Evidence map›Paper›PMID 30707341›Full record

ArticleMaternal and child health journal2019

Evaluating the Whoops Proof S.C. Campaign: A Pair-Matched Group Pretest-Posttest Quasi-experimental Study.

Beth Sundstrom, Deborah Billings, Ellie Smith, Merissa Ferrara, Bill Albert, Katherine Suellentrop

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Article in Maternal and child health journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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0cells of the map it votes in
4citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Beth SundstromDepartment of Communication, College of Charleston, 66 George Street, Charleston, SC, 29424-0001, USA. BLS@cofc.edu.
Deborah BillingsUniversity of North Carolina, Chapel Hill, NC, USA.
Ellie SmithDepartment of Communication, College of Charleston, 66 George Street, Charleston, SC, 29424-0001, USA.
Merissa FerraraDepartment of Communication, College of Charleston, 66 George Street, Charleston, SC, 29424-0001, USA.
Bill AlbertPower to Decide, The Campaign to Prevent Unplanned Pregnancy, Washington, DC, USA.
Katherine SuellentropPower to Decide, The Campaign to Prevent Unplanned Pregnancy, Washington, DC, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIn South Carolina, 50% of all pregnancies are unintended. Intrauterine devices (IUDs) and the implant are recommended as top-tier contraceptive options for all women and adolescents. The Whoops Proof S.C. campaign was evaluated to determine if women (ages 18 to 29) who do not intend to become pregnant in the next year report greater awareness of and positive regard for IUDs and the implant after exposure to a multi-channel campaign.

methodsA pair-matched group pretest-posttest quasi-experimental design was utilized. A total of 1,439 women responded to the pretest survey (May-July 2016) and 1,534 responded to the posttest survey (October-November 2016) in four South Carolina counties. Statistical analysis include paired-sample and independent t-tests and one-way ANOVA tests for variance.

resultsAt posttest, intervention county participants were significantly more likely to recall messaging and to report receiving contraceptive information from Whoops Proof S.C (t(1533)= - 8.466, p < .0001). Participants who saw ads more than once per week reported a significant increase in awareness of IUDs and the implant (F(6,1532) = 5.571; p < .001). Participants in intervention counties reported a significant increase in positive attitudes toward IUDs (t(616) = - 1.740; p = .041) and the implant (t(603)= - 1.665; p = .048). DISCUSSION: The Whoops Proof S.C. campaign offers strategies to campaign planners and health care providers to optimize exposure and recall frequency to increase awareness of and positive regard for highly effective contraceptive methods. Campaign planners should test messages and focus on communication channels to increase engagement and avoid saturation.

Indexed as

AdolescentAdultAnalysis of VarianceCross-Sectional StudiesFemaleHumansIntentionIntrauterine DevicesPregnancyPregnancy, UnplannedSouth CarolinaSurveys and QuestionnairesBirth controlCommunicationLong-acting reversible contraceptionQuasi-experimental design

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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.