Person-Centred Maternity Care in a Poor-Resource Setting: Evidence from a Cross-Sectional Study in Enugu State, Nigeria
Bibliographic record
Abstract
Abstract Background Women are not getting adequate person-centred maternity care (PCMC) in low-income and middle-income countries despite being important in reducing maternal morbidity and mortality. This study assessed perceptions and predictors of PCMC among childbearing women in Enugu State, South-east Nigeria.Methods The study was conducted in two health districts in Enugu State using a descriptive, cross-sectional survey design. We conveniently selected 450 childbearing women, within 9 weeks post-partum, from 11 health facilities purposively selected based on high maternal and child health attendance. Data was collected from women using an interviewer administered 30-item PCMC scale (scores 0–90) consisting of: dignity and respect (6 items, scores 0–18), communication and autonomy (9 items, scores 0–27), and supportive care (15 items, scores 0–45). We categorized full PCMC and each sub-scale into “low, medium and high” using 25th and 75th percentile of the summative scores. The questionnaire also collected data on women characteristics, facility characteristics and service type. Data were analysed using descriptive statistics, t- tests, analysis of variance and Generalized Linear Models.Results Women had medium scores on full PCMC scale and sub-scales. The lowest score was in communication and autonomy. A quarter of women perceived PCMC as high. Marrying at age 20–29 years (β = 5.83, ρ = 0.002), self-employed women (β = -10.23, ρ = 0.004), starting antenatal care in the third trimester (β = -7.93, ρ = 0.008), high participation in household decisions (β = -4.98, ρ = 0.011), domestic violence experience (β = 5.41, ρ = 0.002), delivery at health centre (β = 7.09, ρ = 0.000), delivery at private/mission hospital (β = 17.47, ρ = 0.000), delivery by non-skilled attendant (β = -9.61, ρ = 0.001); delivery by community health workers (β = -7.65, ρ = 0.001), and experience of pregnancy complication (β = 6.20, ρ = 0.028) predicted PCMC.Conclusions Person-centred maternity care was generally inadequate. Improving PCMC would entail sustaining dignified care, enhancing provider-patient communication, addressing facility-level drivers, increasing women’s personal empowerment and self-employment, timely initiation of antenatal care, and paying attention to women with pregnancy complication.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".