Evidence map›Paper›PMID 40070541›Full record

ArticleFrontiers in digital health2025

Intention to use personal health records and associated factors among healthcare providers in southwest Oromia region referral hospitals, Ethiopia: using the modified unified theory of acceptance and use technology 2 model.

Geleta Nenko Dube, Mulusew Andualem Asemahagn, Yared Mulu, Habtamu Alganeh Guadie, Mohammedjud Hassen Ahmed, Agmasie Damtew Walle, Getu Kassa Bitacha, Temesgen Ayenew Alameraw, Nega Abebe Meshasha

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Article in Frontiers in digital health, 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

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

1 citing paper in PubMed.

  1. Article
4 · The record

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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

9 authors.

Geleta Nenko DubeDepartment of Health Informatics, College of Health Sciences, Mattu University, Mattu, Ethiopia.
Mulusew Andualem AsemahagnSchool of Public Health, College of Medicine and Health Sciences, Bahir Dar University, Bahir Dar, Ethiopia.
Yared MuluSchool of Public Health, College of Medicine and Health Sciences, Bahir Dar University, Bahir Dar, Ethiopia.
Habtamu Alganeh GuadieSchool of Public Health, College of Medicine and Health Sciences, Bahir Dar University, Bahir Dar, Ethiopia.
Mohammedjud Hassen AhmedDepartment of Health Informatics, College of Health Sciences, Mattu University, Mattu, Ethiopia.
Agmasie Damtew WalleDepartment of Health Informatics, College of Health Sciences, Mattu University, Mattu, Ethiopia.
Getu Kassa BitachaSchool of Public Health, College of Medicine and Health Sciences, Dilla University, Dilla, Ethiopia.
Temesgen Ayenew AlamerawDepartment of Health Informatics, College of Medicine and Health Sciences, Arba Minch University, Arba Minch, Ethiopia.
Nega Abebe MeshashaDeparment of Public Health, Institute of Health Sciences, Dambi Dollo University, Dambi Dollo, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: A well-informed decision needs the collection of accurate and organized data, which is becoming more essential in the healthcare industry due to the increasing integration of various technologies. The literature has revealed that the magnitude of intention to use personal health records among healthcare providers is low. Consequently, this study aimed to assess healthcare providers' intentions to use personal health records and its factors in Ethiopia. Methods: A facility-based cross-sectional study was conducted among 781 healthcare providers in referral hospitals in the Southwest Oromia region, Ethiopia. A simple sampling technique was used to select the study participants among healthcare providers. A pretested self-administered questionnaire was used to collect the data. The degree of correlation between exogenous and endogenous variables was described and validated using structural equation modeling using AMOS 26. Results: The proportion of intention to use personal health records was 57.6%, 95% CI (53.9-61.2). Factors positively associated with intention to use personal health records were performance expectancy (β = 0.325, Conclusions: In general, healthcare providers' intention to use personal health records were promising. Healthcare providers' intentions to use personal health records were significantly influenced by performance expectancy, effort expectancy, social influence, and facilitating conditions. Hence, implementers need to give priority to enhancing the provision of a better system, the knowledge and skills of healthcare providers, and awareness creation among staff by providing continuous training.

Indexed as

Ethiopiahealthcare providersintention to usepersonal health recordsunified theory of acceptance and use of technology 2

Identifiers

PMID40070541
PMCPMC11893608

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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.