Evidence map›Paper›PMID 37645390›Full record

ArticleArthroscopy, sports medicine, and rehabilitation2023

Income and Insurance Status Impact Access to Health Care for Hip Osteoarthritis.

Erin J Youn, Caleb Shin, Ryan Haratian, Alvarho Guzman, Joo Yeon Kim, Patrick McGahan, James L Chen

Abstract read
In one paragraph

Article in Arthroscopy, sports medicine, and rehabilitation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

7 authors.

Erin J YounAdvanced Orthopedics and Sports Medicine, San Francisco, California, U.S.A.
Caleb ShinAdvanced Orthopedics and Sports Medicine, San Francisco, California, U.S.A.
Ryan HaratianDepartment of Orthopaedic Surgery, Sports Medicine & Rehabilitation, Wright State University Boonshoft School of Medicine, Dayton, Ohio, U.S.A.
Alvarho GuzmanAdvanced Orthopedics and Sports Medicine, San Francisco, California, U.S.A.
Joo Yeon KimAdvanced Orthopedics and Sports Medicine, San Francisco, California, U.S.A.
Patrick McGahanAdvanced Orthopedics and Sports Medicine, San Francisco, California, U.S.A.
James L ChenAdvanced Orthopedics and Sports Medicine, San Francisco, California, U.S.A.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To explore differences in the affordability of and accessibility to health care among adults with hip osteoarthritis with respect to race/ethnicity, income, and insurance status. Methods: This cross-sectional retrospective study was conducted using 2016 National Health Interview Survey (NHIS) data. NHIS data collection occurred continuously from January to December 2016. Individuals belonging to households and noninstitutionalized groups were included in the study. Because NHIS randomized surveys are conducted face-to-face on an annual basis, follow-up data are not collected. Results: Answers from 38,158,634 weighted respondents with a mean age of 58.33 ± 0.33 years were assessed. Among adults with hip osteoarthritis, those with public insurance had increased odds of delaying care owing to lack of transportation and had decreased odds of delaying care and follow-up care owing to cost. Individuals who were uninsured or who belonged to lower income brackets were associated with increased odds of being unable to afford or utilize health care. Conclusions: In this study, we found that income bracket and insurance status affect the accessibility to health care among adults with hip osteoarthritis in the United States. Level of Evidence: Level IV, prognostic case series.

Identifiers

PMID37645390
PMCPMC10461205

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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.