Evidence map›Paper›PMID 40275233›Full record

ArticleBMC pregnancy and childbirth2025

Measurement properties of the German version of the birth satisfaction scale-revised (BSS-R) in women with pre-existing medical conditions and high-risk pregnancy.

Elena Jost, Waltraut M Merz, Philipp Kosian, Claudia Hartmann, Matthias Schmid, Caroline J Hollins Martin, Colin R Martin

Abstract readValidation Study
In one paragraph

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. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Elena JostDepartment of Obstetrics and Prenatal Medicine, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany. elena.jost@ukbonn.de.
Waltraut M MerzDepartment of Obstetrics and Prenatal Medicine, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany.
Philipp KosianDepartment of Obstetrics and Prenatal Medicine, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany.
Claudia HartmannDepartment of Psychosomatic Medicine, Center of Internal Medicine and Dermatology, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Matthias SchmidDepartment of Medical Biometry, Informatics, and Epidemiology, University Hospital Bonn, Bonn, Germany.
Caroline J Hollins MartinSchool of Health and Social Care, Edinburgh Napier University, Scotland, UK.
Colin R MartinInstitute for Health and Wellbeing, University of Suffolk, Ipswich, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Birth Satisfaction Scale-Revised (BSS-R) is a validated questionnaire for assessment of childbirth experience which has been translated into many languages. It is the instrument of choice in the International Consortium for Health Outcomes Measurement (ICHOM) standard set for 'Pregnancy and Childbirth'. Translation of the key outcome measures from English into German language was previously performed, but its validation is pending. AIM AND

objectivesTo analyze the key psychometric properties of the German version of the BSS-R (Ger-BSS-R), and to evaluate its application in women with chronic conditions.

methods248 women with pre-existing medical conditions were provided with the Ger-BSS-R during hospital inpatient stay for childbirth. The 10-item measurement contains three sub-scales for assessing quality of care provision (QC), women's personal attributes (WA), and stress experienced during labor (SE).

resultsComplete data was available in N = 224 cases. After removal of four multivariate outliers, N = 220 were available for psychometric evaluation. The cesarean section rate was 50.5%, prematurity occurred in 14.5% of deliveries and induction of labor was performed in 49.7% of cases with planned vaginal delivery. Mean total BSS-R score was 25.7 (SD 5.94). In the confirmatory factor analysis, the tri-dimensional measurement model was found to offer a good fit to Ger-BSS-R data. For internal consistency, the total, SE and QC sub-scale Cronbach's alphas were significantly lower than those of the founder version.

conclusionsThe Ger-BSS-R is a robust instrument for assessing birth satisfaction. This is the first study to apply the BSS-R in women with pre-existing medical conditions. Compared to the founder UK version, differences in total BSS-R scores and sub-scales for experience of stress and quality of care are present, requiring further investigations.

Indexed as

Delivery, ObstetricParturitionPatient SatisfactionPregnancy, High-RiskAdultCesarean SectionFemaleGermanyHumansPregnancyPsychometricsReproducibility of ResultsSurveys and QuestionnairesYoung AdultBirth experienceBirth satisfactionHigh-risk pregnancyObstetric medicinePatient-reported outcomePre-existing conditionPsychometricsQuality of intrapartum care

Identifiers

PMID40275233
PMCPMC12023544

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