Evidence map›Paper›PMID 12580387›Full record

ArticleCanadian journal of public health = Revue canadienne de sante publique

Preventable feto-infant mortality: application of a conceptual framework for perinatal health surveillance to Manitoba perinatal outcomes.

Maureen Heaman, Lawrence J Elliott, Carole Beaudoin, Lynn Baker, James F Blanchard, Perinatal Project Team of the Manitoba Health Epidemiology Unit

Abstract read
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Article in Canadian journal of public health = Revue canadienne de sante publique. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Excess Hispanic fetal-infant mortality in a midwestern community.Public health reports (Washington, D.C. : 1974)
    Article
4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Maureen HeamanFaculty of Nursing, Helen Glass Centre for Nursing, University of Manitoba, Winnipeg, MB. maureen_heaman@umanitoba.ca
Lawrence J Elliott
Carole Beaudoin
Lynn Baker
James F Blanchard
Perinatal Project Team of the Manitoba Health Epidemiology Unit

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPerinatal health surveillance systems have lacked conceptual frameworks to translate data into information for policy and program planning. This paper demonstrates the application of a conceptual framework in the analysis of feto-infant mortality data in the province of Manitoba.

methodsFetal and infant deaths were categorized according to a two-dimensional framework of birthweight and age-at-death, and grouped into four broad categories of contributors to perinatal health: Maternal Health, Maternal Care, Newborn Care, and Infant Care. Birth Weight Proportionate Mortality Rates (BWPMR) were calculated for each of the four categories, and preventable "excess" feto-infant mortality was estimated through comparisons to a benchmark sub-population.

resultsBetween 1985 and 1998, feto-infant mortality declined from 12.3 to 9.8 deaths per 1000 births in Manitoba. Much of this decline occurred in the Newborn Care category; there were only slight declines in deaths attributed to Maternal Health and Infant Care factors. Comparison of the feto-infant mortality rate to the benchmark rate revealed an excess of 3.46 deaths per 1000 births, an "opportunity gap" of 33%. Substantial regional variations in feto-infant mortality rates were observed. SUMMARY: Application of this conceptual framework provided useful information to aid in policy and program planning. As the greatest excess feto-infant mortality was observed in the Maternal Health and Infant Care categories, attention to the broader determinants of health which influence these categories will be required.

Indexed as

Health PolicyMaternal WelfarePopulation SurveillanceAdultBenchmarkingBirth WeightFemaleFetal DeathHospital MortalityHumansInfant MortalityInfant, NewbornInfant, PrematureManitobaMaternal Health ServicesPerinatal Care

Identifiers

PMID12580387
PMCPMC6980126

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.