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采用 interRAI 数据制定基于社区的姑息治疗质量指标的多阶段流程。

A multi-stage process to develop quality indicators for community-based palliative care using interRAI data.

机构信息

Department of Kinesiology and Physical Education, Wilfrid Laurier University, Waterloo, Ontario, Canada.

Department of Health Sciences, Wilfrid Laurier University, Waterloo, Ontario, Canada.

出版信息

PLoS One. 2022 Apr 7;17(4):e0266569. doi: 10.1371/journal.pone.0266569. eCollection 2022.

DOI:10.1371/journal.pone.0266569
PMID:35390091
原文链接:
https://pmc.ncbi.nlm.nih.gov/articles/PMC8989210/
Abstract

BACKGROUND

Individuals receiving palliative care (PC) are generally thought to prefer to receive care and die in their homes, yet little research has assessed the quality of home- and community-based PC. This project developed a set of valid and reliable quality indicators (QIs) that can be generated using data that are already gathered with interRAI assessments-an internationally validated set of tools commonly used in North America for home care clients. The QIs can serve as decision-support measures to assist providers and decision makers in delivering optimal care to individuals and their families.

METHODS

The development efforts took part in multiple stages, between 2017-2021, including a workshop with clinicians and decision-makers working in PC, qualitative interviews with individuals receiving PC, families and decision makers and a modified Delphi panel, based on the RAND/ULCA appropriateness method.

RESULTS

Based on the workshop results, and qualitative interviews, a set of 27 candidate QIs were defined. They capture issues such as caregiver burden, pain, breathlessness, falls, constipation, nausea/vomiting and loneliness. These QIs were further evaluated by clinicians/decision makers working in PC, through the modified Delphi panel, and five were removed from further consideration, resulting in 22 QIs.

CONCLUSIONS

Through in-depth and multiple-stakeholder consultations we developed a set of QIs generated with data already collected with interRAI assessments. These indicators provide a feasible basis for quality benchmarking and improvement systems for care providers aiming to optimize PC to individuals and their families.

摘要

背景

接受姑息治疗(PC)的个体通常被认为更愿意在家中接受治疗并在家中去世,但很少有研究评估基于家庭和社区的姑息治疗的质量。本项目开发了一组有效的和可靠的质量指标(QIs),这些指标可以使用已经通过 interRAI 评估收集的数据生成,interRAI 评估是一组在北美广泛用于家庭护理客户的国际验证工具。这些 QIs 可以作为决策支持措施,以帮助提供者和决策者为个人及其家庭提供最佳护理。

方法

开发工作分多个阶段进行,时间跨度为 2017 年至 2021 年,包括与从事 PC 的临床医生和决策者的研讨会、接受 PC 的个人、家庭和决策者的定性访谈以及基于 RAND/ULCA 适宜性方法的修改 Delphi 小组。

结果

根据研讨会的结果和定性访谈,确定了一组 27 个候选 QIs。它们涵盖了护理人员负担、疼痛、呼吸困难、跌倒、便秘、恶心/呕吐和孤独等问题。这些 QIs 进一步由从事 PC 的临床医生/决策者通过修改 Delphi 小组进行评估,其中 5 个被排除在进一步考虑之外,最终确定了 22 个 QIs。

结论

通过深入和多利益相关者的协商,我们开发了一组使用已经通过 interRAI 评估收集的数据生成的 QIs。这些指标为旨在为个人及其家庭优化 PC 的护理提供者提供了质量基准和改进系统的可行基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c27/8989210/c1db8576a2bd/pone.0266569.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c27/8989210/c1db8576a2bd/pone.0266569.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c27/8989210/c1db8576a2bd/pone.0266569.g001.jpg

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