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eConsent administered by Community Health Workers in a study using the Trials within Cohorts (TwiCs) design—Experiences from the Community-Based chronic Care Lesotho (ComBaCaL) project

Authors :
Felix Gerber
Thesar Tahirsylaj
Thabo Ishmael Lejone
Tristan Lee
Giuliana Sanchez-Samaniego
Fabian Raeber
Sesale Masike
Ravi Gupta
Manthabiseng Molulela
Makhebe Khomolishoele
Mota Mota
Matumaole Bane
Mamoronts’ane Pauline Sematle
Retselisitsoe Makabateng
Jason Immanuel Browne
Jonas Wittwer
Dave Brian Basler
Kevin Kindler
Niklaus Daniel Labhardt
Alain Amstutz
Source :
Digital Health, Vol 10 (2024)
Publication Year :
2024
Publisher :
SAGE Publishing, 2024.

Abstract

Improving access to essential health services requires the development of innovative health service delivery models and their scientific assessment in often large-scale pragmatic trials. In many low- and middle-income countries, lay Community Health Workers (CHWs) play an important role in delivering essential health services. As trusted members of their communities with basic medical training, they may also contribute to health data collection. Digital clinical decision support applications may facilitate the involvement of CHWs in service delivery and data collection. Electronic consent (eConsent) can streamline the consent process that is required if the collected data is used for the scientific purposes. Here, we describe the experiences of using eConsent in the Community-Based chronic Care Lesotho (ComBaCaL) cohort study and multiple nested pragmatic cluster-randomized trials assessing CHW-led care delivery models for type 2 diabetes and arterial hypertension using the Trials within Cohorts (TwiCs) design. More than a hundred CHWs, acting both as service providers and data collectors in remote villages of Lesotho utilize an eConsent application that is linked to a tailored clinical decision support and data collection application. The eConsent application presents simplified consent information and generates personalized consent forms that are signed electronically on a tablet and then uploaded to the database of the clinical decision support application. This significantly streamlines the consent process and allows for quality consent documentation through timely central monitoring, facilitating the CHW-led management of a large-scale population-based cohort in a remote low-resource area with continuous enrollment—currently at more than 16,000 participants.

Details

Language :
English
ISSN :
20552076
Volume :
10
Database :
Directory of Open Access Journals
Journal :
Digital Health
Publication Type :
Academic Journal
Accession number :
edsdoj.041b771875847f991100733fb26d293
Document Type :
article
Full Text :
https://doi.org/10.1177/20552076241288757