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首页> 外文期刊>Journal of medical Internet research >Digital Recruitment and Acceptance of a Stepwise Model to Prevent Chronic Disease in the Danish Primary Care Sector: Cross-Sectional Study
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Digital Recruitment and Acceptance of a Stepwise Model to Prevent Chronic Disease in the Danish Primary Care Sector: Cross-Sectional Study

机译:丹麦初级保健部门预防慢性病的逐步模型的数字招募和接受:跨部门研究

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BackgroundDuring recent years, stepwise approaches to health checks have been advanced as an alternative to general health checks. In 2013, we set up the Early Detection and Prevention project (Tidlig Opsporing og Forebyggelse, TOF) to develop a stepwise approach aimed at patients at high or moderate risk of a chronic disease. A novel feature was the use of a personal digital mailbox for recruiting participants. A personal digital mailbox is a secure digital mailbox provided by the Danish public authorities. Apart from being both safe and secure, it is a low-cost, quick, and easy way to reach Danish residents.ObjectiveIn this study we analyze the association between the rates of acceptance of 2 digital invitations sent to a personal digital mailbox and the sociodemographic determinants, medical treatment, and health care usage in a stepwise primary care model for the prevention of chronic diseases.MethodsWe conducted a cross-sectional analysis of the rates of acceptance of 2 digital invitations sent to randomly selected residents born between 1957 and 1986 and residing in 2 Danish municipalities. The outcome was acceptance of the 2 digital invitations. Statistical associations were determined by Poisson regression. Data-driven chi-square automatic interaction detection method was used to generate a decision tree analysis, predicting acceptance of the digital invitations.ResultsA total of 8814 patients received an invitation in their digital mailbox from 47 general practitioners. A total of 40.22% (3545/8814) accepted the first digital invitation, and 30.19 % (2661/8814) accepted both digital invitations. The rates of acceptance of both digital invitations were higher among women, older patients, patients of higher socioeconomic status, and patients not diagnosed with or being treated for diabetes mellitus, chronic obstructive pulmonary disease, or cardiovascular disease.ConclusionsTo our knowledge, this is the first study to report on the rates of acceptance of digital invitations to participate in a stepwise model for prevention of chronic diseases. More studies of digital invitations are needed to determine if the acceptance rates seen in this study should be expected from future studies as well. Similarly, more research is needed to determine whether a multimodal recruitment approach, including digital invitations to personal digital mailboxes will reach hard-to-reach subpopulations more effectively than digital invitations only.
机译:背景技术近年来,作为常规健康检查的替代方法,已经提出了逐步进行健康检查的方法。 2013年,我们设立了早期发现和预防项目(Tidlig Opsporing og Forebyggelse,TOF),以开发针对高或中度慢性病风险患者的分阶段方法。一种新颖的功能是使用个人数字邮箱招募参与者。个人数字邮箱是丹麦公共当局提供的安全数字邮箱。除了安全可靠之外,它还是一种低成本,快速,便捷的联系丹麦居民的方法。目的在本研究中,我们分析了发送到个人数字邮箱的2个数字邀请的接受率与社会人口统计学之间的关系。方法,决策方法,医学治疗和卫生保健在逐步预防慢性病的初级保健模型中的应用方法我们对发送给1957年至1986年之间居住的随机选择居民的2份数字邀请的接受率进行了横断面分析在2个丹麦城市中。结果是接受了2个数字邀请。统计关联通过泊松回归确定。使用数据驱动的卡方自动交互检测方法生成决策树分析,预测接受数字邀请。结果共有8814位患者从其47位全科医生的数字邮箱中收到了邀请。共有40.22%(3545/8814)接受了第一个数字邀请,有30.19%(2661/8814)接受了两个数字邀请。在女性,老年患者,社会经济地位较高的患者以及未经诊断或未接受糖尿病,慢性阻塞性肺病或心血管疾病治疗的患者中,两种数字化邀请的接受率都较高。第一项研究报告了数字邀请参加慢性病预防分阶段模型的接受率。需要进行更多的数字邀请函研究,以确定是否应该从未来的研究中预期该研究中的接受率。同样,需要进行更多的研究来确定一种多模式招聘方法(包括发给个人数字邮箱的数字邀请)是否比仅数字邀请更有效地到达难以到达的子群体。

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