Evidence map›Paper›PMID 37006546›Full record

ArticleFrontiers in public health2023

Healthcare professionals' knowledge, attitude and its associated factors toward electronic personal health record system in a resource-limited setting: A cross-sectional study.

Sisay Maru Wubante, Masresha Derese Tegegne, Mequannent Sharew Melaku, Nebyu Demeke Mengiste, Ashenafi Fentahun, Wondosen Zemene, Makida Fikadie, Basazinew Musie, Derso Keleb, Habtemaryam Bewoketu and 5 more

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Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

15 authors.

Sisay Maru WubanteDepartment of Health Informatics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Masresha Derese TegegneDepartment of Health Informatics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Mequannent Sharew MelakuDepartment of Health Informatics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Nebyu Demeke MengisteDepartment of Health Informatics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Ashenafi FentahunDepartment of Health Informatics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Wondosen ZemeneDepartment of Health Informatics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Makida FikadieDepartment of Health Informatics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Basazinew MusieNorth Shewa Zonal Health Department, Department of Monitoring and Evaluation, Shewa, Ethiopia.
Derso KelebDepartment of Health Informatics, Bahirdar Health Science College, Bahir Dar, Ethiopia.
Habtemaryam BewoketuSouth Wollo Zonal Health Department, Akesta Primary Hospital, Akesta, Ethiopia.
Seid AdemSouth Wollo Zonal Health Department, Akesta Primary Hospital, Akesta, Ethiopia.
Simegne EsubalewNorth Shewa Zonal Health Department, Department of Monitoring and Evaluation, Shewa, Ethiopia.
Yohannes MihretieSouth Gondar Zonal Health Department, Nifas Mewocha Primary Hospital, Nefas Mewucha, Ethiopia.
Tigist Andargie FeredeDepartment of Epidemiology, Institute of Public Health College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Agmasie Damtew WalleDepartment of Health Informatics, College of Health Science, Mettu University, Mettu, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Electronic personal health record (e-PHR) system enables individuals to access their health information and manage it themselves. It helps patient engagement management of health information that is accessed and shared with their healthcare providers using the platform. This improves individual healthcare through the exchange of health information between patients and healthcare providers. However, less is known about e-PHRs among healthcare professionals. Objective: Therefore, this study aimed to assess Health professionals' Knowledge and attitude and its associated factors toward e-PHR at the teaching hospital in northwest Ethiopia. Methods: An institution-based cross-sectional study design was used to determine healthcare professionals' knowledge and attitude and their associated factors toward e-PHR systems in teaching hospitals of Amhara regional state, Ethiopia, from 20 July to 20 August 2022. Pretested structured self-administered questionnaires were used to collect the data. Descriptive statistic was computed based on sociodemographic and other variables presented in the form of table graphs and texts. Bivariable and multivariable logistic analyses were performed with an adjusted odds ratio (AOR) and 95% CI to identify predictor variables. Result: Of the total study participants, 57% were males and nearly half of the respondents had a bachelor's degree. Out of 402 participants, ~65.7% [61-70%] and 55.5% [50-60%] had good knowledge and favorable attitude toward e-PHR systems, respectively. Having a social media account 4.3 [AOR = 4.3, 95% CI (2.3-7.9)], having a smartphone 4.4 [AOR = 4.4, 95% CI (2.2-8.6)], digital literacy 8.8 [(AOR = 8.8, 95% CI (4.6-15.9)], being male 2.7 [AOR = 2.7, 95% CI (1.4-5.0)], and perceived usefulness 4.5 [(AOR = 4.5, 95% CI (2.5-8.5)] were positively associated with knowledge toward e-PHR systems. Similarly, having a personal computer 1.9 [AOR = 1.9, 95% CI (1.1-3.5)], computer training 3.9 [AOR = 3.9, 95% CI (1.8-8.3)], computer skill 19.8 [AOR = 19.8, 95% CI (10.7-36.9)], and Internet access 6.0 [AOR = 6.0, 95% CI (3.0-12.0)] were predictors for attitude toward e-PHR systems. Conclusion: The findings from the study showed that healthcare professionals have good knowledge and a favorable attitude toward e-PHRs. Providing comprehensive basic computer training to improve healthcare professionals' expectation on the usefulness of e-PHR systems has a paramount contribution to the advancement of their knowledge and attitude toward successfully implementing e-PHRs.

Indexed as

Health Knowledge, Attitudes, PracticeHealth Records, PersonalCross-Sectional StudiesElectronicsEthiopiaFemaleHealth PersonnelHumansMalePatient Participationattitudeelectronics personal health record systemEthiopiafactorshealth professionalsknowledge

Identifiers

PMID37006546
PMCPMC10050470

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LicenceCC BY
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