Exploring the Reasons for Low Cataract Surgery Uptake Among Patients Detected in a Community Outreach Program in Cameroon: Focused Ethnographic Mixed Methods Study
Bibliographic record
Abstract
Background Vision 2020: The Right to Sight, was one potential way to deal with the barriers surrounding cataract surgery and improve access to eye care. To this effect, the Magrabi International Council of Ophthalmology (ICO) Cameroon Eye Institute (MICEI) has performed more than 1000 sight-restoring cataract surgeries among patients referred from outreach camps. However, quite a good number of patients diagnosed with cataracts during community screening camps fail to present for surgery. This study sought to explore some of the challenges to accepting cataract surgery among community-diagnosed patients with cataract, patients operated for cataract, and community members. Objective The study objective was 5-fold: (1) to assess the level of awareness about cataract and available treatment, (2) to explore barriers to cataract surgery uptake, (3) to assess people’s perception about the outcome of cataract surgery, (4) to understand people’s perception about free cataract surgery, and (5) to explore reasons for outright refusal of cataract surgery. Methods This was a focused ethnographic study from December 2018 through February 2019 in 3 different communities of the Center Region of Cameroon, in which patients with cataract were diagnosed. The study sample was composed of patients operated for cataract, those diagnosed with cataract, key informants, and community members. Focus group discussions (FGDs), personalized in-depth interviews, and a short demographic questionnaire were used to collect data. Data were analyzed using a Microsoft Excel spreadsheet and Stata 14 (StataCorp). Data were presented using tabular and graphical methods. Results A total of 29 subjects (19 men) with a mean age of 54.5 (SD 14.5) years took part in the study. The most prominent barriers to cataract surgery were found to be cost (25/29, 86%) and fear of surgery (17/29, 59%). It was also noted by 41% (12/29) of subjects that those who do not take up cataract surgery turn to traditional medicine. Other barriers included the lack of awareness of available treatment (6/29, 21%), no perceived need (5/29, 17%), cultural beliefs and superstition (4/29, 14%), and negligence (4/29, 14%). Conclusions We found cost (25/29, 86%) and fear (17/29, 59%) to be the main barriers. Belief in traditional medicine and superstition were the main drivers of fear. The implementation of a tiered pricing system, counseling training for key informants, incentives for the referral of patients with cataract, mass media engagement, advocacy, training and active involvement of traditional doctors as key informants, acquisition of a 4×4 outreach van, and motorbikes for camp organizers were some of the recommendations based on our results.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".