Comparisons of Strategies to Prevent Breast Cancer Mortality

Datos Bibliográficos

ID10220842
AutoresDeborah J Bowen (0000-0002-5177-8520, Cape Town HVTN Immunology Laboratory / Hutchinson Centre Research Institute of South Africa, autor de correspondencia), Nicole Urban (0000-0001-5516-7922, Fred Hutch Cancer Center), David Carrell (0000-0002-8471-0928, University of Washington), Susan Kinne (United States Department of Health and Human Services)
Año1993
Volumen49
Número2
Páginas35-60
Fecha de publicación1993-07-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaJournal of Social Issues (JOURNAL)
Identificadores de la revistaISSN: 0022-4537 • E-ISSN: 1540-4560
EditorialWiley (PUBLISHER • GB)
DOI10.1111/j.1540-4560.1993.tb00919.x
PMID17165234
OpenAlexW2118883415
IdiomaEN
Referencias citadas54

A health system should meet the health needs of the population. Given limited resources, choices are made about problems—typically, diseases—to attack. Then, choices must be made as to how to identify, treat, and ultimately, prevent their occurrences. This process is the subject of this article; it uses the case of breast cancer to examine allocation of resources to disease prevention and treatment. The paper reviews current allocation patterns among three strategies for prevention: primary, secondary, and tertiary. Each varies with respect to where the disease process is halted and in the amount of technological support required. Currently, the U.S. health care system allocates most resources to tertiary prevention, with scant support of primary and limited support of secondary prevention. Possible explanations for the current allocation patterns are discussed. Areas where social sciences have made contributions are highlighted. Finally, cost‐effectiveness analyses are presented to illustrate a relatively balanced method for making decisions about future allocations

Actuarial science · Breast cancer · Business · Cancer · Disease · Economic growth · Economics · Environmental health · Health care · Pathology · Population · Process (computing) · Risk analysis (engineering) · Computer Science · Global Cancer Incidence and Screening · Health Systems, Economic Evaluations, Quality of Life · Healthcare Policy and Management · Medicine