(Stroke. 1997;28:1138-1141.)
© 1997 American Heart Association, Inc.
Articles |
From the Departments of Neurology (H.S.J., H.N., T.S.O.) and Radiology (H.O.R.), Bispebjerg Hospital, Copenhagen, Denmark.
Correspondence to Henrik Stig Jørgensen, MD, Department of Neurology, Bispebjerg Hospital, Bispebjerg Bakke 23, DK-2400 Copenhagen NV, Denmark.
| Abstract |
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Methods We determined the direct cost of stroke in the prospective, consecutive, and community-based stroke population of the Copenhagen Stroke Study by measuring the total LOHS in the 1197 acute stroke patients included in the study. All patients had all their acute care and rehabilitation on a dedicated stroke unit. Neurological impairment was measured by the Scandinavian Stroke Scale. Local nonmedical factors affecting the LOHS, such as waiting time for discharge to a nursing home after completed rehabilitation, were accounted for in the analysis. The influence of social and medical factors on the LOHS was analyzed in a multiple linear regression model.
Results The average LOHS was 27.1 days (SD, 44.1; range, 1 to 193), corresponding to a direct cost of $12.150 per patient including all acute care and rehabilitation. The LOHS increased with increasing stroke severity (6 days per 10-point increase in severity; P<.0001) and single marital status (3.4 days; P=.02). Death reduced LOHS (22.0 days; P<.0001). Age, sex, diabetes, hypertension, claudication, ischemic heart disease, atrial fibrillation, former stroke, other disabling comorbidity, smoking, daily alcohol consumption, and the type of stroke (hemorrhage/infarct) had no independent influence on LOHS.
Conclusions Acute care and rehabilitation of unselected patients on a dedicated stroke unit takes on average 4 weeks. In general, comorbidity such as diabetes or heart disease does not increase LOHS. Efforts to reduce costs should therefore aim at reducing initial stroke severity or improving the rate of recovery.
Key Words: costs and cost analysis risk factors stroke, acute stroke units
| Introduction |
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The direct cost of stroke is largely determined by the length of hospital stay (LOHS). An estimated 93% of the direct cost of hospital treatment of stroke patients is accounted for by hospital overhead and nurses' salaries, while only the remaining 7% are accounted for by the salaries of physicians and therapists and the costs of investigations and drugs.13 The direct cost can therefore be measured in units (days) of in-hospital care. Such information may have international applicability if stratified according to initial stroke severity and obtained from a dedicated stroke unit delivering total care and rehabilitation to unselected stroke patients. This treatment has been shown superior and more cost-effective than treatment on general medical and neurological wards.14
Information concerning the influence of various social and medical factors, such as initial stroke severity, age, sex, marital status, diabetes, hypertension, ischemic heart disease, and other disabling comorbidity, on LOHS is needed to reduce cost.
The Copenhagen Stroke Study offers a unique opportunity to explore the direct costs of acute stroke care and rehabilitation and its clinical determinants in a large, unselected stroke population: It includes all hospitalized patients from a well-defined catchment area of Copenhagen with a high admission rate. All patients from this area received all their acute care and rehabilitation on a dedicated stroke unitregardless of the patient's age, stroke severity, and premorbid conditionuntil discharge to the patient's own home, to a nursing home, or death. Patients were stratified according to the initial severity of the stroke. Confounding nonmedical local factors influencing the LOHS were appropriately considered, such as delay in discharge due to waiting time for a place in a nursing home or waiting time for installations, alterations, and aids in the patient's own home.
| Subjects and Methods |
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Rehabilitation therapy was given daily to all patients needing it by the nursing staff, physiotherapists, and occupational therapists within the stroke unit. The need for rehabilitation was evaluated initially in all patients by the physician, the physiotherapist, and the occupational therapist and when needed also by the speech therapist and the neuropsychologist. Rehabilitation was initiated immediately. The needs of the patient, the specific goals set for the patient, and the rehabilitation achievement were discussed weekly by the multidisciplinary team. Rehabilitation was completed within the stroke unit, after which patients were discharged either to their homes or to a nursing home. Patients were not discharged until further in-hospital improvement was considered unlikely by the team. Patients were clinically evaluated at a 6-month follow-up, and no difference was found in the degree of neurological impairment between discharge and the follow-up.16 Only 69 patients (6%) received outpatient rehabilitation after discharge (mean duration, 4.5 weeks; mean number of visits, 2.7 per week).
The total LOHS (in days) was registered. Time spent in the hospital for nonmedical reasons after completed rehabilitationie, local factors such as waiting time on the stroke unit for a place in a nursing home or waiting time for aids or alterations in the patient's own homewas registered in each patient to calculate the actual LOHS used for acute care and rehabilitation. Although waiting time for a nursing home may be a worldwide problem, the actual time spent on waiting may differ substantially from region to region. It was therefore decided not to include this nonmedical part of the hospital stay in the analyses. The decision concerning the time point at which the patients had completed their rehabilitation and were then awaiting a nursing home was made at the team conferences, which were held weekly.
Definitions and sampling of demographic data, risk factors, and comorbidity have been reported previously.17 Initial stroke severity was assessed on admission by the Scandinavian Stroke Scale (SSS).18 19 This scale evaluates level of consciousness; eye movement; power in hand, arm, and leg; orientation; aphasia; facial paresis; and gait. Total score ranges from 0 to 58 (maximum) points. The subtype of stroke (hemorrhage/infarct20 ) was determined by CT scan or autopsy in 1000 (84%) of the cases.
ANOVA was used to compare LOHS between groups. A multivariate linear regression model was used to determine factors with an independent influence on the LOHS. All variables of interest were entered as covariates in the model. The analysis was performed with the use of the backward procedure. Only values of P<.05 were considered significant. The study was approved by the Ethics Committee of Copenhagen.
| Results |
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LOHS and Cost for Acute Care and In-Hospital
Rehabilitation
Mean LOHS was 37.4 days (SD, 44.1; range, 1 to 289 days).
Twenty-seven percent of the LOHS was explained by local nonmedical
reasons, ie, mainly time spent on the stroke unit after completed
rehabilitation waiting for a place in a nursing home. The LOHS adjusted
for nonmedical delay in discharge was 27.1 days (SD, 26.9; range, 1 to
193 days). This adjusted LOHS is used in the calculations mentioned
below. At Bispebjerg Hospital the average cost per bed-day for each
department is calculated each year (Bispebjerg Hospital Takstkatalog,
unpublished data, 1994). The cost on the stroke unit was 2.692 Danish
kroner ($450 [US]) per bed-day in 1993, corresponding to an average
cost of 72.950 Danish kroner ($12.150 [US]) per treated stroke
patient including all acute care and in-hospital rehabilitation.
Determinants of LOHS
A multivariate linear regression model was created
to determine independent explanatory factors for the LOHS. The adjusted
LOHS was used as the independent variable. The following
variables were entered as covariates: age, sex, marital status
(single-widowed/married), diabetes, hypertension, claudication,
ischemic heart disease, atrial fibrillation, former stroke,
other disabling comorbidity, smoking, daily alcohol consumption,
initial stroke severity, type of stroke (hemorrhage/infarct),
and death during hospital stay.
Initial stroke severity, marital status, and death during hospital stay were explanatory factors for LOHS, whereas other factors such as age, sex, stroke type, or any of the stroke risk factors included in the model had no independent influence on LOHS. A 1-point increase in initial stroke severity (decrease in SSS score) corresponded to an increase in LOHS by 0.6 day (regression coefficient=0.6, SE=0.05, P<.0001), single marital status corresponded to an increase in LOHS by 3.4 days (regression coefficient=3.4, SE=1.6, P=.02), and death during hospital stay decreased LOHS by 22.0 days (regression coefficient=-22.0, SE=2.4, P<.0001).
LOHS Stratified According to Initial Stroke Severity
The Figure
shows the LOHS stratified according to
initial stroke severity. It appears from the Figure
that the LOHS
increases with increasing stroke severity (decreasing SSS score) until
the initial SSS score reaches 25 points. In the most severe strokes
LOHS decreases with increasing stroke severity. That LOHS decreases
with increasing stroke severity is explained by an increased mortality
in patients with the most severe strokes, resulting in a shorter mean
LOHS. This is illustrated by the graph in the Figure
depicting LOHS in
survivors. A repetition of the aforementioned
multivariate regression analysis of explanatory
factors for LOHS, including only patients with an initial SSS score of
25 points, showed that in these patients an increase in initial
stroke severity (decrease in SSS score) of 1 point increased the LOHS
by a mean of 1.1 days (regression coefficient=1.1, SE=0.09,
P<.0001). A similar analysis including only
patients with an initial SSS score of <25 points showed that the
initial stroke severity in this group had no independent influence on
LOHS; the all-important factor for LOHS was whether they survived
(survival increased LOHS by a mean of 33.5 days [regression
coefficient=33.5, SE=3.8, P<.0001]).
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| Discussion |
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The effective LOHS of 27.1 days per stroke patient can also be used in planning new stroke units. Local conditions such as variation in admission profile, mortality rate, and discharge delay due to nonmedical factors, ie, waiting time for a place in a nursing home, should be considered.
Previous studies have shown that stroke is one of the disorders in the
western hemisphere with the highest cost to society.4
Because stroke is largely a disease of the elderly, many patients have
other diseases at the time of stroke. However, comorbidity such as
ischemic heart disease, hypertension, atrial fibrillation,
diabetes, and lifestyle factors (daily alcohol consumption, smoking)
had no independent influence on LOHS. Although concurrent disease may
require treatment during hospital stay, such treatment does not seem to
increase the LOHS. Age, sex, and stroke type
(hemorrhage/infarct) per se did not influence LOHS either. This
confirms previous findings.20 22 Factors that did
influence LOHS were initial stroke severity, marital status, and death.
Death most often occurs early after stroke,23 which may
explain why death decreases LOHS by more than 3 weeks. Why marital
status per se decreases the LOHS is unknown. It may be speculated that
a spouse at home increases the patient's motivation for early
discharge. Both initial stroke severity and death rate are factors that
may be influenced by treatment with thrombolytics and
neuroprotective agents.24 In this study we found that a
decrease in initial stroke severity by 5 points on the SSS score in
patients with a score of
25 points corresponded to a decrease in LOHS
by almost 1 week. Thus, medical treatment may reduce LOHS substantially
in patients with mild or moderate strokes.
In conclusion, treatment of unselected stroke patients on a dedicated stroke unit takes on average 4 weeks. In Denmark this corresponds to a cost of approximately $12.150 per patient. The only medical factor that influenced LOHS was initial stroke severity. In general, treatment of concurrent diseases such as hypertension, diabetes, and heart disease did not influence the LOHS. Efforts to reduce the direct cost of stroke should therefore aim at reducing initial stroke severity or improving the rate of recovery.
| Acknowledgments |
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Received September 13, 1996; revision received March 7, 1997; accepted March 7, 1997.
| References |
|---|
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|
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2. Carstairs V. Stroke: resources, consumption and the costs to the community. In: Gillingham FJ, Maudsley C, Williams E, eds. Stroke. London, England: Churchill Livingstone Inc; 1976:516-528.
3. Mills E, Thompson M. The economic costs of stroke in Massachusetts. N Engl J Med. 1978;291:326-329.
4.
Hartunian N, Smart C, Thompson M. The incidence
and economic costs of cancer, motor vehicle injuries, coronary
heart disease and stroke. Am J Public Health. 1980;70:1249-1260.
5. Adelman SM. The economic impact: National Survey of Stroke. Stroke. 1981;12(suppl I):I-69-I-78.
6. Goldstein M. Cerebrovascular epidemiology: economic factors. J Neurosurg. 1983;10:160-164.
7. Terént A. Medico-social consequences and direct costs of stroke in a Swedish community. Scand J Rehabil Med. 1983;15:165-171.[Medline] [Order article via Infotrieve]
8. Drummond M, Ward G. The financial burden of stroke and the economic evaluation of treatment alternatives. In: Rose FC, ed. Stroke: Epidemiological, Therapeutic and Socioeconomic Aspects. London, England: Royal Society of Medicine Services Ltd; 1986:147-162.
9. Persson U, Silverberg R, Lindgren B, Norrving B, Jadbäck G, Johansson B, Puranen BI. Direct costs of stroke for a Swedish population. Int J Technol Assess Health Care. 1990;6:125-137.[Medline] [Order article via Infotrieve]
10. Thorngren M, Westling B. Utilization of health care resources after stroke: a population-based study of 258 hospitalized cases followed during the first year. Acta Neurol Scand. 1991;84:303-310.[Medline] [Order article via Infotrieve]
11. Iusard P, Forbes J. The cost of stroke to the National Health Service in Scotland. Cerebrovasc Dis. 1992;2:47-50.
12. Terént A, Marké LÅ, Asplund K, Norrving B, Jonsson E, Wester PO. Costs of stroke in Sweden: a national perspective. Stroke. 1994;25:2363-2369.[Abstract]
13.
Dennis M, Langhorne P. So stroke units save
lives: where do we go from here? BMJ. 1994;309:1273-1277.
14.
Jørgensen HS, Nakayama H, Raaschou HO, Larsen K,
Hübbe P, Olsen TS. The effect of a stroke unit: reductions
in mortality, discharge rate to nursing home, length of hospital stay,
and cost: a community-based study. Stroke. 1995;26:1178-1182.
15.
Jørgensen HS, Plesner AM, Hübbe P, Larsen
K. Marked increase of stroke incidence in men between 1972 and
1990 in Frederiksberg, Denmark. Stroke. 1992;23:1701-1704.
16. Jørgensen HS, Nakayama H, Raaschou HO, Vive-Larsen J, Støier M, Olsen TS. Outcome and time course of recovery in stroke, part I: outcome: the Copenhagen Stroke Study. Arch Phys Med Rehabil. 1995;76:399-405.[Medline] [Order article via Infotrieve]
17. Jørgensen HS, Nakayama H, Raaschou HO, Olsen TS. Effect of blood pressure and diabetes on stroke in progression. Lancet. 1994;344:156-159.[Medline] [Order article via Infotrieve]
18.
Scandinavian Stroke Study Group. Multicenter trial of
hemodilution in ischemic stroke: background and study protocol.
Stroke. 1985;16:885-890.
19. Lindenstrøm E, Boysen G, Christiansen LW, á Rogvi-Hansen B, Nielsen BW. Reliability of Scandinavian Stroke Scale. Cerebrovasc Dis. 1991;1:103-107.
20. Jørgensen HS, Nakayama H, Raaschou HO, Olsen TS. Intracerebral hemorrhage versus infarction: stroke severity, risk factors, and prognosis. Ann Neurol. 1995;38:45-50.[Medline] [Order article via Infotrieve]
21.
Indredavik B, Bakke F, Solberg F, Rokseth R, Haaheim
LL, Holme I. Benefit of a stroke unit: a randomized controlled
trial of a stroke rehabilitation ward. Stroke. 1991;22:1026-1031.
22. Nakayama H, Jørgensen HS, Raaschou HO, Olsen TS. The influence of age on stroke outcome: the Copenhagen Stroke Study. Stroke. 1994;25:808-813.[Abstract]
23.
Silver FL, Norris JW, Lewis AJ, Hachinski VC.
Early mortality following stroke: a prospective review.
Stroke. 1984;15:492-496.
24.
The National Institute of Neurological Disorders and
Stroke rt-PA Stroke Study Group. Tissue plasminogen
activator for acute ischemic stroke. N
Engl J Med.. 1995;333:1581-1587.
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