Evidence map›Paper›PMID 15040437›Full record

ArticleAnnals of family medicine

Variation in the ecology of medical care.

George E Fryer, Larry A Green, Susan M Dovey, Barbara P Yawn, Robert L Phillips, David Lanier

Abstract readComparative Study
In one paragraph

Article in Annals of family medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Observational
  6. Article
  7. The Ecology of Medical Care in Korea.Journal of Korean medical science · 2016
    Article
  8. The Autoimmune Ecology.Frontiers in immunology · 2016
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Two cheers for ecology.Annals of family medicine
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

George E FryerThe Robert Graham Center, American Academy of Family Physicians, Washington, DC 20036, USA. Efryer@aafp.org
Larry A Green
Susan M Dovey
Barbara P Yawn
Robert L Phillips
David Lanier

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe wanted to quantify how the location in which medical care is delivered in the United States varies with the sociodemographic characteristics and health care arrangements of the individual person.

methodsData from the 1996 Medical Expenditures Panel Survey (MEPS) were used to estimate the number of persons per 1,000 per month in 1996 who had at least 1 contact with physicians' offices, hospital outpatient departments, or emergency departments, hospitals, or home care. These data were stratified by age, sex, race, ethnicity, household income, education of head of household, residence in or out of metropolitan statistical areas, having health insurance, and having a usual source of care.

resultsPhysicians' offices were overwhelmingly the most common site of health care for all subgroups studied. Lacking a usual source of care was the only variable independently associated with a decreased likelihood of care in all 5 settings, and lack of insurance was associated with lower rates of care in all settings but emergency departments. Generally, more complicated patterns emerged for most sociodemographic characteristics. The combination of having a usual source of care and health insurance was especially related to higher rates of care in all settings except the emergency department.

conclusionFrequency and location of health care delivery varies substantially with sociodemographic characteristics, insurance, and having a usual source of care. Understanding this variation can inform public consideration of policy related to access to care.

Indexed as

Delivery of Health CareAdolescentAdultAgedAge FactorsChildChild, PreschoolEcologyEthnicityFemaleHealth Care CostsHealth Care SurveysHumansInsurance, HealthLongitudinal StudiesMale

Identifiers

PMID15040437
PMCPMC1466566

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.