Responsibility and Justice: Considerations for Increasing Access to Prenatal Care. An Interpretive Descriptive Study of Health and Service Providers Understandings of Inadequate Prenatal Care in Hamilton.
Bibliographic record
Abstract
Prenatal care (PNC) is an essential health service that can reduce adverse health and social outcomes through prevention, detection and treatment of abnormalities of pregnancy. It offers an opportunity to mitigate the impact of the Social Determinants of Health (SDoH) on individual patients through advocacy and referral to social services. Despite a publicly funded health care system in Canada, disparities in access to PNC persist. Much is known about the barriers to PNC and client experiences of inadequate PNC (IPNC). Very little is known about care provider perspectives of IPNC, what should be done about it and are the barriers to doing it. The goal of this project was to address this gap in knowledge to inform the development of novel care delivery models that could reduce disparities in access to PNC in Hamilton. Using a Critical Theory lens, I conducted an interpretive descriptive study using individual interviews and focus groups with health and social service providers in Hamilton to explore their understandings of IPNC. Participants viewed IPNC as a small but important phenomenon disproportionately impacting people who are marginalized. The experience of IPNC is chaotic, worrisome and joyful for providers. An interdisciplinary, midwifery-led outreach PNC model would better meet the needs of the client population and providers alike. A Community Centred Care model of PNC embodies and enhances participant suggestions for addressing IPNC. Access to abortion, postpartum care and newborn apprehension require special attention. Peer participation and the impacts of patriarchy and racism must be addressed in the development of future PNC models. The ways in which participants described and proposed intervening in IPNC revealed an individualized understanding of the SDoH that is paralleled in existing research on IPNC. This conceptualization of the problem obscures the root causes of disparities in access and warrants future consideration.
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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 | 0.006 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.018 | 0.019 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| 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".