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Analysing the Effects of Healthcare Payment Policies on Poverty: A Microsimulation Study with Real-World Healthcare Data

  1. Katri Aaltonen  Is a corresponding author
  2. Jussi Tervola
  3. Pekka Heino
  1. Finnish Institute for Health and Welfare, Finland
  2. Kela research, Finland
Research article
Cite this article as: K. Aaltonen, J. Tervola, P. Heino; 2023; Analysing the Effects of Healthcare Payment Policies on Poverty: A Microsimulation Study with Real-World Healthcare Data; International Journal of Microsimulation; 16(1); 89-107. doi: 10.34196/ijm.00276
6 tables

Tables

Table 1
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 servicePayment typePayment in 2019Legislative changes†Index / tariff adjust
Public health care services (Act on social and health care client fees & Government Decree)
Public outpatient servicesOutpatient doctorFixed fee€20.60 max 3 times or €41.20 / year*2015(+), 2016(+)Biennial
Night/weekend visitFixed fee€28.30 / visit*2015(+), 2016(+)Biennial
PhysiotherapyFixed fee€11.40 / visit2015(+), 2016(+)Biennial
Serial treatmentsFixed fee€11.40 / visit max 45 times/year2015(+), 2016(+)Biennial
Outpatient specialistFixed fee€41.20 / visit*2015(+), 2016(+)Biennial
Ambulatory surgeryFixed 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 patientFixed fee€22.50*2015(+), 2016(+)Biennial
Inpatient rehabilitationFixed fee€16.90*2015(+), 2016(+)Biennial
Outpatient & inpatient services (excl. dental)Annual ceiling€683 / year / person incl. childrenBiennial
Public dental servicesOral hygienist/ dentist/specialistFixed fee€10.20/€13.10/€18.90*2016(+)Biennial
Procedures, imaging, prostheticsBased on tariff€8.40–€222.70*2016(+)Biennial
Material costsRealised costs
National Health Insurance reimbursement policies (Health Insurance Act & Government Decrees)
Prescription medicinesAnnual deductibleDeductibleMax €50 / year*2016 (+)
Basic reimbursement%-based60% of retail price2013(+), 2016(-)
Disease-based special reimbursement (lower)%-based35% or retail price2013(+)
Disease-based special reimbursement (higher)Fixed feemax €4.50 / item / max 3 months' supply2016(+), 2017(+)
Reimbursable medicinesAnnual ceiling€572 / year / person2013(-), 2014(-), 2019(-)Annual
Charge after exceeding annual ceilingFixed feemax €2.50 / item / max 3 months' supply2016(+)
Travel costsCo-payment/tripFixed feemax €25 or €50/one-way trip2013(+), 2015(+), 2016(+), 2018(+)
Travel costsAnnual ceiling€300 / year / person2013(+), 2015(+), 2016(+)
Private health care servicesDoctor feesCapCosts exceeding tariff2013(0), 2016(+)2013, 2014, 2015
Examination and treatmentCapCosts exceeding tariff2013(+), 2015(+), 2016(+)2011, 2013, 2014, 2015
Private dental servicesExaminationCapCosts exceeding tariff2013(0), 2015(+), 2016(+)2013, 2014, 2015
Dentist feesCapCosts exceeding tariff2013(0), 2015(+) 2016(+)2013, 2014, 2015
TreatmentCapCosts exceeding tariff2013(0), 2015(+) 2016(+)2013, 2014, 2015
  1. *

    Children under 18 years exempt (for medicines, exemption until the end of the year when the child turns 18).

  2. Main effect of the change on patient’s share of costs: increase (+), decrease (-), neutral (0).

Table 2
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.
UsersMean payment/ year/userIndividuals with health payments
TotalLowest income quintileHighest income quintile
Public health care62%€14347%51%40%
Private health care34%€28734%20%50%
Public dental care35%€8122%21%19%
Private dental care18%€30018%8%32%
Prescription medicines68%€17368%63%72%
Travel costs10%€9910%15%6%
Table 3
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).
ScenarioTax-benefit policies (SISU)Social assistance (SISU w/o HP-module)Health payments (HP- module)HP price index (HP- module)
#1Yeswithout HP (SISU only)NoN/A
#2Yeswithout HP (SISU only)YesCPI
#3Yeswithout HP (SISU only)YesIPI
#4Yeswith HP (SISU & HP module)YesCPI
#5Yeswith HP (SISU & HP module)YesIPI
Table 4
Simulated annual health payment expenditure (Million €, in real terms) in 2011–2019, and change between 2011–2015 and 2015–2019, by healthcare type.
201120122013201420152016201720182019Change 2011-2015Change 2015-2019
Public Healthcare37336435937840949048747747210 %16 %
 Dental1271241221281291581571531522 %18 %
Private healthcare IPI4554554694754825255395475506 %14 %
 CPI4854925025035035405395405364 %7 %
Private dental IPI23523523624126529229830130413 %14 %
 CPI2542562552562773002982982999 %8 %
Medicines IPI5595345795765836506516185884 %1 %
 CPI51851857057057163065164963910 %12 %
Travel costs IPI27274039445757555459 %24 %
 CPI27263938435757545464 %24 %
Total IPI1,7771,7391,8041,8361,9112,1722,1882,1512,1218 %11 %
 CPI1,7831,7801,8471,8741,9312,1752,1882,1722,1528 %11 %
  1. Simulations were conducted using 2017 data.

  2. *

    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).

Table 5
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.
2011201220132014201520162017201820192011-2015*2015-2019*
Poverty risk rate (60% of the population median)
AllRate after tax-benefit legislation, %15.314.213.813.712.812.913.513.613.7-2.50.9
Rate after tax-benefit legislation & health payments, %15.514.413.913.913.013.213.813.914.0-2.61.0
Total effect of health payments & prices incl. SA, ppts0.20.20.10.20.20.30.30.30.30.00.1
Effect of health payment policies & prices (IPI), ppts0.40.40.40.40.50.60.60.50.50.00.1
Effect of social assistance (SA), ppts-0.2-0.2-0.3-0.3-0.2-0.2-0.2-0.2-0.20.00.0
≥65 yearsRate after tax-benefit legislation, %13.312.612.112.111.511.812.512.512.8-1.81.3
Rate after tax-benefit legislation & health payments, %15.214.413.913.913.414.114.814.715.0-1.81.6
Total effect of health payments & prices incl. SA, ppts1.91.81.81.91.92.32.32.22.20.00.3
Effect of health payment policies & prices (IPI), ppts1.91.81.81.81.92.22.32.22.10.00.2
Effect of social assistance (SA), ppts0.10.00.00.10.10.10.10.10.10.00.0
Poverty gap (60% of the population median)
AllGap after tax-benefit legislation, %15.814.914.414.614.614.715.315.315.3-1.20.7
Gap after tax-benefit legislation & health payments, %15.714.814.414.614.614.715.315.315.3-1.20.8
Total effect of health payments & prices incl. SA, ppts-0.1-0.10.00.00.00.00.00.00.00.10.1
Effect of health payment policies & prices (IPI), ppts0.40.40.40.40.40.40.50.50.50.00.1
Effect of social assistance (SA), ppts-0.5-0.4-0.4-0.4-0.4-0.4-0.4-0.4-0.40.1-0.1
≥65 yearsGap after tax-benefit legislation, %10.29.89.59.59.49.29.99.810.0-0.80.6
Gap after tax-benefit legislation & health payments, %11.310.910.510.610.510.711.211.111.3-0.80.8
Total effect of health payments & prices incl. SA, ppts1.11.01.11.11.11.51.31.31.30.00.2
Effect of health payment policies & prices (IPI), ppts1.11.01.01.11.01.51.31.31.30.00.2
Effect of social assistance (SA), ppts0.00.00.00.00.00.00.00.00.00.00.0
  1. All simulations were conducted using the 2017 data. Prices for medicines, private services, and travel costs were adjusted using IPI.

  2. *

    Change in percentage points.

Table 6
Simulated poverty risk rate in 2011–2019 after tax-benefit legislation and health payments, and the effect of health payments, by population subgroup.
2011201220132014201520162017201820192011-2015‡2015-2019‡
Poverty risk rate (60% of population median)*
<18 yrsRate after tax-benefit legislation & health payments, %14.412.912.212.311.511.612.012.212.3-3.00.8
Total effect of health payments, ppts-0.5-0.6-0.6-0.6-0.6-0.6-0.6-0.6-0.60.00.0
18-64 yrs at work†Rate after tax-benefit legislation & health payments, %4.23.83.63.63.03.03.13.23.2-1.20.2
Total effect of health payments, ppts-0.1-0.1-0.2-0.2-0.1-0.1-0.1-0.1-0.10.00.0
18-64 yrs not at work†Rate after tax-benefit legislation & health payments, %40.237.936.736.634.534.736.536.536.7-5.72.2
Total effect of health payments, ppts0.0-0.1-0.3-0.3-0.2-0.1-0.1-0.10.0-0.10.1
Poverty risk rate (50% of population median)
AllRate after tax-benefit legislation & health payments, %7.46.56.16.25.85.96.46.46.5-1.60.7
Total effect of health payments, ppts0.10.00.00.00.10.10.20.10.10.00.0
≥65 yrsRate after tax-benefit legislation & health payments, %4.84.33.94.03.84.24.74.64.7-1.00.9
Total effect of health payments, ppts1.11.00.91.01.01.21.41.31.3-0.10.3
<18 yrsRate after tax-benefit legislation & health payments, %6.15.14.74.84.54.64.95.05.0-1.60.5
Total effect of health payments, ppts-0.3-0.4-0.3-0.3-0.3-0.3-0.3-0.3-0.30.10.0
18-64 yrs at work†Rate after tax-benefit legislation & health payments, %1.71.41.41.41.21.21.31.31.3-0.50.1
Total effect of health payments, ppts-0.1-0.1-0.1-0.1-0.1-0.1-0.1-0.1-0.10.00.0
18-64 yrs not at work†Rate after tax-benefit legislation & health payments, %23.320.719.519.818.618.820.520.620.7-4.62.0
Total effect of health payments, ppts-0.3-0.3-0.4-0.3-0.2-0.2-0.2-0.2-0.20.10.0
  1. All simulations were conducted using the 2017 data. Prices for medicines, private services, and travel costs were adjusted using IPI.

  2. *

    Poverty risk rate 60% of population median for all and ≥65-year-olds, see Table 5.

  3. At work/not at work = with and without labour market attachment in the long term (one year).

  4. 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/).

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