RESEARCH ARTICLE Open Access Quality of prenatal care questionnaire: psychometric testing in an Australia population
Bibliographic record
Abstract
Background: The quality of antenatal care is recognized as critical to the effectiveness of care in optimizing maternal and child health outcomes. However, research has been hindered by the lack of a theoretically-grounded and psychometrically sound instrument to assess the quality of antenatal care. In response to this need, the 46-item Quality of Prenatal Care Questionnaire (QPCQ) was developed and tested in a Canadian context. The objective of this study was to validate the QPCQ and to establish its internal consistency reliability in an Australian population. Methods: Study participants were recruited from two public maternity services in two Australian states: Monash Health, Victoria and Wollongong Hospital, New South Wales. Women were eligible to participate if they had given birth to a single live infant, were 18 years or older, had at least three antenatal visits during the pregnancy, and could speak, read and write English. Study questionnaires were completed in hospital. A confirmatory factor analysis (CFA) was conducted. Construct validity, including convergent validity, was further assessed against existing questionnaires: the Patient Expectations and Satisfaction with Prenatal Care (PESPC) and the Prenatal Interpersonal Processes of Care (PIPC). Internal consistency reliability of the QPCQ and each of its six subscales was assessed using Cronbach’s alpha. Results: Two hundred and ninety-nine women participated in the study. CFA verified and confirmed the six factors (subscales) of the QPCQ. A hypothesis-testing approach and an assessment of convergent validity further supported construct validity of the instrument. The QPCQ had acceptable internal consistency reliability (Cronbach’s alpha = 0.97), as did each of the six factors (Cronbach’s alpha = 0.74 to 0.95). Conclusions: The QPCQ is a valid and reliable self-report measure of antenatal care quality. This instrument fills a scientific gap and can be used in research to examine relationships between the quality of antenatal care and outcomes of interest, and to examine variations in antenatal care quality. It also will be useful in quality assurance and improvement initiatives.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".