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Background: Eliminating hepatitis C virus (HCV) infections is a goal set by the World Health Organization. This has become possible with the introduction of highly effective and safe direct-acting antivirals (DAA) but limitations remain due to undiagnosed HCV infections and loss of patients from the cascade of care at various stages, including those lost to follow-up (LTFU) before the assessment of the effectiveness of the therapy. The aim of our study was to determine the extent of this loss and to establish the characteristics of patients experiencing it., Methods: Patients with chronic HCV infection from the Polish retrospective multicenter EpiTer-2 database who were treated with DAA therapies between 2015 and 2023 were included in the study., Results: In the study population of 18,968 patients, 106 had died by the end of the 12-week post-treatment follow-up period, and 509 patients did not report for evaluation of therapy effectiveness while alive and were considered LTFU. Among patients with available assessment of sustained virological response (SVR), the effectiveness of therapy was 97.5%. A significantly higher percentage of men (p<0.0001) and a lower median age (p=0.0001) were documented in LTFU compared to the group with available SVR assessment. In LTFU patients, comorbidities such as alcohol (p<0.0001) and drug addiction (p=0.0005), depression (p=0.0449) or other mental disorders (p<0.0001), and co-infection with human immunodeficiency virus (HIV) (p<0.0001) were significantly more common as compared to those with SVR assessment. They were also significantly more often infected with genotype (GT) 3, less likely to be treatment-experienced and more likely to discontinue DAA therapy., Conclusions: In a real-world population of nearly 19,000 HCV-infected patients, we documented a 2.7% loss to follow-up rate. Independent predictors of this phenomenon were male gender, GT3 infection, HIV co-infection, alcohol addiction, mental illnesses, lack of prior antiviral treatment and discontinuation of DAA therapy., (© 2024. The Author(s).)

Loss to follow-up (LTFU) in tuberculosis (TB) management increases morbidity and mortality, challenging effective control strategies. This study aims to develop and evaluate machine learning models to predict loss to follow-up in TB patients, improving treatment adherence and outcomes. Retrospective data encompassing tuberculosis patients who underwent treatment or registration at the National Center for Clinical Medical Research on Infectious Diseases from January 2017 to December 2021 were compiled. Employing machine learning techniques, namely SVM, RF, XGBoost, and logistic regression, the study aimed to prognosticate LTFU. A comprehensive cohort of 24,265 tuberculosis patients underwent scrutiny, revealing a LTFU prevalence of 12.51% (n = 3036). Education level, history of hospitalization, alcohol consumption, outpatient admission, and prior tuberculosis history emerged as precursors for pre-treatment LTFU. Employment status, outpatient admission, presence of chronic hepatitis/cirrhosis, drug adverse reactions, alternative contact availability, and health insurance coverage exerted substantial influence on treatment-phase LTFU. XGBoost consistently surpassed alternative models, boasting superior discriminative ability with an average AUC of 0.921 for pre-treatment LTFU and 0.825 for in-treatment LTFU. Our study demonstrates that the XGBoost model provides superior predictive performance in identifying LTFU risk among tuberculosis patients. The identification of key risk factors highlights the importance of targeted interventions, which could lead to significant improvements in treatment adherence and patient outcomes., (© 2024. The Author(s).)

Background: Patient loss-to-follow-up (LTFU) in HIV care is a major challenge, especially in low-resource settings. Although the literature has focused on the total rate at which patients disengage from care, it has not sufficiently examined the specific risk periods during which patients are most likely to disengage from care. By addressing this gap, researchers and healthcare providers can develop more targeted interventions to improve patient engagement in HIV care., Methods: We conducted a retrospective cohort study on newly enrolled adult HIV patients at seven randomly selected high-volume health facilities in Ethiopia from May 2022 to April 2024. Data analysis was performed using SPSS version 26, with a focus on the incidence rate of LTFU during the critical risk periods. Cumulative hazard analysis was used to compare event distributions, whereas a Poisson regression model was used to identify factors predicting LTFU, with statistical significance set at p < 0.05., Results: The analysis included 737 individuals newly enrolled in HIV care; 165 participants (22.4%, 95% CI: 19.5-25.2) were LTFU by the end of two years, of which 50.1% occurred within the first 6 months, 29.7% within 7-12 months, and 19.4% from 13 to 24 months on ART. The overall incidence rate of LTFU was 18.3 per 1,000 PMO (95% CI: 15.9-20.6), with rates of 167.7 in the first 6 months, 55.4 in 7-12 months, and 18.1 in 13-24 months. Incomplete addresses lacking a phone number or location information (IRR: 1.61; 95% CI: 1.14, 2.27) and poor adherence (IRR: 1.78; 95% CI: 1.28, 2.48) were factors predicting the incidence rate of LTFU., Conclusion: LTFU peaked in the first 6 months, accounting for approximately half of total losses, remained elevated from months 7-12, and stabilized after the first year of HIV care and treatment. Address information and adherence were predictors of LTFU. To effectively minimize LTFU, efforts should focus on intensive support during the first six months of care, followed by sustained efforts and monitoring in the next six months. Our findings highlight a critical period for targeted interventions to reduce LTFU in HIV care., (© 2024. The Author(s).)

Objectives: Management of Hepatitis B virus (HBV)-infected patients, whether they are receiving treatment or not, necessitates long-term follow-up. This study evaluated the rate of lost to follow-up (LTFU) among HBV-infected patients and the feasibility of a callback strategy to re-engage these patients in HBV care., Patients and Methods: We conducted a retrospective study involving HBV-infected patients attending the outpatient clinic at Cayenne Hospital, French Guiana. LTFU was defined as patients who had not attended the clinic for more than 18 months. A callback strategy was implemented to re-engage LTFU patients in HBV care., Results: Between 1st January 2015 and 31st December 2018, 203 HBV-infected patients were referred to the outpatient clinic; 95/203 (46.8 %) were LTFU, resulting in a crude LTFU rate of 2.6 (95 % CI, 2.1-3.2) per 100 person-years. At baseline, patients aged 30-40 years (aOR, 0.48; 95 %CI, 0.24-0.95) and those who initiated treatment (aOR, 0.26; 95 %CI, 0.10-0.60) were less likely to be LTFU. Through application of the callback strategy, 55/95 (58 %) patients were successfully contacted, and 46/55 (84 %) attended the outpatient clinic for a liver assessment. The EASL criteria for treatment eligibility were met by 3/46 (4 %) patients. Compared to non-LTFU patients, LTFU patients were more likely to be in informal employment (p = 0.03) and to be receiving state medical assistance (p < 0.01), and had lower levels of knowledge about their condition (p < 0.01)., Conclusions: The callback strategy to re-engage LTFU patients in HBV care is feasible and effectively identifies those eligible for antiviral therapy., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024. Published by Elsevier Masson SAS.)

Background: People lost to follow-up (LTFU) from HIV care have an increased risk of worse health. The objective of this study is to create and validate a risk score to predict LTFU among PLWH in Catalonia and the Balearic Islands., Methods: 6661 PLWH were included. LTFU were those without contact with HIV care for 12 months or more. Logistic regression models were used to assess the role of independent factors on LTFU. The validation included a 10-fold iteration to predict the performance of the regression model and the Area under the ROC Curve (AUC). Regression coefficients were rounded and summed to construct the score., Results: Determinants of LTFU included being younger than 34 years (OR: 1.80, CI, 1.44-2.23), not having been born in Spain (OR: 1.32, 1.11-1.58), men who inject drugs (OR: 2.10, 1.38-3.19), having a detectable viral load (OR: 3.14, 2.47-3.99), and ≤2.5 years since HIV diagnosis (OR: 3.84, 3.10-4.75). The validation of determinants resulted in a mean AUC of 0.69 and the risk-score revealed that 28.8% had a medium and 3.4% a high risk of LTFU respectively., Conclusions: Findings can be used to prevent LTFU in HIV care., Competing Interests: Declaration of conflicting interestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Background: Loss to follow-up (LTFU) among under-five children from HIV care profoundly affects the treatment outcomes of this vulnerable population. It is a major factor that negatively affects the benefits of antiretroviral therapy (ART). Current information about LTFU among HIV-positive under-five children on ART is essential for effective treatments. To far, nevertheless, limited research has been done in Ethiopia to address this issue. Thus, this study aimed to assess the incidence and predictors of LTFU among HIV-infected under-five children receiving ART in West Amhara Comprehensive Specialized Referral Hospitals., Methods: A multicenter institution-based retrospective follow-up study was conducted among 435 HIV-infected under-five children on ART selected by simple random sampling from January 1, 2010 to December 31, 2019, and data were collected between December 1, 2021, and January 31, 2022. A standardized data extraction tool adapted from the ART entry and follow-up forms was used. The event of interest for this study was LTFU, whereas the absence of LTFU was censored. Before being transferred to STATA version 14 for analysis, the data were entered into Epi-Data version 3.1. The Kaplan‒Meier curve was used to estimate an individual's survival-free probability at each specific point in time. The Cox proportional hazards model was used to identify predictors of LTFU., Results: Among the 420 records included in the final analysis, 30 (7.14%) of the individuals were LTFUs. The incidence rate of LTFU was 3.4 per 1000 person-months of observation (95% CI: 2.43-4.87). The survival probabilities of children after 12, 24, 36, and 48 months were 0.97, 0.92, 0.88, and 0.77, respectively. The independent predictors of LTFU were HIV infection in under-five children who lived in rural areas (AHR = 3.64; 95% CI: 1.41, 9.37), poor adherence to ART (AHR = 4.37; 95% CI: 1.59, 12.02), not receiving cotrimoxazole preventive therapy (AHR = 3.75; 95% CI: 1.39, 10.08), not receiving isoniazid prophylaxis (AHR = 3.4; 95% CI: 1.29, 9.01), and having a severe WHO clinical stage (AHR = 5.43; 95% CI: 1.38, 11.43)., Conclusion and Recommendation: The incidence of loss to follow-up was high, especially in the first two years after ART initiation. The risk of LTFU was greater for those who were rural residents, had poor adherence, lacked cotrimoxazole preventive therapy, not given isoniazid prophylaxis, and presented with WHO clinical stages III and IV. Therefore, clinicians should emphasize for cotrimoxazole preventive therapy and isoniazid prophylaxis, for those living in rural areas, who present with poor adherence and WHO clinical stages III and IV., (© 2024. The Author(s).)

Introduction: Inpatient and outpatient evaluation is important for management of temporal bone trauma due to the possible otologic complications that can result. However, there is limited literature on follow up rates following temporal bone fracture. This study aimed to determine the proportion of patients lost to follow up after sustaining temporal bone fractures and identify factors associated with loss to follow up., Methods: Retrospective review of adult patients who sustained temporal bone fractures at a level I trauma center from January 1, 2019 to January 1, 2024 was completed (IRB H-44161). The primary outcome included prevalence of patient loss to follow up. Secondary variables included initial radiographic and exam findings, otologic complications, and demographic characteristics. Patients who were seen in follow up and lost to follow up were compared, and odds of loss to follow up was calculated., Results: Sixty-nine patients met inclusion criteria for this study, of which 30 patients (43.5%) were lost to follow up. Patients who were White had a significantly lower odds of loss to follow up than those who were not White (OR = 0.2506 (95% CI: 0.0706, 0.8067, P  = .0024). While need for acute management was not significantly different between the groups, a significantly lower proportion of patients who were intubated on presentation ( P  = .0091), had abnormal otoscopic exam ( P  = .0211), and had otologic complications ( P  = .0056) were lost to follow up., Conclusion: Almost half of patients who sustained temporal bone fractures, including a significantly higher odds of minority race/ethnicity patients, were lost to follow up., Competing Interests: Declaration of Conflicting InterestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Background: Loss to follow-up (LTFU) from tuberculosis (TB) treatment and care is a significant public health problem. It is important to understand what drives LTFU in children - a population whose treatment and management depend on an adult caregiver - to better provide support services to families affected by TB., Methods: We conducted a prospective cohort study of household contacts in Lima, Peru (2009-12). Using multilevel logistic regression analysis, we explored individual-level characteristics of children and their adult household members with TB disease to identify risk factors for LTFU among children initiated on treatment for TB., Results: A total of 154 child (0-14 years) household contacts were diagnosed with TB and initiated on treatment. While most (n = 133, 86.4%) had a successful outcome, 20 (13.0%) children were LTFU. Six (30.0%) children were LTFU within three months, nine (45.0%) between five to seven months, and three (15.0%) after seven months of treatment being initiated. In univariable analysis, children with index patients above 25 years of age had decreased odds of being LTFU (odds ratio = 0.26; 95% confidence interval = 0.08-0.84) compared to children with index patients 25 years or younger., Conclusions: In this cohort, more than 10% of children sick with TB who were exposed to the disease at home were LTFU. An integrated, family-centred TB prevention and management approach may reduce barriers to a child completing their course of TB treatment., Competing Interests: Disclosure of interest: The authors completed the ICMJE Disclosure of Interest Form (available upon request from the corresponding author) and disclose no relevant interests., (Copyright © 2024 by the Journal of Global Health. All rights reserved.)

After bariatric surgery lifelong follow-up is recommended. Evidence of the consequences and reasons for being lost to follow-up (LTFU) is sparse. In this prospective study follow-up data of all patients who underwent bariatric surgery between 2008 and 2017 at a certified obesity centre were investigated. LTFU patients were evaluated through a structured telephone interview. Overall, 573 patients (female/male 70.9%/29.1%), aged 44.1 ± 11.2 years, preoperative BMI 52.1 ± 8.4 kg/m 2 underwent bariatric surgery. Out of these, 33.2% had type 2 diabetes mellitus and 74.4% had arterial hypertension. A total of 290 patients were LTFU, of those 82.1% could be reached. Baseline characteristics of patients in follow-up (IFU) and LTFU were comparable, but men were more often LTFU ( p = 0.01). Reported postoperative total weight loss (%TWL) and improvements of comorbidities were comparable, but %TWL was higher in patients remaining in follow-up for at least 2 years ( p = 0.013). Travel issues were mentioned as the main reason for being LTFU. A percentage of 77.6% of patients reported to regularly supplement micronutrients, while 71.0% stated regular monitoring of their micronutrient status, mostly by primary care physicians. Despite comparable reported outcomes of LTFU to IFU patients, the duration of the in-centre follow-up period affected %TWL. There is a lack of sufficient supplementation and monitoring of micronutrients in a considerable number of LTFU patients.

Introduction: Loss to follow-up (LTFU) distorts results of randomized controlled trials (RCTs). Understanding trial characteristics that contribute to LTFU may enable investigators to anticipate the extent of LTFU and plan retention strategies. The objective of this systematic review and meta-analysis was to investigate the extent of LTFU in surgical RCTs and evaluate associations between trial characteristics and LTFU., Methods: MEDLINE, Embase, and PubMed Central were searched for surgical RCTs published between January 2002 and December 2021 in the 30 highest impact factor surgical journals. Two-hundred eligible RCTs were randomly selected. The pooled LTFU rate was estimated using random intercept Poisson regression. Associations between trial characteristics and LTFU were assessed using metaregression., Results: The 200 RCTs included 37,914 participants and 1307 LTFU events. The pooled LTFU rate was 3.10 participants per 100 patient-years (95% confidence interval [CI] 1.85-5.17). Trial characteristics associated with reduced LTFU were standard-of-care outcome assessments (rate ratio [RR] 0.17; 95% CI 0.06-0.48), surgery for transplantation (RR 0.08; 95% CI 0.01-0.43), and surgery for cancer (RR 0.10; 95% CI 0.02-0.53). Increased LTFU was associated with patient-reported outcomes (RR 14.21; 95% CI 4.82-41.91) and follow-up duration ≥ three months (odds ratio 10.09; 95% CI 4.79-21.28)., Conclusions: LTFU in surgical RCTs is uncommon. Participants may be at increased risk of LTFU in trials with outcomes assessed beyond the standard of care, surgical indications other than cancer or transplant, patient-reported outcomes, and longer follow-up. Investigators should consider the impact of design on LTFU and plan retention strategies accordingly., (Copyright © 2024 Elsevier Inc. All rights reserved.)

Background: It is estimated that 22-57% of vascular patients are lost to follow-up (LTF) which is of concern as the Society of Vascular Surgery recommends annual patient follow-up. The purpose of this report was to identify social determinants of health factors (SDoH) and their relationship to LTF in vascular patients., Methods: The methods employed were a systematic literature review of 29 empirical articles and a retrospective quality improvement report with 27 endovascular aortic repair (EVAR) and thoracic endovascular aortic repair (TEVAR) patients at the University of Chicago., Results: The systematic literature review resulted in 2,931 articles which were reduced to 29 articles meeting the inclusion criteria. Demographic variables were more frequently cited than SDoH factors, but the most common were smoking, transportation, and socioeconomic status/insurance. Additionally, 176 EVAR and TEVAR patients were called resulting in 27 patients who completed a SDoH questionnaire. Twenty-six percent indicated they had missed at least 1 appointment with the top reasons being work or family responsibilities. Due to limited patient size no statistical analyses were performed, but frequencies of responses to SDoH questions were reported to augment the existing limited literature and guide future research into variables such as one's ability to pay for basics like food or mortgage., Conclusions: SDoH factors are important yet understudied aspects of endovascular repairs that require more research to understand their impact on vascular surgery follow-up rates and outcomes. Additional research is needed as lack of consideration of such factors may impact the generalizability of existing research and such knowledge may help in informing clinician treatment plans., (Copyright © 2024 Elsevier Inc. All rights reserved.)

Objectives: The objective of this study is to assess the outcomes of children, adolescents and young adults with HIV reported as lost to follow-up, correct mortality estimates for children, adolescents and young adults with HIV for unascertained outcomes in those loss to follow-up (LTFU) based on tracing and linkage data separately using data from the International epidemiology Databases to Evaluate AIDS in Southern Africa., Methods: We included data from two different populations of children, adolescents and young adults with HIV; (1) clinical data from children, adolescents and young adults with HIV aged ≤24 years from Lesotho, Malawi, Mozambique, Zambia and Zimbabwe; (2) clinical data from children, adolescents and young adults with HIV aged ≤14 years from the Western Cape (WC) in South Africa. Outcomes of patients lost to follow-up were available from (1) a tracing study and (2) linkage to a health information exchange. For both populations, we compared six methods for correcting mortality estimates for all children, adolescents and young adults with HIV., Results: We found substantial variations of mortality estimates among children, adolescents and young adults with HIV reported as lost to follow-up versus those retained in care. Ascertained mortality was higher among lost and traceable children, adolescents and young adults with HIV and lower among lost and linkable than those retained in care (mortality: 13.4% [traced] vs. 12.6% [retained-other Southern Africa countries]; 3.4% [linked] vs. 9.4% [retained-WC]). A high proportion of lost to follow-up children, adolescents and young adults with HIV had self-transferred (21.0% and 47.0%) in the traced and linked samples, respectively. The uncorrected method of non-informative censoring yielded the lowest mortality estimates among all methods for both tracing (6.0%) and linkage (4.0%) approaches at 2 years from ART start. Among corrected methods using ascertained data, multiple imputation, incorporating ascertained data (MI(asc.)) and inverse probability weighting with logistic weights were most robust for the tracing approach. In contrast, for the linkage approach, MI(asc.) was the most robust., Conclusions: Our findings emphasise that lost to follow-up is non-ignorable and both tracing and linkage improved outcome ascertainment: tracing identified substantial mortality in those reported as lost to follow-up, whereas linkage did not identify out-of-facility deaths, but showed that a large proportion of those reported as lost to follow-up were self-transfers., (© 2024 The Author(s). Tropical Medicine & International Health published by John Wiley & Sons Ltd.)

Background: Many prevention of vertical transmission (PVT) studies assess outcomes within 12 months postpartum and exclude those lost to follow-up (LTFU), potentially biasing outcomes toward those retained in care., Setting: Five public facilities in western Kenya., Methods: We recruited women living with HIV (WLH) ≥18 years enrolled in antenatal clinic (ANC). WLH retained in care (RW) were recruited during pregnancy and followed with their children through 6 months postpartum; WLH LTFU (LW, last visit >90 days) after ANC enrollment and ≤6 months postpartum were recruited through community tracing. Recontact at 3 years was attempted for all participants. Primary outcomes were retention and child HIV-free survival. Generalized linear regression was used to estimated risk ratios (RRs) for associations with becoming LTFU by 6 months postpartum, adjusting for age, education, facility, travel time to facility, gravidity, income, and new vs. known HIV positive at ANC enrollment., Results: Three hundred thirty-three WLH (222 RW, 111 LW) were recruited from 2018 to 2019. More LW versus RW were newly diagnosed with HIV at ANC enrollment (49.6% vs. 23.9%) and not virally suppressed at study enrollment (40.9% vs. 7.7%). 6-month HIV-free survival was lower for children of LW (87.9%) versus RW (98.7%). At 3 years, 230 WLH were retained in care (including 51 previously LTFU before 6 months), 30 transferred, 70 LTFU, and 3 deceased. 3-year child HIV-free survival was 81.9% (92.0% for children of RW, 58.6% for LW), 3.7% were living with HIV, 3.7% deceased, and 10.8% had unknown HIV/vital status. Being newly diagnosed with HIV at ANC enrollment was the only factor associated with becoming LTFU (aRR 1.21, 95% CI: 1.11 to 1.31)., Conclusions: Outcomes among those LTFU were worse than those retained in care, underscoring the importance of retention in PVT services. Some, but not all, LW re-engaged in care by 3 years, suggesting the need for PVT services must better address the barriers and transitions women experience during pregnancy and postpartum., Competing Interests: The East Africa International Epidemiology Databases to Evaluate AIDS (IeDEA) is supported by the US National Institutes of Health's National Institute of Allergy and Infectious Diseases, the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), the National Cancer Institute, the National Institute of Mental Health, the National Institute on Drug Abuse, the National Heart, Lung, and Blood Institute, the National Institute on Alcohol Abuse and Alcoholism, the National Institute of Diabetes and Digestive and Kidney Diseases, the Fogarty International Center, and the National Library of Medicine (#U01AI069911). This work was also supported by the Moi Teaching and Referral Hospital Intramural Research Fund. Dr. Humphrey's effort was supported by the NICHD (K23HD105495). The authors declare no conflicts of interest., (Copyright © 2024 The Author(s). Published by Wolters Kluwer Health, Inc.)

Background: Loss to follow-up (LTFU) among paediatric patients living with HIV presents a significant challenge to the global scale-up of life-saving antiretroviral therapy (ART)., Objectives: This study aims to estimate LTFU incidence and its determinants among children with HIV on ART in Shashemene town public health institutions, Oromia, Ethiopia., Design: A retrospective cohort study from 1 January 2015 to 30 December 2020., Setting: This study was conducted in Shashemene town, Oromia, Ethiopia., Participants: Medical records of 269 children receiving ART at health facilities in Shashemene town were included., Methods: Data from patients' medical records were collected using a standardised checklist. EpiData V.3.1 was employed for data entry, while Statistical Package for the Social Sciences (SPSS) V.25 facilitated analysis. The Kaplan-Meier survival curve was used for estimation of survival time. To measure association, adjusted HRs (AHRs) with 95% CIs were calculated. Both bivariable and multivariable Cox proportional hazards regression models were employed to identify predictors of LTFU., Results: Of the 269 children living with HIV included in the final analysis, 43 (16%) were lost to follow-up. The overall incidence rate of LTFU was 3.3 (95% CI 2.4 to 4.4) per 100 child-years of observation. Age less than 5 years (AHR 0.03, 95% CI 0.00 to 0.36), non-orphan status of the child (AHR 0.13, 95% CI 0.05 to 0.34), < 30 min distance to health facility (AHR 0.24, 95% CI 0.08 to 0.73), disclosed HIV status (AHR 0. 32, 95% CI 0.13 to 0.80), history of opportunistic infection (AHR 3.54, 95% CI 1.15 to 10.87) and low CD4 count (AHR 5.17, 95% CI 2.08 to 12.85) were significant predictors of LTFU., Conclusion: The incidence rate of LTFU was lower compared with other studies in Ethiopia. This result indicated that age less than 5 years, non-orphans, low CD4, disclosed HIV status and distance from health facility were predictors of LTFU., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Despite the effectiveness of antiretroviral therapy (ART), human immunodeficiency virus (HIV) infection remains a global public health concern. However, weaknesses in its management regarding access to integrated HIV care include treatment gaps and loss to follow-up (LTFU) from antiretroviral treatment (ART). This study aimed to characterize the epidemiological and clinical profiles of people living with HIV/AIDS (PLHA) in LTFU from HIV care in Campo Grande, Central Brazil. This retrospective cross-sectional study was conducted between January 2021 and April 2022 using secondary data from PLHA who had LTFU in Campo Grande. A total of 852 patients with PLHA were included in this study. The majority of participants in LTFU were male (63.1%), had a CD4 cell count > 200 cells/mm 3 (68.2%), and had been treated for ≥ 3 months (86.4%). Only 287 (33.7%) participants had undetectable HIV viral load. Of the total number of patients who returned to treatment during the study period, 448 (54.3%) were LTFU-positive. The tracking strategy was not applied to 556 (65.26%) patients, and 44.4% of the participants had been in spontaneous demand. These results highlight the relevance of patient-centered interventions and the need to ensure early treatment and promote retention in care systems with consequent viral suppression, impacting the healthcare indicators of the population, with emphasis on health managers and stakeholders in HIV care., (© 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

This retrospective cohort study identified factors associated with loss of follow-up and death due to tuberculosis (TB) in the homeless population (HP) in Brazil, estimating odds ratios (OR) and their 95% confidence intervals (95%CI) by multinomial logistic regression. A total of 3,831 TB cases in this population were analyzed, of which 57.0% had unfavorable outcomes. Loss of follow-up was associated with: history of abandonment (OR=2.38; 95%CI 2.05-2.77), unknown HIV serology (OR=1.79; 95%CI 1.38-2.32), HIV coinfection (OR=1.73; 95%CI 1.46-2.06), drug use (OR=1.54; 95%CI 1.31-1.80), age (OR=0.98; 95%CI 0.97-0.99), mixed clinical form (OR=0.64; 95%CI 0.42-0.97), extrapulmonary form (OR=0.46; 95%CI 0.29-0.73), government beneficiary (OR=0.64; 95%CI 0.50-0.81), and supervised treatment (OR=0.52; 95%CI 0.45-0.60). Regarding death, the following were associated: age (OR=1.03; 95%CI 1.01-1.05), unknown HIV serology (OR=2.39; 95%CI 1.48-3.86), alcohol consumption (OR=1.81; 95%CI 1.27-2.58), and supervised treatment (OR=0.70; 95%CI 0.51-0.96). Overlapping vulnerabilities in the health-disease process of homeless individuals with TB were observed, requiring comprehensive and cross-sectoral care practices.

Medication withdrawal remains a problem in Nigeria's HIV care. The Enugu state of southeast Nigeria has 3,736 people living with HIV/AIDS (PLHIV), with a 1.9% HIV-positive prevalence rate among the age band of 15-49 years, higher than 1.3%, the national average for the same cohort. Despite the disease burden, many cases are "lost to follow-up" in this region. Through four focus groups of patients (20 participants in total) and in-depth interviews with four clinicians from four public hospitals, this study aimed to understand the barriers to attending healthcare appointments faced by young adults. The participants were recruited through flyers, posters, and snowballs at clinics; both data sets were first analysed separately yet used to triangulate each other. We found that clinical interruptions are mainly attributable to factors such as stigma, suicidal ideation, loss of means of livelihood due to PLHIV's "new identities", and thus poverty and malnutrition. These barriers, complicated by the COVID-19 pandemic and armed conflicts in the region, have made medication adherence further challenging. Therefore, we recommend the Nigerian government integrate non-biomedical support for PLHIV into people-centred HIV care.

Despite expanded and successful antiretroviral therapy program coverage, a large proportion of people drop out at different stages along their treatment course. As a result, treatment gains do not reach a large proportion of these groups. It has been demonstrated that around half of the patients who test Human immunodeficiency virus (HIV) positive in Sub-Saharan Africa are lost between testing and being considered for eligibility for therapy. The purpose of this study was to determine the factors that influence patients on antiretroviral therapy who lost to follow up in HIV treatment clinics in Asunafo South District, Ahafo Region. We used phenomenological qualitative research approach in conducting this study. Purposive sampling was used to select respondents, while key informant interview was used to collect the data. The major identified challenges in carrying out follow-up visits of patients on antiretroviral therapy were wrong addresses and phone numbers of clients, coupled with poor telecommunication networks, geographical relocation of clients, poor documentation of patients' information, and non-availability of means of transport. The preferred reengagement strategies identified in this study were: supply of drugs through home visits, intensive education, engaging the services of community-based surveillance officers, enhanced regular phone calls visits, adoption and use of an integrated antiretroviral therapy clinic, intensified education on HIV, and involvement of religious leaders. In conclusion, all clinicians and stakeholders should consider the identified challenges and reengagement strategies when providing antiretroviral services., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Kogi et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Background: Identifying patients at increased risk of loss to follow-up (LTFU) is key to developing strategies to optimize the clinical management of tuberculosis (TB). The use of national registry data in prediction models may be a useful tool to inform healthcare workers about risk of LTFU. Here we developed a score to predict the risk of LTFU during anti-TB treatment (ATT) in a nationwide cohort of cases using clinical data reported to the Brazilian Notifiable Disease Information System (SINAN)., Methods: We performed a retrospective study of all TB cases reported to SINAN between 2015 and 2022; excluding children (< 18 years-old), vulnerable groups or drug-resistant TB. For the score, data before treatment initiation were used. We trained and internally validated three different prediction scoring systems, based on Logistic Regression, Random Forest, and Light Gradient Boosting. Before applying our models we splitted our data into training (~ 80% data) and test (~ 20%) sets, and then compared the model metrics using the test data set., Results: Of the 243,726 cases included, 41,373 experienced LTFU whereas 202,353 were successfully treated. The groups were different with regards to several clinical and sociodemographic characteristics. The directly observed treatment (DOT) was unbalanced between the groups with lower prevalence in those who were LTFU. Three models were developed to predict LTFU using 8 features (prior TB, drug use, age, sex, HIV infection and schooling level) with different score composition approaches. Those prediction scoring systems exhibited an area under the curve (AUC) ranging between 0.71 and 0.72. The Light Gradient Boosting technique resulted in the best prediction performance, weighting specificity and sensitivity. A user-friendly web calculator app was developed ( https://tbprediction.herokuapp.com/ ) to facilitate implementation., Conclusions: Our nationwide risk score predicts the risk of LTFU during ATT in Brazilian adults prior to treatment commencement utilizing schooling level, sex, age, prior TB status, and substance use (drug, alcohol, and/or tobacco). This is a potential tool to assist in decision-making strategies to guide resource allocation, DOT indications, and improve TB treatment adherence., (© 2024. The Author(s).)

Background: At the end of 2022, globally, only 46% of children (aged 0-14 years) on ART had suppressed viral loads. Viral load suppression is crucial to reduce HIV-related deaths. To suppress the viral load at the expected level, children must be retained in ART treatment. Nevertheless, lost to follow-up from ART treatment continues to be a global challenge, particularly, in developing countries. Previously, primary studies were conducted in Ethiopia to assess the incidence of lost to follow-up among HIV-positive children on ART treatment. However, variations have been seen among the studies. Therefore, this systematic review and meta-analysis aimed to estimate the pooled incidence of lost to follow-up among HIV-positive children on ART and identify its associated factors in Ethiopia., Methods: We searched PubMed, HINARI, Science Direct, Google Scholar, and African Journals Online to obtain articles published up to November 20, 2023. Critical appraisal was done using the Joanna Briggs Institute checklist. Heterogeneity was identified using I-square statistics. Funnel plot and Egger's tests were used to identify publication bias. Data was presented using forest plots and tables. Random and fixed-effect models were used to compute the pooled estimate., Results: Twenty-four studies were included in the final analysis. The pooled incidence of lost to follow-up among HIV-positive children on ART was 2.79 (95% CI: 1.99, 3.91) per 100-child-year observations. Advanced HIV disease (HR: 2.20, 95% CI: 1.71, 2.73), having opportunistic infection (HR: 2.59, 95% CI: 1.39; 4.78), fair or poor ART treatment adherence (HR: 2.92, 95% CI: 1.31; 6.54) and children aged between 1-5 years (HR: 2.1,95% CI: 1.44; 2.95) were factors associated with lost to follow up among HIV positive children on ART., Conclusions: The overall pooled incidence of lost to follow-up among HIV-positive children on ART is low in Ethiopia. Therefore, counseling on ART drug adherence should be strengthened. Moreover, emphasis has to be given to children with advanced HIV stage and opportunistic infection to reduce the rate of lost to follow up among HIV-positive children on ART., Trial Registration: Registered in PROSPERO with ID: CRD42024501071., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Girma et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Objective: To analyze receipt of care at other locations within a single rural academic health system after loss to follow-up in a cardiology clinic., Study Design: Patients with congenital heart defects seen in the clinic during 2018 and subsequently lost to cardiology follow-up were included in the study. We defined loss to follow-up as not being seen in the clinic for at least 6 months past the most recently recommended follow-up visit. Subsequent visits to other locations, including other subspecialty clinics, primary care clinics, the emergency department, and the hospital, were tracked through 2020., Results: Of 235 patients (median age 7 years, 136/99 female/male), 96 (41%) were seen elsewhere in the health system. Of 96 patients with any follow-up, 40 were seen by a primary care provider and 46 by another specialist; 44 were seen in the emergency department and 12 more were hospitalized. Patients with medical comorbidities or Medicaid insurance and those living closer to the clinic were more likely to continue receiving care within the same health system., Conclusions: Patients with congenital heart defect are frequently lost to cardiology follow-up. Our study supports collaboration across specialties and between cardiology clinics and affiliated emergency departments to identify patients with congenital heart defect who have been lost to cardiology follow-up but remain within the health system. A combination of in-person and remote outreach to these patients may help them continue cardiology care., Competing Interests: Declaration of Competing Interest L.A.S is a paid consultant for Nutricia. This financial relationship is not directly or indirectly related to the work submitted for publication. The other authors declare no conflicts of interest., (Copyright © 2024 Elsevier Inc. All rights reserved.)

Introduction: Trauma patients are at high risk for loss to follow-up (LTFU) after hospital discharge. We sought to identify risk factors for LTFU and investigate associations between LTFU and long-term health outcomes in the trauma population., Methods: Trauma patients with an Injury Severity Score ≥9 admitted to one of three Level-I trauma centers, 2015-2020, were surveyed via telephone 6 mo after injury. Univariate and multivariate analyses were performed to assess factors associated with LTFU and several long-term outcomes., Results: Of 3609 patients analyzed, 808 (22.4%) were LTFU. Patients LTFU were more likely to be male (71% versus 61%, P = 0.001), Black (22% versus 14%, P = 0.003), have high school or lower education (50% versus 42%, P = 0.003), be publicly insured (23% versus 13%, P < 0.001), have a penetrating injury (13% versus 8%, P = 0.006), have a shorter length of stay (3.64 d ± 4.09 versus 5.06 ± 5.99, P < 0.001), and be discharged home without assistance (79% versus 50%, P < 0.001). In multivariate analyses, patients who followed up were more likely to require assistance at home (6% versus 11%; odds ratio [OR] 2.23, 1.26-3.92, P = 0.005), have new functional limitations (11% versus 26%; OR 2.91, 1.97-4.31, P = < 0.001), have daily pain (30% versus 48%; OR 2.11, 1.54-2.88, P = < 0.001), and have more injury-related emergency department visits (7% versus 10%; OR 1.93, 1.15-3.22, P = 0.012)., Conclusions: Vulnerable populations are more likely to be LTFU after injury. Clinicians should be aware of potential racial and socioeconomic disparities in follow-up care after traumatic injury. Future studies investigating improvement strategies in follow-up care should be considered., (Copyright © 2024 Elsevier Inc. All rights reserved.)

Following the World Health Organization's guidelines for rapid antiretroviral therapy (ART) initiation [≤7 days after human immunodeficiency virus (HIV) diagnosis], China implemented Treat-All in 2016 and has made significant efforts to provide timely ART since 2017. This study included newly diagnosed HIV adults from Tianjin, China, between 2016 and 2022. Our primary outcome was loss to follow-up (LTFU) at 12 months after enrollment. The secondary outcome was 12-month virological failure. The association between rapid ART and LTFU, as well as virological failure, was assessed via Cox regression and logistic regression. A total of 896 (19.1%) of 4688 participants received ART ≤7 days postdiagnosis. The rate of rapid ART has increased from 7.5% in 2016 to 33.3% by 2022. The rapid ART group had an LTFU rate of 3.3%, as opposed to 5.0% in the delayed group. The rapid ART group had a much reduced virological failure rate (0.6% vs. 1.8%). Rapid ART individuals had a reduced likelihood of LTFU [adjusted hazard ratio: 0.65, 95% confidence intervals (CI): 0.44-0.96] and virological failure (adjusted odds ratio: 0.35, 95% CI: 0.12-0.80). The real-world data indicated that rapid ART is practicable and beneficial for Chinese people with HIV, providing evidence for its widespread implementation and scaling up.

Introduction: Loss of follow-up (LTFU) from ART regular follow-up is one of the key acknowledged causes for the development of ART-resistant virus strains currently. It becomes a major weakness for the successful implementation of HIV care and treatment programs mainly in Sub-Saharan Africa but also globally. About 20-40% of children on ART loss their regular ART follow-up annually. Because of the inconsistency of the prior publications' findings, policymakers, programmers, and healthcare providers find it difficult to intervene. Hence, this study was conducted to provide a pooled incidence and identify the predictors of LTFU among children on ART in Ethiopia., Methods: Articles were searched from PubMed/ MEDLINE, CINAHL, EMBASE, Google Scholar, and Science Direct, as well as organizational records and websites. This review included both retrospective and prospective follow-up studies published in English. The data were extracted using Microsoft Excel and exported into Stata™ Version 17.0 for further processing and analysis. The presence of heterogeneity was assessed using forest plots with the I 2 test. To identify the source of heterogeneity subgroup analysis, meta-regression, publication bias, and sensitivity analysis were computed. The pooled incidence of LTFU was estimated using a random effects meta-analysis model with the DerSimonian-laired method. To identify the predictors, a 95% confidence interval with relative risk was used to declare the presence or absence of an association., Results: In this systematic review and Meta-analysis, nine studies with a total of 3336 children were included. The pooled incidence of LTFU from ART was 5.83 (95% CI: 3.94, 7.72) per 100 children-years of observation with I 2 : 83% & p-value < 0.001. Those children who were from rural were had a 1.65 (95% CI: 1.06, 2.52) times higher chance of getting LTFU when compared with their counterparts. Children who had poor ART adherence had a 2.03 (95% CI: 1.23, 3.34) times higher chance of experiencing LTFU of ART than children having good ART adherence., Conclusions: Among Ethiopian children on ART, one out of 167 had the risk of experiencing LTFU. Being rural dwellers and having poor ART adherence were the identified predictors of LTFU. Close follow-up and phone message text should be used to have good ART adherence among rural dwellers to meet the predetermined goal of ART., (© 2023. The Author(s).)

Background: Loss to follow-up (LTFU) is an unsuccessful treatment outcome for tuberculosis (TB) patients. In Malaysia, LTFU affects around 1 in 20 TB patients. Integration of qualitative research methods and evidence will provide a better understanding of LTFU and its underlying issues. In this study, we qualitatively explored TB patients' experiences in receiving treatment and their reasons for leaving TB care., Method: In-depth interviews of 15 patients with a history of LTFU were conducted from January to September 2020. Interview guides were developed to explore TB patients' experiences while receiving treatment, including challenges faced and reasons for treatment interruption. Data were thematically analysed using the framework method., Results: We identified 11 emerging themes that occurred at four levels of interaction with TB patients. First, at the patient personal level, TB beliefs referring to patients' perception of illness and wellness, patients' perceived role of traditional and complementary medicine, and substance abuse were important. Second, the healthcare system and treatment factors that were highlighted included the organisation of care and treatment, interaction with healthcare professionals, particularly in communication and counselling, and TB medications' side effects. Third, structural factors including financial burden, logistical and transportation issues and work-related factors were identified to be barriers to treatment continuation. Fourth, the interpersonal level interaction of patients should not be neglected; this includes family relationships and support as well as peer influence., Conclusion: Study findings put forth issues and challenges faced by TB patients while receiving treatment and underscore areas where actions can be taken. This will contribute to informing the development and implementation of future TB control strategies that are responsive to TB patients' needs and concerns, to effectively address LTFU and ensure better treatment completion rates among TB patients in Malaysia., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2023 Tok et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Background: Despite the importance of long term follow-up care for patients with chronic disease, many patients fail to adhere to their follow-ups, which increase their risk of further health complications. Therefore, the purpose of this scoping review was to find out the factors associated with lost to follow-up (LTFU) amongst patients with chronic disease in the ambulatory care setting of high-income countries (HICs) to gain insights for better quality of care. Understanding the definition of LTFU is imperative in informing patients, health professionals and researchers for clinical and research purposes. This review also provided an overview of the terms and definitions used to describe LTFU., Methods: The following databases: CINAHL, EMBASE, Medline, PsycINFO and Web of Science were searched for studies investigating the factors associated to LTFU from the date of inception until 07 January 2022., Results: Five thousand one hundred and seven records were obtained across the databases and 3,416 articles were screened after removing the duplicates. 25 articles met the inclusion criteria, of which 17 were cohort studies, five were cross-sectional studies and three were case-control studies. A total of 32 factors were found to be associated with LTFU and they were categorised into patient factors, clinical factors and healthcare provider factors., Conclusion: Overall, the factors associated with LTFU were generally inconsistent across studies. However, some factors such as financial factors (i.e., no insurance coverage) and low accessibility of care were consistently associated with LTFU for both mental and physical chronic conditions. The operational definitions of LTFU also varied greatly across studies. Given the mixed findings, future research using qualitative aproaches would be pivotal in understanding LTFU for specific chronic diseases and the development of targeted interventions. Additionally, there is a need to standardise the operational definition of LTFU for research as well as clinical practice purposes., (© 2023. BioMed Central Ltd., part of Springer Nature.)

Objective: Missed or cancelled imaging tests may be invisible to the ordering clinician and result in diagnostic delay. We developed an outpatient results notification tool (ORNT) to alert physicians of patients' missed radiology studies., Design: Randomised controlled evaluation of a quality improvement intervention., Setting: 23 primary care and subspecialty ambulatory clinics at an urban academic medical centre., Participants: 276 physicians randomised to intervention or usual care., Main Outcome Measure: 90-day test completion of missed imaging tests., Results: We included 3675 radiology tests in our analysis: 1769 ordered in the intervention group and 1906 in the usual care group. A higher per cent of studies were completed for intervention compared with usual care groups in CT (20.7% vs 15.3%, p=0.06), general radiology (19.6% vs 12.0%, p=0.02) and, in aggregate, across all modalities (18.1% vs 16.1%, p=0.03). In the multivariable regression model adjusting for sex, age and insurance type and accounting for clustering with random effects at the level of the physician, the intervention group had a 36% greater odds of test completion than the usual care group (OR: 1.36 (1.097-1.682), p=0.005). In the Cox regression model, patients in the intervention group were 1.32 times more likely to complete their test in a timely fashion (HR: 1.32 (1.10-1.58), p=0.003)., Conclusions: An electronic alert that notified the responsible clinician of a missed imaging test ordered in an ambulatory clinic reduced the number of incomplete tests at 90 days. Further study of the obstacles to completing recommended diagnostic testing may allow for the development of better tools to support busy clinicians and their patients and reduce the risk of diagnostic delays., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Aims: Despite their advantages, longitudinal studies often face high rates of attrition. This study documents the extensive efforts associated with retaining a longitudinal cohort last contacted 10 years earlier., Method: We examine the processes and outcomes of attempts to reach 1736 individuals who have been part of a multiwave study about growing up in Ontario, Canada. Contact methods include email, phone, text, social media, postal mail, announcements in newspapers, subway stations, and music streaming services., Results: Challenges included a lack of consistent annual communication with participants, children moving out of the parental home, and changes in email addresses and phone numbers. The most effective contact method was phone; text messages and friend referrals were the least effective. Overall, 41.5% of the original sample was reached. Locating former research participants years later necessitated multiple and repeated contact attempts, and intensive human resources., Conclusion: Ten lessons for effective sample retention are discussed. In summary, reducing attrition depends on a comprehensive study design and an organized and flexible protocol that adapts to a study's ever-changing needs., (© 2022 The Authors. Journal of Community Psychology published by Wiley Periodicals LLC.)

Background: Indonesia's national Tuberculosis (TB) strategy is public-private mix (PPM). The PPM aims to treat patients who have lost sight during TB treatment as these patients are TB carriers and at risk of transmitting TB. The purpose of this study was to identify predictive factors for loss to follow-up (LFTU) among TB patients receiving treatment when the PPM was at place in Indonesia., Methods: The design of this study was a retrospective cohort study. The data used in this study was sourced from the Tuberculosis Information System (SITB) of Semarang which was recorded routinely during 2020-2021. Univariate analysis, crosstabulation, and logistic regression were performed on 3434 TB patients meeting the minimum variables., Results: The participation of health facilities in reporting TB during the PPM era in Semarang reached 97.6% consisting of 37 primary healthcare center (100%), 8 public hospitals (100%), 19 private hospitals (90.5%), and a community-based pulmonary health center (100%). The regression analysis reveal that the predictive factors of LTFU-TB during the PPM are the year of diagnosis (AOR=1.541; p-value=<0.001; 95% CI=1.228-1.934), referral status (AOR=1.562, p-value=0.007; 95% CI=1.130-2160), healthcare and social security insurance ownership (AOR=1.638; p-value=<0.001; 95% CI=1.263-2.124), drugs source (AOR=4.667; p-value=0.035; 95% CI=1.117-19.489)., Conclusions: The PPM strategy in dealing with LTFU patients should focus on TB patients without Healthcare and Social Security Insurance and who receive TB treatment rather than program drugs., (© 2023 Sri Ratna R., et al.)

Background and Objectives: Cancer registries must focus on data capture which returns value while reducing resource burden with minimal loss of data. Identifying the optimum length of follow-up data collection for patients with cancer achieves this goal., Methods: A two-step analysis using entropy calculations to assess information gain for each follow-up year, and second-order differences to compare survival outcomes between the defined follow-up periods and lifetime follow-up. A total of 391 567 adult cases, deidentified in the National Cancer Database and diagnosed in 1989. Comparisons examined a subset of 61 908 lung cancer cases, 48 387 colon and rectal cancer cases, and 64 134 breast cancer cases in adults. A total of 4133 pediatric cases were diagnosed in 1989 examining 1065 leukemia cases and 494 lymphoma cases., Results: Annual increases in information gain fell below 1% after 16 years of follow-up for adult cases and 9 years for pediatric cases. Comparison of second-order differences showed 62% of the comparisons were similar between 15 years and lifetime follow-up when examining restricted mean survival time. In addition, 90% of the comparisons were statistically similar when comparing hazard ratios., Conclusions: Survival analysis using 15 years postdiagnosis follow-up showed minimal differences in information gain compared to lifetime follow-up., (© 2022 American College of Surgeons. Journal of Surgical Oncology © 2022 Wiley Periodicals LLC.)

Background: Linkage studies have reported high rates of previously unascertained mortality among people living with HIV (PLHIV) who have been lost to follow-up (LTFU). We assessed survival outcomes among PLHIV who were LTFU in Thailand and Malaysia, through linkages to a national death registry or HIV database., Methods: Data linkages with the national death registry or national HIV database were conducted in 2020 on all PLHIV who met LTFU criteria while enrolled in care at participating HIV clinical sites. LTFU was defined as having no documented clinical contact in the previous year, excluding transfers and deaths. Survival time was analyzed using the Cox regression, stratified by site., Results: Data linkages were performed for 489 PLHIV who had been LTFU at sites in Malaysia (n = 2) and Thailand (n = 4). There were 151 (31%) deaths after being LTFU; the mortality rate was 4.89 per 100 person-years. Risk factors for mortality after being LTFU were older age [41-50 years: hazard ratio (HR) = 1.99, 95% confidence interval (CI): 1.08 to 3.68; and older than 50 years: HR = 4.93, 95% CI: 2.63 to 9.22; vs. age 30 years or younger]; receiving NRTI + PI (HR = 1.87, 95% CI: 1.22 to 2.85 vs. NRTI + NNRTI); positive hepatitis C antibody (HR = 2.25, 95% CI: 1.40 to 3.62); and having previous AIDS illness (HR = 1.45, 95% CI: 1.03 to 2.05). An improved survival was seen with a higher CD4 count (CD4 351-500 cells/µL: HR = 0.40, 95%CI: 0.21-0.76; and CD4 &gt;500 cells/µL: HR = 0.43, 95%CI: 0.25-0.75; vs. CD4 ≤200 cells/µL)., Conclusions: Almost one-third of PLHIV who were LTFU in this cohort had died while out of care, emphasizing the importance of efforts to reengage PLHIV after they have been LTFU and ensure they have access to ongoing ART., Competing Interests: The authors have no conflicts of interest to disclose., (Copyright © 2022 Wolters Kluwer Health, Inc. All rights reserved.)

Background: People living with HIV/AIDS are enrolled in lifelong Anti-Retroviral Treatment (ART) irrespective of their clinical staging as well as CD4 cell count. Although this "Universal Test and Treat" strategy of ART was found to have numerous benefits, loss from follow-up and poor retention remained a long-term challenge for the achievement of ART program targets. Hence, this study is aimed at addressing the much-needed effect of the test and treat strategy on the incidence of loss to follow-up (LTFU) in Ethiopia., Method and Materials: An institution-based follow-up study was conducted on 513 adults (age ≥15) who enrolled in ART at a public health institution in Bahir Dar City, Northwest Ethiopia. Data were extracted from the charts of selected patients and exported to Stata 14.2 software for analysis. Basic socio-demographic, epidemiological, and clinical characteristics were described. The Kaplan-Meier curve was used to estimate the loss to follow-up free (survival) probability of HIV-positive adults at 6, 12, 24, and 48 months of ART therapy. We fitted a multivariable Cox model to determine the statistically significant predictors of LTFU., Result: The incidence density of LTFU was 9.7 per 100 person-years of observation (95% CI: 7.9-11.9 per 100 PYO). Overall, LTFU is higher in the rapid ART initiation (24% in rapid initiated vs. 11.3% in lately initiated, AHR 2.08, P = 0.004), in males (23% males vs. 14.7% females, AHR1.96, P = 0.004), in singles (34% single vs. 11% married, with AHR1.83, P = 0.044), in non-disclosed HIV-status (33% non-disclosed 11% disclosed, AHR 2.00 p = 0.001). Patients with poor/fair ART adherence were also identified as another risk group of LTFU (37% in poor vs. 10.5% in good adherence group, AHR 4.35, P = 0.001)., Conclusion: The incidence of LTFU in this universal test and treat era was high, and the highest figure was observed in the first 6 months. Immediate initiation of ART in a universal test and treat strategy shall be implemented cautiously to improve patient retention and due attention shall be given to those high-risk patients., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Bantie, Seid, Kerebeh, Alebel and Dessie.)

Background: Due to improved coverage and scale-up of antiretroviral therapy (ART), patients are increasingly transferring between ART-providing sites. Self-transfers may constitute a high proportion of patients considered lost to follow-up (LTFU), and if overlooked when reporting patients who have dropped out of HIV care, may result in an incorrect estimation of retention. We determined the prevalence of self-transfers, and successful tracing, and identified associated factors among people living with HIV (PLHIV) LTFU from care at public health facilities in Sheema District, Southwestern Uganda., Methods: We conducted a cross-sectional retrospective medical records review during February and March 2022. We included records of all PLHIV who were LTFU from 2017 to 2021, and who were registered at government-owned ART clinics in Sheema District. LTFU was considered for those who were not taking ART refills for a period of ≥ 3 months. We abstracted demographic and clinical data from medical records at the selected clinics. Participants were traced via phone calls or in-person to ascertain the outcomes of LTFU. We performed multivariate modified Poisson regression to identify factors associated with self-transfer, and successful tracing., Results: Overall, 740 patients were identified as LTFU from three ART-providing clinics; of these, 560 (76%) were self-transfers. The mean age was 30 (SD ± 10) years, and most (69%, n = 514) were female; the majority (87%, 641/740) were successfully traced. Age (adjusted prevalence ratio [aPR] = 1.13, 95% CI 1.01-1.25, P = 0.026 for those aged 18-30 years compared to > 30 years), female sex (aPR = 1.18, 95% CI 1.11-1.25, P < 0.001), and having WHO clinical stage 1-2 (aPR = 2.34, 95% CI 1.89-3.91, P < 0.001) were significantly associated with self-transfer. Presence of a phone contact in the patient's file (aPR = 1.10, 95% CI 1.01-1.90, P = 0.026) was associated with successful tracing of the patients considered LTFU., Conclusion: Self-transfers accounted for the majority of patients recorded as LTFU, highlighting the need to account for self-transfers among patients considered LTFU, to accurately estimate retention in care. ART-providing facilities should regularly update contact information for PLHIV to enable successful tracing, in the event that the patients are LTFU. This calls for a health-tracking system that easily identifies self-transfers across ART-providing clinics using unique patient identifiers., (© 2022. The Author(s).)

Objectives: Drug-resistant tuberculosis remains a serious public health problem worldwide, particularly in developing countries, including China. This study determined treatment outcomes among a cohort in Guangzhou, China, and identified factors associated with them., Methods: We initiated a retrospective study using drug-resistant TB data in Guangzhou from 2016 to 2020, managed by Guangzhou Chest Hospital. A competing risk model was used to identify the factors associated with treatment failure and death, as well as loss to follow-up (LTFU)., Results: A total of 809 patients were included in the study, of which 281 were under treatment. Of the remaining 528 who had clear treatment outcomes, the number and proportion of treatment success, treatment failure, death, and LTFU were 314 (59.5%), 14 (2.7%), 32 (6.0%), and 168 (31.8%), respectively. Being older and having cavities involving the upper lungs were risk factors for treatment failure and death, while non-Guangzhou household registration and interprovincial mobility were risk factors associated with LTFU., Conclusion: Treatment failure and death were significantly associated with cavitation in the lungs, and LTFU was significantly associated with household registration and geographical mobility. Early identification of factors associated with different treatment outcomes is extremely important for policymakers, health experts, and researchers to implement appropriate strategies and measures to treat and manage the TB-infected population in China., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Li, Lai, Li, Lin, Liang, Du and Zhang.)

Background: Over 420,000 people have initiated life-saving antiretroviral therapy (ART) in Ethiopia; however, lost-to-follow-up (LTFU) rates continues to be high. A clinical decision tool is needed to identify patients at higher risk for LTFU to provide individualized risk prediction to intervention. Therefore, this study aimed to develop and validate a statistical risk prediction tool that predicts the probability of LTFU among adult clients on ART., Methods: A retrospective follow-up study was conducted among 432 clients on ART in Gondar Town, northwest, Ethiopia. Prognostic determinates included in the analysis were determined by multivariable logistic regression. The area under the receiver operating characteristic (AUROC) and calibration plot were used to assess the model discriminative ability and predictive accuracy, respectively. Individual risk prediction for LTFU was determined using both regression formula and score chart rule. Youden index value was used to determine the cut-point for risk classification. The clinical utility of the model was evaluated using decision curve analysis (DCA)., Results: The incidence of LTFU was 11.19 (95% CI 8.95-13.99) per 100-persons years of observation. Potential prognostic determinants for LTFU were rural residence, not using prophylaxis (either cotrimoxazole or Isoniazid or both), patient on appointment spacing model (ASM), poor drug adherence level, normal Body mass index (BMI), and high viral load (viral copies > 1000 copies/ml). The AUROC was 85.9% (95% CI 82.0-89.6) for the prediction model and the risk score was 81.0% (95% CI 76.7-85.3) which was a good discrimination probability. The maximum sensitivity and specificity of the probability of LTFU using the prediction model were 72.07% and 83.49%, respectively. The calibration plot of the model was good (p-value = 0.350). The DCA indicated that the model provides a higher net benefit following patients based on the risk prediction tool., Conclusion: The incidence of LTFU among clients on ART in Gondar town was high (> 3%). The risk prediction model presents an accurate and easily applicable prognostic prediction tool for clients on ART. A prospective follow-up study and external validation of the model is warranted before using the model., (© 2022. The Author(s).)

Background: Academic health centers (AHCs) face unique challenges in providing continuity to a medically and socially complex patient population. Little is known about what drives patient loss in these settings., Objective: Determine physician- and patient-based factors associated with patient loss in AHCs., Design: Retrospective cohort study, embedded qualitative analysis., Setting: Academic health center., Participants: All visits from 7/1/2014 to 6/30/2019; 89 physicians (51%) participated in a qualitative analysis., Measures: Physician-based factors (gender, years of service, hours of practice per week, trainee status, and departure during the study period) and patient-based factors (age, gender, race, limited English proficiency, public health insurance, chronic illness burden, and severe psychiatric illness burden) and their association with patient loss to follow-up, defined as a lapse in provider visit greater than 3 years., Results: We identified 402,415 visits for 41,876 distinct patients. A total of 9332 (22.3%) patients were lost to follow-up. Patient factors associated with loss to follow-up included patient age < 40 (HR 3.12 (2.94-3.33)), identification as non-white (HR 1.07 (1.10-1.13)), limited English proficiency (HR 1.18 (1.04-1.33)), and use of public insurance (HR 1.12 (1.04-1.21)). Provider factors associated with patient loss included trainee status (HR 3.74 (2.43-5.75)) and having recently departed from the practice (HR 1.98, 1.66-2.35). Structured interviews with clinical providers revealed unfavorable relationships with providers and staff (35%), inconvenience accessing primary care (23%), unreliable health insurance (18%), difficulty accessing one's primary care provider (14%), and patient/provider transitions (10%) as reasons for patient loss., Conclusions: Younger patient age, markers of social vulnerability, and physician transiency are associated with patient loss at AHCs, providing targets to improve continuity of care within these settings., (© 2021. Society of General Internal Medicine.)

In South Korea, public-private mix (PPM) was launched in 2011. This retrospective cohort study sought to determine the rate of loss to follow-up (LTFU) among drug-susceptible tuberculosis (DS-TB) patients in all nationwide PPM institutions, and the risk factors for LTFU. National notification data for DS-TB patients diagnosed between August 2011 and July 2014 in PPM institutions were analysed. Determination of LTFU included detection of instances where patients were transferred out, but when they did not attend at other TB centres in the following two months. Univariable and multivariable competing risk models were used to determine risk factors for LTFU. 73,046 patients with 78,485 records were enrolled. Nominally, 3426 (4.4%) of records were LTFU. However, after linking the multiple records in each patient, the percentage of LTFU was 12.3% (9004/73,046). Risk factors for LTFU were: being foreign-born (3.13 (95% CI 2.77-3.53)), prior LTFU (2.31 (2.06-2.59)) and greater distance between the patient's home and the TB centre (4.27 (4.03-4.53)). 'Transfer-out' was a risk factor in patients managed by treatment centres close to home (1.65 (1.49-1.83)), but protective for those attending centres further (0.77 (0.66-0.89)) or far-away (0.52 (0.46-0.59)) from home. By considering the complete picture of a patient's interactions with healthcare, we identified a much higher level of LTFU than previously documented. This has implications for how outcomes of treatment are reported and argues for a joined-up national approach for the management and surveillance of TB patients, in nations with similar healthcare systems., (© 2022. The Author(s).)

We conducted a prospective cohort study of 450 patients new to an HIV clinic in Houston, TX, to examine the roles of life stressors and initial care experiences in predicting being lost to follow-up in the first year of care. Patients completed a self-administered survey following their initial provider visit. In logistic regression models, patients who reported better experiences with the HIV provider at the first visit were less likely to be lost to follow-up at 6 months (aOR = 0.866, p = 0.038) and 12 months (aOR = 0.825, p = 0.008). Patients with a higher burden of stressful life events were more likely to be lost to follow-up at 6 months (aOR = 1.232, p = 0.037) and 12 months (aOR = 1.263, p = 0.029). Assessments of patient experience and life stressors at the initial visit have potential to predict patients at risk of dropping out of care., (© 2021. This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply.)

Objective: The objective was to assess the loss to follow-up (LTFU) rates and associated factors amongst patients in HIV care in Burundi., Methods: We conducted a retrospective cohort study in HIV-positive patients aged ≥15 years who started antiretroviral therapy (ART) between January 2015 and July 2020, with 31 December 2020 as the end point. The outcome of LTFU was defined as failure of a patient to report for drug refill within 90 days from the last appointment. Study data were extracted from the national AIDS Info database. The LTFU proportion was determined using the Kaplan-Meier method with the log-rank test, whereas LTFU risk factors were explored using the Cox regression model., Results: A total of 29,829 patients on ART were included in the analysis. Cumulative incidence of LTFU was 2.3% at 12 months, 6.5% at 24 months, 12.7% at 36 months, 19.0% at 48 months, 24.1% at 60 months and 25.3% at 72 months. The overall LTFU incidence rate was 11.2 per 100 person-years of observation. The risk of LTFU was higher amongst patients who started ART after 2016 (adjusted hazard ratio [aHR] 1.75, 95% confidence interval [CI] 1.65-1.85) or within 7 days after diagnosis (aHR 1.27, 95% CI 1.21-1.35)., Conclusion: Our findings demonstrate the relatively high incidence of LTFU in the Burundi HIV programme. Interventions targeting patients with risk factors for LTFU are particularly necessary., (© 2022 John Wiley & Sons Ltd.)

Background: Optimizing services to facilitate engagement and retention in care of people living with HIV (PLWH) on antiretroviral therapies (ARTs) is critical to decrease HIV-related morbidity and mortality and HIV transmission. We systematically reviewed the literature for the effectiveness of implementation strategies to reestablish and subsequently retain clinical contact, improve viral load suppression, and reduce mortality among patients who had been lost to follow-up (LTFU) from HIV services., Methods and Findings: We searched 7 databases (PubMed, Cochrane, ERIC, PsycINFO, EMBASE, Web of Science, and the WHO regional databases) and 3 conference abstract archives (CROI, IAC, and IAS) to find randomized trials and observational studies published through 13 April 2020. Eligible studies included those involving children and adults who were diagnosed with HIV, had initiated ART, and were subsequently lost to care and that reported at least one review outcome (return to care, retention, viral suppression, or mortality). Data were extracted by 2 reviewers, with discrepancies resolved by a third. We characterized reengagement strategies according to how, where, and by whom tracing was conducted. We explored effects, first, among all categorized as LTFU from the HIV program (reengagement program effect) and second among those found to be alive and out of care (reengagement contact outcome). We used random-effect models for meta-analysis and conducted subgroup analyses to explore heterogeneity. Searches yielded 4,244 titles, resulting in 37 included studies (6 randomized trials and 31 observational studies). In low- and middle-income countries (LMICs) (N = 16), tracing most frequently involved identification of LTFU from the electronic medical record (EMR) and paper records followed by a combination of telephone calls and field tracing (including home visits), by a team of outreach workers within 3 months of becoming LTFU (N = 7), with few incorporating additional strategies to support reengagement beyond contact (N = 2). In high-income countries (HICs) (N = 21 studies), LTFU were similarly identified through EMR systems, at times matched with other public health records (N = 4), followed by telephone calls and letters sent by mail or email and conducted by outreach specialist teams. Home visits were less common (N = 7) than in LMICs, and additional reengagement support was similarly infrequent (N = 5). Overall, reengagement programs were able to return 39% (95% CI: 31% to 47%) of all patients who were characterized as LTFU (n = 29). Reengagement contact resulted in 58% (95% CI: 51% to 65%) return among those found to be alive and out of care (N = 17). In 9 studies that had a control condition, the return was higher among those in the reengagement intervention group than the standard of care group (RR: 1.20 (95% CI: 1.08 to 1.32, P < 0.001). There were insufficient data to generate pooled estimates of retention, viral suppression, or mortality after the return., Conclusions: While the types of interventions are markedly heterogeneity, reengagement interventions increase return to care. HIV programs should consider investing in systems to better characterize LTFU to identify those who are alive and out of care, and further research on the optimum time to initiate reengagement efforts after missed visits and how to best support sustained reengagement could improve efficiency and effectiveness., Competing Interests: I have read the journal’s policy and the authors of this manuscript have the following competing interests: EHG is an Academic Editor on PLOS Medicine’s editorial board. All other authors have declared that no competing interests exist.

Background: The aim of pregnancy cohorts was to understand causes and development of health and disease throughout the life course. A major challenge in cohort studies is to avoid selection bias from loss to follow-up., Objective: The aim of this study was to describe what characterises drop out from the Norwegian Mother, Father and Child Cohort Study (MoBa), and provide a resource to inform the interpretation of results from analysis of cohort data., Methods: We estimated loss to follow-up in subsets of participants that responded to questionnaire waves in MoBa through an eight-year period and described characteristics of participants who responded to follow-ups. Within each wave of questionnaires, we estimated two exposure-outcome associations: the relationship between maternal smoking during pregnancy and offspring birthweight, and between educational level and pre-pregnancy body mass index (BMI). We explored the use of inverse probability weighting to correct the bias due to loss to follow-up., Results: Participants who continued to respond were older, higher educated, less likely to smoke and had lower BMI. We observed a decline in participation of current smokers from 22.3% to 17.5%, and participants who reported an unplanned pregnancy dropped from 19.2% to 16.4%. There was a gradual decline in the inverse relationship between maternal smoking during pregnancy and offspring birthweight with increasing follow-up information, indicating that selection bias due to drop out resulted in lower effect estimates. For the relationship between parental educational level and BMI, the inverse association increased with amount of follow-up information, indicating that the selection bias resulted in higher effect estimates. Inverse probability weighting did not completely correct the estimates for bias due to loss to follow-up., Conclusions: Participants who remain cohort members are different from subjects who drop out. Users of large cohorts should be aware of selective loss to follow-up and consider imputation or weighting to account for loss to follow-up when analysing questionnaire responses., (© 2021 The Authors. Paediatric and Perinatal Epidemiology published by John Wiley & Sons Ltd.)

Background: Brief Contact Interventions (BCIs) after a suicide attempt (SA) are an important element of prevention against SA and suicide. VigilanS generalizes to a whole French region a BCI combining resource cards, telephone calls and sending postcards, according to a predefined algorithm. However, a major obstacle to such real-life intervention is the loss of contact during follow-up. Here, we analyze the occurrence of loss of follow-up (LFU) and compare characteristics of patients LFU with follow-up completers., Methods: The study concerned patients included in VigilanS over the period from 1st January 2015 to 31 December 2018, with an end of follow-up on 1st July 2019. We performed a series of descriptive analysis and logistic regressions. The outcome was the loss to follow-up, relative to the 6th month call marking the end of the follow-up; the predictive variables were the characteristics of the patient at entry and during follow-up. Age and sex were considered as adjustment variables., Results: 11879 inclusions occurred during the study period, corresponding to 10666 different patients. The mean age was 40.6 ± 15 years. More than a third were non-first suicide attempters (46.6%) and the most frequent means of suicide was by voluntary drug intoxication (83.2%). 8335 patients were LFU. After simple and multiple regression, a significant relationship with loss to follow-up was identified among non-first suicide attempters, alcohol consumers, patients having no companion on arrival at the emergency room, patients who didn't make or receive any calls. An increased stay in hospital after a SA was a protective factor against loss of follow-up., Conclusion: A majority of patients were lost to follow-up by the expected surveillance time of 6 months. Characteristics of lost patients will help focusing efforts to improve retention in the VigilanS program and might give insights for BCI implemented elsewhere., Competing Interests: The authors have declared that no competing interests exist.

Antiretroviral therapy lowers viral load only when people living with HIV maintain their treatment retention. Lost to follow-up is the persistent major challenge to the success of ART program in low-resource settings including Ethiopia. The purpose of this study is to estimate time to lost to follow-up and its predictors in antiretroviral therapies amongst adult patients. Among registered HIV patients, 542 samples were included. Data cleaning and analysis were done using Stata/SE version 14 software. In multivariable Cox regression, a p-value < 0.05 at 95% confidence interval with corresponding adjusted hazards ratio (AHR) were statistically significant predictors. In this study, the median time to lost to follow-up is 77 months. The incidence density of lost to follow-up was 13.45 (95% CI: 11.78, 15.34) per 100 person-years. Antiretroviral therapy drug adherence [AHR: 3.04 (95% CI: 2.18, 4.24)], last functional status [AHR: 2.74 (95% CI: 2.04, 3.67)], and INH prophylaxis [AHR: 1.65 (95% CI: 1.07, 2.56) were significant predictors for time to lost to follow-up. The median time to lost was 77 months and incidence of lost to follow-up was high. Health care providers should be focused on HIV counseling and proper case management focused on identified risks., (© 2022. The Author(s).)

Objective: To evaluate the effect of a new care organization on multiple outcomes of transition success and its cost-effectiveness in patients with any endocrine or metabolic disease diagnosed during childhood and transferred to adult care., Design: Non-randomized controlled trial in a French university hospital., Methods: Patients transferred to adult care during the control period (04/2014-08/2016) and the intervention period (09/2016-06/2018) were included. The intervention is based on case management involving liaising with pediatric services, personalizing care pathways, and liaising with structures outside hospital (general practitioner, educational and social sector). The primary endpoint was the percentage of patients lost to follow-up at 24 months post transfer. Other outcomes were collected from medical files, consultation software, and questionnaires. A cost analysis was performed., Results: Two hundred two patients were included (101 per period), the most represented pathologies were congenital and non-congenital hypopituitarism (respectively n = 34 (17%) and n = 45 (22%)) and thyroid diseases (n = 21, 10%). Patients were aged 22.5 in median at 24 months post transfer where 12 were lost to follow-up in the control group vs 9 with the intervention (P = 0.49). The percentage of honored consultation among those planned during 24 months was higher with intervention (P = 0.0065). Patient satisfaction, physician trust, and transfer delay did not differ between the groups. The incremental cost-effectiveness ratio was €179 per patient not lost to follow-up., Conclusions: At 24 months post transfer, the rate of lost to follow-up did not differ significantly, but indicators of a steadier follow-up were increased and the intervention appeared to be cost-effective.

The primary aim of this study was to identify factors associated with nonresponse to routinely collected patient-reported outcome measures (PROMs) after hand surgery. The secondary aim was to investigate the impact of nonresponder bias on postoperative PROMs. We identified 4357 patient episodes for which the patients received pre- and 1-year postoperative questionnaires. The response rate was 55%. Univariate and regression analyses were undertaken to determine factors predicting nonresponse. We developed a predictive model for the postoperative Quick version of the Disabilities of the Arm, Shoulder, and Hand (QuickDASH) scores for nonresponders using imputation. Younger age, increasing deprivation, higher comorbidity, worse preoperative QuickDASH scores and unemployment predicted nonresponse. No significant difference in mean postoperative QuickDASH score was observed between the responders, and the scores for the responders combined with the predicted scores for the nonresponders. Preoperative function was the primary predictor of postoperative outcome. These results challenge the dogma that 'loss to follow-up' automatically invalidates the results of a study. Level of evidence: III.

OBJECTIVE: To investigate the uptake and usage of a WhatsApp-based interactive communication strategy to avert pre-diagnosis loss to follow-up (LTFU) from TB care in a high-incidence setting. METHODS: We enrolled adults (≥18 years) who underwent routine sputum TB testing in two primary healthcare clinics in Khayelitsha, Cape Town, South Africa. The intervention consisted of structured WhatsApp-based reminders (prompts) sent prior to a routine clinic appointment scheduled 2-3 days after the diagnostic visit. Pre-diagnosis LTFU was defined as failure to return for the scheduled appointment and within 10 days. RESULTS: We approached 332 adults with presumptive TB, of whom 103 (31%) were successfully enrolled; 213 (64%) did not own a WhatsApp-compatible phone. Of 103 participants, 74 (72%) actively responded to WhatsApp prompts; 69 (67%) opted to include a close contact in group communication to co-receive reminders. Pre-diagnosis LTFU was low overall ( n = 7, 6.8%) and was not associated with failure to respond to WhatsApp prompts. CONCLUSION: In this high-incidence setting, enrolment in a WhatsApp-based communication intervention among adults with presumptive TB was low, mainly due to low availability of WhatsApp-compatible phones. Among participants, we observed high message response rates and low LTFU, suggesting potential for interactive messaging services to support pre-diagnosis TB care.

Background: Antenatal care and skilled childbirth services are important interventions to improve maternal health and lower the risk of poor pregnancy outcomes and mortality. A growing body of literature has shown that geographic distance to clinics can be a disincentive towards seeking care during pregnancy. On the Thailand-Myanmar border antenatal clinics serving migrant populations have found high rates of loss to follow-up of 17.4%, but decades of civil conflict have made the underlying factors difficult to investigate. Here we perform a comprehensive study examining the geographic, demographic, and health-related factors contributing to loss to follow-up., Methods: Using patient records we conducted a spatial and epidemiological analysis looking for predictors of loss to follow-up and pregnancy outcomes between 2007 and 2015. We used multivariable negative binomial regressions to assess for associations between distance travelled to the clinic and birth outcomes (loss to follow-up, pregnancy complications, and time of first presentation for antenatal care.) RESULTS: We found distance travelled to clinic strongly predicts loss to follow-up, miscarriage, malaria infections in pregnancy, and presentation for antenatal care after the first trimester. People lost to follow-up travelled 50% farther than people who had a normal singleton childbirth (a ratio of distances (DR) 1.5; 95% confidence interval (CI): 1.4 - 1.5). People with pregnancies complicated by miscarriage travelled 20% farther than those who did not have miscarriages (DR: 1.2; CI 1.1-1.3), and those with Plasmodium falciparum malaria in pregnancy travelled 60% farther than those without P. falciparum (DR: 1.6; CI: 1.6 - 1.8). People who delayed antenatal care until the third trimester travelled 50% farther compared to people who attended in the first trimester (DR: 1.5; CI: 1.4 - 1.5)., Conclusions: This analysis provides the first evidence of the complex impact of geography on access to antenatal services and pregnancy outcomes in the rural, remote, and politically complex Thailand-Myanmar border region. These findings can be used to help guide evidence-based interventions to increase uptake of maternal healthcare both in the Thailand-Myanmar region and in other rural, remote, and politically complicated environments., (© 2021. The Author(s).)

The purpose of this mixed methods study was to solicit information from Community Health Workers (CHWs) in order to further understand reasons for Healthy Start participants becoming lost to follow-up after delivery. Four CHWs from a local Healthy Start Program completed questionnaires for participants in their caseloads who had become lost to follow-up from the program (n = 146) between Sep 2018 and Jan 2020. The questionnaire included open ended items about ease of contact before and after delivery, changes in contact information, compliance with prenatal care visits, other life challenges (such as housing, legal, transportation, and family support), family size, living arrangements, working/student status, and substance use. Participants were categorized by ease of contact throughout participation into Easy (28.8%), Easy then Difficult (11%) and Difficult (60.3%). Responses to questions were reviewed and coded to identify common themes. Groups differed on: having a change in contact information, having challenges with transportation, having lots of help, having other children between 6 and 10 years old, compliance with prenatal care, and race being non-Black. Areas where groups differed may indicate possible reasons for participants becoming lost to follow up after delivery. The descriptive results from this study can help CHWs address these issues with participants during prenatal care, when they are easier to contact, to develop contingency plans for remaining in contact after delivery., (© 2021. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

Introduction: Tracing patients lost to follow-up (LTFU) from HIV care is widely practiced, yet we have little knowledge of its causal effect on care engagement. In a prospective, Zambian cohort, we examined the effect of tracing on return to care within 2 years of LTFU., Methods: We traced a stratified, random sample of LTFU patients who had received HIV care between August 2013 and July 2015. LTFU was defined as a gap of >90 days from last scheduled appointment in the routine electronic medical record. Extracting 2 years of follow-up visit data through 2017, we identified patients who returned. Using random selection for tracing as an instrumental variable (IV), we used conditional two-stage least squares regression to estimate the local average treatment effect of tracer contact on return. We examined the observational association between tracer contact and return among patient sub-groups self-confirmed as disengaged from care., Results: Of the 24,164 LTFU patients enumerated, 4380 were randomly selected for tracing and 1158 were contacted by a tracer within a median of 14.8 months post-loss. IV analysis found that patients contacted by a tracer because they were randomized to tracing were no more likely to return than those not contacted (adjusted risk difference [aRD]: 3%, 95% CI: -2%, 8%, p = 0.23). Observational data showed that among contacted, disengaged patients, the rate of return was higher in the week following tracer contact (IR 5.74, 95% CI: 3.78-8.71) than in the 2 weeks to 1-month post-contact (IR 2.28, 95% CI: 1.40-3.72). There was a greater effect of tracing among patients lost for >6 months compared to those contacted within 3 months of loss., Conclusions: Overall, tracer contact did not causally increase LTFU patient return to HIV care, demonstrating the limited impact of tracing in this program, where contact occurred months after patients were LTFU. However, observational data suggest that tracing may speed return among some LTFU patients genuinely out-of-care. Further studies may improve tracing effectiveness by examining the mechanisms underlying the impact of tracing on return to care, the effect of tracing at different times-since-loss and using more accurate identification of patients who are truly disengaged to target tracing., (© 2021 The Authors. Journal of the International AIDS Society published by John Wiley & Sons Ltd on behalf of the International AIDS Society.)