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1.
Singapore Med J ; 63(10): 572-576, 2022 10.
Artigo em Inglês | MEDLINE | ID: mdl-32179926

RESUMO

Introduction: Misuse of prescription medicines and the harms associated with such use are growing threats across the world. There is currently, however, limited data on the extent of prescription medicine misuse in Singapore and whether this is a current threat in the country. Methods: An online survey, limited to 1,000 individuals (aged 21 years and over) who were residents in Singapore, was administered through a survey panel company in September 2015. The survey collected information on participant demographics, and their awareness, self-reported lifetime and past-year misuse of commonly available prescription medicines in Singapore as well as the use of a range of recreational drugs and novel psychoactive substances (NPS). Results: Lifetime (6.7%) and past-year (4.8%) misuse of any prescription medicine was comparable to lifetime (6.0%) and past-year (3.0%) use of any recreational drugs/NPS. The top five prescription medicines for lifetime misuse were: diazepam (2.7%); codeine (2.3%); dhasedyl (promethazine, codeine and ephedrine; 1.6%); panadeine (paracetamol and codeine; 1.5%); and methylphenidate (1.2%). The top five drugs for past-year misuse were: diazepam (1.6%); codeine (0.9%); panadeine (0.7%); alprazolam (0.6%); baclofen (0.6%); and gabapentin (0.6%). Conclusion: Misuse of prescription medicine in Singapore was common, with prevalence comparable to the use of recreational drugs/NPS. A common source for misused drugs was physicians. Further studies are required to determine whether this is more widespread in Singapore and establish the different forms of drug diversion, so that appropriate prevention strategies can be implemented.


Assuntos
Drogas Ilícitas , Medicamentos sob Prescrição , Transtornos Relacionados ao Uso de Substâncias , Humanos , Drogas Ilícitas/efeitos adversos , Saúde Pública , Singapura/epidemiologia , Transtornos Relacionados ao Uso de Substâncias/epidemiologia , Transtornos Relacionados ao Uso de Substâncias/tratamento farmacológico , Medicamentos sob Prescrição/efeitos adversos , Codeína , Diazepam , Prescrições
2.
J Med Internet Res ; 21(10): e15830, 2019 10 25.
Artigo em Inglês | MEDLINE | ID: mdl-31654568

RESUMO

BACKGROUND: In rapidly changing fields such as the study of drug use, the need for accurate and timely data is paramount to properly inform policy and intervention decisions. Trends in drug use can change rapidly by month, and using study designs with flexible modules could present advantages. Timely data from online panels can inform proactive interventions against emerging trends, leading to a faster public response. However, threats to validity from using online panels must be addressed to create accurate estimates. OBJECTIVE: The objective of this study was to demonstrate a comprehensive methodological approach that optimizes a nonprobability, online opt-in sample to provide timely, accurate national estimates on prevalence of drug use. METHODS: The Survey of Non-Medical Use of Prescription Drugs Program from the Researched Abuse, Diversion and Addiction Related Surveillance (RADARS) System is an online, cross-sectional survey on drug use in the United States, and several best practices were implemented. To optimize final estimates, two best practices were investigated in detail: exclusion of respondents showing careless or improbable responding patterns and calibration of weights. The approach in this work was to cumulatively implement each method, which improved key estimates during the third quarter 2018 survey launch. Cutoffs for five exclusion criteria were tested. Using a series of benchmarks, average relative bias and changes in bias were calculated for 33 different weighting variable combinations. RESULTS: There were 148,274 invitations sent to panelists, with 40,021 who initiated the survey (26.99%). After eligibility assessment, 20.23% (29,998/148,274) of the completed questionnaires were available for analysis. A total of 0.52% (157/29,998) of respondents were excluded based on careless or improbable responses; however, these exclusions had larger impacts on lower volume drugs. Number of exclusions applied were negatively correlated to total dispensing volume by drug (Spearman ρ=-.88, P<.001). A weighting scheme including three demographic and two health characteristics reduced average relative bias by 31.2%. After weighting, estimates of drug use decreased, reflecting a weighted sample that had healthier benchmarks than the unweighted sample. CONCLUSIONS: Our study illustrates a new approach to using nonprobability online panels to achieve national prevalence estimates for drug abuse. We were able to overcome challenges with using nonprobability internet samples, including misclassification due to improbable responses. Final drug use and health estimates demonstrated concurrent validity to national probability-based drug use and health surveys. Inclusion of multiple best practices cumulatively improved the estimates generated. This method can bridge the information gap when there is a need for prompt, accurate national data.


Assuntos
Estudos Transversais/métodos , Farmacoepidemiologia/métodos , Feminino , Inquéritos Epidemiológicos , Humanos , Internet , Masculino , Medicamentos sob Prescrição , Prevalência , Reprodutibilidade dos Testes
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