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

<h4>Background</h4>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)...

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Bibliographic Details
Main Authors: Dawn M Guthrie, Nicole Williams, Cheryl Beach, Emma Buzath, Joachim Cohen, Anja Declercq, Kathryn Fisher, Brant E Fries, Donna Goodridge, Kirsten Hermans, John P Hirdes, Hsien Seow, Maria Silveira, Aynharan Sinnarajah, Susan Stevens, Peter Tanuseputro, Deanne Taylor, Christina Vadeboncoeur, Tracy Lyn Wityk Martin
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2022-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0266569
Description
Summary:<h4>Background</h4>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.<h4>Methods</h4>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.<h4>Results</h4>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.<h4>Conclusions</h4>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.
ISSN:1932-6203