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Assessing the representativeness of physician and patient respondents to a primary care survey using administrative data

BACKGROUND: QUALICOPC is an international survey of primary care performance. QUALICOPC data have been used in several studies, yet the representativeness of the Canadian QUALICOPC survey is unknown, potentially limiting the generalizability of findings. This study examined the representativeness of...

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Autores principales: Li, Allanah, Cronin, Shawna, Bai, Yu Qing, Walker, Kevin, Ammi, Mehdi, Hogg, William, Wong, Sabrina T., Wodchis, Walter P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5977493/
https://www.ncbi.nlm.nih.gov/pubmed/29848292
http://dx.doi.org/10.1186/s12875-018-0767-9
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author Li, Allanah
Cronin, Shawna
Bai, Yu Qing
Walker, Kevin
Ammi, Mehdi
Hogg, William
Wong, Sabrina T.
Wodchis, Walter P.
author_facet Li, Allanah
Cronin, Shawna
Bai, Yu Qing
Walker, Kevin
Ammi, Mehdi
Hogg, William
Wong, Sabrina T.
Wodchis, Walter P.
author_sort Li, Allanah
collection PubMed
description BACKGROUND: QUALICOPC is an international survey of primary care performance. QUALICOPC data have been used in several studies, yet the representativeness of the Canadian QUALICOPC survey is unknown, potentially limiting the generalizability of findings. This study examined the representativeness of QUALICOPC physician and patient respondents in Ontario using health administrative data. METHODS: This representativeness study linked QUALICOPC physician and patient respondents in Ontario to health administrative databases at the Institute for Clinical Evaluative Sciences. Physician respondents were compared to other physicians in their practice group and all Ontario primary care physicians on demographic and practice characteristics. Patient respondents were compared to other patients rostered to their primary care physicians, patients rostered to their physicians’ practice groups, and a random sample of Ontario residents on sociodemographic characteristics, morbidity, and health care utilization. Standardized differences were calculated to compare the distribution of characteristics across cohorts. RESULTS: QUALICOPC physician respondents included a higher proportion of younger, female physicians and Canadian medical graduates compared to other Ontario primary care physicians. A higher proportion of physician respondents practiced in Family Health Team models, compared to the provincial proportion for primary care physicians. QUALICOPC patient respondents were more likely to be older and female, with significantly higher levels of morbidity and health care utilization, compared with the other patient groups examined. However, when looking at the QUALICOPC physicians’ whole rosters, rather than just the patient survey respondents, the practice profiles were similar to those of the other physicians in their practice groups and Ontario patients in general. CONCLUSIONS: Comparisons revealed some differences in responding physicians’ demographic and practice characteristics, as well as differences in responding patients’ characteristics compared to the other patient groups tested, which may have resulted from the visit-based sampling strategy. Ontario QUALICOPC physicians had similar practice profiles as compared to non-participating physicians, providing some evidence that the participating practices are representative of other non-participating practices, and patients selected by visit-based sampling may also be representative of visiting patients in other practices. Those using QUALICOPC data should understand this limited representativeness when generalizing results, and consider the potential for bias in their analyses. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12875-018-0767-9) contains supplementary material, which is available to authorized users.
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spelling pubmed-59774932018-06-06 Assessing the representativeness of physician and patient respondents to a primary care survey using administrative data Li, Allanah Cronin, Shawna Bai, Yu Qing Walker, Kevin Ammi, Mehdi Hogg, William Wong, Sabrina T. Wodchis, Walter P. BMC Fam Pract Research Article BACKGROUND: QUALICOPC is an international survey of primary care performance. QUALICOPC data have been used in several studies, yet the representativeness of the Canadian QUALICOPC survey is unknown, potentially limiting the generalizability of findings. This study examined the representativeness of QUALICOPC physician and patient respondents in Ontario using health administrative data. METHODS: This representativeness study linked QUALICOPC physician and patient respondents in Ontario to health administrative databases at the Institute for Clinical Evaluative Sciences. Physician respondents were compared to other physicians in their practice group and all Ontario primary care physicians on demographic and practice characteristics. Patient respondents were compared to other patients rostered to their primary care physicians, patients rostered to their physicians’ practice groups, and a random sample of Ontario residents on sociodemographic characteristics, morbidity, and health care utilization. Standardized differences were calculated to compare the distribution of characteristics across cohorts. RESULTS: QUALICOPC physician respondents included a higher proportion of younger, female physicians and Canadian medical graduates compared to other Ontario primary care physicians. A higher proportion of physician respondents practiced in Family Health Team models, compared to the provincial proportion for primary care physicians. QUALICOPC patient respondents were more likely to be older and female, with significantly higher levels of morbidity and health care utilization, compared with the other patient groups examined. However, when looking at the QUALICOPC physicians’ whole rosters, rather than just the patient survey respondents, the practice profiles were similar to those of the other physicians in their practice groups and Ontario patients in general. CONCLUSIONS: Comparisons revealed some differences in responding physicians’ demographic and practice characteristics, as well as differences in responding patients’ characteristics compared to the other patient groups tested, which may have resulted from the visit-based sampling strategy. Ontario QUALICOPC physicians had similar practice profiles as compared to non-participating physicians, providing some evidence that the participating practices are representative of other non-participating practices, and patients selected by visit-based sampling may also be representative of visiting patients in other practices. Those using QUALICOPC data should understand this limited representativeness when generalizing results, and consider the potential for bias in their analyses. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12875-018-0767-9) contains supplementary material, which is available to authorized users. BioMed Central 2018-05-30 /pmc/articles/PMC5977493/ /pubmed/29848292 http://dx.doi.org/10.1186/s12875-018-0767-9 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
Li, Allanah
Cronin, Shawna
Bai, Yu Qing
Walker, Kevin
Ammi, Mehdi
Hogg, William
Wong, Sabrina T.
Wodchis, Walter P.
Assessing the representativeness of physician and patient respondents to a primary care survey using administrative data
title Assessing the representativeness of physician and patient respondents to a primary care survey using administrative data
title_full Assessing the representativeness of physician and patient respondents to a primary care survey using administrative data
title_fullStr Assessing the representativeness of physician and patient respondents to a primary care survey using administrative data
title_full_unstemmed Assessing the representativeness of physician and patient respondents to a primary care survey using administrative data
title_short Assessing the representativeness of physician and patient respondents to a primary care survey using administrative data
title_sort assessing the representativeness of physician and patient respondents to a primary care survey using administrative data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5977493/
https://www.ncbi.nlm.nih.gov/pubmed/29848292
http://dx.doi.org/10.1186/s12875-018-0767-9
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