Literature DB >> 8019285

Comparing healthcare outcomes.

C Orchard1.   

Abstract

Governments are increasingly concerned to compare the quality and effectiveness of healthcare interventions but find this a complex matter. Crude hospital statistics can be dangerously misleading and need adjusting for case mix, but identifying and weighting the patient characteristics which affect prognosis are problematical for conceptual, methodological, and practical reasons. These include the inherently uncertain nature of prognosis itself and the practical difficulties of collecting and quantifying data on the outcomes of interest for specific healthcare interventions and known risk factors such as severity.

Entities:  

Mesh:

Year:  1994        PMID: 8019285      PMCID: PMC2540294          DOI: 10.1136/bmj.308.6942.1493

Source DB:  PubMed          Journal:  BMJ        ISSN: 0959-8138


  17 in total

Review 1.  Hospital case mix: its definition, measurement and use. Part II: Review of alternative measures.

Authors:  M C Hornbrook
Journal:  Med Care Rev       Date:  1982

2.  Defining clinical improvement in rheumatoid arthritis.

Authors:  D T Felson; R F Meenan
Journal:  Arthritis Rheum       Date:  1991-04

3.  Biased estimates of expected acute myocardial infarction mortality using MedisGroups admission severity groups.

Authors:  M S Blumberg
Journal:  JAMA       Date:  1991-06-12       Impact factor: 56.272

4.  The role of severity information in health policy debates: a survey of state and regional concerns.

Authors:  L I Iezzoni; M Shwartz; J Restuccia
Journal:  Inquiry       Date:  1991       Impact factor: 1.730

5.  Interhospital variations in admission severity-adjusted hospital mortality and morbidity.

Authors:  R C Bradbury; F E Stearns; P M Steen
Journal:  Health Serv Res       Date:  1991-10       Impact factor: 3.402

6.  Severity of illness measures. Comments and caveats.

Authors:  L I Iezzoni
Journal:  Med Care       Date:  1990-09       Impact factor: 2.983

Review 7.  The quality of care. How can it be assessed?

Authors:  A Donabedian
Journal:  JAMA       Date:  1988 Sep 23-30       Impact factor: 56.272

8.  Using administrative data from Manitoba, Canada to study treatment outcomes: developing control groups and adjusting for case severity.

Authors:  N P Roos
Journal:  Soc Sci Med       Date:  1989       Impact factor: 4.634

9.  Outcomes in intensive care.

Authors:  J Bion
Journal:  BMJ       Date:  1993-10-16

10.  Problems of comorbidity in mortality after prostatectomy.

Authors:  J Concato; R I Horwitz; A R Feinstein; J G Elmore; S F Schiff
Journal:  JAMA       Date:  1992-02-26       Impact factor: 56.272

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  13 in total

Review 1.  Economic approaches to doctor/nurse skill mix: problems, pitfalls, and partial solutions.

Authors:  David Kernick; Anthony Scott
Journal:  Br J Gen Pract       Date:  2002-01       Impact factor: 5.386

2.  Explaining differences in English hospital death rates using routinely collected data.

Authors:  B Jarman; S Gault; B Alves; A Hider; S Dolan; A Cook; B Hurwitz; L I Iezzoni
Journal:  BMJ       Date:  1999-06-05

3.  Survival and treatment of AIDS patients 1984-1993: experience of a smaller east London HIV centre.

Authors:  R J Hillman; E J Beck; S Mandalia; H Satterthwaite; P A Rogers; G E Forster; B T Goh
Journal:  Genitourin Med       Date:  1997-02

4.  Significant variation in mortality and functional outcome after acute ischaemic stroke between Western countries: data from the tinzaparin in acute ischaemic stroke trial (TAIST).

Authors:  L J Gray; N Sprigg; P M W Bath; P Sørensen; E Lindenstrøm; G Boysen; P P De Deyn; P Friis; D Leys; R Marttila; J-E Olsson; D O'Neill; B Ringelstein; J-J van der Sande; A G G Turpie
Journal:  J Neurol Neurosurg Psychiatry       Date:  2005-07-26       Impact factor: 10.154

5.  Assessing the quality of care.

Authors:  H T Davies; I K Crombie
Journal:  BMJ       Date:  1995-09-23

6.  Volume and outcome in coronary artery bypass graft surgery: true association or artefact?

Authors:  A J Sowden; J J Deeks; T A Sheldon
Journal:  BMJ       Date:  1995-07-15

7.  Measuring outcome in counselling: a brief exploration of the issues.

Authors:  A J Hazzard
Journal:  Br J Gen Pract       Date:  1995-03       Impact factor: 5.386

8.  Current challenges for outcome measurement in surgical practice.

Authors:  M H Williams; J M Blazeby; J I Eachus
Journal:  Ann R Coll Surg Engl       Date:  1995-11       Impact factor: 1.891

9.  Mortality after acute myocardial infarction is lower in metropolitan regions than in non-metropolitan regions.

Authors:  H D Vu; R F Heller; L L Lim; C D'Este; R L O'Connell
Journal:  J Epidemiol Community Health       Date:  2000-08       Impact factor: 3.710

10.  Effect of correcting outcome data for case mix: an example from stroke medicine.

Authors:  R J Davenport; M S Dennis; C P Warlow
Journal:  BMJ       Date:  1996-06-15
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