Literature DB >> 11160175

Level of aggregation for optimal epidemiological analysis: the case of time to surgery and unnecessary removal of the normal appendix.

S W Wen1, K Demissie, D August, G G Rhoads.   

Abstract

STUDY
OBJECTIVE: To illustrate the concept of "individualised fallacy", the result of improper interpretation and inference about aggregate level associations on the basis of associations at the individual level, in epidemiology.
DESIGN: Cohort study.
SETTING: Canadian province of Ontario. PATIENTS: All patients who underwent primary appendicectomy in 175 Ontario hospitals from 1989 to 1992. The association between rate of normal appendix removal and time to surgery was analysed at two levels: (1) at individual patient level, in which, for each patient, the exact number of days to surgery was derived, and (2) at hospital level, in which hospital specific proportions of time to surgery was calculated. MAIN
RESULTS: Measured at individual level, compared with patients who had an operation on the same day of admission, the odds ratio was 2.41 (95% confidence intervals 2.28, 2.56) for patients who had an operation > 1 day after admission. Measured at hospital level, each 10% increase in the proportion of patients who had an operation > 1 day after admission resulted in a 15% reduction in the odds of normal appendix removal (odds ratio 0.85, 95% confidence intervals 0.82, 0.88)
CONCLUSIONS: In this case study, hospital level measure correctly predicted a reduction in the rate of normal appendix removal by delaying surgery, whereas individual level measure biased the direction of the relation to the opposite. This example illustrates that bias in across level inference can occur either at individual or ecological level. The preferred level of analysis is the one that minimises confounding; often, it must be selected on the basis of a priori knowledge of the subject area.

Entities:  

Mesh:

Year:  2001        PMID: 11160175      PMCID: PMC1731839          DOI: 10.1136/jech.55.3.198

Source DB:  PubMed          Journal:  J Epidemiol Community Health        ISSN: 0143-005X            Impact factor:   3.710


  22 in total

1.  Intensive in-hospital observation: a safe way to decrease unnecessary appendectomy.

Authors:  J J White; M Santillana; J A Haller
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2.  Computer aided diagnosis of acute abdominal pain: a multicentre study.

Authors:  I D Adams; M Chan; P C Clifford; W M Cooke; V Dallos; F T de Dombal; M H Edwards; D M Hancock; D J Hewett; N McIntyre
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3.  Incidence and case fatality rates for acute appendicitis in California. A population-based study of the effects of age.

Authors:  R Luckmann
Journal:  Am J Epidemiol       Date:  1989-05       Impact factor: 4.897

4.  The multilevel dependence of contraceptive use on socioeconomic development and family planning program strength.

Authors:  B Entwisle; W M Mason; A I Hermalin
Journal:  Demography       Date:  1986-05

5.  A new method of classifying prognostic comorbidity in longitudinal studies: development and validation.

Authors:  M E Charlson; P Pompei; K L Ales; C R MacKenzie
Journal:  J Chronic Dis       Date:  1987

6.  Comparison of relative risks obtained in ecological and individual studies: some methodological considerations.

Authors:  S Richardson; I Stücker; D Hémon
Journal:  Int J Epidemiol       Date:  1987-03       Impact factor: 7.196

Review 7.  The ecological fallacy.

Authors:  S Piantadosi; D P Byar; S B Green
Journal:  Am J Epidemiol       Date:  1988-05       Impact factor: 4.897

8.  A multilevel model of family planning availability and contraceptive use in rural Thailand.

Authors:  B Entwisle; A I Hermalin; P Kamnuansilpa; A Chamratrithirong
Journal:  Demography       Date:  1984-11

9.  Active observation in acute abdominal pain.

Authors:  H J Thomson; P F Jones
Journal:  Am J Surg       Date:  1986-11       Impact factor: 2.565

10.  Diagnostic accuracy and short-term surgical outcomes in cases of suspected acute appendicitis.

Authors:  S W Wen; C D Naylor
Journal:  CMAJ       Date:  1995-05-15       Impact factor: 8.262

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