
Analysing the Effects of Healthcare Payment Policies on Poverty: A Microsimulation Study with Real-World Healthcare Data
Tables
Payments (user charges and co-payments) for healthcare goods and services financed at least partly from public funds in Finland in 2019, with policy changes and adjustments between 2011 and 2019.
Healthcare good or service | Payment type | Payment in 2019 | Legislative changes† | Index / tariff adjust | |
---|---|---|---|---|---|
Public health care services (Act on social and health care client fees & Government Decree) | |||||
Public outpatient services | Outpatient doctor | Fixed fee | €20.60 max 3 times or €41.20 / year* | 2015(+), 2016(+) | Biennial |
Night/weekend visit | Fixed fee | €28.30 / visit* | 2015(+), 2016(+) | Biennial | |
Physiotherapy | Fixed fee | €11.40 / visit | 2015(+), 2016(+) | Biennial | |
Serial treatments | Fixed fee | €11.40 / visit max 45 times/year | 2015(+), 2016(+) | Biennial | |
Outpatient specialist | Fixed fee | €41.20 / visit* | 2015(+), 2016(+) | Biennial | |
Ambulatory surgery | Fixed fee | €135.10 / visit* | 2015(+), 2016(+) | Biennial | |
Public inpatient services (excl. long-term) | Short term inpatient care (max 7 days) | Fixed fee | €48.90 or €22.50 /day* | 2015(+), 2016(+) | Biennial |
Day patient | Fixed fee | €22.50* | 2015(+), 2016(+) | Biennial | |
Inpatient rehabilitation | Fixed fee | €16.90* | 2015(+), 2016(+) | Biennial | |
Outpatient & inpatient services (excl. dental) | Annual ceiling | €683 / year / person incl. children | Biennial | ||
Public dental services | Oral hygienist/ dentist/specialist | Fixed fee | €10.20/€13.10/€18.90* | 2016(+) | Biennial |
Procedures, imaging, prosthetics | Based on tariff | €8.40–€222.70* | 2016(+) | Biennial | |
Material costs | Realised costs | ||||
National Health Insurance reimbursement policies (Health Insurance Act & Government Decrees) | |||||
Prescription medicines | Annual deductible | Deductible | Max €50 / year* | 2016 (+) | |
Basic reimbursement | %-based | 60% of retail price | 2013(+), 2016(-) | ||
Disease-based special reimbursement (lower) | %-based | 35% or retail price | 2013(+) | ||
Disease-based special reimbursement (higher) | Fixed fee | max €4.50 / item / max 3 months' supply | 2016(+), 2017(+) | ||
Reimbursable medicines | Annual ceiling | €572 / year / person | 2013(-), 2014(-), 2019(-) | Annual | |
Charge after exceeding annual ceiling | Fixed fee | max €2.50 / item / max 3 months' supply | 2016(+) | ||
Travel costs | Co-payment/trip | Fixed fee | max €25 or €50/one-way trip | 2013(+), 2015(+), 2016(+), 2018(+) | |
Travel costs | Annual ceiling | €300 / year / person | 2013(+), 2015(+), 2016(+) | ||
Private health care services | Doctor fees | Cap | Costs exceeding tariff | 2013(0), 2016(+) | 2013, 2014, 2015 |
Examination and treatment | Cap | Costs exceeding tariff | 2013(+), 2015(+), 2016(+) | 2011, 2013, 2014, 2015 | |
Private dental services | Examination | Cap | Costs exceeding tariff | 2013(0), 2015(+), 2016(+) | 2013, 2014, 2015 |
Dentist fees | Cap | Costs exceeding tariff | 2013(0), 2015(+) 2016(+) | 2013, 2014, 2015 | |
Treatment | Cap | Costs exceeding tariff | 2013(0), 2015(+) 2016(+) | 2013, 2014, 2015 |
-
*
Children under 18 years exempt (for medicines, exemption until the end of the year when the child turns 18).
-
†
Main effect of the change on patient’s share of costs: increase (+), decrease (-), neutral (0).
Prevalence of healthcare use (% of individuals in the 2017 data), annual mean health payments (€ per user, estimated based on utilisation data), by healthcare type, and prevalence of health payments (% of individuals in the 2017 data) by income quintile.
Users | Mean payment/ year/user | Individuals with health payments | |||
---|---|---|---|---|---|
Total | Lowest income quintile | Highest income quintile | |||
Public health care | 62% | €143 | 47% | 51% | 40% |
Private health care | 34% | €287 | 34% | 20% | 50% |
Public dental care | 35% | €81 | 22% | 21% | 19% |
Private dental care | 18% | €300 | 18% | 8% | 32% |
Prescription medicines | 68% | €173 | 68% | 63% | 72% |
Travel costs | 10% | €99 | 10% | 15% | 6% |
Simulated scenarios using the SISU model with and without the health payment (HP) module and varying price indices (consumer price index, CPI, or item-specific price indices, IPI).
Scenario | Tax-benefit policies (SISU) | Social assistance (SISU w/o HP-module) | Health payments (HP- module) | HP price index (HP- module) |
---|---|---|---|---|
#1 | Yes | without HP (SISU only) | No | N/A |
#2 | Yes | without HP (SISU only) | Yes | CPI |
#3 | Yes | without HP (SISU only) | Yes | IPI |
#4 | Yes | with HP (SISU & HP module) | Yes | CPI |
#5 | Yes | with HP (SISU & HP module) | Yes | IPI |
Simulated annual health payment expenditure (Million €, in real terms) in 2011–2019, and change between 2011–2015 and 2015–2019, by healthcare type.
2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | Change 2011-2015 | Change 2015-2019 | ||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Public | Healthcare | 373 | 364 | 359 | 378 | 409 | 490 | 487 | 477 | 472 | 10 % | 16 % |
Dental | 127 | 124 | 122 | 128 | 129 | 158 | 157 | 153 | 152 | 2 % | 18 % | |
Private healthcare | IPI | 455 | 455 | 469 | 475 | 482 | 525 | 539 | 547 | 550 | 6 % | 14 % |
CPI | 485 | 492 | 502 | 503 | 503 | 540 | 539 | 540 | 536 | 4 % | 7 % | |
Private dental | IPI | 235 | 235 | 236 | 241 | 265 | 292 | 298 | 301 | 304 | 13 % | 14 % |
CPI | 254 | 256 | 255 | 256 | 277 | 300 | 298 | 298 | 299 | 9 % | 8 % | |
Medicines | IPI | 559 | 534 | 579 | 576 | 583 | 650 | 651 | 618 | 588 | 4 % | 1 % |
CPI | 518 | 518 | 570 | 570 | 571 | 630 | 651 | 649 | 639 | 10 % | 12 % | |
Travel costs | IPI | 27 | 27 | 40 | 39 | 44 | 57 | 57 | 55 | 54 | 59 % | 24 % |
CPI | 27 | 26 | 39 | 38 | 43 | 57 | 57 | 54 | 54 | 64 % | 24 % | |
Total | IPI | 1,777 | 1,739 | 1,804 | 1,836 | 1,911 | 2,172 | 2,188 | 2,151 | 2,121 | 8 % | 11 % |
CPI | 1,783 | 1,780 | 1,847 | 1,874 | 1,931 | 2,175 | 2,188 | 2,172 | 2,152 | 8 % | 11 % |
-
Simulations were conducted using 2017 data.
-
*
For medicines, private services, and travel costs, the results were simulated using alternative price adjustments: consumer price index (CPI) and item-specific price indices (IPI).
Poverty risk rates and gaps in 2011–2019 simulated with tax-benefit and health payment legislations, and decomposition of the effects of health payments on social assistance.
2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2011-2015* | 2015-2019* | ||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Poverty risk rate (60% of the population median) | ||||||||||||
All | Rate after tax-benefit legislation, % | 15.3 | 14.2 | 13.8 | 13.7 | 12.8 | 12.9 | 13.5 | 13.6 | 13.7 | -2.5 | 0.9 |
Rate after tax-benefit legislation & health payments, % | 15.5 | 14.4 | 13.9 | 13.9 | 13.0 | 13.2 | 13.8 | 13.9 | 14.0 | -2.6 | 1.0 | |
Total effect of health payments & prices incl. SA, ppts | 0.2 | 0.2 | 0.1 | 0.2 | 0.2 | 0.3 | 0.3 | 0.3 | 0.3 | 0.0 | 0.1 | |
Effect of health payment policies & prices (IPI), ppts | 0.4 | 0.4 | 0.4 | 0.4 | 0.5 | 0.6 | 0.6 | 0.5 | 0.5 | 0.0 | 0.1 | |
Effect of social assistance (SA), ppts | -0.2 | -0.2 | -0.3 | -0.3 | -0.2 | -0.2 | -0.2 | -0.2 | -0.2 | 0.0 | 0.0 | |
≥65 years | Rate after tax-benefit legislation, % | 13.3 | 12.6 | 12.1 | 12.1 | 11.5 | 11.8 | 12.5 | 12.5 | 12.8 | -1.8 | 1.3 |
Rate after tax-benefit legislation & health payments, % | 15.2 | 14.4 | 13.9 | 13.9 | 13.4 | 14.1 | 14.8 | 14.7 | 15.0 | -1.8 | 1.6 | |
Total effect of health payments & prices incl. SA, ppts | 1.9 | 1.8 | 1.8 | 1.9 | 1.9 | 2.3 | 2.3 | 2.2 | 2.2 | 0.0 | 0.3 | |
Effect of health payment policies & prices (IPI), ppts | 1.9 | 1.8 | 1.8 | 1.8 | 1.9 | 2.2 | 2.3 | 2.2 | 2.1 | 0.0 | 0.2 | |
Effect of social assistance (SA), ppts | 0.1 | 0.0 | 0.0 | 0.1 | 0.1 | 0.1 | 0.1 | 0.1 | 0.1 | 0.0 | 0.0 | |
Poverty gap (60% of the population median) | ||||||||||||
All | Gap after tax-benefit legislation, % | 15.8 | 14.9 | 14.4 | 14.6 | 14.6 | 14.7 | 15.3 | 15.3 | 15.3 | -1.2 | 0.7 |
Gap after tax-benefit legislation & health payments, % | 15.7 | 14.8 | 14.4 | 14.6 | 14.6 | 14.7 | 15.3 | 15.3 | 15.3 | -1.2 | 0.8 | |
Total effect of health payments & prices incl. SA, ppts | -0.1 | -0.1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1 | 0.1 | |
Effect of health payment policies & prices (IPI), ppts | 0.4 | 0.4 | 0.4 | 0.4 | 0.4 | 0.4 | 0.5 | 0.5 | 0.5 | 0.0 | 0.1 | |
Effect of social assistance (SA), ppts | -0.5 | -0.4 | -0.4 | -0.4 | -0.4 | -0.4 | -0.4 | -0.4 | -0.4 | 0.1 | -0.1 | |
≥65 years | Gap after tax-benefit legislation, % | 10.2 | 9.8 | 9.5 | 9.5 | 9.4 | 9.2 | 9.9 | 9.8 | 10.0 | -0.8 | 0.6 |
Gap after tax-benefit legislation & health payments, % | 11.3 | 10.9 | 10.5 | 10.6 | 10.5 | 10.7 | 11.2 | 11.1 | 11.3 | -0.8 | 0.8 | |
Total effect of health payments & prices incl. SA, ppts | 1.1 | 1.0 | 1.1 | 1.1 | 1.1 | 1.5 | 1.3 | 1.3 | 1.3 | 0.0 | 0.2 | |
Effect of health payment policies & prices (IPI), ppts | 1.1 | 1.0 | 1.0 | 1.1 | 1.0 | 1.5 | 1.3 | 1.3 | 1.3 | 0.0 | 0.2 | |
Effect of social assistance (SA), ppts | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
-
All simulations were conducted using the 2017 data. Prices for medicines, private services, and travel costs were adjusted using IPI.
-
*
Change in percentage points.
Simulated poverty risk rate in 2011–2019 after tax-benefit legislation and health payments, and the effect of health payments, by population subgroup.
2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2011-2015‡ | 2015-2019‡ | ||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Poverty risk rate (60% of population median)* | ||||||||||||
<18 yrs | Rate after tax-benefit legislation & health payments, % | 14.4 | 12.9 | 12.2 | 12.3 | 11.5 | 11.6 | 12.0 | 12.2 | 12.3 | -3.0 | 0.8 |
Total effect of health payments, ppts | -0.5 | -0.6 | -0.6 | -0.6 | -0.6 | -0.6 | -0.6 | -0.6 | -0.6 | 0.0 | 0.0 | |
18-64 yrs at work† | Rate after tax-benefit legislation & health payments, % | 4.2 | 3.8 | 3.6 | 3.6 | 3.0 | 3.0 | 3.1 | 3.2 | 3.2 | -1.2 | 0.2 |
Total effect of health payments, ppts | -0.1 | -0.1 | -0.2 | -0.2 | -0.1 | -0.1 | -0.1 | -0.1 | -0.1 | 0.0 | 0.0 | |
18-64 yrs not at work† | Rate after tax-benefit legislation & health payments, % | 40.2 | 37.9 | 36.7 | 36.6 | 34.5 | 34.7 | 36.5 | 36.5 | 36.7 | -5.7 | 2.2 |
Total effect of health payments, ppts | 0.0 | -0.1 | -0.3 | -0.3 | -0.2 | -0.1 | -0.1 | -0.1 | 0.0 | -0.1 | 0.1 | |
Poverty risk rate (50% of population median) | ||||||||||||
All | Rate after tax-benefit legislation & health payments, % | 7.4 | 6.5 | 6.1 | 6.2 | 5.8 | 5.9 | 6.4 | 6.4 | 6.5 | -1.6 | 0.7 |
Total effect of health payments, ppts | 0.1 | 0.0 | 0.0 | 0.0 | 0.1 | 0.1 | 0.2 | 0.1 | 0.1 | 0.0 | 0.0 | |
≥65 yrs | Rate after tax-benefit legislation & health payments, % | 4.8 | 4.3 | 3.9 | 4.0 | 3.8 | 4.2 | 4.7 | 4.6 | 4.7 | -1.0 | 0.9 |
Total effect of health payments, ppts | 1.1 | 1.0 | 0.9 | 1.0 | 1.0 | 1.2 | 1.4 | 1.3 | 1.3 | -0.1 | 0.3 | |
<18 yrs | Rate after tax-benefit legislation & health payments, % | 6.1 | 5.1 | 4.7 | 4.8 | 4.5 | 4.6 | 4.9 | 5.0 | 5.0 | -1.6 | 0.5 |
Total effect of health payments, ppts | -0.3 | -0.4 | -0.3 | -0.3 | -0.3 | -0.3 | -0.3 | -0.3 | -0.3 | 0.1 | 0.0 | |
18-64 yrs at work† | Rate after tax-benefit legislation & health payments, % | 1.7 | 1.4 | 1.4 | 1.4 | 1.2 | 1.2 | 1.3 | 1.3 | 1.3 | -0.5 | 0.1 |
Total effect of health payments, ppts | -0.1 | -0.1 | -0.1 | -0.1 | -0.1 | -0.1 | -0.1 | -0.1 | -0.1 | 0.0 | 0.0 | |
18-64 yrs not at work† | Rate after tax-benefit legislation & health payments, % | 23.3 | 20.7 | 19.5 | 19.8 | 18.6 | 18.8 | 20.5 | 20.6 | 20.7 | -4.6 | 2.0 |
Total effect of health payments, ppts | -0.3 | -0.3 | -0.4 | -0.3 | -0.2 | -0.2 | -0.2 | -0.2 | -0.2 | 0.1 | 0.0 |
-
All simulations were conducted using the 2017 data. Prices for medicines, private services, and travel costs were adjusted using IPI.
-
*
Poverty risk rate 60% of population median for all and ≥65-year-olds, see Table 5.
-
†
At work/not at work = with and without labour market attachment in the long term (one year).
-
‡
Change in percentage points.
Data and code availability
The data, models, and methodology used are non-proprietary. The codes for the health payment module described in this study, and numerical parameters of legislation in different years, are open source and publicly available via data repository (http://doi.org/10.5281/zenodo.5938920). The individual microdata are available for scientific research, however, the authors do not have permission to share data due to legal restrictions and data protection regulations. Permissions to access the data can be applied from the centralised data permit authority Findata (https://www.findata.fi/en/).