Evidence map›Paper›PMID 37213787›Full record

ArticlePEC innovation2022

Sociodemographic factors and perceived patient-provider communication associated with healthcare avoidance among women with psychological distress.

Kobi V Ajayi, Sonya Panjwani, Whitney Garney, Carly E McCord

Open access · goldAbstract read
In one paragraph

Article in PEC innovation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

5 citing papers in PubMed, 6 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

4 authors at 2 institutions in 1 country.

Kobi V AjayiDepartment of Health and Kinesiology, Texas A&M University, College Station, TX, United States.
Sonya PanjwaniDepartment of Health and Kinesiology, Texas A&M University, College Station, TX, United States.
Whitney GarneyDepartment of Health and Kinesiology, Texas A&M University, College Station, TX, United States.
Carly E McCordDepartment of Psychiatry, College of Medicine, Texas A&M University, Bryan, TX, United States.
Texas A&M University · USTexas A&M Health Science Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To establish the extent to which psychological distress influences health avoidance behavior among women, controlling for patient provider communication and sociodemographic characteristics. Methods: Data from the 2019 Health Information National Trends Survey (HINTS 5, Cycle 3) was analyzed to obtain healthcare avoidance behavior among women aged 18 and older ( Results: Approximately 649 women or 1 in 4 women (26.7% weighted prevalence; 95% Confidence Interval [CI] 0.23%-0.29%) avoided healthcare in the past 12 months. Non-Hispanic white (62.8%) and married (55.4%) women represented a higher proportion of the sample. Bivariate analysis revealed that the odds of reporting healthcare avoidance among women with mild, moderate, and severe psychological distress (Odds Ratio [OR]: 2.26, 95% CI: 1.45-3.53, Conclusion: A high proportion of women with psychological distress avoid necessary healthcare. Patient-provider communication quality, increasing age, and being a high school student contribute to healthcare avoidance in women. Innovation: Strategies to improve health service utilization must address healthcare avoidance by developing effective health communication targeted at women with psychological distress.

Indexed as

Health behaviorHealth care utilizationHealth servicesPatient-provider communicationPsychological distressWomen

Identifiers

PMID37213787
PMCPMC10194386
OpenAlexW4220668759

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.