Evidence map›Paper›PMID 25787989›Full record

SynthesisBMJ open2015

Interventions to combat or prevent drug counterfeiting: a systematic review.

Fadi El-Jardali, Elie A Akl, Racha Fadlallah, Sandy Oliver, Nadine Saleh, Lamya El-Bawab, Rana Rizk, Aida Farha, Rasha Hamra

Abstract readSystematic Review
In one paragraph

Synthesis in BMJ open, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Fadi El-JardaliCenter for Systematic Review in Health Policy and Systems Research (SPARK), American University of Beirut, Beirut, Lebanon Faculty of Health Sciences, Department of Health Management and Policy, American University of Beirut, Beirut, Lebanon Department of Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, Ontario, Canada.
Elie A AklCenter for Systematic Review in Health Policy and Systems Research (SPARK), American University of Beirut, Beirut, Lebanon Department of Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, Ontario, Canada Department of Internal Medicine, American University of Beirut, Beirut, Lebanon Faculty of Health Sciences, Department of Epidemiology and Population Health, American University of Beirut, Beirut, Lebanon.
Racha FadlallahCenter for Systematic Review in Health Policy and Systems Research (SPARK), American University of Beirut, Beirut, Lebanon.
Sandy OliverEvidence for Policy and Practice Information and Coordination Centre, Social Science Research Unit, Institute of Education, London, UK.
Nadine SalehFaculty of Public Health, Laboratory of Epidemiological and Clinical Research, Lebanese University, Beirut, Lebanon.
Lamya El-BawabCenter for Systematic Review in Health Policy and Systems Research (SPARK), American University of Beirut, Beirut, Lebanon.
Rana RizkDepartment of Health Services Research, CAPHRI School for Public Health and Primary Care, Maastricht University, Maastricht, The Netherlands.
Aida FarhaSaab Medical Library, American University of Beirut, Beirut, Lebanon.
Rasha HamraDepartment of Health Education, Ministry of Public Health, Beirut, Lebanon.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveDrug counterfeiting has serious public health and safety implications. The objective of this study was to systematically review the evidence on the effectiveness of interventions to combat or prevent drug counterfeiting. DATA SOURCES: We searched multiple electronic databases and the grey literature up to March 2014. Two reviewers completed, in duplicate and independently, the study selection, data abstraction and risk of bias assessment. STUDY ELIGIBILITY CRITERIA, PARTICIPANTS AND

interventionsWe included randomised trials, non-randomised studies, and case studies examining any intervention at the health system-level to combat or prevent drug counterfeiting. Outcomes of interest included changes in failure rates of tested drugs and changes in prevalence of counterfeit medicines. We excluded studies that focused exclusively on substandard, degraded or expired drugs, or that focused on medication errors. APPRAISAL AND SYNTHESIS: We assessed the risk of bias in each included study. We reported the results narratively and, where applicable, we conducted meta-analyses.

resultsWe included 21 studies representing 25 units of analysis. Overall, we found low quality evidence suggesting positive effects of drug registration (OR=0.23; 95% CI 0.08 to 0.67), and WHO-prequalification of drugs (OR=0.06; 95% CI 0.01 to 0.35) in reducing the prevalence of counterfeit and substandard drugs. Low quality evidence suggests that licensing of drug outlets is probably ineffective (OR=0.66; 95% CI 0.41 to 1.05). For multifaceted interventions (including a mix of regulations, training of inspectors, public-private collaborations and legal actions), low quality evidence suggest they may be effective. The single RCT provided moderate quality evidence of no effect of 'two extra inspections' in improving drug quality.

conclusionsPolicymakers and stakeholders would benefit from registration and WHO-prequalification of drugs and may also consider multifaceted interventions. Future effectiveness studies should address the methodological limitations of the available evidence. TRIAL REGISTRATION NUMBER: PROSPERO CRD42014009269.

Indexed as

Counterfeit DrugsFraudHealth PolicyHumansInternational CooperationPharmaceutical Services, OnlinePublic HealthCounterfeit Drugs

Identifiers

PMID25787989
PMCPMC4368988

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.