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Sağlık hizmetlerinde mobil uygulama kullanımının demografik özellikler açısından incelenmesi

Year: 2025
Type: article
Study design: Observational Study
Abstract: This study investigated whether the use of mobile health applications differed according to demographic variables. SPSS for Windows 22.00 and AMOS 24.0 were used in data analysis. The Healthcare Mobile Application Use (HMA) Scale was tested on a sample randomly divided into two subgroups (n1=258, n2=258). Exploratory Factor Analysis (EFA) was applied to the first group, and Confirmatory Factor Analysis (CFA) was applied to the second group. Reliability of the scale was measured using Cronbach's Alpha coefficient, Composite Reliability (CFA), Average Variance Explanation (AVE), and the Split-Half method; validity testing was conducted to assess consistency over time. The existence of significant differences between the total and sub-dimension scores obtained from the HMA scale according to demographic factors was examined using the Independent Samples t-Test and One-Way Analysis of Variance (ANOVA). The standard distribution assumption was tested using skewness and kurtosis values. The results indicate that mobile health applications should be tailored to user profiles and that it is imperative to consider demographic factors such as age and education. This study examined whether the use of mobile applications in healthcare varies according to demographic characteristics. Data were analysed using SPSS for Windows 22.00 and AMOS 24.0. The Healthcare Mobile Applications Use (HMA) Scale was tested with a sample randomly divided into two groups (n1=258, n2=258). Exploratory Factor Analysis (EFA) was performed with the first sample, and Confirmatory Factor Analysis (CFA) was performed with the second sample. The scale's reliability was assessed using Cronbach's Alpha, Composite Reliability, AVE, and Split-Half methods, and time validity was tested. The total and subscale scores obtained from the SHMU scale were analysed for differences based on demographic variables using the Independent Samples t-test and One-Way Analysis of Variance (ANOVA). Normal distribution was checked using skewness and kurtosis coefficients. Based on the findings, it is recommended that mobile health applications be developed with a focus on user needs and that demographic factors, such as age and education level, be taken into account.
DOI: 10.15295/bmij.v13i3.2582
Language: English
Open Access status: diamond
OpenAlex ID: W4414501090
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