Literature DB >> 7400726

The relationship between mortality and two indicators of morbidity.

M E Brennan, P H Clare.   

Abstract

The Resource Allocation Working Party concluded that standardised mortality ratios are the best available indicators of geographical variations in morbidity. In this paper we give the results of a statistical analysis of the relationship between mortality and two indicators of morbidity, obtained from the 1971 census, for three age groups. The level of aggregation in the data is comparable with that at district or area level. Strong linear relationships are obtained, suggesting that it is reasonable to use mortality data in the RAWP formulae in applications at area of district level. However, this method of resource allocation should not be used in isolation from planning. A possible solution which reduces conflict between the two approaches is to incorporate mortality data in the planning indicators used to establish relative need and, in addition, to take due account of established patterns of service and local circumstances.

Mesh:

Year:  1980        PMID: 7400726      PMCID: PMC1052058          DOI: 10.1136/jech.34.2.134

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


  4 in total

1.  Subregional resource allocations in the National Health Service.

Authors:  A H Snaith
Journal:  J Epidemiol Community Health       Date:  1978-03       Impact factor: 3.710

2.  Association of childhood mortality with housing status and unemployment.

Authors:  M E Brennan; R Lancashire
Journal:  J Epidemiol Community Health       Date:  1978-03       Impact factor: 3.710

3.  Mortality, morbidity, and resource allocation.

Authors:  D P Forster
Journal:  Lancet       Date:  1977-05-07       Impact factor: 79.321

4.  The use of mortality data in the report of the Resource Allocation Working Party (H.M.S.O. 1976).

Authors:  H P Ferrer; A Moore; G C Stevens
Journal:  Public Health       Date:  1977-11       Impact factor: 2.427

  4 in total
  11 in total

1.  Assessing population health care need using a claims-based ACG morbidity measure: a validation analysis in the Province of Manitoba.

Authors:  Robert J Reid; Noralou P Roos; Leonard MacWilliam; Norman Frohlich; Charlyn Black
Journal:  Health Serv Res       Date:  2002-10       Impact factor: 3.402

2.  Interrelations between three proxies of health care need at the small area level: an urban/rural comparison.

Authors:  S Barnett; P Roderick; D Martin; I Diamond; H Wrigley
Journal:  J Epidemiol Community Health       Date:  2002-10       Impact factor: 3.710

3.  Interregional variations in measures of health from the Health and Lifestyle Survey and their relation with indicators of health care need in England.

Authors:  N Mays; S Chinn; K M Ho
Journal:  J Epidemiol Community Health       Date:  1992-02       Impact factor: 3.710

4.  Occupational history, self reported chronic illness, and mortality: a follow up of 25,586 Swedish men and women.

Authors:  P Ostlin
Journal:  J Epidemiol Community Health       Date:  1990-03       Impact factor: 3.710

5.  Effect of labour market conditions on reporting of limiting long-term illness and permanent sickness in England and Wales.

Authors:  R Haynes; G Bentham; A Lovett; J Eimermann
Journal:  J Epidemiol Community Health       Date:  1997-06       Impact factor: 3.710

6.  Relation between all cause standardised mortality ratios and two indices of deprivation at regional and district level in England.

Authors:  N Mays; S Chinn
Journal:  J Epidemiol Community Health       Date:  1989-06       Impact factor: 3.710

7.  Health conditions in regions of Eastern and Western Europe.

Authors:  Dorota Weziak-Bialowolska
Journal:  Int J Public Health       Date:  2014-03-20       Impact factor: 3.380

8.  Measuring morbidity for resource allocation.

Authors:  N Mays
Journal:  Br Med J (Clin Res Ed)       Date:  1987-09-19

9.  Mortality and two indicators of morbidity.

Authors:  H P Ferrer; G Stevens; A Moore
Journal:  J Epidemiol Community Health       Date:  1980-12       Impact factor: 3.710

10.  Explaining variations in prescribing costs across England.

Authors:  T Morton-Jones; M Pringle
Journal:  BMJ       Date:  1993-06-26
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