Evidence map›Paper›PMID 27542519›Full record

ArticleContraception2017

Implications of employer coverage of contraception: Cost-effectiveness analysis of contraception coverage under an employer mandate.

W Canestaro, E Vodicka, D Downing, J Trussell

Abstract read
In one paragraph

Article in Contraception, 2017. 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
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.

  1. Article
  2. Article
  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

4 authors.

W CanestaroUniversity of Washington School of Pharmacy, Seattle, WA 98195, USA.
E VodickaUniversity of Washington School of Pharmacy, Seattle, WA 98195, USA. Electronic address: evodicka@uw.edu.
D DowningUniversity of Washington School of Pharmacy, Seattle, WA 98195, USA.
J TrussellPrinceton University, Princeton, NJ 08544, USA.

Funding

Infrastructure for Population Research at PrincetonR24HD047879 · NICHD · PRINCETON UNIVERSITY · PI MASSEY, DOUGLAS S · 2004 to 2013
$7.3M
Scientific and Technical Computing CoreP2CHD047879 · NICHD · PRINCETON UNIVERSITY · PI MASSEY, DOUGLAS S · 2014 to 2018
$2.0M
NICHD NIH HHS P2C HD047879NICHD NIH HHS R24 HD047879
6 · The paper itself

Abstract

objectivesMandatory employer-based insurance coverage of contraception in the US has been a controversial component of the Affordable Care Act (ACA). Prior research has examined the cost-effectiveness of contraception in general; however, no studies have developed a formal decision model in the context of the new ACA provisions. As such, this study aims to estimate the relative cost-effectiveness of insurance coverage of contraception under employer-sponsored insurance coverage taking into consideration newer regulations allowing for religious exemptions. STUDY

designA decision model was developed from the employer perspective to simulate pregnancy costs and outcomes associated with insurance coverage. Method-specific estimates of contraception failure rates, outcomes and costs were derived from the literature. Uptake by marital status and age was drawn from a nationally representative database.

resultsProviding no contraception coverage resulted in 33 more unintended pregnancies per 1000 women (95% confidence range: 22.4; 44.0). This subsequently significantly increased the number of unintended births and terminations. Total costs were higher among uninsured women owing to higher costs of pregnancy outcomes. The effect of no insurance was greatest on unmarried women 20-29 years old.

conclusionsDenying female employees' full coverage of contraceptives increases total costs from the employer perspective, as well as the total number of terminations. IMPLICATIONS: Insurance coverage was found to be significantly associated with women's choice of contraceptive method in a large nationally representative sample. Using a decision model to extrapolate to pregnancy outcomes, we found a large and statistically significant difference in unintended pregnancy and terminations. Denying women contraception coverage may have significant consequences for pregnancy outcomes.

Indexed as

Insurance CoveragePregnancy, UnplannedAdolescentAdultAge DistributionAge FactorsContraceptionCost-Benefit AnalysisEmployer Health CostsFemaleHumansMarital StatusMedically UninsuredPatient Protection and Affordable Care ActPregnancyPregnancy OutcomeCost-effectivenessEmployer mandateHealth outcomesInsurance coverage

Identifiers

PMID27542519
PMCPMC5140751

What OpenQuestion holds

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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.