School of Nursing, Faculty of Science, Medicine & Health, University of Wollongong, Wollongong, NSW, Australia.
School of Nursing & Midwifery, College of Science, Health & Engineering, La Trobe University, Bundoora, Vic., Australia.
J Adv Nurs. 2019 Sep;75(9):1877-1888. doi: 10.1111/jan.13967. Epub 2019 Mar 6.
To describe the development, testing, and implementation of a data registry of nursing-sensitive indicators for measuring the quality and safety of nursing practice.
Recent research has established causal links between nurse staffing and patient outcomes. Unit level data is necessary for implementation of evidence-based strategies on nurse staffing and nursing care processes.
Multi-site, cross-sectional design.
Retrospective data were collected from administrative data sets on nurse staffing, patient flow, and adverse events in three hospitals in 2016. Periodic observational surveys on pressure injury prevalence, hand hygiene practices, and documentation of processes of care were also conducted. Prospective data were collected from patients at time of discharge using the Caring Assessment Tool. Nurses' perceptions of their practice environment were assessed using the Nursing Work Index - Revised: Australian. Data from annual Press Ganey surveys on patient satisfaction/experience were obtained.
The Australian Nursing Outcomes Collaborative (AUSNOC) data registry was developed in three phases. Phase 1 involved development of a data codebook; phase 2 involved development and testing of data collection methods; and phase 3 involved development of data reports and data dissemination strategies. This paper gives an overview of these phases and includes a summary of the descriptive statistics from the indicator set.
Unit level data is pivotal for measuring the quality and safety of nursing care. Data from the Australian Nursing Outcomes Collaborative (AUSNOC) can be feasibly collected and used to benchmark nursing performance, evaluate patient outcomes, and identify areas for practice improvement.
描述护理敏感指标数据登记册的开发、测试和实施，以衡量护理实践的质量和安全性。
最近的研究已经确定了护士人数与患者结果之间的因果关系。单元级别的数据对于实施基于证据的护士人数和护理护理流程策略是必要的。
多地点、横断面设计。
2016 年，从三家医院的行政数据集收集了关于护士人员配备、患者流动和不良事件的回顾性数据。还定期进行了压疮发生率、手卫生实践和护理过程记录的观察性调查。使用关怀评估工具在患者出院时收集前瞻性数据。护士对其实践环境的看法使用修订后的护理工作指数-澳大利亚进行评估。从年度患者满意度/体验民意调查的 Press Ganey 调查中获得数据。
澳大利亚护理成果协作组织（AUSNOC）数据登记册分三个阶段开发。第 1 阶段涉及数据代码本的开发；第 2 阶段涉及数据收集方法的开发和测试；第 3 阶段涉及数据报告和数据传播策略的制定。本文概述了这些阶段，并包括了指标集的描述性统计数据的摘要。
单元级别的数据对于衡量护理护理的质量和安全性至关重要。来自澳大利亚护理成果协作组织（AUSNOC）的数据可以进行可行的收集，并用于基准护理绩效、评估患者结果和确定实践改进领域。
