Evidence map›Paper›PMID 39807260›Full record

ArticleJournal of dental sciences2024

Trends of dental service utilization and expenditure in Taiwan from 2000 to 2020.

Ting-Chen Chen, Wen-Chi Liu, Shih-Jung Cheng, Shih-Pi Lin, Wender Lin

Abstract read
In one paragraph

Article in Journal of dental sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 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

5 authors.

Ting-Chen ChenDepartment of Oral Health, Ministry of Health and Welfare, Taipei, Taiwan.
Wen-Chi LiuTelemedicine Center, Taipei Medical University Hospital, Taipei, Taiwan.
Shih-Jung ChengGraduate Institute of Oral Biology, School of Dentistry, National Taiwan University, Taipei, Taiwan.
Shih-Pi LinInstitute of Health Policy and Management, College of Public Health, National Taiwan University, Taipei, Taiwan.
Wender LinDepartment of Health Care Administration, Chang Jung Christian University, Tainan, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: /purposeSince 1995, Taiwan's National Health Insurance (NHI) has offered a comprehensive dental coverage to over 99 % of the population. This study mainly analyzed the dental service utilization and expenditure trends by the gender, age, and service type and evaluated the resource allocation across different demographics from 2000 to 2020. Materials and methods: Nationwide NHI administrative data were used to assess the dental visit rates, average visits per user, and per capita expenditure by the gender, age, and 11 service categories for the years 2000, 2005, 2010, 2015, and 2020. The analysis accounted for the fluctuations in the point value within the global budget system and calculated the dental expenditure across the demographic groups and service types. Results: The dental visit rates increased across all demographics, with the most substantial growth in the 0-14 age group (37.0 % in 2000 to 66.9 % in 2020). However, the visit rates for the older adults remained low at 39.5 % in 2020. Although the per capita expenditure rose significantly, the disparities persisted, with lower spending for the 65+ age group (58.5 USD) compared to the children (64.6 USD) in 2020. Operative dentistry and endodontic treatment expenditures showed declines in spending share, while preventive care and periodontal treatment expenditures increased. Conclusion: While Taiwan has made progress in increasing the dental utilization, especially for the children, challenges remain in improving access for the older adults. Policy adjustments are needed to enhance the dental care according to the diverse oral health needs of the different age groups.

Indexed as

Age-related disparitiesDental service utilizationExpenditure trendsNational health insurance (NHI)Resource allocationTaiwan

Identifiers

PMID39807260
PMCPMC11725083

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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.