Habit or hiatus - Institute and Faculty of Actuaries · Source: "Overtreated: Why too much medicine...
Transcript of Habit or hiatus - Institute and Faculty of Actuaries · Source: "Overtreated: Why too much medicine...
© 2010 The Actuarial Profession www.actuaries.org.uk
Health & care conference 2011Sarah Bennett & Joanne Buckle
Global PMI utilisation patterns
Habit or hiatus19th May 2011
Global PMI utilisation patterns: Habit or hiatus
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0% 10% 20% 30% 40% 50% 60%
Malaysia
India Commercial
India micro
Hong Kong
Brazil
Mexico
Saudi
Lebanon
USA
Netherlands
UK Commercial
UK HES data
UK Seniors
Asia
Latin
A
mer
ica
Mid
dle
Eas
tU
SE
urop
e
Percentage of hospital admissions per population per year
Hospital admissions Day case admissions
Agenda
Background & contextSupply side issuesUtilisation comparisonsConclusionsQuestions/DiscussionAppendix – Country summaries
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Background & Context
• Economic regression model of healthcare utilisation at a macro level– Income– Education
– Which are in themselves linked
– Supply/infrastructure– Demographics/health status
• Trend in utilisation tends to depend on – Inflation– GDP growth (more real GDP growth = higher propensity to spend
on healthcare)– Technology advances
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Background & Context
• PMI utilisation patterns vary widely across (and within) countries
• Various factors/hypotheses– Structure of system/interaction with public system– Macroeconomic environment– Cultural issues– Supply & reimbursement of medical services– Benefits available under PMI– Political policy– Health status/demographics of underlying population– Voluntary versus compulsory – anti-selection issues
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Background & ContextSpend on health care and the impact on quality
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19Health care spend
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ealth
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After a certain point, increased health spend does not improve quality of health care
Up to a certain point, quality of health care improves rapidly as health care spend increases
As health care spend continues to spiral upwards, increased health spend actually worsens the quality of health care delivered
Background & ContextSpend on health care and the impact on quality
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19Health care spend
Qua
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ealth
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China
US
India
Background & ContextInefficiencies in the US: very high users
• In the US, one fifth to one third of health care dollars are spent on care that does nothing to improve health
• The number of deaths due to unnecessary care is 30,000 per year in the US (+ ~100,000 per year due to medical error)
• Why so much unnecessary care?1. Doctors lack evidence to know which treatments and drugs are most effective
2. Doctors lack training to interpret the quality of evidence that’s available
3. They overtreat patients out of a desire to help, even if they don’t know it’s right
4. Malpractice fears drive defensive medicine
5. Medical custom varies remarkably from region to region in the US
6. Most doctors are reimbursed for how much health care they deliver, rather than quality
7. Member induced demand, for example, Generation Rx
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Source: "Overtreated: Why too much medicine is making us sicker and poorer" – Sharon Brownlee
• Baby boomers • Generation X• Generation Y• Generation Rx
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Background & ContextInefficiencies in the US: Prescription drugs
Source: "Overtreated: Why too much medicine is making us sicker and poorer" – Sharon Brownlee
Background & Context
• Countries we will look at:– Europe: UK, Germany, Netherlands– USA– Asia: India, Malaysia, Hong Kong– Middle East: Saudi Arabia, Lebanon, Israel– Latin America: Brazil, Mexico
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Supply side statistics summaryNumber of hospital beds per 10,000 population
147
89
61
4642
3430 27 25 22 19
11 9
0
20
40
60
80
100
120
140
160Ja
pan
Ger
man
y
Isra
el
Net
herla
nds
UK
USA
Leba
non
Bra
zil
Chi
na
Sau
di A
rabi
a
Mal
aysi
a
Mex
ico
Indi
a
10© 2010 The Actuarial Profession www.actuaries.org.uk Source: World Health Organization, Most Recent Data available
Supply side statistics summaryNumber of physicians per 10,000 population
62
3734 32
28 28
21 21 2017 16 15
7 6
0
10
20
30
40
50
60
70Ita
ly
Isra
el
Ger
man
y
Net
herla
nds
USA
Leba
non
UK
Bra
zil
Japa
n
Mex
ico
Chi
na
Sau
di A
rabi
a
Mal
aysi
a
Indi
a
11© 2010 The Actuarial Profession www.actuaries.org.uk Source: World Health Organization, Most Recent Data available
Supply side statistics summaryNumber of health workers per 10,000 population
Source: World Health Organization, Most Recent Data available
169
134125
10799
75
4840
28 26 26 25 2114
0
20
40
60
80
100
120
140
160
180N
ethe
rland
s
Ger
man
y
USA
Japa
n
Isra
el UK
Sau
di A
rabi
a
Leba
non
Mex
ico
Bra
zil
Chi
na
Mal
aysi
a
Italy
Indi
a
Finland scores highest with 254 health workers per 10,000 population. The Netherlands is ranked 4th after Finland, Ireland and Norway. Liberia and Uganda score the lowest with 1 health worker per 10,000 population.
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Utilisation comparisonsData sources
• Milliman Health Cost Guidelines (HCGs)• Swiss Re: data specifically requested from regional offices• Data requested on utilisation and costs for private
insurance• Data received in a consistent format for 11 countries• For some countries data for more than one population was
received, for example, for the UK we have:=> population data (HES data)=> an insured population of seniors=> a "commercial" insured population (working age)
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Utilisation comparisonsImportance of utilisation (example)
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• Total cost = Utilisation x Cost per procedure inclusive• 5 fold increase in CABG utilisation: 4% increase in total costs
Average Length of Stay Utilisation Cost (USD)
Total Cost (USD)
Hysterectomy 4.7 83 4,300 356,900 C‐Section Delivery 4.1 370 2,600 962,000 Normal Delivery 2.9 599 1,600 958,400 Coronary Artery Bypass Graft 9.6 8 22,400 179,200 Angiogram w/o stents 3.9 476 4,700 2,237,200 Angiogram with stents 5.1 96 10,300 988,800 Angiogram with drug‐eluting stents 3.9 24 12,700 304,800 Total Hip Replacement 9.3 32 16,900 540,800 Spinal Fusion 6.9 18 13,300 239,400 Arthroscopy 2.2 145 3,500 507,500 Gastroscopy 2.2 1,143 1,400 1,600,200 MRI 8.6 305 6,800 2,074,000 CT 7.3 1,130 6,500 7,345,000 Tonsillectomy 1.9 195 1,300 253,500 Mastectomy 2.7 101 3,500 353,500
4,725 18,901,200
Dr John Wennberg (Dartmouth Medical School)Widely recognised for pioneering research on health care
outcomes and patient-directed carePioneering study in 1967 – 1972:
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Utilisation comparisonsProcedures chosen
Dr John E. Wennberg(photo by Jon Gilbert Fox – Dartmouth News)
• Observed huge differences for some• Tonsillectomy: 7% vs 70%• Hysterectomy: 2 per 1,000 vs 6 • Mastectomies, back surgery etc• Wennberg's unpopular conclusion: high
rates of surgery were not being driven by the patients but rather by the doctors
• - Source: "Overtreated: Why too much medicine is making us sicker and poorer" – Sharon Brownlee
Utilisation comparisonsMastectomies per 1,000 Medicare females 65-99
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Source: Wennberg's Dartmouth Atlas: http://www.dartmouthatlas.org/data/map.aspx?ind=95
Utilisation comparisonsMastectomies per 1,000 population
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0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8
Malaysia
India Commercial
India micro
Hong Kong
Brazil
Mexico
Saudi
Lebanon
Israel
USA
Germany
UK Commercial
UK HES data
UK Seniors
Asia
Latin
A
mer
ica
Mid
dle
Eas
tU
SE
urop
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no data
no data
Utilisation comparisonsHysterectomies per 1,000 population
0 1 2 3 4 5 6 7 8 9 10
Malaysia
India micro
Hong Kong
Brazil
Mexico
Saudi
Lebanon
Israel
USA
Germany
UK Commercial
UK HES data
UK Seniors
Asi
aLa
tin
Am
eric
aM
iddl
e E
ast
US
Eur
ope
no data
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Overall India privately insured = 1.2 – 1.5
Utilisation comparisonsProportion of C-sections
24%
67%
40%
53%
41%
49%
30%
56%
19%
9%
23%
42%
36%
12%
23%19%
30%28%
22%
14%
21%
0%
10%
20%
30%
40%
50%
60%
70%In
dia
Hon
g K
ong
Chi
na
Bra
zil
Mex
ico
Sau
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Leba
non
Isra
el
USA
Ger
man
y
UK
Net
herla
nds
Sou
th A
frica
Asia Latin America Middle East US Europe Africa
Proportion of C-section deliveries (our data)
Proportion of C-section deliveries (WHO 2010 data)19
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Utilisation comparisonsCABGs per 1,000 Medicare enrolees aged 65-99
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Source: Wennberg's Dartmouth Atlas: http://www.dartmouthatlas.org/data/map.aspx?ind=81
Utilisation comparisonsCABGs per 1,000 population
0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0
Malaysia
India micro
India Commercial
Hong Kong
Brazil
Mexico
Saudi
Lebanon
Israel
USA
Germany
UK Commercial
UK HES data
UK Seniors
Asi
aLa
tin
Am
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aM
iddl
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ast
US
Eur
ope
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no data
Utilisation comparisonsHip Replacements per 1,000 Medicare enrolees
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Source: Wennberg's Dartmouth Atlas: http://www.dartmouthatlas.org/data/map.aspx?ind=89
Utilisation comparisonsHip Replacements per 1,000 population
0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.0
Malaysia
India Commercial
India micro
Hong Kong
Brazil
Mexico
Saudi
Lebanon
Israel
USA
Germany
UK Commercial
UK HES data
UK Seniors
Asia
Latin
A
mer
ica
Mid
dle
Eas
tU
SE
urop
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no data
Utilisation comparisons:MRI Scans vs MRI Scanners
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Source of units per million population data: Health at a Glance 2009: OECD Indicators - OECD © 2009
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118
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110
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58
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140
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25
30U
S (C
omm
erci
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Net
herla
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(All)
UK
(Com
mer
cial
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UK
(NH
S)
Leba
non
(Com
mer
cial
)
Isra
el
(Com
mer
cial
)
Mex
ico
Scan
s pe
r 1,0
00 p
opul
atio
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MR
I uni
ts p
er m
illio
n po
pula
tion MRI scanners per million population
MRI scans per 1,000 population
Utilisation comparisons:CT Scans vs CT Scanners
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Source of units per million population data: Health at a Glance 2009: OECD Indicators - OECD © 2009
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8 8 8
15
8
2
264
6033
59 51
116
5 0
50
100
150
200
250
300
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5
10
15
20
25
30
35
40U
S (C
omm
erci
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Net
herla
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(All)
UK
(Com
mer
cial
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UK
(NH
S)
Leba
non
(Com
mer
cial
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Isra
el
(Com
mer
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Mex
ico
Scan
s pe
r 1,0
00 p
opul
atio
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CT
units
per
mill
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popu
latio
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CT Scanners per million population
CT Scans per 1,000 population
Utilisation comparisonsSpinal Fusions per 1,000 population
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0 1 2 3 4 5 6
Malaysia
India Commercial
India micro
Hong Kong
Brazil
Mexico
Saudi
Lebanon
Israel
USA
Germany
UK Commercial
UK HES data
UK Seniors
Asia
Latin
A
mer
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Mid
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Eas
tU
SE
urop
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no data
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Utilisation comparisonsArthroscopies per 1,000 population
0 5 10 15 20 25 30
Malaysia
India Commercial
India micro
Hong Kong
Brazil
Mexico
Saudi
Lebanon
Israel
USA
Germany
UK Commercial
UK HES data
UK Seniors
Asia
Latin
A
mer
ica
Mid
dle
Eas
tU
SE
urop
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no data
no data
Utilisation comparisonsGastroscopies per 1,000 population
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0 5 10 15 20 25 30 35 40 45 50
Malaysia
India Commercial
India micro
Hong Kong
Brazil
Mexico
Saudi
Lebanon
Israel
USA
Germany
UK Commercial
UK HES data
UK Seniors
Asia
Latin
A
mer
ica
Mid
dle
Eas
tU
SE
urop
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no data
no data
Utilisation comparisonsTonsillectomies per 1,000 population
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0 1 2 3 4 5 6 7 8
Malaysia
India Commercial
India micro
Hong Kong
Brazil
Mexico
Saudi
Lebanon
Israel
USA
Germany
UK Commercial
UK HES data
UK Seniors
Asia
Latin
A
mer
ica
Mid
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Eas
tU
SE
urop
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no data
Utilisation comparisonsNumber of GP consultations per life per year
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0
2
4
6
8
10
12
14
OECD Economic Surveys: Japan - OECD © 2009 - ISBN: 978-92-64-05455-4
Our data: Data not available for many countriesUSA 3Malaysia 4.7Netherlands 4.1
Global PMI utilisation patterns% of hospital admissions per population per year
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0% 10% 20% 30% 40% 50% 60%
Malaysia
India Commercial
India micro
Hong Kong
Brazil
Mexico
Saudi
Lebanon
USA
Netherlands
UK Commercial
UK HES data
UK Seniors
Asia
Latin
A
mer
ica
Mid
dle
Eas
tU
SE
urop
e
Hospital admissions Day case admissions
Cost comparisonAverage cost per hospital admission (not PPP adjusted)
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$1,418
$1,174
$595
$3,711
$1,625
$1,603
$3,318
$6,665
$4,500
$0 $1,000 $2,000 $3,000 $4,000 $5,000 $6,000 $7,000
Malaysia
India Commercial
India micro
Hong Kong
Mexico
Saudi
Lebanon
USA
UK
Asi
aLa
tin
Am
eric
aM
iddl
e E
ast
US
Eur
ope
Conclusions
• Extreme differentials exist between PMI utilisation patterns currently
• Increased quantity does not necessarily imply better quality of health care
• Care must be taken to price PMI taking into account the uniqueness of each health care market and the product design
• For High Net Worth and high end products we are seeing some convergence – towards highest levels
• For microinsurance, the differential will persist indefinitely
Will these differentials persist or will utilisation patterns converge?Is this habit or hiatus?
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Questions or comments?
Expressions of individual views by members of The Actuarial Profession and its staff are encouraged.The views expressed in this presentation are those of the presenters.
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AppendixCountry summaries
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– Europe: UK, Germany, Netherlands
– USA
– Asia: India, Malaysia, Hong Kong
– Middle East: Saudi Arabia, Lebanon, Israel
– Latin America: Brazil, Mexico
UK
• PMI is supplemental, voluntary and often overlapping• People have choice of using NHS or PMI for most
procedures• Use of PMI often depends on state of NHS in particular
area and specialty• Some drugs/procedures covered by PMI that not available
on NHS• Supply of hospital beds not constrained in private sector –
little control of utilisation• Mindset of “have paid premium, will use services”• Medium level of obesity & chronic disease in population,
but not high among people who have private coverage36
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Germany
• 85% population have compulsory social insurance• 15% opt out and have alternative PMI• A high proportion also have supplemental insurance• PMI is heavily regulated in terms of premiums and UW• High cultural expectations of good coverage – traditionally
has included spa treatments!• High supply of medical infrastructure – docs, nurses, beds
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Netherlands
• All private – every citizen must buy an approved level of private insurance. Top up insurance is voluntary
• Fairly supply-constrained in certain areas, with waiting lists• Reimbursement system does not encourage over-use –
tend to be episode based rather than Fee For Service ('FFS')
• Cultural expectations and ageing lead to high utilisation for certain services
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USA
• PMI is first dollar coverage for most working population• Even government programmes often overseen by private
insurers• High supply and reimbursement encourages over-use,
despite efforts to control• Consumer & high spending power mindset encourages
excessive use• Cultural pre-occupation with consuming healthcare,
although politically not seen as universal right• Often generous coverage• High levels of obesity and chronic disease, but relatively
young population overall39
© 2010 The Actuarial Profession www.actuaries.org.uk
India
• PMI only covers 2-3% of population – relatively wealthy, privileged class
• Fast growing – premium growth of 30% + over last few years
• Also fast growing supply – PMI may be seen as a way of funding hospital building
• Tend to be inpatient-only coverage• Public health care very poor and struggling to deliver even
the most basic care to the population of 1.2 billion• Microinsurance fills the gap for some but cover is very
limited.
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Malaysia
• Health care catered for by public and private providers• Lack of supply of health care resources is an issue• The high cost of private health care is also an issue• 65% of Medical and Health Insurance (“MHI”) premiums
relate to hospital and surgical cover (CI, LTC and hospital cash plans make up the balance)
• Increasing trend towards MHI, fuelled by increased tax relief in the mid 1990s
• Ongoing discussion about a National Health Financing Scheme for Malaysia
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Source: Axco Report - Malaysia Life & Benefits
Hong Kong
• 2.7 million of the 7 million population in Hong Kong have some form of private medical insurance
• The government encourages take up of PMI by standardising products and requiring a savings facility for old-age premium costs
• Voluntary “top-up” policies are also available (mostly individual policies to supplement employer plans)
• Hong Kong is one of the most affluent societies in the world, standards of health care for the well-off are extremely high
• Lack of supply of private hospital beds due to demand from the mainland.
• Undisciplined market: high costs and high utilisation42
© 2010 The Actuarial Profession www.actuaries.org.ukSource: Axco Report - Hong Kong Life & Benefits
Saudi Arabia
• All expats must have approved minimum level of coverage• Historically some supply constraints, but large scale
hospitals building• Low utilisation for cultural reasons:
– Often lowly paid foreign workers don’t realise extent of insurance coverage
– Sick workers tend to go home, rather than be treated• By definition, covered people are fit enough to work
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Lebanon
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• Approx 1.5m people have PMI out of population of 4m• Much less ex-pat cover than other Middle Eastern
countries and more domestic cover• High utilisation trends as Lebanese awareness and
demand approaches that of Western countries like the US• Cultural trend towards increasing % of C-sections• Preference is to access specialist directly (gatekeeper
concept is not successful)
Israel
• Standards of health care are very high in Israel• Israel has a system of compulsory Social Insurance: every
resident is required to register as a member with one of the four Health Funds or “Kupat Holim”, deductions from income
• Supplementary benefits are available from each sick fund for an additional premium (known as Mashlim / SHABAN)
• In addition, top up cover is available from insurance companies, which covers, for example, medicines not covered by the sick funds, specified surgeries or organ transplants. This is essentially the PMI market in Israel.
• Even if the insured has cover through a Health Fund and supplementary benefits, they may not make use of them, choosing to place the full burden with the PMI insurer. 45
© 2010 The Actuarial Profession www.actuaries.org.uk
Brazil
• Public healthcare of very poor quality and 25% of population have private coverage – which is essentially duplicative
• No underwriting allowed for individual PMI, some for group• Cultural expectations of private healthcare is for treatment
without limit• Reimbursement usually encourages over-utilisation• Taking out of private healthcare encouraged by
government – private insurers obliged to cover new treatments by government– High utilisation trends due to new technologies/treatments
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Mexico
• PMI is an alternative to comprehensive social insurance –essentially duplicates compulsory public insurance
• Approx 9m people have PMI out of population of 55m• Combination of major/minor medical coverage + dental,
optical etc• Little regulation as voluntary, with underwriting allowed• High net worth/middle class portfolio with high
expectations wanted freedom of choice of physicians and hospitals
• Few controls on utilisation – with open or preferred provider networks
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