Evidence map›Paper›PMID 39050924›Full record

ArticleEuropean journal of obstetrics & gynecology and reproductive biology: X2024

Healthcare professionals' willingness to utilize a mobile health application for adverse drug reaction reporting in a limited resource setting: An input for digital health, 2023.

Abiy Tasew Dubale, Abiyu Abadi Tareke, Fikadu Wake Butta, Adamu Ambachew Shibabaw, Ermias Bekele Eniyew, Mohammedjud Hassen Ahmed, Sisay Yitayih Kassie, Addisalem Workie Demsash, Alex Ayenew Chereka, Geleta Nenko Dube and 2 more

Abstract read
In one paragraph

Article in European journal of obstetrics & gynecology and reproductive biology: X, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

12 authors.

Abiy Tasew DubaleDepartment of Health Informatics, College of Health Science, Mattu University, Mattu, Ethiopia.
Abiyu Abadi TarekeDeparment of Monitoring and Evaluation, West Gondar Zonal Health Department, Gondar, Ethiopia.
Fikadu Wake ButtaDepartment of Health Informatics, College of Health Science, Mattu University, Mattu, Ethiopia.
Adamu Ambachew ShibabawDepartment of Health Informatics, College of Health Science, Mattu University, Mattu, Ethiopia.
Ermias Bekele EniyewDepartment of Health Informatics, College of Health Science, Wallo University, Wallo, Ethiopia.
Mohammedjud Hassen AhmedDepartment of Health Informatics, College of Health Science, Mattu University, Mattu, Ethiopia.
Sisay Yitayih KassieDepartment of Health Informatics, College of Health Science, Mattu University, Mattu, Ethiopia.
Addisalem Workie DemsashDepartment of Health Informatics, College of Health Science, Mattu University, Mattu, Ethiopia.
Alex Ayenew CherekaDepartment of Health Informatics, College of Health Science, Mattu University, Mattu, Ethiopia.
Geleta Nenko DubeDepartment of Health Informatics, College of Health Science, Mattu University, Mattu, Ethiopia.
Agmasie Damtew WalleDepartment of Health Informatics, Asrat Woldeyes Health Science Campus, Debre Berhan University, Debre Berhan, Ethiopia.
Gemeda Wakgari KitilDepartment of Midwifery, College of Health Science, Mattu University, Mattu, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Adverse drug reactions (ADRs) are a significant public health concern, particularly in limited resource settings where underreporting is prevalent due to various challenges. Mobile health applications (mHealth apps) offer a promising solution to enhance pharmacovigilance by facilitating easier and more efficient ADR reporting. However, despite the increasing availability and use of mHealth apps, there is a lack of evidence on healthcare professionals' willingness to adopt them for ADR reporting in resource-constrained environments. Therefore, this study aimed to assess the willingness of healthcare professionals in Ethiopia to utilize mobile health applications for adverse drug reaction reporting and identify associated factors. Methods: We carried out a cross-sectional study involving 422 healthcare professionals working in institutional settings. We gathered data through a pretested questionnaire that participants completed themselves. We inputted the data using Epi Data V.4.6 and analyzed it using SPSS V.26. Our analysis involved conducting multivariable logistic regression to identify the factors influencing the likelihood of healthcare professionals using mobile applications to report adverse drug reactions. Results: The study involved 389 healthcare professionals. Approximately 301 (77.4 %) of them expressed willingness to utilize mobile applications for reporting adverse drug reactions. The willingness to utilize mobile applications was significantly associated with the type of mobile phone (smart: AOR 3.56; 95 % CI 2.15-5.67), basic computer training (AOR 4.43; 95 % CI 2.27-8.64), mobile health-related training (AOR 1.96; 95 % CI 1.01-3.79), attitude (AOR 4.01; 95 % CI 2.19-7.35), perceived ease of use (AOR 2.91; 95 % CI 1.59-5.23), and perceived usefulness (AOR 2.10; 95 % CI 1.15-3.85). Conclusions: Overall, there was a high proportion of healthcare professionals willing to use mobile devices for reporting drug adverse reactions. Their willingness correlated with factors such as the type of mobile phone, perceived ease of use, attitude, training, and perceived usefulness of mobile applications. With the increasing use of smartphones, motivation among healthcare professionals is rising. Basic computer and mHealth-related training are crucial for enhancing the acceptability of such applications and should be incorporated into future implementations. Taking these factors into account could offer insights into the design and implementation of mobile applications for adverse drug reactions in Ethiopia.

Indexed as

Adverse drug reactionEthiopiaHealthcare professionalsMHealth application

Identifiers

PMID39050924
PMCPMC11268114

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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.