Evidence map›Paper›PMID 36638087›Full record

ArticlePloS one2023

Usual source of care and access to care in the US: 2005 vs. 2015.

De-Chih Lee, Leiyu Shi, Jing Wang, Gang Sun

Abstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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  11. Population assessment of health system performance in 16 countries.Bulletin of the World Health Organization · 2024
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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.

De-Chih LeeDepartment of Information Management, Da-Yeh University, Changhua, Taiwan, R.O.C.
Leiyu ShiJohns Hopkins Primary Care Policy Center, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America.
Jing WangJohns Hopkins Primary Care Policy Center, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America.
Gang SunDepartment of Health Management, School of Health Management, Southern Medical University, Guangzhou, Guangdong, China.ORCID 0000-0002-9642-2886

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe study examined the association of usual source of care (USC) and healthcare access using a series of access indicators including both positive and negative measures for the US population in 2005 and 2015 while controlling for individual sociodemographic and socioeconomic characteristics. Results of the study would help advance the knowledge of the relationship between USC and access to care and assist decisionmakers in targeted interventions to enhance USC as a strategy to enhance access.

methodsThe household component of the US Medical Expenditure Panel Survey (MEPS-HC) in 2005 and 2015 were used for the study. To estimate the relative risk of having USC on access to care, odds ratios (ORs) and their 95% confidence intervals (CIs) were used with unconditional logistic regression and adjusted for socioeconomic and demographic characteristics.

resultsThose with USC were significantly more likely to have better access to care compared to those without USC. The USC-access connection remains significant and strong even after controlling for socioeconomic and demographic characteristics. Regarding subpopulations likely to lack USC, two notable findings are that racial/ethnic minorities (Black, Asian, and Hispanic) are more likely than White to lack USC and that those uninsured are more likely to lack USC.

conclusionThe study contributes to the literature on USC and access to care and has significant policy and practical implications. For example, having a USC is critical to accessing the health system and is particularly important as a tool to addressing racial disparities in access.

Indexed as

Health Services AccessibilityInsurance, HealthAsianBlack or African AmericanHispanic or LatinoHumansMedical AssistanceSocioeconomic FactorsUnited StatesWhite

Identifiers

PMID36638087
PMCPMC9838861

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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.