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)...
| Main Authors: | , , , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2022-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0266569 |
| _version_ | 1828807025373478912 |
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| author | 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 |
| author_facet | 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 |
| author_sort | Dawn M Guthrie |
| collection | DOAJ |
| description | <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. |
| first_indexed | 2024-12-12T08:19:18Z |
| format | Article |
| id | doaj.art-a6076be6a4394fbd9d8a07bfac2133c9 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-12-12T08:19:18Z |
| publishDate | 2022-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-a6076be6a4394fbd9d8a07bfac2133c92022-12-22T00:31:28ZengPublic Library of Science (PLoS)PLoS ONE1932-62032022-01-01174e026656910.1371/journal.pone.0266569A multi-stage process to develop quality indicators for community-based palliative care using interRAI data.Dawn M GuthrieNicole WilliamsCheryl BeachEmma BuzathJoachim CohenAnja DeclercqKathryn FisherBrant E FriesDonna GoodridgeKirsten HermansJohn P HirdesHsien SeowMaria SilveiraAynharan SinnarajahSusan StevensPeter TanuseputroDeanne TaylorChristina VadeboncoeurTracy Lyn Wityk Martin<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.https://doi.org/10.1371/journal.pone.0266569 |
| spellingShingle | 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 A multi-stage process to develop quality indicators for community-based palliative care using interRAI data. PLoS ONE |
| title | A multi-stage process to develop quality indicators for community-based palliative care using interRAI data. |
| title_full | A multi-stage process to develop quality indicators for community-based palliative care using interRAI data. |
| title_fullStr | A multi-stage process to develop quality indicators for community-based palliative care using interRAI data. |
| title_full_unstemmed | A multi-stage process to develop quality indicators for community-based palliative care using interRAI data. |
| title_short | A multi-stage process to develop quality indicators for community-based palliative care using interRAI data. |
| title_sort | multi stage process to develop quality indicators for community based palliative care using interrai data |
| url | https://doi.org/10.1371/journal.pone.0266569 |
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