Evidence map›Paper›PMID 34666982›Full record

ArticleBJGP open2022

Routinely asking patients about income in primary care: a mixed-methods study.

Andrew David Pinto, Erica Shenfeld, Tatiana Aratangy, Ri Wang, Rosane Nisenbaum, Aisha Lofters, Gary Bloch, Tara Kiran

Abstract read
In one paragraph

Article in BJGP open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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.

Andrew David PintoUpstream Lab, MAP/Centre for Urban Health Solutions, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Canada andrew.pinto@utoronto.ca.ORCID https://orcid.org/0000-0003-1841-9347
Erica ShenfeldUpstream Lab, MAP/Centre for Urban Health Solutions, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Canada.
Tatiana AratangyMAP/Centre for Urban Health Solutions, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Canada.
Ri WangMAP/Centre for Urban Health Solutions, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Canada.
Rosane NisenbaumMAP/Centre for Urban Health Solutions, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Canada.
Aisha LoftersDepartment of Family and Community Medicine, Faculty of Medicine, University of Toronto, Toronto, Canada.
Gary BlochDepartment of Family and Community Medicine, St. Michael's Hospital, Toronto, Canada.
Tara KiranDepartment of Family and Community Medicine, St. Michael's Hospital, Toronto, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIncome is a key social determinant of health, yet it is rare for data on income to be routinely collected and integrated with electronic health records.

aimTo examine response bias and evaluate patient perspectives of being asked about income in primary care. DESIGN &

settingMixed-methods study in a large, multi-site primary care organisation in Toronto, Canada, where patients are asked about income in a routinely administered sociodemographic survey.

methodData were examined from the electronic health records of patients who answered at least one question on the survey between December 2013 and March 2016 (

resultsA total of 10 441 (73%) patients responded to both parts of the income question:

conclusionMany patients will provide data on income in the context of a survey in primary care, but accurately estimating income can be challenging. Future research should compare self-reported income to perceived financial strain. Data on income linked to health records can help identify health inequities and help target anti-poverty interventions.

Indexed as

incomeinequalitiesprimary health caresocial determinants of healthsocioeconomic factorssurveys and questionnaires

Identifiers

PMID34666982
PMCPMC8958735

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.