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马来西亚国家护理敏感指标制定的证据综合:文献综述与利益相关者参与方法

Evidence Synthesis for the Development of National Nursing-Sensitive Indicators in Malaysia: A Literature Review and Stakeholder Engagement Approach.

作者信息

Rata Mohan Devi Shantini, Jamalul-Lail Nurul Iman, Chong Diane Woei-Quan, Chelladorai Kalvina, Mohammad Zubairi Kartiekasari Syahidda, Rusli Inin Roslyza, Zainuddin Nur Azmiah, Supadi Roslina, Ab Rahman Noor Hasidah, Mohamad Mariyah, Saravana Muthu Devi K, Narayanan Gowry, Jenny Cheah

机构信息

Centre for Health Services Research, Institute for Health Systems Research, Ministry of Health, Malaysia.

National Institutes of Health, Ministry of Health, Malaysia.

出版信息

SAGE Open Nurs. 2024 Oct 14;10:23779608241286426. doi: 10.1177/23779608241286426. eCollection 2024 Jan-Dec.

DOI:10.1177/23779608241286426
PMID:39421600
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11483707/
Abstract

INTRODUCTION

Nursing-sensitive indicators measure and evaluate nursing care quality and its contribution to patient care. The identification of indicators that demonstrate nursing care contribution and the quality of care delivered locally is of paramount importance, and national indicators that demonstrate this are essential. This paper aims to provide an evidence base of nursing-sensitive indicators that can facilitate the conceptualization of local nursing national indicators.

METHOD

A multifaceted and iterative approach incorporating literature review, and stakeholder engagements was utilized in evidence synthesis. A review of indicators present internationally complemented by the inclusion of context-specific local NSIs through stakeholder engagements was performed. Secondary data analysis of documents from an environmental scan was also included to highlight areas of concern for nursing-sensitive indicator prioritization from the viewpoint of nurses.

RESULTS

A total of 64 articles were reviewed and indicators were coded according to the Nursing Care Performance Framework subsystems, dimensions, and variables. All papers reviewed had documented outcome indicators. From our secondary data analysis, nurses identified areas of concern such as nursing staff supply, staff maintenance, nursing processes and risk outcomes, and safety to be prioritized for developing quality indicators.

CONCLUSION

This paper provides a list of NSIs coded systematically with definitions to aid stakeholders in prioritizing indicators for national indicator development. The inclusion of areas of concern provides insight into NSIs that nurse practitioners find relevant to the local context. To our knowledge, this is the first paper that includes evidence available in the literature and incorporates stakeholders' perspectives in synthesizing evidence needed to guide the development of national nursing indicators. This iterative approach is crucial because it enhances the likelihood of knowledge translation.

摘要

引言

护理敏感指标用于衡量和评估护理质量及其对患者护理的贡献。确定能够体现护理贡献和当地所提供护理质量的指标至关重要,而能体现这一点的国家指标更是必不可少。本文旨在提供一个护理敏感指标的证据基础,以促进当地护理国家指标的概念化。

方法

在证据综合过程中采用了多方面的迭代方法,包括文献综述和利益相关者参与。对国际上现有的指标进行了综述,并通过利益相关者参与纳入了特定背景下的当地护理敏感指标。还纳入了环境扫描文件的二次数据分析,以从护士的角度突出护理敏感指标优先排序的关注领域。

结果

共审查了64篇文章,并根据护理绩效框架子系统、维度和变量对指标进行了编码。所有审查的论文都记录了结果指标。从我们的二次数据分析中,护士们确定了一些需要优先考虑的关注领域,如护理人员供应、人员维持、护理过程和风险结果以及安全,以制定质量指标。

结论

本文提供了一份系统编码并带有定义的护理敏感指标清单,以帮助利益相关者为国家指标制定确定指标的优先级。纳入关注领域提供了对执业护士认为与当地情况相关的护理敏感指标的见解。据我们所知,这是第一篇纳入文献中现有证据并纳入利益相关者观点以综合指导国家护理指标制定所需证据的论文。这种迭代方法至关重要,因为它提高了知识转化的可能性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2b9/11483707/a710391bf8de/10.1177_23779608241286426-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2b9/11483707/7da2a190443a/10.1177_23779608241286426-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2b9/11483707/f25d44c7e856/10.1177_23779608241286426-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2b9/11483707/a710391bf8de/10.1177_23779608241286426-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2b9/11483707/7da2a190443a/10.1177_23779608241286426-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2b9/11483707/f25d44c7e856/10.1177_23779608241286426-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2b9/11483707/a710391bf8de/10.1177_23779608241286426-fig3.jpg

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