University of Southern Denmark, Denmark.
Health Informatics J. 2017 Dec;23(4):249-259. doi: 10.1177/1460458216645149. Epub 2016 May 31.
Early detection of patients at risk seems to be effective for reducing the prevalence of lifestyle-related chronic diseases. We aim to test the feasibility of a novel intervention for early detection of lifestyle-related chronic diseases based on a population-based stratification using a combination of questionnaire and electronic patient record data. The intervention comprises four elements: (1) collection of information on lifestyle risk factors using a short 15-item questionnaire, (2) electronic transfer of questionnaire data to the general practitioners' electronic patient records, (3) identification of patients already diagnosed with a lifestyle-related chronic disease, and (4) risk estimation and stratification of apparently healthy patients using questionnaire and electronic patient record data on validated risk estimation models. We show that it is feasible to implement a novel intervention that identifies and stratifies patients for further examinations in general practice or behaviour change interventions at the municipal level without any additional workload for the general practitioner.
早期发现高危患者似乎可以有效降低与生活方式相关的慢性病的发病率。我们旨在通过基于问卷调查和电子病历数据的组合进行人群分层,测试一种基于人群分层的新型生活方式相关慢性病早期检测干预措施的可行性。该干预措施包括四个要素:(1)使用简短的 15 项问卷收集生活方式危险因素信息,(2)将问卷数据电子传输到全科医生的电子病历中,(3)识别已经诊断出患有生活方式相关慢性病的患者,(4)使用问卷和电子病历数据,基于经过验证的风险评估模型,对看似健康的患者进行风险估计和分层。我们表明,在不增加全科医生工作量的情况下,在市级层面实施一种新型干预措施来识别和分层需要进一步检查或行为改变干预的患者是可行的。