The association between hospital volume and patient outcomes remains unclear for stroke. Little is known about whether these relationships differ by stroke subtypes.
To examine the association of hospital volume with in-hospital mortality and costs of care for stroke.
Secondary data analysis of national hospital database.
A total of 66,406 patients admitted between July 1 and December 31, 2010 with primary diagnosis of stroke at 796 acute care hospitals in Japan were included.
We used a locally weighted scatter-plot smoothing method to test the relationship between hospital volume and outcomes. On the basis of these results, we categorized patient volume into 3 groups (10–50, 51–100, and >100 discharges/6 mo). We tested the volume-outcome relationship using multivariable regression models adjusting for patient and hospital characteristics. Subgroup analysis was conducted by stratifying on stroke subtype.
Compared with those treated at high-volume hospitals (>100 discharges), patients admitted to low-volume hospitals (10–50 discharges) had higher in-hospital mortality (adjusted odds ratio, 1.45; 95% CI, 1.23–1.71, P<0.0001). In the lowest volume hospitals, adjusted costs of care per discharge were 8.0% lower (95% CI, −14.1% to −1.8%, P=0.01) compared with the highest volume hospitals. The volume-mortality association was significant across all stroke subtypes. Highest volume hospitals had higher costs than lowest volume hospitals for subarachnoid hemorrhage, but this association was nonsignificant for ischemic and hemorrhagic stroke.
Highest volume hospitals had lower mortality than the lowest volume hospitals for stroke in Japan. Highest volume hospitals had higher costs for subarachnoid hemorrhage, but not for ischemic and hemorrhagic stroke.
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*Harvard Interfaculty Initiative in Health Policy, Cambridge, MA
†Center for Clinical Epidemiology, St Luke’s Life Science Institute, Tokyo, Japan
‡Department of Epidemiology, Harvard School of Public Health, Boston, MA
Departments of §Health Management and Policy, Graduate School of Medicine
∥Health Economics and Epidemiology Research, School of Public Health, University of Tokyo, Tokyo, Japan
¶Department of Health Care Policy, Harvard Medical School, Boston, MA
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Supported by a Grant-in-Aid for Research on Policy Planning and Evaluation (H22-Policy-031 and, in part, H22-Policy-033) from the Ministry of Health, Labour and Welfare, Japan; by a Grant-in-Aid for Scientific Research B (No. 22390131) from the Ministry of Education, Culture, Sports, Science and Technology, Japan; and by the Funding Program for World-Leading Innovative R&D on Science and Technology (FIRST program) from the Council for Science and Technology Policy, Japan (No. 0301002001001). The Survey of Medical Institutions data use was approved by the Statistical Bureau, the Ministry of Health, Labour and Welfare, August 17, 2010 (No. 0817-6). Y.T. was supported by Joint Japan/World Bank Graduate Scholarship Program. The funding source had no role in the design, analysis, or interpretation of the study or in the decision to submit the manuscript for publication.
The authors declare no conflict of interest.
Reprints: Hideo Yasunaga, MD, PhD, Department of Health Management and Policy, Graduate School of Medicine, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 1138655, Japan. E-mail: email@example.com.