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Are low and high utilization related to the way GPs manage their practices? An observational study
BACKGROUND: General practice care plays a key role in keeping healthcare effective and cost-efficient. However, variation in the utilization rates of practices may reveal variation in practice performance. Our research goal is to investigate whether the socio-demographic profile of the patients’ are...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5921999/ https://www.ncbi.nlm.nih.gov/pubmed/29699492 http://dx.doi.org/10.1186/s12875-018-0732-7 |
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author | de Graaf-Ruizendaal, W. A. van der Hoek, L. de Bakker, D. H. |
author_facet | de Graaf-Ruizendaal, W. A. van der Hoek, L. de Bakker, D. H. |
author_sort | de Graaf-Ruizendaal, W. A. |
collection | PubMed |
description | BACKGROUND: General practice care plays a key role in keeping healthcare effective and cost-efficient. However, variation in the utilization rates of practices may reveal variation in practice performance. Our research goal is to investigate whether the socio-demographic profile of the patients’ area of residence and practice organization characteristics influence the low or high utilization of general practice care. METHODS: Data on the utilization of general practice care were derived from the electronic health records of 232 general practices participating in the NIVEL Primary Care Database for the year 2013. Census data for the year 2013 were matched with the postal code of the patients. A small area estimation (SAE) technique was used to calculate the estimated utilization rate for general practice care per practice based on the socio-demographic profile of the patients’ area of residence. Subsequently, the actual utilization rates were compared to the estimated rates per practice. Linear regression analysis was used to link the differences between the actual and estimated utilization rates to practice organization characteristics. RESULTS: The socio-demographic profile of the patients’ area of residence accounted for 25.7% of the estimated utilization rates per practice. Practice organization characteristics accounted for 19.3% of the difference between the actual utilization rates and the estimated rates. Practices had higher utilization rates than estimated when a practice was a dual practice, when it employed female GPs, when it employed other healthcare providers and/or when it offered more services related to a disease management programme. CONCLUSION: We found that utilization rates of general practice care can be partially explained by the socio-demographic profile of the patients’ area of residence, but also by practice organization characteristics. Insight into these factors provides both GPs and the other stakeholders involved in the organization of general practice care with information to help reflect on the utilization of care. |
format | Online Article Text |
id | pubmed-5921999 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-59219992018-05-01 Are low and high utilization related to the way GPs manage their practices? An observational study de Graaf-Ruizendaal, W. A. van der Hoek, L. de Bakker, D. H. BMC Fam Pract Research Article BACKGROUND: General practice care plays a key role in keeping healthcare effective and cost-efficient. However, variation in the utilization rates of practices may reveal variation in practice performance. Our research goal is to investigate whether the socio-demographic profile of the patients’ area of residence and practice organization characteristics influence the low or high utilization of general practice care. METHODS: Data on the utilization of general practice care were derived from the electronic health records of 232 general practices participating in the NIVEL Primary Care Database for the year 2013. Census data for the year 2013 were matched with the postal code of the patients. A small area estimation (SAE) technique was used to calculate the estimated utilization rate for general practice care per practice based on the socio-demographic profile of the patients’ area of residence. Subsequently, the actual utilization rates were compared to the estimated rates per practice. Linear regression analysis was used to link the differences between the actual and estimated utilization rates to practice organization characteristics. RESULTS: The socio-demographic profile of the patients’ area of residence accounted for 25.7% of the estimated utilization rates per practice. Practice organization characteristics accounted for 19.3% of the difference between the actual utilization rates and the estimated rates. Practices had higher utilization rates than estimated when a practice was a dual practice, when it employed female GPs, when it employed other healthcare providers and/or when it offered more services related to a disease management programme. CONCLUSION: We found that utilization rates of general practice care can be partially explained by the socio-demographic profile of the patients’ area of residence, but also by practice organization characteristics. Insight into these factors provides both GPs and the other stakeholders involved in the organization of general practice care with information to help reflect on the utilization of care. BioMed Central 2018-04-25 /pmc/articles/PMC5921999/ /pubmed/29699492 http://dx.doi.org/10.1186/s12875-018-0732-7 Text en © The Author(s). 2018 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 de Graaf-Ruizendaal, W. A. van der Hoek, L. de Bakker, D. H. Are low and high utilization related to the way GPs manage their practices? An observational study |
title | Are low and high utilization related to the way GPs manage their practices? An observational study |
title_full | Are low and high utilization related to the way GPs manage their practices? An observational study |
title_fullStr | Are low and high utilization related to the way GPs manage their practices? An observational study |
title_full_unstemmed | Are low and high utilization related to the way GPs manage their practices? An observational study |
title_short | Are low and high utilization related to the way GPs manage their practices? An observational study |
title_sort | are low and high utilization related to the way gps manage their practices? an observational study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5921999/ https://www.ncbi.nlm.nih.gov/pubmed/29699492 http://dx.doi.org/10.1186/s12875-018-0732-7 |
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