Suppr超能文献

通过绩效数据反馈改善养老院护理(INFORM):一项整群随机试验的方案

Improving Nursing Home Care through Feedback On PerfoRMance Data (INFORM): Protocol for a cluster-randomized trial.

作者信息

Hoben Matthias, Norton Peter G, Ginsburg Liane R, Anderson Ruth A, Cummings Greta G, Lanham Holly J, Squires Janet E, Taylor Deanne, Wagg Adrian S, Estabrooks Carole A

机构信息

Faculty of Nursing, University of Alberta, Edmonton, Alberta, Canada.

Alberta Innovates-Health Solutions (AIHS) post-doctoral fellow, Translating Research in Elder Care (TREC), Faculty of Nursing, University of Alberta, 5-006 Edmonton Clinic Health Academy (ECHA), 11405 87 Avenue, Edmonton, AB T6G 1C9, Canada.

出版信息

Trials. 2017 Jan 10;18(1):9. doi: 10.1186/s13063-016-1748-8.

Abstract

BACKGROUND

Audit and feedback is effective in improving the quality of care. However, methods and results of international studies are heterogeneous, and studies have been criticized for a lack of systematic use of theory. In TREC (Translating Research in Elder Care), a longitudinal health services research program, we collect comprehensive data from care providers and residents in Canadian nursing homes to improve quality of care and life of residents, and quality of worklife of caregivers. The study aims are to a) systematically feed back TREC research data to nursing home care units, and b) compare the effectiveness of three different theory-based feedback strategies in improving performance within care units.

METHODS

INFORM (Improving Nursing Home Care through Feedback On PerfoRMance Data) is a 3.5-year pragmatic, three-arm, parallel, cluster-randomized trial. We will randomize 67 Western Canadian nursing homes with 203 care units to the three study arms, a standard feedback strategy and two assisted and goal-directed feedback strategies. Interventions will target care unit managerial teams. They are based on theory and evidence related to audit and feedback, goal setting, complex adaptive systems, and empirical work on feeding back research results. The primary outcome is the increased number of formal interactions (e.g., resident rounds or family conferences) involving care aides - non-registered caregivers providing up to 80% of direct care. Secondary outcomes are a) other modifiable features of care unit context (improved feedback, social capital, slack time) b) care aides' quality of worklife (improved psychological empowerment, job satisfaction), c) more use of best practices, and d) resident outcomes based on the Resident Assessment Instrument - Minimum Data Set 2.0. Outcomes will be assessed at baseline, immediately after the 12-month intervention period, and 18 months post intervention.

DISCUSSION

INFORM is the first study to systematically assess the effectiveness of different strategies to feed back research data to nursing home care units in order to improve their performance. Results of this study will enable development of a practical, sustainable, effective, and cost-effective feedback strategy for routine use by managers, policy makers and researchers. The results may also be generalizable to care settings other than nursing homes.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT02695836 . Date of registration: 24 February 2016.

摘要

背景

审核与反馈对于提高医疗质量是有效的。然而,国际研究的方法和结果存在异质性,并且这些研究因缺乏对理论的系统应用而受到批评。在“老年护理研究转化”(TREC)这一纵向卫生服务研究项目中,我们从加拿大养老院的护理人员和居民那里收集全面的数据,以提高居民的护理质量和生活质量,以及护理人员的工作生活质量。该研究的目的是:a)将TREC研究数据系统地反馈给养老院护理单元;b)比较三种不同的基于理论的反馈策略在提高护理单元绩效方面的有效性。

方法

“通过绩效数据反馈改善养老院护理”(INFORM)是一项为期3.5年的务实、三臂、平行、整群随机试验。我们将把加拿大西部的67家养老院及其203个护理单元随机分配到三个研究组,即一种标准反馈策略组和两种辅助且目标导向的反馈策略组。干预措施将针对护理单元管理团队。它们基于与审核和反馈、目标设定、复杂适应系统以及反馈研究结果方面的实证工作相关的理论和证据。主要结局是涉及护理助理(提供高达80%直接护理的非注册护理人员)的正式互动(如查房或家庭会议)次数增加。次要结局包括:a)护理单元环境的其他可改变特征(改善反馈、社会资本、空闲时间);b)护理助理的工作生活质量(增强心理授权、提高工作满意度);c)更多地采用最佳实践;d)基于居民评估工具 - 最小数据集2.0的居民结局。结局将在基线、12个月干预期结束后立即以及干预后18个月进行评估。

讨论

INFORM是第一项系统评估不同策略将研究数据反馈给养老院护理单元以提高其绩效有效性的研究。本研究结果将有助于制定一种实用、可持续、有效且具有成本效益的反馈策略,供管理人员、政策制定者和研究人员日常使用。研究结果也可能适用于养老院以外的护理环境。

试验注册

ClinicalTrials.gov标识符:NCT02695836。注册日期:2016年2月24日。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/69d9/5223357/39abe8c38ba6/13063_2016_1748_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验