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Michael E. Levin, Utah State University Steven C. Hayes, Jacqueline Pistorello ,

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Michael E. Levin, Utah State University Steven C. Hayes, Jacqueline Pistorello , University of Nevada Reno John Seeley, Oregon Research Institute. Preventing Mental Health Problems in College Students through Web-Based ACT. Disclosure. - PowerPoint PPT Presentation
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Michael E. Levin, Utah State University Steven C. Hayes, Jacqueline Pistorello, University of Nevada Reno John Seeley, Oregon Research Institute Preventing Mental Health Problems in College Students through Web- Based ACT
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Page 1: Michael E. Levin, Utah State University Steven C. Hayes, Jacqueline  Pistorello ,

Michael E. Levin,Utah State University

Steven C. Hayes, Jacqueline Pistorello,University of Nevada Reno

John Seeley,Oregon Research Institute

Preventing Mental Health Problems in College Students through Web-Based ACT

Page 2: Michael E. Levin, Utah State University Steven C. Hayes, Jacqueline  Pistorello ,

The ACT on College Life project is supported by a Small Business Innovation Research grant awarded to Contextual Change LLC National Institute of Mental Health - R43 MH085336 Intended to eventually lead to a commercial product

DISCLOSURE

Page 3: Michael E. Levin, Utah State University Steven C. Hayes, Jacqueline  Pistorello ,

Depression and anxiety disorders among college students are prevalent and costly

Effective prevention approaches have been developed, but are rarely implemented by colleges and universities

Challenges to implementation include Students are at risk for a range of disorders, but programs are

generally disorder-specific Costs of implementation, training, and supervision for face-to-face

interventions

Mental Health Challenges in the College Population

Blanco et al., 2008; Kessler et al., 2005

Page 4: Michael E. Levin, Utah State University Steven C. Hayes, Jacqueline  Pistorello ,

Transdiagnostic web-based prevention Target a range of disorders with a single program Easy and cost effective to implement

Psychological inflexibility is a common risk factor across disorders

Psychological inflexibility can be targeted with ACT to produce clinical improvements

Can ACT be used to target psychological inflexibility to prevent disorders from developing? And can it be done using a readily disseminable method?

ACT AS A TRANSDIAGNOSTIC WEB-BASED PREVENTION APPROACH

Page 5: Michael E. Levin, Utah State University Steven C. Hayes, Jacqueline  Pistorello ,
Page 6: Michael E. Levin, Utah State University Steven C. Hayes, Jacqueline  Pistorello ,

Lesson 1: Exploring your values Defining what values are Clarifying and reflecting on personal

values Defining effective and values-based goals Goal setting

Lesson 2: Dealing with barriers Exploring internal barriers to values-

based action The problem with control strategies Defining and practicing willingness Linking willingness to values-based action

ACT-CL Lesson Content

Page 7: Michael E. Levin, Utah State University Steven C. Hayes, Jacqueline  Pistorello ,

Pilot RCT with 76 first-year college studentsRandomized to ACT-CL or waitlist

ACT-CL was acceptable to usersACT-CL impacted ACT knowledge and values

processes But not psychological inflexibility

ACT-CL impacted depression and anxiety among distressed students

Failed to replicate effects with waitlist condition

Initial Pilot Results with ACT-CL

Levin, Pistorello, Hayes & Seeley, 2014

Page 8: Michael E. Levin, Utah State University Steven C. Hayes, Jacqueline  Pistorello ,

Feasibility RCT comparing ACT-CL to an active control website (mental health education)Replicating/extending testing of acceptability and

potential efficacy

Universal prevention approach with broad sample of undergraduate students

Current Study Overview

Page 9: Michael E. Levin, Utah State University Steven C. Hayes, Jacqueline  Pistorello ,

• 234 undergraduate college students from UNR• Eligible if undergraduate, fluent in English and 18 or older• Recruited through Psychology classes, flyers on campus, SONA

• Demographics• 77% Female• 76% White; 24% ethnic/racial minority• Median age of 20 (Range = 18 – 58)• Year in school: 29% first year student, 37% second or third year,

35% fourth year or higher

Measures completed at baseline, post, 1-month and 3-month follow up

Participants automatically randomized to condition after completing baseline assessment

Participants and Procedures

Page 10: Michael E. Levin, Utah State University Steven C. Hayes, Jacqueline  Pistorello ,

Outcome measures Depression, Anxiety, Stress Scale (DASS-21) Mental Health Continuum (MHC)

Process measures Avoidance and Fusion Questionnaire (AFQ) Personal Values Questionnaire (PVQ) Five Facet Mindfulness Questionnaire (FFMQ)

Acting with awareness and Nonreactivity subscales ACT Knowledge System Usability Scale (SUS)

Measures

Page 11: Michael E. Levin, Utah State University Steven C. Hayes, Jacqueline  Pistorello ,

Two core multimedia lessons and follow up emails Identical to the content included in the initial pilot trial

Web-based mindfulness resources Sent as a link after users completed each lesson Focused on targeting present moment awareness and defusion

Optional text messages Sent 3 and 6 days after users finished each lesson Focused on strengthening and generalizing ACT skills

Email and phone call reminders

ACT on College Life

Page 12: Michael E. Levin, Utah State University Steven C. Hayes, Jacqueline  Pistorello ,

MULTIMEDIA ELEMENTS

Page 13: Michael E. Levin, Utah State University Steven C. Hayes, Jacqueline  Pistorello ,

INTERACTIVE ELEMENTS

Page 14: Michael E. Levin, Utah State University Steven C. Hayes, Jacqueline  Pistorello ,

EXAMPLE: VALUES CARD SORT

Page 15: Michael E. Levin, Utah State University Steven C. Hayes, Jacqueline  Pistorello ,

EXAMPLE: VALUES CARD SORT

Page 16: Michael E. Levin, Utah State University Steven C. Hayes, Jacqueline  Pistorello ,

PROGRAM TAILORING

Page 17: Michael E. Levin, Utah State University Steven C. Hayes, Jacqueline  Pistorello ,

Basic educational information about depression and anxiety Symptoms, causes and prevalence of disorders Basic and brief information on coping strategies Lesson 1 – Depression Lesson 2 – Stress and Anxiety

Content taken from halfofus.com and ulifeline.com Excluded more active intervention content (i.e.,

celebrities describing experiences) and content targeting psychological flexibility processes

Primarily text-based with some illustrations and quizzes

Healthy Living: Active Control Website

Page 18: Michael E. Levin, Utah State University Steven C. Hayes, Jacqueline  Pistorello ,

Significantly lower program completion rates with ACT-CL compared to control condition and initial pilot trial

ACT-CL program usage Only 36.4% requested to receive text messages Only 16.4% accessed the mindfulness resources at least once

ACT-CL Control

Pilot ACT-CL

Lesson 1 completed

85% 100% 97%

Lesson 2 completed

55% 86% 92%

Relatively Poor Program Engagement in ACT-CL

Page 19: Michael E. Levin, Utah State University Steven C. Hayes, Jacqueline  Pistorello ,

Significantly higher rating for ACT-CL in the initial pilot

Single item satisfaction ratings were significantly lower in ACT-CL compared to control website on Overall satisfaction Willingness to use the program again Perceived helpfulness for students Whether would recommend the program to others

ACT-CL Control Pilot ACT-CLSUS M (SD) 73.41 (19.72) 72.63 (17.54) 84.97 (9.89)

Low Satisfaction Ratings with ACT-CL

Page 20: Michael E. Levin, Utah State University Steven C. Hayes, Jacqueline  Pistorello ,

Tested time by condition interaction effects in mixed model repeated measures ANOVAs

Greater pre to post improvements in ACT knowledge in the ACT-CL condition (p < .001, Cohen’s d = 1.23)

No other significant between group effects

Program Completer Analyses

Page 21: Michael E. Levin, Utah State University Steven C. Hayes, Jacqueline  Pistorello ,

Similar pattern of results except Greater pre to 3-month improvement in education values success

in the control condition (p = .088, Cohen’s d = .23)

Lower remission rates of severe depression/anxiety symptoms in ACT-CL among those with severe symptoms at baseline Higher rate of severe symptoms at post (χ2 = 3.80, p = .051,

Cohen’s d = .26) and 3-month follow up (χ2 = 2.79, p = .095, Cohen’s d = .22).Severe distress at

baselinePost 1-

month3-month

ACT-CL (n = 19) 79% 68% 63%Control (n = 24) 50% 46% 38%

Intent-To-Treat Analyses

Page 22: Michael E. Levin, Utah State University Steven C. Hayes, Jacqueline  Pistorello ,

Analyses conducted among the following subgroups: No, mild or high levels of distress Higher or lower psychological inflexibility First year or non-first year students Male or female Minority or non-minority

No consistent between group effects for any of the subgroups

Program satisfaction and engagement did not differ by subgroup

Subgroup Analyses

Page 23: Michael E. Levin, Utah State University Steven C. Hayes, Jacqueline  Pistorello ,

Pre to post AFQ improvements related to 1-month improvements in depression, anxiety, stress, positive mental health and values successPartial correlations (controlling for baseline outcome) coefficients

ranging between .15 and .28

Improvements in ACT knowledge related to 1-month improvements in inflexibility (r = .43) and mindfulness (r = .23)ACT-CL arm only

Testing the Psychological Flexibility Model

Page 24: Michael E. Levin, Utah State University Steven C. Hayes, Jacqueline  Pistorello ,

Time on Lessons Time on ACT-CL lesson 1 related to improvements at post on

inflexibility, values and mindfulness Time on control lessons not related to post improvements

Word CountValues writing word count related to post improvements on

mindfulness and valuesLesson 1 goal setting word count related to post improvements on

values Lesson 2 goal setting word count related to post improvements on

inflexibility, mindfulness, and values

Text messages Participants receiving text messages improved more at post on

inflexibility, mindfulness and values

Relationship Between Program Engagement and Changes in Flexibility

Page 25: Michael E. Levin, Utah State University Steven C. Hayes, Jacqueline  Pistorello ,

ACT-CL prototype had relatively low acceptability/usabilityNo consistent differences by subgroups on impact, usage or

acceptabilityTechnology failure for ACT-CL prototype Failure to differentially impact outcome or process measures May be due to the use of a limited prototype intervention, poor

program engagement and/or strong active condition

Support found for the psychological flexibility model Improvements in flexibility predicted improvements in outcomes

Engagement in ACT-CL predictive of improvements in psychological inflexibility

Summary

Page 26: Michael E. Levin, Utah State University Steven C. Hayes, Jacqueline  Pistorello ,

Surprisingly low engagement/satisfaction given sophistication and development resources with ACT-CL

Some users disliked these more sophisticated elements Particularly the tunneled format, use of audio narration, and the

program seeming targeted to a younger audience

Students appeared to like a text driven approach

Differences between current and pilot trial may be due to differences in degree of personal contact and compensation

Low Program Engagement/Satisfaction for ACT-CL

Page 27: Michael E. Levin, Utah State University Steven C. Hayes, Jacqueline  Pistorello ,

Further research is needed on how to transport ACT to web-based prevention and how to increase user engagement

Integrating text messaging and mobile app features

Incentivizing participation and promoting adherence

Balancing sophisticated elements with more simple, text-driven elements within a flexible user interface

Prototype testing and iterative design

Future Directions

Page 28: Michael E. Levin, Utah State University Steven C. Hayes, Jacqueline  Pistorello ,

Thank You!


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