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Importance: Test accuracy studies often use small datasets to simultaneously select an optimal cutoff score that maximizes test accuracy and generate accuracy estimates., Objective: To evaluate the degree to which using data-driven methods to simultaneously select an optimal Patient Health Questionnaire-9 (PHQ-9) cutoff score and estimate accuracy yields (1) optimal cutoff scores that differ from the population-level optimal cutoff score and (2) biased accuracy estimates., Design, Setting, and Participants: This study used cross-sectional data from an existing individual participant data meta-analysis (IPDMA) database on PHQ-9 screening accuracy to represent a hypothetical population. Studies in the IPDMA database compared participant PHQ-9 scores with a major depression classification. From the IPDMA population, 1000 studies of 100, 200, 500, and 1000 participants each were resampled., Main Outcomes and Measures: For the full IPDMA population and each simulated study, an optimal cutoff score was selected by maximizing the Youden index. Accuracy estimates for optimal cutoff scores in simulated studies were compared with accuracy in the full population., Results: The IPDMA database included 100 primary studies with 44 503 participants (4541 [10%] cases of major depression). The population-level optimal cutoff score was 8 or higher. Optimal cutoff scores in simulated studies ranged from 2 or higher to 21 or higher in samples of 100 participants and 5 or higher to 11 or higher in samples of 1000 participants. The percentage of simulated studies that identified the true optimal cutoff score of 8 or higher was 17% for samples of 100 participants and 33% for samples of 1000 participants. Compared with estimates for a cutoff score of 8 or higher in the population, sensitivity was overestimated by 6.4 (95% CI, 5.7-7.1) percentage points in samples of 100 participants, 4.9 (95% CI, 4.3-5.5) percentage points in samples of 200 participants, 2.2 (95% CI, 1.8-2.6) percentage points in samples of 500 participants, and 1.8 (95% CI, 1.5-2.1) percentage points in samples of 1000 participants. Specificity was within 1 percentage point across sample sizes., Conclusions and Relevance: This study of cross-sectional data found that optimal cutoff scores and accuracy estimates differed substantially from population values when data-driven methods were used to simultaneously identify an optimal cutoff score and estimate accuracy. Users of diagnostic accuracy evidence should evaluate studies of accuracy with caution and ensure that cutoff score recommendations are based on adequately powered research or well-conducted meta-analyses.

The diagnostic accuracy of a screening tool is often characterized by its sensitivity and specificity. An analysis of these measures must consider their intrinsic correlation. In the context of an individual participant data meta-analysis, heterogeneity is one of the main components of the analysis. When using a random-effects meta-analytic model, prediction regions provide deeper insight into the effect of heterogeneity on the variability of estimated accuracy measures across the entire studied population, not just the average. This study aimed to investigate heterogeneity via prediction regions in an individual participant data meta-analysis of the sensitivity and specificity of the Patient Health Questionnaire-9 for screening to detect major depression. From the total number of studies in the pool, four dates were selected containing roughly 25%, 50%, 75% and 100% of the total number of participants. A bivariate random-effects model was fitted to studies up to and including each of these dates to jointly estimate sensitivity and specificity. Two-dimensional prediction regions were plotted in ROC-space. Subgroup analyses were carried out on sex and age, regardless of the date of the study. The dataset comprised 17,436 participants from 58 primary studies of which 2322 (13.3%) presented cases of major depression. Point estimates of sensitivity and specificity did not differ importantly as more studies were added to the model. However, correlation of the measures increased. As expected, standard errors of the logit pooled TPR and FPR consistently decreased as more studies were used, while standard deviations of the random-effects did not decrease monotonically. Subgroup analysis by sex did not reveal important contributions for observed heterogeneity; however, the shape of the prediction regions differed. Subgroup analysis by age did not reveal meaningful contributions to the heterogeneity and the prediction regions were similar in shape. Prediction intervals and regions reveal previously unseen trends in a dataset. In the context of a meta-analysis of diagnostic test accuracy, prediction regions can display the range of accuracy measures in different populations and settings., (© 2023. The Author(s).)

The seven-item Hospital Anxiety and Depression Scale Depression subscale (HADS-D) and the total score of the 14-item HADS (HADS-T) are both used for major depression screening. Compared to the HADS-D, the HADS-T includes anxiety items and requires more time to complete. We compared the screening accuracy of the HADS-D and HADS-T for major depression detection. We conducted an individual participant data meta-analysis and fit bivariate random effects models to assess diagnostic accuracy among participants with both HADS-D and HADS-T scores. We identified optimal cutoffs, estimated sensitivity and specificity with 95% confidence intervals, and compared screening accuracy across paired cutoffs via two-stage and individual-level models. We used a 0.05 equivalence margin to assess equivalency in sensitivity and specificity. 20,700 participants (2,285 major depression cases) from 98 studies were included. Cutoffs of ≥7 for the HADS-D (sensitivity 0.79 [0.75, 0.83], specificity 0.78 [0.75, 0.80]) and ≥15 for the HADS-T (sensitivity 0.79 [0.76, 0.82], specificity 0.81 [0.78, 0.83]) minimized the distance to the top-left corner of the receiver operating characteristic curve. Across all sets of paired cutoffs evaluated, differences of sensitivity between HADS-T and HADS-D ranged from -0.05 to 0.01 (0.00 at paired optimal cutoffs), and differences of specificity were within 0.03 for all cutoffs (0.02-0.03). The pattern was similar among outpatients, although the HADS-T was slightly (not nonequivalently) more specific among inpatients. The accuracy of HADS-T was equivalent to the HADS-D for detecting major depression. In most settings, the shorter HADS-D would be preferred. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Objective: To update a previous individual participant data meta-analysis and determine the accuracy of the Patient Health Questionnaire-9 (PHQ-9), the most commonly used depression screening tool in general practice, for detecting major depression overall and by study or participant subgroups., Design: Systematic review and individual participant data meta-analysis., Data Sources: Medline, Medline In-Process, and Other Non-Indexed Citations via Ovid, PsycINFO, Web of Science searched through 9 May 2018., Review Methods: Eligible studies administered the PHQ-9 and classified current major depression status using a validated semistructured diagnostic interview (designed for clinician administration), fully structured interview (designed for lay administration), or the Mini International Neuropsychiatric Interview (MINI; a brief interview designed for lay administration). A bivariate random effects meta-analytic model was used to obtain point and interval estimates of pooled PHQ-9 sensitivity and specificity at cut-off values 5-15, separately, among studies that used semistructured diagnostic interviews (eg, Structured Clinical Interview for Diagnostic and Statistical Manual), fully structured interviews (eg, Composite International Diagnostic Interview), and the MINI. Meta-regression was used to investigate whether PHQ-9 accuracy correlated with reference standard categories and participant characteristics., Results: Data from 44 503 total participants (27 146 additional from the update) were obtained from 100 of 127 eligible studies (42 additional studies; 79% eligible studies; 86% eligible participants). Among studies with a semistructured interview reference standard, pooled PHQ-9 sensitivity and specificity (95% confidence interval) at the standard cut-off value of ≥10, which maximised combined sensitivity and specificity, were 0.85 (0.79 to 0.89) and 0.85 (0.82 to 0.87), respectively. Specificity was similar across reference standards, but sensitivity in studies with semistructured interviews was 7-24% (median 21%) higher than with fully structured reference standards and 2-14% (median 11%) higher than with the MINI across cut-off values. Across reference standards and cut-off values, specificity was 0-10% (median 3%) higher for men and 0-12 (median 5%) higher for people aged 60 or older., Conclusions: Researchers and clinicians could use results to determine outcomes, such as total number of positive screens and false positive screens, at different PHQ-9 cut-off values for different clinical settings using the knowledge translation tool at www.depressionscreening100.com/phq., Study Registration: PROSPERO CRD42014010673., Competing Interests: Competing interests: All authors have completed the ICMJE uniform disclosure form at www.icmje.org/disclosure-of-interest/ and declare: support from the Canadian Institutes of Health Research for the submitted work; no financial relationships with any organisations that might have an interest in the submitted work in the previous three years with the following exceptions: Dr Bernstein has consulted to Abbvie Canada, Amgen Canada, Bristol Myers Squibb Canada, Roche Canada, Janssen Canada, Pfizer Canada, Sandoz Canada, Takeda Canada, and Mylan Pharmaceuticals; received unrestricted educational grants from Abbvie Canada, Janssen Canada, Pfizer Canada, and Takeda Canada; as well as been on speaker's bureau of Abbvie Canada, Janssen Canada, Takeda Canada and Medtronic Canada, all outside the submitted work. Dr Chan J CN is a steering committee member and/or consultant of Astra Zeneca, Bayer, Lilly, MSD and Pfizer. She has received sponsorships and honorarium for giving lectures and providing consultancy and her affiliated institution has received research grants from these companies. Dr Chan LF declares personal fees and non-financial support from Otsuka, Lundbeck, and Johnson and Johnson; and non-financial support from Ortho-McNeil-Janssen, and Menarini, outside the submitted work. Dr Hegerl declares that within the last three years, he was an advisory board member for Lundbeck and Servier; a consultant for Bayer Pharma; a speaker for Pharma and Servier; and received personal fees from Janssen Janssen and a research grant from Medice, all outside the submitted work. Dr Inagaki declares that he has received personal fees from Meiji, Mochida, Takeda, Novartis, Yoshitomi, Pfizer, Eisai, Otsuka, MSD, Sumitomo Dainippon, Janssen, and Eli Lilly, all outside of the submitted work. Dr Pugh declares that she received salary support from Pfizer-Astella and Millennium, outside the submitted work. Dr Rancans declares that he received grants, personal fees and non-financial support from Gedeon Richter; personal fees and non-financial support from Lundbeck, Servier, and Janssen Cilag; personal fees from Zentiva, and Abbvie; outside the submitted work. Dr Schram declares that the data collection of the primary study by Janssen et al. was supported by unrestricted grants from Janssen, Novo Nordisk, and Sanofi. Dr Wagner declares that she receives personal fees from Celgene, outside the submitted work. All authors declare no other relationships or activities that could appear to have influenced the submitted work. No funder had any role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication., (© Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Objective: To evaluate, across multiple sample sizes, the degree that data-driven methods result in (1) optimal cutoffs different from population optimal cutoff and (2) bias in accuracy estimates., Study Design and Setting: A total of 1,000 samples of sample size 100, 200, 500 and 1,000 each were randomly drawn to simulate studies of different sample sizes from a database (n = 13,255) synthesized to assess Edinburgh Postnatal Depression Scale (EPDS) screening accuracy. Optimal cutoffs were selected by maximizing Youden's J (sensitivity+specificity-1). Optimal cutoffs and accuracy estimates in simulated samples were compared to population values., Results: Optimal cutoffs in simulated samples ranged from ≥ 5 to ≥ 17 for n = 100, ≥ 6 to ≥ 16 for n = 200, ≥ 6 to ≥ 14 for n = 500, and ≥ 8 to ≥ 13 for n = 1,000. Percentage of simulated samples identifying the population optimal cutoff (≥ 11) was 30% for n = 100, 35% for n = 200, 53% for n = 500, and 71% for n = 1,000. Mean overestimation of sensitivity and underestimation of specificity were 6.5 percentage point (pp) and -1.3 pp for n = 100, 4.2 pp and -1.1 pp for n = 200, 1.8 pp and -1.0 pp for n = 500, and 1.4 pp and -1.0 pp for n = 1,000., Conclusions: Small accuracy studies may identify inaccurate optimal cutoff and overstate accuracy estimates with data-driven methods., (Copyright © 2021 Elsevier Inc. All rights reserved.)

Objectives: Selectively reported results from only well-performing cutoffs in diagnostic accuracy studies may bias estimates in meta-analyses. We investigated cutoff reporting patterns for the Patient Health Questionnaire-9 (PHQ-9; standard cutoff 10) and Edinburgh Postnatal Depression Scale (EPDS; no standard cutoff, commonly used 10-13) and compared accuracy estimates based on published cutoffs versus all cutoffs., Methods: We conducted bivariate random effects meta-analyses using individual participant data to compare accuracy from published versus all cutoffs., Results: For the PHQ-9 (30 studies, N = 11,773), published results underestimated sensitivity for cutoffs below 10 (median difference: -0.06) and overestimated for cutoffs above 10 (median difference: 0.07). EPDS (19 studies, N = 3637) sensitivity estimates from published results were similar for cutoffs below 10 (median difference: 0.00) but higher for cutoffs above 13 (median difference: 0.14). Specificity estimates from published and all cutoffs were similar for both tools. The mean cutoff of all reported cutoffs in PHQ-9 studies with optimal cutoff below 10 was 8.8 compared to 11.8 for those with optimal cutoffs above 10. Mean for EPDS studies with optimal cutoffs below 10 was 9.9 compared to 11.8 for those with optimal cutoffs greater than 10., Conclusion: Selective cutoff reporting was more pronounced for the PHQ-9 than EPDS., (© 2021 The Authors. International Journal of Methods in Psychiatric Research published by John Wiley & Sons Ltd.)

Background: Universal access to essential medicines and routine diagnostics is required to combat the growing burden of cardiovascular disease (CVD) and diabetes. Evaluating health systems and various access dimensions availability, affordability, accessibility, acceptability, and quality is crucial yet rarely performed, especially in low- and middle-income countries., Objective: To evaluate health system capacity and barriers in accessing diagnostics and essential medicines for CVD and diabetes in Nepal., Methods: We conducted a WHO/HAI nationally-representative survey in 45 health-facilities (public-sector: 11; private-sector: 34) in Nepal to collect availability and price data for 21 essential medicines for treating CVD and diabetes, during MayJuly 2017. Data for 13 routine diagnostics was obtained in 12 health facilities. Medicines were considered unaffordable if the lowest paid worker spends >1 days wage to purchase a monthly supply. To evaluate accessibility, we conducted facility exit interviews among 636 CVD patients. Accessibility (e.g., private-public health facility mix, travel to hospital/pharmacy) and acceptability (i.e. Nepals adoption of WHO Essential Medicine List, and patient medication adherence) were summarized using descriptive statistics, and we conducted a systematic review of relevant literature. We did not evaluate medicine quality., Results: We found that mean availability of generic medicines is low (<50%) in both public and private sectors, and less than one-third medicines met WHOs availability target (80%). Mean (SD) availability of diagnostics was 73.1% (26.8%). Essential medicines appear locally unaffordable. On average, the lowest-paid worker would spend 1.03 (public-sector) and 1.26 (private-sector) days wages to purchase a monthly supply. For a person undergoing CVD secondary preventive-interventions in the private sector, the associated expenditure would be 7.511.2% of monthly household income. Exit-interviews suggest that a long/expensive commute to health-facilities and poor medicine affordability constrain access., Conclusions: This study highlights critical gaps in Nepals health system capacity to offer basic health services to CVD and diabetes patients, owing to low availability, poor affordability and accessibility of essential medicines and diagnostics. Research and policy initiatives are needed to ensure uninterrupted supply of affordable essential medicines and diagnostics., Competing Interests: The authors have no competing interests to declare., (Copyright: 2021 The Author(s).)

Objectives: Estimates of depression prevalence in pregnancy and postpartum are based on the Edinburgh Postnatal Depression Scale (EPDS) more than on any other method. We aimed to determine if any EPDS cutoff can accurately and consistently estimate depression prevalence in individual studies., Methods: We analyzed datasets that compared EPDS scores to Structured Clinical Interview for DSM (SCID) major depression status. Random-effects meta-analysis was used to compare prevalence with EPDS cutoffs versus the SCID., Results: Seven thousand three hundred and fifteen participants (1017 SCID major depression) from 29 primary studies were included. For EPDS cutoffs used to estimate prevalence in recent studies (≥9 to ≥14), pooled prevalence estimates ranged from 27.8% (95% CI: 22.0%-34.5%) for EPDS ≥ 9 to 9.0% (95% CI: 6.8%-11.9%) for EPDS ≥ 14; pooled SCID major depression prevalence was 9.0% (95% CI: 6.5%-12.3%). EPDS ≥14 provided pooled prevalence closest to SCID-based prevalence but differed from SCID prevalence in individual studies by a mean absolute difference of 5.1% (95% prediction interval: -13.7%, 12.3%)., Conclusion: EPDS ≥14 approximated SCID-based prevalence overall, but considerable heterogeneity in individual studies is a barrier to using it for prevalence estimation., (© 2020 The Authors. International Journal of Methods in Psychiatric Research published by John Wiley & Sons Ltd.)

Objective: The aim of this study was to explore the mortality pattern due to Gorkha earthquakes in 2015 and review the response and recovery efforts immediately following the earthquakes., Methods: Data from published reports of the Nepal Police showed over 8000 deaths. These death counts were categorized by gender, ethnicity, and age groups (interval of 5 years). The mortality rate was calculated (per 100 000 population), using the projected population as the denominator as of April 2015., Results: Children < 10 years and older adults > 55 years showed a higher rate of deaths, with similar trends for the most affected districts. Almost 8 more females' deaths were reported per 100 000 population compared with their male counterparts. There was a higher death rate from Province 3 with a notable gender difference: Nearly 20 more females' deaths were reported per 100 000 population compared with their male counterparts. There was a higher death rate in mountains (542.4 per 100 000) compared with hills (55.0 per 100 000) and the southern Terai region (0.96 per 100 000) of Nepal., Conclusions: Young and older adults, female, and residents of remote, mountainous regions of Nepal were vulnerable to the earthquakes. Future earthquake preparedness should focus on the vulnerable population by age and gender and the geographical accessibility.

Objective: Fear associated with medical vulnerability should be considered when assessing mental health among individuals with chronic medical conditions during the COVID-19 pandemic. The objective was to develop and validate the COVID-19 Fears Questionnaire for Chronic Medical Conditions., Methods: Fifteen initial items were generated based on suggestions from 121 people with the chronic autoimmune disease systemic sclerosis (SSc; scleroderma). Patients in a COVID-19 SSc cohort completed items between April 9 and 27, 2020. Exploratory factor analysis (EFA) and item analysis were used to select items for inclusion. Cronbach's alpha and Pearson correlations were used to evaluate internal consistency reliability and convergent validity. Factor structure was confirmed with confirmatory factor analysis (CFA) in follow-up data collection two weeks later., Results: 787 participants completed baseline measures; 563 of them completed the follow-up assessment. Ten of 15 initial items were included in the final questionnaire. EFA suggested that a single dimension explained the data reasonably well. There were no indications of floor or ceiling effects. Cronbach's alpha was 0.91. Correlations between the COVID-19 Fears Questionnaire and measures of anxiety (r = 0.53), depressive symptoms (r = 0.44), and perceived stress (r = 0.50) supported construct validity. CFA supported the single-factor structure (χ 2 (35) = 311.2, p < 0.001, Tucker-Lewis Index = 0.97, Comparative Fit Index = 0.96, Root Mean Square Error of Approximation = 0.12)., Conclusion: The COVID-19 Fears Questionnaire for Chronic Medical Conditions can be used to assess fear among people at risk due to pre-existing medical conditions during the COVID-19 pandemic., (Copyright © 2020 Elsevier Inc. All rights reserved.)

Objective: The Maternal Mental Health in Canada, 2018/2019, survey reported that 18% of 7,085 mothers who recently gave birth reported "feelings consistent with postpartum depression" based on scores ≥7 on a 5-item version of the Edinburgh Postpartum Depression Scale (EPDS-5). The EPDS-5 was designed as a screening questionnaire, not to classify disorders or estimate prevalence; the extent to which EPDS-5 results reflect depression prevalence is unknown. We investigated EPDS-5 ≥7 performance relative to major depression prevalence based on a validated diagnostic interview, the Structured Clinical Interview for DSM (SCID)., Methods: We searched Medline, Medline In-Process & Other Non-Indexed Citations, PsycINFO, and the Web of Science Core Collection through June 2016 for studies with data sets with item response data to calculate EPDS-5 scores and that used the SCID to ascertain depression status. We conducted an individual participant data meta-analysis to estimate pooled percentage of EPDS-5 ≥7, pooled SCID major depression prevalence, and the pooled difference in prevalence., Results: A total of 3,958 participants from 19 primary studies were included. Pooled prevalence of SCID major depression was 9.2% (95% confidence interval [CI] 6.0% to 13.7%), pooled percentage of participants with EPDS-5 ≥7 was 16.2% (95% CI 10.7% to 23.8%), and pooled difference was 8.0% (95% CI 2.9% to 13.2%). In the 19 included studies, mean and median ratios of EPDS-5 to SCID prevalence were 2.1 and 1.4 times., Conclusions: Prevalence estimated based on EPDS-5 ≥7 appears to be substantially higher than the prevalence of major depression. Validated diagnostic interviews should be used to establish prevalence.

Objectives: Validated diagnostic interviews are required to classify depression status and estimate prevalence of disorder, but screening tools are often used instead. We used individual participant data meta-analysis to compare prevalence based on standard Hospital Anxiety and Depression Scale - depression subscale (HADS-D) cutoffs of ≥8 and ≥11 versus Structured Clinical Interview for DSM (SCID) major depression and determined if an alternative HADS-D cutoff could more accurately estimate prevalence., Methods: We searched Medline, Medline In-Process & Other Non-Indexed Citations via Ovid, PsycINFO, and Web of Science (inception-July 11, 2016) for studies comparing HADS-D scores to SCID major depression status. Pooled prevalence and pooled differences in prevalence for HADS-D cutoffs versus SCID major depression were estimated., Results: 6005 participants (689 SCID major depression cases) from 41 primary studies were included. Pooled prevalence was 24.5% (95% Confidence Interval (CI): 20.5%, 29.0%) for HADS-D ≥8, 10.7% (95% CI: 8.3%, 13.8%) for HADS-D ≥11, and 11.6% (95% CI: 9.2%, 14.6%) for SCID major depression. HADS-D ≥11 was closest to SCID major depression prevalence, but the 95% prediction interval for the difference that could be expected for HADS-D ≥11 versus SCID in a new study was -21.1% to 19.5%., Conclusions: HADS-D ≥8 substantially overestimates depression prevalence. Of all possible cutoff thresholds, HADS-D ≥11 was closest to the SCID, but there was substantial heterogeneity in the difference between HADS-D ≥11 and SCID-based estimates. HADS-D should not be used as a substitute for a validated diagnostic interview., (Copyright © 2020 Elsevier Inc. All rights reserved.)

Objectives: Depression symptom questionnaires are not for diagnostic classification. Patient Health Questionnaire-9 (PHQ-9) scores ≥10 are nonetheless often used to estimate depression prevalence. We compared PHQ-9 ≥10 prevalence to Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders (SCID) major depression prevalence and assessed whether an alternative PHQ-9 cutoff could more accurately estimate prevalence., Study Design and Setting: Individual participant data meta-analysis of datasets comparing PHQ-9 scores to SCID major depression status., Results: A total of 9,242 participants (1,389 SCID major depression cases) from 44 primary studies were included. Pooled PHQ-9 ≥10 prevalence was 24.6% (95% confidence interval [CI]: 20.8%, 28.9%); pooled SCID major depression prevalence was 12.1% (95% CI: 9.6%, 15.2%); and pooled difference was 11.9% (95% CI: 9.3%, 14.6%). The mean study-level PHQ-9 ≥10 to SCID-based prevalence ratio was 2.5 times. PHQ-9 ≥14 and the PHQ-9 diagnostic algorithm provided prevalence closest to SCID major depression prevalence, but study-level prevalence differed from SCID-based prevalence by an average absolute difference of 4.8% for PHQ-9 ≥14 (95% prediction interval: -13.6%, 14.5%) and 5.6% for the PHQ-9 diagnostic algorithm (95% prediction interval: -16.4%, 15.0%)., Conclusion: PHQ-9 ≥10 substantially overestimates depression prevalence. There is too much heterogeneity to correct statistically in individual studies., (Copyright © 2020 Elsevier Inc. All rights reserved.)

Objective: Two previous individual participant data meta-analyses (IPDMAs) found that different diagnostic interviews classify different proportions of people as having major depression overall or by symptom levels. We compared the odds of major depression classification across diagnostic interviews among studies that administered the Depression subscale of the Hospital Anxiety and Depression Scale (HADS-D)., Methods: Data accrued for an IPDMA on HADS-D diagnostic accuracy were analysed. We fit binomial generalized linear mixed models to compare odds of major depression classification for the Structured Clinical Interview for DSM (SCID), Composite International Diagnostic Interview (CIDI), and Mini International Neuropsychiatric Interview (MINI), controlling for HADS-D scores and participant characteristics with and without an interaction term between interview and HADS-D scores., Results: There were 15,856 participants (1942 [12%] with major depression) from 73 studies, including 15,335 (97%) non-psychiatric medical patients, 164 (1%) partners of medical patients, and 357 (2%) healthy adults. The MINI (27 studies, 7345 participants, 1066 major depression cases) classified participants as having major depression more often than the CIDI (10 studies, 3023 participants, 269 cases) (adjusted odds ratio [aOR] = 1.70 (0.84, 3.43)) and the semi-structured SCID (36 studies, 5488 participants, 607 cases) (aOR = 1.52 (1.01, 2.30)). The odds ratio for major depression classification with the CIDI was less likely to increase as HADS-D scores increased than for the SCID (interaction aOR = 0.92 (0.88, 0.96))., Conclusion: Compared to the SCID, the MINI may diagnose more participants as having major depression, and the CIDI may be less responsive to symptom severity., (Copyright © 2019 Elsevier Inc. All rights reserved.)

Objectives: A previous individual participant data meta-analysis (IPDMA) identified differences in major depression classification rates between different diagnostic interviews, controlling for depressive symptoms on the basis of the Patient Health Questionnaire-9. We aimed to determine whether similar results would be seen in a different population, using studies that administered the Edinburgh Postnatal Depression Scale (EPDS) in pregnancy or postpartum., Methods: Data accrued for an EPDS diagnostic accuracy IPDMA were analysed. Binomial generalised linear mixed models were fit to compare depression classification odds for the Mini International Neuropsychiatric Interview (MINI), Composite International Diagnostic Interview (CIDI), and Structured Clinical Interview for DSM (SCID), controlling for EPDS scores and participant characteristics., Results: Among fully structured interviews, the MINI (15 studies, 2,532 participants, 342 major depression cases) classified depression more often than the CIDI (3 studies, 2,948 participants, 194 major depression cases; adjusted odds ratio [aOR] = 3.72, 95% confidence interval [CI] [1.21, 11.43]). Compared with the semistructured SCID (28 studies, 7,403 participants, 1,027 major depression cases), odds with the CIDI (interaction aOR = 0.88, 95% CI [0.85, 0.92]) and MINI (interaction aOR = 0.95, 95% CI [0.92, 0.99]) increased less as EPDS scores increased., Conclusion: Different interviews may not classify major depression equivalently., (© 2019 The Authors. International Journal of Methods in Psychiatric Research published by John Wiley & Sons Ltd.)

Background: Data on adolescents' physical activity and determinants are scarce in Nepal. In this study, we aim to assess the level of physical activity, its correlates and the sedentary behavior of high school students in an urban district of Nepal., Methods: This is a cross-sectional study. Participants were selected using two-stage cluster sampling technique. We used Global Physical Activity Questionnaire (GPAQ) to collect information regarding physical activity and sedentary behavior. We also collected information about socio-demographic, academic, environmental and lifestyle-related factors. Data from 945 high school students from 23 randomly selected schools were analyzed. Logistic regression was used to identify correlates of low physical activity separately for male and female students., Results: Based on GPAQ classification, one out of five respondents reported low physical activity. The prevalence of low physical activity was 8% for males and 31% for females. About 31% of the adolescents and 14% of young adults did not meet the WHO recommendations of physical activity. Forty-seven percent of the total physical activity was borne by recreational activities. Correlates of low physical activity included school type and mode of transport among females, family support and drinking among males, and playground/park around home among both., Conclusions: The prevalence estimate of low physical activity among adolescents is high, with higher odds among females. Several different factors are associated with physical activity among males and females, therefore, interventions to promote physical activity in school may need to weigh these factors prior to/during implementation.

Objectives: To explore the prevalence, perpetrator characteristics and the correlates of child abuse in Kathmandu, Nepal., Methods: For this cross-sectional study, we translated the internationally validated questionnaire developed by the International Society for Prevention of Child Abuse and Neglect, Child Abuse Screening Tool-Child Home into Nepali. We added questions on descriptive information about students and their family to the questionnaire. We recruited students from 20 schools selected randomly-2 from each of the 10 electoral constituencies of Kathmandu district. In each school, we administered the questionnaires to the students in a classroom selected randomly. To assess the correlates, we ran multilevel multivariable logistic regression models, stratified by schools., Results: Among the 962 students, 88.88% had experience of at least one form of abuse throughout their lifetime. Psychological abuse was the most prevalent form of abuse (previous year: 75.19%; lifetime: 76.15%) followed by physical abuse, exposure to violence, neglect and sexual abuse. Adults were the most common perpetrators of child abuse (37.55%). The correlates identified in this study mostly aligned with the global literature on correlates of abuse. Female students were more likely to report neglect (previous year: adjusted OR (AOR) 1.50, 95% CI 1.10 to 2.04; lifetime: AOR 1.49, 95% CI 1.10 to 2.02), but no gender difference was observed with other forms of abuse. Students living with a single parent had a greater likelihood of exposure to violence (previous year: AOR 2.55, 95% CI 1.31 to 4.94; lifetime: AOR 2.77, 95% CI 1.39 to 5.53), neglect (previous year: AOR 2.01, 95% CI 1.10 to 3.69; lifetime: AOR 2.08, 95% CI 1.14 to 3.81) and sexual abuse (previous year: AOR 3.03, 95% CI 1.45 to 6.37; lifetime: AOR 2.49, 95% CI 1.21 to 5.14)., Conclusions: Over 88% of students reported experiencing child abuse in the home in one or more forms throughout their lifetime. Delineating the reasons for the high burden and its implications are important topics for future research., Competing Interests: Competing interests: None declared., (© Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.)

Background: Nepal is facing an increasing burden of diabetes and relies almost entirely on insulin imported through India., Methods: We employed a modified version of the WHO/Health Action International standard survey to assess insulin availability and prices, along with qualitative interviews with insulin retailers (pharmacists) and wholesalers in the Kathmandu Valley, Nepal., Results: The mean availability of the two human insulins listed on the 2011 Nepal Essential Medicine List were 14.3% and 42.85% in the surveyed private- and public-sector pharmacies, respectively, compared with the WHO target of 80% availability. The median consumer price of human insulin cartridges, analogue insulin cartridges and pens was, respectively, 2.1, 4.6 and 5.3 times that of human insulin vials (US$5.54). The insulin cartridges made in India were less expensive (p<0.001) than those made elsewhere. The lowest-paid worker would need to spend between 3 and 17 days' wages to purchase a monthly insulin supply out of pocket., Conclusion: Insulin access is limited in Kathmandu owing to low availability and the highly unaffordable price. Insulin access could improve with the government exploring additional suppliers, pooling insulin tenders, auditing insulin utilization and developing independent prescribing guidelines. Furthermore, there is a need to educate physicians and develop a consensus statement on insulin initiation to curb the growing analogue use and promote rational use.

Introduction: Globally, maternal age is identified as an important predictor of institutional service utilization during delivery. This study aims to assess the correlates of institutional delivery among teenage and non-teenage mothers in Nepal by using the data from Nepal Demographic and Health Survey 2011., Methods: The study population consisted of 5391 women of reproductive age (15-49 years) who had given birth to a child within five years before the survey. Out of them, 381 (7.07%) were teenage mothers. The association between the background characteristics and institutional delivery was assessed separately for the teenage and non-teenage mothers using chi-square test and multiple logistic regression analysis., Results: After adjusting for background characteristics, teenage mothers were found more likely to deliver at a health facility [AOR: 2.25; 95% CI: 1.10 4.59] in comparison to the non-teenage mothers. Place of residence, occupation, socioeconomic status, and frequency of ANC visits were associated with institutional delivery in both the teenage and non-teenage mothers. However, educational status, parity, birth preparedness and women autonomy had statistically significant association with institutional delivery among the non-teenage mothers only. None of the background characteristics were significantly associated with institutional delivery in teenage mothers only., Conclusions: This study identified a significant difference in institutional delivery service utilization among the teenage and non-teenage mothers. While the association of most of the background characteristics with institutional delivery was uniform for both teenage and non-teenage mothers, the association with educational status, parity, birth preparedness and women autonomy was significant only for non-teenage mothers. Considering this difference in the interaction of women's background characteristics with institutional delivery between teenage and non-teenage mothers might help in identifying the pain points and devise targeted interventions to encourage institutional delivery in teenage mothers or non-teenage mothers or both.

The global sanitation divide is narrowing. However, in many countries in Asia and Africa, the gap between rural and urban sanitation coverage is rather widening. Moreover, there is an increase in the burden of non-communicable diseases (NCDs), notwithstanding to the already high burden of neglected tropical diseases (NTDs). A scientific query is building on how the global 'sanitation for all' goal will address the dual burden of NTDs and NCDs, and help further understand the link between the two. This paper aims to discuss the link between i) sanitation and NTDs, and ii) sanitation and NCDs through a scoping review of the literature.

Background: Evidence on the burden of depression, internet addiction and poor sleep quality in undergraduate students from Nepal is virtually non-existent. While the interaction between sleep quality, internet addiction and depressive symptoms is frequently assessed in studies, it is not well explored if sleep quality or internet addiction statistically mediates the association between the other two variables., Methods: We enrolled 984 students from 27 undergraduate campuses of Chitwan and Kathmandu, Nepal. We assessed sleep quality, internet addiction and depressive symptoms in these students using Pittsburgh Sleep Quality Index, Young's Internet Addiction Test and Patient Health Questionnaire-9 respectively. We included responses from 937 students in the data analysis after removing questionnaires with five percent or more fields missing. Via bootstrap approach, we assessed the mediating role of internet addiction in the association between sleep quality and depressive symptoms, and that of sleep quality in the association between internet addiction and depressive symptoms., Results: Overall, 35.4%, 35.4% and 21.2% of students scored above validated cutoff scores for poor sleep quality, internet addiction and depression respectively. Poorer sleep quality was associated with having lower age, not being alcohol user, being a Hindu, being sexually active and having failed in previous year's board examination. Higher internet addiction was associated with having lower age, being sexually inactive and having failed in previous year's board examination. Depressive symptoms were higher for students having higher age, being sexually inactive, having failed in previous year's board examination and lower years of study. Internet addiction statistically mediated 16.5% of the indirect effect of sleep quality on depressive symptoms. Sleep quality, on the other hand, statistically mediated 30.9% of the indirect effect of internet addiction on depressive symptoms., Conclusions: In the current study, a great proportion of students met criteria for poor sleep quality, internet addiction and depression. Internet addiction and sleep quality both mediated a significant proportion of the indirect effect on depressive symptoms. However, the cross-sectional nature of this study limits causal interpretation of the findings. Future longitudinal study, where the measurement of internet addiction or sleep quality precedes that of depressive symptoms, are necessary to build upon our understanding of the development of depressive symptoms in students.

Background: Mental illness is stigmatized in most of the communities and people with such illness are often subjected to defame. Stigma impairs an individual's and their caregiver's physical, social and emotional wellbeing, and health-seeking behavior. Sufficient literature on how often the caregivers of people with mental illness from low and middle-income countries are stigmatized and how they perceive people with mental illness is unavailable. In this study, we examined caregivers' attitude towards people with mental illness and perceived stigma., Methods: We conducted face-to-face interviews with 170 caregivers in an outpatient clinic of a hospital in Nepal using a structured questionnaire. We calculated median and inter-quartile range of the attitude and perceived stigma scores. To assess the correlates, Kruskal Wallis H test and Mann Whitney U test were carried out., Results: Overall median score for the domains: attitude (score range: 18-90) and perceived stigma (score range: 12-60) were 42 and 28 respectively, inter-quartile range being 8 each. Attitude score differed significantly by the sex of caregiver (p<0.05), educational status of caregiver (p<0.001), sex of patient (p<0.05) and type of mental illness (p<0.05). Perceived stigma score varied significantly by caregiver's sex (p<0.05), marital status (p<0.001), educational status (p<0.001), occupation (p<0.05), relation with the patient (p<0.005) and use of alternative treatment modalities (p<0.05)., Conclusion: Sex of participant, educational status, sex of patient and type of mental illness were the correlates of attitude towards mental illness. Similarly, sex of participant, marital status, educational status, occupation, caregiver's relation with patient and use of alternative treatment modalities were correlates of perceived stigma. Findings of this study suggest that interventions targeting these high-risk populations might be beneficial to help build a positive attitude and overcome the perceived social stigma.

Background: Being the most common cancer among women worldwide, it is vital to be well-aware of breast cancer risk factors, symptoms and curability. However, few studies have reported breast cancer literacy in students using a validated instrument., Methods: A cross-sectional study was conducted among students of grades 11 and 12 from eleven higher secondary schools, one selected randomly from each ilaka of Parbat district. Questionnaire with modified Comprehensive Breast Cancer Knowledge Test was self-administered to 516 students. Knowledge score was categorized into two categories: 'good knowledge' and 'poor knowledge' taking median score as the cut-off. Chi-square test was used to determine difference in knowledge by socio-demographic factors, including gender., Results: Only 4.8% of the students responded correctly to at least half of the items, and 1.4% did not respond correctly to any of the items on risk factors and curability. Physical exercise was identified as a protective factor of breast cancer by 62.4% of the students. Presence of noncancerous breast lumps (56.6%) and being overweight (36.4%) were recognized as the risk factors. Knowledge of lumpectomy and radiation therapy for treatment of breast cancer was reported by 42.8% of students, while only 39.0% were aware of the availability of treatment therapies other than mastectomy. Males were significantly better informed than females (χ(2) = 4.02, p = 0.045). Pain in the breast (23.3 %), change in the shape of the breast (20.0%) and discharge of pus (14.1%) were the three most commonly recognized symptoms. Nearly one in two (47.1%) students indicated that the school curriculum inadequately informed them on breast cancer., Conclusion: Our study demonstrates poor knowledge on breast cancer risk factors, symptoms and curability among higher secondary school students in Western Nepal. Still, several myths regarding breast cancer persist. Half of the students had the perception that school curriculum inadequately informed them on breast cancer. Future studies should aim at the measures necessary to address the inadequate knowledge, along with the perceived gap in school curriculum.

Background: Diabetes is accompanied by a marked reduction in patient's quality of life (QOL) and leads to higher disability-adjusted life years than most diseases. Depression further deteriorates QOL and is associated with poor treatment outcomes and lowered glycemic control in diabetes. We analysed the QOL and depression among the people living with diabetes in Nepal., Methods: We conducted a cross-sectional survey among a random sample of 157 diabetic patients visiting diabetes clinic at a major teaching hospital in Kathmandu, Nepal. We administered the Nepali version of WHO-BREF for face to face interviews to obtain data on QOL scores. The Nepali version of Patient Health Questionnaire-9was also used to record responses on depression items., Results: More than half of the respondents (54.1%) experienced depression with mean PHQ-9 score of 6.15 ± 5.01 on a scale of 0-27. On a scale of 0 to 100, highest QOL mean score was reported in social relationship domain (57.32 ± 11.83), followed by environment domain (54.71 ± 7.74), psychological health (53.25 ± 10.32) and physical health (50.74 ± 11.83). After adjusting for other covariates, urban residence decreased the physical health score by 4.74 (β = -4.74, 95% CI: -8.664,-0.821), social relationship domain score by 3.420 (β = -3.420, 95% CI: -6.433,-0.406) and the overall QOL by 2.773 (β = -2.773, 95% CI: -5.295,-0.252). Having diagnosed with diabetes since more than 10 years increased physical health by 5.184 score points (β = 5.184; 95% CI: 0.753, 9.615).Similarly, having severe depression decreased social relation domain score by 6.053 (β = -6.053, 95% CI:-11.169,-.936)., Conclusion: Having urban residence significantly decreased the physical health and social relation domain scores as well as the overall QOL scores. Similarly, having diagnosed since more than 10 years increased physical health domain score. Severe depression decreased social relationship domain score. Since depression affects QOL, we suggest early diagnosis and prompt treatment of depression in T2DM people as part of their routine primary care in Nepal.

In the last decades, prevalence of non-communicable diseases (NCDs) has escalated in Nepal. This study reviews existing evidence on the burden of non-communicable diseases in Nepal using the framework developed by Arksey and O'Malley for scoping reviews. A total of 110 articles were identified from database searches, and four from additional searches. The titles and abstracts were reviewed using predetermined screening criteria. We limited our search to existing literature in English language and included all studies regardless of year of study. Both observational and interventional studies were included. Studies conducted outside Nepal and studies not reporting prevalence of NCDs were excluded. Additionally, we searched reference lists of included publications. All previous reports of Step Wise Surveillance to NCDs (STEPS Surveys) were included in the review. Finally, a total of 60 articles were included in this review. Limited studies on population-based prevalence of mental illness, chronic respiratory diseases, cardiovascular diseases, and road traffic accidents were found. There were limitations in the studies related to generalizability due to small sample sizes, non-random sampling and lack of studies from certain region of country. Nevertheless, high prevalence of hypertension and diabetes was found. Similarly, hospital-based studies reported high burden of cardiovascular diseases among outpatient contacts. Population-based cancer registries do not exist in Nepal. However, existing studies report 8,000-10,000 cancer deaths annually in Nepal. The most common cancer site in males was the lung, followed by the oral cavity and gastric, while the first three in females were cervix uteri, breast and lung. Prevalence of psychiatric morbidity was also high. Despite alarming burden of NCDs, the country's response is weak. Nepal needs to build non-communicable disease programmes with focus on disease prevention and management as well as awareness activities in urban and rural settings at community level.