Evidence map›Paper›PMID 38909745›Full record

ArticleContraception2024

Modeling the impact of decreasing waiting period length for Medicaid sterilization: A multi-site cohort study.

Kristen A Berg, Douglas D Gunzler, Emily Miller, Margaret Boozer, Tania Serna, Jennifer L Bailit, Kavita S Arora

Abstract readMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Contraception, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Kristen A BergCenter for Health Care Research & Policy, Population Health Research Institute, MetroHealth Medical System, Cleveland, OH, USA.
Douglas D GunzlerCenter for Health Care Research & Policy, Population Health Research Institute, MetroHealth Medical System, Cleveland, OH, USA.
Emily MillerDepartment of Obstetrics and Gynecology, Division of Maternal Fetal Medicine, Warren Alpert Medical School of Brown University, Providence, RI, USA.
Margaret BoozerDepartment of Obstetrics and Gynecology, University of Alabama at Birmingham, Birmingham, AL, USA.
Tania SernaDepartment of Obstetrics and Gynecology, University of California San Francisco, San Francisco, CA, USA.
Jennifer L BailitCase Western Reserve University, Cleveland, OH, USA.
Kavita S AroraDepartment of Obstetrics and Gynecology, University of North Carolina, Chapel Hill, NC, USA. Electronic address: Kavita.Shah.Arora@gmail.com.

Funding

Multi-level factors affecting postpartum sterilizationR01HD098127 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ARORA, KAVITA SHAH · 2020 to 2023
$2.5M
NICHD NIH HHS R01 HD098127
6 · The paper itself

Abstract

objectiveTo evaluate the impact of length of the Medicaid sterilization waiting period and postpartum permanent contraception fulfillment. STUDY

designSimulations from a retrospective cohort study estimating the potential increase in permanent contraception within 365 days of delivery.

resultsIn our sample of 2076 patients, 61% achieved permanent contraception with the current waiting period of 30 days. With the waiting period hypothetically reduced to 15, 3, 1, and 0 days, 62.9%, 63.7%, 64.5%, and 75% patients, respectively, would have achieved permanent contraception.

conclusionsAs potential Medicaid sterilization policy revisions are considered, understanding the impact on fulfillment rates is critical.

Indexed as

MedicaidSterilization, ReproductiveAdultCohort StudiesFemaleHumansRetrospective StudiesTime FactorsUnited StatesYoung AdultDisparityInformed consentMedicaidPostpartum contraceptionSterilizationWaiting period

Identifiers

PMID38909745
PMCPMC11464183

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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.