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Abstract Background Optimal blood pressure (BP) levels to reduce the long-term risk of cognitive decline remains controversial. We aimed to investigate the association between BP and anti-hypertensive treatment status with cognitive decline in older adults. Methods This study used data from the China Health and Retirement Longitudinal Study. Cognitive function was assessed at year 2011, 2013, 2015, and 2018. Global cognitive Z-score was calculated as the average score of episodic memory and mental intactness. BP were measured at the first and second wave. Pulse pressure (PP) was calculated as systolic BP (SBP) minus diastolic BP. Cumulative BP was calculated as the area under the curve using BP measurements from 2011 to 2013. Linear mixed models were used to assess the longitudinal association between BP-related measurements and cognitive decline. Results We included 11,671 participants (47.3% men and mean age 58.6 years). Individual with BP > 140/90 mm Hg or taking anti-hypertensive medication were independently associated with accelerated cognitive decline (β=-0.014, 95% CI: -0.020 to -0.007). Individuals with anti-hypertensive medication use, but with controlled SBP to less than 120 mm Hg did not have a significantly increased risk of cognitive decline compared with normotension (β=-0.003, 95% CI: -0.021 to 0.014). Individuals on anti-hypertensive treatment with PP of more than 70 mm Hg had a significantly higher risk of cognitive decline (β=-0.033, 95% CI: -0.045 to -0.020). Regardless of anti-hypertensive treatment status, both elevated baseline and cumulative SBP and PP were found to be independently associated with accelerated cognitive decline. Conclusions Cumulatively elevated SBP, PP and uncontrolled BP were associated with subsequent cognitive decline. Effectively controlling BP with anti-hypertensive treatment may be able to preserve cognitive decline in older adults.

BackgroundDementia is defined as a cognitive decline that affects functional status. Longitudinal ageing surveys often lack a clinical diagnosis of dementia though measure cognition and daily function over time. We used unsupervised machine learning and longitudinal data to identify transition to probable dementia.MethodsMultiple Factor Analysis was applied to longitudinal function and cognitive data of 15,278 baseline participants (aged 50 years and more) from the Survey of Health, Ageing, and Retirement in Europe (SHARE) (waves 1, 2 and 4-7, between 2004 and 2017). Hierarchical Clustering on Principal Components discriminated three clusters at each wave. We estimated probable or "Likely Dementia" prevalence by sex and age, and assessed whether dementia risk factors increased the risk of being assigned probable dementia status using multistate models. Next, we compared the "Likely Dementia" cluster with self-reported dementia status and replicated our findings in the English Longitudinal Study of Ageing (ELSA) cohort (waves 1-9, between 2002 and 2019, 7840 participants at baseline).ResultsOur algorithm identified a higher number of probable dementia cases compared with self-reported cases and showed good discriminative power across all waves (AUC ranged from 0.754 [0.722-0.787] to 0.830 [0.800-0.861]). "Likely Dementia" status was more prevalent in older people, displayed a 2:1 female/male ratio, and was associated with nine factors that increased risk of transition to dementia: low education, hearing loss, hypertension, drinking, smoking, depression, social isolation, physical inactivity, diabetes, and obesity. Results were replicated in ELSA cohort with good accuracy.ConclusionsMachine learning clustering can be used to study dementia determinants and outcomes in longitudinal population ageing surveys in which dementia clinical diagnosis is lacking.

Background: Optimal blood pressure (BP) levels to reduce the long-term risk of cognitive decline remains controversial. We aimed to investigate the association between BP and anti-hypertensive treatment status with cognitive decline in older adults. Methods: This study used data from the China Health and Retirement Longitudinal Study. Cognitive function was assessed at year 2011, 2013, 2015, and 2018. Global cognitive Z-score was calculated as the average score of episodic memory and mental intactness. BP were measured at the first and second wave. Pulse pressure (PP) was calculated as systolic BP (SBP) minus diastolic BP. Cumulative BP was calculated as the area under the curve using BP measurements from 2011 to 2013. Linear mixed models were used to assess the longitudinal association between BP-related measurements and cognitive decline. Results: We included 11,671 participants (47.3% men and mean age 58.6 years). Individual with BP > 140/90 mm Hg or taking anti-hypertensive medication were independently associated with accelerated cognitive decline (β=-0.014, 95% CI: -0.020 to -0.007). Individuals with anti-hypertensive medication use, but with controlled SBP to less than 120 mm Hg did not have a significantly increased risk of cognitive decline compared with normotension (β=-0.003, 95% CI: -0.021 to 0.014). Individuals on anti-hypertensive treatment with PP of more than 70 mm Hg had a significantly higher risk of cognitive decline (β=-0.033, 95% CI: -0.045 to -0.020). Regardless of anti-hypertensive treatment status, both elevated baseline and cumulative SBP and PP were found to be independently associated with accelerated cognitive decline. Conclusions: Cumulatively elevated SBP, PP and uncontrolled BP were associated with subsequent cognitive decline. Effectively controlling BP with anti-hypertensive treatment may be able to preserve cognitive decline in older adults. [ABSTRACT FROM AUTHOR]

During population-based HIV impact assessments (PHIAs), some participants who self-reported testing HIV-positive (PSRP) tested negative in one or more subsequent survey HIV tests. These unexpected discrepancies between their self-reported results and the survey results draw into question the validity of either the self-reported status or the test results. We analyzed PSRP with negative test results aged 15–59 years old using data collected from 2015 to 2021 in 13 countries, assessing prevalence, self-report status, survey HIV status, viral load, rapid tests and confirmatory tests, and answers to follow-up questions (such as years on treatment). Across these surveys, 19,026 participants were PSRP, and 256 (1.3%) of these were concluded to be HIV-negative after additional survey-based testing and review. PSRP determined to be HIV-negative trended higher in countries with a higher HIV prevalence, but their number was small enough that accepting self-reported HIV-positive status without testing would not have significantly affected the prevalence estimates for HIV or viral load suppression. Additionally, using more detailed information for Uganda, we examined 107 PSRP with any negative test results and found no significant correlation with years on treatment or age. Using these details, we examined support for the possible reasons for these discrepancies beyond misdiagnosis and false reporting. These findings suggest that those conducting surveys would benefit from a nuanced understanding of HIV testing among PSRP to conduct surveys ethically and produce high-quality results.

We assessed the risk of acquiring severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) from household and community exposure according to age, family ties, and socioeconomic and living conditions using serological data from a nationwide French population-based cohort study, the Epidémiologie et Conditions de Vie (EpiCoV) Study. A history of SARS-CoV-2 infection was defined by a positive anti-SARS-CoV-2 enzyme-linked immunosorbent assay immunoglobulin G result in November–December 2020. We applied stochastic chain binomial models fitted to the final distribution of household infections to data from 17,983 individuals aged ≥6 years from 8,165 households. Models estimated the competing risks of being infected from community and household exposure. The age group 18–24 years had the highest risk of extrahousehold infection (8.9%, 95% credible interval (CrI): 7.5, 10.4), whereas the oldest (≥75 years) and youngest (6–10 years) age groups had the lowest risk, at 2.6% (95% CrI: 1.8, 3.5) and 3.4% (95% CrI: 1.9, 5.2), respectively. Extrahousehold infection was also associated with socioeconomic conditions. Within households, the probability of person-to-person transmission increased with age, from 10.6% (95% CrI: 5.0, 17.9) among children aged 6–10 years to 43.1% (95% CrI: 32.6, 53.2) among adults aged 65–74 years. Transmission was higher between partners (29.9%, 95% CrI: 25.6, 34.3) and from mother to child (29.1%, 95% CrI: 21.4, 37.3) than between individuals related by other family ties. In 2020 in France, the main factors identified for extrahousehold SARS-CoV-2 infection were age and socioeconomic conditions. Intrahousehold infection mainly depended on age and family ties. [ABSTRACT FROM AUTHOR]

Abstract Background Dementia is defined as a cognitive decline that affects functional status. Longitudinal ageing surveys often lack a clinical diagnosis of dementia though measure cognition and daily function over time. We used unsupervised machine learning and longitudinal data to identify transition to probable dementia. Methods Multiple Factor Analysis was applied to longitudinal function and cognitive data of 15,278 baseline participants (aged 50 years and more) from the Survey of Health, Ageing, and Retirement in Europe (SHARE) (waves 1, 2 and 4–7, between 2004 and 2017). Hierarchical Clustering on Principal Components discriminated three clusters at each wave. We estimated probable or “Likely Dementia” prevalence by sex and age, and assessed whether dementia risk factors increased the risk of being assigned probable dementia status using multistate models. Next, we compared the “Likely Dementia” cluster with self-reported dementia status and replicated our findings in the English Longitudinal Study of Ageing (ELSA) cohort (waves 1–9, between 2002 and 2019, 7840 participants at baseline). Results Our algorithm identified a higher number of probable dementia cases compared with self-reported cases and showed good discriminative power across all waves (AUC ranged from 0.754 [0.722–0.787] to 0.830 [0.800–0.861]). “Likely Dementia” status was more prevalent in older people, displayed a 2:1 female/male ratio, and was associated with nine factors that increased risk of transition to dementia: low education, hearing loss, hypertension, drinking, smoking, depression, social isolation, physical inactivity, diabetes, and obesity. Results were replicated in ELSA cohort with good accuracy. Conclusions Machine learning clustering can be used to study dementia determinants and outcomes in longitudinal population ageing surveys in which dementia clinical diagnosis is lacking.

We draw on the experience of the COVID-19 pandemic in the United States to identify important gaps in the surveillance of protracted health emergencies that require rapid and reliable monitoring and active dissemination of dynamic health indicators on key sociodemographic, behavioral, and immunological dimensions. In addition, a dynamic and poorly characterized backdrop of underlying hybrid immunity has further complicated efforts to monitor transmission and disease severity.[6] The COVID-19 pandemic response has focused primarily on increasing uptake of vaccines and antiviral treatments, largely in an untargeted way. Keywords: COVID-19; Surveillance; Bias; Population-based surveys; Infectious disease; Disease burden EN COVID-19 Surveillance Bias Population-based surveys Infectious disease Disease burden S47 S55 9 09/29/23 20230902 NES 230902 Introduction I Good surveillance does not necessarily ensure the making of the right decisions, but it reduces the chances of [making the] wrong ones. i - Alex Langmuir, 1963 Emerging or reemerging infections, as well as other pathogens of public health significance, require robust surveillance systems. Apart from sentinel surveillance or special studies,[48] there is a lack of timely, routinely collected information that incorporates medical vulnerability to severe COVID-19, history of previous SARS-CoV-2 infection, and vaccination. [Extracted from the article]

Abstract Background Population-based surveys are the main data source to generate health-related indicators required to monitor progress toward national, regional and global goals effectively. Although the Eastern Mediterranean Region of World Health Organization (WHO) member states conduct many population-based surveys, they are not led regularly and fail to provide relevant indicators appropriately. Therefore, this study aims two-fold: to map out population-based surveys to be conducted data for the health-related indicators in the Region and propose a timetable for conducting national population-based surveys in the Region. Methods The study was conducted in six phases: 1) Selecting survey-based indicators; 2) Extracting and comparing relevant survey modules; 3) Identifying sources of data for the indicators; 4) Assessing countries' status in reporting on core health indicators; 5) Review and confirmation of the results by the experts. Results Population-based surveys are the sources of data for 44 (65%) out of 68 regional core health indicators and two (18%) out of 11 health-related Sustainable Development Goals (SDG) 3 indicators. The Health Examination Survey (HES) could cover 65% of the survey-based indicators. A total of 91% of survey-based indicators are obtained by a combination of HES, Demographic and Health Survey (DHS), Multiple Indicator Cluster Survey (MICS) and Global School-based Student Health Survey (GSHS). Conclusion In order to effectively report health-related indicators, HES, DHS/MICS and GSHS are considered essential in national survey timetables. Each country needs to devise and implement a plan for population-based surveys by considering factors such as national health priorities, financial and human capacities, and previous experiences.

Background: Population-based surveys are the main data source to generate health-related indicators required to monitor progress toward national, regional and global goals effectively. Although the Eastern Mediterranean Region of World Health Organization (WHO) member states conduct many population-based surveys, they are not led regularly and fail to provide relevant indicators appropriately. Therefore, this study aims two-fold: to map out population-based surveys to be conducted data for the health-related indicators in the Region and propose a timetable for conducting national population-based surveys in the Region. Methods: The study was conducted in six phases: 1) Selecting survey-based indicators; 2) Extracting and comparing relevant survey modules; 3) Identifying sources of data for the indicators; 4) Assessing countries' status in reporting on core health indicators; 5) Review and confirmation of the results by the experts. Results: Population-based surveys are the sources of data for 44 (65%) out of 68 regional core health indicators and two (18%) out of 11 health-related Sustainable Development Goals (SDG) 3 indicators. The Health Examination Survey (HES) could cover 65% of the survey-based indicators. A total of 91% of survey-based indicators are obtained by a combination of HES, Demographic and Health Survey (DHS), Multiple Indicator Cluster Survey (MICS) and Global School-based Student Health Survey (GSHS). Conclusion: In order to effectively report health-related indicators, HES, DHS/MICS and GSHS are considered essential in national survey timetables. Each country needs to devise and implement a plan for population-based surveys by considering factors such as national health priorities, financial and human capacities, and previous experiences. [ABSTRACT FROM AUTHOR]

In a population-based survey of adults in New York City, we assessed positive severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) tests (including via exclusive at-home testing) and possible cases among untested respondents. An estimated 27.4% (95% confidence interval [CI]: 22.8%–32.0%) or 1.8 million adults (95% CI: 1.6–2.1 million) had SARS-CoV-2 infection between 1 January and 16 March 2022. [ABSTRACT FROM AUTHOR]

Objectives: The 2018–2019 Rwanda Population–based HIV Impact Assessment (RPHIA) was conducted to measure national HIV incidence and prevalence. District-level estimates were modeled to inform resources allocation. Methods: RPHIA was a nationally representative cross-sectional household survey. Consenting adults were interviewed and tested for HIV using the national diagnostic algorithm followed by laboratory-based confirmation of HIV status and testing for viral load (VL), limiting antigen (LAg) avidity, and presence of antiretrovirals. Incidence was calculated using normalized optical density ≤ 1·5, VL ≥ 1,000 copies/mL, and undetectable antiretrovirals. Survey and programmatic data were used to model district-level HIV incidence and prevalence. Results: Of 31,028 eligible adults, 98·7% participated in RPHIA and 934 tested HIV positive. HIV prevalence among adults in Rwanda was 3·0% (95% CI:2·7–3·3). National HIV incidence was 0·08% (95% CI:0·02–0·14) and 0·11% (95% CI:0·00–0·26) in the City of Kigali (CoK). Based on district-level modeling, HIV incidence was greatest in the 3 CoK districts (0·11% to 0·15%) and varied across other districts (0·03% to 0·10%). Conclusions: HIV prevalence among adults in Rwanda is 3.0%; HIV incidence is low at 0.08%. District-level modeling has identified disproportionately affected urban hotspots: areas to focus resources.

During population-based HIV impact assessments (PHIAs), some participants who self-reported testing HIV-positive (PSRP) tested negative in one or more subsequent survey HIV tests. These unexpected discrepancies between their self-reported results and the survey results draw into question the validity of either the self-reported status or the test results. We analyzed PSRP with negative test results aged 15-59 years old using data collected from 2015 to 2021 in 13 countries, assessing prevalence, self-report status, survey HIV status, viral load, rapid tests and confirmatory tests, and answers to follow-up questions (such as years on treatment). Across these surveys, 19,026 participants were PSRP, and 256 (1.3%) of these were concluded to be HIV-negative after additional survey-based testing and review. PSRP determined to be HIV-negative trended higher in countries with a higher HIV prevalence, but their number was small enough that accepting self-reported HIV-positive status without testing would not have significantly affected the prevalence estimates for HIV or viral load suppression. Additionally, using more detailed information for Uganda, we examined 107 PSRP with any negative test results and found no significant correlation with years on treatment or age. Using these details, we examined support for the possible reasons for these discrepancies beyond misdiagnosis and false reporting. These findings suggest that those conducting surveys would benefit from a nuanced understanding of HIV testing among PSRP to conduct surveys ethically and produce high-quality results.

Community mobilization is an integral process of raising awareness and increasing participation in a specific program. Communities with long-standing mistrust of health research may otherwise be reluctant to participate in surveys originating outside of their locality, particularly when asked to share personal information, provide blood samples, or undergo medical examinations. Here we discuss the community mobilization approaches undertaken by the Population-based HIV Impact Assessment (PHIA) project to optimize participation in surveys across 13 countries of sub-Saharan Africa. The PHIA Project developed a community mobilization strategy to address anticipated community concerns. In each country, a trained cadre of Community Mobilization Coordinators (CMCs) facilitated (1) ongoing communication with leadership and stakeholders at national, provincial/district and local levels; (2) door-to-door visits and group meetings; (3) promotional material dissemination through radio and television jingles and mass social/community media; and (4) the use of public address systems to enhance survey awareness and promote participation. Response rates (RR) were recorded from each survey. The PHIA surveys' mobilization efforts cultivated a receptive environment for data collection. The average household response rate for 13 PHIA surveys was 90.4% and interview RR were consistently over 80%, with women more likely to conduct an interview in all countries except Cote d'Ivoire. 89% of eligible women consented to a blood draw and 81.1% of eligible men consented. The robust and contextualized community mobilization approaches in PHIA were critical for engaging communities in large-scale public health surveys and contributed to high RR in participant interviews and blood draw. [ABSTRACT FROM AUTHOR]

Objectives: Previous studies have estimated the 30-day prevalence of alcohol use to be approximately 21% among youth in Brazil, despite the legal drinking age of 18 years. The present study aimed to determine the prevalence of underage drinking and its associated factors among adolescents in Brazil. Methods: The 3rd National Survey on Drug Use by the Brazilian Population (III Levantamento Nacional sobre o Uso de Drogas pela População Brasileira) is a nationwide, multi-stage, probability-sample household survey. Herein, youth between the ages of 12-17 years were included. Lifetime and 12-month alcohol use prevalence were estimated. Factors associated with 12-month alcohol use were evaluated through multivariate analysis considering survey weights and design. Results: Overall, 628 youth were interviewed. Estimated lifetime and 12-month alcohol use were 34.3% (standard error [SE] = 1.9) and 22.2% (SE = 1.7), respectively. Factors associated with 12-month drinking were: other/no religion vs. Christianity; living in rural vs. urban areas; self-reported diagnosis of depression vs. no self-reported depression; lifetime tobacco use vs. no history of tobacco use; and any illicit drug use vs. no history of illicit drug use. Conclusion: Considering that alcohol use is a major risk factor for early death among Brazilian youth, our findings highlight the importance of preventative measures to reduce underage drinking. [ABSTRACT FROM AUTHOR]

· HIV incidence of 0.08% among adults, indicates a successful national HIV program · Rwanda has a stable HIV Epidemic at 3% and an aging cohort of people living with HIV · District-level modeling has helped identify areas disproportionately affected The 2018–2019 Rwanda Population–based HIV Impact Assessment (RPHIA) was conducted to measure national HIV incidence and prevalence. District-level estimates were modeled to inform resources allocation. RPHIA was a nationally representative cross-sectional household survey. Consenting adults were interviewed and tested for HIV using the national diagnostic algorithm followed by laboratory-based confirmation of HIV status and testing for viral load (VL), limiting antigen (LAg) avidity, and presence of antiretrovirals. Incidence was calculated using normalized optical density ≤ 1·5, VL ≥ 1,000 copies/mL, and undetectable antiretrovirals. Survey and programmatic data were used to model district-level HIV incidence and prevalence. Of 31,028 eligible adults, 98·7% participated in RPHIA and 934 tested HIV positive. HIV prevalence among adults in Rwanda was 3·0% (95% CI:2·7–3·3). National HIV incidence was 0·08% (95% CI:0·02–0·14) and 0·11% (95% CI:0·00–0·26) in the City of Kigali (CoK). Based on district-level modeling, HIV incidence was greatest in the 3 CoK districts (0·11% to 0·15%) and varied across other districts (0·03% to 0·10%). HIV prevalence among adults in Rwanda is 3.0%; HIV incidence is low at 0.08%. District-level modeling has identified disproportionately affected urban hotspots: areas to focus resources. [ABSTRACT FROM AUTHOR]

Abstract Background Termination of pregnancy (TOP) is a common cause of maternal morbidity and mortality in low- and middle-income countries. Population-based surveys are the major data source for TOP data in LMICs but are known to have shortcomings that require improving. The EN-INDEPTH multi-country survey employed a full pregnancy history approach with roster and new questions on TOP and Menstrual Restoration. This mixed methods paper assesses the completeness of responses to questions eliciting TOP information from respondents and reports on practices, barriers, and facilitators to TOP reporting. Methods The EN-INDEPTH study was a population-based cross-sectional study. The Full Pregnancy History arm of the study surveyed 34,371 women of reproductive age between 2017 and 2018 in five Health and Demographic Surveillance System (HDSS) sites of the INDEPTH network: Bandim, Guinea-Bissau; Dabat, Ethiopia; IgangaMayuge, Uganda; Kintampo, Ghana; and Matlab, Bangladesh. Completeness and time spent in answering TOP questions were evaluated using simple tabulations and summary statistics. Exact binomial 95% confidence intervals were computed for TOP rates and ratios. Twenty-eight (28) focus group discussions were undertaken and analysed thematically. Results Completeness of responses regarding TOP was between 90.3 and 100.0% for all question types. The new questions elicited between 2.0% (1.0–3.4), 15.5% (13.9–17.3), and 11.5% (8.8–14.7) lifetime TOP cases over the roster questions from Dabat, Ethiopia; Matlab, Bangladesh; and Kintampo, Ghana, respectively. The median response time on the roster TOP questions was below 1.3 minutes in all sites. Qualitative results revealed that TOP was frequently stigmatised and perceived as immoral, inhumane, and shameful. Hence, it was kept secret rendering it difficult and uncomfortable to report. Miscarriages were perceived to be natural, being easier to report than TOP. Interviewer techniques, which were perceived to facilitate TOP disclosure, included cultural competence, knowledge of contextually appropriate terms for TOP, adaptation to interviewee’s individual circumstances, being non-judgmental, speaking a common language, and providing detailed informed consent. Conclusions Survey roster questions may under-represent true TOP rates, since the new questions elicited responses from women who had not disclosed TOP in the roster questions. Further research is recommended particularly into standardised training and approaches to improving interview context and techniques to facilitate TOP reporting in surveys.

Objectives: Previous studies have estimated the 30-day prevalence of alcohol use to be approximately 21% among youth in Brazil, despite the legal drinking age of 18 years. The present study aimed to determine the prevalence of underage drinking and its associated factors among adolescents in Brazil. Methods: The 3rd National Survey on Drug Use by the Brazilian Population (III Levantamento Nacional sobre o Uso de Drogas pela População Brasileira) is a nationwide, multi-stage, probability-sample household survey. Herein, youth between the ages of 12-17 years were included. Lifetime and 12-month alcohol use prevalence were estimated. Factors associated with 12-month alcohol use were evaluated through multivariate analysis considering survey weights and design. Results: Overall, 628 youth were interviewed. Estimated lifetime and 12-month alcohol use were 34.3% (standard error [SE] = 1.9) and 22.2% (SE = 1.7), respectively. Factors associated with 12-month drinking were: other/no religion vs. Christianity; living in rural vs. urban areas; self-reported diagnosis of depression vs. no self-reported depression; lifetime tobacco use vs. no history of tobacco use; and any illicit drug use vs. no history of illicit drug use. Conclusion: Considering that alcohol use is a major risk factor for early death among Brazilian youth, our findings highlight the importance of preventative measures to reduce underage drinking.

Background: In the population-based HIV impact assessment surveys, early infant diagnosis (EID) was provided to infants, 18 months without a prior diagnosis. For the Namibia population-based HIV impact assessment (NAMPHIA), the GeneXpert platform was assessed for the feasibility of near POC EID testing compared with the standard Roche COBAS AmpliPrep/COBAS TaqMan (CAP/CTM) platform. Quality assurance measures and turnaround time were compared to improve EID results reporting. Methods: NAMPHIA participants were screened for HIV exposure using Determine HIV-1/2 rapid test; samples reactive on Determine received EID testing on the GeneXpert instrument and Xpert HIV-1 Qual assay using whole blood. Results were confirmed at the Namibia Institute of Pathology using dried blood spots on the Roche CAP/CTM platform per national guidelines. Results: Of the 762 screened infants, 61 (8.0%) were Determinereactive and considered HIV-exposed. Of the 61 exposed infants, 2 were found to be HIV-infected whereas 59 were negative on both GeneXpert and Roche platforms, achieving 100% concordance. Average turnaround time was 3.4 days for the Xpert HIV-1 Qual assay, and average time from collection to testing was 1.0 days for GeneXpert compared with 10.7 days for Roche. No samples failed using GeneXpert whereas 1 sample failed using Roche and was repeated. Conclusion: Quality POC EID testing is feasible in a national survey through extensive training and external quality assurance measures. The use of decentralized POC EID for national testing would provide rapid diagnosis and improve TATs which may prevent loss to follow-up, ensure linkage to care, and improve clinical outcomes for infants. [ABSTRACT FROM AUTHOR]

Background: The population-based HIV impact assessment (population-based HIV impact assessments) surveys are among the first to estimate national adult HIV incidence, subnational prevalence of viral load suppression, and pediatric HIV prevalence. We summarize the survey methods implemented in Zimbabwe, Malawi, and Zambia, as well as response rates and quality metrics. Methods: Each cross-sectional, household-based survey used a 2-stage cluster design. Survey preparations included sample design, questionnaire development, tablet programming for informed consent and data collection, community mobilization, establishing a network of satellite laboratories, and fieldworker training. Interviewers collected demographic, behavioral, and clinical information using tablets. Blood was collected for home-based HIV testing and counseling (HBTC) and point-of-care CD4+ T-cell enumeration with results immediately returned. HIV-positive blood samples underwent laboratory-based confirmatory testing, HIV incidence testing, RNA polymerase chain reaction (viral load), DNA polymerase chain reaction (early infant diagnosis), and serum antiretroviral drug detection. Data were weighted for survey design, and chi square automatic interaction detection-based methods were used to adjust for nonresponse. Results: Each survey recruited a nationally representative, household-based sample of children and adults over a 6-10-month period in 2015 and 2016. Most (84%-90%) of the 12,000-14,000 eligible households in each country participated in the survey, with 77%-81% of eligible adults completing an interview and providing blood for HIV testing. Among eligible children, 59%-73% completed HIV testing. Across the 3 surveys, 97.8% of interview data were complete and had no errors. Conclusion: Conducting a national population-based HIV impact assessment with immediate return of HIV and other point-of-care test results was feasible, and data quality was high. [ABSTRACT FROM AUTHOR]

Background and Setting: Electronic data capture facilitates timely use of data. Population-based HIV impact assessments (PHIAs) were led by host governments, with funding from the President's Emergency Plan for AIDS Relief, technical assistance from the Centers for Disease Control, and implementation support from ICAP at Columbia University. We described data architectures, code-based processes, and resulting data volume and quality for 14 national PHIA surveys with concurrent timelines and varied countrylevel data governance (2015-2020). Methods: PHIA project data were collected through tablets, point-of-care and laboratory testing instruments, and inventory management systems, using open-source software, vendor solutions, and custom-built software. Data were securely uploaded to the PHIA data warehouse daily or weekly and then used to populate surveymonitoring dashboards and return timely laboratory-based test results on an ongoing basis. Automated data processing allowed timely reporting of survey results. Results: Fourteen data architectures were successfully established, and data from more than 450,000 participants in 30,000 files across 13 countries with completed PHIAs, and blood draws producing approximately 6000 aliquots each week per country, were securely collected, transmitted, and processed by 17 full-time equivalent staff. More than 25,600 viral load results were returned to clinics of participants' choice. Data cleaning was not needed for 98.5% of household and 99.2% of individual questionnaires. Conclusion: The PHIA data architecture permitted secure, simultaneous collection and transmission of high-quality interview and biomarker data across multiple countries, quick turnaround time of laboratory-based biomarker results, and rapid dissemination of survey outcomes to guide President's Emergency Plan for AIDS Relief epidemic control. [ABSTRACT FROM AUTHOR]

Background: Conducting HIV surveys in resource-limited settings is challenging because of logistics, limited availability of trained personnel, and complexity of testing. We described the procedures and systems deemed critical to ensure high-quality laboratory data in the population-based HIV impact assessments and large-scale household surveys. Methods: Laboratory professionals were engaged in every stage of the surveys, including protocol development, site assessments, procurement, training, quality assurance, monitoring, analysis, and reporting writing. A tiered network of household, satellite laboratories, and central laboratories, accompanied with trainings, optimized process for blood specimen collection, storage, transport, and realtime monitoring of specimen quality, and test results at each level proved critical in maintaining specimen integrity and high-quality testing. A plausibility review of aggregate merged data was conducted to confirm associations between key variables as a final quality check for quality of laboratory results. Results: Overall, we conducted a hands-on training for 3355 survey staff across 13 surveys, with 160-387 personnel trained per survey on biomarker processes. Extensive training and monitoring demonstrated that overall, 99% of specimens had adequate volume and 99.8% had no hemolysis, indicating high quality. We implemented quality control and proficiency testing for testing, resolved discrepancies, verified .300 Pima CD4 instruments, and monitored user errors. Aggregate data review for plausibility further confirmed the high quality of testing. Conclusions: Ongoing engagement of laboratory personnel to oversee processes at all levels of the surveys is critical for successful national surveys. High-quality population-based HIV impact assessments laboratory data ensured reliable results and demonstrated the impact of HIV programs in 13 countries. [ABSTRACT FROM AUTHOR]

Violence against women is currently one of the major problems in El Salvador. However, the country lacks existing data to address this issue. The recent coming into effect of the Ley Especial Integral para una Vida Libre de Violencia para las Mujeres (LEIV) [Comprehensive Law for a Life Free of Violence Against Women] urgently calls for the dimensions of the problem to be understood. The aim of this study is to determine the prevalence of physical, sexual, emotional, and controlling violence, which Salvadoran women aged 15 to 64 years suffer at the hands of their current partners or ex-partners, and the association of such violence with sociodemographic factors. The target population of the study is composed of Salvadoran women aged 15 to 64, from which a representative sample of 1,274 women was obtained. The results reveal that 54.4% of Salvadoran women reported having suffered some type of physical, sexual, or psychological violence during their lives. Psychological control (41.2%) was the most frequent form of violence, followed by emotional violence (39%), physical violence (22.5%), and sexual violence (13.3%). Women's number of children, marital status, and age were the main factors associated with violence. This study provides information needed to develop victim care measures and training programs for professionals. The study also provides evidence of the impact of public policies and prevention programs already in place. [ABSTRACT FROM AUTHOR]

Background: Termination of pregnancy (TOP) is a common cause of maternal morbidity and mortality in low- and middle-income countries. Population-based surveys are the major data source for TOP data in LMICs but are known to have shortcomings that require improving. The EN-INDEPTH multi-country survey employed a full pregnancy history approach with roster and new questions on TOP and Menstrual Restoration. This mixed methods paper assesses the completeness of responses to questions eliciting TOP information from respondents and reports on practices, barriers, and facilitators to TOP reporting. Methods: The EN-INDEPTH study was a population-based cross-sectional study. The Full Pregnancy History arm of the study surveyed 34,371 women of reproductive age between 2017 and 2018 in five Health and Demographic Surveillance System (HDSS) sites of the INDEPTH network: Bandim, Guinea-Bissau; Dabat, Ethiopia; IgangaMayuge, Uganda; Kintampo, Ghana; and Matlab, Bangladesh. Completeness and time spent in answering TOP questions were evaluated using simple tabulations and summary statistics. Exact binomial 95% confidence intervals were computed for TOP rates and ratios. Twenty-eight (28) focus group discussions were undertaken and analysed thematically. Results: Completeness of responses regarding TOP was between 90.3 and 100.0% for all question types. The new questions elicited between 2.0% (1.0–3.4), 15.5% (13.9–17.3), and 11.5% (8.8–14.7) lifetime TOP cases over the roster questions from Dabat, Ethiopia; Matlab, Bangladesh; and Kintampo, Ghana, respectively. The median response time on the roster TOP questions was below 1.3 minutes in all sites. Qualitative results revealed that TOP was frequently stigmatised and perceived as immoral, inhumane, and shameful. Hence, it was kept secret rendering it difficult and uncomfortable to report. Miscarriages were perceived to be natural, being easier to report than TOP. Interviewer techniques, which were perceived to facilitate TOP disclosure, included cultural competence, knowledge of contextually appropriate terms for TOP, adaptation to interviewee's individual circumstances, being non-judgmental, speaking a common language, and providing detailed informed consent. Conclusions: Survey roster questions may under-represent true TOP rates, since the new questions elicited responses from women who had not disclosed TOP in the roster questions. Further research is recommended particularly into standardised training and approaches to improving interview context and techniques to facilitate TOP reporting in surveys. [ABSTRACT FROM AUTHOR]

As the fastest-growing racial/ethnic group in the U.S., Asian Americans, Native Hawaiians, and Pacific Islanders (AANHPI) make up about 7% of the U.S. population. AANHPIs represent more than 50 ethnic groups and speak over 100 different languages, but national health data rarely collect information needed to disaggregate AANHPI into smaller groups to capture this diversity. This study reviewed AANHPI disaggregated data collection methods in large, U.S. population-based surveys, summarized disaggregated data reporting practices in the peer-reviewed literature, and conducted key informant interviews with 23 members of the National Network of Health Surveys who lead state/local and national surveys to identify challenges to data collection. We found that while large national surveys may include AANHPI subpopulation in data collection, sample sizes are often too small to permit meaningful data analysis. In our interviews, barriers cited included the lack of stakeholder interest, inadequate funding, lack of space on questionnaires, as well as methodologic challenges, such as the inability to obtain an adequate sample size and poor questionnaire design. Survey administration efforts to improve disaggregated health data are challenging, but when done, have led to a proliferation of new population-representative knowledge on the health of AANHPI subgroups. This study provides evidence of the population health value of disaggregating AANHPI data to identify the needs of vulnerable subpopulations. It also advances the field by offering key informants' insights in overcoming implementation challenges. [ABSTRACT FROM AUTHOR]

Background: In the United States, injection is an increasingly common route of administration for opioids and other substances. Estimates of the number of persons who inject drugs (PWID) are needed for monitoring risk-specific infectious disease rates and health services coverage.Methods: We reviewed design and instruments for 4 national household surveys, 2012-2016, for their ability to produce unbiased injection drug use (IDU) prevalence estimates. We explored potential analytic adjustments for reducing biases through use of external data on (1) arrest, (2) narcotic overdose mortality, and (3) biomarker-based sensitivity of self-reported illicit drug use.Results: Estimated national past 12 months IDU prevalence ranged from 0.24% to 0.59% across surveys. All surveys excluded unstably housed and incarcerated persons, and estimates were based on <60 respondents reporting IDU behavior in 3 surveys. No surveys asked participants about nonmedical injection of prescription drugs. Analytic adjustments did not appreciably change IDU prevalence estimates due to suboptimal specificity of data points.Conclusions: PWID population size estimates in the United States are based on small numbers and are likely biased by undercoverage of key populations and self-report. Novel methods as discussed in this article may improve our understanding of PWID population size and their health needs. [ABSTRACT FROM AUTHOR]

Objective: To examine physical activity (PA) prevalence in individuals with arthritis in comparison with those with other chronic diseases. Methods: Descriptive analyses were based on cross-sectional self-reported data for adults over age 18 from the Canadian Community Health Survey administered in 2005 (N = 132,221) for the following groups: arthritis, back problems, other physical chronic conditions (ie, diabetes, heart disease, hypertension, and cancer), and no physical chronic conditions. Results: The arthritis group did less leisure-time physical activity than the other 3 groups, they were particularly less likely to engage in vigorous physical activities, but were just as likely to walk when commuting for errands, work, or school. Older women in the arthritis group appeared to be the least active across physical activities and groups. Conclusions: Adults with chronic disease were more physically inactive during leisure than those without chronic physical conditions, and older women in the arthritis group were particularly limited in our study. A more comprehensive assessment of all types of physical activity, including work, leisure, and commuting behaviors, need to be done in populations with chronic disease, to provide a more accurate portrayal of physical activity participation. [ABSTRACT FROM AUTHOR]

The article discusses the launching of the national household vaccination coverage survey by the South African National Department of Health (SANDoH). Topics include the reports from the Expanded Programme on Immunisation of South Africa (EPI-SA), fully immunised under one year old coverage target and research projects for the vaccination coverage surveys.

A population of hematological cancer patients as recipients of many blood components and that of donors of blood components and bone marrow are related to the common event of contamination with viruses of blood-borne infections, which occurs and is detectable during long-term treatment and follow-up. They share interaction traits and diverse communication mechanisms, which call for complex interrelated trials in both groups with a mandatory epidemiological evidenced-based investigation of all cases of posttransfusion hepatitis B and/or C. The identity of infection with hepatitis B and C viruses, human immunodeficiency virus, and their association should be simultaneously studied in the populations of both donors and recipients of blood components and bone marrow.

Background: In most low and middle-income countries vital events registration for births and child deaths is poor, with reporting of pregnancy outcomes highly inadequate or non-existent. Health and Demographic Surveillance System (HDSS) sites and periodic population-based household-level surveys can be used to identify pregnancies and retrospectively capture pregnancy outcomes to provide data for decision making. However, little is known about the performance of different methods in identifying pregnancy and pregnancy outcomes, yet this is critical in assessing improvements in reducing maternal and newborn mortality and stillbirths. Objective: To explore differences between a population-based household pregnancy survey and prospective health demographic surveillance system in identifying pregnancies and their outcomes in rural eastern Uganda. Methods: The study was done within the Iganga-Mayuge HDSS site, a member centre of the INDEPTH Network. Prospective data about pregnancies and their outcomes was collected in the routine biannual census rounds from 2006 to 2010 in the HDSS. In 2011 a cross-sectional survey using the pregnancy history survey (PHS) tool was conducted among women aged 15 to 49 years in the HDSS area. We compared differences between the HDSS biannual census updates and the PHS capture of pregnancies identified as well as neonatal and child deaths, stillbirths and abortions. Findings: A total of 10,540 women aged 15 to 49 years were interviewed during the PHS. The PHS captured 12.8% more pregnancies than the HDSS in the most recent year (2010–2011), though between 2006 and 2010 (earlier periods) the PHS captured only 137 (0.8%) more pregnancies overall. The PHS also consistently identified more stillbirths (18.2%), spontaneous abortions (94.5%) and induced abortions (185.8%) than the prospective HDSS update rounds. Conclusions: Surveillance sites are designed to prospectively track population-level outcomes. However, the PHS identified more pregnancy-related outcomes than the HDSS in this study. Asking about pregnancy and its outcomes may be a useful way to improve measurement of pregnancy outcomes. Further research is needed to identify the most effective methods of improving the capture of pregnancies and their outcomes within HDSS sites, household surveys and routine health information systems.

Introduction Logistical complexities of returning laboratory test results to participants have precluded most population-based HIV surveys conducted in sub-Saharan Africa from doing so. For HIV positive participants, this presents a missed opportunity for engagement into clinical care and improvement in health outcomes. The Population-based HIV Impact Assessment ( PHIA) surveys, which measure HIV incidence and the prevalence of viral load ( VL) suppression in selected African countries, are returning VL results to health facilities specified by each HIV positive participant within eight weeks of collection. We describe the performance of the specimen and data management systems used to return VL results to PHIA participants in Zimbabwe, Malawi and Zambia. Methods Consenting participants underwent home-based counseling and HIV rapid testing as per national testing guidelines; all confirmed HIV positive participants had VL measured at a central laboratory on either the Roche CAP/ CTM or Abbott m2000 platform. On a bi-weekly basis, a dedicated data management team produced logs linking the VL test result with the participants' contact information and preferred health facility; project staff sent test results confidentially via project drivers, national courier systems, or electronically through an adapted short message service ( SMS). Participants who provided cell phone numbers received SMS or phone call alerts regarding availability of VL results. Results and discussion From 29,634 households across the three countries, 78,090 total participants 0 to 64 years in Zimbabwe and Malawi and 0 to 59 years in Zambia underwent blood draw and HIV testing. Of the 8391 total HIV positive participants identified, 8313 (99%) had VL tests performed and 8245 (99%) of these were returned to the selected health facilities. Of the 5979 VL results returned in Zimbabwe and Zambia, 85% were returned within the eight-week goal with a median turnaround time of 48 days ( IQR: 33 to 61). In Malawi, where exact return dates were unavailable all 2266 returnable results reached the health facilities by 11 weeks. Conclusions The first three PHIA surveys returned the vast majority of VL results to each HIV positive participant's preferred health facility within the eight-week target. Even in the absence of national VL monitoring systems, a system to return VL results from a population-based survey is feasible, but it requires developing laboratory and data management systems and dedicated staff. These are likely important requirements to strengthen return of results systems in routine clinical care. [ABSTRACT FROM AUTHOR]

Global targets aim to increase the number of people living with HIV (PLWH) who know their status. Using data from Mozambican facility-based HIV testing and counseling (HTC) and a population-based survey, we compared characteristics of PLWH diagnosed in HTC to the general population of PLWH to identify subgroups that are missing from the health system and may be undiagnosed. Male and female PLWH aged 50+ (PPR = 0.47,p = .0001) and with higher HIV knowledge (PPR = 0.52,p = .004) were underrepresented in HTC. A higher proportion of patients diagnosed in health facilities were aged 25–39 (PPR = 1.23,p = .02). Female PLWH with lower economic (PPR = 0.70,p = .04) and educational status (PPR = 0.86,p = .02) and male PLWH aged 18–24 (PPR = 0.47,p = .03) were underrepresented in HTC. Comparing HTC data to population-based data can inform efforts to increase HIV diagnoses and to ensure that all PLWH know their status. [ABSTRACT FROM AUTHOR]

United Nation's Sustainable Development Goals and the World Health Organization's Global Monitoring Framework support a strong global commitment to reducing the high burden of cervical and breast cancers among low- and middle-income countries. Strategies include vaccination, screening, and early diagnosis. Population-based surveys, such as those conducted by the Demographic and Health Surveys (DHS) Program, can collect the information needed to guide cancer control efforts in a standardized comparable manner. We identified and evaluated the breadth of breast and cervical cancer screening information that was collected by the DHS from 1984 through 2015. Then, we determined if these surveys currently provide the specific and measurable data about both the quantity and quality of cancer screening needed to guide national efforts to reduce the overall effects of cervical and breast cancers. We searched the DHS website to identify surveys conducted between the start of the DHS Program in 1984 and November 2015 that included questions about breast and cervical cancer screening. The relevant questions were extracted from the questionnaire, translated into English, and grouped by themes. Of the 90 countries where DHS surveys have been implemented, cervical cancer screening questions were included in 22 countries (24.4%) and breast cancer screening questions in 18 countries (20.0%). The common themes identified were disease knowledge, screening knowledge, screening practice, and screening outcomes. Most countries with survey questionnaires available for review addressed at least one aspect of screening practice (88.9% of cervical and 87.5% of breast), although few countries queried knowledge and outcomes. Questions that assess varied aspects of breast and cervical cancer screening have been incorporated into relatively few DHS surveys. The themes identified could guide the design of a standard set of questions for use in future population-based surveys and enable evaluation beyond the existence of screening, which would include assessment of the quality and impact of cervical and breast cancer screening. [ABSTRACT FROM AUTHOR]

Due to changes in SARS-CoV-2 testing practices, passive case-based surveillance may be an increasingly unreliable indicator for monitoring the burden of SARS-CoV-2, especially during surges. We conducted a cross-sectional survey of a population-representative sample of 3042 U.S. adults between June 30 and July 2, 2022, during the Omicron BA.4/BA.5 surge. Respondents were asked about SARS-CoV-2 testing and outcomes, COVID-like symptoms, contact with cases, and experience with prolonged COVID-19 symptoms following prior infection. We estimated the weighted age and sex-standardized SARS-CoV-2 prevalence, during the 14-day period preceding the interview. We estimated age and gender adjusted prevalence ratios (aPR) for current SARS-CoV-2 infection using a log-binomial regression model. An estimated 17.3% (95% CI 14.9, 19.8) of respondents had SARS-CoV-2 infection during the two-week study period–equating to 44 million cases as compared to 1.8 million per the CDC during the same time period. SARS-CoV-2 prevalence was higher among those 18–24 years old (aPR 2.2, 95% CI 1.8, 2.7) and among non-Hispanic Black (aPR 1.7, 95% CI 1.4,2.2) and Hispanic adults (aPR 2.4, 95% CI 2.0, 2.9). SARS-CoV-2 prevalence was also higher among those with lower income (aPR 1.9, 95% CI 1.5, 2.3), lower education (aPR 3.7 95% CI 3.0,4.7), and those with comorbidities (aPR 1.6, 95% CI 1.4, 2.0). An estimated 21.5% (95% CI 18.2, 24.7) of respondents with a SARS-CoV-2 infection >4 weeks prior reported long COVID symptoms. The inequitable distribution of SARS-CoV-2 prevalence during the BA.4/BA.5 surge will likely drive inequities in the future burden of long COVID. • 17.3% or 44 million U.S. adults had SARS-CoV-2 during 2-week study period. • Prevalence of SARS-CoV-2 infection was higher among Hispanic and Black adults. • Prevalence of SARS-CoV-2 infection was higher among adults with comorbidities. • 21.5% of U.S. adults had long COVID following an infection in the past 4 weeks. • Substantial SARS-CoV-2 prevalence has key implications on burden of long COVID. [ABSTRACT FROM AUTHOR]

Monitoring the cascade or continuum of HIV services - ranging from outreach services to anti-retroviral treatment - has become increasingly important as the focus in prevention moves toward biomedical interventions, in particular, 'Treatment as Prevention.' The HIV continuum typically utilises clinic-based care and treatment monitoring data and helps identify gaps and inform programme improvements. This paper discusses the merits of a population-based survey-informed continuum of services. Surveys provide individual-level, population-based data by sampling persons both in and outside the continuum, which facilitate the estimation of population fractions, such as the proportion of people living with HIV in care, as well as the examination of determinants for being in or outside the continuum. Survey-informed cascades of services may especially benefit key populations at increased risk for HIV infection for who social marginalisation, criminalisation, and stigma result in barriers to access and retention in services, a low social visibility, mobility, and outreach-based services can compromise clinic-based monitoring. Adding CD4+ T-cell count and viral load measurements to such surveys may provide population-level information on viral load suppression, stage of disease, treatment needs, and population-level transmission potential. While routine clinic-based reporting will remain the mainstay of monitoring, a survey-informed service cascade can address some of its limitations and offer additional insights. [ABSTRACT FROM AUTHOR]

Background: The magnitude of participation bias due to non-participation should be considered for cancer patients invited to population-based surveys. We studied participation rates among persons with and without cancer in a large population based study, the Nord-Trøndelag Health Study (HUNT). Methods: Citizens 20 years or above living in the Nord-Trøndelag County of Norway have been invited three times to comprehensive health surveys. The invitation files with data on sex, invitation date and participation were linked to the Cancer Registry of Norway. In a first step unadjusted crude participation rates (participants/invited persons) were estimated for cancer patients (CaPts) and non-cancer persons (NonCaPers), followed by logistic regression analyses with adjustment for age and sex. To evaluate the "practical" significance of the estimated odds ratios in the cancer diagnosis group, relative risks were also estimated comparing the observed rates to the estimated rates under the counterfactual assumption of no earlier cancer diagnosis among CaPts. Results: Overall 3 % of the participants in the three HUNT studies were CaPts and 59 % of them had been diagnosed with their first life-time cancer >5 years prior to each survey. In each of the three HUNT surveys crude participation rates were similar for CaPts and NonCaPers. Adjusted for sex and age, CaPts' likelihood to participate in HUNT1 (1984-86) and HUNT2 (1995-97), but not in HUNT3 (2006-2008), was statistically significantly reduced compared to NonCaPers, equaling a relative risk of 0.98 and 0.96, respectively. The lowest odds ratio emerged for CaPts diagnosed during the last 2 years preceding a HUNT invitation. Only one-third of CaPts participating in a survey also participated in the subsequent survey compared to approximately two-thirds of NonCaPers, and 11 % of CaPts participated in all three HUNT surveys compared to 37 % of NonCaPers. Conclusion: In the three HUNT surveys no or only minor participation bias exist as to CaPts' participation rates. In longitudinal studies selection bias as to long-term cancer survivorship should be taken into account, the percentage of repeatedly participating CaPts diminishing more strongly than among NonCaPers. [ABSTRACT FROM AUTHOR]

Background: In 2010, WHO revised guidelines to recommend testing all suspected malaria cases prior to treatment. Yet, evidence to assess programmes is largely derived from limited facility settings in a limited number of countries. National surveys from 12 sub-Saharan African countries were used to examine the effect of diagnostic testing on medicines used by febrile children under five years at the population level, including stratification by malaria risk, transmission season, source of care, symptoms, and age. Methods: Data were compiled from 12 Demographic and Health Surveys in 2010-2012 that reported fever prevalence, diagnostic test and medicine use, and socio-economic covariates (n = 16,323 febrile under-fives taken to care). Mixed-effects logistic regression models quantified the influence of diagnostic testing on three outcomes (artemisinin combination therapy (ACT), any anti-malarial or any antibiotic use) after adjusting for data clustering and confounding covariates. For each outcome, interactions between diagnostic testing and the following covariates were separately tested: malaria risk, season, source of care, symptoms, and age. A multiple case study design was used to understand varying results across selected countries and sub-national groups, which drew on programme documents, published research and expert consultations. A descriptive typology of plausible explanations for quantitative results was derived from a cross-case synthesis. Results: Significant variability was found in the effect of diagnostic testing on ACT use across countries (e.g., Uganda OR: 0.84, 95% CI: 0.66-1.06; Mozambique OR: 3.54, 95% CI: 2.33-5.39). Four main themes emerged to explain results: available diagnostics and medicines; quality of care; care-seeking behaviour; and, malaria epidemiology. Conclusions: Significant country variation was found in the effect of diagnostic testing on paediatric fever treatment at the population level, and qualitative results suggest the impact of diagnostic scale-up on treatment practices may not be straightforward in routine conditions given contextual factors (e.g., access to care, treatment-seeking behaviour or supply stock-outs). Despite limitations, quantitative results could help identify countries (e.g., Mozambique) or issues (e.g., malaria risk) where facility-based research or programme attention may be warranted. The mixed-methods approach triangulates different evidence to potentially provide a standard framework to assess routine programmes across countries or over time to fill critical evidence gaps. [ABSTRACT FROM AUTHOR]

Findings on the reliability and cost-effectiveness of the use of cellular phones vis-à-vis face-to-face interviews in investigating health behaviors and conditions are presented for a national epidemiological sample from Lebanon. Using self-reported responses on identical questions, percentage agreement, κ statistics, and McNemar’s test were used to make the comparisons. Concordance was almost perfect (κ statistics, κ > .8) for measures including age, health insurance, cigarette smoking (ever and current), and diabetes; and substantial (0.6 ≤ κ ≤ 0.8) for other measures such as education, water pipe smoking, alcohol consumption, and hypertension. Moreover, cell phone interviewing saved approximately US$14 per person interviewed. Future research on their use for health research purposes in Lebanon and the region should address their use alone or in combination with landlines in obtaining nationally representative samples. [ABSTRACT FROM AUTHOR]

Background: Passive, case-based surveillance underestimates the true extent of active infections in the population due to undiagnosed and untested cases, the exclusion of probable cases diagnosed point-of-care rapid antigen tests, and the exclusive use of at-home rapid tests which are not reported as part of case-based surveillance. The extent in which COVID-19 surveillance may be underestimating the burden of infection is likely due to time-varying factors such as decreased test-seeking behaviors and increased access to and availability of at-home testing., Objective: The objective of this study is to estimate the prevalence of SARS-CoV-2 based on different definitions of a case to ascertain the extent to which cases of SARS-CoV-2 may be underestimated by case-based surveillance., Methods: A survey on COVID-19 exposure, infection, and testing was administered to calculate point prevalence of SARS-CoV-2 among a diverse sample of cohort adults from February 8, 2022, to February 22, 2022. Three-point prevalence estimates were calculated among the cohort, as follows: (1) proportion positives based on polymerase chain reaction (PCR) and rapid antigen tests; (2) proportion positives based on testing exclusively with rapid at-home tests; and (3) proportion of probable undiagnosed cases. Test positivity and prevalence differences across booster status were also examined., Results: Among a cohort of 4328, there were a total of 644 (14.9%) cases. The point prevalence estimate based on PCR or rapid antigen tests was 5.5% (95% CI 4.8%-6.2%), 3.7% (95% CI 3.1%-4.2%) based on at-home rapid tests, and 5.7% (95% CI 5.0%-6.4%) based on the case definition of a probable case. The total point prevalence across all definitions was 14.9% (95% CI 13.8%-16.0%). The percent positivity among PCR or rapid tests was 50.2%. No statistically significant differences were observed in prevalence between participants with a COVID-19 booster compared to fully vaccinated and nonboosted participants except among exclusive at-home rapid testers., Conclusions: Our findings suggest a substantial number of cases were missed by case-based surveillance systems during the Omicron B.1.1.529 surge, when at-home testing was common. Point prevalence surveys may be a rapid tool to be used to understand SARS-CoV-2 prevalence and would be especially important during case surges to measure the scope and spread of active infections in the population., (©Saba A Qasmieh, McKaylee M Robertson, Madhura S Rane, Yanhan Shen, Rebecca Zimba, Camila A Picchio, Angela M Parcesepe, Mindy Chang, Sarah G Kulkarni, Christian Grov, Denis Nash. Originally published in JMIR Public Health and Surveillance (https://publichealth.jmir.org), 27.12.2022.)

Highlights: [•] A probability survey with drivers who had drank on alcohol outlets was conducted. [•] Drivers were breathalyzed and had their saliva collected for drug screening. [•] Benzodiazepines (3.9%) and cocaine (3.8%) were the most frequently detected drugs. [•] Among drivers who were going to drive, 11% had at least one other drug detected. [•] A BAC>0.06% was associated with higher chance of a positive drug screening. [Copyright &y& Elsevier]

The relative lack of standards for collecting data on population subgroups has not only limited our understanding of health disparities, but also impaired our ability to develop policies to eliminate them. This article provides background about past challenges to collecting data by race/ethnicity, primary language, sex, and disability status. It then discusses how passage of the Affordable Care Act has provided new opportunities to improve data-collection standards for the demographic variables of interest and, as such, a better understanding of the characteristics of populations served by the U.S. Department of Health and Human Services (HHS). The new standards have been formally adopted by the Secretary of HHS for application in all HHS-sponsored population health surveys involving self-reporting. The new data-collection standards will not only promote the uniform collection and utilization of demographic data, but also help the country shape future programs and policies to advance public health and to reduce disparities. [ABSTRACT FROM AUTHOR]

Debates about serious human rights violations and international crimes committed in the past appear during times of political transition. New political elites are confronted with fundamental questions of how to seek truth, establish accountability for offenders, provide reparation to victims, promote reconciliation, deal with trauma and build trust. ‘Transitional’ or ‘post-conflict justice’ is most often managed by elites, national and international, while the views and expectations of the local populations are rarely taken into account. Population-based research can yield deep insights into strategies and mechanisms for dealing with the crimes of the past. This paper reports on the major findings of a study in Bosnia and on the factors that may contribute to trust and reconciliation in the country. [ABSTRACT FROM PUBLISHER]

UN Resolution 1612 requires that annual tends in the rate of grave violations of children's rights be reported to the Security Council for countries of interest such as the Democratic Republic of Congo. We conducted a population-based three-staged cluster survey from May to August 2010 to measure the occurrence of military recruitment, abduction, killing and maiming, and attacks against education occurring in the population in South Kivu during 2010. In addition, key informants were interviewed with a semi-structured questionnaire to examine their ability to report any of the grave violations perpetrated in their village. The findings indicated that among the 4471 members of respondent households, abduction was the most frequently reported violation and it is estimated that 5.7% of the population (95% confidence interval [CI]: 3.9–7.5, design effect [DE]: 4.06) were abducted annually. It is estimated that 44,898 children (1.5%) (95% CI: 23,679–66,118, DE: 2.90) throughout South Kivu Province (excluding the cities of Bukavu and Uvira) experienced one of the four grave violations (recruitment, abduction, killing or maiming, and attacks against education) in the first 6.5 months of 2010. The majority of all violation episodes were perpetrated by government Forces Armées de la République Démocratique du Congo soldiers. In the majority of villages where at least one household reported a member experiencing a violation, the key informants reported that no violations had occurred in their village. This survey suggests the UN's Monitoring and Reporting Mechanism was less than 1% complete in South Kivu. These results beckon population-based non-UN, nongovernmental rights monitoring systems be developed to complement the UN effort. [ABSTRACT FROM AUTHOR]

Abstract: A picture of a human figure (manikin) on which pain can be indicated can be used to measure musculoskeletal pain in self administered or web-based questionnaires. In this paper we present an analysis of the agreement between pain reported on a manikin and pain reported using written questions as assessed in the follow-up questionnaire of the Dutch population-based Musculoskeletal Conditions and Consequences Cohort (DMC3-study). Both a manikin and extensive questions on pain were included and the agreement between the two measures was studied for nine pain locations. For a similar pain definition – pain lasting at least a week – the manikin gave slightly higher prevalences than the written questions. Around three quarter of those who reported pain on the written questionnaire also indicated pain on the manikin on the same anatomical location. There were no differences in the percentage of agreement by sex, age group or level of education, except for a lower percentage of agreement of the manikin among the elderly for pain in the lower extremities, neck and shoulder and among the lower level of education group for neck pain. Almost 6% of the participants reported pain according to the questions only and more than 10% (especially men) reported pain on the manikin only. We concluded that a manikin gives similar findings on prevalence of pain as written questions and could therefore be a good alternative for written questions only. [Copyright &y& Elsevier]