Background There is a high prevalence of untreated postpartum depression among adolescent mothers with the greatest gap in services in low- and middle-income countries. Recent studies have demonstrated the potential of nonspecialists to provide mental health services for postpartum depression in these low-resource settings. However, there is inconsistency in short-term and long-term benefits from the interventions. Passive sensing data generated from wearable digital devices can be used to more accurately distinguish which mothers will benefit from psychological services. In addition, wearable digital sensors can be used to passively collect data to personalize care for mothers. Therefore, wearable passive sensing technology has the potential to improve outcomes from psychological treatments for postpartum depression. Objective This study will explore the use of wearable digital sensors for two objectives: First, we will pilot test using wearable sensors to generate passive sensing data that distinguish adolescent mothers with depression from those without depression. Second, we will explore how nonspecialists can integrate data from passive sensing technologies to better personalize psychological treatment. Methods This study will be conducted in rural Nepal with participatory involvement of adolescent mothers and health care stakeholders through a community advisory board. The first study objective will be addressed by comparing behavioral patterns of adolescent mothers without depression (n=20) and with depression (n=20). The behavioral patterns will be generated by wearable digital devices collecting data in 4 domains: (1) the physical activity of mothers using accelerometer data on mobile phones, (2) the geographic range and routine of mothers using GPS (Global Positioning System) data collected from mobile phones, (3) the time and routine of adolescent mothers with their infants using proximity data collected from Bluetooth beacons, and (4) the verbal stimulation and auditory environment for mothers and infants using episodic audio recordings on mobile phones. For the second objective, the same 4 domains of data will be collected and shared with nonspecialists who are delivering an evidence-based behavioral activation intervention to the depressed adolescent mothers. Over 5 weeks of the intervention, we will document how passive sensing data are used by nonspecialists to personalize the intervention. In addition, qualitative data on feasibility and acceptability of passive data collection will be collected for both objectives. Results To date, a community advisory board comprising young women and health workers engaged with adolescent mothers has been established. The study is open for recruitment, and data collection is anticipated to be completed in November 2019. Conclusions Integration of passive sensing data in public health and clinical programs for mothers at risk of perinatal mental health problems has the potential to more accurately identify who will benefit from services and increase the effectiveness by personalizing psychological interventions. International Registered Report Identifier (IRRID) DERR1-10.2196/14734

BackgroundDespite increasing efforts to expand availability of mental health services throughout the world, there continues to be limited utilization of these services by persons with mental illness and their families. Community-based detection that facilitates identification and referral of people with mental health problems has been advocated as an effective strategy to increase help-seeking and service utilization. The Community Informant Detection Tool (CIDT) was developed for the community informants to identify people with depression, psychosis, alcohol use problems, epilepsy, and child behavioral problems in community settings. The CIDT has been validated in Nepal and found to be effective in promoting treatment initiation. To facilitate replication in other settings, this paper describes the development process of CIDT and the steps to achieve comprehensibility, utility and feasibility.MethodsThe CIDT was developed in four steps. First, case vignettes and illustrations were created incorporating local idioms of distress for symptoms of each disorder with an expert panel of 25 Nepali mental health professionals. Second, the utility of a draft tool was assessed through focus group discussions (n = 19) and in-depth interviews (n = 6). Third, a practice run was conducted assessing applicability of the tool through IDI among purposively selected community informants (n = 8). Finally, surveys were administered to 105 community informants to assess feasibility.ResultsThe first through third steps led to modifications in the format and presentation of the CIDT. The pilot test found CIDT to be comprehensible and feasible for detection and referral of all conditions except child behavioral problems. Female community health volunteers were recommended as the most appropriate persons to utilize the CIDT.ConclusionCommunity-based detection using the CIDT for persons in need of mental health care is perceived to be useful and feasible by key community stakeholders who would integrate the tool into their daily activities.Electronic supplementary materialThe online version of this article (10.1186/s13031-017-0132-y) contains supplementary material, which is available to authorized users.

BackgroundThe integration of mental health services into primary care is essential to improve the coverage of mental health services in low resource settings, but the evaluation of this remains challenging. We used a programme’s Theory of Change (ToC) as a conceptual framework to determine what combination(s) of conditions at facility and community level influenced the mental health service utilisation as a result of a district mental healthcare plan (MHCP) implemented in Chitwan, Nepal. In addition, we show how qualitative comparative analysis can be used to provide an integrated analysis of data from a ToC.MethodsWe conducted a longitudinal case study of 10 health facilities where the MHCP was implemented. We collected data from all facilities at baseline (October to December 2013) and quarterly following the implementation of the intervention (March 2014 to November 2016). The data were analysed using pooled qualitative comparative analysis in fsQCA V.2.5.ResultsThe following conditions were necessary for high mental health service utilisation: presence of basic and advanced psychosocial care, evidence-based identification and treatment guidelines (WHO mhGAP), referral to tertiary services and the presence of trained female community health volunteers . Two additional combinations of conditions were also identified as sufficient for a high mental health service utilisation: high medication supply, trained facility staff and either the use of a community informant detection tool or having a larger proportion of the community attend community awareness activities.ConclusionsBoth supply-side interventions (formalised approaches to health worker detection and treatment, training of health workers, supervision) and demand-side interventions (community awareness and case finding) are important to integrate mental health in primary care. ToC can be used to provide an integrated analysis of data from a ToC, therefore helping to shed light on the black box of complex multilevel interventions.

Objective: The Community Informant Detection Tool (CIDT) is a paper-based proactive case detection strategy with evidence for improving help-seeking behavior for mental healthcare. Key implementation barriers for the paperbased CIDT include delayed reporting of cases and lack of active follow up. We used mobile phones and structured text messages to improve timeliness of case reporting, encouraging follow up, and case record keeping. 36 female community health volunteers piloted this mobile phone CIDT (mCIDT) for three months in 2017 in rural Nepal. Results: Only 8 cases were identified by health volunteers using mCIDT, and only two of these cases engaged with health services post-referral. Accuracy with the mCIDT was considerably lower than paper-based CIDT, especially among older health volunteers, those with lower education, and those having difficulties sending text messages. Qualitative findings revealed implementation challenges including cases not following through on referrals due to perceived lack of staff at health facilities, assumptions among health volunteers that all earthquake-related mental health needs had been met, and lack of financial incentives for use of mCIDT. Based on study findings, we provide 5 recommendations-in particular attitudinal and system preparedness changes-to effectively introduce new mental healthcare technology in low resource health systems.

IntroductionAlthough women’s health is prioritised in global research, few studies have identified structural barriers and strategies to promote female leadership and gender equality in the global health research workforce, especially in low-income and middle-income countries.MethodsWe conducted a mixed-methods study to evaluate gender equality in the mental health research workforce in Nepal. The scoping review assessed gender disparities in authorship of journal publications for Nepal mental health research, using databases (PsycINFO, PubMed, Web of Science, NepJol, NepMed) for 5 years. Qualitative interviews were conducted with 22 Nepali researchers to identify structural barriers limiting women’s leadership.ResultsOf 337 articles identified, 61% were by Nepali first authors. Among Nepali first authors, 38.3% were women. Nepali women had half the odds of being first authors compared with men, when referenced against non-Nepali authors (OR 0.50, 95% CI 1.30 to 3.16). When limiting publications to those based on funded research, the odds were worse for first authorship among Nepali women (OR 0.37, 95% CI 0.19 to 0.71). The qualitative analysis supported the scoping review and identified a lack of gender-friendly organisational policies, difficulties in communication and mobility, and limited opportunities for networking as barriers to women’s leadership in global health research.ConclusionEfforts are needed for greater representation of Nepali women in global mental health research, which will require transformative organisational policies to foster female leadership. Those in leadership need to recognise gender inequalities and take necessary steps to address them. Funding agencies should prioritise supporting organisations with gender equality task forces, policies and indicators.