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Exploring Systems That Support Good Clinical Care in Indigenous Primary Health-care Services: A Retrospective Analysis of Longitudinal Systems Assessment Tool Data from High-Improving Services

BACKGROUND: Continuous Quality Improvement is a process for raising the quality of primary health care (PHC) across Indigenous PHC services. In addition to clinical auditing using plan, do, study, and act cycles, engaging staff in a process of reflecting on systems to support quality care is vital....

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Autores principales: Woods, Cindy, Carlisle, Karen, Larkins, Sarah, Thompson, Sandra Claire, Tsey, Komla, Matthews, Veronica, Bailie, Ross
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5364947/
https://www.ncbi.nlm.nih.gov/pubmed/28393064
http://dx.doi.org/10.3389/fpubh.2017.00045
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author Woods, Cindy
Carlisle, Karen
Larkins, Sarah
Thompson, Sandra Claire
Tsey, Komla
Matthews, Veronica
Bailie, Ross
author_facet Woods, Cindy
Carlisle, Karen
Larkins, Sarah
Thompson, Sandra Claire
Tsey, Komla
Matthews, Veronica
Bailie, Ross
author_sort Woods, Cindy
collection PubMed
description BACKGROUND: Continuous Quality Improvement is a process for raising the quality of primary health care (PHC) across Indigenous PHC services. In addition to clinical auditing using plan, do, study, and act cycles, engaging staff in a process of reflecting on systems to support quality care is vital. The One21seventy Systems Assessment Tool (SAT) supports staff to assess systems performance in terms of five key components. This study examines quantitative and qualitative SAT data from five high-improving Indigenous PHC services in northern Australia to understand the systems used to support quality care. METHODS: High-improving services selected for the study were determined by calculating quality of care indices for Indigenous health services participating in the Audit and Best Practice in Chronic Disease National Research Partnership. Services that reported continuing high improvement in quality of care delivered across two or more audit tools in three or more audits were selected for the study. Precollected SAT data (from annual team SAT meetings) are presented longitudinally using radar plots for quantitative scores for each component, and content analysis is used to describe strengths and weaknesses of performance in each systems’ component. RESULTS: High-improving services were able to demonstrate strong processes for assessing system performance and consistent improvement in systems to support quality care across components. Key strengths in the quality support systems included adequate and orientated workforce, appropriate health system supports, and engagement with other organizations and community, while the weaknesses included lack of service infrastructure, recruitment, retention, and support for staff and additional costs. Qualitative data revealed clear voices from health service staff expressing concerns with performance, and subsequent SAT data provided evidence of changes made to address concerns. CONCLUSION: Learning from the processes and strengths of high-improving services may be useful as we work with services striving to improve the quality of care provided in other areas.
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spelling pubmed-53649472017-04-07 Exploring Systems That Support Good Clinical Care in Indigenous Primary Health-care Services: A Retrospective Analysis of Longitudinal Systems Assessment Tool Data from High-Improving Services Woods, Cindy Carlisle, Karen Larkins, Sarah Thompson, Sandra Claire Tsey, Komla Matthews, Veronica Bailie, Ross Front Public Health Public Health BACKGROUND: Continuous Quality Improvement is a process for raising the quality of primary health care (PHC) across Indigenous PHC services. In addition to clinical auditing using plan, do, study, and act cycles, engaging staff in a process of reflecting on systems to support quality care is vital. The One21seventy Systems Assessment Tool (SAT) supports staff to assess systems performance in terms of five key components. This study examines quantitative and qualitative SAT data from five high-improving Indigenous PHC services in northern Australia to understand the systems used to support quality care. METHODS: High-improving services selected for the study were determined by calculating quality of care indices for Indigenous health services participating in the Audit and Best Practice in Chronic Disease National Research Partnership. Services that reported continuing high improvement in quality of care delivered across two or more audit tools in three or more audits were selected for the study. Precollected SAT data (from annual team SAT meetings) are presented longitudinally using radar plots for quantitative scores for each component, and content analysis is used to describe strengths and weaknesses of performance in each systems’ component. RESULTS: High-improving services were able to demonstrate strong processes for assessing system performance and consistent improvement in systems to support quality care across components. Key strengths in the quality support systems included adequate and orientated workforce, appropriate health system supports, and engagement with other organizations and community, while the weaknesses included lack of service infrastructure, recruitment, retention, and support for staff and additional costs. Qualitative data revealed clear voices from health service staff expressing concerns with performance, and subsequent SAT data provided evidence of changes made to address concerns. CONCLUSION: Learning from the processes and strengths of high-improving services may be useful as we work with services striving to improve the quality of care provided in other areas. Frontiers Media S.A. 2017-03-24 /pmc/articles/PMC5364947/ /pubmed/28393064 http://dx.doi.org/10.3389/fpubh.2017.00045 Text en Copyright © 2017 Woods, Carlisle, Larkins, Thompson, Tsey, Matthews and Bailie. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Woods, Cindy
Carlisle, Karen
Larkins, Sarah
Thompson, Sandra Claire
Tsey, Komla
Matthews, Veronica
Bailie, Ross
Exploring Systems That Support Good Clinical Care in Indigenous Primary Health-care Services: A Retrospective Analysis of Longitudinal Systems Assessment Tool Data from High-Improving Services
title Exploring Systems That Support Good Clinical Care in Indigenous Primary Health-care Services: A Retrospective Analysis of Longitudinal Systems Assessment Tool Data from High-Improving Services
title_full Exploring Systems That Support Good Clinical Care in Indigenous Primary Health-care Services: A Retrospective Analysis of Longitudinal Systems Assessment Tool Data from High-Improving Services
title_fullStr Exploring Systems That Support Good Clinical Care in Indigenous Primary Health-care Services: A Retrospective Analysis of Longitudinal Systems Assessment Tool Data from High-Improving Services
title_full_unstemmed Exploring Systems That Support Good Clinical Care in Indigenous Primary Health-care Services: A Retrospective Analysis of Longitudinal Systems Assessment Tool Data from High-Improving Services
title_short Exploring Systems That Support Good Clinical Care in Indigenous Primary Health-care Services: A Retrospective Analysis of Longitudinal Systems Assessment Tool Data from High-Improving Services
title_sort exploring systems that support good clinical care in indigenous primary health-care services: a retrospective analysis of longitudinal systems assessment tool data from high-improving services
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5364947/
https://www.ncbi.nlm.nih.gov/pubmed/28393064
http://dx.doi.org/10.3389/fpubh.2017.00045
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