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Evidence & Research
Proven engagement. Proven outcomes.
Proven impact.
Proven impact.
Engagement that drives outcomes
Manage My Pain is used consistently by people around the world.
- Global Adoption125,000+ individuals across 130 countries in 7 languages.
(English, French, Spanish, German, Simplified Chinese, Korean, and Russian) - Loved by users4.7★ rating on Google Play and the App Store
(top-ranked pain app on both stores) -
Clincally-validated improvements
Manage My Pain is developed and validated through peer-reviewed research, showing measurable benefits in real-world populations.
Demonstrated financial impact
Manage My Pain reduces costs by shortening disability durations and lowering healthcare spend.
Clients using Manage My Pain experienced 7.5 months shorter disability claim durations.
Reduced paramedical and prescription drug costs, especially in working-age and female populations.
Where savings accrue
- Disabilityfewer/shorter claims
- Health planslower drug & paramedical spend
- Employersreduced disability/absenteeism
Backed by peer-reviewed research
Explore the full body of evidence behind Manage My Pain, from controlled trials to real-world deployments
March 28, 2025
Using one month of self-reported information collected by patients of the Transitional Pain Service using the Manage My Pain app, a machine learning model predicted patient improvement in pain interference with a 79% accuracy.
August 9, 2024
Describes the development of ManagingLife's scalable, digital self-guided intervention to address postsurgical pain and opioid use.
November 2, 2021
Description of how Alberta Health Services will test Manage My Pain with patients having elective surgery in Calgary, Alberta
March 4, 2021
A real-world multi-site study found that the use of Manage My Pain by patients with chronic pain is associated with engagement and improvements in self-reported anxiety and pain catastrophizing.
October 13, 2020
Manage My Pain was found acceptable by a majority of patients at an academic pain management program with rates of user registration and retention favorable compared to those reported by other applications.
November 20, 2019
Simplifies the prediction model in the previous machine learning paper to make it easier to apply clinically
November 15, 2018
Applies machine learning (supervised learning) to predict chronic pain outcomes 6 months in the future using 1 month of app data
Predicting users' future pain experience based on the engagement with manage my pain, an mHealth app
June 28, 2018
Defines a new type of pain outcome measure and lays the foundation for an upcoming machine learning paper
May 29, 2018
Highlights the value of Manage My Pain to researchers conducting a randomized controlled trial for fibromyalgia patients at the Toronto General Hospital
May 21, 2018
Describes interim findings from patients at a post-surgical pain management clinic at the Toronto General Hospital who use Manage My Pain
October 4, 2017
Describes the partnership with Toronto General Hospital to develop key features in Manage My Pain (e.g. Daily Reflection, reports, portal, alerts) and explains how institutional concerns were addressed (e.g. consent, security, privacy)
July 24, 2017
Applies machine learning (unsupervised learning) to answer the question, "Who uses Manage My Pain?" - the first publication applying machine learning on a large chronic pain patient data-set
April 21, 2017
Highlights the psychological benefits of using Manage My Pain at a post-surgical pain management clinic at the Toronto General Hospital
November 11, 2016
Describes how Manage My Pain is used at a post-surgical pain management clinic at the Toronto General Hospital
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