Cost-effectiveness of hypertension therapy based on 2020 International Society of Hypertension guidelines in Ethiopia from a societal perspective
Bibliographic record
Abstract
INTRODUCTION: There is inadequate information on the cost-effectiveness of hypertension based on evidence-based guidelines. Therefore, this study was conducted to evaluate the cost-effectiveness of hypertension treatment based on 2020 International Society of Hypertension (ISH) guidelines from a societal perspective. METHODS: We developed a state-transition Markov model based on the cardiovascular disease policy model adapted to the Sub-Saharan African perspective to simulate costs of treated and untreated hypertension and disability-adjusted life-years (DALYs) averted by treating previously untreated adults above 30 years from a societal perspective for a lifetime. RESULTS: The full implementation of the ISH 2020 hypertension guidelines can prevent approximately 22,348.66 total productive life-year losses annually. The incremental net monetary benefit of treating hypertension based was $128,520,077.61 US by considering a willingness-to-pay threshold of $50,000 US per DALY averted. The incremental cost-effectiveness ratio (ICER) of treating hypertension when compared with null was $1,125.44 US per DALY averted. Treating hypertension among adults aged 40-64 years was very cost-effective 625.27 USD per DALY averted. Treating hypertensive adults aged 40-64 years with diabetes and CKD is very cost-effective in both women and men (i.e., 559.48 USD and 905.40 USD/DALY averted respectively). CONCLUSION: The implementation of the ISH 2020 guidelines among hypertensive adults in Southern Ethiopia could result in $9,574,118.47 US economic savings. Controlling hypertension in all patients with or with diabetes and or CKD could be effective and cost-saving. Therefore, improving treatment coverage, blood pressure control rate, and adherence to treatment by involving all relevant stakeholders is critical to saving scarce health resources.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".