Evidence map›Paper›PMID 39748167›Full record

ArticleJournal of public health dentistry2025

Exploring the association between dental insurance coverage and dental care utilization and oral health among elderly Ontarians.

Rana Badewy, Musfer Aldossri

Abstract read
In one paragraph

Article in Journal of public health dentistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 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

2 authors.

Rana BadewyDental Public Health, Faculty of Dentistry, University of Toronto, Toronto, Ontario, Canada.ORCID https://orcid.org/0000-0002-9211-611X
Musfer AldossriDepartment of Periodontics and Community Dentistry, King Saud University, College of Dentistry, Riyadh, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThere has been an increasing interest in addressing the equity issue of accessing dental care for low-income elderly. This study aimed to estimate the marginal effects (ME) of dental insurance coverage for seniors on dental care utilization and oral health status outcomes. We also estimated the ME of dental insurance across income subgroups.

methodsData was sourced from the 2017/18 Canadian Community Health Survey (CCHS)-Annual component. The ME analysis included individuals aged ≥65 years residing in Ontario (n = 10,030). ME were derived from multivariate probit regression models for dental care utilization and oral health status outcomes.

resultsDental insurance increased the likelihood of reporting excellent/very good oral health and never avoiding foods due to oral problems by 6.9% (ME:6.9, 95% CI: 5.4-8.3) and 3.5% (ME: 3.5, 95% CI: 1.9-5.1), respectively. Dental insurance increased the likelihood of dental visits within the past year by 11.3% (ME: 11.3, 95% CI: 9.8-12.8) and decreased the likelihood of dental visits only for emergencies by 11.2% (ME: -11.2, 95% CI: -12.5 to -9.9). Compared to low- and high-income groups, dental insurance had the highest ME for the middle-income groups for dental visits within the past year (ME middle: 13.1, 95% CI: 10.5-15.7) and dental visits only for emergencies (ME middle: -14.4, 95% CI: -16.0 to -12.8).

conclusionDental insurance can improve the utilization of dental care and can help mitigate the negative effects of poor oral health in elderly populations.

Indexed as

Dental CareInsurance CoverageInsurance, DentalOral HealthPatient Acceptance of Health CareAgedAged, 80 and overFemaleHumansMaleOntarioagingdental care utilizationdental insurancedental visitelderlyolder adultsoral healthself‐reported oral health

Identifiers

PMID39748167
PMCPMC11927950

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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.