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The quality of preventive care for pre-school aged children in Australian general practice
BACKGROUND: Variable and poor care quality are important causes of preventable patient harm. Many patients receive less than recommended care, but the extent of the problem remains largely unknown. The CareTrack Kids (CTK) research programme sought to address this evidence gap by developing a set of...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6896286/ https://www.ncbi.nlm.nih.gov/pubmed/31805928 http://dx.doi.org/10.1186/s12916-019-1455-x |
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author | Wiles, Louise K. de Wet, Carl Dalton, Chris Murphy, Elisabeth Harris, Mark F. Hibbert, Peter D. Molloy, Charlotte J. Arnolda, Gaston Ting, Hsuen P. Braithwaite, Jeffrey |
author_facet | Wiles, Louise K. de Wet, Carl Dalton, Chris Murphy, Elisabeth Harris, Mark F. Hibbert, Peter D. Molloy, Charlotte J. Arnolda, Gaston Ting, Hsuen P. Braithwaite, Jeffrey |
author_sort | Wiles, Louise K. |
collection | PubMed |
description | BACKGROUND: Variable and poor care quality are important causes of preventable patient harm. Many patients receive less than recommended care, but the extent of the problem remains largely unknown. The CareTrack Kids (CTK) research programme sought to address this evidence gap by developing a set of indicators to measure the quality of care for common paediatric conditions. In this study, we focus on one clinical area, ‘preventive care’ for pre-school aged children. Our objectives were two-fold: (i) develop and validate preventive care quality indicators and (ii) apply them in general medical practice to measure adherence. METHODS: Clinical experts (n = 6) developed indicator questions (IQs) from clinical practice guideline (CPG) recommendations using a multi-stage modified Delphi process, which were pilot tested in general practice. The medical records of Australian children (n = 976) from general practices (n = 80) in Queensland, New South Wales and South Australia identified as having a consultation for one of 17 CTK conditions of interest were retrospectively reviewed by trained paediatric nurses. Statistical analyses were performed to estimate percentage compliance and its 95% confidence intervals. RESULTS: IQs (n = 43) and eight care ‘bundles’ were developed and validated. Care was delivered in line with the IQs in 43.3% of eligible healthcare encounters (95% CI 30.5–56.7). The bundles of care with the highest compliance were ‘immunisation’ (80.1%, 95% CI 65.7–90.4), ‘anthropometric measurements’ (52.7%, 95% CI 35.6–69.4) and ‘nutrition assessments’ (38.5%, 95% CI 24.3–54.3), and lowest for ‘visual assessment’ (17.9%, 95% CI 8.2–31.9), ‘musculoskeletal examinations’ (24.4%, 95% CI 13.1–39.1) and ‘cardiovascular examinations’ (30.9%, 95% CI 12.3–55.5). CONCLUSIONS: This study is the first known attempt to develop specific preventive care quality indicators and measure their delivery to Australian children in general practice. Our findings that preventive care is not reliably delivered to all Australian children and that there is substantial variation in adherence with the IQs provide a starting point for clinicians, researchers and policy makers when considering how the gap between recommended and actual care may be narrowed. The findings may also help inform the development of specific improvement interventions, incentives and national standards. |
format | Online Article Text |
id | pubmed-6896286 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-68962862019-12-11 The quality of preventive care for pre-school aged children in Australian general practice Wiles, Louise K. de Wet, Carl Dalton, Chris Murphy, Elisabeth Harris, Mark F. Hibbert, Peter D. Molloy, Charlotte J. Arnolda, Gaston Ting, Hsuen P. Braithwaite, Jeffrey BMC Med Research Article BACKGROUND: Variable and poor care quality are important causes of preventable patient harm. Many patients receive less than recommended care, but the extent of the problem remains largely unknown. The CareTrack Kids (CTK) research programme sought to address this evidence gap by developing a set of indicators to measure the quality of care for common paediatric conditions. In this study, we focus on one clinical area, ‘preventive care’ for pre-school aged children. Our objectives were two-fold: (i) develop and validate preventive care quality indicators and (ii) apply them in general medical practice to measure adherence. METHODS: Clinical experts (n = 6) developed indicator questions (IQs) from clinical practice guideline (CPG) recommendations using a multi-stage modified Delphi process, which were pilot tested in general practice. The medical records of Australian children (n = 976) from general practices (n = 80) in Queensland, New South Wales and South Australia identified as having a consultation for one of 17 CTK conditions of interest were retrospectively reviewed by trained paediatric nurses. Statistical analyses were performed to estimate percentage compliance and its 95% confidence intervals. RESULTS: IQs (n = 43) and eight care ‘bundles’ were developed and validated. Care was delivered in line with the IQs in 43.3% of eligible healthcare encounters (95% CI 30.5–56.7). The bundles of care with the highest compliance were ‘immunisation’ (80.1%, 95% CI 65.7–90.4), ‘anthropometric measurements’ (52.7%, 95% CI 35.6–69.4) and ‘nutrition assessments’ (38.5%, 95% CI 24.3–54.3), and lowest for ‘visual assessment’ (17.9%, 95% CI 8.2–31.9), ‘musculoskeletal examinations’ (24.4%, 95% CI 13.1–39.1) and ‘cardiovascular examinations’ (30.9%, 95% CI 12.3–55.5). CONCLUSIONS: This study is the first known attempt to develop specific preventive care quality indicators and measure their delivery to Australian children in general practice. Our findings that preventive care is not reliably delivered to all Australian children and that there is substantial variation in adherence with the IQs provide a starting point for clinicians, researchers and policy makers when considering how the gap between recommended and actual care may be narrowed. The findings may also help inform the development of specific improvement interventions, incentives and national standards. BioMed Central 2019-12-06 /pmc/articles/PMC6896286/ /pubmed/31805928 http://dx.doi.org/10.1186/s12916-019-1455-x Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Wiles, Louise K. de Wet, Carl Dalton, Chris Murphy, Elisabeth Harris, Mark F. Hibbert, Peter D. Molloy, Charlotte J. Arnolda, Gaston Ting, Hsuen P. Braithwaite, Jeffrey The quality of preventive care for pre-school aged children in Australian general practice |
title | The quality of preventive care for pre-school aged children in Australian general practice |
title_full | The quality of preventive care for pre-school aged children in Australian general practice |
title_fullStr | The quality of preventive care for pre-school aged children in Australian general practice |
title_full_unstemmed | The quality of preventive care for pre-school aged children in Australian general practice |
title_short | The quality of preventive care for pre-school aged children in Australian general practice |
title_sort | quality of preventive care for pre-school aged children in australian general practice |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6896286/ https://www.ncbi.nlm.nih.gov/pubmed/31805928 http://dx.doi.org/10.1186/s12916-019-1455-x |
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