Treatment may influence self-report and jeopardize our understanding of outcome.

Author: BairdJanette, LongabaughRichard, MelloMichael J, NirenbergTed

Paper Details 
Original Abstract of the Article :
Standardized measures of self-reported alcohol use are the predominant method by which change in alcohol use following interventions is evaluated. This study examined whether the invariance of the test-retest pretreatment Alcohol Use Disorders Identification Test (AUDIT) was affected by the treatmen...See full text at original site
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引用元:
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3749320/

データ提供:米国国立医学図書館(NLM)

Self-Reported Alcohol Use: A Shifting Landscape in the Desert of Addiction

The assessment of [alcohol use] is crucial for understanding and managing [alcohol use disorders]. This study explores the impact of [treatment] on self-reported alcohol use, specifically examining the reliability of the [Alcohol Use Disorders Identification Test (AUDIT)] before and after treatment. It's like navigating a desert landscape: the terrain can change drastically, and our understanding of the environment needs to adapt accordingly.

Treatment Can Influence Self-Reported Alcohol Use

The study found that the reliability of the AUDIT was influenced by the treatment experience, suggesting that treatment interventions can affect self-reported alcohol use. It's like a mirage in the desert: our perception of the environment can be altered by external factors. This highlights the importance of considering the potential influence of treatment on self-reported alcohol use when assessing outcomes.

Importance of Careful Assessment

The study emphasizes the need for careful assessment of alcohol use, acknowledging the potential influence of treatment on self-reported data. It's like using a different compass in different parts of the desert: we need to adjust our tools and methods to account for the shifting landscape of alcohol use.

Dr.Camel's Conclusion

This research highlights the dynamic nature of alcohol use and the potential impact of treatment on self-reported data. It's like navigating a desert with ever-changing dunes: we must adapt our methods and interpretations to ensure an accurate understanding of this complex issue.

Date :
  1. Date Completed 2014-03-13
  2. Date Revised 2021-10-21
Further Info :

Pubmed ID

23948537

DOI: Digital Object Identifier

PMC3749320

Related Literature

SNS
PICO Info
in preparation
Languages

English

Positive IndicatorAn AI analysis index that serves as a benchmark for how positive the results of the study are. Note that it is a benchmark and requires careful interpretation and consideration of different perspectives.

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