does competition in health insurance harm solidarity? – experiences from switzerland
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Does competition in health insurance harm solidarity? – Experiences from Switzerland . Annual TILEC-Tranzo conference 2012 at Tillburg University, the Netherlands 26 th January 2012, Tillburg Prof. Dr. Konstantin Beck Director CSS Institute for empirical Health Economics. Yes, it does!. - PowerPoint PPT PresentationTRANSCRIPT
Does competition in health insurance harm solidarity? –
Experiences from Switzerland
Annual TILEC-Tranzo conference 2012at Tillburg University, the Netherlands
26th January 2012, Tillburg
Prof. Dr. Konstantin BeckDirector CSS Institute
for empirical Health Economics
Yes, it does!
________________________________________________________________________________________________________
for empirical Health Economics Prof. Dr. Konstantin Beck
Agenda
I. The institutional setting and its solidarity components
II. The problem with solidarity → risk selectionI. How do insurers select?II. How appropriate is the reform of risk
equalization? III. The problem with efficiency → unintended
redistributionIV. Conclusions
Swiss Market for Social Health Insurance
Swiss Social health insurance is mandatory for all inhabitants
64 competitive insurers offer the strictly defined package of services (covers 40% of total HCE or 24 Billion CHF)
Open enrolment (annual / semi annual) Community rated premium / differentiation
according to coverage (as higher deductibles, managed care) and geography
Copayment (14 %)
________________________________________________________________________________________________________
for empirical Health Economics Prof. Dr. Konstantin Beck
Swiss Market for Social Health Insurance II
Insurers also offer supplementary insurance Basic package is a non-profit business Voluntary higher copayment or restricted
access to care (gatekeeping/managed care) entitles for premium rebates up to 50%
51% of the total population opt for managed care
Inpatient care is subsidised by 55% Changes in Social Health insurance must be
approved by Swiss voters
________________________________________________________________________________________________________
for empirical Health Economics Prof. Dr. Konstantin Beck
Solidarity in Swiss SHI-Market
1. Access to health supply → mandatory coverage
2. Income solidarity → Individual transfers to low income citizens to reduce premium burdenand55% of inpatient care is tax financed
3. Age solidarity → one premium for ages 26 to death
4. Health solidarity → Community rated premium, open enrolment
________________________________________________________________________________________________________
for empirical Health Economics Prof. Dr. Konstantin Beck
________________________________________________________________________________________________________
for empirical Health Economics Prof. Dr. Konstantin Beck
Agenda
I. The institutional setting and its solidarity components
II. The problem with solidarity → risk selectionI. How do insurers select?II. How appropriate is the reform of risk
equalization? III. The problem with efficiency → unintended
redistributionIV. Conclusions
Insurer’s incentives Insurers have clear incentives to reduce costs
that lowers premiumo By selling high copayment plans and reduce
moral hazardo By selling managed care plans
But they have as well incentives to do selection:o Profit: Beck/Zweifel (1996) showed in a
simulation: Up to 50% premium advantage is possible despite risk adjustment
o It’s an effective measure to prevent bankruptcy
________________________________________________________________________________________________________
for empirical Health Economics Prof. Dr. Konstantin Beck
Selection with conglomerates
Central Administration
Cheap low-risk-fund
Medium fund for medium risks
Expensive High-risk-fund
Centralisedselling point :
Transfer of means by reinsurance
New applicants
________________________________________________________________________________________________________
for empirical Health Economics Prof. Dr. Konstantin Beck
# of insured with 6 largest funds 1996 to 2010
0
200'000
400'000
600'000
800'000
1'000'000
1'200'000
1'400'000
1996 1998 2000 2002 2004 2006 2008 2010
The most successful fund (#2 in 2012)
is the risk selecting fund
Point in time, when the fund starts to evidently select risks
________________________________________________________________________________________________________
for empirical Health Economics Prof. Dr. Konstantin Beck
Market for SHI 1997/2011
* Figure not published yet
Year Numberof funds
Number ofconglomerates
Number of fundsin conglom.
% funds inconglomerates
% insured in conglomerates
1997 124 1 13 10 3
1999 108 2 19 18 22
2001 99 2 18 18 22
2003 93 2 19 20 24
2005 86 3 22 26 40
2007 87 4 25 29 48
2008 89 6 30 34 59
2009 89 7 35 39 63
2010 82 8 39 48 63
2011 64 8 27 42 *
________________________________________________________________________________________________________
for empirical Health Economics Prof. Dr. Konstantin Beck
What risk adjustment is applied (1996 – 2011)?
0
100
200
300
400
500
600
700
Costs per head and month
Risk classes according to age and gender
19-25
26-30
31-35
36-40
41-45
46-50
51-55
56-60
61-65
66-70
71-75
76-80
81-85
86-90
91+
}} } } } } } } } } }}}}}
Average
________________________________________________________________________________________________________
for empirical Health Economics Prof. Dr. Konstantin Beck
Political debate 1996 - 2012 1996 slightly improved demographic formula 1998: CSS insurance proposes prior hospitalization
as a first step to improve the formula
100
200
300
400
500
600
700
19-25
26-30
31-35
36-40
41-45
46-50
51-55
56-60
61-65
66-70
71-75
76-80
81-85
86-90
91+
}} } } } } } } } } }}}}}
Costs per head and month
Risk classes according to age and gender and prior hospitalization
Average
Political debate 1996 - 2012 (II) 1996 slightly improved demographic formula 1998: CSS insurance proposes prior hospitalization as a first
step to improve the formula 2007: Decision of the national parliament to introduce prior
hospitalization in 2012. Meanwhile a PCG-formula (CSS & Erasmus University) and
an AP-DRG-Model (University of Lausanne) have been developed.o R2 Demographic 11%
+ prior hospitalisation 21%+ Pharmaceutical Cost Groups30%
2011: The minister of health defines a PCG-formula as a goal for 2017
________________________________________________________________________________________________________
for empirical Health Economics Prof. Dr. Konstantin Beck
Impact on premiums when deterring high risk customers*
No Risk Adjustment: 46%
0% 5% 15% 25% 35% 45%
RA demographic: 32%
(bench mark)
(Reform 2012) ..with prior hospitalization: 19%
(Reform proposal 2017) ..with PCG in addition: 16%
(RA 1996-2011)
Managed Care: 13% - 25%
*) expected annual costs > 1000 € (over 5 years)
How to measure risk selection?• Think of a total average premium• Calculate the sum of (absolute) deviations of all individual premiums from total average premium
• Split off this sum of deviations into legal and illegal deviations• Express the later as percentage of the sum• But what are illegal deviations?
• Some funds are member of a conglomerate• Calculate average premium within each conglomerate• We denominate deviations of all individual premiums within a conglomerate as illegal deviations.
________________________________________________________________________________________________________
for empirical Health Economics Prof. Dr. Konstantin Beck
Time schedule in Swiss SHI market
Premium 2008RA-ReformPremium 2009Premium 2010Premium 2011Premium 2012
Decision: Effective:
2007 2008 2009 2010 2011 2012
possibly influenced by RA reform
________________________________________________________________________________________________________
for empirical Health Economics Prof. Dr. Konstantin Beck
Index of risk selection 1997-2011The index measures the minimum impact risk selection has on solidarity (new revised formula von Wyl/Beck, 2012)
0.0%
5.0%
10.0%
15.0%
20.0%
25.0%
30.0%
35.0%
1997 1999 2001 2003 2005 2007 2009 2011 ________________________________________________________________________________________________________
for empirical Health Economics Prof. Dr. Konstantin Beck
________________________________________________________________________________________________________
for empirical Health Economics Prof. Dr. Konstantin Beck
Agenda
I. The institutional setting and its solidarity components
II. The problem with solidarity → risk selectionI. How do insurers select?II. How appropriate is the reform of risk
equalization? III. The problem with efficiency → unintended
redistributionIV. Conclusions
________________________________________________________________________________________________________
for empirical Health Economics Prof. Dr. Konstantin Beck
A simple model of plan choice
young old
0
To be compensated
in MC
not in MC
0
iiii MCAgeHCE 10
01
0
1
HCE Derived from Schokkaert / van de Voorde (2009)
________________________________________________________________________________________________________
for empirical Health Economics Prof. Dr. Konstantin Beck
A simple model of plan choice II
young old
0
To be compensated
in MC
not in MC
0
iiii MCAgeHCE 10
01
0
1
HCE the way people switch :
________________________________________________________________________________________________________
for empirical Health Economics Prof. Dr. Konstantin Beck
A simple model of plan choice III
young old
0
To be compensated
In MC
not in MC
0
iiii MCAgeHCE 10
01
0
1
HCE
All cost reduction is
fully redistributed
RA contribution
RA subsidy
________________________________________________________________________________________________________
for empirical Health Economics Prof. Dr. Konstantin Beck
How the solution should look like
young oldTo be compensated
In MC
not in MC
iiii MCAgeHCE 10
HCEThis step is only
possible, as long as beta is independent of age (additive separability)
00
01
0
1
________________________________________________________________________________________________________
for empirical Health Economics Prof. Dr. Konstantin Beck
Real problem with efficiency
Although the described problem looks very unlikely, we have exactly this type of problem in the Swiss risk adjustment formula.
Fair rebating premiums for young adults is impossible (although intended by the law) because of this phenomenon. (It’s even a pareto-suboptimal situation)
And all cost saving models pay too high transfers to the insured with full coverage.
Conclusions
________________________________________________________________________________________________________
for empirical Health Economics Prof. Dr. Konstantin Beck
Again: Competition needs sophisticated regulation in order not to harm solidarity and efficiency.
The first reform of the Swiss RA-formula shows evidence of reduced risk selection…
…but improving the formula is still necessary for the Swiss market for social health insurance.
The PCG-formula is the top candidate to do this job.
Optimizing the actual risk adjustment formula would make insuring young adults attractive and still allows the same (net-) transfers to the elderly.
It would also increase incentives to contain costs.
________________________________________________________________________________________________________
for empirical Health Economics Prof. Dr. Konstantin Beck
.
Thank youfor your attention!