The Vinyasa Tool for mHealth Solutions: Supporting Human-Centered Design in Nascent Digital Health Ecosystems.

BACKGROUND: mHealth (mobile health) systems have been deployed widely in low- and middle-income countries (LMICs) for health system strengthening, requiring considerable resource allocation. However, most solutions have not achieved scale or sustainability. Poor usability and failure to address perceived needs are among the principal reasons mHealth systems fail to achieve acceptance and adoption by health care workers. A human-centered design approach to improving mHealth system use requires an exploration of users' perceptions of mHealth systems, including the environmental, user-related, and technological aspects of a system. At present, there is a dearth of contextually intelligent tools available to mHealth developers that can guide such exploration before full-scale development and deployment. OBJECTIVE: To develop a tool to aid optimization of mHealth solutions in LMICs to facilitate human-centered design and, consequently, successful adoption. METHODS: We collated findings and themes from key qualitative studies on mHealth deployment in LMICs. We then used the Informatics Stack framework by Lehmann to label, sort, and collate findings and themes into a list of questions that explore the environment, users, artifacts, information governance, and interoperability of mHealth systems deployed in LMICs. RESULTS: We developed the Vinyasa Tool to aid qualitative research about the need and usability of mHealth solutions in LMICs. The tool is a guide for focus group discussions and key informant interviews with community-based health care workers and primary care medical personnel who use or are expected to use proposed mHealth solutions. The tool consists of 71 questions organized in 11 sections that unpack and explore multiple aspects of mHealth systems from the perspectives of their users. These include the wider world and organization in which an mHealth solution is deployed; the roles, functions, workflow, and adoption behavior of a system's users; the security, privacy, and interoperability afforded by a system; and the artifacts of an information system-the data, information, knowledge, algorithms, and technology that constitute the system. The tool can be deployed in whole or in part, depending on the context of the study. CONCLUSIONS: The Vinyasa Tool is the first such comprehensive qualitative research instrument incorporating questions contextualized to the LMIC setting. We expect it to find wide application among mHealth developers, health system administrators, and researchers developing and deploying mHealth tools for use by patients, providers, and administrators. The tool is expected to guide users toward human-centered design with the goal of improving relevance, usability, and, therefore, adoption.

Mobile Mental Health in Women's Community-Based Organizations: Protocol for a Pilot Randomized Controlled Trial.

BACKGROUND: Of every 10 women in rural India, 1 suffers from a common mental disorder such as depression, and untreated depression is associated with significant morbidity and mortality. Several factors lead to a large treatment gap, specifically for women in rural India, including stigma, lack of provider mental health workforce, and travel times. There is an urgent need to improve the rates of detection and treatment of depression among women in rural India without overburdening the scarce mental health resources. OBJECTIVE: We propose to develop, test, and deploy a mental health app, MITHRA (Multiuser Interactive Health Response Application), for depression screening and brief intervention, designed for use in women's self-help groups (SHGs) in rural India. METHODS: We will use focus groups with SHG members and community health workers to guide the initial development of the app, followed by iterative modification based on input from a participatory design group consisting of proposed end users of the app (SHG members). The final version of the app will then be deployed for testing in a pilot cluster randomized trial, with 3 SHGs randomized to receive the app and 3 to receive enhanced care as usual. RESULTS: This study was funded in June 2021. As of September 2022, we have completed both focus groups, 1 participatory design group, and app development. CONCLUSIONS: Delivering app-based depression screening and treatment in community settings such as SHGs can address stigma and transportation-related barriers to access to depression care and overcome cultural and contextual barriers to mobile health use. It can also address the mental health workforce shortage. If we find that the MITHRA approach is feasible, we will test the implementation and effectiveness of MITHRA in multiple SHGs across India in a larger randomized controlled trial. This approach of leveraging community-based organizations to improve the reach of depression screening and treatment is applicable in rural and underserved areas across the globe. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/42919.

Dense Annotation of Free-Text Critical Care Discharge Summaries from an Indian Hospital and Associated Performance of a Clinical NLP Annotator.

Electronic Health Record (EHR) use in India is generally poor, and structured clinical information is mostly lacking. This work is the first attempt aimed at evaluating unstructured text mining for extracting relevant clinical information from Indian clinical records. We annotated a corpus of 250 discharge summaries from an Intensive Care Unit (ICU) in India, with markups for diseases, procedures, and lab parameters, their attributes, as well as key demographic information and administrative variables such as patient outcomes. In this process, we have constructed guidelines for an annotation scheme useful to clinicians in the Indian context. We evaluated the performance of an NLP engine, Cocoa, on a cohort of these Indian clinical records. We have produced an annotated corpus of roughly 90 thousand words, which to our knowledge is the first tagged clinical corpus from India. Cocoa was evaluated on a test corpus of 50 documents. The overlap F-scores across the major categories, namely disease/symptoms, procedures, laboratory parameters and outcomes, are 0.856, 0.834, 0.961 and 0.872 respectively. These results are competitive with results from recent shared tasks based on US records. The annotated corpus and associated results from the Cocoa engine indicate that unstructured text mining is a viable method for cohort analysis in the Indian clinical context, where structured EHR records are largely absent.

Real-time feedback for improving compliance to hand sanitization among healthcare workers in an open layout ICU using radiofrequency identification.

The aim of this study is to increase hand sanitizer usage among healthcare workers by developing and implementing a low-cost intervention using RFID and wireless mesh networks to provide real-time alarms for increasing hand hygiene compliance during opportune moments in an open layout Intensive Care Unit (ICU). A wireless, RFID based system was developed and implemented in the ICU. The ICU beds were divded into an intervention arm (n = 10) and a control arm (n = 14). Passive RFID tags were issued to the doctors, nurses and support staff of the ICU. Long range RFID readers were positioned strategically. Sensors were placed beneath the hand sanitizers to record sanitizer usage. The system would alert the HCWs by flashing a light if an opportune moment for hand sanitization was detected. A significant increase in hand sanitizer use was noted in the intervention arm. Usage was highest during the early part of the workday and decreased as the day progressed. Hand wash events per person hour was highest among the ancilliary staff followed by the doctors and nurses. Real-time feedback has potential to increase hand hygiene compliance among HCWs. The system demonstrates the possibility of automating compliance monitoring in an ICU with an open layout.

Electronic health records and information portability: a pilot study in a rural primary healthcare center in India.

Clinical documentation and health information portability pose unique challenges in urban and rural areas of India. This article presents findings of a pilot study conducted in a primary health center in rural India. In this article, we focus on primary care in rural India and how a portable health record system could facilitate the availability of medical information at the point of care. We followed a geriatric cohort and a maternal cohort of 308 participants over a nine-month period. Physician encounters were entered into a web-based electronic health record. This information was made available to all study participants through a short messaging service (SMS). Additionally, 135 randomly selected participants from the cohort were issued a USB-based memory card that contained their detailed health records and could be viewed on most computers. The dual portability model implemented in the pilot study demonstrates the utility of the concept.