Development and Psychometric Properties of Pregnant Women's Decision-making Questionnaire for Choosing a Prenatal Care Provider (CPCP-60): A Research From Southwest of Iran.
Mahboubeh HajifoghahaFatemeh NahidiMasoumeh SimbarMalihe NasiriPublished in: Medical journal of the Islamic Republic of Iran (2022)
Background: The selection of a competent prenatal care provider for women is of a major concern. The purpose of this research was to design a questionnaire for pregnant women's decision-making regarding choosing a prenatal care provider and to assess its psychometric properties. Methods: This study used an exploratory mixed method. In the qualitative phase, a semi-structured individual interview was done with 33 participants in Shiraz, Iran. Based on the outcomes of the previous step and the literature study, the items of the questionnaire were designed in the quantitative phase. Then, the Cosmin criteria were developed to consider the psychometric properties of the questionnaire. In order to examine the validity of the CPCP-60 questionnaire, an exploratory factor analysis was performed. Reliability was assessed by the Cronbach alpha coefficient test and retest. Data were analyzed using the SPSS Version 21. Results: The CPCP-60 questionnaire included 60 items. After the exploratory factor analysis, 4 factors were extracted that expressed 60.52% of the total variance: professional and communication skills, personal traits of prenatal care providers, and characteristics of pregnancy and childbirth centers. The content validity index and the content validity ratio were 0.90 and 0.76, respectively. A Cronbach alpha of 0.941 and a test-retest of 0.951 demonstrated excellent reliability for the CPCP-60 questionnaire. The responsiveness and the interpretability were acceptable. The minimal detectable change (MDC) of the questionnaire (9.70) was less than the minimal important change (MIC) (12.91). Conclusion: Considering the reliability and validity of the CPCP-60 questionnaire, and its compatibility to the culture of the Iranian society, it can be used in clinical research to evaluate the decision-making of pregnant women on choosing a competent prenatal care provider in Iran.
Keyphrases
- psychometric properties
- pregnant women
- decision making
- healthcare
- palliative care
- pregnancy outcomes
- primary care
- quality improvement
- adipose tissue
- affordable care act
- computed tomography
- magnetic resonance imaging
- machine learning
- skeletal muscle
- cross sectional
- gene expression
- health insurance
- dna methylation
- preterm birth
- chronic pain
- diffusion weighted imaging