Evidence map›Paper›PMID 36959533›Full record

ArticleBMC primary care2023

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

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

Open access · goldFull text read
In one paragraph

Article in BMC primary care, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 18% of its field
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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
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

7 authors at 5 institutions in 1 country.

Shawna CroninInstitute of Health Policy, Management and Evaluation, University of Toronto, 155 College St, Unit 425, Toronto, Canada. shawna.cronin@mail.utoronto.ca.
Allanah LiInstitute of Health Policy, Management and Evaluation, University of Toronto, 155 College St, Unit 425, Toronto, Canada.
Yu Qing BaiInstitute of Health Policy, Management and Evaluation, University of Toronto, 155 College St, Unit 425, 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, 155 College St, Unit 425, Toronto, Canada.
University of Toronto · CACarleton University · CAInstitut du Savoir Montfort · CAInstitute for Clinical Evaluative Sciences · CAUniversity of British Columbia · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrimary 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.

methodsWe 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.

resultsPhysician 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.

conclusionDifferences 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.

Indexed as

PhysiciansChronic DiseaseHumansMalePatientsPrimary Health CareSurveys and QuestionnairesNonresponse biasPrimary health careSurvey research

Identifiers

PMID36959533
PMCPMC10037805
OpenAlexW4360806059

What OpenQuestion holds

Textfull text, public
LicenceCC BY
reference markers read1
measurements read13
Read underepoch 390

Registered trials

None linked

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.