Giles Sally, Panagioti Maria, Hernan Andrea, Cheraghi-Sohi Sudeh, Lawton Rebecca
NIHR Greater Manchester Primary Care Patient Safety Translational Research Centre, University of Manchester, Suite 11, 7th floor, Williamson Building, Oxford Road, Manchester, M13 9PL, UK.
Centre for Primary Care, University of Manchester, Oxford Road, Manchester, M13 9PL, UK.
Syst Rev. 2015 May 7;4:63. doi: 10.1186/s13643-015-0052-0.
Organisations need to systematically identify contributory factors (or causes) which impact on patient safety in order to effectively learn from error. Investigations of error have tended to focus on taking a reactive approach to learning from error, mainly relying on incident-reporting systems. Existing frameworks which aim to identify latent causes of error rely almost exclusively on evidence from non-healthcare settings. In view of this, the Yorkshire Contributory Factors Framework (YCFF) was developed in the hospital setting. Eighty-five percent of healthcare contacts occur in primary care. As a result, this review will build on the work that produced the YCFF, by examining the empirical evidence that relates to the contributory factors of error within a primary care setting.
METHODS/DESIGN: Four electronic bibliographic databases will be searched: MEDLINE, Embase, PsycInfo and CINAHL. The database search will be supplemented by additional search methodologies including citation searching and snowballing strategies which include reviewing reference lists and reviewing relevant journal table of contents, that is, BMJ Quality and Safety. Our search strategy will include search combinations of three key blocks of terms. Studies will not be excluded based on design. Included studies will be empirical studies conducted in a primary care setting. They will include some description of the factors that contribute to patient safety. One reviewer (SG) will screen all the titles and abstracts, whilst a second reviewer will screen 50% of the abstracts. Two reviewers (SG and AH) will perform study selection, quality assessment and data extraction using standard forms. Disagreements will be resolved through discussion or third party adjudication. Data to be collected include study characteristics (year, objective, research method, setting, country), participant characteristics (number, age, gender, diagnoses), patient safety incident type and characteristics, practice characteristics and study outcomes.
The review will summarise the literature relating to contributory factors to patient safety incidents in primary care. The findings from this review will provide an evidence-based contributory factors framework for use in the primary care setting. It will increase understanding of factors that contribute to patient safety incidents and ultimately improve quality of health care.
医疗机构需要系统地识别对患者安全产生影响的促成因素(或原因),以便有效地从错误中吸取教训。对错误的调查往往倾向于采取被动的方式从错误中学习,主要依赖于事件报告系统。现有的旨在识别错误潜在原因的框架几乎完全依赖于非医疗环境中的证据。有鉴于此,约克郡促成因素框架(YCFF)在医院环境中得以开发。85%的医疗接触发生在初级保健中。因此,本综述将以产生YCFF的工作为基础,通过审视与初级保健环境中错误促成因素相关的实证证据展开。
方法/设计:将检索四个电子文献数据库:医学期刊数据库(MEDLINE)、荷兰医学文摘数据库(Embase)、心理学文摘数据库(PsycInfo)和护理学与健康领域数据库(CINAHL)。数据库检索将辅以其他检索方法,包括引文检索和滚雪球策略,即查阅参考文献列表和相关期刊的目录,如《英国医学杂志·质量与安全》。我们的检索策略将包括三个关键术语块的检索组合。研究不会因设计而被排除。纳入的研究将是在初级保健环境中进行的实证研究。它们将包括对促成患者安全的因素的一些描述。一位评审员(SG)将筛选所有标题和摘要,另一位评审员将筛选50%的摘要。两位评审员(SG和AH)将使用标准表格进行研究选择、质量评估和数据提取。分歧将通过讨论或第三方裁决解决。要收集的数据包括研究特征(年份、目的、研究方法、环境、国家)、参与者特征(数量、年龄、性别、诊断)、患者安全事件类型和特征、实践特征和研究结果。
本综述将总结与初级保健中患者安全事件促成因素相关的文献。本综述的结果将提供一个基于证据的促成因素框架,供初级保健环境使用。它将增进对促成患者安全事件的因素的理解,并最终提高医疗保健质量。