Literature DB >> 7800789

Cancer control planning and establishment of priorities for intervention by a state health department.

P P Lillquist1, M H Alciati, M S Baptiste, P C Nasca, J F Kerner, C Mettlin.   

Abstract

A number of data sources routinely available to State health departments were analyzed as part of a State health department cancer control planning effort. This planning effort consisted of seven steps; the most challenging one was the establishment of priorities for cancer control interventions. Using data from available sources, however, a framework for prioritizing potential cancer control interventions as well as choosing a geographic area in which to implement selected interventions was developed. Factors considered in this framework for setting intervention priorities included the magnitude of the problem; the existence of scientific consensus regarding the efficacy of intervention techniques; the availability of data needed to plan, implement, and evaluate an intervention; the availability of resources within communities to implement an intervention; and the existence of public demand for the intervention. The development and use of this cancer control planning model and framework for setting cancer control intervention priorities in New York State are described in this paper. In using this planning model and framework for setting priorities, quantitative elements were found to be most necessary to define problems, but qualitative elements were most crucial for decision making.

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Mesh:

Year:  1994        PMID: 7800789      PMCID: PMC1403582     

Source DB:  PubMed          Journal:  Public Health Rep        ISSN: 0033-3549            Impact factor:   2.792


  6 in total

1.  Recency of Pap smear screening: a multivariate model.

Authors:  H L Howe; H Bzduch
Journal:  Public Health Rep       Date:  1987 May-Jun       Impact factor: 2.792

2.  Uses of data to plan cancer prevention and control programs.

Authors:  L P Boss; L Suarez
Journal:  Public Health Rep       Date:  1990 Jul-Aug       Impact factor: 2.792

3.  Periodic breast cancer screening in reducing mortality from breast cancer.

Authors:  S Shapiro; P Strax; L Venet
Journal:  JAMA       Date:  1971-03-15       Impact factor: 56.272

4.  Ten- to fourteen-year effect of screening on breast cancer mortality.

Authors:  S Shapiro; W Venet; P Strax; L Venet; R Roeser
Journal:  J Natl Cancer Inst       Date:  1982-08       Impact factor: 13.506

5.  Prevention and early detection of skin cancer/melanoma.

Authors:  A W Kopf
Journal:  Cancer       Date:  1988-10-15       Impact factor: 6.860

Review 6.  The causes of cancer: quantitative estimates of avoidable risks of cancer in the United States today.

Authors:  R Doll; R Peto
Journal:  J Natl Cancer Inst       Date:  1981-06       Impact factor: 13.506

  6 in total
  2 in total

1.  Using data to plan public health programs: experience from state cancer prevention and control programs.

Authors:  M H Alciati; K Glanz
Journal:  Public Health Rep       Date:  1996 Mar-Apr       Impact factor: 2.792

2.  Precision in Setting Cancer Prevention Priorities: Synthesis of Data, Literature, and Expert Opinion.

Authors:  Jennifer Girschik; Laura Jean Miller; Tony Addiscott; Mike Daube; Paul Katris; David Ransom; Terry Slevin; Tim Threlfall; Tarun Stephen Weeramanthri
Journal:  Front Public Health       Date:  2017-06-06
  2 in total

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