An exploration of opportunities and challenges facing cervical cancer managers in Kenya
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Kenya like other developing countries is low in resource setting and is facing a number of challenges in the management of cervical cancer. This study documents opportunities and challenges encountered in managing cervical cancer from the health care workers' perspectives. A qualitative study was conducted among cervical cancer managers who were defined as nurses and doctors involved in operational level management of cervical cancer. The respondents were drawn from four provincial hospitals and the only two main National public referral hospitals in Kenya. Twenty one [21] nurse managers and twelve [12] medical doctors were interviewed using a standardized interview guide. The responses were audio recorded, transcribed verbatim and the content analyzed in emerging themes. FINDINGS: Four themes were identified. Patient related challenges included a large number of patients, presenting in the late stage of disease, low levels of knowledge on cancer of the cervix, low levels of screening and a poor attitude towards screening procedure. Individual health care providers identified a lack of specialised training, difficulty in disclosure of diagnosis to patients, a poor attitude towards cervical cancer screening procedure and a poor attitude towards cervical cancer patients. Health facilities were lacking in infrastructure and medical supplies. Some managers felt ill-equipped in technological skills while the majority lacked access to the internet. Mobile phones were identified as having great potential for improving the management of cervical cancer in Kenya. CONCLUSION: Kenya faces a myriad of challenges in the management of cervical cancer. The peculiar negative attitude towards screening procedure and the negative attitude of some managers towards cervical cancer patients need urgent attention. The potential use of mobile phones in cervical cancer management should be explored.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| 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 it