Literature DB >> 22416099

Association of hospital spending intensity with mortality and readmission rates in Ontario hospitals.

Therese A Stukel1, Elliott S Fisher, David A Alter, Astrid Guttmann, Dennis T Ko, Kinwah Fung, Walter P Wodchis, Nancy N Baxter, Craig C Earle, Douglas S Lee.   

Abstract

CONTEXT: The extent to which better spending produces higher-quality care and better patient outcomes in a universal health care system with selective access to medical technology is unknown.
OBJECTIVE: To assess whether acute care patients admitted to higher-spending hospitals have lower mortality and readmissions. DESIGN, SETTING, AND PATIENTS: The study population comprised adults (>18 years) in Ontario, Canada, with a first admission for acute myocardial infarction (AMI) (n = 179,139), congestive heart failure (CHF) (n = 92,377), hip fracture (n = 90,046), or colon cancer (n = 26,195) during 1998-2008, with follow-up to 1 year. The exposure measure was the index hospital's end-of-life expenditure index for hospital, physician, and emergency department services. MAIN OUTCOME MEASURES: The primary outcomes were 30-day and 1-year mortality and readmissions and major cardiac events (readmissions for AMI, angina, CHF, or death) for AMI and CHF.
RESULTS: Patients' baseline health status was similar across hospital expenditure groups. Patients admitted to hospitals in the highest- vs lowest-spending intensity terciles had lower rates of all adverse outcomes. In the highest- vs lowest-spending hospitals, respectively, the age- and sex-adjusted 30-day mortality rate was 12.7% vs 12.8% for AMI, 10.2% vs 12.4% for CHF, 7.7% vs 9.7% for hip fracture, and 3.3% vs 3.9% for CHF; fully adjusted relative 30-day mortality rates were 0.93 (95% CI, 0.89-0.98) for AMI, 0.81 (95% CI, 0.76-0.86) for CHF, 0.74 (95% CI, 0.68-0.80) for hip fracture, and 0.78 (95% CI, 0.66-0.91) for colon cancer. Results for 1-year mortality, readmissions, and major cardiac events were similar. Higher-spending hospitals had higher nursing staff ratios, and their patients received more inpatient medical specialist visits, interventional (AMI cohort) and medical (AMI and CHF cohorts) cardiac therapies, preoperative specialty care (colon cancer cohort), and postdischarge collaborative care with a cardiologist and primary care physician (AMI and CHF cohorts).
CONCLUSION: Among Ontario hospitals, higher spending intensity was associated with lower mortality, readmissions, and cardiac event rates.

Entities:  

Mesh:

Year:  2012        PMID: 22416099      PMCID: PMC3339410          DOI: 10.1001/jama.2012.265

Source DB:  PubMed          Journal:  JAMA        ISSN: 0098-7484            Impact factor:   56.272


  44 in total

1.  The relation between the availability of neonatal intensive care and neonatal mortality.

Authors:  David C Goodman; Elliott S Fisher; George A Little; Thérèse A Stukel; Chiang-hua Chang; Kenneth S Schoendorf
Journal:  N Engl J Med       Date:  2002-05-16       Impact factor: 91.245

2.  Hospital spending and inpatient mortality: evidence from California: an observational study.

Authors:  John A Romley; Anupam B Jena; Dana P Goldman
Journal:  Ann Intern Med       Date:  2011-02-01       Impact factor: 25.391

3.  Nurse-staffing levels and the quality of care in hospitals.

Authors:  Jack Needleman; Peter Buerhaus; Soeren Mattke; Maureen Stewart; Katya Zelevinsky
Journal:  N Engl J Med       Date:  2002-05-30       Impact factor: 91.245

4.  Impact of hospital nursing care on 30-day mortality for acute medical patients.

Authors:  Ann E Tourangeau; Diane M Doran; Linda McGillis Hall; Linda O'Brien Pallas; Dorothy Pringle; Jack V Tu; Lisa A Cranley
Journal:  J Adv Nurs       Date:  2007-01       Impact factor: 3.187

5.  Nurse staffing and inpatient hospital mortality.

Authors:  Jack Needleman; Peter Buerhaus; V Shane Pankratz; Cynthia L Leibson; Susanna R Stevens; Marcelline Harris
Journal:  N Engl J Med       Date:  2011-03-17       Impact factor: 91.245

6.  Development and validation of the Ontario acute myocardial infarction mortality prediction rules.

Authors:  J V Tu; P C Austin; R Walld; L Roos; J Agras; K M McDonald
Journal:  J Am Coll Cardiol       Date:  2001-03-15       Impact factor: 24.094

7.  Relationship between annual volume of patients treated by admitting physician and mortality after acute myocardial infarction.

Authors:  J V Tu; P C Austin; B T Chan
Journal:  JAMA       Date:  2001-06-27       Impact factor: 56.272

8.  The implications of regional variations in Medicare spending. Part 1: the content, quality, and accessibility of care.

Authors:  Elliott S Fisher; David E Wennberg; Thérèse A Stukel; Daniel J Gottlieb; F L Lucas; Etoile L Pinder
Journal:  Ann Intern Med       Date:  2003-02-18       Impact factor: 25.391

9.  The implications of regional variations in Medicare spending. Part 2: health outcomes and satisfaction with care.

Authors:  Elliott S Fisher; David E Wennberg; Thérèse A Stukel; Daniel J Gottlieb; F L Lucas; Etoile L Pinder
Journal:  Ann Intern Med       Date:  2003-02-18       Impact factor: 25.391

10.  Specialty of ambulatory care physicians and mortality among elderly patients after myocardial infarction.

Authors:  John Z Ayanian; Mary Beth Landrum; Edward Guadagnoli; Peter Gaccione
Journal:  N Engl J Med       Date:  2002-11-21       Impact factor: 91.245

View more
  43 in total

1.  Discharge destination following hip fracture in Canada among previously community-dwelling older adults, 2004-2012: database study.

Authors:  L Beaupre; B Sobolev; P Guy; J D Kim; L Kuramoto; K J Sheehan; J M Sutherland; E Harvey; S N Morin
Journal:  Osteoporos Int       Date:  2019-04-01       Impact factor: 4.507

Review 2.  Does Higher Spending Improve Survival Outcomes for Myocardial Infarction? Examining the Cost-Outcomes Relationship Using Time-Varying Covariates.

Authors:  Deborah Cohen; Douglas G Manuel; Peter Tugwell; Claudia Sanmartin; Tim Ramsay
Journal:  Health Serv Res       Date:  2015-02-09       Impact factor: 3.402

3.  Cost and technical efficiency of physician practices: a stochastic frontier approach using panel data.

Authors:  Mareike Heimeshoff; Jonas Schreyögg; Lukas Kwietniewski
Journal:  Health Care Manag Sci       Date:  2013-12-12

4.  30-Day Episode Payments and Heart Failure Outcomes Among Medicare Beneficiaries.

Authors:  Rishi K Wadhera; Karen E Joynt Maddox; Yun Wang; Changyu Shen; Robert W Yeh
Journal:  JACC Heart Fail       Date:  2018-04-11       Impact factor: 12.035

5.  High resource utilization does not affect mortality in acute respiratory failure patients managed with tracheostomy.

Authors:  Bradley D Freeman; Dustin Stwalley; Dennis Lambert; Joshua Edler; Peter E Morris; Sofia Medvedev; Samuel F Hohmann; Steven M Kymes
Journal:  Respir Care       Date:  2013-04-30       Impact factor: 2.258

6.  Hospitalizations following living donor nephrectomy in the United States.

Authors:  Jesse D Schold; David A Goldfarb; Laura D Buccini; James R Rodrigue; Didier Mandelbrot; Emily L G Heaphy; Richard A Fatica; Emilio D Poggio
Journal:  Clin J Am Soc Nephrol       Date:  2014-01-23       Impact factor: 8.237

7.  Standardizing Medicare payment information to support examining geographic variation in costs.

Authors:  Brian E O'Donnell; Kathleen M Schneider; John M Brooks; Gregory Lessman; June Wilwert; Elizabeth Cook; Glenda Martens; Kara Wright; Elizabeth A Chrischilles
Journal:  Medicare Medicaid Res Rev       Date:  2013-09-10

8.  Does waiting times decrease or increase operational costs in short and long-term? Evidence from Portuguese public hospitals.

Authors:  André Madeira; Victor Moutinho; José Alberto Fuinhas
Journal:  Eur J Health Econ       Date:  2021-06-09

9.  Regional variation in spending and survival for older adults with advanced cancer.

Authors:  Gabriel A Brooks; Ling Li; Dhruv B Sharma; Jane C Weeks; Michael J Hassett; K Robin Yabroff; Deborah Schrag
Journal:  J Natl Cancer Inst       Date:  2013-03-12       Impact factor: 13.506

10.  Understanding drivers of hospital charge variation for episodes of care among patients undergoing hepatopancreatobiliary surgery.

Authors:  Aslam Ejaz; Yuhree Kim; Gaya Spolverato; Ryan Taylor; John Hundt; Timothy M Pawlik
Journal:  HPB (Oxford)       Date:  2015-08-08       Impact factor: 3.647

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.