11.1.3.4. Technical efficiency
There is considerable
controversy surrounding the development of an appropriate measure of efficiency
in a complex human service sector such as health. Economic theory presents one
of the main measures of efficiency as technical efficiency, concerned with
outputs and not with the distribution of these outputs. It can be argued that
efficiency can be broadly ascertained through an examination of the resources
committed to the health system e.g. costs and utilization rates (Figueras et al, 2004). Others have attempted to generate a
single measure of efficiency, or productivity of the health system. Macro level studies of efficiency have been
conducted with OECD data, however, relying on aggregate measures of expenditure
and health status; thus they should be interpreted with caution (Retzlaff-Roberts et al, 2004; Starfield et
al, 2005). Moreover, these
studies do not indicate causation, but rather identify associations between
health system features or expenditure and outcomes.
Health system
productivity can be defined as the level of output generated by a given set of
inputs. The UK has been innovative in developing a measure of health system
productivity attempting to incorporate elements of quality of care into the
measurement of the output of the system (Department of Health, 2005). The quality indicators that have been
used include survival rates, waiting times, patient experiences and longer-term
survival rates for myocardial infarction. These quality indicators are combined
with more objective indicators of output such as activity levels at various
levels of the system. This is still a premature attempt at analyzing
performance, but further work should provide some insight into the costs and
benefits of the NHS.
Efficiency and provider payment methods
The methods used
to pay healthcare providers create powerful incentives that affect provider
behaviour and the efficiency, equity and quality outcomes of health system
financing. Specifically, these payment methods can be used to influence the
price and quantity of healthcare. In the health service, there are three basic
methods of physician payment: fee-for-service, salary and capitation. There are
many variations of these payment systems, but the basic principles remain
always the same. Payment can either be prospective (includes salary, capitation
and line-item or global budgets) or retrospective (usually in the form of
fee-for-service and case-based payment for hospitals).
Fee-for-service is an agreed upon value for a specific service which
is to be provided. The incentive is to provide the best service at a reasonable
cost to maintain the confidence of patients. Fee-for-service payment works well
when there is an adequate supply of providers, minimal interference in the
negotiation of prices and freedom to choose the provider. It fails when
providers attempt to control supply and demand (cartels) or when insurers set
prices at a level too low for providers to survive (rent controls). Regulations
can be implemented to prevent these examples of potential failures.
Salary is the payment of a negotiated amount of money for a
fixed period of time, within which providers are committed to providing
services. The number of patients seen, services provided, and the cost of
services do not affect the payment. Legislation can cover overtime pay and
holiday pay based on the amount of time worked. However, salaries remain linked
to services as they must come from the payment for the service to the third
party or through taxation in a public system.
Capitation is the payment of a set amount of money to the
provider to insure that services are provided to the user in a given time
period. The provider agrees to provide all agreed services and bares the risk
that the negotiated amount will cover costs and leave a profit. The user agrees
to obtain the agreed services only from the designated provider unless
additional money is paid out.
Each of these
have different inherent incentives. Fee-for-service systems have an incentive
to increase activity, and could have an incentive to target the poor depending
on the structure of the fee schedule, while salary and capitation methods
control costs but provide an incentive to decrease activity, shift patients’
costs onto others and do not encourage the targeting of the poor. These
theoretical incentives of different remuneration strategies have been supported
by empirical studies. For example a study in Copenhagen of a selection of GPs
changing from a full capitation model to a partial fee-for-service/partial
capitation method found that: a) activity increased by adding services to
existing patients, not by adding new patients (the latter being less at the
doctor’s discretion); and b) referrals to specialists decreased as GPs were
taking on more services previously provided by specialists (Krasnik et al. 1990).
Across Europe,
these are the main approaches for paying providers. Primary care providers are
most commonly paid through a combination of capitation and fee-for-service.
Specialists are usually paid by salary in tax-funded systems, while in social
insurance systems fee-for-service is the most common payment method.
Fee-for-service is also the norm for privately delivered primary and outpatient
care. Several studies have found supportive evidence for the actual effects of
the payment method on the physician’s behaviour (Chaix-Couturier et al, 2000; Gosden et al,
2006). Therefore, more
countries are experimenting with blended or mixed payment schemes, which
include elements of two or more methods to moderate these negative incentives.
Table 11.3 shows the physician payment methods for physicians in Europe.
Table 11.3. Physician payment methods in Europe
|
Countries
|
Primary care
physicians
|
Ambulatory care
specialists
|
Physicians in public
hospital
|
Physicians in private
hospital
|
|
Austria
|
60% by fee-for-service
and 40% by fee-for-service and capitation.
|
90% by
fee-for-service, 10% by capitation and fee-for-service.
|
90% by salary and 10%
by fee-for-service.
|
90% by fee-for-service
and 10% by salary.
|
|
Belgium
|
Fee-for-service.
|
Fee-for-service.
|
Fee-for-service.
|
Fee-for-service.
|
|
Bulgaria
|
Capitation (with some
fee-for-service for preventive services).
|
Fee-for-service.
|
Salary, with bonus
payments for performance.
|
Negotiable between
employer and personnel groups.
|
|
Croatia
|
Capitation (with
fee-for-service for preventive services, not exceeding 7% of annual
capitation).
|
Fee-for-service
|
Fee-for-service
|
Fee-for-service
|
|
Cyprus
|
Salary (public
sector); fee-for-service (private sector)
|
Salary (public
sector); fee-for-service (private sector)
|
Salary.
|
Fee-for-service.
|
|
Czech
Republic
|
Capitation and
fee-for-service
|
Fee-for-service (with
limit)
|
Salary.
|
Salary*.
|
|
Denmark
|
Blended payment (63%
of income from fee-for-service, 28% from capitation).
|
Not relevant.
|
Salary.
|
|
|
England
|
86% by blended payment
(capitation, practice allowance, fee-for-service for selected services,
target payments for immunization), 14% by fee-for-service for private work.
|
100% by salary for
public patients; fee-for-service for private patients.
|
100% by salary for
public patients, fee-for-service for private patients.
|
100% by
fee-for-service.
|
|
Estonia
|
Capitation,
fee-for-service (to a maximum of 18% of capitation payment), monthly
allowance, and additional payments for training and distance from hospital.
|
Fee-for-service with
maximum (depending on contract).
|
Salary.
|
Salary.
|
|
France
|
Fee-for-service.
|
Fee-for-service.
|
Salary.
|
Fee-for-service.
|
|
Germany
|
100% by
fee-for-service.
|
100% by
fee-for-service.
|
Salary.
Fee-for-service for private patients.
|
100% by salary.
|
|
Greece
|
Salary in public
sector, fee-for-service in private sector.
|
Salary in public
sector, fee for service in private sector.
|
Mainly by salary.
|
Blended payment
(fee-for-service and salary).
|
|
Hungary
|
Capitation plus fixed
amount based on practice size and location. Fee-for-service in private
sector.
|
Salary.
|
Salary.
|
Fee-for-service.
|
|
Iceland
|
Salary (plus
fee-for-service for after hours up to 10% of the total)
|
Fee-for-service
|
Salary
|
|
|
Italy
|
Capitation (ranging
according to years of experience) plus fees for specific services (surgery
and prevention) (fee-for-service for private work)
|
Pediatricians – same as GPs
|
Salary
|
Fee-for-service.
|
|
Ireland
|
Fee-for-service if
higher income, patient capitation if lower patient income.
|
|
Salary. Fee-for-service
for treating privately insured patients in public hospital.
|
|
|
Latvia
|
“Mixed capitation”
|
Fee-for-service
|
Salary
|
Fee-for-service
|
|
Lithuania
|
Capitation and
fee-for-service.
|
Salary and fee-for-service
|
Salary and
fee-for-service
|
|
|
Luxembourg
|
Fee-for-service
|
Fee-for-service (except for few
neuron-psychiatric doctors paid salary).
|
Fee-for-service.
|
Fee-for-service.
|
|
Malta
|
Salary.
|
Salary (public); fee-for-service
(private).
|
Salary.
|
Fee-for-service.
|
|
Netherlands
|
Fee-for-service if higher patient
income,
capitation if lower patient
income.
|
|
|
Blended payment (salary and
fee-for-service).
|
|
Norway
|
Blended payment (70% of income
from fee-for-service and 30% from capitation).
|
Salary and fee-for-service in
public sector, fee-for-service in private sector.
|
Salary.
|
|
|
Poland
|
Capitation.
|
|
|
Fee-for-service.
|
|
Portugal
|
Salary in public sector,
fee-for-service in
private sector.
|
|
Salary.
|
Fee-for-service.
|
|
Romania
|
Blended payment: capitation (85%)
and fee-for-service (15%).
|
Fee-for-service.
|
Salary
|
N/A
|
|
Slovak Republic
|
Blended payment (capitation and
target
payments for preventive care).
|
100% by fee-for-service.
|
100% by salary.
|
Fee-for-service.
|
|
Slovenia
|
Salary and bonus payments.
|
Salary (with public contract);
fee-for-service (without).
|
Salary.
|
Salary (with public contract);
fee-for-service (without)
|
|
Spain
|
Blended payment (85% of income
from salary
and 15% from capitation).
|
100% by salary.
|
100% by salary.
|
Mainly by fee-for-service.
|
|
Sweden
|
Salary
|
Salary
|
100% by salary
|
100% by salary
|
|
Switzerland
|
96% by fee-for-service and 4% by
salary.
|
90% by fee-for-service, 10% by
salary.
|
Fee-for-service, salary and
blended payment
(fee-for-service and salary).
|
Fee-for-service, salary and
blended payment
(fee-for-service and salary).
|
|
Turkey
|
Salary
|
Private specialists paid fee-for-service.
|
Salary plus bonuses
|
Salary plus bonuses
(fee-for-service for additional private work)
|
*Information as communicated by the Czech partner.
Sources: Siciliani and Hurst – OECD 2006; Bulgaria HiT
2007; Croatia HiT 2007; Cyprus HiT 2004; Czech HiT 2004; Estonia HiT 2004;
Hungary HiT 2004; Iceland HiT 2003; Italy HiT 2001; Latvia HiT 2001; Luxembourg
HiT 1999; Malta Hit 1999; Romania HiT forthcoming; Turkey HiT 2002; Slovenia
HiT 2002.
In consideration
of the incentives for each method, some alternative models have been devised.
These include performance-based reimbursement in Sweden and the GP contract in
the UK. In the US, experimentation with physician payment methods that
stimulate physicians to expand the provision of preventive services, improve
clinical outcomes and enhance patient safety and satisfaction are collectively
called “pay-for-performance” programmes. These are based on the assumption that
the structure of payment methods may not facilitate (or even prevent) the
actions needed to systematically improve the quality of care (Institute of Medicine, 2001).
The analysis of
payment mechanisms generally focus on the balancing of risk aversion with moral
hazard (Eisenhardt, 1989; Sappington, 1991). The combination of retrospective (i.e.
fee-for-service) and prospective (i.e. capitation, salaries) payment methods
under the need to balance conflicting incentives falls within the scope of the
economic literature on principal-agent relationships as well as the literature
on optimal contracts in the context of multi-task agency relationships (Robinson et al, 2004).
Most European health
systems have in place a hospital payment system based on global budgets, though
increasingly case-based payments (often referred to as diagnosis related groups
(DRGs)) – a fixed fee for service that is risk adjusted by case mix complexity
– are being introduced to define the budgets or as a form of payment (see Table
11.3). While DRGs are a retrospective payment, budgets are prospective and may
be ‘hard’ (i.e. penalties are incurred for overspending) or ‘soft’ (i.e.
overspending is not penalized). The DRG payment system was first introduced in
US Medicare in the 1980s, leading to initial cost savings and efficiency
improvements. Currently, most European countries have
moved from a full retrospective hospital payment system towards one linked to
activity or within a fixed budget constraint aimed at encouraging efficiency in
production.
Case-based
payment are designed so that providers are paid an inclusive flat sum for a
patient’s treatment according to their specific diagnosis or service need. They
serve both to measure the costs of treating a given patient and to reimburse
providers fairly and with the incentive to improve efficiency. Both purposes
require an unbiased and accurate risk adjustment process, and a
methodologically sound system (Busse et al, 2006). Technical challenges arise in designing a DRG system
to ensure patients within one diagnostic group have equivalent costs and
equivalent clinical diagnoses, severity and treatments. There is concern over
how broadly or tightly DRGs should be defined: broad diagnosis groups may
increase efficiency and reduce data manipulation but may increase quality
skimping, whereas tightly defined groups may lead to over-treatment in order to
reclassify patients into a higher paying DRG (Busse et al, 2006).
DRGs are used to
set part or the whole of hospital budgets in Austria, Belgium, Denmark,
England, France, Finland, Germany, Hungary, Ireland, Italy, the Netherlands,
Poland, Portugal, Spain, Slovenia, Sweden, Switzerland (Carrin and Hanvoravongchai, 2003; HOPE -
European Hospital and Healthcare Federation, 2006; Schreyogg et al, 2006). Although the principles of the initial US
Medicare DRG system have been translated into the European context, each
country has adapted the design to the suit their own system. Moreover, while
significant variations are seen in the role DRGs play in the health system, and
in some cases in their different roles within countries, what is common across
European countries is that even when implemented for financing purposes, their
objectives reach beyond financing to other aims such as increased transparency (HOPE - European Hospital and Healthcare
Federation 2006). With many
countries having introduced DRG systems, and with different systems of patient
classification, there is increasing concern for maintaining and improving
quality. Thus additional quality incentives have been developed alongside the
DRG system (HOPE - European Hospital and Healthcare
Federation, 2006).
The success of a
DRG system depends on the incentives that are created, and whether these are in
line with policy objectives. A DRG system is associated to several possible
incentives, many of which have been identified in practice. For example, it may
encourage providers to treat patients with lower expected costs than the
reimbursement, which may or may not be beneficial. Also, on the contrary, it
may lead providers not to treat patients with higher expected costs than the
reimbursement, i.e. it may encourage the ‘dumping’ of complex, high cost
patients (Busse et al, 2006). A common incentive created by DRGs is ‘up-coding’,
which refers to the incentive to upgrade the severity of the DRG to increase
reimbursement. Finally, cost shifting and quality skimping may arise because of
the incentive to minimize costs within a treatment group (Busse et al, 2006).
In the light of
the numerous perverse incentives, some countries make use of a blended payment
system. Countries in Western Europe provide an interesting example of
convergence towards a mixed payment system for funding hospital services. Many
countries currently use some form of case-mix system, based on an adaptation of
the DRG system combined with a global budget cap. Each system has adapted the
specifics of the case-mix measure and/or the application to fit within the
local funding framework, or to address the objectives prioritized within the
local hospital environment. For example, in Norway, there is a combination of
payment by actual and expected activity: DRG payments are combined with
risk-adjusted capitation (Smith, 2004).
The development,
implementation and modification of the DRG systems vary across Europe. A review
of the methodology used to develop DRG systems in 9 European countries
(Denmark, England, France, Germany, Hungary, Italy, the Netherlands, Poland and
Spain) reveals two general strategies: adopting or modifying an existing system
(with different modifications across countries), or developing a new system
(e.g. in the Netherlands and Austria) (Schreyogg et al, 2006). Reimbursement rates are calculated on the
basis of different data sources across the countries. For instance, while England
includes all hospitals to determine average costs (300 hospitals), the
Netherlands chooses hospitals that are representative according to some
criteria (including 23 or 22% of all hospitals using DRGs), Italy, Germany and
Spain include those hospitals with predefined cost accounting standards
(including 8 (1%), 214 (12%), and 18 hospitals respectively). There is a
trade-off between the quality of data and the degree to which the data are
representative of the country’s hospitals (Schreyogg et al, 2006). Calculating reimbursement rates also
requires decisions to be made about outlier cases (i.e. treatment episodes with
much higher or lower resource use than average) and about defining prices. For
the former, different methods can be used to detect outliers using mathematical
trimming. To set prices, products first have to be defined, which can be either
via medical procedures, groups of medical procedures, or most commonly a
combination of clinical, demographic and resource consumption data. In England
and France prices are established directly by the average cost per DRG, while
in other countries, DRG cost weights are used. Whether with average costs or
weights, further adjustments are needed to account for differences in hospital
structure, region and other factors affecting the cost of service delivery.
These adjustments are made differently in each country. Finally, many continue
to make modifications to improve accuracy and also to encourage the uptake of
new technologies.
The impact of
the DRG hospital financing systems introduced in Europe have been measured to
differing degrees. In Austria, hospitals became more cost conscious, hospital
activities more transparent, information for insurance funds improved, and
hospital costs increased more slowly, but there were no differences for
patients. In Belgium the length of stay declined, significant efforts were
directed towards detecting fraud (therefore potential waste and administration
costs), and the hospital budget was better controlled. In Denmark, hospital
activity increased, and the private sector increased its market share. In
Finland, transparency and productivity appeared to improve, and there were
estimated financial savings. In Italy, costs of services have fallen along with
the average length of stay and number of beds, patients experienced lower
waiting times and increased accessibility, insurance plans expanded their
benefits packages because of increased financial transparency, and hospital
budgets were better controlled (HOPE - European Hospital and Healthcare
Federation, 2006). In England
the DRG-style Health Related Group (HRG) system introduced in 2003/2004 to
improve performance has been characterized by slower and more difficult than
anticipated implementation, higher than expected costs, and to date no evidence
of improved efficiency or increased activity (Boyle, 2007).
Administrative costs
Administrative
costs reflect part of healthcare funding that is not directly related to
improving health. Included in these costs are the planning, management,
regulation, collection of funds and handling of insurance claims. Often
expenditure in this area can be used to infer the level of efficiency in which
the healthcare system operates. OECD country data show that social health
insurance countries generally have higher administrative costs (i.e. Germany,
Luxembourg, the Netherlands), with costs in Austria being relatively lower and
closer to those of tax-funded systems. The lower level of administrative costs
in Austria and France could be due to the lack of choice permitted between
sickness funds, with the exception of Luxembourg (Figueras et al, 2004). In spite of this, the Netherlands in 2006 generalized the provision of
insurance through competing private insurance funds though with heavy state
regulation (see Section 11.6 Financing Health Care). In the Central and Eastern European countries that
have embarked on healthcare financing reforms, the separation of the collection of health insurance
premiums from the collection of general taxes has likely increased the
administrative costs within the country (Thomson et al, 2004).
Private health
insurance (PHI) is associated with much higher levels of administrative costs
than statutory public health insurance systems. This results from the extensive
bureaucracy involved in private insurance markets related to assessing risk,
setting premiums, designing benefits packages and reviewing claims. For
example, administrative costs of PHI in Germany, Luxembourg, the Netherlands
and France are about 10% of total costs, while in Austria, Belgium, Italy and
Portugal they may be up to 25% of costs (Mossialos and Thomson 2004). The costs
of administration are much lower for the statutory health insurance systems,
around 3-5% in most countries. It can be argued, therefore, that the additional
costs of administration associated with PHI could largely be avoided and thus
can be considered as inefficient.