Validation of the uncertainty stress scale-high-risk pregnancy - Chinese brief version: Rasch analysis
Abstract Background High-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...
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| Format: | Article |
| Language: | English |
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BMC
2025-01-01
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| Series: | BMC Pregnancy and Childbirth |
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| Online Access: | https://doi.org/10.1186/s12884-024-07078-7 |
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| author | Yi Jing Tsai Chi Chen Chen Yu Yun Hsu Chuan Chuan Chen |
| author_facet | Yi Jing Tsai Chi Chen Chen Yu Yun Hsu Chuan Chuan Chen |
| author_sort | Yi Jing Tsai |
| collection | DOAJ |
| description | Abstract Background High-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. Methods This 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. Results The 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. Conclusions This 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. |
| format | Article |
| id | doaj-art-f4203eebb208420b992d2cc1d57dd550 |
| institution | Kabale University |
| issn | 1471-2393 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Pregnancy and Childbirth |
| spelling | doaj-art-f4203eebb208420b992d2cc1d57dd5502025-01-12T12:43:55ZengBMCBMC Pregnancy and Childbirth1471-23932025-01-0125111510.1186/s12884-024-07078-7Validation of the uncertainty stress scale-high-risk pregnancy - Chinese brief version: Rasch analysisYi Jing Tsai0Chi Chen Chen1Yu Yun Hsu2Chuan Chuan Chen3Department of Nursing, College of Medicine, National Cheng Kung UniversityResearch Center for Testing and Assessment, National Academy for Educational ResearchDepartment of Nursing, College of Medicine, National Cheng Kung UniversityDepartment of Nursing, College of Medicine, National Cheng Kung UniversityAbstract Background High-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. Methods This 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. Results The 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. Conclusions This 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.https://doi.org/10.1186/s12884-024-07078-7High-risk pregnancyCFARasch analysisUncertaintyStress |
| spellingShingle | Yi Jing Tsai Chi Chen Chen Yu Yun Hsu Chuan Chuan Chen Validation of the uncertainty stress scale-high-risk pregnancy - Chinese brief version: Rasch analysis BMC Pregnancy and Childbirth High-risk pregnancy CFA Rasch analysis Uncertainty Stress |
| title | Validation of the uncertainty stress scale-high-risk pregnancy - Chinese brief version: Rasch analysis |
| title_full | Validation of the uncertainty stress scale-high-risk pregnancy - Chinese brief version: Rasch analysis |
| title_fullStr | Validation of the uncertainty stress scale-high-risk pregnancy - Chinese brief version: Rasch analysis |
| title_full_unstemmed | Validation of the uncertainty stress scale-high-risk pregnancy - Chinese brief version: Rasch analysis |
| title_short | Validation of the uncertainty stress scale-high-risk pregnancy - Chinese brief version: Rasch analysis |
| title_sort | validation of the uncertainty stress scale high risk pregnancy chinese brief version rasch analysis |
| topic | High-risk pregnancy CFA Rasch analysis Uncertainty Stress |
| url | https://doi.org/10.1186/s12884-024-07078-7 |
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