Literature DB >> 25970020

Consistency of self-reported drug use events in a mixed methods study of people who inject drugs.

Stephanie R Dyal1, Alex H Kral, Karina Dominguez Gonzalez, Lynn D Wenger, Ricky N Bluthenthal.   

Abstract

BACKGROUND: Little is known about the consistency of information provided by people who inject drugs (PWID) during quantitative and qualitative interviews in mixed methods studies.
OBJECTIVES: We illustrate the use of the intraclass correlation coefficient, descriptive statistics, and regression to assess the consistency of information provided during a mixed methods study of PWID living in Los Angeles and San Francisco, California, USA.
METHODS: Age of first use of heroin, methamphetamine, marijuana, powder cocaine, and crack cocaine and first injection of heroin, methamphetamine, and powder cocaine were collected during an interviewer administered computer-assisted personal interview followed by an in-depth qualitative interview (n = 102).
RESULTS: Participants were 63% male, racially/ethnically diverse. 80.4% between the ages of 40 and 60 years old, 89% US-born, and 57% homeless. Consistency of self-reported data was adequate for most drug use events. Exact concordance between quantitative and qualitative measures of age of onset ranged from 18.2-50%. Event ordering was consistent across qualitative and quantitative results for 90.2% of participants. Analyses indicated that age of onset for heroin use, heroin injection, and injection of any drug was significantly lower when assessed by qualitative methods as compared to quantitative methods.
CONCLUSION: While inconsistency will emerge during mixed method studies, confidence in the timing and ordering of major types of events such as drug initiation episodes appear to be warranted.

Entities:  

Keywords:  Injection drug use; life course theory; mixed methods research; qualitative methods; reliability

Mesh:

Year:  2015        PMID: 25970020      PMCID: PMC4593486          DOI: 10.3109/00952990.2015.1037842

Source DB:  PubMed          Journal:  Am J Drug Alcohol Abuse        ISSN: 0095-2990            Impact factor:   3.829


  22 in total

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5.  Factors associated with being asked to initiate someone into injection drug use.

Authors:  Ricky N Bluthenthal; Lynn Wenger; Daniel Chu; Jennifer Lorvick; Brendan Quinn; James P Thing; Alex H Kral
Journal:  Drug Alcohol Depend       Date:  2015-02-19       Impact factor: 4.492

6.  Interdisciplinary mixed methods research with structurally vulnerable populations: case studies of injection drug users in San Francisco.

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7.  Factors associated with initiating someone into illicit drug injection.

Authors:  Ricky N Bluthenthal; Lynn Wenger; Daniel Chu; Brendan Quinn; James Thing; Alex H Kral
Journal:  Drug Alcohol Depend       Date:  2014-09-18       Impact factor: 4.492

Review 8.  Early-onset drug use and risk for drug dependence problems.

Authors:  Chuan-Yu Chen; Carla L Storr; James C Anthony
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Authors:  R H C Palmer; S E Young; C J Hopfer; R P Corley; M C Stallings; T J Crowley; J K Hewitt
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Authors:  Suzanne Moffatt; Martin White; Joan Mackintosh; Denise Howel
Journal:  BMC Health Serv Res       Date:  2006-03-08       Impact factor: 2.655

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  5 in total

1.  Drug use generations and patterns of injection drug use: Birth cohort differences among people who inject drugs in Los Angeles and San Francisco, California.

Authors:  Ricky N Bluthenthal; Lynn Wenger; Daniel Chu; Philippe Bourgois; Alex H Kral
Journal:  Drug Alcohol Depend       Date:  2017-04-19       Impact factor: 4.492

2.  Electronic Health Record-Based Screening for Substance Abuse.

Authors:  Farrokh Alemi; Sanja Avramovic; Mark D Schwartz
Journal:  Big Data       Date:  2018-09-19       Impact factor: 2.128

3.  An exploration of alcohol use severity and route of drug administration among persons that use heroin and cocaine.

Authors:  Michael Scherer; Paul T Harrell; Rebecca C Trenz; Sarah Canham; William W Latimer
Journal:  Subst Abus       Date:  2015-11-13       Impact factor: 3.716

4.  Differences in time to injection onset by drug in California: Implications for the emerging heroin epidemic.

Authors:  Ricky N Bluthenthal; Daniel Chu; Lynn D Wenger; Philippe Bourgois; Thomas Valente; Alex H Kral
Journal:  Drug Alcohol Depend       Date:  2018-02-15       Impact factor: 4.492

5.  Prevalence and predictors of recent temporary psychiatric hold among a cohort of people who inject drugs in Los Angeles and San Francisco, California.

Authors:  Kelsey A Simpson; Hrant Gevorgian; Alex H Kral; Lynn Wenger; Philippe Bourgois; Ricky N Bluthenthal
Journal:  Drug Alcohol Depend       Date:  2021-07-29       Impact factor: 4.852

  5 in total

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