Suppr超能文献

正向偏离理论:利用赞美数据为大型农村医疗保健系统的患者体验改善提供战略规划指导。

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

机构信息

U Mass Memorial Medical Center, Worcester, MA, USA.

Texas Tech University Health Sciences Center, Paul L. Foster School of Medicine, El Paso, TX, USA.

出版信息

Perm J. 2024 Sep 16;28(3):223-233. doi: 10.7812/TPP/24.008. Epub 2024 Sep 9.

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.

摘要

背景

患者为中心的护理(PCC)已被呼吁作为改善护理质量和患者结果的解决方案。患者体验,称为护理体验,是 PCC 的一个可衡量的方面,与共同生产相一致。确定积极性和表现优异者的模式是一种积极偏差方法,可以为改善护理体验提供战略指导。

目的

确定患者和家属对其护理体验自愿、主动提出的表扬中,积极偏差的特征。

方法

作者进行了一项混合方法分析,包括对 2021 年 1 月至 2022 年 1 月期间提交的患者和家属的非请求意见进行内容和主题分析。在去除重复项和错误分类的意见后,使用单一的、盲目的归纳编码对 213 条表扬进行分析,以综合主题陈述。

结果

按地点划分,主校区收到的表扬最多(89%);最广泛使用的患者情绪是感谢(36.8%)。有同情心(26.8%),加上其他六个:有能力的(11.6%)、沟通的(10.6%)、被照顾的(8.5%)、护理团队(8.0%)和支持的(8.0%),构成了约 80%的护理质量驱动因素。医生(37.3%)和护士(34.2%)是最受表扬的人员,尽管外科(17.0%)是最受表扬的服务团队。模范个人及其相关护理团队也报告了类似的特征。

结论

这些结果与 Beryl Institute 和 CMS 五星评级报告的患者体验关键驱动因素的先前工作一致。这种方法提供了一种在医疗系统内识别模范的方法,并利用这些信息来指导改进和组织规划。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81bc/11404630/722d3e5e990f/tpp_24.008-g001.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