Literature DB >> 10553386

Innovative methods for monitoring perinatal health outcomes in cities and in smaller geographic areas.

P O'Campo1, B Guyer.   

Abstract

OBJECTIVES: Monitoring health in small localities such as cities or local communities is important, because rates of adverse outcomes often vary widely by geographic area. This article explores the utility of CUSUM (cumulative summation), a method developed and refined in industry, for monitoring health outcomes in cities and smaller geographic areas.
METHODS: CUSUM monitoring methods were applied to rates of late or no prenatal care initiation and very low birthweight for the city of Baltimore as a whole and for a cluster of high-risk areas within the city. The performance of supplementary runs criteria was also assessed. The ability of both methods to flag significant increases or decreases in prenatal care initiation and very low birthweight rates was assessed.
RESULTS: CUSUM and runs criteria detected most significant rate changes. The 2 methods performed better in regard to outcomes with higher prevalence and in larger geographic areas.
CONCLUSIONS: CUSUM methods are convenient and reliable for use in the monitoring of moderately low prevalence outcomes in small geographic areas. Future research should examine their applicability to other health outcomes and further refine these methods, especially for rarer outcomes.

Mesh:

Year:  1999        PMID: 10553386      PMCID: PMC1508972          DOI: 10.2105/ajph.89.11.1667

Source DB:  PubMed          Journal:  Am J Public Health        ISSN: 0090-0036            Impact factor:   9.308


  11 in total

1.  Cumulative sums in quantifying circadian blood pressure patterns.

Authors:  A Stanton; J Cox; N Atkins; K O'Malley; E O'Brien
Journal:  Hypertension       Date:  1992-01       Impact factor: 10.190

2.  Applicability of industrial sampling techniques to epidemiologic investigations: examination of an underutilized resource.

Authors:  W A Reinke
Journal:  Am J Epidemiol       Date:  1991-11-15       Impact factor: 4.897

3.  Do CuSums have a role in routine communicable disease surveillance?

Authors:  S J O'Brien; P Christie
Journal:  Public Health       Date:  1997-07       Impact factor: 2.427

4.  Using lot quality assurance sampling to assess measurements for growth monitoring in a developing country's primary health care system.

Authors:  J J Valadez; L D Brown; W V Vargas; D Morley
Journal:  Int J Epidemiol       Date:  1996-04       Impact factor: 7.196

5.  The cusum test of homogeneity with an application in spontaneous abortion epidemiology.

Authors:  B Levin; J Kline
Journal:  Stat Med       Date:  1985 Oct-Dec       Impact factor: 2.373

6.  Revised values for the parameters of the sets technique for monitoring the incidence rate of a rare disease.

Authors:  R Chen
Journal:  Methods Inf Med       Date:  1986-01       Impact factor: 2.176

7.  Comparison of two statistical techniques for the surveillance of birth defects through a Monte Carlo simulation.

Authors:  G Barbujani; E Calzolari
Journal:  Stat Med       Date:  1984 Jul-Sep       Impact factor: 2.373

8.  An evaluation of cusum analysis in asthma.

Authors:  D M Mitchell; J V Collins; J Morley
Journal:  Br J Dis Chest       Date:  1980-04

9.  Needs assessment for reducing infant mortality in Baltimore City: the Healthy Start Program.

Authors:  P O'Campo; B Guyer; B Squires; J Weiss; J Sweitzer; T Coyle
Journal:  South Med J       Date:  1993-12       Impact factor: 0.954

10.  Application of exponential smoothing for nosocomial infection surveillance.

Authors:  L Ngo; I B Tager; D Hadley
Journal:  Am J Epidemiol       Date:  1996-03-15       Impact factor: 4.897

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  1 in total

1.  Children in Illinois with elevated blood lead levels, 1993-1998, and lead-related pediatric hospital admissions in Illinois, 1993-1997.

Authors:  M J Brown; E Shenassa; T D Matté; S N Catlin
Journal:  Public Health Rep       Date:  2000 Nov-Dec       Impact factor: 2.792

  1 in total

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