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Exploring the transparency mechanism and evaluating the effect of public reporting on prescription: a protocol for a cluster randomized controlled trial

机译:探索透明机制,评价公开报告对处方的影响:群体随机对照试验的议定书

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Background The public reporting of health outcomes has become one of the most popular topics and is accepted as a quality improvement method in the healthcare field. However, little research has been conducted on the transparency mechanism, and results are mixed with regard to the evaluation of the effect of public reporting on quality improvement. The objectives of this trial are to investigate the transparency mechanism and to evaluate the effect of public reporting on prescription at the level of individual participants. Methods/Design This study involves a cluster randomized controlled trial conducted in 20 primary-care facilities (clusters). Eligible clusters are those facilities with excellent hospital information systems and that have agreed to participate in the trial. The 20 clusters are matched into 10 pairs according to Technique for Order Preference by Similarity to Ideal Solution score. As the unit of randomization, each pair of facilities is assigned at random to a control or an intervention group through coin flipping. Prescribed ranking information is publicly reported in the intervention group. The public materials include the posters of individuals and of facilities, the ranking lists of general practitioners, and brochures of patients, which are updated monthly. The intervention began on 13th November 2013 and lasted for one year. Specifically, participants are surveyed at five points in time (baseline, quarterly following the intervention) through questionnaires, interviews, and observations. These participants include an average of 600 patients, 300 general practitioners, 15 directors, and 6 health bureau administrators. The primary outcomes are the transparency mechanism model and the changes in medicine-prescribe. Subsequently, the modifications in the transparency mechanism constructs are evaluated. The outcomes are measured at the individual participant level, and the professional who analyzes the data is blind to the randomization status. Discussion This study protocol outlines a design that aims to examine the transparency mechanism and to evaluate the effect of public reporting on prescription. The research design is significant in the field of public policy. Furthermore, this study intends to fill the gap of the investigation of the transparency mechanism and the evaluation of public reporting on prescription.
机译:背景技术卫生成果的公众报告已成为最受欢迎的主题之一,并被接受为医疗领域的质量改进方法。然而,在透明度机制上进行了很少的研究,结果与评估公众报告质量改善的影响的评估。该审判的目标是调查透明机制,并评估公众报告在个人参与者水平上的处方作用。方法/设计本研究涉及在20个初级保管机构(集群)中进行的集群随机对照试验。符合条件的集群是具有优秀医院信息系统的设施,并同意参加审判。根据相似性与理想解决方案得分的顺序偏好,将20个簇匹配为10对。作为随机化的单位,每对设施随机分配给控制或通过硬币翻转进行控制或干预组。规定的排名信息在干预组中公开报告。公共材料包括个人和设施的海报,一般从业者的排名列表,以及每月更新的患者的小册子。干预始于2013年11月13日并持续一年。具体而言,通过调查问卷,访谈和观察,参与者在五个时间点(基线,季度季度季度)进行调查。这些参与者包括平均600名患者,300名全科医生,15名董事和6名卫生局管理者。主要结果是透明机制模型和医学规定的变化。随后,评估透明机构构建体中的修改。结果在个人参与者级别测量,分析数据的专业人员对随机化状态视而不见。讨论本研究方案概述了旨在审查透明机制的设计,并评估公众报告对处方的影响。研究设计在公共政策领域是显着的。此外,本研究打算填补调查透明机制调查的差距和公开报告处方报告。

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