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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.
Gerber, Felix; Tahirsylaj, Thesar; Lejone, Thabo Ishmael; Lee, Tristan; Sanchez-Samaniego, Giuliana; Raeber, Fabian; Masike, Sesale; Gupta, Ravi; Molulela, Manthabiseng; Khomolishoele, Makhebe; Mota, Mota; Bane, Matumaole; Sematle, Mamoronts'ane Pauline; Makabateng, Retselisitsoe; Browne, Jason Immanuel; Wittwer, Jonas; Basler, Dave Brian; Kindler, Kevin; Labhardt, Niklaus Daniel; Amstutz, Alain.
Afiliação
  • Gerber F; Division of Clinical Epidemiology, Department of Clinical Research, University Hospital Basel, Basel, Switzerland.
  • Tahirsylaj T; Faculty of Medicine, University of Basel, Basel, Switzerland.
  • Lejone TI; Department of Medicine, Swiss Tropical and Public Health Institute, Allschwil, Switzerland.
  • Lee T; Division of Clinical Epidemiology, Department of Clinical Research, University Hospital Basel, Basel, Switzerland.
  • Sanchez-Samaniego G; Faculty of Medicine, University of Basel, Basel, Switzerland.
  • Raeber F; Division of Clinical Epidemiology, Department of Clinical Research, University Hospital Basel, Basel, Switzerland.
  • Masike S; Faculty of Medicine, University of Basel, Basel, Switzerland.
  • Gupta R; Division of Clinical Epidemiology, Department of Clinical Research, University Hospital Basel, Basel, Switzerland.
  • Molulela M; Faculty of Medicine, University of Basel, Basel, Switzerland.
  • Khomolishoele M; Division of Clinical Epidemiology, Department of Clinical Research, University Hospital Basel, Basel, Switzerland.
  • Mota M; Faculty of Medicine, University of Basel, Basel, Switzerland.
  • Bane M; Division of Clinical Epidemiology, Department of Clinical Research, University Hospital Basel, Basel, Switzerland.
  • Sematle MP; Faculty of Medicine, University of Basel, Basel, Switzerland.
  • Makabateng R; SolidarMed, Maseru, Lesotho.
  • Browne JI; SolidarMed, Maseru, Lesotho.
  • Wittwer J; SolidarMed, Maseru, Lesotho.
  • Basler DB; SolidarMed, Maseru, Lesotho.
  • Kindler K; SolidarMed, Maseru, Lesotho.
  • Labhardt ND; SolidarMed, Maseru, Lesotho.
  • Amstutz A; SolidarMed, Maseru, Lesotho.
Digit Health ; 10: 20552076241288757, 2024.
Article em En | MEDLINE | ID: mdl-39360243
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Digit Health Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Suíça País de publicação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Digit Health Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Suíça País de publicação: Estados Unidos