Literature DB >> 19674428

The relationship between hospital volume and mortality in mechanical ventilation: an instrumental variable analysis.

Jeremy M Kahn1, Thomas R Ten Have, Theodore J Iwashyna.   

Abstract

OBJECTIVE: To examine the relationship between hospital volume and mortality for nonsurgical patients receiving mechanical ventilation. DATA SOURCES: Pennsylvania state discharge records from July 1, 2004, to June 30, 2006, linked to the Pennsylvania Department of Health death records and the 2000 United States Census. STUDY
DESIGN: We categorized all general acute care hospitals in Pennsylvania (n=169) by the annual number of nonsurgical, mechanically ventilated discharges according to previous criteria. To estimate the relationship between annual volume and 30-day mortality, we fit linear probability models using administrative risk adjustment, clinical risk adjustment, and an instrumental variable approach. PRINCIPLE
FINDINGS: Using a clinical measure of risk adjustment, we observed a significant reduction in the probability of 30-day mortality at higher volume hospitals (>or=300 admissions per year) compared with lower volume hospitals (<300 patients per year; absolute risk reduction: 3.4%, p=.04). No significant volume-outcome relationship was observed using only administrative risk adjustment. Using the distance from the patient's home to the nearest higher volume hospital as an instrument, the volume-outcome relationship was greater than observed using clinical risk adjustment (absolute risk reduction: 7.0%, p=.01).
CONCLUSIONS: Care in higher volume hospitals is independently associated with a reduction in mortality for patients receiving mechanical ventilation. Adequate risk adjustment is essential in order to obtained unbiased estimates of the volume-outcome relationship.

Entities:  

Mesh:

Year:  2009        PMID: 19674428      PMCID: PMC2699912          DOI: 10.1111/j.1475-6773.2009.00959.x

Source DB:  PubMed          Journal:  Health Serv Res        ISSN: 0017-9124            Impact factor:   3.402


  41 in total

1.  Who is the marginal patient? Understanding instrumental variables estimates of treatment effects.

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Journal:  Health Serv Res       Date:  1998-12       Impact factor: 3.402

2.  The importance of technology for achieving superior outcomes from intensive care. Brazil APACHE III Study Group.

Authors:  P G Bastos; W A Knaus; J E Zimmerman; A Magalhães; X Sun; D P Wagner
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3.  Comorbidity measures for use with administrative data.

Authors:  A Elixhauser; C Steiner; D R Harris; R M Coffey
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4.  The risks of risk adjustment.

Authors:  L I Iezzoni
Journal:  JAMA       Date:  1997-11-19       Impact factor: 56.272

5.  Hospital-level racial disparities in acute myocardial infarction treatment and outcomes.

Authors:  Amber E Barnato; F Lee Lucas; Douglas Staiger; David E Wennberg; Amitabh Chandra
Journal:  Med Care       Date:  2005-04       Impact factor: 2.983

6.  Patient and hospital differences underlying racial variation in outcomes after coronary artery bypass graft surgery.

Authors:  Suma H Konety; Mary S Vaughan Sarrazin; Gary E Rosenthal
Journal:  Circulation       Date:  2005-03-15       Impact factor: 29.690

7.  Effect on the duration of mechanical ventilation of identifying patients capable of breathing spontaneously.

Authors:  E W Ely; A M Baker; D P Dunagan; H L Burke; A C Smith; P T Kelly; M M Johnson; R W Browder; D L Bowton; E F Haponik
Journal:  N Engl J Med       Date:  1996-12-19       Impact factor: 91.245

8.  African-American and white patients admitted to the intensive care unit: is there a difference in therapy and outcome?

Authors:  J F Williams; J E Zimmerman; D P Wagner; M Hawkins; W A Knaus
Journal:  Crit Care Med       Date:  1995-04       Impact factor: 7.598

9.  A new Simplified Acute Physiology Score (SAPS II) based on a European/North American multicenter study.

Authors:  J R Le Gall; S Lemeshow; F Saulnier
Journal:  JAMA       Date:  1993 Dec 22-29       Impact factor: 56.272

10.  Does more intensive treatment of acute myocardial infarction in the elderly reduce mortality? Analysis using instrumental variables.

Authors:  M McClellan; B J McNeil; J P Newhouse
Journal:  JAMA       Date:  1994-09-21       Impact factor: 56.272

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  35 in total

1.  Volume Matters: Returning Home After Hip Fracture.

Authors:  Pedro Gozalo; Natalie E Leland; Thomas J Christian; Vincent Mor; Joan M Teno
Journal:  J Am Geriatr Soc       Date:  2015-10-01       Impact factor: 5.562

2.  Patient and Hospital Characteristics Associated with Interhospital Transfer for Adults with Ventilator-Dependent Respiratory Failure.

Authors:  Nandita R Nadig; Andrew J Goodwin; Annie N Simpson; Kit N Simpson; Jeremy Richards; Dee W Ford
Journal:  Ann Am Thorac Soc       Date:  2017-05

Review 3.  The Volume-Outcome Relationship in Critical Care: A Systematic Review and Meta-analysis.

Authors:  Yên-Lan Nguyen; David J Wallace; Youri Yordanov; Ludovic Trinquart; Josefin Blomkvist; Derek C Angus; Jeremy M Kahn; Philippe Ravaud; Bertrand Guidet
Journal:  Chest       Date:  2015-07       Impact factor: 9.410

Review 4.  Instrumental variable analyses. Exploiting natural randomness to understand causal mechanisms.

Authors:  Theodore J Iwashyna; Edward H Kennedy
Journal:  Ann Am Thorac Soc       Date:  2013-06

5.  Hospital Noninvasive Ventilation Case Volume and Outcomes of Acute Exacerbations of Chronic Obstructive Pulmonary Disease.

Authors:  Anuj B Mehta; Ivor S Douglas; Allan J Walkey
Journal:  Ann Am Thorac Soc       Date:  2016-10

Review 6.  Does patient volume affect clinical outcomes in adult intensive care units?

Authors:  Mrudula H Kanhere; Harsh A Kanhere; Alun Cameron; Guy J Maddern
Journal:  Intensive Care Med       Date:  2012-04-05       Impact factor: 17.440

7.  Is the volume of mechanically ventilated admissions to UK critical care units associated with improved outcomes?

Authors:  Jason Shahin; D A Harrison; K M Rowan
Journal:  Intensive Care Med       Date:  2014-02-07       Impact factor: 17.440

8.  Hospital case volume and outcomes among patients hospitalized with severe sepsis.

Authors:  Allan J Walkey; Renda Soylemez Wiener
Journal:  Am J Respir Crit Care Med       Date:  2014-03-01       Impact factor: 21.405

Review 9.  Using existing data to address important clinical questions in critical care.

Authors:  Colin R Cooke; Theodore J Iwashyna
Journal:  Crit Care Med       Date:  2013-03       Impact factor: 7.598

10.  Patterns of use and short-term complications of breast brachytherapy in the national medicare population from 2008-2009.

Authors:  Carolyn J Presley; Pamela R Soulos; Jeph Herrin; Kenneth B Roberts; James B Yu; Brigid Killelea; Beth-Ann Lesnikoski; Jessica B Long; Cary P Gross
Journal:  J Clin Oncol       Date:  2012-10-22       Impact factor: 44.544

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