Data triangulation for substance abuse research.

Item request has been placed! ×
Item request cannot be made. ×
loading   Processing Request
  • Author(s): van Hasselt M;van Hasselt M
  • Source:
    Addiction (Abingdon, England) [Addiction] 2021 Oct; Vol. 116 (10), pp. 2613-2615. Date of Electronic Publication: 2021 Jun 22.
  • Publication Type:
    Journal Article; Comment
  • Language:
    English
  • Additional Information
    • Source:
      Publisher: Wiley-Blackwell Country of Publication: England NLM ID: 9304118 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1360-0443 (Electronic) Linking ISSN: 09652140 NLM ISO Abbreviation: Addiction Subsets: MEDLINE
    • Publication Information:
      Publication: Oxford : Wiley-Blackwell
      Original Publication: Abingdon, Oxfordshire, UK : Carfax Pub. Co., c1993-
    • Subject Terms:
    • Comments:
      Comment on: Addiction. 2021 Oct;116(10):2600-2609. (PMID: 33651441)
      Comment in: Addiction. 2021 Oct;116(10):2924-2926. (PMID: 34159670)
      Comment in: Addiction. 2021 Oct;116(10):2615-2616. (PMID: 34184339)
    • References:
      Reuter P., Caulkins J. P., Midgette G. Heroin use cannot be measured adequately with a general population survey. Addiction 2021; https://doi.org/10.1111/add.15458.
      Kroutil L. A., Vorburger M., Aldworth J., Colliver J. D. Estimated drug use based on direct questioning and open-ended questions: responses in the 2006 National Survey on drug use and health. Int J Methods Psychiatr Res 2010; 19: 74-87; https://doi.org/10.1002/mpr302.
      McNeely J., Gourevitch M. N., Paone D., Shah S., Wright S., Heller D. Estimating the prevalence of illicit opioid use in new York City using multiple data sources. BMC Public Health 2012; 12: 443 http://www.biomedcentral.com/1471-2458/12/443.
      Pepper J. V. How do response problems affect survey measurement of trends in drug use? In: Manski C. F., Pepper J. V., Petrie C. V., editors. Informing America's Policy on Illegal Drugs: What We Don't Know Keeps Hurting Us. Washington, DC: The National Academies Press; 2001, pp. 321-348.
      Rehm J., Kilian C., Rovira P., Shield K. D., Manthey J. The elusiveness of representativeness in general population surveys for alcohol. Drug Alcohol Rev 2021; 40: 161-165; https://doi.org/10.1111/dar.13148.
      Slavova S., Rock P., Bush H. M., Quesinberry D., Walsh S. L. Signal of increased opioid overdose during COVID-19 from emergency medical services data. Drug Alcohol Depend 2020; 214: 108176; https://doi.org/10.1016/j.drugalcdep.2020.108176.
      Niles J. K., Gudin J., Radcliff J., Kaufman H. W. The opioid epidemic within the COVID-19 pandemic: drug testing in 2020. Popul Health Manag 2021; 24: S-43-S-51; https://doi.org/10.1089/pop.2020.0230.
      Pollard M. S., Tucker J. S., Green H. D. Changes in adult alcohol use and consequences during the COVID-19 pandemic in the US. JAMA Netw Open 2020; 3: e2022942; https://doi.org/10.1001/jamanetworkopen.2020.22942.
      O'Rourke K. An historical perspective on meta-analysis: dealing quantitatively with varying study results. J R Soc Med 2007; 100: 579-582.
      Curran P. J., Hussong A. M. Integrative data analysis: the simultaneous analysis of multiple data sets. Psychol Methods 2009; 14: 81-100.
      Horwood L. J., Fergusson D. M., Coffey C., Patton G. C., Tait R., Smart D., et al. Cannabis and depression: an integrative data analysis of four Australasian cohorts. Drug Alcohol Depend 2012; 126: 369-378; https://doi.org/10.1016/j.drugalcdep.2012.06.002.
      Silins E., Fergusson D. M., Patton G. C., Horwood L. J., Olsson C. A., Hutchinson D. M., et al. Adolescent substance use and educational attainment: an integrative data analysis comparing cannabis and alcohol from three Australasian cohorts. Drug Alcohol Depend 2015; 156: 90-96; https://doi.org/10.1016/j.drugalcdep.2015.08.034.
      National Academies of sciences, Engineering, and Medicine Innovations in Federal Statistics: combining data sources while protecting privacy. Washington, DC: The National Academies Press; 2017 https://doi.org/10.17226/24652.
      National Academies of sciences, Engineering, and Medicine Federal Statistics, multiple data sources, and privacy protection: next steps. Washington, DC: The National Academies Press; 2017 https://doi.org/10.17226/24893.
      Lohr S. L. Alternative survey sample designs: sampling with multiple overlapping frames. Surv Methodol 2011; 37: 197-213.
      Lohr S. L., Raghunathan T. E. Combining survey data with other data sources. Stat Sci 2017; 32: 293-312; https://doi.org/10.1214/16-STS584.
      Jones H. E., Harris R. J., Downing B. C., Pierce M., Millar T., Ades A. E., et al. Estimating the prevalence of problem drug use from drug-related mortality data. Addiction 2020; 115: 2393-2404; https://doi.org/10.1111/add.15111.
      Citro C. F. From multiple modes for surveys to multiple data sources for estimates. Surv Methodol 2014; 40: 137-161.
    • Contributed Indexing:
      Keywords: Data triangulation; population survey; sampling bias; substance use; survey non-response; under-reporting
    • Publication Date:
      Date Created: 20210622 Date Completed: 20210922 Latest Revision: 20210922
    • Publication Date:
      20240105
    • Accession Number:
      10.1111/add.15596
    • Accession Number:
      34155713