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Demographic and epidemiological determinants of healthcare costs in Netherlands: cost of illness study

BMJ 1998; 317 doi: http://dx.doi.org/10.1136/bmj.317.7151.111 (Published 11 July 1998) Cite this as: BMJ 1998;317:111
  1. Willem Jan Meerding (meerding{at}mgz.fgg.eur.nl), health economista,
  2. Luc Bonneux, medical epidemiologista,
  3. Johan J Polder, health economista,
  4. Marc A Koopmanschap, health economistb,
  5. Paul J van der Maas, professor of public healtha
  1. a Department of Public Health, Faculty of Medicine and Health Sciences, Erasmus University Rotterdam, Netherlands
  2. b Institute of Medical Technology Assessment, Department of Health Policy and Management, Erasmus University Rotterdam, Netherlands
  1. Correspondence to: Dr Meerding
  • Accepted 19 February 1998

abstract

Objectives: To determine the demands on healthcare resources caused by different types of illnesses and variation with age and sex.

Design: Information on healthcare use was obtained from all 22 healthcare sectors in the Netherlands. Most important sectors (hospitals, nursing homes, inpatient psychiatric care, institutions for mentally disabled people) have national registries. Total expenditures for each sector were subdivided into 21 age groups, sex, and 34 diagnostic groups.

Setting: Netherlands, 1994.

Main outcome measures: Proportion of healthcare budget spent on each category of disease and cost of health care per person at various ages.

Results: After the first year of life, costs per person for children were lowest. Costs rose slowly throughout adult life and increased exponentially from age 50 onwards till the oldest age group (95). The top five areas of healthcare costs were mental retardation, musculoskeletal disease (predominantly joint disease and dorsopathy), dementia, a heterogeneous group of other mental disorders, and ill defined conditions. Stroke, all cancers combined, and coronary heart disease ranked 7, 8, and 10, respectively.

Conclusions: The main determinants of healthcare use in the Netherlands are old age and disabling conditions, particularly mental disability. A large share of the healthcare budget is spent on long term nursing care, and this cost will inevitably increase further in an ageing population. Non-specific cost containment measures may endanger the quality of care for old and mentally disabled people.

Key messages

  • Little is known about demands for health care outside acute sectors

  • In the Netherlands health costs are strongly age dependent, increasing exponentially after age 50

  • The five highest healthcare costs are for mental retardation, musculoskeletal disease, dementia, other mental disorders, and ill defined conditions

  • Coronary heart disease, all cancers, and stroke accounted for only 9% of costs

  • The main healthcare costs are for care not cure and costs are likely to increase rapidly in an ageing society

Introduction

The debate on containing the cost of health care is mainly focused on the supply side and the financing of health care.1 Little attention is given to changes in population health, which is another important determinant of costs. This may be because the relation between disease and costs is not straightforward and relevant data are often lacking. We therefore subdivided total healthcare costs in the Netherlands by healthcare sector, diagnosis, age, and sex to determine which illnesses and age groups have the greatest demand for care. The Dutch healthcare budget is ideal for this type of analysis since the country is small, more than 99% of its population has full health insurance cover, and because of a longstanding administrative tradition most healthcare sectors have excellent registries, of which the most important are national. The completeness of Dutch healthcare data has allowed us to include not only the acute care sectors but also those sectors which deliver long term care to disabled people. Long term care is rarely included in other studies,25 which consequently underestimate the high costs of disabling disease.

Methods

We used data on healthcare costs for each care sector from the Ministry of Health for 1994 (table 1).6 Additional personal expenditures, such as over the counter medicines and spectacles (6% of all costs), were not included.

Table 1.

Percentage of healthcare budget spent on different sectors of care in Netherlands, 1994

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We clustered the diagnoses of the international classification of diseases (ICD, 9th revision)7 into 34 diagnostic groups, which can be regrouped into the 17 chapters of the ICD (table 2). We defined groups of diagnoses to minimise misclassification between diagnostic groups and so that each group would be large enough to describe a sufficiently large proportion of healthcare costs. Conditions that could not be related to a specific diagnostic group but that are unambiguously related to a specific functional system (cardiovascular, respiratory, mental, etc) were assigned to the remainder group of that specific ICD chapter. Ill defined conditions which could not be related to a specific ICD chapter were classified as “symptoms and ill defined conditions” (ICD chapter 16). This is particularly relevant in primary health care, where patients present with problems not diagnoses. To avoid double counting we have considered only primary diagnoses.

Table 2.

Diagnostic groups used in study and corresponding ICD 9 code7

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Of all healthcare costs, 8.1% could not be allocated to any diagnostic group because of insufficient information from some smaller healthcare sectors and 5.3% are for healthcare administration and are not related to specific health problems. Together with the living costs in old people's homes, these costs were assigned to non-specific healthcare costs.

For each healthcare sector we identified key variables that are representative of healthcare use in that sector, such as days of stay for nursing costs in hospitals and nursing homes or outpatient visits for costs of outpatient hospital care. We divided each sector by sex, 21 age groups (0, 1-4, 5-9, 10-14, …95 years), and 34 diagnostic clusters to give 1428 cells (2 × 21× 34). We considered the distribution of the costs to be the same as the distribution of the key variable for that sector. Thus, for each healthcare sector costs for each combination of age, sex, and diagnostic group were calculated as the proportion of the key variable in the relevant cell times the total costs for the sector.

The probability distribution of key variables was derived from sector specific registries and sample surveys. Detailed information about the registries and the key variables used is available in a report8 and on our web page: http://www.eur.nl/fgg/mgz/.

Results

Total healthcare costs, representing 9.7% of the Dutch gross national product, were £1381 ($2124) per capita in 1994, £1613 ($2481) for women and £1144 ($1760) for men. The distribution is strongly age dependent (figure). Costs are relatively high in the first year of life, reflecting the high costs of perinatal and infant care, but then drop to the lowest levels in childhood. During adulthood costs increase slowly, and after age 50 they start to increase exponentially up to the highest age group (95). The higher share in total costs of women (59%) is predominantly caused by their longer life expectancy, the higher prevalence of women in nursing homes and homes for elderly people, and the high costs of reproduction (including contraception and diseases of the genital organs).

Figure1

Total and per capita healthcare costs by age and sex for hospital and long term care in Netherlands, 1994. Long term care includes nursing homes, old people's homes, institutional care for disabled people, and appliances to assist disabled people. In 1994 $1=£0.65

Table 3 shows the share in total costs of diagnostic groups by sex (table 3). A high proportion of healthcare costs are for mental disorders. Mental retardation ranks 1, dementia ranks 3, depression and anxiety ranks 15, schizophrenia 23, alcohol and drug misuse 31, and the heterogeneous remainder group of mental disorders ranks 4. All mental disorders together cover 28.4% of the healthcare budget that could be allocated to diagnostic groups. Ill defined conditions, which include many psychosomatic problems, rank 5. Musculoskeletal diseases (predominantly all types of arthritis) rank 2. Dental diseases (predominantly dentists' costs) rank 6. The main causes of death—that is, stroke, all cancers combined, and coronary heart disease—rank 7, 8, and 10, respectively. Among women, costs of reproduction rank 6.

Table 3.

Healthcare costs by diagnostic group and sex, Netherlands 1994, ranked by share (in % of total healthcare costs)

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Table 4 shows the 15 diagnostic categories with the highest healthcare expenditure for five age groups. In all age groups either mental retardation or dementia is the main healthcare cost. In children cognitive disability ranks second but congenital diseases also cover many mentally disabling conditions. Among younger adults (age 15-44) the heterogeneous remainder group of mental disorders is second and schizophrenia, depression, and alcohol and drug related problems all rank among the top 15. Musculoskeletal diseases rank among the top five in all age groups after age 14, and ill defined conditions rank among the top six in all age groups. In the oldest age group (85) stroke is second and accidental falls (predominantly hip fractures) third. All cancers reach the top five only in the 65-84 age group and coronary heart disease only in middle age (age 45-64).

Table 4.

Fifteen diagnostic groups* accounting for highest percentage of healthcare costs for five age groups, Netherlands 1994

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Discussion

In the Netherlands healthcare costs are dominated by old age and by disability, particularly mental disability and musculoskeletal diseases. The amount of the healthcare budget spent on the main fatal diseases is relatively modest: all cardiovascular diseases and all cancers, which together cause 67% of all deaths, accounted for only 17% of all healthcare costs that could be allocated to a diagnostic group.

These results have to be interpreted with caution. Less attention should be paid to the exact share of costs spent on each diagnostic group than to the patterns of distribution which emerge from these data. Firstly, the key variables used to break down costs are generally not collected for epidemiological purposes, but in the Netherlands there is no financial incentive to register one diagnosis rather than another. We considered only primary diagnoses. It is beyond the limits of the method used to assign costs appropriately to the primary as well as each secondary diagnosis. Valid information about secondary diagnoses is generally lacking or incomplete. As a result, costs of diagnoses that are more often registered as secondary or tertiary, such as diabetes, are slightly underestimated. However, the registered primary diagnosis is generally the more important diagnosis for the healthcare sector concerned and the main reason why health care is needed—for example, what the internist calls osteoporosis is for the surgeon a hip fracture, for the ambulance service an accidental fall, and for the nursing home a demented patient. The advantage of our method is that each guilder is allocated to only one combination of age, sex, and diagnostic group, avoiding double counting.

Secondly, the key variables used to break down costs for each healthcare sector do not represent exactly equal amounts of resources. Not all days of stay in hospitals or nursing homes are equally expensive, some hours of care are more labour intensive than others, and outpatient visits or primary care consultations can vary in length. As a result, costs of some diagnoses may be biased. For example, because hospital nursing costs are broken down by bed days without any differentiation, costs of diagnoses for which relatively more days are spent in intensive care will be slightly underestimated and vice versa. These limitations, however, will not affect our main findings, such as the exponential increase in per capita costs by age or the heavy burden of mental disorders.

Comparability

Our study's biggest strength is its comprehensiveness. This explains why our results seem at variance with an American (Medicare) study that shows decreasing costs at the oldest ages.2 The American study did not include long term home care for elderly people or care in nursing and old people's homes. It is these costs which cause the exponential increase in costs in old age. Like the American study we found that costs for acute admissions in hospital decrease at the oldest ages (figure 1). Most of these patients are already admitted to a nursing home or are too old or too ill to consider hospital admission useful. A Swedish study, which is older and less complete, showed the same results.9

Our findings correspond largely with those of our earlier study in 1988. 10 11 Studies that are more or less comparable have been published in England,3 Australia,4 and Canada.5 These studies show basically similar cost patterns but with lower shares, particularly for mental retardation and dementia. However, they either did not consider all health care, particularly long term psychiatric care, 3 4 or could not assign these costs to diagnoses.5 Apart from the degree of comprehensiveness, many other methodological and country specific issues may cause differences in cost distributions. A serious international comparison of distribution of cost of illness would require specifically designed cross national studies.

Our study considered only medical costs and not costs of informal care. It has been estimated that if informal care in the Netherlands was entirely substituted by professional care it would double the current costs of professional home care.12 Informal care mainly substitutes for simple forms of professional care. If these costs had been included the total costs of chronic, disabling conditions such as dementia and musculoskeletal disease would have been even more dominant, thus strengthening our conclusions.

The share of costs accounted for by fatal diseases is relatively small because care stops at death. Disability is the main reason why people use health care. The pattern of epidemiological causes of costs that we found is remarkably consistent with Murray and Lopez's estimates of the main causes of disability in the developed world. 13 14 In 1990 they estimated that mental disorders (including dementia and hereditary disorders of the central nervous system) accounted for 35.5% of life years lived with disability. In our study, the same disorders, including congenital anomalies, accounted for 28.4% of all healthcare costs that could be allocated to diagnostic groups. Musculoskeletal diseases, including arthritis and dorsopathy, caused 7.3% of the allocated healthcare costs, while Murray and Lopez estimated that osteoarthritis covered 6.1% of the life years lived with disability.

The costs presented here are grouped cross sectional figures. Each age group contains people with low or no costs and those with high costs due to costly interventions, severe disability, or impending death. In higher age groups more people have high costs, causing costs per person to rise. The cost distribution by age is informative, especially for societies that face a further ageing of the population. Since the distribution of costs is determined by the current prevalence of disease and disability, future healthcare costs will depend (among other things) on the evolution of the risk of disability and death by age.

We conclude that healthcare costs in the Netherlands are strongly determined by old age and disability. In future the ageing of society will undoubtedly increase healthcare needs. When talking about cost containment in health care we should not forget that large shares of the budgets are not spent on cure but on care. Long term care of old, frail, and mentally disabled people will always be labour intensive and expensive but is the hallmark of a civilized society.

Acknowledgments

Contributors: All authors contributed substantially to the conception, design, and interpretation of data. WJM and JJP have been the executives of the study, analysed all data, and together with LB wrote a report on it. WJM drafted the article and all other authors made comments on it. LB and PJvdM are the guarantors.

Funding: Dutch Ministry of Health, Welfare, and Sports and Health Care Information Centre (SIG).

Conflict of interest: None.

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