Literature DB >> 7130448

A method for using epidemiologic data to estimate the potential impact of an intervention on the health status of a target population.

H Morgenstern, E S Bursic.   

Abstract

A general method is proposed for estimating the potential impact of a prevention program involving risk factor modification on the incidence of specific diseases in a target population. An evaluative framework for comparing alternative intervention strategies is also presented. On the basis of results from epidemiologic studies, the user must specify certain parameters regarding the distribution of the risk factor that is to be modified in the population, the magnitude of the association between the risk factor and disease, and the total risk of disease in the population. A quantitative measure, called the potential impact fraction, is derived to estimate the proportion of expected new cases that may be prevented under intervention programs of varying success. Estimates of this measure are then used to assess the potential efficacy, effectiveness, adequacy, and efficiency of planned intervention strategies. The method is illustrated with published data relating relative weight and coronary heart disease among middle-aged U.S. men, comparing different strategies of weight reduction. Key assumptions of the method and interpretation of results are discussed.

Entities:  

Mesh:

Year:  1982        PMID: 7130448     DOI: 10.1007/bf01318961

Source DB:  PubMed          Journal:  J Community Health        ISSN: 0094-5145


  39 in total

1.  Historical evolution of primary prevention.

Authors:  G Rosen
Journal:  Bull N Y Acad Med       Date:  1975-01

2.  Primary prevention of cancer.

Authors:  P Cole
Journal:  Bull N Y Acad Med       Date:  1975-01

3.  Estimability and estimation in case-referent studies.

Authors:  O Miettinen
Journal:  Am J Epidemiol       Date:  1976-02       Impact factor: 4.897

4.  Premature mortality attributable to smoking and hazardous drinking in Canada.

Authors:  B L Ouellet; J M Romeder; J M Lance
Journal:  Am J Epidemiol       Date:  1979-04       Impact factor: 4.897

5.  Epidemiological considerations underlying the allocation of health and disease care resources.

Authors:  W Winkelstein
Journal:  Int J Epidemiol       Date:  1972       Impact factor: 7.196

6.  Standardization of risk ratios.

Authors:  O S Miettinen
Journal:  Am J Epidemiol       Date:  1972-12       Impact factor: 4.897

7.  Attributable risk percent in case-control studies.

Authors:  P Cole; B MacMahon
Journal:  Br J Prev Soc Med       Date:  1971-11

8.  Economic issues in prevention.

Authors:  M M Kristein
Journal:  Prev Med       Date:  1977-06       Impact factor: 4.018

9.  Calculation of attributable risks from epidemiological data.

Authors:  S D Walter
Journal:  Int J Epidemiol       Date:  1978-06       Impact factor: 7.196

10.  Recent and past use of conjugated estrogens in relation to adenocarcinoma of the endometrium.

Authors:  S Shapiro; D W Kaufman; D Slone; L Rosenberg; O S Miettinen; P D Stolley; N B Rosenshein; W G Watring; T Leavitt; R C Knapp
Journal:  N Engl J Med       Date:  1980-08-28       Impact factor: 91.245

View more
  39 in total

1.  A heuristic approach to the formulas for population attributable fraction.

Authors:  J A Hanley
Journal:  J Epidemiol Community Health       Date:  2001-07       Impact factor: 3.710

Review 2.  Choosing quality of care measures based on the expected impact of improved care on health.

Authors:  A L Siu; E A McGlynn; H Morgenstern; M H Beers; D M Carlisle; E B Keeler; J Beloff; K Curtin; J Leaning; B C Perry
Journal:  Health Serv Res       Date:  1992-12       Impact factor: 3.402

Review 3.  Communicating risks at the population level: application of population impact numbers.

Authors:  Richard F Heller; Iain Buchan; Richard Edwards; Georgios Lyratzopoulos; Patrick McElduff; Selwyn St Leger
Journal:  BMJ       Date:  2003-11-15

4.  The use of population attributable risk to estimate the impact of prevention and early detection of type 2 diabetes on population-wide mortality risk in US males.

Authors:  K M Narayan; T J Thompson; J P Boyle; G L Beckles; M M Engelgau; F Vinicor; D F Williamson
Journal:  Health Care Manag Sci       Date:  1999-12

5.  Quantifying the expected vs potential impact of a risk-factor intervention program.

Authors:  M Bulterys; H Morgenstern; D L Weed
Journal:  Am J Public Health       Date:  1997-05       Impact factor: 9.308

6.  From exposures to population interventions: pregnancy and response to HIV therapy.

Authors:  Daniel Westreich
Journal:  Am J Epidemiol       Date:  2014-02-25       Impact factor: 4.897

7.  Model-based estimation of the attributable fraction for cross-sectional, case-control and cohort studies using the R package AF.

Authors:  Elisabeth Dahlqwist; Johan Zetterqvist; Yudi Pawitan; Arvid Sjölander
Journal:  Eur J Epidemiol       Date:  2016-03-18       Impact factor: 8.082

8.  The population burden of heart failure attributable to modifiable risk factors: the ARIC (Atherosclerosis Risk in Communities) study.

Authors:  Christy L Avery; Laura R Loehr; Christopher Baggett; Patricia P Chang; Anna M Kucharska-Newton; Kunihiro Matsushita; Wayne D Rosamond; Gerardo Heiss
Journal:  J Am Coll Cardiol       Date:  2012-09-26       Impact factor: 24.094

Review 9.  Cost-effectiveness of interventions to promote fruit and vegetable consumption.

Authors:  Linda J Cobiac; Theo Vos; J Lennert Veerman
Journal:  PLoS One       Date:  2010-11-30       Impact factor: 3.240

10.  The impact of neuroleptic medication on tardive dyskinesia: a meta-analysis of published studies.

Authors:  H Morgenstern; W M Glazer; D Niedzwiecki; P Nourjah
Journal:  Am J Public Health       Date:  1987-06       Impact factor: 9.308

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.