Evidence map›Paper›PMID 42902989›Full record

ArticleMalawi medical journal : the journal of Medical Association of Malawi2026

Key Factors Influencing Intention to Use Digital Health Systems Among Healthcare Workers in Malawi.

Mayamiko Nkoloma, Harry Gombachika, Chomora Mikeka, Alfred Maluwa

Abstract read
In one paragraph

Article in Malawi medical journal : the journal of Medical Association of Malawi, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Mayamiko NkolomaInstitute of Industrial Research and Innovation, Malawi Institute of Technology, Malawi University of Science and Technology, Thyolo, Malawi.
Harry GombachikaMalawi University of Business and Applied Sciences, Blantyre, Malawi.
Chomora MikekaUniversity of Malawi, Physics and Electronics Department, Zomba.
Alfred MaluwaDepartment of Research and Postgraduate Outreach, Malawi University of Science and Technology, Thyolo, Malawi.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Digital Health systems (DHS) have the potential to strengthen healthcare delivery, yet their adoption remains limited in many low- and middle-income countries. Despite progress in digital health implementation, Malawi continues to face challenges related to effective use of DHS. This study investigates the key factors influencing healthcare workers' intention to use DHS in Malawi. Methods: This was a cross-sectional quantitative design that used a structured questionnaire to collect data from a sample of 615 healthcare workers across Malawi. Factor analysis and reliability testing were conducted to assess construct validity and internal consistency. Multiple linear regression was used to identify factors influencing intention to use DHS, while generalized structural equation modelling (GSEM) examined relationships involving categorical variables. Results: The results indicated that healthcare workers' intention to use DHS is influenced by several factors including, perceived ease of use (β = 0.358, p <0.001), perceived usefulness (β = 0.284, p = 0.001), job relevance (β = 0.274, p = 0.001) and subjective norms (β = 0.127, p <0.001). These findings suggest that healthcare workers are more likely to use DHS when they perceive them as useful, relevant to their daily work, easy to use, and are supported by their peers. In contrast, computer anxiety indicated a significant negative effect (β = -0.061, p = 0.001), suggesting that higher levels of computer anxiety reduce the likelihood of DHS use. Demographic and contextual factors, including gender, age, and education level were not significant factors influencing DHS. Conclusion: These findings highlight the importance of aligning digital health systems with healthcare workers' job roles, ensuring system usability, and leveraging social influence to promote adoption. Addressing computer anxiety through targeted training and capacity building may also enhance digital confidence and sustained system use.

Indexed as

Attitude of Health PersonnelDigital HealthHealth PersonnelIntentionAdultCross-Sectional StudiesDelivery of Health CareFactor Analysis, StatisticalFemaleHumansMalawiMaleMiddle AgedSurveys and QuestionnairesDigital health systemsHealthcare workersMalawiTechnology Acceptance ModelTechnology adoption

Identifiers

PMID42902989
PMCPMC13213880

What OpenQuestion holds

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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 OpenQuestion graph.