Table 2

Data collected using standardised questionnaires during enrolment, final screening and follow-up time points for Smartphone Monitoring for Atrial fibrillation in Real-Time—India study

Enrolment
DomainVariables 
 Sociodemographic characteristicsAge, sex, household size, education level, occupation, caste, religion, marital status
 Financial statusHousehold income, perceived income, perceived expenditures
 HealthcareHealthcare use, healthcare seeking behaviour, healthcare expenditures
 LifestyleSmoking, non-smoking tobacco, alcohol, expenditures on lifestyle activities
 Physical activityMild, moderate and high levels of activity using International Physical Activity Questionnaire
 Cardiovascular symptomsPalpitations, irregular heartbeats, skipped heartbeats, dizziness
 Medical historyValvular heart disease, coronary heart disease, obstructive lung disease, myocardial infarction, hypertension, diabetes mellitus, hypercholesterolaemia, heart failure, stroke, transient ischaemic attack, systemic embolism, anaemia, internal bleeding (intracranial, gastrointestinal or other), chronic kidney disease, congenital heart disease
Exit
 Technology accessCell phone ownership, cell phone with camera, smartphone use, internet usage, internet use to find health information
 ANAND usabilityTime-consuming, operational ease, understandability of results
Follow-up
 Quality of lifePhysical and Mental composite score using SF-12
 Need for assistanceRecreational activities, travelling, shopping, preparing or eating meals, day-to-day activities, medication management, financial management
  • ANAND, Automated Novel Atrial fibrillation Non-invasive Detection; SF-12, Short Form-12 Survey.