Evidence map›Paper›PMID 32650762›Full record

ArticleBMC health services research2020

Geographic availability to optometry services across Canada: mapping distribution, need and self-reported use.

Tayyab Shah, Stephan Milosavljevic, Brenna Bath

Abstract read
In one paragraph

Article in BMC health services research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 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

3 authors.

Tayyab ShahSchool of Rehabilitation Science, University of Saskatchewan, Suite 3400, 3rd Floor, 104 Clinic Pl, Saskatoon, Saskatchewan, S7N 2Z4, Canada.ORCID https://orcid.org/0000-0002-5328-7899
Stephan MilosavljevicSchool of Rehabilitation Science, University of Saskatchewan, Rm 3410, Health Sciences Building, 104 Clinic Place PO Box 23, Saskatoon, Saskatchewan, S7N 2Z4, Canada.ORCID https://orcid.org/0000-0001-8938-5290
Brenna BathSchool of Rehabilitation Science and Canadian Centre for Health and Safety in Agriculture (CCHSA), University of Saskatchewan, Rm 1340 - E wing - Health Sciences Building, 104 Clinic Place PO Box 23, Saskatoon, Saskatchewan, S7N 2Z4, Canada. brenna.bath@usask.ca.ORCID https://orcid.org/0000-0001-7968-3198

Funding

Canadian Association of Optometrists N/A
6 · The paper itself

Abstract

backgroundThis research investigates the distribution of optometrists in Canada relative to population health needs and self-reported use of vision services.

methodsOptometrist locations were gathered from provincial regulatory bodies. Optometrist-to-population ratios (i.e. the number of providers per 10,000 people at the health region level) were then calculated. Utilization of vision care services was extracted from the Canadian Community Health Survey (CCHS) 2013-2014 question regarding self-reported contacts with optometrists or ophthalmologists. Data from the 2016 Statistics Canada census were used to create three population 'need' subgroups (65 years and over; low-income; and people aged 15 and over with less than a high school diploma). Cross-classification mapping compared optometrist distribution to self-reported use of vision care services in relation to need. Each variable was converted into three classes (i.e., low, moderate, and high) using a standard deviation (SD) classification scheme where ±0.5SD from the mean was considered as a cut-off. Three classes: low (< - 0.5SD), moderate (- 0.5 to 0.5SD), and high (> 0.5SD) were used for demonstrating distribution of each variable across health regions.

resultsA total of 5959 optometrists across ten Canadian provinces were included in this analysis. The nationwide distribution of optometrists is variable across Canada; they are predominantly concentrated in urban areas. The national mean ratio of optometrists was 1.70 optometrists per 10,000 people (range = 0.13 to 2.92). Out of 109 health regions (HRs), 26 were classified as low ratios, 51 HRs were classified as moderate ratios, and 32 HRs were high ratios. Thirty-five HRs were classified as low utilization, 39 HRs were classified as moderate, and 32 HRs as high utilization. HRs with a low optometrist ratio relative to eye care utilization and a high proportion of key sociodemographic characteristics (e.g. older age, low income) are located throughout Canada and identified with maps indicating areas of likely greater need for optometry services.

conclusionThis research provides a nationwide overview of vision care provided by optometrists identifying gaps in geographic availability relative to "supply" and "need" factors. This examination of variation in accessibility to optometric services will be useful to inform workforce planning and policies.

Indexed as

AdolescentAdultAgedCanadaEducational StatusFemaleHealth Services AccessibilityHealth SurveysHumansMaleMiddle AgedOptometristsOptometrySelf ReportSpatial AnalysisSurveys and QuestionnairesAccess to vision careCanadian health regionsGISOptometry servicesPrimary health careSpatial patterns

Identifiers

PMID32650762
PMCPMC7350740

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.