The Transtheoretical Model to Help Clients Thrive

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The Transtheoretical Model to Help Clients Thrive James O. Prochaska, Ph.D. Director and Professor Cancer Prevention Research Center University of Rhode Island Founder Pro-Change Behavior Systems, Inc.

Recovery from Mental and Substance Abuse Disorders: a voluntary and individually driven process of change through which individuals work to improve their own health and well-being, live a productive life, and welcome opportunities for growth. SAMSHA, Substance Abuse and Mental Health Services Administration, (2011) ROSC committee, Recovery Definition and Guiding Principles. http://www.samhsa.gov/recovery/

Recovery is holistic and exists on a continuum of improved health and wellness. SAMSHA, 2011

Stages of Change

Stages of Change

Engagement and Intervention Issues Reach Retain Progress Process Success

Programs have to communicate that they are tailored to needs of each patient: 1. Wherever you are at, we can work with that! 2. Traffic light: Red light not ready; Yellow light getting ready; Green light ready.

Proactive alone will not work A. Kaiser example with smoking

T-scores Stage Profiles of Completers and Dropouts of Psychotherapy 56 54 52 50 48 46 44 42 PC C A M Premature Termination Appropriate Termination Continuers Brogan, MM, Prochaska, JO & Prochaska, JM. (1999). Predicting termination and continuation status in psychotherapy using the transtheoretical model. Psychotherapy, 36, 105-113.

Stage Transitions 56 54 52 50 Pros Cons 48 46 44 PC Cont PR Action Maint The pros and cons of changing across stages of change for 48 behaviors Hall, K. L. & Rossi, J. S. (2008). Meta-analytic examination of the strong and weak principles across 48 health behaviors. Preventive Medicine, 46, 266-274.

T-Scores Decisional Balance of Drug Addiction Treatment Across Stage 65 60 55 50 45 40 PC C PR A/M Stage Pros Cons

T-Scores Perceived Coercion and Choice Over Participating In Drug Addiction Treatment Across Stage 65 60 Choice Coercion 55 50 45 40 PC C PR A/M Stage

When social controls (including incentives) are used, programs have to help transform social controls into self controls. Air Force example with smoking

Treatment Groups 1. Action-oriented Manuals 2. Stage-Matched Manuals 3. Stage-Matched Computers & Manuals 4. Counselors & Stage-Matched Computers

Percentage 30 20 Action Manuals Stage Manuals Computers+ Counselors+ 10 0 Pretest 6 12 18 Assessment Periods Prochaska, JO, DiClemente, CC, Velicer, WF & Rossi, JS. (1993). Standardized, individualized, interactive and personalized self-help programs for smoking cessation. Health Psychology, 12, 399-405.

Partner Abuse: Six Month Follow-up with First 250 Participants Victims Report Standard Care & 3 Individualized Computer Sessions Mandated Standard Group Therapy 1. Threatened to hit or throw something 2. Threw something at me 3. Kicked with force that could hurt 20% 47% 15% 28% 9% 21% 4. Beat me up 3% 23% Levesque DA, Ciavatta MM, Castle PH, Prochaska JM, Prochaska JO. (2012)/ Evaluation of a Stage-Based, Computer-Tailored Adjunct to Usual Care for Domestic Violence Offenders.. Psychol Violence., 2(4):368-684.

Partner Abuse: Six Month Follow-up with First Offender Report 250 Participants Standard Care & 3 Individualized Computer Sessions Mandated Standard Group Therapy 1. Precontemplation Stage 18% 30% 2. Action Stage with Low Relapse Risk 37% 12% 3. Couples Therapy 25% 12% 4. Other Group Therapy 37% 18% 5. Self-help Books 58% 25% 6. Talked to Medical Professional 40% 22% Levesque DA, Ciavatta MM, Castle PH, Prochaska JM, Prochaska JO. (2012). Evaluation of a Stage-Based, Computer-Tailored Adjunct to Usual Care for Domestic Violence Offenders.. Psychol Violence., 2(4):368-684.

Point Prevalence Abstinence Age 40 35 30 25 20 15 <=24 25-34 35-44 45-54 10 5 0 12 24 Assessment (Months) 55-64 65+ Velicer, WF, Redding, CA, Sun, X, & Prochaska, JO. (2007). Demographic variables, smoking variables, and outcome across five studies. Health Psychology, 26, 278-287.

Proactive Cessation With Adolescents in Primary Care Tailored Intervention Assessment Only 23.9% 11.4% Hollis, JF, Polen, MR, Whitlock, EP; Lichtenstein, E., Mullooly, JP, Velicer, W.F., & Redding, C.A. (2005). TEEN REACH: Outcomes from a randomized controlled trial of a tobacco reduction program among teens seen in primary medical care. Pediatrics, 115, 981-999.

Point Prevalence Abstinence Race 30 25 20 15 10 5 0 White Black 12 24 Assessment (Month) Velicer, WF, Redding, CA, Sun, X, & Prochaska, JO. (2007). Demographic variables, smoking variables, and outcome across five studies. Health Psychology, 26, 278-287.

Point Prevalence Abstinence 40 35 30 25 20 15 10 5 0 Hispanic 12 24 Assessment (Month) No Yes Velicer, WF, Redding, CA, Sun, X, & Prochaska, JO. (2007). Demographic variables, smoking variables, and outcome across five studies. Health Psychology, 26, 278-287.

Proactive Cessation with Depressed Patients: Abstinence at 18 Months Tailored Intervention + Assessment Only 24.6% 19.1% Hall, S. M., Tsoh, J. V., Prochaska, J. J., Eisendrath, S., Humfleet, G. L., Gorecki, J. A. et al. (2006). Treatment for Cigarette Smoking Among Depressed Mental Health Outpatients: A Randomized Clinical Trial. American Journal of Public Health, 96, 1808-1814.

Proactive Cessation with Patients Hospitalized for Mental Illness Tailored Assessment 20% 8% Prochaska, J.J., Hall, S., Delucchi, K., & Hall, S.M. (2014). Efficacy of initiating tobacco dependence treatment in inpatient psychiatry: A randomized controlled trial. American Journal of Public Health, 104(8), 1557-1565.

Adding TTM-tailored Interventions to Midwife Counseling with Pregnant Smokers Adding TTM-tailored interventions produced 8.2 times the impacts of midwife counseling alone 1. Increased Recruitment 2. Increased Retention 3. Increased Efficacy 4. Decreased Mis-reporting 5. Produced 8.2 times greater impacts Lawrence,T, Aveyard, P, Cheng, K, Griffin, C, Johnson, C, & Croghan, E. (2005). Does stage-based smoking cessation advice in pregnancy result in long-term quitters? 18-month postpartum follow-up of a randomized controlled trial. Addiction, 100 (1), 107-116.

Percentage in Action/Maintenance for Stress Management 70 60 50 40 30 20 10 0 Treatment Control Baseline 6 month 12 month 18 month 2 significant (p <.001) at 6, 12, & 18 months (Pre-Action at Baseline Only) Evers, K.E., Prochaska, J.O., Johnson, J.L., Mauriello, L.M., Padula, J.A., & Prochaska, J.M. (2006). A randomized clinical trial of a population- and Transtheoretical model-based stress-management intervention. Health Psychology, 25, 521-529.

Coaction: The increased probability of progressing to Action on a second behavior (e.g. diet) when individuals have progressed to Action on an initial behavior (e.g. smoking). Coaction in Odds Ratio Control Group 1.0 TTM Intervention Group 1.5-3.5 Johnson SS 1, Paiva AL 2, Mauriello L 1, Prochaska JO 2, Redding C 2, Velicer WF. (2014). Coaction in multiple behavior change interventions: consistency across multiple studies on weight management and obesity prevention. Health Psychol, 33(5):475-80. doi: 10.1037/a0034215. Epub 2013 Nov 25.

Percentage Adherence: Regression from A/M by Group Post-action at Baseline 100 95 90 85 80 75 70 65 60 55 50 Treatment Control Baseline 6 months 12 months 18 months Johnson, SS, Driskell, MM, Johnson, JL, Dyment, SJ, Prochaska, JO, Prochaska, JM, & Bourne, L. (2006). Transtheoretical model intervention for adherence to lipid-lowering drugs. Disease Management, 9, 102-114.

% in A/M Exercise Staging: Adherence Group Progression to A/M by Group (pre-action at baseline) 50 40 30 20 10 0 Treatment Control Baseline 6 months 12 months 18 months Johnson, SS, Driskell, MM, Johnson, JL, Dyment, SJ, Prochaska, JO, Prochaska, JM, & Bourne, L. (2006). Transtheoretical model intervention for adherence to lipid-lowering drugs. Disease Management, 9, 102-114.

% in A/M Dietary Fat Staging: Adherence Group Progression to A/M by Group (pre-action at baseline) 30 25 20 15 10 5 0 Treatment Control Baseline 6 months 12 months 18 months Johnson, SS, Driskell, MM, Johnson, JL, Dyment, SJ, Prochaska, JO, Prochaska, JM, & Bourne, L. (2006). Transtheoretical model intervention for adherence to lipid-lowering drugs. Disease Management, 9, 102-114.

Two Years of Primary Care Counseling I. No effects on any of the four target behaviors II. No increased effect on four behaviors treated effectively with TTM-tailored interventions

Two Years of Worksite Campaign I. No effects on any of the multiple targeted behaviors II. No increased effect on multiple behaviors treated effectively with TTM-tailored interventions

Costs per health condition and behavior and percentage of successful employees at long-term follow-up who participate in our programs Health Related Condition Cost per Employee Costs per 1,000 employees % of long-term successes per 1,000 employees Heart Disease $6,000 $232,000 N/A Stress $4,100 $2,700,000 65% Smoking $4,000 $880,000 25% Diet Risk $7,000 $2,000,000 45% Exercise Risk $3,800 $1,700,000 45% Weight Risk $3,900 $1,700,000 30% Non-adherence: Statins Non-adherence: Antihypertensive 60% 60% Depression $6,400 $1,900,000 70% Dr. Alberto Colombi, Medical Director for PPG Industries

Elements of Well-being (2013) 1. Physical Health 2. Social Well-being 3. Community Well-being 4. Financial Well-being 5. Purpose Tom Rath & James K Harter. (2010). Well-being : the five essential elements. New York : Gallup Press, cop. 2010. ISBN-978-1-59562-040-8.

Well-being RCT Determine the effects on multiple risks and multiple domains of well-being of Pro-Change s effective LifeStyle Programs: Online program for stress management Telephonic coaching program for exercise management 3 group design Prochaska, J.O., Evers, K.E., Castle, P.H., Johnson, J.L., Prochaska, J.M., Rula, E.Y., Coberley, C., & Pope, J.E. (2012). Enhancing Multiple Domains of Well-being by Decreasing Multiple Health Risk Behaviors: A Randomized Clinical Trial. Population Health Management, 15 (5), 276-286.

Baseline Demographics 39 States represented 59% female 52% currently employed 5.2% full time student 42.7% never smoke 20% reported no depression Age: Mean = 48.35 (13.53) Range = 18-86 Chronic conditions: Mean = 3.74 (3.09) Range = 0-34 Behavior risks: Mean = 4.14 (1.44) Range = 0-9 James O. Prochaska, Kerry E. Evers, Patricia H. Castle, Janet L. Johnson, Janice M. Prochaska, Elizabeth Y. Rula, Carter Coberley, and James E. Pope. (2012). Population Health Management, 15(5): 276-286. doi:10.1089/pop.2011.0060.

Baseline Demographics: BMI 45% 40% 35% 30% 25% 20% 15% 10% 5% 0% Underweight Normal Overweight Obese James O. Prochaska, Kerry E. Evers, Patricia H. Castle, Janet L. Johnson, Janice M. Prochaska, Elizabeth Y. Rula, Carter Coberley, and James E. Pope. (2012). Population Health Management, 15(5): 276-286. doi:10.1089/pop.2011.0060.

Baseline Stage of Change Regular Exercise Stress Management PC 30.2% (1250) C 32.7% (1354) PR 27.4% (1132) A 5.8% (239) M 3.9% (161) PC 31.0% (1282) C 26.3% (1089) PR 22.8% (941) A 8.1% (336) M 11.8% (488) James O. Prochaska, Kerry E. Evers, Patricia H. Castle, Janet L. Johnson, Janice M. Prochaska, Elizabeth Y. Rula, Carter Coberley, and James E. Pope. (2012). Population Health Management, 15(5): 276-286. doi:10.1089/pop.2011.0060.

Number of Behavior Risks Mean Differences (T1-T2) Group Multiple Imputation Exercise Coach -1.18 Stress Online -0.82 Control -0.49 James O. Prochaska, Kerry E. Evers, Patricia H. Castle, Janet L. Johnson, Janice M. Prochaska, Elizabeth Y. Rula, Carter Coberley, and James E. Pope. (2012). Population Health Management, 15(5): 276-286. doi:10.1089/pop.2011.0060.

IWBS: Emotional Health Mean Differences (T1-T2) Group Exercise Coach 14.54 Stress Online 12.03 Control 7.75 James O. Prochaska, Kerry E. Evers, Patricia H. Castle, Janet L. Johnson, Janice M. Prochaska, Elizabeth Y. Rula, Carter Coberley, and James E. Pope. (2012). Population Health Management, 15(5): 276-286. doi:10.1089/pop.2011.0060.

Life Evaluation Categories:T1 70% 60% 50% 40% 30% 20% Suffering Struggling Thriving 10% 0% Control Stress Exercise James O. Prochaska, Kerry E. Evers, Patricia H. Castle, Janet L. Johnson, Janice M. Prochaska, Elizabeth Y. Rula, Carter Coberley, and James E. Pope. (2012). Population Health Management, 15(5): 276-286. doi:10.1089/pop.2011.0060.

Life Evaluation Categories:T2 70% 60% 50% 40% 30% 20% Suffering Struggling Thriving 10% 0% Control Stress Exercise James O. Prochaska, Kerry E. Evers, Patricia H. Castle, Janet L. Johnson, Janice M. Prochaska, Elizabeth Y. Rula, Carter Coberley, and James E. Pope. (2012). Population Health Management, 15(5): 276-286. doi:10.1089/pop.2011.0060.

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