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IMPROVING ACCURACY OF ADOLESCENTS' SUBSTANCE USE REPORTS VIA TEXT MESSAGING
Author(s) -
THAYER RACHEL E.,
HUTCHISON KENT E.
Publication year - 2012
Publication title -
addiction
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.424
H-Index - 193
eISSN - 1360-0443
pISSN - 0965-2140
DOI - 10.1111/j.1360-0443.2011.03768.x
Subject(s) - recall , confidentiality , substance use , psychology , substance abuse , internet privacy , medicine , applied psychology , computer science , psychiatry , computer security , cognitive psychology
In 2010, 71.0% of 12th graders in the United States reported life-time alcohol use and 48.2% reported lifetime illicit drug use [1]. Existing measures of substance use show high test–retest reliability [2], but adolescent populations present unique challenges to issues of validity. Studies of the effects of substance use on adolescent development often rely upon self-report drug use histories, but it is notoriously difficult to collect accurate use records from teens, especially over long recall periods. Specifically, the opportunistic pattern characteristic of adolescent substance use probably provides few associations to aid recall, and adolescents may under-report because of low perceived confidentiality or lack of recognition of drug definitions [3]. More general obstacles include substancerelated memory deficits [4] and participant dropout. One opportunity to address these issues lies in mobile telephone technology. Text messaging is currently enhancing availability and delivery of substance use treatments [5], but also holds unmet potential for application to research methods. This letter discusses some considerations for future research with adolescent substance users. International surveys report high mobile telephone usage among adolescents [6–8], and utilizing text messaging during prospective observation periods of baseline substance use could dramatically improve report accuracy while remaining costand time-effective for participants and researchers. Existing measures such as the time-line follow-back (TLFB) [9], which aids recall of substance use through a calendar format, offer insight for potential mobile telephone adaptations. Recent research has noted that daily assessments on wireless mobile devices capture similar rates of alcohol use as traditional paper-and-pencil daily diaries [10]. Another study suggested that young adults reported a greater number of drinking days, total drinks and binge episodes when interviewed using four 7-day TLFBs rather than one 30-day TLFB, and greater discrepancies between reports were observed earlier in the recall period [11]. Given these findings, daily or weekly text messaging regarding quantity and frequency of use throughout an observation period could provide more accurate concrete data or prompts for later interview administration. Potential limitations to integrating text messaging into longitudinal data collection include possible low mobile telephone usage rates among high-risk populations and maintaining compliance with instructions. However, one sample of Australian adolescents and young adults appeared to find texting acceptable for research participation, with 73% of participants who were sent messages responding to a follow-up survey [12]. Mobile telephone usage was also found to be effective in following a typically hard-to-reach, high-risk population of homeless individuals [13]. A recent surge of studies examining the applications of text messaging for increasing compliance to medical appointments and treatments indicates general success in reaching patients through mobile telephones [14–16]. Given these trends, it is reasonable to expect that most participants, especially adolescents, would be amenable to brief updates via text messaging during longitudinal studies, and brief monthly messages would probably improve attrition rates. In summary, increasing the relevance of research to adolescents by adapting study participation to mobile telephone technology shows promise for improving data accuracy, and future research should consider incorporating text messaging into data collection.

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