ArticleCureus2023
Association of a Patient's Type of Insurance With Preventive Service Delivery.
Article in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed, 4 citations in OpenAlex.
- Article
- Factors associated with cervical cancer screening participation in Southwest China: a retrospective database-based cross-sectional study.Frontiers in medicine · 2026Article
- Enhancing pharmacist intervention targeting based on patient clustering with unsupervised machine learning.Expert review of pharmacoeconomics & outcomes research · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction Chronic disease or death associated with chronic disease is often avoidable with proper interventions, including preventive services in healthcare settings. However, preventive service delivery rates by physicians are low. This study examined the association between preventive services and the type of patient insurance, as well as the association between the duration of an office visit and the type of patient insurance. Methods A retrospective observational cohort study was conducted using multivariate logistic regression. Pooled data on physician office-based visits from the 2011-2016 and 2018 National Ambulatory Medical Care Survey (NAMCS) were used in this analysis. The main measures observed were the odds of providing preventive services as they related to the type of patient insurance. Preventive measures assessed were those recommended by the United States Preventive Services Task Force with an A or B grade, applicable to most adults 18-64. Additionally, the mean office visit duration was analyzed based on the type of insurance. Results The odds of receiving cervical cancer screenings and tobacco smoking cessation screenings were 47% (p <0.01) and 31% (p =0.10) lower with Medicaid than private insurance, respectively. The odds of receiving blood pressure screenings and cervical cancer screenings were 43% (p =0.01) and 62% (p <0.01) lower in uninsured office visits compared to private insurance, respectively. Compared to private insurance, Medicaid and uninsured visits were 2.68 minutes and 1.97 minutes shorter in duration, respectively (p <0.05). Conclusions An association was found between the type of patient's insurance and the odds of providing preventive services. If the aim of healthcare is to improve the incidence of chronic disease or death associated with chronic disease, preventive services should be provided regardless of insurance type.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.