Variability among Physicians in Risk Stratification for People with Diabetes during Ramadan Fasting

B. Afandi, M. Hassanein, S. Shaikh, G. Ibrahim, M. Alarouj
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引用次数: 1

Abstract

Introduction: A novel clinical calculator was developed to assist physicians in classifying the risk for individuals with diabetes planning to observe fasting during the holy month of Ramadan. The aim of this study was to evaluate the necessity to use this approach. Methods: A survey with twenty-six clinical scenario questions was developed. All cases were pre-scored using the proposed Diabetes and Ramadan Risk Calculator. The survey was sent to 350 reputable practicing physicians with considerable expertise in managing patients with diabetes. The survey sought expert opinion on patients’ risk classification during Ramadan fasting. Quantitative methods were used for data analysis. Results: Responses of 312 participants were valid for analysis. There was a wide variation in evaluating patients’ risk, particularly in moderate-risk cases. Overall, responses to case scenarios were classified correctly with 33–85% variation in correct response. Geographical and inter-specialty differences were noted. Conclusion: There is a broad variation among physicians on how to estimate the risk for patients with diabetes planning to fast during the month of Ramadan. A practical method using many variables might help physicians in the decision making.
医生对斋月禁食期间糖尿病患者风险分层的差异
一种新型的临床计算器被开发出来,以帮助医生对计划在斋月期间禁食的糖尿病患者的风险进行分类。本研究的目的是评估使用这种方法的必要性。方法:采用26个临床情景问题进行问卷调查。使用拟议的糖尿病和斋月风险计算器对所有病例进行预评分。该调查被发送给350名在管理糖尿病患者方面具有相当专业知识的知名执业医生。该调查就斋月禁食期间患者的风险分类征求专家意见。采用定量方法对数据进行分析。结果:312名参与者的回答有效。在评估患者风险方面存在很大差异,特别是在中等风险病例中。总体而言,对案例情景的反应被正确分类,正确反应的差异为33-85%。注意到地理和专业间的差异。结论:在如何估计计划在斋月期间禁食的糖尿病患者的风险方面,医生之间存在很大差异。一种使用多种变量的实用方法可能有助于医生的决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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