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(Stroke. 2009;40:18.)
© 2009 American Heart Association, Inc.
Original Contributions |
From Calgary Stroke Program, Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada. All authors are affiliated with the Calgary Stroke Program, a partnership between the Department of Clinical Neurosciences, Calgary Health Region and the Hotchkiss Brain Institute, University of Calgary.
Correspondence to Michael D. Hill, Associate Professor, Calgary Stroke Program, Department of Clinical Neurosciences, University of Calgary, Foothills Hospital, Rm 1242A, 1403 29th Street NW, Calgary, Alberta, T2N 2T9, Canada. E-mail michael.hill{at}calgaryhealthregion.ca
| Abstract |
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Methods— A retrospective study of 2 cohorts in the Foothills Medical Center in Calgary was conducted using administrative databases. We compared a cohort of stroke patients managed on general neurology/medical wards before 2001, with a similar cohort of stroke patients managed on a stroke unit after 2003. The length of stay was dichotomized after being centered to 7 days and the Charlson Index was dichotomized for analysis. Multivariable logistic regression was used to compare the length of stay and case fatality in 2 cohorts, adjusted for age, gender, and patient comorbid conditions defined by the Charlson Index.
Results— Average length of stay for patients on a stroke unit (n=2461) was 15 days vs 19 days for patients managed on general neurology/medical wards (n=1567). The proportion of patients with length of stay >7 days on general neurology/medical wards was 53.8% vs 44.4% on the stroke unit (difference 9.4%; P<0.0001). The adjusted odds of a length of stay >7 days was reduced by 30% (P<0.0001) on a stroke unit compared to general neurology/medical wards. Overall in-hospital case fatality was reduced by 4.5% with stroke unit care.
Conclusions— We observed a reduced length of stay and reduced in-hospital case-fatality in a stroke unit compared to general neurology/medical wards.
Key Words: case fatality Charlson Index length of stay stroke stroke unit
| Introduction |
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At our institution, before 2001, stroke patients were cared for on both the general neurology service and the general medical service. Approximately 50% of strokes were admitted to the general neurology service. In 2001, a multidisciplinary stroke unit was opened at Foothills Hospital, which serves as a tertiary stroke center for a referral population of
1.5 million. A majority of patients with stroke diagnosed are admitted directly to the unit from the emergency department. It is a comprehensive, dedicated stroke unit that provides both acute and rehabilitative care for patients who have had an acute stroke. The stroke unit exists in 2 locales: (1) a 12-bed high-observation unit shared by Neurology and Neurosurgery where stroke patients requiring invasive blood pressure monitoring, external ventricular drains, or who have received tissue plasminogen activator in the previous 48 hours are managed until they are stable enough to be moved to the larger subacute unit; (2) a main subacute stroke unit that began with 14 beds, expanded to 18 beds, and is staffed by a multidisciplinary team consisting of nurse practitioners, nurses, neurologists, rehabilitation physicians, social workers, medical staff, and occupational, physical, and speech therapists. This team is not a mobile stroke team but a dedicated group assigned to the stroke unit ward. Biweekly meetings are conducted with all staff to discuss patient progress and to facilitate discharge planning. Rehabilitation interventions begin immediately. Stroke thrombolysis was routinely available at Foothills Hospital during the entire study period. A key concept in understanding our stroke unit is that it is both a geographic locale and a dedicated team. Finally, patients with a diagnosis of subarachnoid hemorrhage were cared for by the general neurosurgical service and no changes in this model of care occurred over the 2 periods.
We assessed the length of stay and in-hospital case fatality between patients managed on the stroke unit and those managed on general neurology/medical wards (before the stroke unit) at the Foothills Medical Center to assess whether a stroke unit has the potential to reduce the length of stay and in-hospital case fatality.
| Materials and Methods |
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50% of stroke patients were admitted to the general neurology service and the remainder to the general medical service. After the establishment of the stroke unit in 2001, a run-in period was excluded from analysis to allow for protocols to be put in place and staff training to occur. After January 1, 2003, a majority of stroke patients were admitted to the stroke unit. Before fiscal year 2002–2003, medical centers in Alberta used the International Classification of Diseases, 9th Revision-Clinical Modification (ICD-9-CM) to code hospital discharge abstracts, whereas at the beginning of 2002, the 10th revision for the International Classification of Diseases (ICD-10) replaced ICD-9 province-wide. The new ICD-10 system is more comprehensive than ICD-9. Improvements in areas such as number of codes and an expanded external cause framework are expected to make the ICD-10 a more streamlined system.10,11 Stroke definitions are shown in Table 1.
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Modified Deyo-Charlson Index
The Deyo-Charlson Index is a weighted comorbidity index based on administrative coding of 17 disease states.12,13 It has been validated as a predictor of stroke mortality,14 and it has been used for risk adjustment of other outcomes including length of stay.13,15–17 For the cohort on the general neurology/medical wards (1998–2000), comorbid conditions were classified with a modified version of the Deyo-Charlson Index on the basis of hospital discharge ICD-9-CM codes. For the cohort in the stroke unit (2003–2005), comorbidities were defined by an ICD-10 coding algorithm, developed by Quans translation of the Charlson Index from the usage of ICD-9-CM codes18.
Each of the indicated diagnoses is assigned a weight to be summed to provide a patients total score. As described previously,14 diagnoses of cerebrovascular disease (weight 1) and hemiplegia (weight 2), which are included in the Deyo-Charlson Index, were excluded in the modified index for this study, because they are reflected in the condition being evaluated in stroke patients. We dichotomized the modified Deyo-Charlson Index according to the original index12 as low (modified Charlson Score <1) and high (modified Charlson Score >2).
Statistical Analysis
Data management and statistical analyses were performed using the STATA statistical package (Version 8.0; STATA Corporation). Data are shown using standard descriptive statistics. Continuous variables were compared with the t test for normally distributed variables. Categorical variables were compared with
2 test. Because the distribution of the length of stay in both cohorts is highly right-skewed, the length of stay was dichotomized after being centered to the median (7 days). The primary outcomes were total length of stay, length of stay >7 days or <7 days, and in-hospital case-fatality. Multivariable logistic regression models were fitted to the whole data set to adjust for the effects of prognostic variables for the assessment of the effect of stroke unit care on length of stay when 2 cohorts (stroke unit vs general neurology/medical wards) were compared. The prognostic variables included age, sex, and heterogeneity of patient comorbid conditions identified by dichotomized Deyo-Charlson Index and sum Deyo-Charlson score, respectively. The dependent variable was dichotomized length of stay. P<0.05 was considered statistically significant.
In secondary analysis, we fitted logistic regression models with 2-way interaction terms including related Charlson comorbidities (those individual comorbidity variables with significant probability values) to assess whether these comorbidities showed potential confounding or effect modification. In subgroup analysis, comparisons of length of stay were further evaluated within strata of stroke types and dichotomous Charlson Index.
To identify whether the in-hospital case fatality and length of stay in a stroke unit changed when compared with general neurology/medical wards, multivariable analyses adjusted for age, gender, and individual Charlson comorbidity were performed overall and by stroke type to estimate the impact of stroke unit care on in-hospital case fatality.
| Results |
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Average length of stay was longer in patients managed on general neurology/medical wards compared with those managed on the stroke unit (19 vs 15 days; Table 3). This shorter length of stay was observed in patients with low but not high modified Charlson Index (Table 3 and Figure 1). The proportion of overall patients with a length of stay >7 days was 9.4% (P<0.0001) greater on general/medical wards compared to the stroke unit. In analysis stratified by stroke type, we found that the stroke unit was associated with reduced length of stay for ischemia patients (AIS and TIA) but not for hemorrhagic stroke types (intracerebral hemorrhage and SAH; Figure 2A,B). The direction of effect was for reduced length of stay in intracerebral hemorrhage patients but the smaller sample size prevented a precise estimate. Thus, the increased proportion of TIA patients on the stroke unit does not account for the overall effect. In subgroup analysis, the proportion of AIS patients with a length of stay >7 days is 6.5% (P=0.0017) greater on general wards compared to the stroke unit. Similarly, the proportion of TIA patients with a length of stay >7 days is 10.6% less on the stroke unit (P<0.0001).
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On the stroke unit, 82% of patients had modified Charlson comorbidity scores of 0 or 1 vs 83% of patients in general neurology/medical wards had scores of 0 or 1 (P=0.36;
2 test). The Charlson Index predicted length of stay with higher scores being associated with longer length of stay. For patients with high Charlson Index, the stroke unit effect for ischemia (AIS and TIA) was muted but still present. For intracerebral hemorrhage and SAH, discordant and nonintuitive results were seen (Table 3, Figure 2b).
The adjusted odds of a length of stay >7 days was reduced by 22% (P<0.0001) on the stroke unit compared to general neurology/medical wards for all stroke patients, adjusted for age, gender, and dichotomized Charlson Index. AIS patients in stroke unit have 23% reduced adjusted odds (P<0.0001) and TIA patients in stroke unit have 50% reduced odds (P<0.0001) of having a length of stay >7 days compared to those AIS and TIA patients, respectively, in general wards. Every 1-point increase in the Charlson Index was associated with a 26% increase in the odds of a length of stay >7 days (stroke unit vs general neurology/medical wards; P<0.0001) adjusted for age and gender for overall patients. We noticed that there were 3 significant individual comorbidities (P<0.05) that predicted length of stay greater than 7 days. These were congestive heart, dementia, and peptic ulcer disease. However, none of them showed effect modification by cohort when interaction terms were further examined.
The in-hospital case fatality of stroke patients on general neurology/medical wards was 16.6% vs 12.1% on the stroke unit (difference 4.5%; P=0.0001). Stroke unit care significantly reduced overall in-hospital case fatality (adjusted OR, 0.70; P<0.0001). The adjusted OR for case fatality rate in hospital (stroke unit vs general neurology/medical wards) by each stroke type is similarly reduced for ischemic stroke types. For intracerebral hemorrhage, the direction of effect is a nonsignificant 8% reduction in case fatality with stroke unit care; no effect is evident for subarachnoid hemorrhage (Table 4).
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| Discussion |
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What might explain the different length of stay? There is no indication that the differences were attributable to patient differences, because there are comparable demographic characteristic and similar overall comorbid conditions (same average Charlson score and coordinate distribution of Charlson Index) among them. The distribution of TIA, intracerebral hemorrhage, and SAH were unbalanced in the 2 cohorts with a higher prevalence of TIA on the stroke unit. TIA patients naturally have a shorter length of stay. However, subgroup analyses by stroke type suggest that case mix is not the explanation.
The 2 cohorts were minimally unbalanced on several baseline comorbid conditions. However, we did not identify any evidence of effect modification by individual comorbid illnesses on length of stay after multivariable logistic regression analyses. The adjustment for individual comorbid factors suggested that the observed benefits of stroke unit care on the length of stay are more significant in ischemic stroke patients than in hemorrhagic stroke patients, and are independent of age, gender, and comorbid conditions. In addition, more patients overall were managed on the stroke unit compared to the general neurology/medical wards. This effect was almost entirely attributable to an average 4-day reduction in length of stay, allowing a greater throughput of patients on the stroke unit.
It is less clear why hemorrhage patients did not show a more dramatic effect. However, we believe our results on intracerebral hemorrhage simply lack precision. The direction of effect and magnitude of effect for both length of stay and case fatality are similar to those seen for ischemic stroke. For subarachnoid hemorrhage, there is no effect whatsoever. The most likely explanation is that SAH patients were cared for on the general neurosurgical service during both periods. In one sense the SAH patients functioned as a positive control and the lack of effect for SAH patients who were not exposed to any changes in their type of care is also concordant with the stroke unit effect. Alternately, SAH patients often remain in hospital for observation during the period when they are susceptible to vasospasm and this period, usually 21 days, is fixed because of the biology of the disease.
A key consideration is whether this shorter length of stay comes at the expense of patient outcomes. Patients who experience neurological death usually do so in the first few days after stroke resulting in a shorter length of stay. However, during the same period, Field et al19 have reported that in-hospital mortality from stroke of all types has fallen and readmission for recurrent stroke after TIA have decreased nearly 50% (Michael D. Hill, unpublished data, 2007). Consistently, we observed a significant reduction in mortality. This further bolsters our finding that management of stroke patients in a stroke unit is associated with a sustained reduction in length of hospital stay compared to general neurology/medical wards.
In any study of active clinical care in different period, other interventions in the evolution of care may be a source of residual confounding. During the period undergoing study, we have observed a gradual increase in the proportion of all stroke patients undergoing thrombolyses from <5% to 12% (Michael D. Hill, unpublished data, 2007). We have become more aggressive in admitting and investigating TIA patients because of new evidence identifying the high early risk of stroke that emerged during the study period. We have increased the size, personnel, and expertise of our team. The city of Calgary has experienced tremendous population growth over the period of study, which has brought increased volume to our service. All of these factors may be potential sources of residual confounding, as described by Davenport et al.20
However, the stroke unit effect, in part, is defined by the organization of care that has responded to these changes. It is robust and attributable to organization. Such organization improves care, hastens recovery, and reduces the need for inpatient rehabilitation. Inherent in such organization is discharge planning; biweekly meetings facilitate this process and ensure prompt discharge from acute care.
From the economic perspective of the hospital, shorter length of stay in the stroke unit as found in the present study appears promising. The principal costs of care relate to the bed-day costs. A study of another Canadian stroke unit21 suggested that a 2-day reduction in length of stay per stroke unit patient translates into a saving of more than $2.1 million per 1000 patients treated. This estimate would be doubled in our case, with a 4-day reduction in length of stay. At $1200 per hospital bed-day at our hospitals and 1000 patients per year, 5 years of stroke unit care has resulted in an estimated $24 million savings. Despite the Consensus Statement from the Brain Attack Coalition22 and several national bodies in Europe,23 United States,24 and Canada25 recommending that stroke unit care be widely implemented, organized stroke unit care is not yet widely available in Canada.26 This is changing with the evolution of the Canadian Stroke Strategy. Economic analyses should be conducted with attention to the full chain of care and not just length of say. However, given the potential cost-savings, it is remarkable that we have not accomplished more already.
Our perspective, taken from the point of view of the acute care hospital, is relevant for managing hospital resources. However, other perspectives may be important. If there is an overall increase in the time spent in managed care (ie, inpatient rehabilitation), then the only achievement is a shift in budget envelopes from acute care to rehabilitation. We believe that this is not the case for stroke unit care in Calgary. Approximately 20% of stroke unit patients in Calgary require and are discharged to an inpatient rehabilitation unit. Because of the nature of the Canadian system, limited inpatient rehabilitation bed resources mean that patients destined for rehabilitation wait in hospital and have the longest length of stay in the acute care hospital; in Calgary, on average, patients who go to inpatient rehabilitation have a length of stay that is 3 days longer. Further, we know that in the stroke literature, morbidity reduction parallels mortality reduction. The overall reduction in case fatality suggests that we have not made a trade-off of reducing length of stay only to have patients die outside of the stroke unit. Therefore, although we have focused on the hospital length of stay in this article, we believe the results represent the more generalizable, broad, positive effects of stroke unit care.
We are cognizant of the potential limitations of using administrative data sources. However, we have previously shown that Calgary administrative data coding is highly sensitive, specific, and reliable.27 A key limitation of any use of administrative data are the inability to adjust for baseline stroke severity. By stratifying our analysis by stroke type, we have mollified this concern. Further, we have no reason to believe that stroke severity, overall, was any different between the 2 cohorts. Finally, the modified version of the Charlson Index in our study ignored previous strokes, which may impact the undercoding of comorbid conditions among patients and biased the results toward lower significance.
In conclusion, our observations support the view that the multidisciplinary stroke unit, which focuses on both acute care and acute rehabilitation, has an independent effect on reducing length of stay. The effect is large and seems to imply the potential for large cost-savings, which may help administrators endorse the development of stroke unit care in North America. Such development should occur with prospective study to better-define the effect of stroke units in routine care/health service in the future.
| Acknowledgments |
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M.D.H. is funded by the Heart & Stroke Foundation of Alberta, NWT, NU, and the Canadian Institutes for Health Research. A.M.D. is funded by the Alberta Heritage Foundation for Medical Research. P.A.B. is funded by the Alberta Heritage Foundation for Medical Research and the Heart & Stroke Foundation of Alberta, NWT, NU. T.L.G. has been funded by the Heart & Stroke Foundation of Canada, the Canadian Stroke Network, the Alberta Heritage Foundation for Medical Research, and the FUTURE Program for Cardiovascular Nurse Scientists.
Disclosures
None.
Received June 1, 2008; accepted June 6, 2008.
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