Association of hospital volume with readmission rates: a retrospective cross-sectional study

被引:0
作者
Horwitz, Leora I. [1 ,2 ]
Lin, Zhenqiu [3 ]
Herrin, Jeph [4 ,5 ]
Bernheim, Susannah [3 ,6 ]
Drye, Elizabeth E. [3 ,7 ]
Krumholz, Harlan M. [3 ,4 ,8 ]
Ross, Joseph S. [3 ,6 ,8 ]
机构
[1] NYU, Div Healthcare Delivery Sci, Dept Populat Hlth, Langone Med Ctr, New York, NY 10012 USA
[2] NYU, Sch Med, Ctr Healthcare Innovat & Delivery Sci, New York, NY USA
[3] Yale New Haven Med Ctr, Ctr Outcomes Res & Evaluat, New Haven, CT 06504 USA
[4] Yale Univ, Sch Med, Dept Med, Sect Cardiovasc Med, New Haven, CT 06510 USA
[5] Hlth Res & Educ Trust, Chicago, IL USA
[6] Yale Univ, Sch Med, Dept Med, Sect Gen Internal Med, New Haven, CT 06510 USA
[7] Yale Univ, Sch Med, Dept Pediat, New Haven, CT 06510 USA
[8] Yale Univ, Sect Hlth Policy & Adm, Sch Epidemiol & Publ Hlth, New Haven, CT USA
来源
BMJ-BRITISH MEDICAL JOURNAL | 2015年 / 350卷
基金
美国医疗保健研究与质量局;
关键词
BARIATRIC SURGERY; MORTALITY; CARE; QUALITY; OUTCOMES; PROGRAM;
D O I
10.1136/BMJ.h447
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
OBJECTIVE To examine the association of hospital volume (a marker of quality of care) with hospital readmission rates. DESIGN Retrospective cross-sectional study. SETTING 4651US acute care hospitals. STUDY DATA 6 916 644 adult discharges, excluding patients receiving psychiatric or medical cancer treatment. MAIN OUTCOME MEASURES We used Medicare fee-for-service data from 1 July 2011 to 30 June 2012 to calculate observed-to-expected, unplanned, 30 day, standardized readmission rates for hospitals and for specialty cohorts medicine, surgery/gynecology, cardiorespiratory, cardiovascular, and neurology. We assessed the association of hospital volume by quintiles with 30 day, standardized readmission rates, with and without adjustment for hospital characteristics (safety net status, teaching status, geographic region, urban/rural status, nurse to bed ratio, ownership, and cardiac procedure capability. We also examined associations with the composite outcome of 30 day, standardized readmission or mortality rates. RESULTS Mean 30 day, standardized readmission rate among the fifth of hospitals with the lowest volume was 14.7 (standard deviation 5.3) compared with 15.9 (1.7) among the fifth of hospitals with the highest volume (P < 0.001). We observed the same pattern of lower readmission rates in the lowest versus highest volume hospitals in the specialty cohorts for medicine (16.6 v 17.4, P < 0.001), cardiorespiratory (18.5 v 20.5, P < 0.001), and neurology (13.2 v 14.0, p = 0.01) cohorts; the cardiovascular cohort, however, had an inverse association (14.6 v 13.7, P < 0.001). These associations remained after adjustment for hospital characteristics except in the cardiovascular cohort, which became non-significant, and the surgery/gynecology cohort, in which the lowest volume fifth of hospitals had significantly higher standardized readmission rates than the highest volume fifth (difference 0.63 percentage points (95% confidence interval 0.10 to 1.17), P = 0.02). Mean 30 day, standardized mortality or readmission rate was not significantly different between highest and lowest volume fifths (20.4 v 20.2, P = 0.19) and was highest in the middle fifth of hospitals (range 20.6-20.8). CONCLUSIONS Standardized readmission rates are lowest in the lowest volume hospitals-opposite from the typical association of greater hospital volume with better outcomes. This association was independent of hospital characteristics and was only partially attenuated by examining mortality and readmission together. Our findings suggest that readmissions are associated with different aspects of care than mortality or complications.
引用
收藏
页数:9
相关论文
共 39 条
  • [31] Quality of care for acute myocardial infarction at urban safety-net hospitals
    Ross, Joseph S.
    Cha, Stephen S.
    Epstein, Andrew J.
    Wang, Yongfei
    Bradley, Elizabeth H.
    Herrin, Jeph
    Lichtman, Judith H.
    Normand, Sharon-Lise T.
    Masoudi, Frederick A.
    Krumholz, Harlan M.
    [J]. HEALTH AFFAIRS, 2007, 26 (01) : 238 - 248
  • [32] Hospital Volume and 30-Day Mortality for Three Common Medical Conditions
    Ross, Joseph S.
    Normand, Sharon-Lise T.
    Wang, Yun
    Ko, Dennis T.
    Chen, Jersey
    Drye, Elizabeth E.
    Keenan, Patricia S.
    Lichtman, Judith H.
    Bueno, Hector
    Schreiner, Geoffrey C.
    Krumholz, Harlan M.
    [J]. NEW ENGLAND JOURNAL OF MEDICINE, 2010, 362 (12) : 1110 - 1118
  • [33] Hospital Readmissions: Physician Awareness and Communication Practices
    Roy, Christopher L.
    Kachalia, Allen
    Woolf, Seth
    Burdick, Elisabeth
    Karson, Andrew
    Gandhi, Tejal K.
    [J]. JOURNAL OF GENERAL INTERNAL MEDICINE, 2009, 24 (03) : 374 - 380
  • [34] The Leapfrog Group, 2008, EV BAS HOSP REF FACT
  • [35] Variation in Surgical-Readmission Rates and Quality of Hospital Care
    Tsai, Thomas C.
    Joynt, Karen E.
    Orav, E. John
    Gawande, Atul A.
    Jha, Ashish K.
    [J]. NEW ENGLAND JOURNAL OF MEDICINE, 2013, 369 (12) : 1134 - 1142
  • [36] Does it matter what a hospital is "high volume" for? Specificity of hospital volume-outcome associations for surgical procedures: analysis of administrative data
    Urbach, DR
    Baxter, NN
    [J]. BRITISH MEDICAL JOURNAL, 2004, 328 (7442): : 737 - 740B
  • [37] Relationship between surgeon and hospital volume and readmission after bariatric operation
    Weller, Wendy E.
    Rosati, Carl
    Hannan, Edward L.
    [J]. JOURNAL OF THE AMERICAN COLLEGE OF SURGEONS, 2007, 204 (03) : 383 - 391
  • [38] The volume-outcome relation in the surgical treatment of esophageal cancer
    Wouters, Michel W. J. M.
    Gooiker, Gea A.
    van Sandick, Johanna W.
    Tollenaar, Rob A. E. M.
    [J]. CANCER, 2012, 118 (07) : 1754 - 1763
  • [39] Volume-Outcome Association in Bariatric Surgery A Systematic Review
    Zevin, Boris
    Aggarwal, Rajesh
    Grantcharov, Teodor P.
    [J]. ANNALS OF SURGERY, 2012, 256 (01) : 60 - 71