Evidence map›Paper›PMID 32917646›Full record

ArticleCancer prevention research (Philadelphia, Pa.)2021

Health Insurance Coverage Mandates: Colorectal Cancer Screening in the Post-ACA Era.

Michael A Preston, Levi Ross, Askar Chukmaitov, Sharla A Smith, Michelle L Odlum, Bassam Dahman, Vanessa B Sheppard

Open access · bronzeAbstract readHistorical Article
In one paragraph

Article in Cancer prevention research (Philadelphia, Pa.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact, top 87% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
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 at 4 institutions in 1 country.

Michael A PrestonDepartment of Health Behavior and Policy, Virginia Commonwealth University, Richmond, Virginia. prestonm2@vcu.edu.ORCID 0000-0003-1415-4345
Levi RossDepartment of Health Science, The University of Alabama, Tuscaloosa, Alabama.
Askar ChukmaitovDepartment of Health Behavior and Policy, Virginia Commonwealth University, Richmond, Virginia.
Sharla A SmithDepartment of Population Health, University of Kansas School of Medicine-Wichita, Wichita, Kansas.
Michelle L OdlumColumbia University School of Nursing, New York, New York.
Bassam DahmanDepartment of Health Behavior and Policy, Virginia Commonwealth University, Richmond, Virginia.
Vanessa B SheppardDepartment of Health Behavior and Policy, Virginia Commonwealth University, Richmond, Virginia.
Virginia Commonwealth University · USNew York University · USUniversity of Alabama · USWichita State University · US

Funding

Virus Vector Shared ResourceP30CA016059 · NCI · VIRGINIA COMMONWEALTH UNIVERSITY · PI Keri R Maher · 1985 to 2026
$51.0M
NCI NIH HHS P30 CA016059
6 · The paper itself

Abstract

Building a culture of precision public health requires research that includes health delivery model with innovative systems, health policies, and programs that support this vision. Health insurance mandates are effective mechanisms that many state policymakers use to increase the utilization of preventive health services, such as colorectal cancer screening. This study estimated the effects of health insurance mandate variations on colorectal cancer screening post Affordable Care Act (ACA) era. The study analyzed secondary data from the Behavioral Risk Factor Surveillance System (BRFSS) and the NCI State Cancer Legislative Database (SCLD) from 1997 to 2014. BRFSS data were merged with SCLD data by state ID. The target population was U.S. adults, age 50 to 74, who lived in states where health insurance was mandated or nonmandated before and after the implementation of ACA. Using a difference-in-differences (DD) approach with a time-series analysis, we evaluated the effects of health insurance mandates on colorectal cancer screening status based on U.S. Preventive Services Task Force guidelines. The adjusted average marginal effects from the DD model indicate that health insurance mandates increased the probability of up-to-date screenings versus noncompliance by 2.8% points, suggesting that an estimated 2.37 million additional age-eligible persons would receive a screening with such health insurance mandates. Compliant participants' mean age was 65 years and 57% were women (

Indexed as

AgedAge FactorsColorectal NeoplasmsEarly Detection of CancerFemaleHealth ExpendituresHistory, 20th CenturyHistory, 21st CenturyHumansInsurance CoverageMaleMiddle AgedPatient CompliancePatient Protection and Affordable Care ActSex FactorsUnited States

Identifiers

PMID32917646
PMCPMC7947034
OpenAlexW3085469721

What OpenQuestion holds

Textmetadata
LicenceTDM
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.