Influence of NAFDAC Mobile Drugs Authentication Service on the Use of Fake Drugs Among Consumers in Southeast Nigeria
Bibliographic record
Abstract
OBJECTIVE: This paper investigates the influence of Mobile Authentication Service (MAS) in eliminating the consumption of fake/counterfeit drugs in South-east Nigeria. METHODS: 1000 respondents were randomly selected in the five states of the South-east as study sample, while a structured questionnaire was used for collecting data. SPSS version 20.0 was used to analyse the data. RESULTS: Analysis results reveal that there is a low level of MAS scheme awareness while few persons operate the MAS scheme. It further reveals that MAS scheme made no impact on the distribution and consumption of fake/counterfeit drugs. It also reveals people’s inability to procure appropriate phone technology, poor network services, and low level of MAS scheme media awareness campaign was responsible for MAS scheme ineffectiveness. CONCLUSION: NAFDAC MAS scheme has not reduced or eliminated the production, distribution and consumption of fake/counterfeit drugs in the South-east Nigeria. This is because of inappropriate media awareness campaign, people’s inability to procure the appropriate phone technology and access good network services required to operate the MAS scheme. This paper recommends appropriate massive media awareness campaign on the MAS Scheme, modernisation of MAS scheme software to accommodate lower level of phone technology, and improved network access as panacea for MAS scheme effectiveness.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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".