Abstract

BackgroundQUALICOPC 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.MethodsThis 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.ResultsQUALICOPC 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.ConclusionsComparisons 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.

Highlights

  • QUALICOPC is an international survey of primary care performance

  • Ongoing primary care reform in Canada and around the world has spurred a need for comprehensive and meaningful measurement of primary care performance [1]. This is the case for primary care in the Canadian province of Ontario, where, despite being publicly funded and central to the health care system, there is a paucity of high quality data on primary care performance [2]

  • The objective of the current study was to examine the representativeness of QUALICOPC physician and patient respondents in Ontario by answering the following questions: 1) To what extent are the QUALICOPC physician respondents representative of i) the physicians in their practice group, and ii) other primary care physicians in Ontario?

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Summary

Introduction

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. While response rate is sometimes used as a marker of survey quality, Halbesleben and Whitman advocate for looking beyond response rates when assessing the quality of survey data [4] They recommend examining nonresponse bias, which occurs when there is a systematic difference between those who do and do not respond to a survey [4]. One common method of assessing nonresponse bias in physician surveys is to compare respondents and nonrespondents, on the basis of demographic and practice characteristics [5,6,7,8,9,10,11,12,13]. These comparisons have identified differences in responding physicians compared to nonrespondents, including differences in age, gender, and years of schooling [7, 8]

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