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

Guthrie, Dawn M. and Williams, Nicole and Beach, Cheryl and Buzath, Emma and Cohen, Joachim and Declercq, Anja and Fisher, Kathryn and Fries, Brant E. and Goodridge, Donna and Hermans, Kirsten and Hirdes, John P. and Seow, Hsien and Silveira, Maria and Sinnarajah, Aynharan and Stevens, Susan and Tanuseputro, Peter and Taylor, Deanne and Vadeboncoeur, Christina and Martin, Tracy Lyn Wityk and Scott, Jason (2022) A multi-stage process to develop quality indicators for community-based palliative care using interRAI data. PLOS ONE, 17 (4). e0266569. ISSN 1932-6203

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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.

Item Type: Article
Subjects: Journal Eprints > Medical Science
Depositing User: Managing Editor
Date Deposited: 20 Mar 2023 05:05
Last Modified: 17 Jul 2024 07:41
URI: http://repository.journal4submission.com/id/eprint/1017

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