Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành y học dành cho các bạn tham khảo đề tài: Data for improvement and clinical excellence: protocol for an audit with feedback intervention in long-term care | Sales and Schalm Implementation Science 2010 5 74 http content 5 1 74 Implementation Science IMPLEMENTATION SCIENCE STUDY PROTOCOL Open Access Data for improvement and clinical excellence protocol for an audit with feedback intervention in long-term care Anne E Sales 1 Corinne Schalm2 Abstract Background There is considerable evidence about the effectiveness of audit coupled with feedback although few audit with feedback interventions have been conducted in long-term care LTC settings to date. In general the effects have been found to be modest at best although in settings where there has been little history of audit and feedback the effects may be greater at least initially. The primary purpose of the Data for Improvement and Clinical Excellence DICE Long-Term Care project is to assess the effects of an audit with feedback intervention delivered monthly over 13 months in four LTC facilities. The research questions we addressed are 1. What effects do feedback reports have on processes and outcomes over time 2. How do different provider groups in LTC and home care respond to feedback reports based on data targeted at improving quality of care Methods design The research team conducting this study comprises researchers and decision makers in continuing care in the province of Alberta Canada. The intervention consists of monthly feedback reports in nine LTC units in four facilities in Edmonton Alberta. Data for the feedback reports comes from the Resident Assessment Instrument Minimum Data Set RAI version a standardized instrument mandated for use in LTC facilities throughout Alberta. Feedback reports consist of one page front and back presenting both graphic and textual information. Reports are delivered to all staff working in the four LTC facilities. The primary evaluation uses a controlled interrupted time series design both adjusted and unadjusted for covariates. The concurrent process evaluation uses observation and self-report
