Evidence mapPaperPMID 39360243Full record

ArticleDigital health

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.

Felix Gerber, Thesar Tahirsylaj, Thabo Ishmael Lejone, Tristan Lee, Giuliana Sanchez-Samaniego, Fabian Raeber, Sesale Masike, Ravi Gupta, Manthabiseng Molulela, Makhebe Khomolishoele and 10 more

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Trial
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors.

Felix GerberDivision of Clinical Epidemiology, Department of Clinical Research, University Hospital Basel, Basel, Switzerland.ORCID https://orcid.org/0000-0002-9736-1907
Thesar TahirsylajDivision of Clinical Epidemiology, Department of Clinical Research, University Hospital Basel, Basel, Switzerland.
Thabo Ishmael LejoneDivision of Clinical Epidemiology, Department of Clinical Research, University Hospital Basel, Basel, Switzerland.
Tristan LeeDivision of Clinical Epidemiology, Department of Clinical Research, University Hospital Basel, Basel, Switzerland.
Giuliana Sanchez-SamaniegoDivision of Clinical Epidemiology, Department of Clinical Research, University Hospital Basel, Basel, Switzerland.
Fabian RaeberDivision of Clinical Epidemiology, Department of Clinical Research, University Hospital Basel, Basel, Switzerland.
Sesale MasikeSolidarMed, Maseru, Lesotho.
Ravi GuptaSolidarMed, Maseru, Lesotho.
Manthabiseng MolulelaSolidarMed, Maseru, Lesotho.
Makhebe KhomolishoeleSolidarMed, Maseru, Lesotho.
Mota MotaSolidarMed, Maseru, Lesotho.
Matumaole BaneSolidarMed, Maseru, Lesotho.
Mamoronts'ane Pauline SematleSolidarMed, Maseru, Lesotho.
Retselisitsoe MakabatengSolidarMed, Maseru, Lesotho.
Jason Immanuel BrowneFaculty of Business, Economics and Informatics, University of Zurich, Zurich, Switzerland.
Jonas WittwerFaculty of Business, Economics and Informatics, University of Zurich, Zurich, Switzerland.
Dave Brian BaslerDivision of Clinical Epidemiology, Department of Clinical Research, University Hospital Basel, Basel, Switzerland.
Kevin KindlerDivision of Clinical Epidemiology, Department of Clinical Research, University Hospital Basel, Basel, Switzerland.
Niklaus Daniel LabhardtDivision of Clinical Epidemiology, Department of Clinical Research, University Hospital Basel, Basel, Switzerland.
Alain AmstutzDivision of Clinical Epidemiology, Department of Clinical Research, University Hospital Basel, Basel, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

clinical decision support systemCommunity Health WorkerElectronic consentLesothoTrials within Cohorts

Identifiers

PMID39360243
PMCPMC11445768

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.