Evidence map›Paper›PMID 35028025›Full record

ArticleJournal of dental sciences2022

The implementation of domiciliary dental care from a university hospital: A retrospective review of the patients and performed treatments in central Taiwan from 2010 to 2020.

Chuan-Hang Yu, Yu-Hsun Wang, Yu-Hsien Lee, Yu-Chao Chang

Abstract read
In one paragraph

Article in Journal of dental sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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  10. Current dental-associated professionals in Taiwan.Journal of dental sciences · 2023
    Article
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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

4 authors.

Chuan-Hang YuSchool of Dentistry, Chung Shan Medical University, Taichung, Taiwan.
Yu-Hsun WangDepartment of Medical Research, Chung Shan Medical University Hospital, Taichung, Taiwan.
Yu-Hsien LeeSchool of Dentistry, Chung Shan Medical University, Taichung, Taiwan.
Yu-Chao ChangSchool of Dentistry, Chung Shan Medical University, Taichung, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background/purposePeople who suffer with chronic illness, functional impairment, or cognitive impairment are not easily to visit dental clinics. Domiciliary dental care (DDC) can provide the feasible alternative for these clients. In this study, we first reported the DDC services from a university hospital in central Taiwan from 2010 to 2020. MATERIALS AND

methodsThis retrospective study collected the DDC data from Department of Dentistry, Chung Shan Medical University Hospital, Taichung, Taiwan. The data including age, sex, geographic locations, place of residence, grade of disability, and type of dental treatment for the patients were obtained and analyzed.

resultsA total of 419 patients (168 females and 251 males) who received dental treatment were included in the study. The average age was 57.4 years old. The total DDC services were up to 2444 visits. The top of place of residence for DDC is patient's home (231/419; 55.13%). Scaling was the most common type of dental treatment for DDC (317/419; 75.67%). The male patients whose age <60 years old had received more DDC (p = 0.002). The profound grade of disability had higher DDC in age <60 years old group (p < 0.001).

conclusionTaken together, this study demonstrates the demographic data of DDC in central Taiwan. The results may be valuable for governmental policy to improve the availability of DDC and in turn to facilitate oral health in this specific group of dental patients.

Indexed as

Central TaiwanDomiciliary dental careRetrospective study

Identifiers

PMID35028025
PMCPMC8740079

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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.