Literature DB >> 29757671

Timeline: A web application for assessing the timing and details of health behaviors.

Tyler B Wray1, Alexander C Adia1, Ashley E Pérez1,2, Erik M Simpanen1, Laura-Allison Woods1, Mark A Celio1, Peter M Monti1.   

Abstract

BACKGROUND: Timeline Followback (TLFB) interview methods are used to assess a variety of health behaviors, including alcohol use, drug use, and sexual behavior. While several online TLFBs have been developed, most focus on single behaviors, and few studies have explored their validity in assessing multiple risk behaviors using a single online TLFB.
OBJECTIVE: To examine the validity of a customizable web application (Timeline) for assessing alcohol use, drug use, and sexual behavior among high-risk men who have sex with men.
METHODS: Participants (N = 15 men) completed standardized survey instruments before undergoing a 30-day daily diary procedure where they submitted daily reports of health risk behaviors via smartphone. They then completed a Timeline at the end of the 30-day period covering the same time interval.
RESULTS: Comparing a baseline administration of Timeline with popular surveys of health risk behaviors supported Timeline's validity (r = 0.41-0.59 for alcohol use, r = 0.83 for drug use, and r = 0.34-0.52) for sexual behaviors. While participants reported similar amounts of each behavior via daily diary as they did on a follow-up Timeline (r = 0.55-0.88 for alcohol use, r = 0.69 for drug use, and r = 0.87-0.92 for sexual behaviors), results provided evidence of underreporting on the Timeline. Timing of behaviors also frequently disagreed across these methods.
CONCLUSIONS: Timeline is valid for assessing overall engagement in alcohol use, drug use, and sexual behavior over a 30-day window. However, researchers interested in the specific timing of behaviors within assessment intervals should use smaller follow-up intervals (e.g., 7 days, 14 days) or more intensive reporting methods (e.g., daily diary).

Entities:  

Keywords:  HIV risk; alcohol use; assessment; drug use; longitudinal research

Mesh:

Year:  2018        PMID: 29757671      PMCID: PMC6235729          DOI: 10.1080/00952990.2018.1469138

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


  28 in total

Review 1.  Validity of Timeline Follow-Back for self-reported use of cannabis and other illicit substances--systematic review and meta-analysis.

Authors:  Carsten Rygaard Hjorthøj; Anne Rygaard Hjorthøj; Merete Nordentoft
Journal:  Addict Behav       Date:  2011-11-26       Impact factor: 3.913

Review 2.  A comprehensive review of the psychometric properties of the Drug Abuse Screening Test.

Authors:  Errol Yudko; Olga Lozhkina; Adriana Fouts
Journal:  J Subst Abuse Treat       Date:  2006-11-21

3.  The reliability of the Alcohol Timeline Followback when administered by telephone and by computer.

Authors:  L C Sobell; J Brown; G I Leo; M B Sobell
Journal:  Drug Alcohol Depend       Date:  1996-09       Impact factor: 4.492

4.  Reliability of the Timeline Followback for cocaine, cannabis, and cigarette use.

Authors:  Sean M Robinson; Linda Carter Sobell; Mark B Sobell; Gloria I Leo
Journal:  Psychol Addict Behav       Date:  2012-12-31

5.  A comparison of audio computer-assisted self-interviews to face-to-face interviews of sexual behavior among perinatally HIV-exposed youth.

Authors:  Curtis Dolezal; Stephanie L Marhefka; E Karina Santamaria; Cheng-Shiun Leu; Elizabeth Brackis-Cott; Claude Ann Mellins
Journal:  Arch Sex Behav       Date:  2011-05-21

6.  Correlations and agreement between delta-9-tetrahydrocannabinol (THC) in blood plasma and timeline follow-back (TLFB)-assisted self-reported use of cannabis of patients with cannabis use disorder and psychotic illness attending the CapOpus randomized clinical trial.

Authors:  Carsten Rygaard Hjorthøj; Allan Fohlmann; Anne-Mette Larsen; Mikkel Arendt; Merete Nordentoft
Journal:  Addiction       Date:  2012-02-13       Impact factor: 6.526

7.  Temporal stability of the timeline followback interview for alcohol and drug use with psychiatric outpatients.

Authors:  Kate B Carey; Michael P Carey; Stephen A Maisto; James M Henson
Journal:  J Stud Alcohol       Date:  2004-11

8.  Using Ecological Momentary Assessment (EMA) to Study Sex Events Among Very High-Risk Men Who Have Sex with Men (MSM).

Authors:  Tyler B Wray; Christopher W Kahler; Peter M Monti
Journal:  AIDS Behav       Date:  2016-10

9.  Agreement between prospective interactive voice response self-monitoring and structured retrospective reports of drinking and contextual variables during natural resolution attempts.

Authors:  Jalie A Tucker; H Russell Foushee; Bethany C Black; David L Roth
Journal:  J Stud Alcohol Drugs       Date:  2007-07       Impact factor: 2.582

10.  Levels and patterns of alcohol consumption using timeline follow-back, daily diaries and real-time "electronic interviews".

Authors:  M A Carney; H Tennen; G Affleck; F K Del Boca; H R Kranzler
Journal:  J Stud Alcohol       Date:  1998-07
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  6 in total

1.  Assessment of Alcohol Use and Consequences: Comparison of Data Collected Via Timeline Followback Interview and Daily Reports.

Authors:  Jennifer E Merrill; Pengyang Fan; Tyler B Wray; Robert Miranda
Journal:  J Stud Alcohol Drugs       Date:  2020-03       Impact factor: 2.582

2.  A Preliminary Randomized Controlled Trial of Game Plan, A Web Application to Help Men Who Have Sex with Men Reduce Their HIV Risk and Alcohol Use.

Authors:  Tyler B Wray; Christopher W Kahler; Erik M Simpanen; Don Operario
Journal:  AIDS Behav       Date:  2019-06

3.  Using Smartphone Survey Data and Machine Learning to Identify Situational and Contextual Risk Factors for HIV Risk Behavior Among Men Who Have Sex with Men Who Are Not on PrEP.

Authors:  Tyler B Wray; Xi Luo; Jun Ke; Ashley E Pérez; Daniel J Carr; Peter M Monti
Journal:  Prev Sci       Date:  2019-08

4.  Using the Internet to access key populations in ecological momentary assessment research: Comparing adherence, reactivity, and erratic responding across those enrolled remotely versus in-person.

Authors:  Daniel J Carr; Alexander C Adia; Tyler B Wray; Mark A Celio; Ashley E Pérez; Peter M Monti
Journal:  Psychol Assess       Date:  2020-05-21

5.  A Pilot, Randomized Controlled Trial of HIV Self-Testing and Real-Time Post-Test Counseling/Referral on Screening and Preventative Care Among Men Who Have Sex with Men.

Authors:  Tyler B Wray; Philip A Chan; Erik Simpanen; Don Operario
Journal:  AIDS Patient Care STDS       Date:  2018-09       Impact factor: 5.078

Review 6.  Measurement Properties of Smartphone Approaches to Assess Diet, Alcohol Use, and Tobacco Use: Systematic Review.

Authors:  Louise Thornton; Bridie Osman; Katrina Champion; Olivia Green; Annie B Wescott; Lauren A Gardner; Courtney Stewart; Rachel Visontay; Jesse Whife; Belinda Parmenter; Louise Birrell; Zachary Bryant; Cath Chapman; David Lubans; Tim Slade; John Torous; Maree Teesson; Pepijn Van de Ven
Journal:  JMIR Mhealth Uhealth       Date:  2022-02-17       Impact factor: 4.947

  6 in total

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