[Validity evidence of the Hospital Birth Satisfaction Scale using the Item Response Theory]

Camila Bonalume Dall'Aqua1, Stela Maris de Jezus Castro1, Betine Pinto Moehlecke Iser2

  • 1Faculdade de Medicina, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brasil.

Cadernos De Saude Publica
|February 19, 2026
PubMed

With the objective of generating evidence of validity for a measure of the latent trait "level of satisfaction with childbirth", Item Response Theory (IRT) was used in a sample of 15,965 women who had hospital births in Brazil. Telephone interviews were conducted up to six months after childbirth with participants of the Birth in Brazil: National Survey into Labor and Birth in the five regions of the country. An 11-item questionnaire denominated the Hospital Childbirth Care Satisfaction Scale was used. The questions were incorporated into the IRT models, with Samejima's graded response model providing the best fit. The sample was randomly divided into dataset 1 (n = 7,982), adjusted using the graded response model, and dataset 2 (n = 7,983), for validation of the results. Reliability measures were Cronbach's alpha, McDonald's omega, and Spearman-Brown coefficient. Regarding construct validity, exploratory factor analysis of dataset 1 demonstrated a latent factor structure with three dimensions. The resulting structure was tested in dataset 2 using confirmatory factor analysis, obtaining a good fit of the model. Two items of the questionnaire were excluded from the measure for not discriminating the latent trait of interest. Thus, thefinal scale consisted of nine items. Based on IRT, a new version of the instrument with adequate psychometric properties was obtained. The associations between satisfaction with childbirth and external variables strengthen the validity of the scale.

Related Concept Videos

Regression Toward the Mean01:52

Regression Toward the Mean

Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
6.3K
Guidelines for Writing Outcome01:11

Guidelines for Writing Outcome

When developing expected outcomes for a patient care plan, the nurse should adhere to the following recommendations:
Patient outcomes reflect the patient's response to the goal rather than what the nurse aims to achieve. Terminology should be observable and measurable to avoid the reader's interpretation. The desired outcome should be realistic and achievable in the designated care timeframe. Expected outcomes should align with adjunctive therapies. The outcome should enhance care...
3.8K
Nursing Evaluation01:15

Nursing Evaluation

The evaluation stage signals the end of the nursing process. The nurse gathers evaluative data to assess whether or not the patient has attained the expected results. Whereas the nurse collects data in the nursing assessment to identify the patient's health concerns, the evaluation stage data determines if the indicated health issues are resolved. Evaluative data collection includes two sections: the data acquired to evaluate patient outcomes and the time criteria for data collection.
4.1K
Nursing Clinical Information System01:27

Nursing Clinical Information System

Nursing Clinical Information System (NCIS)
A Nursing Clinical Information System (NCIS) is a specialized type of healthcare information system tailored to meet the unique needs of nursing practice. It incorporates the principles of nursing informatics to streamline information management and improve the quality of care delivery.
Critical attributes of NCIS include:
1.3K
Sensitivity, Specificity, and Predicted Value01:13

Sensitivity, Specificity, and Predicted Value

In healthcare diagnostics, laboratory tests play a crucial role in identifying and diagnosing a wide range of medical conditions. However, interpreting test results is not always straightforward. An abnormal test result does not always confirm the presence of a disease, just as a normal result does not guarantee its absence. To assess the reliability of these diagnostic tools, healthcare practitioners rely on two key statistical indicators: sensitivity and specificity.
Sensitivity is the...
1.9K
Odds Ratio01:09

Odds Ratio

The odds ratio (OR) is a statistical measure used extensively in epidemiology and research to quantify the strength of association between exposure and outcome across different groups. Unlike relative risk, which compares the probabilities of an event occurring, the odds ratio compares the odds of an event occurring in the exposed group to the odds of it occurring in the unexposed group. The odds, in this context, are calculated as the probability of the event happening divided by the...
2.3K