Evidence map›Paper›PMID 36276353›Full record

ArticleFrontiers in public health2022

Factors associated with access to healthcare services for older adults with limited activities of daily living.

Shumin Mai, Jingjing Cai, Lu Li

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
4.2field-weighted citation impact, top 5% of its field
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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

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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 at 1 institution in 1 country.

Shumin MaiThe Institute of Social and Family Medicine, School of Medicine, Zhejiang University, Hangzhou, China.
Jingjing CaiThe Institute of Social and Family Medicine, School of Medicine, Zhejiang University, Hangzhou, China.
Lu LiThe Institute of Social and Family Medicine, School of Medicine, Zhejiang University, Hangzhou, China.
Zhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Limited studies focused on the situation and related factors of access to healthcare services for older adults with limited activities of daily living (ADL) in China. This study explores factors associated with access to healthcare services of them based on Andersen's healthcare utilization model (namely, need, predisposing, and enabling dimensions). Methods: A total of 3,980 participants aged 65 years and older adults with limited ADL from the latest wave (2018) of the Chinese Longitudinal Healthy Longevity Survey (CLHLS) were included. Binary logistic regression was used to explore the influencing factors. Results: Factors in enabling dimension were associated with access to healthcare services for older adults with limited ADL. Those who lived with better economic status (fair vs poor, OR = 2.98, Conclusion: Access to healthcare services for older adults with ADL limitation was mainly related to the factors of economic status, affordability for daily life, and living regions in enabling dimension. Strategies focused on health insurance, healthcare system, barrier-free facilities, and social support were proposed to increase the access to healthcare services for participants, which could benefit their health.

Indexed as

Activities of Daily LivingInsurance, HealthAgedChinaDelivery of Health CareHumansSocioeconomic Factorsaccess to healthcare servicesactive agingactivities of daily livingAndersen's healthcare utilization modelolder adult

Identifiers

PMID36276353
PMCPMC9583939
OpenAlexW4302307138

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.