Evidence-based health and well-being for entire populations.

The Pro-Change Difference

What sets Pro-Change apart from other behavior change programs is the depth and extent of scientific research on which programs are built and the fact that we continue to use the outcomes generated by our programs to refine their methods and content.

Pro-Change programs have an unparalleled evidence-base. Each program relies on empirically derived decision-making rules that are created based on multivariate statistical analyses of large normative datasets. The programs are created with funding from peer-reviewed NIH grants. The outcome studies demonstrating the effectiveness of the programs are published in peer-reviewed journals. We have summarized each program’s effectiveness in Pro-Change LifeStyle Program Outcomes.

Pro-Change’s Solutions are Unique

Pro-Change solutions are truly population-based and leverage all of the constructs of the Transtheoretical Model (TTM) as opposed to just stage of change. Though important, stage is only one of 14 variables in the TTM. Pro-Change programs also update individualized feedback each time a user interacts with the system as opposed to basing all participant feedback on the first interaction.

Meta-analyses of tailored programs have consistently demonstrated that this type of dynamic tailoring on multiple constructs from the TTM has significantly more impact on behavior change outcomes (Noar et al., 2007; Krebs et al., 2011). Mobile optimization, text messaging, and highly-interactive activities built into the programs are additional features that can increase engagement and user satisfaction.

The planned expansion of the LifeStyle Suite to include interventions for sleep and pain self-management underscore the ways in which Pro-Change continually strives to improve its offering to meet the needs of broad populations.

The coach’s version of each computer-tailored intervention permits counseling to be evidence-based and matched to the needs of each client, unlike many coaching protocols that are based solely on clinical judgment.


Our Value Added Features

  • Evidenced-based, individually tailored behavior change tools that leverage best practices in behavior change science
  • Customized behavior change guidance that is dynamically updated each time a user returns to the program
  • Unique capacity to simultaneously intervene on multiple behaviors
  • Engaging, mobile-optimized programs include interactive Personal Activity Centers
  • Each program includes a bulleted version of participant feedback for coaches or health care providers who want to provide counseling on health behavior change
  • Tailored text intervention messaging can be enabled
  • Most programs are written at a 6th grade reading level, use plain language to ensure readability, and include diverse images to ensure broad appeal to all audiences
  • Flexible software platform that allows integration into a variety of environments
  • LifeStyle programs are in English and Spanish
  • Programs accommodate single sign-on if linked to from other sites
  • Organization codes allow branding for multiple customers and independent tracking of participants and outcomes
  • Standard, longitudinal reporting can be generated automatically
  • Each program undergoes continuous quality improvement with annual updates
  • Pro-Change has demonstrated capacity to continually innovate, bringing new programs online quickly and efficiently using rigorous research methodology
  • Outcomes are published in peer reviewed journals
  • Programs use all the constructs of the Transtheoretical Model, not just stage
  • Stage-matched goals are suggested for each behavior

Comparing Pro-Change vs. Competitors


Comparison Variable Pro-Change Competitors (includes telephonic and digital coaching)
NIH Peer-Reviewed and Funded
NIH = National Institutes of Health, Peer-Reviewed = Reviewed by other researchers for funding recommendations
Yes Rarely
Developed for Entire Populations
Those not ready, getting ready, and ready to change to a healthier behavior
Yes Preparation stage typically
Preparation = intending to take action in the next month
Uses All TTM Constructs
TTM = Transtheoretical Model of Behavior Change, which uses stages of change to integrate change constructs from leading theories of behavior change
Yes No, typically uses stages of change only
Feedback Tailored at Each Contact
Tailored = assessing each relevant TTM construct and tailoring feedback to current assessment
Yes No, typically at first feedback only
Normative and Ipsative Feedback
Normative = compared to others, Ipsative = compared to self at a previous timepoint
Yes No, typically normative feedback only
Scientific Decision Making
Decisions based on statistical probabilities on what steps would be most likely to produce change based on previous research
Yes No, typically clinical judgment after first feedback
Clinical judgment is based on clinicians’ best guess as to what steps will be most helpful.
Tested on Entire Populations Yes No, typically on select samples
(usually those in Preparation)
Tested by Randomized Controlled Trials (RCTs)
RCTs involve randomly assigning participants to treatment or control groups to control for variables that could bias outcomes.
Yes No, typically uncontrolled case studies
Individualized
Feedback is based on needs of each individual as determined by assessments at each intervention contact.
Fully Not typically
Improves Alternate Interventions
Computer-based feedback improves coaching outcomes.
Yes No
Treats Multiple Risks
Treats multiple behavior risks simultaneously
Yes, as effectively as treating a single risk No, typically focused on only one risk at a time
Impacts Multiple Behaviors
Changes multiple behaviors treated at same time.
Unprecedented No, typically treated single or sequentially
Amount of Evidence Used to Develop Programs
Evidence includes database and statistical decision rules that determine how to tailor feedback.
High Low
Participation Rates
Percentage of a target population that participated in RCTs
High Low
Impact on Population
Impact = percent participation x percent successful x the sum of the number of behaviors changedThe higher the impact, the greater number of risk behaviors changed in the entire target population.
Highest Low
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