Evidence map›Paper›PMID 17680215›Full record

ArticleMaternal and child health journal2008

Unintended childbearing and knowledge of emergency contraception in a population-based survey of postpartum women.

Kimberley A Goldsmith, Laurin J Kasehagen, Kenneth D Rosenberg, Alfredo P Sandoval, Jodi A Lapidus

Erratum issuedAbstract read
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In one paragraph

Article in Maternal and child health journal, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

5 authors.

Kimberley A GoldsmithDepartment of Public Health and Preventive Medicine, Oregon Health & Sciences University, Portland, OR, USA.
Laurin J Kasehagen
Kenneth D Rosenberg
Alfredo P Sandoval
Jodi A Lapidus

Funding

Medical Research Council MC_U105232027
6 · The paper itself

Abstract

objectivesWe examined the relationship between unintended childbearing and knowledge of emergency contraception.

methodsThe Oregon Pregnancy Risk Assessment Monitoring System (PRAMS) is a population-based survey of postpartum women. We analyzed data from the 2001 PRAMS survey using logistic regression to assess the relationship between unintended childbearing and emergency contraception while controlling for maternal characteristics such as age, race/ethnicity, education, marital status, family income, and insurance coverage before pregnancy.

resultsIn 2001, 1,795 women completed the PRAMS survey (78.1% weighted response proportion). Of the women who completed the survey, 38.2% reported that their birth was unintended and 25.3% reported that they did not know about emergency contraception before pregnancy. Unintended childbearing was associated with a lack of knowledge of emergency contraception (OR 1.43, 95% CI 1.00, 2.05) after controlling for marital status and age.

conclusionsWomen in Oregon who were not aware of emergency contraception before pregnancy were more likely to have had an unintended birth when their marital status and age were taken into account. Unintended birth was more likely among women who were young, unmarried, lower income, and uninsured. Given that emergency contraception is now available over-the-counter in the US to women who are 18 years of age or older, age- and culturally-appropriate public health messages should be developed to expand women's awareness of, dispel myths around, and encourage appropriate use of emergency contraception as a tool to help prevent unintended pregnancy and birth.

Indexed as

Health Knowledge, Attitudes, PracticePostpartum PeriodPregnancy, UnplannedContraception, PostcoitalData CollectionFemaleHumansLogistic ModelsOregonPregnancyPublic HealthWomen's Health

Identifiers

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.