Abstract
Purpose: This study investigated the access to and disparities in telemedicine use among patients with chronic conditions in RiyadhSaudi Arabia. Patients and Methods: A cross-sectional study of randomly selected primary healthcare centers was conducted to ensure that each of the 17 municipalities in Riyadh were represented. Three hundred and forty-two participants who completed the questionnaire were interviewed using a standardized questionnaire. The relationship between demographic and socioeconomic factors and telemedicine utilization was evaluated using the chi-square test and multivariable mixed-effects logistic regression model. Results: Among the 342 participants, the study revealed that 25.73% of the patients utilized telemedicine. Older participants had lower odds of telemedicine use than did those aged ≤ 30 years [adjusted odds ratio (AOR) = 0.112, 95% confidence interval (CI) = 0.045–0.279 for 50–59 years; AOR = 0.19, 95% CI = 0.076–0.474 for 60–69 years; AOR = 0.223, 95% CI = 0.092–0.542 for ≥ 70 years]. Female sex (AOR = 2.519, 95% CI = 1.44–4.408), having a higher education level (AOR = 3.434, 95% CI = 1.037–7.041 for secondary education and AOR = 5.87, 95% CI = 2.761–8.235 for higher education), and living in urban areas (AOR = 2.721, 95% CI = 1.184–6.256) were associated with higher odds of telemedicine use. Among socioeconomic factors, employed participants had higher odds of telemedicine use (AOR = 4.33695% CI = 2.3–8.174). Furthermore, compared to those with the highest socioeconomic status (SES) index, those with the lowest SES were less likely to use telemedicine than those with the highest SES index (AOR = 0.193, 95% CI = 0.055–0.683 for the lower bottom (poorest)Conclusion: This study highlights a significant disparity in the utilization of telemedicine services across different populationsprimarily due to demographic and socioeconomic factors.
Original language | English |
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Pages (from-to) | 3789-3798 |
Number of pages | 10 |
Journal | Journal of Multidisciplinary Healthcare |
Volume | 16 |
DOIs | |
State | Published - 2023 |
Keywords
- digital health
- healthcare system
- inequities
- socioeconomic