The cultural adaptation and psychometric evaluation of the Mothers on Respect Index for Native Hawaiians and Pacific Islanders
Bibliographic record
Abstract
BACKGROUND: Native Hawaiian and Pacific Islanders (NHPI) are disproportionately burdened by pregnancy-related deaths in the United States and have the lowest engagement in prenatal care compared to all other US racial groups. Aside from access barriers, studies suggest that NHPI face challenges with patient-clinician communication, perceived discrimination, and cultural conflicts within healthcare settings. This paper describes the cultural adaptation of the 14-item Mothers On Respect index for NHPI, originally developed by Vedam et al. (2017) for diverse communities in British Columbia, Canada, and reports the findings of the preliminary psychometric assessment of the adapted measure. METHODS: Data from 26 interviews with NHPI women, expert, and cognitive interviews were conducted to inform the adaptation. An online survey was administered to a sample of 90 NHPI women to assess construct validity, convergent validity, and internal reliability of the adapted measure using exploratory and confirmatory factor analyses. RESULTS: The adaptation resulted in substantial changes to the original measure, mainly by the addition of items related to 'feeling cared for by and connected to the provider' and 'perceived threats hindering communication.' The psychometric analyses identified a three-factor structure for the culturally adapted index and confirmatory factor analyses were employed to refine the measure. The result was a 25-item index with acceptable goodness of fit indices, high internal reliability (Cronbach's alpha of 0.96, 95% CI = .94-.97) and convergent validity with a related scale. Overall, participants in this sample indicated high levels of respectful care; however, people who received < 8 prenatal care visits had significantly lower ratings on average. CONCLUSIONS: Our findings suggest that the elements valued by NHPI are not fully captured in existing measures of respectful maternity care. Efforts to assess more discrete aspects of the patient-provider relationship for culturally distinct and racialized groups could help improve the quality of care and advance equity in maternal and perinatal health marginalized communities.
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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 | 0.005 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".