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coQoL Approach: coCalibrating Physical and Psychological Outcomes & Consumer Wearable Activity Outcomes

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Citation of a related scientific paper:
Manea, V., & Wac, K. (2020). Co-Calibrating Physical and Psychological Outcomes and Consumer Wearable Activity Outcomes in Older Adults: An Evaluation of the coQoL Method. Journal of Personalized Medicine, 10(4), 203.

The talk details:
Katarzyna Wac, "coQoL Approach", International Society for Quality of Life Research (ISOQOL) Conference, PLENARY SESSION: “Video killed the radio star”: How technology is changing the way we collect, analyze and interpret patient-relevant data, October 2020

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coQoL Approach: coCalibrating Physical and Psychological Outcomes & Consumer Wearable Activity Outcomes

  1. 1. Quality of Life Technologies Lab University of Geneva (CH) & University of Copenhagen (DK) qualityoflifetechnologies.org coQoL Approach coCalibrating Physical and Psychological Outcomes & Consumer Wearable Activity Outcomes Prof. Katarzyna Wac & QoL Team ISOQOL Conference, October 2020 PLENARY SESSION: “Video killed the radio star”: How technology is changing the way we collect, analyze and interpret patient-relevant data
  2. 2. Sources & Types of Outcomes Mayo, N. E., Figueiredo, S., Ahmed, S., & Bartlett, S. J. (2017). Montreal Accord on Patient-Reported Outcomes (PROs) use series–Paper 2: Terminology proposed to measure what matters in health. Journal of clinical epidemiology, 89, 119-124. TechROs PROs
  3. 3. Currently... 3~6 months
  4. 4. The Big Picture
  5. 5. Dey, A. K., Wac, K., Ferreira, D., Tassini, K., Hong, J. H., & Ramos, J. (2011). Getting closer: An Empirical Investigation Of The Proximity Of User To Their Smart Phones. In Proceedings of the ACM UBICOMP. Smartphone 88% of the time next to us
  6. 6. Wac, K. (2018). From Quantified Self to Quality of Life, Chapter in: Digital Health: Scaling Healthcare to the World, Series: Health Informatics, Springer Nature, Dordrecht, the Netherlands. Annotated wearables dataset https://doi.org/10.6084/m9.figshare.9702122 Smartphone & Wearables 438 wearables (2018)
  7. 7. Future...
  8. 8. Bending the Curve Wac, K., Fiordelli, M., Gustarini, M., & Rivas, H. (2015). Quality of life technologies: Experiences from the field and key challenges. IEEE Internet Computing, 19(4), 28-35. Fries, J. F. (2002). Aging, natural death, and the compression of morbidity. Bulletin of the World Health Organization, 80, 245-250. QoL Domains QoL Facets (13/24) Physical health Activities of daily living ✓ Dependence on medicinal substances and medical aids Energy and fatigue ✓ Mobility ✓ Pain and discomfort ✓ Sleep and rest ✓ Work capacity Psychological health Bodily image and appearance Negative feelings ✓ Positive feelings ✓ Self-esteem Spirituality / Religion / Personal beliefs ✓ Thinking, learning, memory, and concentration Social relationships Personal relationships ✓ Social support ✓ Sexual activity Environment Financial resources Freedom, physical safety, and security ✓ Health and social care: accessibility, and quality Home environment Opportunities for acquiring new information and skills Participation in and opportunities for recreation / leisure activities Physical environment (pollution / noise / traffic / climate) ✓ Transport ✓ { { { { Computational Models Self-management & Behaviour Change Facilitation World Health Organization | www.who.int “The World Health Organization Quality of Life Assessment (WHOQOL): development and general psychometric properties.,” Soc. Sci. Med., vol. 46, no. 12, pp. 1569–85, Jun. 1998. TechROs PROs
  9. 9. The Momentary Co-calibration (ML-based) Gustarini, M., Scipioni, M., Fanourakis, M., Wac, K. (2016). Differences in Smartphone Usage: Validating, Evaluating, and Predicting Mobile User Intimacy, Pervasive and Mobile Computing (PMC), Elsevier. Ciman, M., Wac, K., (2018). Individuals’ Stress Assessment Through Human-Smartphone Interaction Analysis, IEEE Transactions on Affective Computing (IEEE TAC), 9(1): 51-65. Ciman, M., Wac, K. (2019). Smartphones as Sleep Duration Sensors: Validation of the iSenseSleep Algorithm, JMIR mhealth and uhealth, Vol 7, No 5. TechROs ON/OFF
  10. 10. coQoL Approach
  11. 11. CoQoL
  12. 12. 2018 S169 69yo, female, HU disease (HTN) mid-2018 winter 2018/2019 mid-2019 steps: 8035 active: 300 min sleep: 7h06m steps: 6760 active: 273 min sleep: 8h08m steps: 8172 active: 294 min sleep: 7h03m Nutrition: 7 PSQI: 15 MSPSS: 5 GADS: 68 EQ5D-health: 80 Nutrition: 5 PSQI: 15 MSPSS: 5 GADS: 51 EQ5D-health: 75 Nutrition: 7 PSQI: 14 MSPSS: 5 GADS: 47 EQ5D-health: 80 Manea, V., Wac, K. (2020). Co-calibrating Physical and Psychological Outcomes and Consumer Wearable Activity Outcomes in Older Adults: An Evaluation of the Co-QoL Method. Journal of Personalized Medicine, MDPI (under revision)
  13. 13. Step 1 Step 2 Step 3 Step 4 Step 5 CoQoL Manea, V., Wac, K. (2020). Co-calibrating Physical and Psychological Outcomes and Consumer Wearable Activity Outcomes in Older Adults: An Evaluation of the Co-QoL Method. Journal of Personalized Medicine, MDPI (under revision)
  14. 14. coQoL: Social Support (MSPSS)
  15. 15. Manea, V., Wac, K. (2020). Co-calibrating Physical and Psychological Outcomes and Consumer Wearable Activity Outcomes in Older Adults: An Evaluation of the Co-QoL Method. Journal of Personalized Medicine, MDPI (under revision) N=39, 18 healthy, 26F, 70±7yo MSPSS: moderate vs. 2 years of TechRO data
  16. 16. Manea, V., Wac, K. (2020). Co-calibrating Physical and Psychological Outcomes and Consumer Wearable Activity Outcomes in Older Adults: An Evaluation of the Co-QoL Method. Journal of Personalized Medicine, MDPI (under revision) Spearman correlations rs > 0.5 healthy participants family and friends diseased participants significant other N=39, 18 healthy, 26F, 70±7yo MSPSS: moderate vs. 2 years of TechRO data
  17. 17. coQoL: Negative Feelings, Anxiety (GADS)
  18. 18. Manea, V., Wac, K. (2020). Co-calibrating Physical and Psychological Outcomes and Consumer Wearable Activity Outcomes in Older Adults: An Evaluation of the Co-QoL Method. Journal of Personalized Medicine, MDPI (under revision) N=39, 18 healthy, 26F, 70±7yo GADS: possible/mild vs. 2 years of TechRO data
  19. 19. Manea, V., Wac, K. (2020). Co-calibrating Physical and Psychological Outcomes and Consumer Wearable Activity Outcomes in Older Adults: An Evaluation of the Co-QoL Method. Journal of Personalized Medicine, MDPI (under revision) Spearman correlations rs > 0.5 healthy participants lost interest in things diseased participants worrying a lot N=39, 18 healthy, 26F, 70±7yo GADS: possible/mild vs. 2 years of TechRO data
  20. 20. Human Factors: What about the Individual?
  21. 21. Human Factors Study details N = 200 participants (US) Affinity clustering of significant factors Q: Do you use technologies (smartphone/wearable) for your own health/care? Wac, K., Rivas, H., & Fiordelli, M. (2016). Use and misuse of mobile health information technologies for health self-management. Annals of Behavioral Medicine, 50 (Supplement 1). Wac, K. et al., (2019). “I Try Harder”: The Design Implications for Mobile Apps and Wearables Contributing to Self-Efficacy of Patients with Chronic Conditions, Frontiers in Psychology, SI: Improving Wellbeing in Patients with Chronic Conditions.
  22. 22. coQoL Can it Work? Maybe.
  23. 23. Quality of Life Technologies Lab qualityoflifetechnologies.org ...welcoming collaborations Prof. Katarzyna Wac and the QoL Team Quality of Life, Center for Informatics, University of Geneva, Switzerland Human-Centered Computing, University of Copenhagen, Denmark katarzyna.wac@unige.ch 2021

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