Personal Electronic Health Record for Patients with Diabetes; Health Technology Assessment Protocol

MasoomehRahimi Alami, Mahdieh Nemayande, Omid Yousefianzadeh, Mahnaz Samadbeik, Amir Abbas Azizi, Robabeh Motaghedi, Atefeh Zare, Samaneh Ghasemian, Abbas Barzegar, Vahid Gholampour, Hamidreza Dehghan


Introduction: In recent decades, diabetes has contributed significantly to the burden of disease in developed and developing countries, due to the considerable prevalence and involvement of various age groups in the communities.Today, a variety of ways to manage and control the disease are used, one of which is the use of personal electronic health records. Recently there has been a remarkable upsurge in activity surrounding the adoption of personal electronic health records systems for patients and consumers. personal electronic health records systems are more than just static repositories for patient data; they combine data, knowledge, and software tools, which help patients to become active participants in their own care.The present study was conducted with the goal of Health Technology Assessment the impact of personal electronic health records in Patients with Diabetes.

Methods: Writing is based on PRISMA standards.  This was a Health Technology Assessment  study. It aimed to evaluate the technology of personal electronic health record . The scoping review was conducted to evaluate 8 dimensions (Health Problem and Current Use of the Technology, Description and technical characteristics of technology, Safety, Costs and economic evaluation, Ethical analysis, Organisational aspects, Patients and Social aspects, Legal aspects) of  Personal electronic health record . This study was based on answering questions which were developed based on Health Diagnostics Technology Assessment Documents Framework and HTA Core Model 3.0 . A systematic review was conducted to evaluate the Clinical Effectiveness dimension of personal electronic health record  in controlling diabetes. In order to gather evidences, Ovid databases, Cochrane Library, PubMed, CRD, Trip database and EMBASE, and Randomized Controlled Trial Registries, such as the Clinical Trial and Trial Registry, were searched using specific keywords and strategies. .Articles are evaluated on the basis of the quality criteria of JADAD.The data is analyzed by the STATA software.

Dissemination:The results of the study will be published in a peer-reviewed journal and presented at relevant conferences.Policy makers and healthcare decision-makers can use these results.


Diabetes, personal electronic health record , Health Technology Assessment, Effectiveness, Systematic Review, Meta-Analysis

Full Text:



Zimmet P. Diabetes epidemiology as a tool to trigger diabetes research and care. Diabetologia. 1999;42(5):499-518.

Pradeepa R, Mohan V. The changing scenario of the diabetes epidemic implications for India. Indian Journal of Medical Research. 2002;116:121.

Mohan V, Sandeep S, Deepa R, Shah B, Varghese C. Epidemiology of type 2 diabetes: Indian scenario. Indian Journal of medical Research. 2007;125(3):217.

Peesa JP. Herbal medicine for diabetes mellitus: A review. International Journal of Phytopharmacy. 2013;3(1):01-22.

Hegazi R, El-Gamal M, Abdel-Hady N, Hamdy O. Epidemiology of and Risk Factors for Type 2 Diabetes in Egypt. Annals of global health. 2015;81(6):814-20.

Guariguata L, Whiting D, Hambleton I, Beagley J, Linnenkamp U, Shaw J.6 Global estimates of diabetes prevalence for 2013 and projections for 2035. Diabetes research and clinical practice. 2014;103(2):137-49.

Organization WH. The World Health Report 2001: Mental health: new understanding, new hope: World Health Organization; 2001.

Yach D, Stuckler D, Brownell KD. Epidemiologic and economic consequences of the global epidemics of obesity and diabetes. Nature medicine. 2006;12(1):62-6.

Stratton IM, Adler AI, Neil HAW, Matthews DR, Manley SE, Cull CA, et al. Association of glycaemia with macrovascular and microvascular complications of type 2 diabetes (UKPDS 35): prospective observational study. Bmj. 2000;321(7258):405-12.

Alberti KGMM, Zimmet Pf. Definition, diagnosis and classification of diabetes mellitus and its complications. Part 1: diagnosis and classification of diabetes mellitus. Provisional report of a WHO consultation. Diabetic medicine. 1998;15(7):539-53.

Osborn CY, Mayberry LS, Mulvaney SA, Hess R. Patient web portals to improve diabetes outcomes: a systematic review. Current diabetes reports. 2010;10(6):422-35.

Jafari M, Ghazi Asgar M, Dayani Dardashti H, Pour S, Jafari M, Ghazi Asgar M, et al. Effect of educational program on quality of life in diabetic patients. Journal of Health Administration. 2013;16(52):26-36.

Wager KA, Lee FW, Glaser JP. Health care information systems: a practical approach for health care management: John Wiley & Sons; 2017.

Ball MJ, Carla Smith N, Bakalar RS. Personal health records: empowering consumers. J Healthc Inf Manag. 2007;21(1):77.

Archer N, Fevrier-Thomas U, Lokker C, McKibbon KA, Straus SE. Personal health records: a scoping review. Journal of the American Medical Informatics Association. 2011;18(4):515-22.

Safran C, Bloomrosen M, Hammond WE, 16. Labkoff S, Markel-Fox S, Tang PC, et al. Toward a national framework for the secondary use of health data: an American Medical Informatics Association White Paper. Journal of the American Medical Informatics Association. 2007;14(1):1-9.

Single, A, et al, HTAi consumer and patient glossary. health technology assessment international, 2009.


  • There are currently no refbacks.