Azizi Amirabbas, Aboutorabi Robab, Mazloum-Khorasani Zahra, Hoseini Benyamin, Tara Mahmood
Dept. 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.
Dept. of Endocrinology, Endocrine Research Center, Metabolic Syndrome Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
Iran J Public Health. 2016 Nov;45(11):1388-1398.
Diabetes disease is one of the 4 main types of non-communicable diseases. No research has been conducted in order to identify data items for Diabetic Personal Health Record (DPHR), in Iran. This study, with the aim of systematically developing the DPHR was done to supply ultimately the country with a national model through Delphi method.
We conducted a systematic review of the literature using the following electronic databases: PubMed, Web of sciences, Scopus, Science Direct, and ACM digital library. The year of the study included the obtained articles was 2013. We used a 3-step method to identify studies related to DPHR. Study selection processes were performed by two reviewers independently. The eligible studies were included in this review. Quality of studies was assessed using a mixed approach scoring system. Reviewers used 2-step method for the validation of the final DPHR model.
Initially, 2011 papers were returned from online databases and 186 studies from gray literature search. After removing duplicates, study screening, and applying inclusion and exclusion criteria, 129 studies were eligible for further full-text review. Considering the full-text review, 34 studies were identified for final review. Given the content of selected studies, we determined seven main classes of DPHR. The highest score belongs to home monitoring data class by mean of 19.83, and the lowest was general data class by mean of 3.89.
Together with representative sample of endocrinologist in Iran achieved consensus on a DPHR model to improve self-care for diabetic patients and to facilitate physician decision making.
糖尿病是四大主要非传染性疾病之一。伊朗尚未开展过旨在确定糖尿病个人健康记录（DPHR）数据项的研究。本研究旨在通过德尔菲法系统地开发DPHR，最终为该国提供一个全国性模型。
我们使用以下电子数据库对文献进行了系统综述：PubMed、科学网、Scopus、科学Direct和ACM数字图书馆。纳入研究的年份为2013年。我们采用三步法来识别与DPHR相关的研究。研究选择过程由两名评审员独立进行。符合条件的研究被纳入本综述。使用混合方法评分系统评估研究质量。评审员采用两步法对最终的DPHR模型进行验证。
最初，从在线数据库返回了2011篇论文，从灰色文献搜索中返回了186项研究。在去除重复项、进行研究筛选并应用纳入和排除标准后，有129项研究符合进一步全文审查的条件。考虑全文审查，确定了34项研究进行最终审查。根据所选研究的内容，我们确定了DPHR的七个主要类别。得分最高的是家庭监测数据类别，平均分为19.83，得分最低的是一般数据类别，平均分为3.89。
伊朗内分泌学家的代表性样本共同就一个DPHR模型达成了共识，以改善糖尿病患者的自我护理并促进医生决策。
