Literature DB >> 22081727

Does Telephone Audio Computer-Assisted Self-Interviewing Improve the Accuracy of Prevalence Estimates of Youth Smoking? Evidence from the UMass Tobacco Study.

Douglas Currivan1, Amy L Nyman, Charles F Turner, Lois Biener.   

Abstract

Despite their advantage for obtaining representative samples of adolescents, telephone surveys have been regarded as inferior for collecting data on youth tobacco use because they yield lower estimates than school-based self-administered surveys. Although no gold standard for smoking estimates exists, the lower estimates in telephone surveys have been attributed to underreporting due to youths' concern about parents or others overhearing their responses. Telephone audio computer-assisted self-interviewing (T-ACASI) is a cost-effective method for obtaining a representative sample of youths and provides increased privacy for the respondent. We hypothesized that using T-ACASI would encourage youths to more fully report smoking behavior compared to traditional interviewer-administered telephone methods. Our analysis further assessed whether respondent age, gender, race/ethnicity, and parental attitude toward smoking moderated the relationship between survey mode and smoking reports. Using data from a statewide tobacco use survey that randomly assigned youth respondents to either T-ACASI or interviewer-administered mode, we found youths were more likely to report smoking behaviors in T-ACASI mode and that this was especially true for girls, particularly those who believed their parents would disapprove strongly of their smoking. Findings suggest that traditional telephone surveys may underestimate smoking prevalence in most girls by a factor of two, and that a technique for insuring privacy for these respondents is an important component of effective telephone survey methodology.

Entities:  

Year:  2004        PMID: 22081727      PMCID: PMC3213895          DOI: 10.1093/poq/nfh039

Source DB:  PubMed          Journal:  Public Opin Q        ISSN: 0033-362X


  5 in total

1.  Automating Telephone Surveys: Using T-ACASI to Obtain Data on Sensitive Topics.

Authors:  Philip C Cooley; Heather G Miller; James N Gribble; Charles F Turner
Journal:  Comput Human Behav       Date:  1998

2.  Gender, perceived parental monitoring, and behavioral adjustment: influences on adolescent alcohol use.

Authors:  John A Webb; James H Bray; J Greg Getz; Gerald Adams
Journal:  Am J Orthopsychiatry       Date:  2002-07

3.  Prevalence of youth substance use: the impact of methodological differences between two national surveys.

Authors:  J Gfroerer; D Wright; A Kopstein
Journal:  Drug Alcohol Depend       Date:  1997-07-25       Impact factor: 4.492

4.  Smoking prevalence in a cohort of adolescents, including absentees, dropouts, and transfers.

Authors:  P L Pirie; D M Murray; R V Luepker
Journal:  Am J Public Health       Date:  1988-02       Impact factor: 9.308

5.  Comparability of a computer-assisted versus written method for collecting health behavior information from adolescent patients.

Authors:  P M Webb; G D Zimet; J D Fortenberry; M J Blythe
Journal:  J Adolesc Health       Date:  1999-06       Impact factor: 5.012

  5 in total
  11 in total

1.  Impact of T-ACASI on Survey Measurements of Subjective Phenomena.

Authors:  Thomas Harmon; Charles F Turner; Susan M Rogers; Elizabeth Eggleston; Anthony M Roman; Maria A Villarroel; James R Chromy; Laxminarayana Ganapathi; Sheping Li
Journal:  Public Opin Q       Date:  2009-05-28

2.  Improving epidemiological surveys of sexual behaviour conducted by telephone.

Authors:  Charles F Turner; Alia Al-Tayyib; Susan M Rogers; Elizabeth Eggleston; Maria A Villarroel; Anthony M Roman; James R Chromy; Phillip C Cooley
Journal:  Int J Epidemiol       Date:  2009-05-15       Impact factor: 7.196

3.  Questions for Surveys: Current Trends and Future Directions.

Authors:  Nora Cate Schaeffer; Jennifer Dykema
Journal:  Public Opin Q       Date:  2011-12

4.  Relationships between self-reported smoking, household environmental tobacco smoke exposure and depressive symptoms in a pregnant minority population.

Authors:  Sylvia Tan; Lauren P Courtney; Ayman A E El-Mohandes; Marie G Gantz; Susan M Blake; Jutta Thornberry; M Nabil El-Khorazaty; David Perry; Michele Kiely
Journal:  Matern Child Health J       Date:  2011-12

5.  Using Audio Computer-Assisted Self-Interviewing and Interactive Voice Response to Measure Elder Mistreatment in Older Adults: Feasibility and Effects on Prevalence Estimates.

Authors:  Scott R Beach; Richard Schulz; Howard B Degenholtz; Nicholas G Castle; Jules Rosen; Andrea R Fox; Richard K Morycz
Journal:  J Off Stat       Date:  2010       Impact factor: 0.920

6.  SAME-GENDER SEX IN THE UNITED STATES IMPACT OF T-ACASI ON PREVALENCE ESTIMATES.

Authors:  Maria A Villarroel; Charles F Turner; Elizabeth Eggleston; Alia Al-Tayyib; Susan M Rogers; Anthony M Roman; Philip C Cooley; Harper Gordek
Journal:  Public Opin Q       Date:  2006

Review 7.  Application of audio computer-assisted self-interviews to collect self-reported health data: an overview.

Authors:  J L Brown; A Swartzendruber; R J DiClemente
Journal:  Caries Res       Date:  2013-10-07       Impact factor: 4.056

8.  A mixed-methods study to inform the clarity and accuracy of cannabis-use and cannabis-tobacco co-use survey measures.

Authors:  Shannon Lea Watkins; Pearl Karliner-Li; Youn Ok Lee; Kimberly A Koester; Pamela M Ling
Journal:  Drug Alcohol Depend       Date:  2021-04-21       Impact factor: 4.852

9.  The developmental effects of HIV and alcohol: a comparison of gestational outcomes among babies from South African communities with high prevalence of HIV and alcohol use.

Authors:  Kirsten A M Donald; Anne Fernandez; Kasey Claborn; Caroline Kuo; Nastassja Koen; Heather Zar; Dan J Stein
Journal:  AIDS Res Ther       Date:  2017-05-08       Impact factor: 2.250

10.  Movie smoking and youth initiation: parsing smoking imagery and other adult content.

Authors:  Matthew C Farrelly; Kian Kamyab; James Nonnemaker; Erik Crankshaw; Jane A Allen
Journal:  PLoS One       Date:  2012-12-14       Impact factor: 3.240

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