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

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          Abstract

          Background

          High 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.

          Method

          A 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).

          Result

          This 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.

          Conclusion

          The 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.

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          Most cited references33

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          How to Calculate Sample Size for Different Study Designs in Medical Research?

          Calculation of exact sample size is an important part of research design. It is very important to understand that different study design need different method of sample size calculation and one formula cannot be used in all designs. In this short review we tried to educate researcher regarding various method of sample size calculation available for different study designs. In this review sample size calculation for most frequently used study designs are mentioned. For genetic and microbiological studies readers are requested to read other sources.
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            Sample size calculation in medical studies

            Optimum sample size is an essential component of any research. The main purpose of the sample size calculation is to determine the number of samples needed to detect significant changes in clinical parameters, treatment effects or associations after data gathering. It is not uncommon for studies to be underpowered and thereby fail to detect the existing treatment effects due to inadequate sample size. In this paper, we explain briefly the basic principles of sample size calculations in medical studies.
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              Health App Use Among US Mobile Phone Owners: A National Survey

              Background Mobile phone health apps may now seem to be ubiquitous, yet much remains unknown with regard to their usage. Information is limited with regard to important metrics, including the percentage of the population that uses health apps, reasons for adoption/nonadoption, and reasons for noncontinuance of use. Objective The purpose of this study was to examine health app use among mobile phone owners in the United States. Methods We conducted a cross-sectional survey of 1604 mobile phone users throughout the United States. The 36-item survey assessed sociodemographic characteristics, history of and reasons for health app use/nonuse, perceived effectiveness of health apps, reasons for stopping use, and general health status. Results A little over half (934/1604, 58.23%) of mobile phone users had downloaded a health-related mobile app. Fitness and nutrition were the most common categories of health apps used, with most respondents using them at least daily. Common reasons for not having downloaded apps were lack of interest, cost, and concern about apps collecting their data. Individuals more likely to use health apps tended to be younger, have higher incomes, be more educated, be Latino/Hispanic, and have a body mass index (BMI) in the obese range (all P<.05). Cost was a significant concern among respondents, with a large proportion indicating that they would not pay anything for a health app. Interestingly, among those who had downloaded health apps, trust in their accuracy and data safety was quite high, and most felt that the apps had improved their health. About half of the respondents (427/934, 45.7%) had stopped using some health apps, primarily due to high data entry burden, loss of interest, and hidden costs. Conclusions These findings suggest that while many individuals use health apps, a substantial proportion of the population does not, and that even among those who use health apps, many stop using them. These data suggest that app developers need to better address consumer concerns, such as cost and high data entry burden, and that clinical trials are necessary to test the efficacy of health apps to broaden their appeal and adoption.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: SoftwareRole: SupervisionRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: Formal analysisRole: MethodologyRole: Writing – original draftRole: Writing – review & editing
                Role: MethodologyRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: MethodologyRole: SupervisionRole: ValidationRole: Writing – original draftRole: Writing – review & editing
                Role: MethodologyRole: SoftwareRole: Writing – original draftRole: Writing – review & editing
                Role: Data curationRole: Writing – original draftRole: Writing – review & editing
                Role: Data curationRole: MethodologyRole: Writing – original draftRole: Writing – review & editing
                Role: MethodologyRole: SoftwareRole: Writing – original draftRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                PLOS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                13 July 2023
                2023
                : 18
                : 7
                : e0275689
                Affiliations
                [001] Health Informatics Department, College of Health Science, Debre Markos University, Debre Markos, Ethiopia
                University of Science and Technology of Fujairah, YEMEN
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0002-8187-2366
                Article
                PONE-D-22-24514
                10.1371/journal.pone.0275689
                10343100
                3e706e5e-ef26-47e7-8fbe-f7ef20b74be5
                © 2023 Hailiye Teferi et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 5 November 2022
                : 30 June 2023
                Page count
                Figures: 4, Tables: 2, Pages: 13
                Funding
                The author(s) received no specific funding for this work.
                Categories
                Research Article
                Medicine and Health Sciences
                Computer and Information Sciences
                Software Engineering
                Computer Software
                Apps
                Engineering and Technology
                Software Engineering
                Computer Software
                Apps
                Engineering and Technology
                Equipment
                Communication Equipment
                Cell Phones
                Medicine and Health Sciences
                Public and Occupational Health
                Behavioral and Social Aspects of Health
                Medicine and Health Sciences
                Health Care
                Communication in Health Care
                Social Sciences
                Economics
                Health Economics
                Medicine and Health Sciences
                Health Care
                Health Economics
                Research and Analysis Methods
                Database and Informatics Methods
                Health Informatics
                Computer and Information Sciences
                Computer Architecture
                User Interfaces
                Custom metadata
                All relevant data are within the paper and its Supporting information files.

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                Uncategorized

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