Evidence map›Paper›PMID 38027085›Full record

ArticlePatient preference and adherence2023

Predictors of Medical Care Delay or Avoidance Among Chinese Adults During the COVID-19 Pandemic.

Lili Kang, Changle Li, Huifeng Du

Open access · goldAbstract read
In one paragraph

Article in Patient preference and adherence, 2023. 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
1.5field-weighted citation impact, top 17% 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

4 citing papers in PubMed, 5 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 2 institutions in 1 country.

Lili KangSchool of Health Management, Fujian Medical University, Fuzhou, People's Republic of China.
Changle LiSchool of Health Management, Fujian Medical University, Fuzhou, People's Republic of China.
Huifeng DuSchool of Health Management, Inner Mongolia Medical University, Hohhot, People's Republic of China.
Fujian Medical University · CNInner Mongolia Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Medical care delay or avoidance increases morbidity and mortality risk and is costly for the national healthcare system. The objective of this study was to identify factors associated with medical care delay or avoidance among Chinese adults during the COVID-19 pandemic. Materials and Methods: A cross-sectional analysis was conducted using data from the 2020 China Family Panel Study (CFPS). The CFPS was conducted from July to December 2020 during the COVID-19 pandemic. The final sample included 4369 adults. A logistic regression model was employed to identify the factors associated with medical care delay or avoidance. Results: The empirical results indicate that regardless of rural-urban residence, older adults and adults with chronic conditions were less likely to delay or avoid medical care during the pandemic. However, individuals who had completed more than three years of college showed a higher likelihood of delaying or avoiding medical care. In urban areas, larger family sizes, greater general trust in physicians, and higher provider structural quality were associated with a decreased probability of delaying or avoiding medical care during the pandemic. In contrast, employed adults were more likely to delay or avoid medical care. In rural areas, current smokers were more likely to delay or avoid medical care during the pandemic. Conclusion: This study has identified several factors affecting medical care delay or avoidance, some of which are amenable to policy changes. Policymakers can help improve the utilization of health facilities and patient health outcomes by implementing a series of reforms.

Indexed as

ChinaCOVID-19 pandemicdelay or avoidance behaviormedical care

Identifiers

PMID38027085
PMCPMC10680038
OpenAlexW4388879511

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.