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. 2018 May 2;2(1):e10057. doi: 10.2196/10057

Table 2.

Mobile health apps or systems that tested only usability on patients with heart failure.

Author Study type Interventions included Outcomes measured Results
Alnosayan [31] Usability study (n=8) HFa, postdata collection at 6 months Included symptom assessment, weight and blood pressure tracking, nurses followed patient report and supported patient MLHFQb, SUSc, readmission User satisfaction was ranked at 73%.
Bartlett [33] Usability assessed (n=7) Symptom assessment, weight, and blood pressure, activity level, performance report, HF education. Patients were given a research phone, which they did not like to carry; wanted an app in their own phone PSMd, SUS Showed evidence of encouraging self-care, knowledge, and physical activity. Blood pressure was measured on 84% of the days, weight on 88%, walking for 51% of the days.
Evans [43] Pilot usability study (n=41) among patients with HF and without HF using tablet Weight and blood pressure, survey using tablet, track physical activity with a watch SPMSQe, SUS, TEQf Overall adherence for blood pressure 75%, weight 82%, watch monitor 77%. Usability rating was 80%. Adherence was reported 71% to 82%.
Portz [36] Usability study (n=30), acceptability of the new HF symptom tracker app Track daily weight and symptom assessment and give feedback as graph Usability survey only Usability established, mean score 3.5 (usability score ranged from 1.7 to 4.7). Older age was significantly associated with a self-identified need for help in the use of the HF app (r=.462, P=.01).
Triantafylidis [38] Observation study (n=26), SUPPORT-HFg (Seamless User-Centered Proactive Provision of Risk-Stratified Treatment for Heart Failure) Used tablet computers and commercially available sensing devices (blood pressure monitor, set of weighing scales, and pulse oximeter), symptom-specific questionnaires, review their personal readings, view educational material Readmission, observation for usability Established usability; 23 patients (88%) used the system at least once and 16 patients (62%) used at least 3 times.
Zan [39] Pilot feasibility study (n=21), follow-up 3 months Web- and mobile-based intervention to monitor weight, blood pressure, heart rate, and symptoms MLHFQ, SUS, satisfaction Demonstrated feasibility; device under development based on feedback.
Zhang [40] Pilot evaluation (n=34), 22 HF and 12 non-HF patients as controls and 30-day follow-up Weight, blood pressure, physical activity, and HF symptom assessment. Offered feedback via text messages or emails from doctors. HFRSh, HFSASi, NT-proBNPj SVMk-based mobile system that developed algorithm for HF risk prediction and determined prediction accuracy of 79.4%. No efficacy testing was done. The study is of poor quality.

aHF: heart failure.

bMLHFQ: Minnesota Living With Heart Failure Questionnaire.

cSUS: System Usability Scale.

dPSM: Personalized Self-Management System Score.

eSPMSQ: Short Portable Mental Status Questionnaire.

fTEQ: Technology Experience Questionnaire.

gSUPPORT-HF: Seamless User-Centered Proactive Provision of Risk-Stratified Treatment for Heart Failure.

hHFRS: Heart Failure Risk Score.

iHFSAS: Heart Failure Somatic Awareness Scale.

jNT-proBNP: N-terminal probrain natriuretic peptide.

kSVM: structured support vector machine.