2021
DOI: 10.2196/19465
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Habits Heart App for Patient Engagement in Heart Failure Management: Pilot Feasibility Randomized Trial

Abstract: Background Due to the complexity and chronicity of heart failure, engaging yet simple patient self-management tools are needed. Objective This study aimed to assess the feasibility and patient engagement with a smartphone app designed for heart failure. Methods Patients with heart failure were randomized to intervention (smartphone with the Habits Heart App installed and Bluetooth-linked scale) or control (p… Show more

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Cited by 28 publications
(55 citation statements)
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References 15 publications
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“…In our study, among the 32 participants who installed the SCDG app, 27 (80%) wore the trackers for more than 70% of the days and used the weighing scale for more than 80% of the days at the end of 12 weeks. In addition, the IG participants in our study experienced an increase in HF functional status and similar increases in knowledge in comparison with the IG participants in another recent study with an mHealth app intervention for HF that also employed a Bluetooth weighing scale [ 72 ]. Although our study’s results with the SCDG app compare favorably with those of similar studies that have examined mHealth apps and sensor devices with patients with HF, given the small sample size in our feasibility trial, the results and findings from our trends analysis should be treated with caution.…”
Section: Discussionsupporting
confidence: 64%
“…In our study, among the 32 participants who installed the SCDG app, 27 (80%) wore the trackers for more than 70% of the days and used the weighing scale for more than 80% of the days at the end of 12 weeks. In addition, the IG participants in our study experienced an increase in HF functional status and similar increases in knowledge in comparison with the IG participants in another recent study with an mHealth app intervention for HF that also employed a Bluetooth weighing scale [ 72 ]. Although our study’s results with the SCDG app compare favorably with those of similar studies that have examined mHealth apps and sensor devices with patients with HF, given the small sample size in our feasibility trial, the results and findings from our trends analysis should be treated with caution.…”
Section: Discussionsupporting
confidence: 64%
“…Of the 28 studies, there were 18 (64%) experimental studies [ 38 - 55 ], (n=10, 56% RCTs [ 38 - 47 ] and n=8, 44% quasi-experimental [ 48 - 55 ]; n=7, 39% with a qualitative component [ 38 , 44 , 46 , 49 , 51 , 52 , 54 ]; Table 1 ), 9 (32%) qualitative-only studies, 5 (18%) that included interviews [ 56 - 60 ], and 4 (14%) that involved a survey with open-ended questions ( Table 2 ) [ 57 - 64 ]. Most studies were conducted in the United States (15/28, 54%) [ 39 , 40 , 44 , 45 , 48 , 50 , 52 , 54 , 56 , 58 , 60 - 64 ] and Canada (4/28, 14%) [ 47 , 51 , 55 , 59 ], and most were single-center, except for a few (5/28, 18%) [ 38 , 42 , 43 , 55 , 62 ]. There were 1397 participants (n=8-232 in experimental studies and 5-37 in qualitative studies), mean age was 63.4 years, 30% were women, 68% were White (from 15/28, 54% studies that reported on ethnicity), and the average education level was high ( Multimedia Appendix 4 [ 38 - 65 ]).…”
Section: Resultsmentioning
confidence: 99%
“…Across the 23 apps, the app was provided via a smartphone in 17 (74%) [ 38 - 54 , 57 , 59 , 63 , 64 ] and via a tablet in 6 (26%) interventions [ 42 , 55 , 58 , 60 - 62 ]. In addition to the app, 35% (8/23) of interventions included telemonitoring (ie, remote monitoring), with transfer of data to health care providers [ 41 , 42 , 46 , 47 , 49 - 51 , 54 ], and 65% (15/23) were solely focused on self-management support [ 38 - 40 , 43 - 45 , 48 , 52 , 53 , 55 , 57 , 58 , 60 - 62 ]. Approximately 9% (2/23) of apps provided patient access to electronic medical records [ 42 , 49 ], and 22% (5/23) of apps allowed direct clinician communication [ 39 , 40 , 42 , 49 , 53 ].…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Mobile or mHealth-based apps may represent an accessible and cost-effective method for the delivery of lifestyle modification interventions post-TIA and stroke [ 13 ], particularly during the COVID-19 pandemic when social distancing is mandated [ 14 ]. These interventions can incorporate goal setting and pacing techniques [ 15 ], incentive and reward systems [ 16 , 17 , 18 ], and use of self-entered or automated data entry [ 19 , 20 ]. Adaptive elements such as tailored reminders or prompts [ 21 ], motivational messages [ 22 ] and responsive content [ 23 ] have also been explored.…”
Section: Introductionmentioning
confidence: 99%