Process evaluation of the data-driven quality improvement in primary care (DQIP) trial: active and less active ingredients of a multi-component complex intervention to reduce high-risk primary care prescribing
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- 作者：Aileen Grant ; Tobias Dreischulte ; Bruce Guthrie
- 关键词：General practice ; Family practice ; Prescribing ; Quality and safety ; Randomised controlled trials ; Process evaluation
- 刊名：Implementation Science
- 出版年：2017
- 出版时间：December 2017
- 年：2017
- 卷：12
- 期：1
- 全文大小：745KB
- 刊物主题：Health Promotion and Disease Prevention; Health Administration; Health Informatics; Public Health;
- 出版者：BioMed Central
- ISSN：1748-5908
- 卷排序：12
文摘
BackgroundTwo to 4% of emergency hospital admissions are caused by preventable adverse drug events. The estimated costs of such avoidable admissions in England were £530 million in 2015. The data-driven quality improvement in primary care (DQIP) intervention was designed to prompt review of patients vulnerable from currently prescribed non-steroidal anti-inflammatory drugs (NSAIDs) and anti-platelets and was found to be effective at reducing this prescribing. A process evaluation was conducted parallel to the trial, and this paper reports the analysis which aimed to explore response to the intervention delivered to clusters in relation to participants’ perceptions about which intervention elements were active in changing their practice.