Evidence mapPaperPMID 39762780Full record

ArticleBMC pregnancy and childbirth2025

Validation of the uncertainty stress scale-high-risk pregnancy - Chinese brief version: Rasch analysis.

Yi Jing Tsai, Chi Chen Chen, Yu Yun Hsu, Chuan Chuan Chen

Abstract readValidation Study
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Article in BMC pregnancy and childbirth, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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4 authors.

Yi Jing TsaiDepartment of Nursing, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Chi Chen ChenResearch Center for Testing and Assessment, National Academy for Educational Research, New Taipei, Taiwan.
Yu Yun HsuDepartment of Nursing, College of Medicine, National Cheng Kung University, Tainan, Taiwan. yuht12@mail.ncku.edu.tw.
Chuan Chuan ChenDepartment of Nursing, College of Medicine, National Cheng Kung University, Tainan, Taiwan.

Funding

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6 · The paper itself

Abstract

backgroundHigh-risk pregnancy leads to uncertainty and stress in pregnant women due to the threatened of mother and fetus health. The Uncertainty Stress Scale High-Risk Pregnancy Version, a 54-item Chinese version (USS-HRPV-C), has been widely used to assess the uncertainty and stress that women experience during pregnancy. However, the length of the scale may result in a burden for respondents. Thus, a brief version of the USS-HRPV-C is needed for a concise and vigorous assessment. The aim of this study was to shorten the USS-HRPV-C and validate the brief version.

methodsThis study used a cross-sectional design. A convenience sample of 200 women with high-risk pregnancies completed the 54-item USS-HRPV- C. Confirmatory factor analysis (CFA) and Rasch model to examine the construct validity of the short version of the USS-HRPV-C. Rasch analysis was used with a stepwise approach to select items with better goodness-of-fit and no differential item functioning (DIF). Additionally, Cronbachs' α and Pearson correlations to evaluate the internal consistency of the original and brief versions. Test analysis modules (TAM) and Lavaan packages in R were used for data analyses.

resultsThe results of CFA supported a two-factor structure of the HRPV-C. Using the Rasch analysis, we reduced the USS-HRPV-C scale from 54 to 17 items. The selected 17 items were robust without displaying differential item functioning. Further, the 17-item short version exhibited satisfactory fit statistics that infit and outfit mean square ranged between 0.71 and 1.35, respectively. Internal consistency of Cronbach's α for the short version of the USS-HRPV-C scale ranged was 0.90 and 0.92 for the subscales of uncertainty and stress respectively. Both subscales of the brief version were significantly related to the original version of USS-HRPV-C.

conclusionsThis study developed a 17-item brief version of the USS-HRPV-C scale, which has demonstrated its satisfactory psychometric properties. Healthcare providers can use the validated brief version of the USS-HRPV-C to proficiently assess women's psychosocial stress and uncertainty during pregnancy.

Indexed as

Pregnancy, High-RiskPsychometricsStress, PsychologicalAdultChinaCross-Sectional StudiesFactor Analysis, StatisticalFemaleHumansPregnancyPregnant PeopleReproducibility of ResultsSurveys and QuestionnairesTranslationsUncertaintyYoung AdultCFAHigh-risk pregnancyRasch analysisStressUncertainty

Identifiers

PMID39762780
PMCPMC11702129

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