Commodification of care and its effects on maternal health in the Noun division (West Region – Cameroon)
Bibliographic record
Abstract
BACKGROUND: Since the mid-1980s, there has been a gradual ethical drift in the provision of maternal care in African health facilities in general, and in Cameroon in particular, despite government efforts. In fact, in Cameroon, an increasing number of caregivers are reportedly not providing compassionate care in maternity services. Consequently, many women, particularly the financially vulnerable, experience numerous difficulties in accessing these health services. In this article, we highlight the unequal access to care in public maternity services in Cameroon in general and the Noun Division in particular. METHODS: For this study, in addition to documentary review, two qualitative data collection techniques were used: direct observation and individual interviews. Following the field work, the observation data were categorized and analyzed to assess their relevance and significance in relation to the topics listed in the observation checklist. Interviews were recorded using a dictaphone; they were subsequently transcribed and the data categorized and coded. After this stage, an analysis grid was constructed for content analysis of the transcripts, to study the frequency of topics addressed during the interviews, as well as divergences and convergences among the respondents. RESULTS: The results of this data analysis showed that money has become the driving force in service provision. As such, it is the patient's economic capital that counts. Considered "clients", pregnant women without sufficient financial resources wait long hours in corridors; some die in pain under the indifferent gaze of the professionals who are supposed to take care of them. In sharp contrast, the findings revealed that financially privileged patients are able to bribe caregivers to attract their favour and obtain prompt, careful, and effective care. CONCLUSION: These ethical abuses observed in the Noun public health facilities drive women to use, from the beginning of their pregnancies to the delivery, only healthcare delivered by traditional health attendants.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.009 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".