Evidence map›Paper›PMID 29130270›Full record

ArticleHealth services research2017

State Prescription Contraception Insurance Mandates: Effects on Unintended Births.

Emily M Johnston, E Kathleen Adams

Abstract read
In one paragraph

Article in Health services research, 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

2 authors.

Emily M JohnstonThe Urban Institute, Washington, DC.ORCID 0000-0003-1145-2910
E Kathleen AdamsDepartment of Health Policy and Management, Rollins School of Public Health, Emory University, Atlanta, GA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo test the effects of state prescription contraception insurance mandates on unintended, mistimed, and unwanted births in a sample of privately insured recent mothers. DATA: We pooled Pregnancy Risk Assessment Monitoring System (PRAMS) data from 1997 to 2012 to study 209,964 privately insured recent mothers in 24 states, 11 of which implemented prescription contraception coverage mandates between 2000 and 2008. STUDY

designIndividual-level difference-in-differences models compare the probability of unintended birth among privately insured recent mothers in state-years with mandates to those in state-years without mandates. Additional models use aggregate data to estimate the effect of mandates on states' number of unintended births. PRINCIPAL

findingsState mandates are associated with decreased probability of unintended birth (1.58 percentage points) among privately insured women in the second year of implementation, driven by decreased probability of mistimed birth (1.37 percentage points or 614 births per state-year) in the second year of implementation. We find no effects in the first year of implementation or on the probability of unwanted birth. Unexpectedly, recent mothers without private insurance experienced declines in unintended birth, but among unwanted, rather than mistimed, births.

conclusionsState prescription contraception insurance mandates are associated with reduced probability of unintended and mistimed births among privately insured women.

Indexed as

Contraceptive Agents, FemalePregnancy, UnplannedAdultBehavioral Risk Factor Surveillance SystemFemaleHumansInsurance CoverageInsurance, Pharmaceutical ServicesMandatory ProgramsPregnancySocioeconomic FactorsUnited StatesYoung AdultContraceptive Agents, FemaleHealth policy/politics/law/regulationmaternal and perinatal care and outcomesstate health policies

Identifiers

PMID29130270
PMCPMC5682137

What OpenQuestion holds

Textmetadata
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.