A description of sodium valproate, lamotrigine and levetiracetam consumption in the Western Cape public sector
Bibliographic record
Abstract
BACKGROUND: The rational use of medicine is fundamental to ensure effective and safe patient medicine treatment, and hence, should be monitored. Undisputable evidence exists for the teratogenic risk factors associated with sodium valproate. Consequently, the Western Cape Department of Health introduced a policy (2019) recommending alternatives for valproate in women of childbearing age, including lamotrigine or levetiracetam as alternatives for patients on antiretrovirals. This study aimed to describe the change in the consumption of valproate, lamotrigine and levetiracetam after a policy implementation in public sector health facilities of the Western Cape, South Africa. METHODS: This observational study followed a quasi-experimental design. Consumption data from the Cape Medical Depot over the period 01 April 2018 to 31 March 2020 were analysed retrospectively. Consumption was presented as a defined daily dose (DDD) per 1000 population per quarter for sodium valproate, levetiracetam and lamotrigine for the Western Cape province, urban and rural areas. Consumption 12 months before was compared with consumption 12 months after policy implementation. RESULTS: Post-policy implementation, valproate consumption remained unchanged provincially (3.3%; p = 0.255), in urban (7.8%; p = 0.255) and rural (1.5%; p = 0.701) areas. Lamotrigine consumption increased significantly provincially (30.7%; p = 0.020) and in urban areas (54.5%; p = 0.002); however, rural (26.1%; p = 0.108) areas did not show significant change. Provincially, valproate consumption remained substantially higher (209 DDDs/1000 population per quarter) compared with lamotrigine consumption (32.22 DDDs/1000 population per quarter). CONCLUSION: In the Western Cape public sector, the consumption of sodium valproate remained unchanged 12 months after policy implementation. Although there were significant increases in lamotrigine and levetiracetam consumption, the consumption was considerably less compared with sodium valproate consumption.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".