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An information manager for the assessment protocol for excellence in public health.

The Assessment Protocol for Excellence in Public Health (APEXPH) is a method for comprehensive public health planning that can be implemented by state and local health departments. Many local health departments have limited resources for the data analysis and synthesis needed for APEXPH. To facilita...

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Published in:Public Health Nursing Vol. 11; no. 6; pp. 399 - 406
Main Authors: Vaughn EH, Richards TB, Christenson GM, Taylor MS, Eyster J
Format: research tables/charts Journal Article
Published: Wiley-Blackwell Dec1994
Online Access:View this record in EBSCOhost
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      dt: Dec1994
      vid: 11
      iid: 6
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      pub: Wiley-Blackwell
      place: Malden, Massachusetts
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        107401358
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        atl: An information manager for the assessment protocol for excellence in public health.
      aug:
        au:
          Vaughn EH
          Richards TB
          Christenson GM
          Taylor MS
          Eyster J
        affil: Division of Public Health Systems, Public Health Practice Program Office, Centers for Disease Control and Prevention, Exec Park, Bldg 24 (E20), Atlanta, GA 30333
      sug:
        subj:
          Community Health Services
          Health and Welfare Planning Methods
          Computers and Computerization
          Database Management Software
          Michigan
          Centers for Disease Control and Prevention (U.S.)
          Data Analysis Software
          Human
      ab: The Assessment Protocol for Excellence in Public Health (APEXPH) is a method for comprehensive public health planning that can be implemented by state and local health departments. Many local health departments have limited resources for the data analysis and synthesis needed for APEXPH. To facilitate the implementation of APEXPH in Michigan, we used the Centers for Disease Control and Prevention (CDC) Epi Info software package to develop an APEXPH information manager (CDC-AIM) for use by the 50 local health departments in that state. This report describes our methods for formatting, compressing, and presenting data. Examples of tables are provided for demographics by age and sex, numbers of deaths, years of potential life lost, crude mortality rates, and perinatal indicators such as low birthweight. Areas where additional work is needed to further improve CDC-AIM are discussed. Our experience in Michigan suggests that CDC-AIM potentially is an extremely helpful tool to assist state and local health departments in working with their communities to establish public health program plans based on mortality, morbidity, and risk-factor data.
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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