Literature DB >> 3221162

A possible artefactual component in specific cause mortality gradients. Social class variations in the clinical accuracy of death certificates.

M L Samphier1, C Robertson, M J Bloor.   

Abstract

This paper investigates one possible avenue of artefactual influence on the production and/or concealment of social class gradients in specific cause mortality rates, namely, the possibility of social class biases in the accuracy of diagnosis of cause of death and the systematic misallocation of certain social groups to particular diagnoses. Information on this topic was obtained by matching occupational data gathered at death registration with data on the accuracy of diagnosis of cause of death (measured by diagnostic agreement between clinician and pathologist) collected in a prospective study of 1152 hospital necropsies. Extrapolation from these data to national mortality rates should be cautious, but it appears that in the majority of the most common causes of death grouped by ICD chapter (neoplasms, cerebrovascular and digestive) social class gradients would be steeper if mortality data were based on pathologists' rather than clinicians' diagnoses. Only in the respiratory chapter would the gradient be reduced, with the gradient in cardiovascular deaths unaffected.

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Year:  1988        PMID: 3221162      PMCID: PMC1052707          DOI: 10.1136/jech.42.2.138

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


  11 in total

1.  ASSESSING THE COMPARABILITY OF MORTALITY STATISTICS.

Authors:  D D REID; G A ROSE
Journal:  Br Med J       Date:  1964-12-05

2.  Trends in hospital necropsy rates: Scotland 1961-74.

Authors:  H M Cameron; E McGoogan; J Clarke; B A Wilson
Journal:  Br Med J       Date:  1977-06-18

3.  Diagnostic errors discovered at autopsy.

Authors:  M Britton
Journal:  Acta Med Scand       Date:  1974-09

4.  Mortality from stroke among U.S. veterans in Georgia and 5 western states. II. Quality of death certification and clinical records.

Authors:  R M Acheson; M D Nefzger; A Heyman
Journal:  J Chronic Dis       Date:  1973-07

5.  Mortality from coronary heart disease in the British army compared with the civil population.

Authors:  P Lynch; B J Oelman
Journal:  Br Med J (Clin Res Ed)       Date:  1981-08-08

6.  Determinants of the ability of general practitioners to detect psychiatric illness.

Authors:  J N Marks; D P Goldberg; V F Hillier
Journal:  Psychol Med       Date:  1979-05       Impact factor: 7.723

7.  A prospective study of 1152 hospital autopsies: I. Inaccuracies in death certification.

Authors:  H M Cameron; E McGoogan
Journal:  J Pathol       Date:  1981-04       Impact factor: 7.996

8.  Employment grade and coronary heart disease in British civil servants.

Authors:  M G Marmot; G Rose; M Shipley; P J Hamilton
Journal:  J Epidemiol Community Health (1978)       Date:  1978-12

9.  The effect of death certification and coding practices on observed differences in respiratory disease mortality in 8 E.E.C. countries.

Authors:  M C Kelson; R F Heller
Journal:  Rev Epidemiol Sante Publique       Date:  1983       Impact factor: 1.019

10.  Mortality decline and widening social inequalities.

Authors:  M G Marmot; M E McDowall
Journal:  Lancet       Date:  1986-08-02       Impact factor: 79.321

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4.  Measuring social class differences in cancer patient survival: is it necessary to control for social class differences in general population mortality? A Finnish population-based study.

Authors:  P W Dickman; A Auvinen; E T Voutilainen; T Hakulinen
Journal:  J Epidemiol Community Health       Date:  1998-11       Impact factor: 3.710

5.  Inequalities in survival from colorectal cancer: a comparison of the impact of deprivation, treatment, and host factors on observed and cause specific survival.

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Journal:  J Epidemiol Community Health       Date:  2003-04       Impact factor: 3.710

6.  Socioeconomic differentials in mortality risk among men screened for the Multiple Risk Factor Intervention Trial: I. White men.

Authors:  G D Smith; J D Neaton; D Wentworth; R Stamler; J Stamler
Journal:  Am J Public Health       Date:  1996-04       Impact factor: 9.308

7.  Employment grade differences in cause specific mortality. A 25 year follow up of civil servants from the first Whitehall study.

Authors:  C T van Rossum; M J Shipley; H van de Mheen; D E Grobbee; M G Marmot
Journal:  J Epidemiol Community Health       Date:  2000-03       Impact factor: 3.710

8.  Choice of relative or cause-specific approach to cancer survival analysis impacts estimates differentially by cancer type, population, and application: evidence from a Canadian population-based cohort study.

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  8 in total

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