1,007
views
0
recommends
+1 Recommend
1 collections
    8
    shares
       
      • Record: found
      • Abstract: found
      • Conference Proceedings: found
      Is Open Access

      Have You Met Your METs? – Enhancing Patient Motivation to Achieve Physical Activity Targets in Cardiac Tele-rehabilitation

      proceedings-article

      1 , 2 , 3 , 4 , 1

      Proceedings of the 32nd International BCS Human Computer Interaction Conference (HCI)

      Human Computer Interaction Conference

      4 - 6 July 2018

      Patient-centred computing, Self-management, Patient Motivation, Secondary Prevention, Tele-rehabilitation, Intelligibility, Self-awareness

      Bookmark

            Abstract

            Physical exercise is a primary component of cardiac rehabilitation. Interpreting exercise targets and being aware of the expected effort while rehabilitating independently at home is challenging for patients. Our work aims to assist cardiac patients in understanding their condition better and motivating them to achieve their exercise targets in a tele-rehabilitation setting. We introduce a patient-centric intelligible visualization approach to present prescribed rehabilitation targets to patients based on Metabolic Equivalent of Tasks (METs). We assessed efficacy of intelligible visualizations on patients’ comprehension in a lab study. We evaluated the impact on patient motivation and health outcomes in field studies. Patients were able to manage their prescribed activities, monitor their progress, and gained understanding on how their physical activities contribute to their rehabilitation targets. Patients confirmed that the intelligible visualizations motivated them to achieve their targets better. We observed an improvement in overall physical activity levels and health outcomes of patients.

            Content

            Author and article information

            Contributors
            Conference
            July 2018
            July 2018
            : 1-12
            Affiliations
            [1 ] Hasselt University-tUL-Expertise Center for Digital Media

            Diepenbeek, Belgium
            [2 ] Hasselt University-tUL- Flanders Make

            Expertise Center for Digital Media

            Diepenbeek, Belgium
            [3 ] Hasselt University- REVAL-BIOMED

            Heart Center, Hasselt, Belgium
            [4 ] Hasselt University- Faculty of Medicine and Life Sciences; Department of Cardiology, Jessa Hospital, Hasselt, Belgium
            Article
            10.14236/ewic/HCI2018.48
            d33414d8-8960-475c-959e-7c2603429e3d
            © Sankaran et al. Published by BCS Learning and Development Ltd. Proceedings of British HCI 2018. Belfast, UK.

            This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

            Proceedings of the 32nd International BCS Human Computer Interaction Conference
            HCI
            32
            Belfast, UK
            4 - 6 July 2018
            Electronic Workshops in Computing (eWiC)
            Human Computer Interaction Conference
            Product
            Product Information: 1477-9358BCS Learning & Development
            Self URI (journal page): https://ewic.bcs.org/
            Categories
            Electronic Workshops in Computing

            REFERENCES

            1. 2000 Compendium of Physical Activities: an update of activity codes and MET intensities

            2. 2013 Combining wearable accelerometer and physiological data for activity and energy expenditure estimation in: Proceedings of the 4th Conference on Wireless Health - WH ‟13 ACM Press, New York, New York, USA 1 8 http://doi.org/10.1145/2534088.2534106

            3. 2001 Intelligibility and Accountability: Human Considerations in Context-Aware Systems Human-Computer Interact 16 193 212 http://doi.org/10.1207/S15327051HCI16234_05

            4. 2001 Why Don‟t Patients Do Their Exercises? Understanding Non-Compliance with Physiotherapy in Patients with Osteoarthritis of the Knee J. Epidemiol. Community Heal 55 132 138

            5. 2012 Objective vs. Self-Reported Physical Activity and Sedentary Time: Effects of Measurement Method on Relationships with Risk Biomarkers PLoS One 7 e36345

            6. Clinical Exercise Physiology 2013

            7. 2012 Making sense of personal health information?: Challenges for information visualization http://doi.org/10.1177/1460458212465213

            8. 2013 Increasing the medium-term clinical benefits of hospital-based cardiac rehabilitation by physical activity telemonitoring in coronary artery disease patients Eur. J. Prev. Cardiol. http://doi.org/10.1177/2047487313514018

            9. 2013 Ensembles of multiple sensors for human energy expenditure estimation in: Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing - UbiComp ‟13 ACM Press, New York, New York, USA 359 http://doi.org/10.1145/2493432.2493517

            10. 2017 The European Association of Preventive Cardiology Exercise Prescription in Everyday Practice and Rehabilitative Training (EXPERT) tool: A digital training and decision support system for optimized exercise prescription in cardiovascular disease Concept . Eur. J. Prev. Cardiol. 24 1017 1031 http://doi.org/10.1177/2047487317702042

            11. 2010 Long-term effect of rehabilitation in coronary artery disease patients: randomized clinical trial of the impact of exercise volume Clin Rehabil 24 319 327 http://doi.org/10.1177/0269215509353262

            12. 2015 Activity tracking, in: Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing - UbiComp ‟15 ACM Press, New York, New York, USA 617 621 http://doi.org/10.1145/2750858.2805832

            13. 1990 Metabolic equivalents (METS) in exercise testing, exercise prescription, and evaluation of functional capacity Clin. Cardiol. 13 555 565 http://doi.org/10.1002/clc.4960130809

            14. 2008 Reliability and validity of the international physical activity questionnaire in the Nord-Trøndelag health study ( HUNT ) population of men 9 1 9 http://doi.org/10.1186/1471-2288-8-63

            15. 2013 Evaluating Intelligibility Usage and Usefulness in a Context-Aware Application Springer Berlin Heidelberg 92 101 http://doi.org/10.1007/978-3-642-39342-6_11

            16. L., 2016 "It just seems outside my health" in: Proceedings of the 2016 ACM Conference on Designing Interactive Systems - DIS ‟16 ACM Press, New York, New York, USA 1172 1184 http://doi.org/10.1145/2901790.2901866

            17. 2012 Cardiac rehabilitation past, present and future: an overview Cardiovasc. Diagn. Ther. 2 38 49 http://doi.org/10.3978/j.issn.2223-3652.2012.01.02

            18. 2012 Sharing medical data vs. health knowledge in chronic illness care in: Proceedings of the 2012 ACM Annual Conference Extended Abstracts on Human Factors in Computing Systems Extended Abstracts - CHI EA ‟12 ACM Press, New York, New York, USA 2417 http://doi.org/10.1145/2212776.2223812

            19. 2012 Clinical Research in Cardiac Rehabilitation and Secondary Prevention: Looking Back and Moving Forward 31 333 341 http://doi.org/10.1097/HCR.0b013e31822f0f79.Clinical

            20. 2008 A comparison of direct versus self-report measures for assessing physical activity in adults?: a systematic review 24 http://doi.org/10.1186/1479-5868-5-56

            21. 2016 The prognostic effect of cardiac rehabilitation in the era of acute revascularisation and statin therapy: A systematic review and meta-analysis of randomized and non-randomized studies – The Cardiac Rehabilitation Outcome Study (CROS) Eur. J. Prev. Cardiol. 23 1914 1939 http://doi.org/10.1177/2047487316671181

            22. 2016 A Grounded Approach for Applying Behavior Change Techniques in Mobile Cardiac Tele-Rehabilitation in: Proceedings of the 9th ACM International Conference on PErvasive Technologies Related to Assistive Environments - PETRA ‟16 ACM Press, New York, New York, USA 1 8 http://doi.org/10.1145/2910674.2910680

            23. 2001 Assessment of Free-Living Physical Activity in Humans?: An Overview of Currently Available and Proposed New Measures 9

            24. 2015 Beyond Self-Tracking and Reminders?: Designing Smartphone Apps That Support Habit Formation CHI ‟15 Proc. 33rd Annu. ACM Conf. Hum. Factors Comput. Syst. 2653 2662 http://doi.org/10.1145/2702123.2702230

            25. Medicine., A.C. of S., Medicine., A.C. of S. 2014 ACSM‟s resource manual for Guidelines for exercise testing and prescription Wolters Kluwer Health/Lippincott Williams & Wilkins Philadelphia

            26. 2015 Cardiac rehabilitation referral and completion: results from the South Australian minimum dataset for cardiac rehabilitation programs Hear. Lung Circ. 24 S451 S452 http://doi.org/10.1016/j.hlc.2015.06.786

            27. 2005 Guidelines for Data Processing and Analysis of the International Physical Activity Questionnaire ( IPAQ ) – Short and Long Forms 1 15

            28. 2012 Importance of characteristics and modalities of physical activity and exercise in the management of cardiovascular health in individuals with cardiovascular risk factors: recommendations from the EACPR (Part II) Eur. J. Prev. Cardiol. 19 1005 1033 http://doi.org/10.1177/1741826711430926

            29. 2010 A mobile phone-based care model for outpatient cardiac rehabilitation?: the care assessment platform ( CAP )

            Comments

            Comment on this article