Positive Deviance Theory: Leveraging Compliments Data to Guide Strategic Planning for Patient Experience Improvement in a Large Rural Health Care System.

Q2 Social Sciences
The Permanente journal Pub Date : 2024-09-16 Epub Date: 2024-09-09 DOI:10.7812/TPP/24.008
Kolu S Baysah Clark, Nivethitha Manohar, Jabeen Ahmad, Brant J Oliver
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引用次数: 0

Abstract

Background: Patient-centered care (PCC) has been called for as a solution to improving care quality and patient outcomes. Patient experience, termed care experience, is a measurable aspect of PCC and aligns with coproduction. Identifying patterns of positivity and high performers is a Positive Deviance approach that can inform strategic improvement of the care experience.

Objective: To identify the characteristics of positive deviances from voluntary, unsolicited compliments from patients and family members about their care experiences.

Methods: The authors conducted a mixed-method analysis, including content and a thematic analysis of unsolicited comments from patients and families, submitted between January 2021 and January 2022. After removing duplicates and miscategorized comments, 213 compliments were included in the analysis using a single, blinded inductive coding to synthesize thematic statements.

Results: The main campus received the most compliments by location (89%); the most widely used patient sentiment was thankful (36.8%). Compassionate (26.8%), together with six others: competent (11.6%), communication (10.6%), cared for (8.5%), care team (8.0%), and supportive (8.0%), made up approximately 80% of drivers of care quality. Physicians (37.3%) and nurses (34.2%) were the most complimented personnel, although surgery (17.0%) were the most complimented services team. Similar characteristics were reported for exemplary individuals and their associated care teams.

Conclusion: The results align with previously reported work by the Beryl Institute and CMS 5-star rating on key drivers of patient experience. This approach provides a method by which exemplars can be identified within health systems, and that information is used to guide improvement and organizational planning.

积极偏差理论:在一个大型农村医疗保健系统中,利用称赞数据指导改善患者体验的战略规划。
背景:以病人为中心的护理(PCC)被认为是提高护理质量和病人疗效的一种解决方案。患者体验,即护理体验,是 PCC 的一个可衡量的方面,与共同生产相一致。确定积极模式和高绩效者是一种积极偏差方法,可为护理体验的战略改进提供信息:从患者和家属对其护理体验的自愿、主动赞美中找出积极偏差的特征:作者对患者和家属在 2021 年 1 月至 2022 年 1 月期间主动提交的意见进行了混合方法分析,包括内容分析和主题分析。在剔除重复和未分类的评论后,213 条点赞被纳入分析,并使用单一的盲法归纳编码来综合主题陈述:按地点划分,主校区收到的点赞最多(89%);最广泛使用的患者情感是感谢(36.8%)。有同情心(26.8%)以及其他六项:称职(11.6%)、沟通(10.6%)、关心(8.5%)、护理团队(8.0%)和支持(8.0%),约占护理质量驱动因素的 80%。医生(37.3%)和护士(34.2%)是受赞扬最多的人员,而外科(17.0%)是受赞扬最多的服务团队。模范个人及其相关护理团队也有类似的特点:这些结果与贝里尔研究所之前报告的工作以及 CMS 关于患者体验关键驱动因素的五星评级相一致。这种方法提供了一种在医疗系统内识别模范的方法,并利用这些信息指导改进和组织规划。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
The Permanente journal
The Permanente journal Medicine-Medicine (all)
CiteScore
2.20
自引率
0.00%
发文量
86
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