Literature DB >> 10563282

Outcomes research and community health information systems.

C H Slater1.   

Abstract

The developments in outcomes research and community health information systems are pursuing essentially parallel courses in this country, and yet integrating the lessons from each other could yield more informed health policy decisions. This article provides the linkage between these two developing fields, discusses indicators of community health, describes several approximations to an outcomes-based community health information system in this country, and specifies a model (POPULIS) of such a system from Canada. Although POPULIS can serve as a prototype for health policy decision making, the outcomes-based community health information system, which can be constructed in this country, is constrained by the pluralistic system of health care we have and the lack of any centralized planning about health.

Mesh:

Year:  1999        PMID: 10563282     DOI: 10.1023/a:1020582412446

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  19 in total

1.  Health status indicators: definitions and national data.

Authors:  R J Klein; S A Hawk
Journal:  Healthy People 2000 Stat Notes       Date:  1992

Review 2.  What is outcomes research and what can it tell us?

Authors:  C H Slater
Journal:  Eval Health Prof       Date:  1997-09       Impact factor: 2.651

3.  Consensus set of health status indicators for the general assessment of community health status--United States.

Authors: 
Journal:  MMWR Morb Mortal Wkly Rep       Date:  1991-07-12       Impact factor: 17.586

4.  Measuring the health of the population.

Authors:  M M Cohen; L MacWilliam
Journal:  Med Care       Date:  1995-12       Impact factor: 2.983

5.  Measuring the health of populations, indicators and interpretations.

Authors:  H E Hansluwka
Journal:  Soc Sci Med       Date:  1985       Impact factor: 4.634

6.  Geographical variation in mortality from conditions amenable to medical intervention in England and Wales.

Authors:  J R Charlton; R M Hartley; R Silver; W W Holland
Journal:  Lancet       Date:  1983-03-26       Impact factor: 79.321

7.  Impact of socioeconomic status on hospital use in New York City.

Authors:  J Billings; L Zeitel; J Lukomnik; T S Carey; A E Blank; L Newman
Journal:  Health Aff (Millwood)       Date:  1993       Impact factor: 6.301

8.  Computerised linking of medical records: methodological guidelines.

Authors:  L Gill; M Goldacre; H Simmons; G Bettley; M Griffith
Journal:  J Epidemiol Community Health       Date:  1993-08       Impact factor: 3.710

9.  Rates of avoidable hospitalization by insurance status in Massachusetts and Maryland.

Authors:  J S Weissman; C Gatsonis; A M Epstein
Journal:  JAMA       Date:  1992-11-04       Impact factor: 56.272

10.  Pre-natal and early life risk factors for childhood onset diabetes mellitus: a record linkage study.

Authors:  M E Jones; A J Swerdlow; L E Gill; M J Goldacre
Journal:  Int J Epidemiol       Date:  1998-06       Impact factor: 7.196

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