Using Personal Activity Intelligence With Patients in a Clinic Setting: A Feasibility Study.

Area of Science:

• Cardiology
• Exercise Physiology
• Digital Health

Background:

• Personal Activity Intelligence (PAI) is a novel metric for assessing cardiorespiratory fitness using heart-rate data.
• PAI quantifies physical activity levels, offering a personalized approach to health monitoring.

Purpose of the Study:

• To evaluate the feasibility, acceptability, and effectiveness of implementing PAI in a clinical setting.
• To assess PAI's impact on patient physical activity and cardiorespiratory fitness.

Main Methods:

• A 12-week study involving 25 patients in two clinics, utilizing heart-rate monitoring and the PAI Health app.
• Pre-post design with assessments including the Physical Activity Vital Sign and International Physical Activity Questionnaire.
• Feasibility, acceptability, and PAI scores were measured to determine study outcomes.

Main Results:

• 88% of patients completed the study, with significant improvements in physical activity (IPAQ MET-minutes/week) and reduced sitting time.
• Patients achieved an average PAI score of 116 ± 81.1, with 71% reaching ≥100 PAI points on most days.
• While not statistically significant, the Physical Activity Vital Sign showed a trend towards increased activity minutes.

Conclusions:

• Personal Activity Intelligence (PAI) is a feasible and acceptable intervention for patients within a clinical environment.
• PAI demonstrates effectiveness in improving key physical activity metrics and is well-received by patients.