Skip to main content

Table 1 Main parameters of the model for estimating indirect costs of heart failure in Poland, 2012–2015

From: Indirect costs and public finance consequences of heart failure in Poland, 2012–2015

  Parameter (unit) Mean value for years 2012–2015
General economic parameters
 Gross domestic product (€) 406,258,566 346a
 Per worker gross domestic product (€) 28 745a
 Correction coefficient to adjust for decreasing marginal labour productivity 0.65
 Exchange rate (zlotys per €) 4.19
 Male and female retirement age (years) 65/60
 Economy’s yearly productivity growth for period 2016-2077b 1.9%
 Parameters for estimating indirect costs
Absenteeism of the sick Number of absence days 476 598c
Number of people receiving first-time rehabilitation benefits 213
Average duration of first-time rehabilitation benefits (months) 5.95
Number of people receiving renewed rehabilitation benefits 111
Average duration of renewed rehabilitation benefits (months) 5.33
Presenteeism of the sick Number of sick people at working age 214 047d
Employment rate of people at working age affected by HF [20] 23%
Rate of productivity reduction while working [29] 22.7%
Caregivers’ absenteeism Number of absence days due to relative’s illness 2473
Premature mortality Number of HF deaths from birth to retirement age 5504
Disability Number of people receiving disability pensionse
permanent pension 640
temporary pension 4208
Average duration of temporary disability pension in cardiovascular diseases (months) 16.9
1-year HF survival rate [21] 89.2%f
  1. Notes: a – values in Euro (€) calculated using constant average 2012–2015 exchange rate: 4.19 zlotys per €; b – the timespan covers the period of potential economic activity of the youngest person who developed HF during the period investigated; based on [30]; c – for population insured in ASIF the data for 2012 and 2013 were interpolated using data from the subsequent 3 years; d – the value estimated based on the age distribution of the American population with HF [19]; e – the values show an equivalent of people who are completely unable to work assuming that partial inability to work corresponds to 0.75 of complete inability to work. For the population insured in SII, real numbers are used; for those insured in ASIF, a part of the figures were estimated; f – the value refers to both sexes and only the hospitalized population