research-article

Mobile-Health Tool Use and Community Health Worker Performance in the Kenyan Context: A Task-Technology Fit Perspective

Authors:

Maradona Gatara,

Jason F CohenAuthors Info & Claims

SAICSIT '14: Proceedings of the Southern African Institute for Computer Scientist and Information Technologists Annual Conference 2014 on SAICSIT 2014 Empowered by Technology

Pages 229 - 240

https://doi.org/10.1145/2664591.2664628

Published: 29 September 2014 Publication History

Abstract

Community Health Workers (CHWs) are often the only link to healthcare for millions of people in the developing world. There is growing interest in supporting CHWs at the point-of-care through the application of mobile-health or mHealth platforms. Despite the promise of these technologies, there is a lack of substantive evidence regarding the impacts of mHealth tools on healthcare service delivery and whether these tools are adequately designed to fit with the intended healthcare service tasks, thereby enhancing CHW workflow efficiencies. To address this gap, the study aims to (i) determine a relevant set of dimensions along which to evaluate healthcare service task and mHealth tool characteristics, and (ii) use these dimensions to theorize and test a Task-Technology Fit model to predict mHealth tool use and CHW performance. Data was collected from 312 CHWs in the counties of Siaya, Nandi, and Kilifi, in Kenya using a survey instrument. Findings show that "fit' as the covariation between healthcare service task and mHealth tool characteristics will result in increased mHealth tool use and enhanced CHW performance in the Kenyan context. Results thus confirm that by providing adequate functional support for CHW needs, mHealth tools may represent the most effective and cost-effective way to ultimately save lives and improve healthcare outcomes in the developing world.

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Calambur VJun DSchiaffino MZhang ZHuh-Yoo J(2024)A case for "little English" in Nurse Notes from the Telehealth Intervention Program for Seniors: Implications for Future Design and ResearchProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3641961(1-16)Online publication date: 11-May-2024
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Index Terms

Mobile-Health Tool Use and Community Health Worker Performance in the Kenyan Context: A Task-Technology Fit Perspective
1. Human-centered computing
  1. Human computer interaction (HCI)

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SAICSIT '14: Proceedings of the Southern African Institute for Computer Scientist and Information Technologists Annual Conference 2014 on SAICSIT 2014 Empowered by Technology

September 2014

359 pages

ISBN:9781450332460

DOI:10.1145/2664591

Copyright © 2014 ACM.

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Published: 29 September 2014

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SAICSIT '14

SAICSIT '14: Southern African Institute for Computer Scientist and Information Technologists Annual Conference 2014

September 29 - October 1, 2014

Centurion, South Africa

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Cited By

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https://dl.acm.org/doi/10.1145/3613904.3641961
Butt SMahmood ASaleem SMurtaza SHassan SMolnár E(2023)The Contribution of Learner Characteristics and Perceived Learning to Students’ Satisfaction and Academic Performance during COVID-19Sustainability10.3390/su1502134815:2(1348)Online publication date: 11-Jan-2023
https://doi.org/10.3390/su15021348
Adhitya Mahatva Yodha Nuryakin Arni Suwanti (2023)The effect of use, task technology-fit, user satisfaction on performance of the Kimia Farma Pharmacy employees in Yogyakarta business unitInternational Journal of Research in Business and Social Science (2147- 4478)10.20525/ijrbs.v12i1.231012:1(48-56)Online publication date: 13-Feb-2023
https://doi.org/10.20525/ijrbs.v12i1.2310
Liu YLu HChen C(2023)Which are the vital factors of mobile personal health records applications that promote continued usage? A perspective on technology fit and social capitalDIGITAL HEALTH10.1177/205520762311812169Online publication date: 8-Jun-2023
https://doi.org/10.1177/20552076231181216
Butt SMahmood ASaleem SRashid TIkram A(2021)Students’ Performance in Online Learning Environment: The Role of Task Technology Fit and Actual Usage of System During COVID-19Frontiers in Psychology10.3389/fpsyg.2021.75922712Online publication date: 4-Nov-2021
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Aljarboa SMiah S(2021)Acceptance of clinical decision support systems in Saudi healthcare organisationsInformation Development10.1177/0266666921102507639:1(86-106)Online publication date: 23-Jun-2021
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Aljarboa SMiah S(2021)An Integration of UTAUT and Task-Technology Fit Frameworks for Assessing the Acceptance of Clinical Decision Support Systems in the Context of a Developing CountryProceedings of Sixth International Congress on Information and Communication Technology10.1007/978-981-16-2380-6_11(127-137)Online publication date: 17-Sep-2021
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Feroz AJabeen RSaleem S(2020)Using mobile phones to improve community health workers performance in low-and-middle-income countriesBMC Public Health10.1186/s12889-020-8173-320:1Online publication date: 13-Jan-2020
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Bozaykut TKuyucu EPinar I(2016)Investigating the antecedents of task-technology fitInternational Journal of Business Information Systems10.1504/IJBIS.2016.07784222:4(516-529)Online publication date: 1-Jan-2016
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