Evidence mapPaperPMID 40267474Full record

ArticleJMIR human factors2025

Empowering Community Health Workers With Scripted Medicine: Design Science Research Study.

Dario Staehelin, Damaris Schmid, Felix Gerber, Mateusz Dolata, Gerhard Schwabe

Abstract read
In one paragraph

Article in JMIR human factors, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing 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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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

5 authors.

Dario StaehelinDepartment for Information and Process Management, Eastern Switzerland University of Applied Sciences, St. Gallen, Switzerland.ORCID https://orcid.org/0000-0002-2467-5593
Damaris SchmidDepartment of Informatics, University of Zurich, Zurich, Switzerland.ORCID https://orcid.org/0000-0002-8116-5792
Felix GerberDivision of Clinical Epidemiology, Department of Clinical Research, University Hospital Basel, Basel, Switzerland.ORCID https://orcid.org/0000-0002-9736-1907
Mateusz DolataDepartment of Informatics, University of Zurich, Zurich, Switzerland.ORCID https://orcid.org/0000-0002-2732-4465
Gerhard SchwabeDepartment of Informatics, University of Zurich, Zurich, Switzerland.ORCID https://orcid.org/0000-0002-0453-9762

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe World Health Organization anticipates a shortage of 14 million health workers by 2030, particularly affecting the Global South. Community health workers (CHWs) may mitigate the shortages of professional health care workers. Recent studies have explored the feasibility and effectiveness of shifting noncommunicable disease (NCD) services to CHWs. Challenges, such as high attrition rates and variable performance, persist due to inadequate organizational support and could hamper such efforts. Research on employee empowerment highlights how organizational structures affect employees' perception of empowerment and retention.

objectiveThis study aims to develop Scripted Medicine to empower CHWs to accept broader responsibilities in NCD care. It aims to convey relevant medical and counseling knowledge through medical algorithms and ThinkLets (ie, social scripts). Collaboration engineering research offers insights that could help address the structural issues in community-based health care and facilitate task shifting.

methodsThis study followed a design science research approach to implement a mobile health-supported, community-based intervention in 2 districts of Lesotho. We first developed the medical algorithms and ThinkLets based on insights from collaboration engineering and algorithmic management literature. We then evaluated the designed approach in a field study in the ComBaCaL (Community Based Chronic Disease Care Lesotho) project. The field study included 10 newly recruited CHWs and spanned over 2 weeks of training and 12 weeks of field experience. Following an abductive approach, we analyzed surveys, interviews, and observations to study how Scripted Medicine empowers CHWs to accept broader responsibilities in NCD care.

resultsScripted Medicine successfully conveyed the required medical and counseling knowledge through medical algorithms and ThinkLets. We found that medical algorithms predominantly influenced CHWs' perception of structural empowerment, while ThinkLets affected their psychological empowerment. The different perceptions between the groups of CHWs from the 2 districts highlighted the importance of considering the cultural and economic context.

conclusionsWe propose Scripted Medicine as a novel approach to CHW empowerment inspired by collaboration engineering and algorithmic management. Scripted Medicine broadens the perspective on mobile health-supported, community-based health care. It emphasizes the need to script not only essential medical knowledge but also script counseling expertise. These scripts allow CHWs to embed medical knowledge into the social interactions in community-based health care. Scripted Medicine empowers CHW to accept broader responsibilities to address the imminent shortage of medical professionals in the Global South.

Indexed as

Community Health WorkersEmpowermentNoncommunicable DiseasesAdultFemaleHumansMaleResearch Designalgorithmic managementcollaboration engineeringcommunity-based health carecommunity health workersdigital healthempowermentmHealthmobile healthScripted Medicinetask shifting

Identifiers

PMID40267474
PMCPMC12059493

What Socratic holds

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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.