Version 1
: Received: 27 July 2024 / Approved: 30 July 2024 / Online: 30 July 2024 (11:03:16 CEST)
How to cite:
Howell, K. E.; Baedke, J. L.; Bagherzadeh, F.; McDonald, A.; Nathan, P. C.; Ness, K. K.; Hudson, M. M.; Armstrong, G. T.; Yasui, Y.; Huang, I.-C. Using mHealth Technology to Evaluate Daily Symptom Burden Among Adult Survivors of Childhood Cancer: A Feasibility Study. Preprints2024, 2024072432. https://doi.org/10.20944/preprints202407.2432.v1
Howell, K. E.; Baedke, J. L.; Bagherzadeh, F.; McDonald, A.; Nathan, P. C.; Ness, K. K.; Hudson, M. M.; Armstrong, G. T.; Yasui, Y.; Huang, I.-C. Using mHealth Technology to Evaluate Daily Symptom Burden Among Adult Survivors of Childhood Cancer: A Feasibility Study. Preprints 2024, 2024072432. https://doi.org/10.20944/preprints202407.2432.v1
Howell, K. E.; Baedke, J. L.; Bagherzadeh, F.; McDonald, A.; Nathan, P. C.; Ness, K. K.; Hudson, M. M.; Armstrong, G. T.; Yasui, Y.; Huang, I.-C. Using mHealth Technology to Evaluate Daily Symptom Burden Among Adult Survivors of Childhood Cancer: A Feasibility Study. Preprints2024, 2024072432. https://doi.org/10.20944/preprints202407.2432.v1
APA Style
Howell, K. E., Baedke, J. L., Bagherzadeh, F., McDonald, A., Nathan, P. C., Ness, K. K., Hudson, M. M., Armstrong, G. T., Yasui, Y., & Huang, I. C. (2024). Using mHealth Technology to Evaluate Daily Symptom Burden Among Adult Survivors of Childhood Cancer: A Feasibility Study. Preprints. https://doi.org/10.20944/preprints202407.2432.v1
Chicago/Turabian Style
Howell, K. E., Yutaka Yasui and I-Chan Huang. 2024 "Using mHealth Technology to Evaluate Daily Symptom Burden Among Adult Survivors of Childhood Cancer: A Feasibility Study" Preprints. https://doi.org/10.20944/preprints202407.2432.v1
Abstract
Background: Cancer therapies predispose survivors to a high symptom burden. This study utilized mobile health (mHealth) technology to assess the feasibility of collecting daily symptoms from adult survivors of childhood cancer and evaluate symptom fluctuation and associations with future health-related quality-of-life (HRQOL).
Methods: A prospective study using an mHealth platform to distribute a 20-item cancer-related symptom survey (5 consecutive days each month) and an HRQOL survey (the day after symptom survey) over 3 consecutive months to participants from the Childhood Cancer Survivor Study. PROMIS-29 Profile and Neuro-QOL assessed HRQOL. Daily symptom burden was calculated by summing the severity (mild, moderate, or severe) of 20 symptoms. Univariate linear mixed-effects models analyzed total, person-to-person, day-to-day, and month-to-month variability for the burden of 20 individual symptoms. Multivariable linear regression analyzed the association between daily symptom burden in the first month and HRQOL in the third month, adjusting covariates.
Results: Out of the 60 survivors invited, 41 participated in this study (68% enrollment rate); 83% reported their symptoms ≥3 times and 95% reported HRQOL, both in each week across 3 months. Variability of daily symptom burden differed from person-to-person (74%), day-to-day (18%), and month-to-month (8%). Higher first-month symptom burden was associated with poorer HRQOL related to anxiety (regression coefficient: 6.56; 95%CI: 4.10-9.02), depression (6.32; 95%CI: 3.18-9.47), fatigue (7.93; 95%CI: 5.11-10.80), sleep (6.07; 95%CI: 3.43-8.70), pain (5.16; 95%CI: 2.11-8.22), and cognitive function (-6.89; 95%CI: -10.00 to -3.79) in the third month.
Conclusion: Daily assessment reveals fluctuations in symptomology, and higher symptom burden was associated with poorer HRQOL in the future. Utilizing mHealth technology for daily symptom assessment improves our understanding of symptom dynamics and sources of variability.
Keywords
Childhood Cancer Survivors; Health-Related Quality of Life; mHealth; Momentary Assessment; Symptoms
Subject
Public Health and Healthcare, Public Health and Health Services
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
