Designing an App to Support Measurement-Based Peer Supervision of Frontline Health Workers Delivering Brief Psychosocial Interventions in Texas: Multimethod Study.

BACKGROUND: The unmet need for mental health care affects millions of Americans. A growing body of evidence in implementation science supports the effectiveness of task sharing in the delivery of brief psychosocial interventions. The digitization of training and processes supporting supervision can rapidly scale up task-shared interventions and enable frontline health workers (FLWs) to learn, master, and deliver interventions with quality and support. OBJECTIVE: We aimed to assess the perceived feasibility and acceptability of a novel mobile and web app designed and adapted to support the supervision, training, and quality assurance of FLWs delivering brief psychosocial interventions. METHODS: We followed human-centered design principles to adapt a prototype app for FLWs delivering brief psychosocial interventions for depression, drawing from an app previously designed for use in rural India. Using a multimethod approach, we conducted focus group sessions comprising usability testing and group interviews with FLWs recruited from a large health system in Texas to assess the feasibility and acceptability of the app. The positive System Usability Scale was used to determine the app's overall usability. We also calculated the participants' likelihood of recommending the app to others using ratings of 0 to 10 from least to most likely (net promoter score). Focus group transcripts were coded and analyzed thematically, and recommendations were summarized across 4 key domains. RESULTS: A total of 18 FLWs varying in role and experience with client care participated in the study. Participants found the app to be usable, with an average System Usability Scale score of 72.5 (SD 18.1), consistent with the industry benchmark of 68. Participants' likelihood of recommending the app ranged from 5 to 10, yielding a net promoter score of 0, indicating medium acceptability. Overall impressions of the app from participants were positive. Most participants (15/18, 83%) found the app easy to access and navigate. The app was considered important to support FLWs in delivering high-quality mental health care services. Participants felt that the app could provide more structure to FLW training and supervision processes through the systematic collection and facilitation of performance-related feedback. Key concerns included privacy-related and time constraints regarding implementing a separate peer supervision mechanism that may add to FLWs' workloads. CONCLUSIONS: We designed, built, and tested a usable, functional mobile and web app prototype that supports FLW-delivered psychosocial interventions in the United States through a structured supervision mechanism and systematic collection and review of performance measures. The app has the potential to scale the work of FLWs tasked with delivering these interventions to the hardest-to-reach communities they serve. The results of this project will inform future work to evaluate the app's use and efficacy in real-world settings to support task-shared mental health programs across the United States.

A Supervision Framework for Task-Shared Mental Health Workers: Implications for Clinical Trials and Beyond.

The rise in task-shared interventions that address the mental health treatment gap in low- and middle-income countries (LMICs) has highlighted the need for additional support and supervision of nonspecialist mental health workers (NHWs). The supervision of NHWs in most resource-limited settings is still primarily disorganized, without clear guidelines that provide the necessary structure for supervision. The need for supervision is even greater for NHWs working in the context of trauma, not only to provide training and ensure adequate delivery of care but also to provide support to minimize the psychological impact of their work. In South Africa, women face intersecting epidemics of HIV, intimate partner violence, and sexual trauma. This syndemic highlights the importance of integrating mental health treatment in HIV care, especially in settings like South Africa, where mental health services are limited. In this context, our group developed and is evaluating the effectiveness of ImpACT+, a task-shared coping intervention to improve clinical and mental health outcomes among HIV-infected women with sexual trauma in South Africa. We describe the ImpACT+ supervision model that is currently being implemented in the context of a hybrid effectiveness-implementation clinical trial. Combining experiences from clinical psychology, task-shared interventions, and trauma-informed care, the supervision model integrates formal elements of clinical supervision into categories that are suitable for use in task-shared trauma interventions in low-resource settings. To the best of our knowledge, such a trauma-informed supervision approach has not been widely documented in the literature, particularly in task-shared interventions in LMICs. In this article, we describe the ImpACT+ intervention, provide an overview of the supervision model, and provide illustrative examples of how the supervision model has been implemented.

"Now, I have my baby so I don't go anywhere": A mixed method approach to the 'everyday' and young motherhood integrating qualitative interviews and passive digital data from mobile devices.

The impacts of early pregnancy and young motherhood on everyday life, including interpersonal and individual behavior, are not well-known. Passive digital sensing on mobile technology including smartphones and passive Bluetooth beacons can yield information such as geographic movement, physical activity, and mother-infant proximity to illuminate behavioral patterns of a mother's everyday in Nepal. We contribute to mixed-methods research by triangulating passive sensing data (GPS, accelerometry, Bluetooth proximity) with multiple forms of qualitative data to characterize behavioral patterns and experiences of young motherhood in the first year postpartum. We triangulated this digital information in a constant comparative analysis with in-depth interviews, daily diaries, and fieldnotes. We reveal typical behavioral patterns of rural young mothers and highlight opportunities for integrating this information to improve health and well-being.

Implementation strategy in collaboration with people with lived experience of mental illness to reduce stigma among primary care providers in Nepal (RESHAPE): protocol for a type 3 hybrid implementation effectiveness cluster randomized controlled trial.

BACKGROUND: There are increasing efforts for the integration of mental health services into primary care settings in low- and middle-income countries. However, commonly used approaches to train primary care providers (PCPs) may not achieve the expected outcomes for improved service delivery, as evidenced by low detection rates of mental illnesses after training. One contributor to this shortcoming is the stigma among PCPs. Implementation strategies for training PCPs that reduce stigma have the potential to improve the quality of services. DESIGN: In Nepal, a type 3 hybrid implementation-effectiveness cluster randomized controlled trial will evaluate the implementation-as-usual training for PCPs compared to an alternative implementation strategy to train PCPs, entitled Reducing Stigma among Healthcare Providers (RESHAPE). In implementation-as-usual, PCPs are trained on the World Health Organization Mental Health Gap Action Program Intervention Guide (mhGAP-IG) with trainings conducted by mental health specialists. In RESHAPE, mhGAP-IG training includes the added component of facilitation by people with lived experience of mental illness (PWLE) and their caregivers using PhotoVoice, as well as aspirational figures. The duration of PCP training is the same in both arms. Co-primary outcomes of the study are stigma among PCPs, as measured with the Social Distance Scale at 6 months post-training, and reach, a domain from the RE-AIM implementation science framework. Reach is operationalized as the accuracy of detection of mental illness in primary care facilities and will be determined by psychiatrists at 3 months after PCPs diagnose the patients. Stigma will be evaluated as a mediator of reach. Cost-effectiveness and other RE-AIM outcomes will be assessed. Twenty-four municipalities, the unit of clustering, will be randomized to either mhGAP-IG implementation-as-usual or RESHAPE arms, with approximately 76 health facilities and 216 PCPs divided equally between arms. An estimated 1100 patients will be enrolled for the evaluation of accurate diagnosis of depression, generalized anxiety disorder, psychosis, or alcohol use disorder. Masking will include PCPs, patients, and psychiatrists. DISCUSSION: This study will advance the knowledge of stigma reduction for training PCPs in partnership with PWLE. This collaborative approach to training has the potential to improve diagnostic competencies. If successful, this implementation strategy could be scaled up throughout low-resource settings to reduce the global treatment gap for mental illness. TRIAL REGISTRATION: ClinicalTrials.gov, NCT04282915 . Date of registration: February 25, 2020.

Stigma against mental health disorders in Nepal conceptualised with a 'what matters most' framework: a scoping review.

AIMS: Stigma related to mental disorders is a barrier to quality mental healthcare. This scoping review aimed to synthesise literature on stigma related to mental disorders in Nepal to understand stigma processes. The anthropological concept of 'what matters most' to understand culture and stigma was used to frame the literature on explanatory models, manifestations, consequences, structural facilitators and mitigators, and interventions. METHODS: We conducted a scoping review with screening guided by the Preferred Reporting Items for Systematic Review and Meta-analysis Extension for Scoping Reviews (PRISMA-ScR). A structured search was done using three international databases (PsycINFO, Medline and Web of Science), one Nepali database (NepJol) and cross-referencing for publications from 1 January 2000 through 24 June 2020. The search was repeated to include structural stigma-related terms. Quality of quantitative studies was assessed using the Systematic Assessment of Quality in Observational Research (SAQOR) tool. The review was registered through the Open Science Framework (OSF) (osf.io/u8jhn). RESULTS: The searches yielded 57 studies over a 20-year period: 19 quantitative, 19 qualitative, nine mixed methods, five review articles, two ethnographies and three other types of studies. The review identified nine stigma measures used in Nepal, one stigma intervention, and no studies focused on adolescent and child mental health stigma. The findings suggest that 'what matters most' in Nepali culture for service users, caregivers, community members and health workers include prestige, productivity, privacy, acceptance, marriage and resources. Cultural values related to 'what matters most' are reflected in structural barriers and facilitators including lack of policies, programme planning and resources. Most studies using quantitative tools to assess stigma did not describe cultural adaptation or validation processes, and 15 out of the 18 quantitative studies were 'low-quality' on the SAQOR quality rating. The review revealed clear gaps in implementation and evaluation of stigma interventions in Nepal with only one intervention reported, and most stigma measures not culturally adapted for use. CONCLUSION: As stigma processes are complex and interlinked in their influence on 'what matters most' and structural barriers and facilitators, more studies are required to understand this complexity and establish effective interventions targeting multiple domains. We suggest that stigma researchers should clarify conceptual models to inform study design and interpretations. There is a need to develop procedures for the systematic cultural adaptation of stigma assessment tools. Research should be conducted to understand the forms and drivers of structural stigma and to expand intervention research to evaluate strategies for stigma reduction.

Evidence-based approaches for promoting gender equity in global mental health research: Study protocol for social network analysis of researchers in Nepal.

There are increasing efforts for capacity building of researchers in low- and middle-income countries (LMIC) to foster local ability to conduct high quality research. However, female researchers remain underrepresented in scientific communities, particularly in LMIC where they have limited networking and mentorship opportunities. This protocol is for a Social Network Analysis (SNA) to evaluate if gender-sensitive, need-based capacity building can improve researchers' networking and mentorship opportunities in Nepal. The conceptual framework is informed by Social Cognitive Career Theory. Cross-sectional and longitudinal SNA are used to a) assess individual researchers' network characteristics and their association with academic productivity; and b) examine if the association of network characteristics and academic productivity is mediated by self-efficacy and outcome expectations. Recruitment is designed to include early-career and senior researchers conducting mental health research, as well as students interested in pursuing a career in mental health research. The network characteristics will be mapped for approximately 150 researchers in working in Nepal. SNA characteristics in the network (individual density, homophily, and centrality) will be compared with academic productivity (total peer reviewed publications, h-index), including mediation effects via self-efficacy and outcome expectations. Ultimately, this study will generate information to design more evidence-based strategies for capacity building of a gender-equitable research workforce in global mental health.

Gender inequality in the global mental health research workforce: a research authorship scoping review and qualitative study in Nepal.

INTRODUCTION: Although 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. METHODS: We 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. RESULTS: Of 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. CONCLUSION: Efforts 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.

What Does Social Support Sound Like? Challenges and Opportunities for Using Passive Episodic Audio Collection to Assess the Social Environment.

Background: The social environment, comprised of social support, social burden, and quality of interactions, influences a range of health outcomes, including mental health. Passive audio data collection on mobile phones (e.g., episodic recording of the auditory environment without requiring any active input from the phone user) enables new opportunities to understand the social environment. We evaluated the use of passive audio collection on mobile phones as a window into the social environment while conducting a study of mental health among adolescent and young mothers in Nepal. Methods: We enrolled 23 adolescent and young mothers who first participated in qualitative interviews to describe their social support and identify sounds potentially associated with that support. Then, episodic recordings were collected for 2 weeks from the mothers using an app to record 30 s of audio every 15 min from 4 A.M. to 9 P.M. Audio data were processed and classified using a pretrained model. Each classification category was accompanied by an estimated accuracy score. Manual validation of the machine-predicted speech and non-speech categories was done for accuracy. Results: In qualitative interviews, mothers described a range of positive and negative social interactions and the sounds that accompanied these. Potential positive sounds included adult speech and laughter, infant babbling and laughter, and sounds from baby toys. Sounds characterizing negative stimuli included yelling, crying, screaming by adults and crying by infants. Sounds associated with social isolation included silence and TV or radio noises. Speech comprised 43% of all passively recorded audio clips (n = 7,725). Manual validation showed a 23% false positive rate and 62% false-negative rate for speech, demonstrating potential underestimation of speech exposure. Other common sounds were music and vehicular noises. Conclusions: Passively capturing audio has the potential to improve understanding of the social environment. However, a pre-trained model had the limited accuracy for identifying speech and lacked categories allowing distinction between positive and negative social interactions. To improve the contribution of passive audio collection to understanding the social environment, future work should improve the accuracy of audio categorization, code for constellations of sounds, and combine audio with other smartphone data collection such as location and activity.

Passive sensing on mobile devices to improve mental health services with adolescent and young mothers in low-resource settings: the role of families in feasibility and acceptability.

BACKGROUND: Passive sensor data from mobile devices can shed light on daily activities, social behavior, and maternal-child interactions to improve maternal and child health services including mental healthcare. We assessed feasibility and acceptability of the Sensing Technologies for Maternal Depression Treatment in Low Resource Settings (StandStrong) platform. The StandStrong passive data collection platform was piloted with adolescent and young mothers, including mothers experiencing postpartum depression, in Nepal. METHODS: Mothers (15-25 years old) with infants (< 12 months old) were recruited in person from vaccination clinics in rural Nepal. They were provided with an Android smartphone and a Bluetooth beacon to collect data in four domains: the mother's location using the Global Positioning System (GPS), physical activity using the phone's accelerometer, auditory environment using episodic audio recording on the phone, and mother-infant proximity measured with the Bluetooth beacon attached to the infant's clothing. Feasibility and acceptability were evaluated based on the amount of passive sensing data collected compared to the total amount that could be collected in a 2-week period. Endline qualitative interviews were conducted to understand mothers' experiences and perceptions of passive data collection. RESULTS: Of the 782 women approached, 320 met eligibility criteria and 38 mothers (11 depressed, 27 non-depressed) were enrolled. 38 mothers (11 depressed, 27 non-depressed) were enrolled. Across all participants, 5,579 of the hour-long data collection windows had at least one audio recording [mean (M) = 57.4% of the total possible hour-long recording windows per participant; median (Mdn) = 62.6%], 5,001 activity readings (M = 50.6%; Mdn = 63.2%), 4,168 proximity readings (M = 41.1%; Mdn = 47.6%), and 3,482 GPS readings (M = 35.4%; Mdn = 39.2%). Feasibility challenges were phone battery charging, data usage exceeding prepaid limits, and burden of carrying mobile phones. Acceptability challenges were privacy concerns and lack of family involvement. Overall, families' understanding of passive sensing and families' awareness of potential benefits to mothers and infants were the major modifiable factors increasing acceptability and reducing gaps in data collection. CONCLUSION: Per sensor type, approximately half of the hour-long collection windows had at least one reading. Feasibility challenges for passive sensing on mobile devices can be addressed by providing alternative phone charging options, reverse billing for the app, and replacing mobile phones with smartwatches. Enhancing acceptability will require greater family involvement and improved communication regarding benefits of passive sensing for psychological interventions and other health services. Registration International Registered Report Identifier (IRRID): DERR1-10.2196/14734.

Utilizing passive sensing data to provide personalized psychological care in low-resource settings.

Background: With the growing ubiquity of smartphones and wearable devices, there is an increased potential of collecting passive sensing data in mobile health. Passive data such as physical activity, Global Positioning System (GPS), interpersonal proximity, and audio recordings can provide valuable insight into the lives of individuals. In mental health, these insights can illuminate behavioral patterns, creating exciting opportunities for mental health service providers and their clients to support pattern recognition and problem identification outside of formal sessions. In the Sensing Technologies for Maternal Depression Treatment in Low Resource Settings (StandStrong) project, our aim was to build an mHealth application to facilitate the delivery of psychological treatments by lay counselors caring for adolescent mothers with depression in Nepal. Methods: This paper describes the development of the StandStrong platform comprising the StandStrong Counselor application, and a cloud-based processing system, which can incorporate any tool that generates passive sensing data. We developed the StandStrong Counselor application that visualized passively collected GPS, proximity, and activity data. In the app, GPS data displays as heat maps, proximity data as charts showing the mother and child together or apart, and mothers' activities as activity charts. Lay counselors can use the StandStrong application during counseling sessions to discuss mothers' behavioral patterns and clinical progress over the course of a five-week counseling intervention. Awards based on collected data also can be automatically generated and sent to mothers. Additionally, messages can be sent from counselors to mother's personal phones through the StandStrong platform. Discussion: The StandStrong platform has the potential to improve the quality and effectiveness of psychological services delivered by non-specialists in diverse global settings.

Correction: Wearable Digital Sensors to Identify Risks of Postpartum Depression and Personalize Psychological Treatment for Adolescent Mothers: Protocol for a Mixed Methods Exploratory Study in Rural Nepal.

[This corrects the article DOI: 10.2196/14734.].

Wearable Digital Sensors to Identify Risks of Postpartum Depression and Personalize Psychological Treatment for Adolescent Mothers: Protocol for a Mixed Methods Exploratory Study in Rural Nepal.

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.

Factors that influence the intention to use mobile phone caller tunes for patient reporting of adverse drug reactions: a qualitative study.

BACKGROUND: Patient reporting of adverse drug reactions (ADRs) is low in low- and middle-income countries, in part because of poor awareness to report. With the increase in mobile subscription, mobile phones can be used as a platform to disseminate information on ADRs. The aim of this study was to qualitatively assess the potential of using mobile phone caller tunes (the message or sound the caller hears before the receiver answers the call) to encourage patient reporting of ADRs. METHODS: A total of 38 key informant interviews and 12 focus group discussions (57 participants in groups of 4-5) were conducted in Accra, Ghana. The transcripts were analysed using key constructs of the Technology Acceptance Model (TAM) including perceived usefulness, perceived ease of use, and behavioural intention to use caller tunes for patient reporting of ADRs. RESULTS: Respondents mentioned lack of knowledge on reporting ADRs, and their willingness to use mobile phone caller tunes to promote patient reporting of ADRs. Many respondents pointed out how ADRs usually led to discontinuity in medication use, usually without consultation with health professionals. Caller tunes were regarded an innovative, accessible and convenient platform to disseminate information on ADRs. Most respondents intended to use caller tunes with drug safety information to promote ADR reporting, particularly to help their friends and family members. Simplicity of the message, use of songs or messages in local languages and price of downloading the caller tunes were important considerations. CONCLUSION: There is a need for the creation and testing of caller tunes on ADRs in Ghana to promote patient or consumer reporting of ADRs. Further studies are needed to assess factors that could influence the creation and use of caller tunes to disseminate information on drug safety.

Identifying strengths and weaknesses of the integration of biomedical and herbal medicine units in Ghana using the WHO Health Systems Framework: a qualitative study.

BACKGROUND: The use of herbal medicines in developing countries has been increasing over the years. In Ghana, since 2011, the government has been piloting the integration of herbal medicine in 17 public hospitals. However, the strengths and the weaknesses of the integration have not been fully explored. The current study sought to examine the strengths and weaknesses of the integration using the WHO health systems framework. METHODS: This study used qualitative, exploratory study design involving interviews of 25 key informants. The respondents had experience in conducting herbal medicine research. Two key informants were medical herbalists practising in hospitals piloting the integration in Ghana. We used Framework analysis to identify the perspectives of key informants in regards to the integration.  RESULTS: Key informants mostly support the integration although some noted that the government needs to support scale-up in other public hospitals. Among the strengths cited were the employment of medical herbalists, utilization of traditional knowledge, research opportunities, and efficient service delivery by restricting the prescription and use of fake herbal medicine. The weaknesses were the lack of government policies on implementing the integration, financial challenges because the National Health Insurance Scheme does not cover herbal medicine, poor advocacy and research opportunities, and lack of training of conventional health practitioners in herbal medicine. CONCLUSIONS: Researchers view the integration of the two healthcare systems-biomedicine, and herbal medicine- positively but it has challenges that need to be addressed. The integration could offer more opportunities for researching into herbal medicine. More training for conventional health professionals in herbal medicine could increase the chances of better coordination between the two units. Additionally, strong advocacy and publicity is needed to educate more people on the integration and the utilization of the services.