Research Unit for General Practice, Department of Public Health, University of Southern Denmark, Odense, Denmark
Research Unit for General Practice, Department of Public Health, University of Southern Denmark, Odense, Denmark.
BMJ Open. 2023 Jul 27;13(7):e073229. doi: 10.1136/bmjopen-2023-073229.
Out-of-hours primary care services cannot provide the same continuity and coordination of care as general practice. Thus, patients with high risk of complex care trajectories should, when possible, be treated by the general practitioner during daytime opening hours. This study aims to analyse the variation among general practices in the frequencies of daytime services for persons aged ≥75 years and how it relates to the patients' use of out-of-hours services.
Register-based cohort study of all Danish citizens aged ≥75 years, of whom >98% are listed with a general practice. Using Poisson regression, we will estimate each practice's excess variation in delivered daytime services compared with the expected based on the characteristics of its listed patients. Delivered daytime services will be analysed overall and separately for face-to-face, phone, email, home visit and preventive services. The association with the use of out-of-hours services will be analysed by Poisson regression.
Complying with European data protection rules, the legal services at University of Southern Denmark (Research & Innovation Organisation) approved the data processing activities regarding this project (journal number 11.593). According to section 14.2 of the Act on Research Ethics Review of Health Research Projects, because the study is based solely on register data, approval from the ethics committee and informed consent are not required. Results from the study will be disseminated as publications in peer-reviewed scientific journals and at international conferences.
非工作时间的初级保健服务无法提供与全科医生相同的连续性和协调性的护理。因此,具有高风险复杂护理轨迹的患者应尽可能在全科医生的日间工作时间内接受治疗。本研究旨在分析日间服务频率在各普通实践中的差异,以及这种差异如何与患者对非工作时间服务的使用相关。
这是一项基于注册的队列研究,研究对象为所有 75 岁及以上的丹麦公民,其中>98%的人在普通诊所登记。我们将使用泊松回归,根据其登记患者的特征,估计每个实践提供的日间服务的实际数量与预期数量之间的超额差异。将对日间服务进行整体分析,并分别对面诊、电话、电子邮件、家访和预防服务进行分析。将通过泊松回归分析与非工作时间服务使用的关联。
遵守欧洲数据保护规则,丹麦南大学(研究与创新组织)的法律部门批准了该项目的数据处理活动(期刊编号 11.593)。根据《健康研究项目研究伦理审查法》第 14.2 条的规定,由于该研究仅基于登记数据,因此不需要伦理委员会的批准和知情同意。该研究的结果将以同行评议的科学期刊上的出版物和国际会议上的报告形式传播。