Evidence map›Paper›PMID 35879004›Full record

ArticleBMJ open2022

Evaluation of the Desire to Avoid Pregnancy Scale in the UK: a psychometric analysis including predictive validity.

Jennifer Hall, Geraldine Barrett, Corinne Rocca

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Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

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3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

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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

3 authors.

Jennifer HallReproductive Health Research, University College London, London, UK jennifer.hall@ucl.ac.uk.ORCID 0000-0002-2084-9568
Geraldine BarrettReproductive Health Research, University College London, London, UK.ORCID 0000-0002-9738-1051
Corinne RoccaAdvancing New Standards in Reproductive Health, University of California, San Francisco, California, USA.ORCID 0000-0001-9892-249X

Funding

Department of Health
6 · The paper itself

Abstract

objectivesTo evaluate the psychometric performance, including predictive validity, of a UK version of the Desire to Avoid Pregnancy (DAP) scale.

designProspective cohort study for psychometric evaluation.

settingUK.

participantsWomen in the UK aged 15 years to menopause, who were not pregnant at the time of recruitment in October 2018, were eligible. 994 women completed the baseline survey and 90.2% of women eligible for the 12-month survey participated. PRIMARY AND SECONDARY OUTCOME MEASURES: The DAP scale was assessed according to key measurement properties of validity (construct (structural and hypothesis testing) and criterion (predictive)), reliability (internal consistency using Cronbach's alpha and test-retest using intraclass correlation coefficients, ICC) and differential item functioning. Item response and classical test theory methods were used.

resultsThe scale was acceptable, understandable and showed good targeting with the full range of scores captured. Construct validity was demonstrated on hypothesis testing, with odds of contraceptive use increasing threefold with each increasing DAP point (range: 0-4). Eighty per cent of women with the lowest DAP score became pregnant within 12 months, compared with <1% of those with the highest DAP score. Reliability, both in terms of internal consistency (Cronbach's α 0.96) and test-retest (ICC 0.95), was excellent. Some tests of structural validity, in relation to model fit with the item-response model, were not met, and investigations suggest further exploration of the factor structure of the DAP is required in other samples. Item 5, regarding relationship with a partner, showed differential item functioning by age, number of children and relationship group.

conclusionsThe UK DAP is a valid and reliable measure of women's DAP and is highly predictive of pregnancy within the next 12 months. Further evaluations should continue the assessment of the factor structure and the performance of the item relating to the partner.

Indexed as

PsychometricsChildFemaleHumansPregnancyProspective StudiesReproducibility of ResultsSurveys and QuestionnairesUnited Kingdomepidemiologypublic healthreproductive medicine

Identifiers

PMID35879004
PMCPMC9328097

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LicenceCC BY
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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.