Evidence map›Paper›PMID 14727793›Full record

ReviewHealth services research2003

Measuring contextual characteristics for community health.

Marianne M Hillemeier, John Lynch, Sam Harper, Michele Casper

Abstract readReview
In one paragraph

Review in Health services research, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

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

35 citing papers in PubMed.

  1. Article
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  6. Selected Research Issues of Urban Public Health.International journal of environmental research and public health · 2022
    Review
  7. Article
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4 · The record

Corrections and comments

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

4 authors.

Marianne M HillemeierDepartment of Health Policy and Administration, The Pennsylvania State University, University Park 16802-6500, USA.
John Lynch
Sam Harper
Michele Casper

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo conceptualize and measure community contextual influences on population health and health disparities. DATA SOURCES: We use traditional and nontraditional secondary sources of data comprising a comprehensive array of community characteristics. STUDY

designUsing a consultative process, we identify 12 overarching dimensions of contextual characteristics that may affect community health, as well as specific subcomponents relating to each dimension. DATA COLLECTION: An extensive geocoded library of data indicators relating to each dimension and subcomponent for metropolitan areas in the United States is assembled. PRINCIPAL

findingsWe describe the development of community contextual health profiles, present the rationale supporting each of the profile dimensions, and provide examples of relevant data sources.

conclusionsOur conceptual framework for community contextual characteristics, including a specified set of dimensions and components, can provide practical ways to monitor health-related aspects of the economic, social, and physical environments in which people live. We suggest several guiding principles useful for understanding how aspects of contextual characteristics can affect health and health disparities.

Indexed as

Community Health PlanningHealth StatusEducationEmploymentEnvironmentHousingHumansPoliticsResidence CharacteristicsSocioeconomic FactorsSociologyUnited StatesUrban Health

Identifiers

PMID14727793
PMCPMC1360969

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.