Brief Motivational Interviewing and Normative Feedback for Adolescents: Change Language and Alcohol Use Outcomes

Davis, Jordan P.; Houck, Jon M.; Rowell, Lauren N.; Benson, Jennifer; Smith, Douglas C.

doi:10.1016/j.jsat.2015.10.004

Cited by 23 publications

(28 citation statements)

References 76 publications

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“…As can be seen in Table 2/left panel, the positive MI consistent skills to change talk path was supported across 21 primary studies that contributed 25 effect sizes (Apodaca, Magill, Longabaugh, Jackson, & Monti 2013; Boardman et al, 2006; Davis, Houck, Rowell, Benson, & Smith, 2015; Vader, Walters, Prabhu, Houck, & Field, 2010 examined two eligible MI conditions). Specifically, the inverse-variance weighted, pooled correlation coefficient was r = .55 (95% CI [.49, .60]; p < .001, Q < .05, I 2 = 63%).…”

Section: Resultsmentioning

confidence: 71%

See 1 more Smart Citation

A meta-analysis of motivational interviewing process: Technical, relational, and conditional process models of change.

Magill¹,

Apodaca²,

Borsari³

et al. 2018

Journal of Consulting and Clinical Psychology

246

163

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Objective In the present meta-analysis, we test the technical and relational hypotheses of Motivational Interviewing (MI) efficacy. We also propose an a priori conditional process model where heterogeneity of technical path effect sizes should be explained by interpersonal/relational (i.e., empathy, MI Spirit) and intrapersonal (i.e., client treatment seeking status) moderators. Method A systematic review identified k = 58 reports, describing 36 primary studies and 40 effect sizes (N = 3025 participants). Statistical methods calculated the inverse variance-weighted pooled correlation coefficient for the therapist to client and the client to outcome paths across multiple target behaviors (i.e., alcohol use, other drug use, other behavior change). Results Therapist MI-consistent skills were correlated with more client change talk (r = .55, p < .001) as well as more sustain talk (r = .40, p < .001). MI-inconsistent skills were correlated with more sustain talk (r = .16, p < .001), but not change talk. When these indicators were combined into proportions, as recommended in the Motivational Interviewing Skill Code, the overall technical hypothesis was supported. Specifically, proportion MI consistency was related to higher proportion change talk (r = .11, p = .004) and higher proportion change talk was related to reductions in risk behavior at follow up (r = −.16, p < .001). When tested as two independent effects, client change talk was not significant, but sustain talk was positively associated with worse outcome (r = .19, p < .001). Finally, the relational hypothesis was not supported, but heterogeneity in technical hypothesis path effect sizes was partially explained by inter- and intra-personal moderators. Conclusions This meta-analysis provides additional support for the technical hypothesis of MI efficacy; future research on the relational hypothesis should occur in the field rather than in the context of clinical trials.

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Section: Resultsmentioning

confidence: 71%

“…k = number of groups. Total k is 36 primary studies contributing 40 effect sizes (Apodaca et al, 2013; Boardman et al 2006; Davis et al, 2015; Vader et al, 2010 contributed two effect sizes). MI interventions were proficient, on average, with respect to MI Spirit and Empathy (M = 4.2(.8), M = 4.3(.7), respectively).…”

Section: Figurementioning

confidence: 99%

A meta-analysis of motivational interviewing process: Technical, relational, and conditional process models of change.

Magill¹,

Apodaca²,

Borsari³

et al. 2018

Journal of Consulting and Clinical Psychology

246

163

View full text Add to dashboard Cite

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“…[61][62][63][64][65][66][67][68][69][70][71][72][73][74][75][76] The majority (n = 13) were studies conducted in the USA, 61,[64][65][66][67][69][70][71][72][73][74][75][76] with one in Germany, 68 one in Mexico 63 and one in Western Australia. 62 The setting was mainly emergency departments (n = 8), 62,66,68,[70][71][72][73]75 with three in universities, 61,67,74 one with homeless adolescents, 76 one with young people referred from not-for-profit agencies, 65 one based in the community 64 and two based in schools. 63,69 The ASBIs used largely followed a manual and/or used MI techn...…”

Section: Alcohol Screening and Brief Interventionsmentioning

confidence: 99%

Brief alcohol intervention for risky drinking in young people aged 14–15 years in secondary schools: the SIPS JR-HIGH RCT

et al. 2019

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Background Adverse effects from young people’s alcohol consumption manifest in a range of physical and psychosocial factors, including neurological issues, cognitive impairment and risk-taking behaviours. The SIPS JR-HIGH pilot trial showed alcohol screening and brief intervention (ASBI) to be acceptable to young people and schools in the north-east of England. Objectives To conduct a two-arm, individually randomised controlled trial to evaluate the effectiveness and cost-effectiveness of ASBI for risky drinking in young people aged 14–15 years in the school setting, to monitor the fidelity of ASBI and to explore the barriers to, and facilitators of, implementation with staff, young people and parents. Design A baseline survey with a 12-month follow-up. Interviews with 30 school staff, 21 learning mentors and nine teachers, and 33 young people and two parents. Setting Thirty state schools in four areas of England: north-east, north-west, Kent and London. Participants Year 10 school pupils who consented to the study (aged 14–15 years, recruited between November 2015 and June 2016), school-based staff and parents of the young people who took part in the study. Interventions Young people who screened positively on a single alcohol screening question and consented were randomised to the intervention or control arm (blinded). The intervention was a 30-minute one-to-one structured brief intervention with a trained learning mentor and an alcohol leaflet. The control group received a healthy lifestyle leaflet (no alcohol information). Main outcome measures The primary outcome measure was total alcohol consumed in the last 28 days. Secondary outcomes related to risky drinking, general psychological health, sexual risk-taking, energy drink consumption, age of first smoking, quality of life, quality-adjusted life-years, service utilisation and demographic information. Results A total of 4523 young people completed the baseline survey, with 1064 screening positively (24%) and 443 being eligible to take part in the trial. Of those 443, 233 (53%) were randomised to the control arm and 210 were randomised to the intervention arm. Of the 443, 374 (84%) were successfully followed up at 12 months (intervention, n = 178; control, n = 196). The results were that the intervention showed no evidence of benefit for any alcohol-related measure when compared with the control arm. At 12 months we found a reduction from 61.9% to 43.3% using the Alcohol Use Disorders Identification Test cut-off point of 8 and cut-off point of 4 (69.0% to 60.7%). These results were not significant. A cost-effectiveness analysis showed that the average net cost saving of the brief intervention was £2865 (95% confidence interval –£11,272 to £2707) per year compared with usual practice, with the intervention showing a 76% probability of being cost saving compared with usual practice. The interview findings showed that school was an acceptable setting to carry out ASBI among staff and young people. Limitations Recruitment of parents to take part in interviews was poor. Only 18 ASBI sessions were recorded, making it difficult to assess internal validity. Conclusions Although the intervention was ineffective in reducing risky drinking in young people aged 14–15 years, it was well received by the young people and school staff who participated. Future work Uniform reporting of the outcomes used for ASBI would generate more robust conclusions on the effectiveness of ASBI in the future. Pilot feasibility studies should include more than one geographical area. Future work on involving parents is needed. Trial registration Current Controlled Trials ISRCTN45691494. Funding This project was funded by the National Institute for Health Research (NIHR) Public Health Research programme and will be published in full in Public Health Research; Vol. 7, No. 9. See the NIHR Journals Library website for further project information.

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“…That means that you drink as much as or more frequently than 56% of university students.' By comparing the participant's data with data from the ACHA-NCHA II, the app provides normative strategies to the students on how to reduce their drinking (ACHA-NCHA II 2016; Davis et al 2016). …”

Section: Module 5 Personalized Feedback (Pf)mentioning

confidence: 99%

REMIT: Development of a mHealth theory-based intervention to decrease heavy episodic drinking among college students

Kazemi

Borsari

Levine

et al. 2017

Addiction Research & Theory

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mHealth apps are an effective means of delivering health interventions, and the college-age population is particularly proficient at using apps. Informed by current theories of Ecological Momentary Interventions (EMI), Motivational Interviewing (MI), and the Transtheoretical Model (TTM) of Change, investigators have developed a self-monitoring app-Reductions through Ecological Momentary/ Motivational Intervention/Transtheoretical (REMIT)-with the aim of reducing hazardous drinking among college students. The app was developed using the Integrate, Design, Assess, and Share (IDEAS) framework. This step-by-step process for developing digital behavior change interventions was conducted in five phases to: (1) understand the users, (2) determine target behavior, (3) base the intervention in behavioral theory; (4) create delivery strategies, and (5) develop the REMIT prototype. REMIT uses assessments (informed by EMI) and components of MI and TTM to guide administration of nine modules designed to engage users in reducing alcohol use and related problems. REMIT users self-monitor their alcohol consumption and develop strategies to change drinking behaviors using a range of easyto-use features, such as the Virtual Coach, automated text messages, interactive gaming mechanisms (gamification), drink consumption tracking, and Blood Alcohol Concentration (BAC) calculators. mHealth interventions have been shown to reduce alcohol use among college students when they are applied in real-life, real-time contexts. REMIT is a theory-based app that incorporates user-friendly features to reduce hazardous drinking among college students. The next step is to conduct a pilot trial to test the efficacy of the app and enhance the REMIT prototype.ARTICLE HISTORY

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Brief Motivational Interviewing and Normative Feedback for Adolescents: Change Language and Alcohol Use Outcomes

Cited by 23 publications

References 76 publications

A meta-analysis of motivational interviewing process: Technical, relational, and conditional process models of change.

A meta-analysis of motivational interviewing process: Technical, relational, and conditional process models of change.

Brief alcohol intervention for risky drinking in young people aged 14–15 years in secondary schools: the SIPS JR-HIGH RCT

REMIT: Development of a mHealth theory-based intervention to decrease heavy episodic drinking among college students

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