Evidence map›Paper›PMID 38830389›Full record

ArticleContraception2024

State variations in insertion of long-acting reversible contraception during delivery hospitalization.

Keshob Sharma, Shanna Cox, Lisa Romero, Donatus Ekwueme, Maura Whiteman, Charlan Kroelinger, Lijing Ouyang

Abstract read
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. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Keshob SharmaDivision of Reproductive Health, Centers for Disease Control and Prevention (CDC), Atlanta, GA, USA. Electronic address: tui0@cdc.gov.
Shanna CoxDivision of Reproductive Health, Centers for Disease Control and Prevention (CDC), Atlanta, GA, USA.
Lisa RomeroDivision of Reproductive Health, Centers for Disease Control and Prevention (CDC), Atlanta, GA, USA.
Donatus EkwuemeDivision of Cancer Prevention and Control, Centers for Disease Control and Prevention (CDC), Atlanta, GA, USA.
Maura WhitemanDivision of Reproductive Health, Centers for Disease Control and Prevention (CDC), Atlanta, GA, USA.
Charlan KroelingerDivision of Reproductive Health, Centers for Disease Control and Prevention (CDC), Atlanta, GA, USA.
Lijing OuyangDivision of Reproductive Health, Centers for Disease Control and Prevention (CDC), Atlanta, GA, USA.

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

objectivesThis study aimed to describe immediate postpartum long-acting reversible contraception (IPP LARC) insertion rates during delivery hospitalizations at the state level and by payor type. STUDY

designThis is a cross-sectional study of 26 states and District of Columbia using 2020 State Inpatient Database.

resultsIn 2020, IPP LARC insertion rates varied widely by states, ranging from 2.55 to 637.25 per 10,000 deliveries. Rates were higher for deliveries with Medicaid as primary expected payor than with private insurance in all states but District of Columbia.

conclusionsRates of IPP LARC insertion varied in 2020 by state and were higher for deliveries with Medicaid as primary expected payor.

Indexed as

HospitalizationLong-Acting Reversible ContraceptionMedicaidAdultContraceptive Agents, FemaleCross-Sectional StudiesDelivery, ObstetricFemaleHumansInsurance, HealthPostpartum PeriodPregnancyUnited StatesYoung AdultContraceptive Agents, FemaleContraceptionDeliveriesIntrauterine deviceLong-acting reversible contraceptionMedicaid

Identifiers

PMID38830389
PMCPMC12101527

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.