Literature DB >> 20488630

The use of administrative data as a substitute for individual screening scores in observational studies related to problematic alcohol or drug use.

Jeanne M Sears1, Antoinette Krupski, Jutta M Joesch, Sharon L Estee, Lijian He, Melissa Ford Shah, Alice Huber, Chris Dunn, Richard Ries, Peter P Roy-Byrne.   

Abstract

Administrative data provide a rich resource for improving our understanding of individuals with substance use disorders. The validation of administrative proxies for moderate or high risk alcohol or drug (AOD) use could enhance the ability to carry out rigorous observational research (for example, for use in the construction of comparison groups). This study used receiver operating characteristic (ROC) curve techniques to assess how well AOD-related administrative indicators predicted self-reported AOD use obtained from AUDIT/DAST screening scores. An administrative AOD indicator, derived from a combination of medical encounter and billing data, arrest records, and publicly funded AOD-related services data, demonstrated discrimination in the acceptable range (AUC: 0.72-0.78) for identifying self-reported AOD use consistent with potential need for either (1) any AOD-related intervention, or (2) intensive AOD-related intervention or treatment. These findings held up in two distinct samples: a statewide Medicaid-only sample and a single-site mixed-payer sample that included the uninsured. Our findings suggest that indicators of AOD-related problems derived from administrative data can be useful for identifying moderate or high risk AOD use in a research context. The findings further suggest that proxies for substance use disorders, such as those evaluated here, can enhance future observational studies intended to improve health care for this population. Copyright 2010 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Mesh:

Year:  2010        PMID: 20488630     DOI: 10.1016/j.drugalcdep.2010.03.013

Source DB:  PubMed          Journal:  Drug Alcohol Depend        ISSN: 0376-8716            Impact factor:   4.492


  5 in total

1.  A randomized controlled trial of intensive care management for disabled Medicaid beneficiaries with high health care costs.

Authors:  Janice F Bell; Antoinette Krupski; Jutta M Joesch; Imara I West; David C Atkins; Beverly Court; David Mancuso; Peter Roy-Byrne
Journal:  Health Serv Res       Date:  2014-11-26       Impact factor: 3.402

2.  Hazard of Cervical, Oropharyngeal, and Anal Cancers in HIV-Infected and HIV-Uninfected Medicaid Beneficiaries.

Authors:  Joanne M Michaud; Tingting Zhang; Theresa I Shireman; Yoojin Lee; Ira B Wilson
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2020-05-08       Impact factor: 4.090

3.  Using NIATx strategies to implement integrated services in routine care: a study protocol.

Authors:  James H Ford; Eric L Osborne; Mehret T Assefa; Amy M McIlvaine; Ahney M King; Kevin Campbell; Mark P McGovern
Journal:  BMC Health Serv Res       Date:  2018-06-08       Impact factor: 2.655

4.  Trends in medication adherence in HIV patients in the US, 2001 to 2012: an observational cohort study.

Authors:  Bora Youn; Theresa I Shireman; Yoojin Lee; Omar Galárraga; Ira B Wilson
Journal:  J Int AIDS Soc       Date:  2019-08       Impact factor: 6.707

5.  Self-reported alcohol and drug use six months after brief intervention: do changes in reported use vary by mental-health status?

Authors:  Antoinette Krupski; Jeanne M Sears; Jutta M Joesch; Sharon Estee; Lijian He; Alice Huber; Chris Dunn; Peter Roy-Byrne; Richard Ries
Journal:  Addict Sci Clin Pract       Date:  2012-10-30
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.