Evidence map›Paper›PMID 37440563›Full record

ArticlePloS one2023

Utilization of mobile health applications and determinant factors among health science students at Debre Markos University, northwest Ethiopia in 2022.

Gizaw Hailiye Teferi, Maru Meseret Tadele, Getaye Tizazu, Zegeye Regasa Hordofa, Aynadis Worku Shimie, Bayou Tilahun Assaye, Andualem Fentahun Senishaw, Sefefe Birhanu Tizie

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In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 3 pooled it
–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

7 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Inequalities in Exclusively Mobile Interventions Targeting Weight-Related Behaviors: Systematic Review of Observational Studies.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026
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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

8 authors.

Gizaw Hailiye TeferiHealth Informatics Department, College of Health Science, Debre Markos University, Debre Markos, Ethiopia.ORCID 0000-0002-8187-2366
Maru Meseret TadeleHealth Informatics Department, College of Health Science, Debre Markos University, Debre Markos, Ethiopia.
Getaye TizazuHealth Informatics Department, College of Health Science, Debre Markos University, Debre Markos, Ethiopia.
Zegeye Regasa HordofaHealth Informatics Department, College of Health Science, Debre Markos University, Debre Markos, Ethiopia.
Aynadis Worku ShimieHealth Informatics Department, College of Health Science, Debre Markos University, Debre Markos, Ethiopia.
Bayou Tilahun AssayeHealth Informatics Department, College of Health Science, Debre Markos University, Debre Markos, Ethiopia.
Andualem Fentahun SenishawHealth Informatics Department, College of Health Science, Debre Markos University, Debre Markos, Ethiopia.
Sefefe Birhanu TizieHealth Informatics Department, College of Health Science, Debre Markos University, Debre Markos, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHigh penetration of smartphones and ownership among the young generation increased the utilization of mobile health applications for health management among university students more than ever. Compared to other health service provision mechanisms mobile health service has higher advantages in promoting a healthy lifestyle since it is not limited to time and space. Even though there are numerous studies conducted in the area of mobile health utilization, this phenomenon is not well studied among university students in Ethiopia, Hence this study aims to determine the level of mobile health applications utilization among health science students.

methodA cross-sectional study was carried out at Debre Markos University from April 05 to June 25, 2022 among health science students. For this study, 423 students were recruited from health Science College using a systematic sampling method. The data was gathered using a self-administered questionnaire. Using SPSS version 26 software descriptive analysis, bivariate and multivariable logistic regressions were performed. A P-value of .05 at a 95% confidence interval was considered statistically significant. The questionnaire's validity was determined by expert opinion, and by calculating its reliability using cronbach alpha (α = .78).

resultThis study revealed that more than half 59% (144/244) of the study participants have installed and utilized 1-3 health-related apps. Among the students who have mobile health applications 38.6% utilize mobile health application several times a day while only 2.1% utilized rarely. Usage history shows that 40% of the study participants utilized the applications for a year, while 15.4% of the students utilized them for more than 2 years. Easiness of applications (AOR = 4.8, 95%CI: [2.1-11.2]), skill AOR = 4.2, 95%CI: [3.8-12]) and trust (AOR = 2.8, 95%CI: [1.6-4.8]) were among the factors that were associated with mobile health applications utilization. Students were asked about the barriers that limit the use mobile health applications and self-reported barriers includes Lack of knowledge and awareness of application benefits, and Lack of adequate time to use applications.

conclusionThe study shows that mobile health applications utilization is moderate relative to previous studies. Mobile health application developers for the young generation should consider healthy lifestyle related applications like fitness and weight loss apps.

Indexed as

StudentsCross-Sectional StudiesEthiopiaHumansReproducibility of ResultsUniversities

Identifiers

PMID37440563
PMCPMC10343100

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LicenceCC BY
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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.