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Using co‐creation and multi‐criteria decision analysis to close service gaps for underserved populations

BACKGROUND: Navigating treatment pathways remains a challenge for populations with complex needs due to bottlenecks, service gaps and access barriers. The application of novel methods may be required to identify and remedy such problems. OBJECTIVE: To demonstrate a novel approach to identifying pers...

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Autores principales: Mortimer, Duncan, Iezzi, Angelo, Dickins, Marissa, Johnstone, Georgina, Lowthian, Judy, Enticott, Joanne, Ogrin, Rajna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6803401/
https://www.ncbi.nlm.nih.gov/pubmed/31187600
http://dx.doi.org/10.1111/hex.12923
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author Mortimer, Duncan
Iezzi, Angelo
Dickins, Marissa
Johnstone, Georgina
Lowthian, Judy
Enticott, Joanne
Ogrin, Rajna
author_facet Mortimer, Duncan
Iezzi, Angelo
Dickins, Marissa
Johnstone, Georgina
Lowthian, Judy
Enticott, Joanne
Ogrin, Rajna
author_sort Mortimer, Duncan
collection PubMed
description BACKGROUND: Navigating treatment pathways remains a challenge for populations with complex needs due to bottlenecks, service gaps and access barriers. The application of novel methods may be required to identify and remedy such problems. OBJECTIVE: To demonstrate a novel approach to identifying persistent service gaps, generating potential solutions and prioritizing action. DESIGN: Co‐creation and multi‐criteria decision analysis in the context of a larger, mixed methods study. SETTING AND PARTICIPANTS: Community‐dwelling sample of older women living alone (OWLA), residing in Melbourne, Australia (n = 13‐37). Convenience sample of (n = 11) representatives from providers and patient organizations. INTERVENTIONS: Novel interventions co‐created to support health, well‐being and independence for OWLA and bridge missing links in pathways to care. MAIN OUTCOME MEASURES: Performance criteria, criterion weights , performance ratings, summary scores and ranks reflecting the relative value of interventions to OWLA. RESULTS: The co‐creation process generated a list of ten interventions. Both OWLA and stakeholders considered a broad range of criteria when evaluating the relative merits of these ten interventions and a “Do Nothing” alternative. Combining criterion weights with performance ratings yielded a consistent set of high priority interventions, with “Handy Help,” “Volunteer Drivers” and “Exercise Buddies” most highly ranked by both OWLA and stakeholder samples. DISCUSSION AND CONCLUSIONS: The present study described and demonstrated the use of multi‐criteria decision analysis to prioritize a set of novel interventions generated via a co‐creation process. Application of this approach can add community voice to the policy debate and begin to bridge the gap in service provision for underserved populations.
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spelling pubmed-68034012019-10-24 Using co‐creation and multi‐criteria decision analysis to close service gaps for underserved populations Mortimer, Duncan Iezzi, Angelo Dickins, Marissa Johnstone, Georgina Lowthian, Judy Enticott, Joanne Ogrin, Rajna Health Expect Original Research Papers BACKGROUND: Navigating treatment pathways remains a challenge for populations with complex needs due to bottlenecks, service gaps and access barriers. The application of novel methods may be required to identify and remedy such problems. OBJECTIVE: To demonstrate a novel approach to identifying persistent service gaps, generating potential solutions and prioritizing action. DESIGN: Co‐creation and multi‐criteria decision analysis in the context of a larger, mixed methods study. SETTING AND PARTICIPANTS: Community‐dwelling sample of older women living alone (OWLA), residing in Melbourne, Australia (n = 13‐37). Convenience sample of (n = 11) representatives from providers and patient organizations. INTERVENTIONS: Novel interventions co‐created to support health, well‐being and independence for OWLA and bridge missing links in pathways to care. MAIN OUTCOME MEASURES: Performance criteria, criterion weights , performance ratings, summary scores and ranks reflecting the relative value of interventions to OWLA. RESULTS: The co‐creation process generated a list of ten interventions. Both OWLA and stakeholders considered a broad range of criteria when evaluating the relative merits of these ten interventions and a “Do Nothing” alternative. Combining criterion weights with performance ratings yielded a consistent set of high priority interventions, with “Handy Help,” “Volunteer Drivers” and “Exercise Buddies” most highly ranked by both OWLA and stakeholder samples. DISCUSSION AND CONCLUSIONS: The present study described and demonstrated the use of multi‐criteria decision analysis to prioritize a set of novel interventions generated via a co‐creation process. Application of this approach can add community voice to the policy debate and begin to bridge the gap in service provision for underserved populations. John Wiley and Sons Inc. 2019-06-11 2019-10 /pmc/articles/PMC6803401/ /pubmed/31187600 http://dx.doi.org/10.1111/hex.12923 Text en © 2019 The Authors Health Expectations published by John Wiley & Sons Ltd This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research Papers
Mortimer, Duncan
Iezzi, Angelo
Dickins, Marissa
Johnstone, Georgina
Lowthian, Judy
Enticott, Joanne
Ogrin, Rajna
Using co‐creation and multi‐criteria decision analysis to close service gaps for underserved populations
title Using co‐creation and multi‐criteria decision analysis to close service gaps for underserved populations
title_full Using co‐creation and multi‐criteria decision analysis to close service gaps for underserved populations
title_fullStr Using co‐creation and multi‐criteria decision analysis to close service gaps for underserved populations
title_full_unstemmed Using co‐creation and multi‐criteria decision analysis to close service gaps for underserved populations
title_short Using co‐creation and multi‐criteria decision analysis to close service gaps for underserved populations
title_sort using co‐creation and multi‐criteria decision analysis to close service gaps for underserved populations
topic Original Research Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6803401/
https://www.ncbi.nlm.nih.gov/pubmed/31187600
http://dx.doi.org/10.1111/hex.12923
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