Literature DB >> 33552801

Naturalistic Research on Recovery Processes: Looking to the Future.

Robert L Stout1.   

Abstract

Because recovery is an ongoing process, conducting research on the recovery process presents multiple challenges. The process can play out over many years, but change also can occur quickly. Although researchers are keenly interested in the precursors of these sudden changes, a researcher is unlikely to be present at critical moments; however, technology offers new options not available in prior years. Recovery research at this point, however, must be pursued largely through observational methods. Experiments involving aspects of recovery can and should be done, but observation is an essential part of recovery research. Hence, this paper focuses on technologies for conducting and analyzing observational studies. The author briefly reviews methods for gathering intensive longitudinal data and discusses how recovery researchers can take advantage of existing technology to delve more deeply into the complex processes associated with recovery and relapse. The future of recovery research, however, will require examining new ways of investigating recovery phenomena, including a new option for gathering data based on decision theory. Taking maximum advantage of existing and new technology for recovery research will require increasing collaboration between recovery researchers and quantitative scientists.

Entities:  

Keywords:  Bayesian decision making; alcohol; behavior; longitudinal; time-varying predictor

Year:  2021        PMID: 33552801      PMCID: PMC7846291          DOI: 10.35946/arcr.v41.1.02

Source DB:  PubMed          Journal:  Alcohol Res        ISSN: 2168-3492


  29 in total

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Authors:  Cheryl Teruya; Yih-Ing Hser
Journal:  Curr Drug Abuse Rev       Date:  2010-09

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3.  Wearable Biosensors to Detect Physiologic Change During Opioid Use.

Authors:  Stephanie Carreiro; Kelley Wittbold; Premananda Indic; Hua Fang; Jianying Zhang; Edward W Boyer
Journal:  J Med Toxicol       Date:  2016-06-22

4.  Determining the relative importance of the mechanisms of behavior change within Alcoholics Anonymous: a multiple mediator analysis.

Authors:  John F Kelly; Bettina Hoeppner; Robert L Stout; Maria Pagano
Journal:  Addiction       Date:  2011-09-19       Impact factor: 6.526

5.  Progression from a smoking lapse to relapse: prediction from abstinence violation effects, nicotine dependence, and lapse characteristics.

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Journal:  J Consult Clin Psychol       Date:  1996-10

6.  How good is fine-grained Timeline Follow-back data? Comparing 30-day TLFB and repeated 7-day TLFB alcohol consumption reports on the person and daily level.

Authors:  Bettina B Hoeppner; Robert L Stout; Kristina M Jackson; Nancy P Barnett
Journal:  Addict Behav       Date:  2010-08-13       Impact factor: 3.913

7.  New episodes and new onsets of major depression in borderline and other personality disorders.

Authors:  John G Gunderson; Robert L Stout; Charles A Sanislow; M Tracie Shea; Thomas H McGlashan; Mary C Zanarini; Maria T Daversa; Carlos M Grilo; Shirley Yen; Andrew E Skodol
Journal:  J Affect Disord       Date:  2008-03-20       Impact factor: 4.839

8.  The Longitudinal Interval Follow-up Evaluation. A comprehensive method for assessing outcome in prospective longitudinal studies.

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9.  Mechanisms of behavior change in alcoholics anonymous: does Alcoholics Anonymous lead to better alcohol use outcomes by reducing depression symptoms?

Authors:  John F Kelly; Robert L Stout; Molly Magill; J Scott Tonigan; Maria E Pagano
Journal:  Addiction       Date:  2010-01-22       Impact factor: 6.526

10.  Compliance with ecological momentary assessment protocols in substance users: a meta-analysis.

Authors:  Andrew Jones; Danielle Remmerswaal; Ilse Verveer; Eric Robinson; Ingmar H A Franken; Cheng K Fred Wen; Matt Field
Journal:  Addiction       Date:  2018-12-21       Impact factor: 6.526

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