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Coach-Supported Versus Self-guided Digital Training Course for a Problem-solving Psychological Intervention for Nonspecialists: Protocol for a Pre-Post Nested Randomized Controlled Trial

We wished to test whether a similar coaching approach may enhance engagement with, and competencies attained, with a DT package related to an adolescent mental health intervention.

Sonal Mathur, Helen A Weiss, Melissa Neuman, Andy P Field, Baptiste Leurent, Tejaswi Shetty, James E J, Pooja Nair, Rhea Mathews, Kanika Malik, Daniel Michelson, Vikram Patel

JMIR Res Protoc 2023;12:e41981

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A Guided Internet-Based Problem-Solving Intervention Delivered Through Smartphones for Secondary School Pupils During the COVID-19 Pandemic in India: Protocol for a Pilot Randomized Controlled Trial

The current protocol describes a pilot feasibility trial of “POD Adventures”—a novel gamified intervention delivered via a smartphone app and supported remotely by counsellors for a target population of secondary school students in India. Although the intervention was developed prior to the COVID-19 pandemic, the timing of the COVID-19 outbreak meant that the trial was launched in the midst of lockdowns and extended school closures.

Pattie P Gonsalves, Rhea Sharma, Eleanor Hodgson, Bhargav Bhat, Abhijeet Jambhale, Helen A Weiss, Christopher G Fairburn, Kate Cavanagh, Pim Cuijpers, Daniel Michelson, Vikram Patel

JMIR Res Protoc 2021;10(10):e30339

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Long-Term Outcomes of the Good School Toolkit Primary School Violence Prevention Intervention Among Adolescents: Protocol for a Nonrandomized Quasi-Experimental Study

Violence against children that occurs in school is a global public health problem that takes many forms. It may include physical, emotional, and sexual violence and involve different perpetrators and power dynamics [4]. In Uganda, similar to in other resource-constrained settings, the majority of primary school students have experienced physical violence from a teacher, and almost half have experienced physical, emotional, or sexual violence from a fellow student [5-7].

Louise Knight, Lydia Atuhaire, Elizabeth Allen, Sophie Namy, Katharina Anton-Erxleben, Janet Nakuti, Angel Faridah Mirembe, Mastula Nakiboneka, Janet Seeley, Helen A Weiss, Jenny Parkes, Chris Bonell, Dipak Naker, Karen Devries

JMIR Res Protoc 2020;9(12):e20940

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Assessing Bias in Population Size Estimates Among Hidden Populations When Using the Service Multiplier Method Combined With Respondent-Driven Sampling Surveys: Survey Study

The method uses 2 data sources [5-12], one of which is a count or listing of clients who are accessing a service, for example, the number of FSWs who attended a certain program or who were arrested by the police over a given period. The second data source is a probability-based sample of the population [3,11,13] in which participants are asked about their attendance at that program or arrest over the same period.

Sungai T Chabata, Elizabeth Fearon, Emily L Webb, Helen A Weiss, James R Hargreaves, Frances M Cowan

JMIR Public Health Surveill 2020;6(2):e15044

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