Evidence map›Paper›PMID 29546441›Full record

ArticleInternational journal of public health2018

Changes in trauma admission rates and mechanisms during recession and recovery: evidence from the Detroit metropolitan area.

Kimberly Coughlin, R David Hayward, Mary Fessler, Elango Edhayan

Abstract read
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In one paragraph

Article in International journal of public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Kimberly CoughlinDepartment of Surgery, St. John Hospital and Medical Center, 22101 Moross Rd, Professional Building 1, Suite 212, Detroit, MI, 48236, USA. Kimberly.Coughlin@ascension.org.
R David HaywardDepartment of Surgery, St. John Hospital and Medical Center, 22101 Moross Rd, Professional Building 1, Suite 212, Detroit, MI, 48236, USA.
Mary FesslerDepartment of Surgery, St. John Hospital and Medical Center, 22101 Moross Rd, Professional Building 1, Suite 212, Detroit, MI, 48236, USA.
Elango EdhayanDepartment of Surgery, St. John Hospital and Medical Center, 22101 Moross Rd, Professional Building 1, Suite 212, Detroit, MI, 48236, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesAlthough individual socioeconomic status has been linked with risk of traumatic injury, there has been relatively little research into the question of how economic changes may impact trauma admission rates in neighborhoods with different socioeconomic backgrounds.

methodsThis study pairs ZIP code-level data on trauma admissions with county-level data on unemployment to assess differences in the type of changes experienced in more and less affluent neighborhoods of the Detroit metropolitan area between 2006 and 2014.

resultsConditional linear growth curve modeling results indicate that trauma admission rates decreased during the "great recession" of 2008-2010 in neighborhoods with the highest unemployment levels, but increased during the same period of time in neighborhoods with lower unemployment. Consequently, citywide disparities in trauma incidence decreased during the recession and widened again as the economy began to improve.

conclusionTrauma risks and demand for trauma care may shift geographically in relation to broader economic changes. Health care policy and planning should consider these dynamics when anticipating changing demands and needs for efforts at prevention.

Indexed as

Economic RecessionCitiesHumansMichiganPatient AdmissionResidence CharacteristicsRisk FactorsTrauma CentersUnemploymentWounds and InjuriesGrowth curve modelingHealth disparitiesTraumatic injuryUnemployment

Identifiers

PMID29546441

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.