Evidence map›Paper›PMID 32977813›Full record

ArticleInternational journal for equity in health2020

Does healthcare inequity reflect variations in peoples' abilities to access healthcare? Results from a multi-jurisdictional interventional study in two high-income countries.

Jeannie Haggerty, Jean-Frederic Levesque, Mark Harris, Catherine Scott, Simone Dahrouge, Virginia Lewis, Emilie Dionne, Nigel Stocks, Grant Russell

Open access · goldAbstract read
In one paragraph

Article in International journal for equity in health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
8.5field-weighted citation impact, top 2% 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

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 62 citations in OpenAlex.

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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

9 authors at 5 institutions in 2 countries.

Jeannie HaggertySt. Mary's Research Centre and Department of Family Medicine, McGill University, Montreal, Quebec, Canada. jeannie.haggerty@mcgill.ca.ORCID 0000-0002-2473-3861
Jean-Frederic LevesqueAgency for Clinical Innovation and Centre for Primary Healthcare and Equity, University of NSW, Sydney, Australia.
Mark HarrisCentre for Primary Healthcare and Equity, University of NSW, Sydney, Australia.
Catherine ScottPolicyWise for Children & Families, Calgary, Canada.
Simone DahrougeBruyère Research Institute, University of Ottawa, Ottawa, Canada.
Virginia LewisAustralian Institute for Primary Care and Ageing, La Trobe University, Melbourne, Australia.
Emilie DionneSt. Mary's Research Centre, McGill University, Montreal, Canada.
Nigel StocksDiscipline of General Practice, University of Adelaide, Adelaide, Australia.
Grant RussellDepartment of General Practice, Faculty of Medicine Nursing and Health Sciences, Monash University, Melbourne, Australia.
McGill University Health Centre · CALa Trobe University · AUMonash University · AUThe University of Adelaide · AUUniversity of Ottawa · CA

Funding

CIHR TTF-130729
6 · The paper itself

Abstract

backgroundPrimary healthcare services must respond to the healthcare-seeking needs of persons with a wide range of personal and social characteristics. In this study, examined whether socially vulnerable persons exhibit lower abilities to access healthcare. First, we examined how personal and social characteristics are associated with the abilities to access healthcare described in the patient-centered accessibility framework and with the likelihood of reporting problematic access. We then examined whether higher abilities to access healthcare are protective against problematic access. Finally, we explored whether social vulnerabilities predict problematic access after accounting for abilities to access healthcare.

methodsThis is an exploratory analysis of pooled data collected in the Innovative Models Promoting Access-To-Care Transformation (IMPACT) study, a Canadian-Australian research program that aimed to improve access to primary healthcare for vulnerable populations. This specific analysis is based on 284 participants in four study regions who completed a baseline access survey. Hierarchical linear regression models were used to explore the effects of personal or social characteristics on the abilities to access care; logistic regression models, to determine the increased or decreased likelihood of problematic access.

resultsThe likelihood of problematic access varies by personal and social characteristics. Those reporting at least two social vulnerabilities are more likely to experience all indicators of problematic access except hospitalizations. Perceived financial status and accumulated vulnerabilities were also associated with lower abilities to access care. Higher scores on abilities to access healthcare are protective against most indicators of problematic access except hospitalizations. Logistic regression models showed that ability to access is more predictive of problematic access than social vulnerability.

conclusionsWe showed that those at higher risk of social vulnerability are more likely to report problematic access and also have low scores on ability to seek, reach, pay, and engage with healthcare. Equity-oriented healthcare interventions should pay particular attention to enhancing people's abilities to access care in addition to modifying organizational processes and structures that reinforce social systems of discrimination or exclusion.

Indexed as

Healthcare DisparitiesAdultAgedAustraliaCanadaFemaleHealth Services AccessibilityHumansMaleMiddle AgedPrimary Health CareHealth services accessibilityPrimary health careSocial characteristicsVulnerable population

Identifiers

PMID32977813
PMCPMC7517796
OpenAlexW3087950327

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.