* aged 12-18 years,
* are able to speak and read English,
* are diagnosed with cancer (all disease types),
* are on active therapy,
* have an average self-reported pain score of ≥3/10 measured using an 11-point numerical rating scale (NRS) over the preceding week, and
* have an English-speaking and reading caregiver who is willing and able to complete outcome measures related to healthcare encounters
Exclusion Criteria:
* with significant cognitive impairments or co-morbid illnesses (as determined by their medical team) that would limit interaction with Pain Squad+ or outcome measure assessment,
* who are currently participating in other pain management studies, and
* who are not expected to survive past 16 weeks as determined by their oncologist
Source : Import from center
Cohorts
Proposed Therapy or Intervention
Cohorts
Name
Medical condition
Treatment
Recruitment status
Experimental Group A
Data not available
Participants in this arm will receive the Pain Squad+ smartphone app with algorithm-driven pain management advice registered nurse (RN)-initiated pain support. Email alerts related to clinically important incoming pain reports (3 consecutive reports of pain \>3/10) will be sent to the study RN who will contact the healthcare team at the participants' home center to initiate clinician-driven intervention, which may be outside of the scope of the self-management algorithm. The RN will contact the participant within 12 hours of receiving the alert, including on weekends.
Unknown
Experimental Group B
Data not available
Participants in this arm will receive the Pain Squad+ smartphone app with algorithm-driven pain management advice but without nurse (RN)-initiated pain support.
Unknown
Waitlist Control
Data not available
Participants in this arm will be waitlisted to receive their choice of experimental group condition within 1 month of completing all post-study outcome measures.
Unknown
Experimental Group A
Recruitment status
unknown
Participants in this arm will receive the Pain Squad+ smartphone app with algorithm-driven pain management advice registered nurse (RN)-initiated pain support. Email alerts related to clinically important incoming pain reports (3 consecutive reports of pain \>3/10) will be sent to the study RN who will contact the healthcare team at the participants' home center to initiate clinician-driven intervention, which may be outside of the scope of the self-management algorithm. The RN will contact the participant within 12 hours of receiving the alert, including on weekends.
Experimental Group B
Recruitment status
unknown
Participants in this arm will receive the Pain Squad+ smartphone app with algorithm-driven pain management advice but without nurse (RN)-initiated pain support.
Waitlist Control
Recruitment status
unknown
Participants in this arm will be waitlisted to receive their choice of experimental group condition within 1 month of completing all post-study outcome measures.
Current data since :
June 28, 2025 20:00
Study's description
Study description
Study summary
Pain negatively affects the quality of life of adolescents with cancer (AWC). It can also represent a high cost to the healthcare system and families. In response, our team has built a smartphone-based app, called Pain Squad+, which can give AWC real-time advice to manage their pain. The app uses pain diaries and personalized pain advice plus support from a registered nurse to give real-time pain management in all settings. This study will look at the impact of Pain Squad+, with or without the nurse support, on AWC health quality and healthcare costs over time.
Source : Import from center
Pain negatively affects the quality of life (QOL) of adolescents with cancer (AWC), slows cancer recovery, and results in negative long-term health effects. Pain is also significant cost to the healthcare system and families. To address this problem, the study investigators have developed and used a phased-approach to test a smartphone-based app, called Pain Squad+. Using this app AWC report the pain they have and the app provides AWC with advice on how to treat this pain based on an algorithm our team developed. An email is also sent to a nurse if an AWC reports severe pain 3 times in a row. The nurse then contacts the AWC to assist in treating pain. This project will test the effect of the Pain Squad+ app, with and without nurse help, on treating pain and other pain-related health issues and managing costs associated with pain care, when compared to AWC not using the app. Investigators will enroll 222 AWC recruited from 9 Canadian pediatric oncology care centres into a 3-group randomized controlled trial. AWC in the experimental groups will be asked to use Pain Squad+ for 8 weeks (with or without nurse involvement) and all groups will complete pain-related outcome measures at baseline, 2-, 4-, 8-, and 16-weeks. The primary study outcome will be pain intensity. The secondary study outcomes will be (a) pain interference; (b) QOL; (c) pain self-efficacy; and (d) cost effectiveness and utility. Investigators will use established statistical methods to analyze the health and cost data collected over the course of this study. A real-time and cost effective way to address the problem of pain in AWC is needed. Pain Squad+ can improve pain treatment and QOL for AWC as well as decrease costs incurred by families and the healthcare system. If effective, the Pain Squad+ as a model of technology-assisted care may represent a way to improve the QOL for a range of Canadian patients by treating a variety of physical and psychological symptoms the moment they occur.
