A Multi-stage Process to Develop Quality Indicators for Community-based Palliative Care Using InterRAI Data

Overview

Journal PLoS One

Specialties General Medicine
Science

Date 2022 Apr 7

PMID 35390091

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

Affiliations

Soon will be listed here.

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.

Citing Articles

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

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Horvick S, Dias N Palliat Med Rep. 2024; 5(1):81-85.

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