Willingness and acceptability of cervical cancer screening among women living with HIV/AIDS in Addis Ababa, Ethiopia: a cross sectional study
Bibliographic record
Abstract
BACKGROUND: In Ethiopia, cervical cancer (CC) ranks the 2nd most frequent cancer and the country had 27.19 million women at risk of developing the disease though only 0.6 % women age 18-69 years was screened every 3 years. Nearly a quarter (22.1 %) of southern Ethiopia HIV (Human Immunodeficiency Virus) infected Women were positive for precancerous cervical cancer. Doing regular screening can prevent the disease by around half (45 %) of the cases in age of 30s and three quarter (75 %) cases in 50s and 60s.In the presence of high risk for acquiring cervical cancer among HIV patients, willingness and acceptance of the screening is low in Addis Ababa, Ethiopia thus the current study was aimed to assess willingness and acceptability of cervical cancer screening and its determinants among women living with HIV/AIDS in Addis Ababa, Ethiopia. METHOD: A facility based cross sectional study was conducted among HIV positive women attending HIV treatment centers in Addis Ababa. The respondents were identified using systematic random sampling method. Data was collected using pretested questionnaire and were entered in to Epi-info version 3.5.1 software and exported in to SPSS version 20 statistical package for analysis. The criterias for entering independent variables into multivariate analysis were having p-value 0.05 or less at bivariate analysis and not co-linear. RESULT: One third (34.2 %) of participants knew cervical cancer and two third (62.7 %) were willing for the test though only a quarter (24.8 %) were accepted the test. The independent variables significantly associated with acceptance of screening were educational level, source of information, awareness for the test and preventability of the disease. CONCLUSION: In current study willingness and acceptance of CC (cervical cancer) were low thus organizations working on cancer and HIV/AIDS should establish cervical cancer screening program and further enhance awareness creation.
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How this classification was reachedexpand
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 | 0.013 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".