Table 1 Datasets – purpose and references
Datasets | Purpose | Reference |
|---|---|---|
Population profile | ||
 - Australian Demographics Statistics 2014 | To obtain data representating the Australian population by sex and age as calculated on 30 June 2014 | ABS [10] |
Incident cases | ||
 - Incidence and aetiology of heart failure; a population-based study | To determine the population incidence of heart failure data by sex and age groups | Cowie et al. [15] |
 - Quantifying the heart failure epidemic: prevalence, incidence rate, lifetime risk and prognosis of heart failure: The Rotterdam Study | Bleumink et al. [16] | |
Prevalent cases | ||
 - Congestive heart failure in the community a study of all incident cases in Olmsted County, Minnesota in 1991 | To determine the population prevalence of heart failure data by sex and age groups | Senni et al. [17] |
 - Prevalence of heart failure and systolic ventricular dysfunction in older Australians: the Canberra Heart Study | Abhayaratna et al. [8] | |
 - Quantifying the heart failure epidemic: prevalence, incidence rate, lifetime risk and prognosis of HF: The Rotterdam Study | Bleumink et al. [16] | |
Hospital activity | ||
 - Heart Failure Incidence, Case Fatality, and Hospitalisation Rates in Western Australia Between 1990 and 2005 | To evaluate the hospital burden of heart failure | Teng et al. [9] |
Cost and burden of HF | ||
 - Pressure points in primary care: blood pressure and management of hypertension in 532,050 patients from 2005 to 2010 | To investigate the primary care burden of heart failure | Carrington et al. [4] |
 - Impact of Home Versus Clinic-Based Management of Chronic Heart failure The WHICH? Multicenter, Randomized Trial | To calculate the financial burden of heart failure | Stewart et al. [18] |
Future projection | ||
 - Population Projections, Australia, 2012 (base) to 2101 | To calculate the projection data to 2030 | ABS [11] |