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How do respondents of primary care surveys compare to typical users of primary care? A comparison of two surveys

BACKGROUND: Primary care surveys are a key source of evaluative data; understanding how survey respondents compare to the intended population is important to understand results in context. The objective of this study was to examine the physician and patient representativeness of two primary care sur...

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Autores principales: Cronin, Shawna, Li, Allanah, Bai, Yu Qing, Ammi, Mehdi, Hogg, William, Wong, Sabrina T., Wodchis, Walter P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10037805/
https://www.ncbi.nlm.nih.gov/pubmed/36959533
http://dx.doi.org/10.1186/s12875-023-02029-1
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author Cronin, Shawna
Li, Allanah
Bai, Yu Qing
Ammi, Mehdi
Hogg, William
Wong, Sabrina T.
Wodchis, Walter P.
author_facet Cronin, Shawna
Li, Allanah
Bai, Yu Qing
Ammi, Mehdi
Hogg, William
Wong, Sabrina T.
Wodchis, Walter P.
author_sort Cronin, Shawna
collection PubMed
description BACKGROUND: Primary care surveys are a key source of evaluative data; understanding how survey respondents compare to the intended population is important to understand results in context. The objective of this study was to examine the physician and patient representativeness of two primary care surveys (TRANSFORMATION and QUALICOPC) that each used different sampling and recruitment techniques. METHODS: We linked the physician and patient participants of the two surveys to health administrative databases. Patients were compared to other patients visiting the practice on the same day and other randomly selected dates using sociodemographic data, chronic disease diagnosis, and health system utilization. Physicians were compared to other physicians in the same practice, and other physicians in the intended geographic area using sociodemographic and practice characteristics. RESULTS: Physician respondents of the TRANSFORMATION survey included more males compared to their practice groups, but not to other physicians in the area. TRANSFORMATION physicians cared for a larger roster of patients than other physicians in the area. Patient respondents of the QUALICOPC survey did not have meaningful differences from other patients who visit the practice. Patient respondents of the TRANSFORMATION survey resided in more rural areas, had less chronic disease, and had lower use of health services than other patients visiting the practice. CONCLUSION: Differences in survey recruitment methods at the physician and patient level may help to explain some of the differences in representativeness. When conducting primary care surveys, investigators should consider diverse methods of ensuring representativeness to limit the potential for nonresponse bias. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12875-023-02029-1.
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spelling pubmed-100378052023-03-25 How do respondents of primary care surveys compare to typical users of primary care? A comparison of two surveys Cronin, Shawna Li, Allanah Bai, Yu Qing Ammi, Mehdi Hogg, William Wong, Sabrina T. Wodchis, Walter P. BMC Prim Care Research BACKGROUND: Primary care surveys are a key source of evaluative data; understanding how survey respondents compare to the intended population is important to understand results in context. The objective of this study was to examine the physician and patient representativeness of two primary care surveys (TRANSFORMATION and QUALICOPC) that each used different sampling and recruitment techniques. METHODS: We linked the physician and patient participants of the two surveys to health administrative databases. Patients were compared to other patients visiting the practice on the same day and other randomly selected dates using sociodemographic data, chronic disease diagnosis, and health system utilization. Physicians were compared to other physicians in the same practice, and other physicians in the intended geographic area using sociodemographic and practice characteristics. RESULTS: Physician respondents of the TRANSFORMATION survey included more males compared to their practice groups, but not to other physicians in the area. TRANSFORMATION physicians cared for a larger roster of patients than other physicians in the area. Patient respondents of the QUALICOPC survey did not have meaningful differences from other patients who visit the practice. Patient respondents of the TRANSFORMATION survey resided in more rural areas, had less chronic disease, and had lower use of health services than other patients visiting the practice. CONCLUSION: Differences in survey recruitment methods at the physician and patient level may help to explain some of the differences in representativeness. When conducting primary care surveys, investigators should consider diverse methods of ensuring representativeness to limit the potential for nonresponse bias. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12875-023-02029-1. BioMed Central 2023-03-24 /pmc/articles/PMC10037805/ /pubmed/36959533 http://dx.doi.org/10.1186/s12875-023-02029-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Cronin, Shawna
Li, Allanah
Bai, Yu Qing
Ammi, Mehdi
Hogg, William
Wong, Sabrina T.
Wodchis, Walter P.
How do respondents of primary care surveys compare to typical users of primary care? A comparison of two surveys
title How do respondents of primary care surveys compare to typical users of primary care? A comparison of two surveys
title_full How do respondents of primary care surveys compare to typical users of primary care? A comparison of two surveys
title_fullStr How do respondents of primary care surveys compare to typical users of primary care? A comparison of two surveys
title_full_unstemmed How do respondents of primary care surveys compare to typical users of primary care? A comparison of two surveys
title_short How do respondents of primary care surveys compare to typical users of primary care? A comparison of two surveys
title_sort how do respondents of primary care surveys compare to typical users of primary care? a comparison of two surveys
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10037805/
https://www.ncbi.nlm.nih.gov/pubmed/36959533
http://dx.doi.org/10.1186/s12875-023-02029-1
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