Published August 28, 2013 | Version v1
Journal article Open

Telemedicine Adoption Rates and Patient Outcomes Measurement in Moroccan Rural Counties: A Methodological Framework

  • 1. Department of Software Engineering, Jimma University
  • 2. Jimma University
  • 3. Department of Artificial Intelligence, Africa Centers for Disease Control and Prevention (Africa CDC), Addis Ababa

Description

Telemedicine has emerged as a critical tool for healthcare delivery in remote and underserved areas, particularly in Africa where infrastructure challenges hinder traditional medical services. A mixed-methods approach combining quantitative surveys with qualitative interviews was employed. Data were collected from a stratified random sample of healthcare facilities and randomly selected patients, ensuring representation across different counties. Patient outcomes were measured using standardised health assessment tools. Initial findings indicate that telemedicine adoption rates vary significantly by county (ranging from 20% to 65%) with higher usage in areas closer to urban centers. Among those who use telemedicine, there is a noticeable improvement in patient satisfaction scores (mean increase of 18%, CI: [9, 30]) compared to non-users. This study provides insights into the dynamics of telemedicine adoption and its impact on patients' health outcomes in rural Moroccan settings. The mixed-methods design offers a robust framework for future research and policy development. Policy makers are encouraged to support infrastructure improvements, including broadband connectivity, while also promoting public awareness campaigns about the benefits of telemedicine. Telemedicine, Rural Healthcare, Patient Outcomes, Mixed-Methods Research Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.

Files

zenodo.19006083.pdf

Files (103.9 kB)

Name Size Download all
md5:d5fe0df1abe0ae59b7214f6d1199662e
18.8 kB Download
md5:dbab8a54088e867c916b901803028e20
85.2 kB Preview Download