Evidence map›Paper›PMID 41585161›Full record

ArticleJournal of dental sciences2026

Domiciliary dental care coverage in Taiwan: An assessment of provider participation and geographic distribution using the universal health coverage framework.

Chuan-Hang Yu

Abstract read
In one paragraph

Article in Journal of dental sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Chuan-Hang YuSchool of Dentistry, Chung Shan Medical University, Taichung, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background/purpose: Universal health coverage (UHC) ensures access to needed health services without financial hardship. While Taiwan has achieved near-universal coverage for most medical services, domiciliary dental care (DDC) for people with mobility limitations remains poorly integrated into the UHC framework. This study assessed DDC coverage in Taiwan using the World Health Organization UHC framework. Materials and methods: Publicly available 2024 data were analyzed for dental institutions, practicing dentists, DDC providers, and long-term care populations across Taiwan's six National Health Insurance (NHI) regions and 22 administrative districts. Geographic distribution was examined using provider density metrics, Lorenz curves, and Gini coefficients. Results: Among 7560 dental institutions, only 102 (1.3 %) provided DDC services, while 163 of 16,690 dentists (1.0 %) participated. Of 892,117 people who required long-term care, 23,379 (2.6 %) received DDC services. DDC represented 3.1 % of special needs dental services budget utilization. Geographic distribution demonstrated excellent equity with Gini coefficients of 0.064-0.082 and Lorenz curves above the equality line, indicating pro-rural distribution. However, service provision varied substantially: three districts had zero coverage, regional participation ranged from 0.5 % to 4.1 %, and provider density ranged from 0.7 to 3.9 per 10,000 people requiring care. Conclusion: Despite comprehensive financial protection and equitable geographic distribution, critically low provider participation creates severe supply constraints that prevent most people requiring long-term care from accessing domiciliary oral health services. Taiwan has achieved equity in DDC distribution but not adequacy of supply, revealing substantial gaps in UHC achievement for vulnerable populations.

Indexed as

Dental care for disabledDomiciliary dental careHealth equityHealth services accessibilityTaiwanUniversal health coverage

Identifiers

PMID41585161
PMCPMC12826006

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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.