Economic Cost of Diabetes in Ampara District in Sri Lanka
Bibliographic record
Abstract
Economic cost of diabetes comprises of two components, viz. the direct cost and indirect cost. Doctor consultation fees, transportation cost, cost of blood and urine tests, and cost of medication constitute the direct cost. Short term morbidity and permanent disability due to diabetes result in inability to work, which accounts for the indirect cost. The objective of the study was to measure the economic cost of diabetic patients in Sainthamaruthu Divisional Secretariat Area of Ampara district in Sri Lanka. The research area of this study was Sainthamaruthu Township in Ampara district, where the burden of diabetes is higher than in other places. This study used primary and secondary data, both qualitative and quantitative. Primary data was collected through a questionnaire. Sample was selected through the stratified sampling method from 243 patients. 100 questionnaires were distributed through the random sampling method. For the data analysis this study used cross-sectional descriptive method. The direct cost and indirect cost of diabetes was estimated by cost of illness method. Analysis was performed through SPSS and Excel. This survey found that the monthly average direct cost per patient in Sainthamaruthu Divisional Secretariat Area was US $19. A breakdown gives monthly average doctor consultation fees of US $5.15, monthly average transportation cost of US $1.12, monthly average cost for urine test US $0.47, monthly average cost for blood test US $1.32, and monthly average medication cost of US $10.93. To these must be added monthly average indirect cost of US $68.94. This is made up of US $49.20 lost per patient per month for permanent disability and US $19.74 lost per patient per month for short term morbidity. Therefore, the monthly average economic cost amounted to US $87.93 per patient. At the same time, a higher level of economic cost is borne by the male and lower cost borne by the income group that earned between US $175 and US $350. 54 percent of patients depend on their families to meet their diabetes related expenditure. So the major part of the cost of diabetes care is imposed on the families of diabetic patients in the study area. And it just proves to be a big economic burden on them.
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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 | 0.000 | 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".