Literature DB >> 2116636

Uses of data to plan cancer prevention and control programs.

L P Boss1, L Suarez.   

Abstract

Seven State health departments, those in Illinois, Nebraska, New Jersey, New York, North Carolina, Texas, and Wisconsin, have participated in an effort to utilize a variety of State-specific cancer-related data to describe the cancer burden in their State's population. The data were then used to develop a statewide cancer plan or supplement an existing plan to address the defined problems. Cancer data have not been well utilized in the planning of intervention programs in the past, and the efforts in these States can serve as models for data use in programs to prevent and control cancer and other chronic diseases. State-specific data can be used to rank needs and make a clear case that can influence decision makers regarding resource allocation. The purpose of this report is to describe the data sources and additional statistics that were used to provide a broad picture of the cancer burden that will aid in targeting and defining intervention needs. Mortality, incidence, risk factor prevalence, and hospital discharge data appear to be the most accessible and potentially useful of the data sources examined, whereas insurance claims data, sources of treatment data, and environmental data bases were less useful in planning intervention strategies.

Entities:  

Mesh:

Year:  1990        PMID: 2116636      PMCID: PMC1580087     

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


  1 in total

1.  Accuracy of cancer death certificates and its effect on cancer mortality statistics.

Authors:  C Percy; E Stanek; L Gloeckler
Journal:  Am J Public Health       Date:  1981-03       Impact factor: 9.308

  1 in total
  11 in total

1.  Chronic disease control in public health practice: looking back and moving forward.

Authors:  Ross C Brownson; Frank S Bright
Journal:  Public Health Rep       Date:  2004 May-Jun       Impact factor: 2.792

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

Authors:  P P Lillquist; M H Alciati; M S Baptiste; P C Nasca; J F Kerner; C Mettlin
Journal:  Public Health Rep       Date:  1994 Nov-Dec       Impact factor: 2.792

3.  Education of rural physicians about breast cancer through an oncology outreach program.

Authors:  H L Howe; M Lehnherr; J G Katterhagen
Journal:  Public Health Rep       Date:  1994 Nov-Dec       Impact factor: 2.792

4.  Benefits of collecting local data on breast cancer and mammography practices in northwestern Pennsylvania.

Authors:  S A Norman; G B Weinberg; B R Krampe; E T Finnegan
Journal:  Public Health Rep       Date:  1993 May-Jun       Impact factor: 2.792

5.  Targeting cancer control: the state cancer control map and data program.

Authors:  F A Pommerenke; R W Miller; S Srivastava; S P Ackermann
Journal:  Am J Public Health       Date:  1994-09       Impact factor: 9.308

6.  Local health departments implement a theory-based model to increase breast and cervical cancer screening.

Authors:  L Suarez; D C Nichols; L Pulley; C A Brady; A McAlister
Journal:  Public Health Rep       Date:  1993 Jul-Aug       Impact factor: 2.792

7.  Cervical cancer rates by population size of towns: implications for cancer control programs.

Authors:  A P Polednak; J T Flannery; D T Janerich
Journal:  J Community Health       Date:  1991-12

8.  The role of data-driven planning and coalition development in preventing cardiovascular disease.

Authors:  R C Brownson; C A Smith; N E Jorge; L T Deprima; C G Dean; R W Cates
Journal:  Public Health Rep       Date:  1992 Jan-Feb       Impact factor: 2.792

9.  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

10.  Using central cancer-registry data to monitor progress in early detection of breast and cervical cancer (Illinois, United States).

Authors:  H L Howe; M Lehnherr; R Y Qualls
Journal:  Cancer Causes Control       Date:  1995-03       Impact factor: 2.506

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.