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Journal ArticleDOI

Significance of integration and use of multiple data sources for understanding substance use and mental health disorders.

25 May 2021-Addiction (John Wiley & Sons, Ltd)-Vol. 116, Iss: 10, pp 2611-2613
About: This article is published in Addiction.The article was published on 2021-05-25 and is currently open access. It has received 3 citations till now. The article focuses on the topics: Mental health & Substance abuse.
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TL;DR: This cross-sectional study of respondents to the National Survey on Drug Use and Health evaluates rates of medication for opioid use disorder receipt among people with need for treatment as well as associated sociodemographic characteristics.
Abstract: This cross-sectional study of respondents to the National Survey on Drug Use and Health evaluates rates of medication for opioid use disorder receipt among people with need for treatment as well as associated sociodemographic characteristics.

40 citations

Journal ArticleDOI
TL;DR: In this article , the authors assessed past-year ICD-10 dependence and treatment in Argentina, Chile, and Uruguay and estimated weighted prevalences of cannabis or cocaine-related (cocaine or cocaine paste) dependence.
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Journal ArticleDOI
TL;DR: Drug use frequency underreporting appears substantial, and might constitute an important threat to the validity of some treatment outcome evaluations, needs assessments and other analyses that rely on drug use frequency self-reports.

72 citations

Journal ArticleDOI
TL;DR: In this article, an alternative estimate drawing on a variety of sources including a survey of adult male arrestees is presented and explained, and the alternative estimate provides credible evidence that NSDUH underestimates the number of frequent heroin users by at least three-quarters and perhaps much more.
Abstract: Background Globally, heroin and other opioids account for more than half of deaths and years-of-life-lost due to drug use and comprise one of the four major markets for illegal drugs. Having sound estimates of the number of problematic heroin users is fundamental to formulating sound health and criminal justice policies. Researchers and policymakers rely heavily upon general population surveys (GPS), such as the US National Survey on Drug Use and Health (NSDUH), to estimate heroin use, without confronting their limitations. GPS-based estimates are also ubiquitous for cocaine and methamphetamine, so insights pertaining to GPS for estimating heroin use are also relevant for those drug markets. Analysis Four sources of potential errors in NSDUH are assessed: selective non-response, small sample size, sampling frame omissions and under-reporting. An alternative estimate drawing on a variety of sources including a survey of adult male arrestees is presented and explained. Other approaches to prevalence estimation are discussed. Findings Under-reporting and selective non-response in NSDUH are likely to lead to substantial underestimation. Small sample size leads to imprecise estimates and erratic year-to-year fluctuations. The alternative estimate provides credible evidence that NSDUH underestimates the number of frequent heroin users by at least three-quarters and perhaps much more. Implications GPS, even those as strong as NSDUH, are doomed by their nature to estimate poorly a rare and stigmatized behavior concentrated in a hard-to-track population. Although many European nations avoid reliance upon these surveys, many others follow the US model. Better estimation requires models that draw upon a variety of data sources, including GPS, to provide credible estimates. Recent methodological developments in selected countries can provide guidance. Journals should require researchers to critically assess the soundness of GPS estimates for any stigmatized drug-related behaviors with low prevalence rates.

54 citations

31 Aug 2013
TL;DR: The lifetime estimates of stroke and high blood pressure among adults from NSDUH were both lower than estimates from NHIS, NHANES, and MEPS, and there was considerable variation between surveys in the rate of lifetime heart disease.
Abstract: In addition to collecting data on substance use and mental health in the United States, the National Survey on Drug Use and Health also collects data on health conditions and health care utilization. It is important for users of these data to recognize how the NSDUH estimates differ from prevalence estimates produced by other nationally representative data sources, which have various objectives and scope, sampling designs, and data collection procedures. This report compares specific health conditions, overall health, and health care utilization prevalence estimates from the 2006 NSDUH and other national data sources. Methodological differences among these data sources that may contribute to differences in estimates are described. In addition to NSDUH, three of the data sources use respondent self-reports to measure health characteristics and service utilization: the National Health Interview Survey (NHIS), the Behavioral Risk Factor Surveillance System (BRFSS), and the Medical Expenditure Panel Survey (MEPS). One survey, the National Health and Nutrition Examination Survey (NHANES), conducts initial interviews in respondents’ homes, collecting further data at nearby locations. Five data sources provide health care utilization data extracted from hospital records; these sources include the National Hospital Discharge Survey (NHDS), the Nationwide Inpatient Sample (NIS), the Nationwide Emergency Department Sample (NEDS), the National Health and Ambulatory Medical Care Survey (NHAMCS), and the Drug Abuse Warning Network (DAWN). Several methodological differences that could cause differences in estimates are discussed, including type and mode of data collection; weighting and representativeness of the sample; question placement, wording, and format; and use of proxy reporting for adolescents.There were no differences between the lifetime estimate of diabetes among adults from NSDUH (7.7 percent) and the estimates from NHIS, NHANES, BRFSS, and MEPS. The lifetime estimate of asthma among adults from NSDUH (10.7 percent) was similar to the estimate from NHIS (11.0 percent); estimates from other sources ranged from 9.6 percent to 14.2 percent. The lifetime estimates of stroke and high blood pressure among adults from NSDUH were both lower than estimates from NHIS, NHANES, and MEPS, and there was considerable variation between surveys in the rate of lifetime heart disease. Estimates of past year inpatient hospitalization among adults did not differ significantly between NSDUH and NHANES, but NSDUH was significantly higher than the estimates derived from NHIS and MEPS. For both adults and adolescents, the NSDUH estimates of receiving treatment in an ER in the past year were higher than estimates from other surveys. Demographic differences in the prevalence of chronic health conditions and health care utilization were similar across multiple surveys. Given all of the methodological differences among these data sources, the similarities among estimates are noteworthy.

10 citations

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