Establishing Quality Indicators and Implementation Priorities for Post-Stroke Aphasia Services Through End-User Involvement.
Shrubsole, K
Stone, M
Cadilhac, DA
Kilkenny, MF
Power, E
Lynch, E
Pierce, JE
Copland, DA
Godecke, E
Burton, B
Brogan, E
Wallace, SJ
- Publisher:
- WILEY
- Publication Type:
- Journal Article
- Citation:
- Health Expect, 2024, 27, (5), pp. e14173
- Issue Date:
- 2024-10
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Full metadata record
Field | Value | Language |
---|---|---|
dc.contributor.author | Shrubsole, K | |
dc.contributor.author | Stone, M | |
dc.contributor.author | Cadilhac, DA | |
dc.contributor.author | Kilkenny, MF | |
dc.contributor.author |
Power, E https://orcid.org/0000-0002-2638-0406 |
|
dc.contributor.author | Lynch, E | |
dc.contributor.author | Pierce, JE | |
dc.contributor.author | Copland, DA | |
dc.contributor.author | Godecke, E | |
dc.contributor.author | Burton, B | |
dc.contributor.author | Brogan, E | |
dc.contributor.author | Wallace, SJ | |
dc.date.accessioned | 2024-10-09T00:40:20Z | |
dc.date.available | 2024-07-25 | |
dc.date.available | 2024-10-09T00:40:20Z | |
dc.date.issued | 2024-10 | |
dc.identifier.citation | Health Expect, 2024, 27, (5), pp. e14173 | |
dc.identifier.issn | 1369-6513 | |
dc.identifier.issn | 1369-7625 | |
dc.identifier.uri | http://hdl.handle.net/10453/181274 | |
dc.description.abstract | BACKGROUND: Currently, there are no agreed quality standards for post-stroke aphasia services. Therefore, it is unknown if care reflects best practices or meets the expectations of people living with aphasia. We aimed to (1) shortlist, (2) operationalise and (3) prioritise best practice recommendations for post-stroke aphasia care. METHODS: Three phases of research were conducted. In Phase 1, recommendations with strong evidence and/or known to be important to people with lived experience of aphasia were identified. People with lived experience and health professionals rated the importance of each recommendation through a two-round e-Delphi exercise. Recommendations were then ranked for importance and feasibility and analysed using a graph theory-based voting system. In Phase 2, shortlisted recommendations from Phase 1 were converted into quality indicators for appraisal and voting in consensus meetings. In Phase 3, priorities for implementation were established by people with lived experience and health professionals following discussion and anonymous voting. FINDINGS: In Phase 1, 23 best practice recommendations were identified and rated by people with lived experience (n = 26) and health professionals (n = 81). Ten recommendations were shortlisted. In Phase 2, people with lived experience (n = 4) and health professionals (n = 17) reached a consensus on 11 quality indicators, relating to assessment (n = 2), information provision (n = 3), communication partner training (n = 3), goal setting (n = 1), person and family-centred care (n = 1) and provision of treatment (n = 1). In Phase 3, people with lived experience (n = 5) and health professionals (n = 7) identified three implementation priorities: assessment of aphasia, provision of aphasia-friendly information and provision of therapy. INTERPRETATION: Our 11 quality indicators and 3 implementation priorities are the first step to enabling systematic, efficient and person-centred measurement and quality improvement in post-stroke aphasia services. Quality indicators will be embedded in routine data collection systems, and strategies will be developed to address implementation priorities. PATIENT AND PUBLIC CONTRIBUTION: Protocol development was informed by our previous research, which explored the perspectives of 23 people living with aphasia about best practice aphasia services. Individuals with lived experience of aphasia participated as expert panel members in our three consensus meetings. We received support from consumer advisory networks associated with the Centre for Research Excellence in Aphasia Rehabilitation and Recovery and the Queensland Aphasia Research Centre. | |
dc.format | ||
dc.language | eng | |
dc.publisher | WILEY | |
dc.relation.ispartof | Health Expect | |
dc.relation.isbasedon | 10.1111/hex.14173 | |
dc.rights | info:eu-repo/semantics/openAccess | |
dc.subject | 1110 Nursing, 1117 Public Health and Health Services, 1701 Psychology | |
dc.subject.classification | Public Health | |
dc.subject.classification | 4203 Health services and systems | |
dc.subject.classification | 4206 Public health | |
dc.subject.mesh | Humans | |
dc.subject.mesh | Aphasia | |
dc.subject.mesh | Quality Indicators, Health Care | |
dc.subject.mesh | Female | |
dc.subject.mesh | Stroke | |
dc.subject.mesh | Male | |
dc.subject.mesh | Stroke Rehabilitation | |
dc.subject.mesh | Delphi Technique | |
dc.subject.mesh | Middle Aged | |
dc.subject.mesh | Patient Participation | |
dc.subject.mesh | Aged | |
dc.subject.mesh | Adult | |
dc.subject.mesh | Humans | |
dc.subject.mesh | Aphasia | |
dc.subject.mesh | Delphi Technique | |
dc.subject.mesh | Adult | |
dc.subject.mesh | Aged | |
dc.subject.mesh | Middle Aged | |
dc.subject.mesh | Patient Participation | |
dc.subject.mesh | Quality Indicators, Health Care | |
dc.subject.mesh | Female | |
dc.subject.mesh | Male | |
dc.subject.mesh | Stroke | |
dc.subject.mesh | Stroke Rehabilitation | |
dc.subject.mesh | Humans | |
dc.subject.mesh | Aphasia | |
dc.subject.mesh | Quality Indicators, Health Care | |
dc.subject.mesh | Female | |
dc.subject.mesh | Stroke | |
dc.subject.mesh | Male | |
dc.subject.mesh | Stroke Rehabilitation | |
dc.subject.mesh | Delphi Technique | |
dc.subject.mesh | Middle Aged | |
dc.subject.mesh | Patient Participation | |
dc.subject.mesh | Aged | |
dc.subject.mesh | Adult | |
dc.title | Establishing Quality Indicators and Implementation Priorities for Post-Stroke Aphasia Services Through End-User Involvement. | |
dc.type | Journal Article | |
utslib.citation.volume | 27 | |
utslib.location.activity | England | |
utslib.for | 1110 Nursing | |
utslib.for | 1117 Public Health and Health Services | |
utslib.for | 1701 Psychology | |
pubs.organisational-group | University of Technology Sydney | |
pubs.organisational-group | University of Technology Sydney/Faculty of Health | |
pubs.organisational-group | University of Technology Sydney/Faculty of Health/Graduate School of Health | |
pubs.organisational-group | University of Technology Sydney/Faculty of Health/Graduate School of Health/GSH.Speech Pathology | |
pubs.organisational-group | University of Technology Sydney/UTS Groups | |
pubs.organisational-group | University of Technology Sydney/UTS Groups/UTS Ageing Research Collaborative (UARC) | |
utslib.copyright.status | open_access | * |
dc.rights.license | This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/ | |
dc.date.updated | 2024-10-09T00:40:19Z | |
pubs.issue | 5 | |
pubs.publication-status | Published | |
pubs.volume | 27 | |
utslib.citation.issue | 5 |
Abstract:
BACKGROUND: Currently, there are no agreed quality standards for post-stroke aphasia services. Therefore, it is unknown if care reflects best practices or meets the expectations of people living with aphasia. We aimed to (1) shortlist, (2) operationalise and (3) prioritise best practice recommendations for post-stroke aphasia care. METHODS: Three phases of research were conducted. In Phase 1, recommendations with strong evidence and/or known to be important to people with lived experience of aphasia were identified. People with lived experience and health professionals rated the importance of each recommendation through a two-round e-Delphi exercise. Recommendations were then ranked for importance and feasibility and analysed using a graph theory-based voting system. In Phase 2, shortlisted recommendations from Phase 1 were converted into quality indicators for appraisal and voting in consensus meetings. In Phase 3, priorities for implementation were established by people with lived experience and health professionals following discussion and anonymous voting. FINDINGS: In Phase 1, 23 best practice recommendations were identified and rated by people with lived experience (n = 26) and health professionals (n = 81). Ten recommendations were shortlisted. In Phase 2, people with lived experience (n = 4) and health professionals (n = 17) reached a consensus on 11 quality indicators, relating to assessment (n = 2), information provision (n = 3), communication partner training (n = 3), goal setting (n = 1), person and family-centred care (n = 1) and provision of treatment (n = 1). In Phase 3, people with lived experience (n = 5) and health professionals (n = 7) identified three implementation priorities: assessment of aphasia, provision of aphasia-friendly information and provision of therapy. INTERPRETATION: Our 11 quality indicators and 3 implementation priorities are the first step to enabling systematic, efficient and person-centred measurement and quality improvement in post-stroke aphasia services. Quality indicators will be embedded in routine data collection systems, and strategies will be developed to address implementation priorities. PATIENT AND PUBLIC CONTRIBUTION: Protocol development was informed by our previous research, which explored the perspectives of 23 people living with aphasia about best practice aphasia services. Individuals with lived experience of aphasia participated as expert panel members in our three consensus meetings. We received support from consumer advisory networks associated with the Centre for Research Excellence in Aphasia Rehabilitation and Recovery and the Queensland Aphasia Research Centre.
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