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Diabetic Personal Health Record: A Systematic Review Article
Amirabbas Azizi1, Robab Aboutorabi2, Zahra Mazloum-Khorasani2
1Dept. of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran; Dept. of Health Information Technology, School of Paramedicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
This study developed a national model for Diabetic Personal Health Records (DPHR) in Iran. The model, created using the Delphi method, aims to enhance self-care for diabetic patients and aid physician decision-making.
Area of Science:
- Health Informatics
- Medical Informatics
- Public Health
Background:
- Diabetes mellitus is a leading non-communicable disease globally.
- No prior research existed on Diabetic Personal Health Record (DPHR) data items in Iran.
- A national DPHR model was systematically developed for Iran using the Delphi method.
Approach:
- A systematic literature review was conducted across major databases (PubMed, Web of Science, Scopus, Science Direct, ACM).
- A 3-step method identified relevant DPHR studies, with independent review and quality assessment.
- A 2-step validation process and Delphi method ensured consensus on the final DPHR model.
Key Points:
- An initial search yielded 2011 papers, refined to 34 studies after rigorous screening.
- Seven main classes of DPHR data were identified.
- Home monitoring data received the highest score (19.83), while general data scored lowest (3.89).
Conclusions:
- A consensus DPHR model was established with Iranian endocrinologists.
- The model is designed to improve diabetic patient self-care.
- The DPHR model aims to facilitate clinical decision-making for physicians treating diabetic patients.
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