The Investigators aim to assess a digitally enabled cardiac rehabilitation (DeCR) program, called Heart Health at Home, implemented in a real-world setting. The investigators will assess whether the program improves clinical outcomes, healthcare utilization, and program engagement for adults recovering from a cardiac event or procedure. The researchers hypothesize that the intervention would be associated with healthy lifestyle changes and improvements in clinical risk factors. They anticipate that Heart Health at Home would be associated with similar outcomes compared to traditional face-to-face cardiac rehabilitation and reduced hospital readmissions, hospital bed days and mortality compared to usual care.
Methods:
Investigators will evaluate this study via a prospective cohort study, to establish the associated benefits of the program on healthy lifestyle changes and improvements in clinical risk factors, followed by a propensity matched cohort study via analysis of private hospital claims data. Using propensity score matching methods, two concurrent control groups will be established to compare the DeCR group with patients who undertook either: 1) Face-to-Face cardiac rehabilitation (F2F-CR) or 2) usual care, following an index cardiac hospitalization. The investigators will assess the associated outcomes of DeCR participation on recurrent hospitalisations, days spent in hospital, mortality and cost outlays within 12 months post index admission. Additionally, the investigators will examine participants' and cardiac nurses' experiences and perceptions of the DeCR program.
Patients aged over 18 years, who hold private health insurance with a large Australian private health insurer and who have been hospitalized with a cardiovascular diagnosis and/or procedure eligible for cardiac rehabilitation will be recruited. Patients will be excluded if they; 1) have heart failure (due to the potential for more specialized care); 2) are attending an alternate cardiac rehabilitation program and; 3) do not have access to a smart phone and internet connection.
Baseline pre vs post measures will include:
1. Self-reported demographic information (assessed prior to the intervention) - age, sex, ethnicity, employment, living situation, location and geographic based socioeconomic status.
2. Self reported risk factors - blood pressure using an automated device, height and weight, cigarette smoking, diet via a 9-item questionnaire developed by the investigators based on dietary guidelines, alcohol (total standard drinks per week) and physical activity (total minutes per week).
3. Self reported health and lifestyle behaviours - medication adherence via the 4-item Morisky Medication Adherence Scale (MMAS); functional capacity via the 12-item Duke Activity Status Index (DASI); psychological distress via the Kessler Psychological Distress Scale (K10); health status via the EuroQol 5-level questionnaire (EQ-5D-5L) (index value-Australia) and patient engagement in managing their health via the 13-item Patient Activation Measure (PAM).
4. App engagement tasks via the mobile app - daily blood pressure, using an automated device, stress levels, twice daily walking, weekly weight measurements and personalised education topics. Blood glucose concentration and alcohol intake will only be assessed if assigned to patients as a goal.
Hospital admission data will be collected for all patient groups, for 12-months post discharge and include:
date of admission and discharge, index procedure information, sociodemographic data, cardiovascular disease condition, smoking history, past history of diabetes, chronic kidney disease and previous acute myocardial infarction, Charlson Comorbidity Index and risk of readmission via the PEGASUS-TIMI score - 'Prevention with Ticagrelor of Secondary Thrombotic events in high-risk Patients with Prior Acute Coronary Syndrome - Thrombolysis in Myocardial Infarction'.
