Evidence map›Paper›PMID 29848292›Full record

ArticleBMC family practice2018

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

Allanah Li, Shawna Cronin, Yu Qing Bai, Kevin Walker, Mehdi Ammi, William Hogg, Sabrina T Wong, Walter P Wodchis

Abstract read
In one paragraph

Article in BMC family practice, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Allanah LiInstitute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Canada. allanah.li@mail.utoronto.ca.ORCID 0000-0002-3963-4559
Shawna CroninInstitute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Canada.
Yu Qing BaiInstitute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Canada.
Kevin WalkerInstitute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Canada.
Mehdi AmmiSchool of Public Policy & Administration, Carleton University, Ottawa, Canada.
William HoggDepartment of Family Medicine, University of Ottawa, Ottawa, Canada.
Sabrina T WongSchool of Nursing, University of British Columbia, Vancouver, Canada.
Walter P WodchisInstitute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Health Care SurveysBiasCanadaCross-Sectional StudiesHumansPatientsPhysicians, Primary CarePractice Patterns, Physicians'Primary Health CareSurveys and QuestionnairesCanadaPrimary careRepresentativenessSurvey bias

Identifiers

PMID29848292
PMCPMC5977493

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.