Dataset Information

Design and Development of a Digital Program for Training Non-Specialist Health Workers to Deliver an Evidence-Based Psychological Treatment for Depression in Primary Care in India.

ABSTRACT:

Background

Digital technologies hold promise for building capacity of non-specialist health workers towards scaling up depression care in low-resource settings. The purpose of this study was to describe the systematic approach to designing a digital program for training non-specialist health workers to deliver an evidence-based brief psychological treatment for depression, called the Healthy Activity Program, in primary care in rural India.

Methods

The design and development of the training program involved 5 steps: 1) develop program blueprint; 2) create instructional content; 3) digitize content for a smartphone app; 4) develop a platform for uploading and hosting the digital content; and 5) user-testing and refinements to ensure program functioning. This was followed by field-testing and focus group discussions with non-specialist health workers recruited from primary care facilities in Madhya Pradesh, India, to inform further modifications and improvements to the digital training program.

Results

Training program development occurred over 12-months, and the final digital training consisted of 16 modules with videos, role-plays, and digital content tailored to the local culture and context. Focus group discussions with 19 non-specialist health workers generated three key action items and modifications to the digital training in response to participant feedback: 1) addressing technical challenges by making the digital content available offline; 2) account for low digital literacy by including a comprehensive orientation session about navigating the smartphone app; and 3) addition of remote coaching to support participants in completing the training.

Conclusions

This study illustrates a step-wise approach to combine evidence-based content with iterative feedback from stakeholders to develop a digital training program tailored to the context in a low-resource setting. Further research is needed to validate this approach and to evaluate the effectiveness of the final modified digital training program, while considering whether this approach can be adopted and replicated in other settings.

SUBMITTER: Khan A

PROVIDER: S-EPMC8211059 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Design and Development of a Digital Program for Training Non-Specialist Health Workers to Deliver an Evidence-Based Psychological Treatment for Depression in Primary Care in India.

Khan Azaz A Shrivastava Ritu R Tugnawat Deepak D Singh Abhishek A Dimidjian Sona S Patel Vikram V Bhan Anant A Naslund John A JA

Journal of technology in behavioral science 20200831 4

<h4>Background</h4>Digital technologies hold promise for building capacity of non-specialist health workers towards scaling up depression care in low-resource settings. The purpose of this study was to describe the systematic approach to designing a digital program for training non-specialist health workers to deliver an evidence-based brief psychological treatment for depression, called the Healthy Activity Program, in primary care in rural India.<h4>Methods</h4>The design and development of th ...[more]

PMID: 34150992

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Project description:Three-quarters of the global mental health burden exists in low- and middle-income countries (LMICs), yet the lack of mental health services in resource-poor settings is striking. Task-sharing (also, task-shifting), where mental health care is provided by non-specialists, has been proposed to improve access to mental health care in LMICs. This multi-site qualitative study investigates the acceptability and feasibility of task-sharing mental health care in LMICs by examining perceptions of primary care service providers (physicians, nurses, and community health workers), community members, and service users in one district in each of the five countries participating in the PRogramme for Improving Mental health carE (PRIME): Ethiopia, India, Nepal, South Africa, and Uganda. Thirty-six focus group discussions and 164 in-depth interviews were conducted at the pre-implementation stage between February and October 2012 with the objective of developing district level plans to integrate mental health care into primary care. Perceptions of the acceptability and feasibility of task-sharing were evaluated first at the district level in each country through open-coding and then at the cross-country level through a secondary analysis of emergent themes. We found that task-sharing mental health services is perceived to be acceptable and feasible in these LMICs as long as key conditions are met: 1) increased numbers of human resources and better access to medications; 2) ongoing structured supportive supervision at the community and primary care-levels; and 3) adequate training and compensation for health workers involved in task-sharing. Taking into account the socio-cultural context is fundamental for identifying local personnel who can assist in detection of mental illness and facilitate treatment and care as well as training, supervision, and service delivery. By recognizing the systemic challenges and sociocultural nuances that may influence task-sharing mental health care, locally-situated interventions could be more easily planned to provide appropriate and acceptable mental health care in LMICs.

Project description:BackgroundMany low- and middle-income countries have adopted telemedicine programs that connect frontline health workers (FHWs) such as nurses, midwives, or community health workers in rural and remote areas with physicians in urban areas to deliver care to patients. By leveraging technology to reduce temporal, financial, and geographical barriers, these health worker-to-physician telemedicine programs have the potential to increase health care quality, expand the specialties available to patients, and reduce the time and cost required to deliver care.ObjectiveWe aimed to identify, validate, and prioritize unmet needs in the health care space of health worker-to-physician telemedicine programs and develop and refine a solution that addresses those needs.MethodsWe collected information regarding user needs through ethnographic research, direct observation, and semistructured interviews with 37 stakeholders (n=5, 14% physicians; n=1, 3% public health program manager; n=12, 32% community health workers; and n=19, 51% patients) at 2 telemedicine clinics in rural West Bengal, India. We used the Spiral-Iterative Innovation Model to design and develop a prototype solution to meet these needs.ResultsWe identified 74 unmet needs through our immersion in health worker-to-physician telemedicine programs. We identified a critical unmet need that achieving optimal teleconsultations in low- and middle-income countries often requires shifting tasks such as history taking and physical examination from high-skilled remote physicians to FHWs. To meet this need, we developed a prototype digital assistant that would allow FHWs to assume some of the tasks carried out by remote clinicians. The user needs of multiple stakeholder groups (patients, FHWs, physicians, and health organizations) were incorporated into the design and features of the task-shifting tool. The final prototype was shared with the health workers, physicians, and public health program managers who expressed that the tool would be useful and valuable.ConclusionsThe final prototype that was developed was released as an open-source digital public good and may improve the quality and efficiency of care delivery in health worker-to-physician telemedicine programs.

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Dataset Information

Design and Development of a Digital Program for Training Non-Specialist Health Workers to Deliver an Evidence-Based Psychological Treatment for Depression in Primary Care in India.

Background

Methods

Results

Conclusions

Publications

Design and Development of a Digital Program for Training Non-Specialist Health Workers to Deliver an Evidence-Based Psychological Treatment for Depression in Primary Care in India.

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