Evidence map›Paper›PMID 26372930›Full record

ArticleSexually transmitted diseases2015

The Significant Impact of Different Insurance Enrollment Criteria on the HEDIS Chlamydia Screening Measure for Young Women Enrolled in Medicaid and Commercial Insurance Plans.

Chirag G Patel, Guoyu Tao

Open access · greenAbstract read
In one paragraph

Article in Sexually transmitted diseases, 2015. 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
1.0field-weighted citation impact, top 18% 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, 8 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

2 authors at 1 institution in 1 country.

Chirag G PatelFrom the *Division of STD Prevention, National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention, Atlanta, GA; and †Oak Ridge Institute of Science and Education, Oak Ridge, TN.
Guoyu Tao
National Center for HIV/AIDS Viral Hepatitis STD and TB Prevention · US

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

objectiveThe impact of length of enrollment in a health plan on eligibility of women under the Healthcare Effectiveness Data and Information Set (HEDIS) chlamydia screening measure is not fully understood. We assessed the representativeness of the measure among the proportion of women aged 15 to 24 years with a gap in coverage for Medicaid and commercial health insurance.

methodsTruven Health Marketscan Medicaid and commercial health insurance data from 2006 to 2012 were used to make comparisons between proportions of women with a gap in coverage to those enrolled in insurance plans for different numbers of months.

resultsApproximately 48% of Medicaid-insured women and 31% of commercially insured women had an at least 2-month gap that disqualified them from eligibility for inclusion in the HEDIS chlamydia screening measure. Extending eligibility to women with at least 6 months of coverage, regardless of gap, would increase the proportion of insured women included in the HEDIS measure to 76% (from 52%) for Medicaid and 83% (from 69%) for commercial insurance, without much effect on chlamydia testing rate. This would make the measure more representative of all insured women.

conclusionsThe large proportion of young women who had a 2-month or greater gap in coverage in Medicaid had a significant impact on the overall representativeness of the current HEDIS chlamydia screening measure.

Indexed as

Eligibility DeterminationAdolescentChlamydia InfectionsChlamydia trachomatisDiagnostic Tests, RoutineFamily Planning ServicesFemaleHumansInsurance CoverageInsurance, HealthManaged Care ProgramsMass ScreeningMedicaidQuality ImprovementUnited StatesWomen's Health Services

Identifiers

PMID26372930
PMCPMC6787920
OpenAlexW2439040170

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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.