Internal Medicine and Medical Investigation Journal

ISSN: 2474-7750

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

Abstract

Author(s): Masoomeh Rahimi Alami, Mahdieh Nemayande, Omid Yousefianzadeh, Mahnaz Samadbeik, Amir Abbas Azizi, Robabeh Motaghedi, Atefeh Zare, Samaneh Ghasemian, Abbas Barzegar1, 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 and Analysis: 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, Organizational 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 Health Technology Assessment (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

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