MedFit

Abstract

The third phase of the recovery from cardiovascular disease (CVD) is an exercise-based rehabilitation programme. However, adherence to an exercise regime is typically not maintained by the patient for a variety of reasons such as lack of time, financial constraints, etc. In order to facilitate patients to perform their exercises from the comfort of their home and at their own convenience, we have developed a mobile application, termed MedFit. It provides access to a tailored suite of exercises along with easy to understand guidance from audio and video instructions. Two types of wearable sensors are utilized to allow motivational feedback to be provided to the user for self monitoring and to provide near real-time feedback. Fitbit, a commercially available activity and fitness tracker, is used to provide in-depth feedback for self-monitoring over longer periods of time (e.g. day, week, month), whereas the Shimmer wireless sensing platform provides the data for near real-time feedback on the quality of the exercises performed. MedFit is a simple and intuitive mobile application designed to provide the motivation and tools for patients to help ensure faster recovery from the trauma caused by CVD. In this paper we describe the MedFit application as a demo submission to the 2 nd MMHealth Workshop at ACM MM 2017.

Supporting self-care with eHealth : Advancing theory-based research and development of interventions to support patients with a cardiovascular disease

“…Supporting patients who value 'social support' Expectedly, 3 peer-based support features connected with the value of 'receiving social support' (Figure 5.3). PATHway's 'multiplayer class' and 'calendar for events/exercise' features (Walsh, Moran, Cornelissen, Buys, Claes, et al, 2018) as well as MedFit's 'social interaction' feature connected directly with this value Kuklyte et al, 2017;Prabhu et al, 2018). Perhaps more surprising in this case is that the expert-based 'behavioural support (via health care provider)' feature of HOME BP connected with this value (Band et al, 2017;Band et al, 2016;Bradbury et al, 2017;Bradbury et al, 2018;Morton et al, 2018).…”

“…Each form received related to a different technology; therefore, input was received for 6 of the 10 reviewed technologies: Engage (Srinivas et al, 2017), HeartMapp (Athilingam, Clochesy, et al, 2018;Athilingam et al, 2016;Di Sano et al, 2015), HOME BP (Band et al, 2017;Band et al, 2016;Bradbury et al, 2017;Bradbury et al, 2018;Morton et al, 2018), PATHway (Triantafyllidis et al, 2018;Walsh, Moran, Cornelissen, Buys, Claes, et al, 2018), SMART-PSMS (Bartlett et al, 2014;Burns et al, 2010;Mawson et al, 2016;Mawson et al, 2014;Parker, Mawson, Mountain, Nasr, Davies, et al, 2014;, and SUPPORT-HF (Chantler et al, 2016;Rahimi et al, 2015;. For the remaining technologies, the authors either declined the invitation or did not respond after several reminders: MedFit (Duff et al, 2018;Kuklyte et al, 2017;Prabhu et al, 2018), MyHeart (Villalba et al, 2009;Villalba Mora et al, 2007;Villalba Mora et al, 2008), SMASH (Chandler et al, 2019;Davidson et al, 2015;McGillicuddy, Gregoski, et al, 2013;McGillicuddy et al, 2012;Sieverdes et al, 2013), and Mock-Up by Baek et al (Baek et al, 2018).…”

“…In contrast, other values connected with only a minority of the reviewed eHealth technologies. For instance, only 3 of 10 technologies were connected with the patient value of 'receiving social support': PATHway (Walsh, Moran, Cornelissen, Buys, Claes, et al, 2018), MedFit (Duff et al, 2018;Kuklyte et al, 2017;Prabhu et al, 2018), and HOME BP (Band et al, 2017;Band et al, 2016;Bradbury et al, 2017;Bradbury et al, 2018;Morton et al, 2018). Likewise, only 3 different technologies were connected with the patient value of 'not feeling fear, anxiousness, or insecurity about health': SMASH (Chandler et al, 2019;McGillicuddy et al, 2012), HOME BP (Band et al, 2017;Band et al, 2016;Bradbury et al, 2017;Bradbury et al, 2018;Morton et al, 2018), and SUPPORT-HF (Chantler et al, 2016;.…”

“…As an example, the 'optional lifestyle changes' educational feature of HOME BP allows patients to personally request additional content Band et al, 2016;Bradbury et al, 2017;Bradbury et al, 2018;Morton et al, 2018). Alternatively, the 'exercise' feature of MedFit automatically updates the list of guided exercise classes based on the evaluation of classes performed earlier (Duff et al, 2018;Kuklyte et al, 2017;Prabhu et al, 2018). Outstandingly, 2 overarching system personalisation features connected with this value.…”

“…• Behavioural performance support: Features that provide information, guidance, or support for the actual performance of health maintenance behaviours (e.g., the 'exercise' feature of MedFit (Duff et al, 2018;Kuklyte et al, 2017;Prabhu et al, 2018)), for instance, an animated deep breathing practice or a list of guided exercise classes; the features can include real-time feedback or self-evaluation options (e.g., rating performance or intensity).…”