Evidence map›Paper›PMID 15333060›Full record

ArticleJournal of general internal medicine2004

Geographic methods for understanding and responding to disparities in mammography use in Toronto, Canada.

Richard Henry Glazier, Maria Isabella Creatore, Piotr Gozdyra, Flora I Matheson, Leah S Steele, Eleanor Boyle, Rahim Moineddin

Abstract read
In one paragraph

Article in Journal of general internal medicine, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
–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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

28 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Observational
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  19. Access to cancer screening for women with mobility disabilities.Journal of cancer education : the official journal of the American Association for Cancer Education · 2012
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Richard Henry GlazierInner City Health Research Unit, Department of Family and Community Medicine, St. Michael's Hospital, 30 Bond Street, Toronto, Ontario, Canada M5B 1W8. richard.glazier@utoronto.ca
Maria Isabella Creatore
Piotr Gozdyra
Flora I Matheson
Leah S Steele
Eleanor Boyle
Rahim Moineddin

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo use spatial and epidemiologic analyses to understand disparities in mammography use and to formulate interventions to increase its uptake in low-income, high-recent immigration areas in Toronto, Canada.

designWe compared mammography rates in four income-immigration census tract groups. Data were obtained from the 1996 Canadian census and 2000 physician billing claims. Risk ratios, linear regression, multilayer maps, and spatial analysis were used to examine utilization by area for women age 45 to 64 years.

settingResidential population of inner city Toronto, Canada, with a 1996 population of 780,000.

participantsWomen age 45 to 64 residing in Toronto's inner city in the year 2000. MEASUREMENTS AND MAIN

resultsAmong 113,762 women age 45 to 64, 27,435 (24%) had received a mammogram during 2000 and 91,542 (80%) had seen a physician. Only 21% of women had a mammogram in the least advantaged group (low income--high immigration), compared with 27% in the most advantaged group (high income--low immigration) (risk ratio, 0.79; 95% confidence interval, 0.75 to 0.84). Multilayer maps demonstrated a low income-high immigration band running through Toronto's inner city and low mammography rates within that band. There was substantial geographic clustering of study variables.

conclusionsWe found marked variation in mammography rates by area, with the lowest rates associated with low income and high immigration. Spatial patterns identified areas with low mammography and low physician visit rates appropriate for outreach and public education interventions. We also identified areas with low mammography and high physician visit rates appropriate for interventions targeted at physicians.

Indexed as

Cluster AnalysisEmigration and ImmigrationFemaleHumansIncomeMammographyMiddle AgedOntarioSocioeconomic FactorsUrban Population

Identifiers

PMID15333060
PMCPMC1492521

What OpenQuestion holds

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Registered trials

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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.