Literature DB >> 29467072

Social Gradients in Myocardial Infarction and Stroke Diagnoses in Emergency Medicine.

Christoph Hanefeld1, Alexander Haschemi, Thomas Lampert, Hans J Trampisch, Andreas Mügge, Janine Miebach, Cordula Kloppe, Renate Klaaßen-Mielke.   

Abstract

BACKGROUND: Persons of lower socio-economic status are at higher risk of disease, especially with respect to severe and chronic illnesses. To date, there have not been any studies with large case numbers regarding acute medical emergencies in this population.
METHODS: In a retrospective study, data were obtained on all cases treated by emergency physicians in Bochum, Germany, in 2014/2015, including the diagnoses that were made by the emergency physicians. There were a total of 16 767 cases. The local unemployment rate was taken as an indicator of the socioeconomic situation of a neighborhood; it was defined as the percentage of registered unemployed persons among persons aged 15 to 64 with their domicile in the neighborhood. 12 168 cases were grouped by emergency medical diagnosis and analyzed with respect to the three most heavily represented diagnostic categories (cardiovascular, neurological, and pulmonary emergencies), which accounted for nearly two-thirds of all diagnoses.
RESULTS: The overall rates of deployment involving emergency physicians were found to be positively correlated with the unemployment rate. After adjustment for age, sex, and possible confounders, this correlation was statistically significant (p<0.01). The indirectly standardized rate ratio (IRR) for the overall case-activity rate ranged from 0.841 (95% confidence interval: [0.808; 0.875]) with less than 5% unemployment to 1.212 [1.168; 1.256] with 9.5% unemployment or higher. The same finding was obtained with respect to diagnosis-specific case activity in each of the three main diagnostic categories (cardiovascular, neurological, and pulmonary emergencies), as well as for the respective commonest individual diagnoses (acute coronary syndrome/circulatory arrest [1498 cases], transient ischemic attack/ischemic stroke/intracerebral hemorrhage [1274 cases], and asthma/chronic obstructive pulmonary disease [663 cases]).
CONCLUSION: This study shows that the case-activity rate of the emergency medical services is significantly higher in socially disadvantaged neighborhoods, both with respect to total numbers and with respect to individual diseases. It demonstrates a problem affecting society as a whole, which should be taken into account in the organization of medical rescue services.

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Year:  2018        PMID: 29467072      PMCID: PMC5801481          DOI: 10.3238/arztebl.2018.0041

Source DB:  PubMed          Journal:  Dtsch Arztebl Int        ISSN: 1866-0452            Impact factor:   5.594


  7 in total

Review 1.  Place effects on health: how can we conceptualise, operationalise and measure them?

Authors:  Sally Macintyre; Anne Ellaway; Steven Cummins
Journal:  Soc Sci Med       Date:  2002-07       Impact factor: 4.634

2.  Geographical variation in ambulance calls is associated with socioeconomic status.

Authors:  Arul Earnest; Say Beng Tan; Nur Shahidah; Marcus Eng Hock Ong
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3.  [Social inequality and health: Status and prospects of socio-epidemiological research in Germany].

Authors:  Thomas Lampert; Matthias Richter; Sven Schneider; Jacob Spallek; Nico Dragano
Journal:  Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz       Date:  2016-02       Impact factor: 1.513

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5.  [Do sociodemographic factors influence emergency medical missions? : analysis in the City of Münster].

Authors:  P Engel; T Wilp; R P Lukas; U Harding; T P Weber; H Van Aken; A Bohn
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Review 6.  [Measurement of the socioeconomic status within the German Health Update 2009 (GEDA)].

Authors:  T Lampert; L E Kroll; S Müters; H Stolzenberg
Journal:  Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz       Date:  2013-01       Impact factor: 1.513

7.  Social inequalities in the incidence and case fatality of cancers of the lung, the stomach, the bowels, and the breast.

Authors:  Siegfried Geyer
Journal:  Cancer Causes Control       Date:  2008-04-23       Impact factor: 2.506

  7 in total
  5 in total

1.  Analyzing Socioeconomic Regional Disparities for the Purpose of Healthcare Planning.

Authors:  Steffen Wahler
Journal:  Dtsch Arztebl Int       Date:  2018-06-01       Impact factor: 5.594

2.  In Reply.

Authors:  Christoph Hanefeld
Journal:  Dtsch Arztebl Int       Date:  2018-06-01       Impact factor: 5.594

3.  [Influence of extreme weather conditions on the deployment volume of emergency medical services].

Authors:  C Hanefeld; R Klaaßen-Mielke; J Miebach; S Muthers; A Haschemi; H Trampisch; C Kloppe; A Matzarakis; C Krogias; C Schroeder
Journal:  Med Klin Intensivmed Notfmed       Date:  2019-12-04       Impact factor: 0.840

4.  Social inequalities in mild and severe myocardial infarction: how large is the gap in health expectancies?

Authors:  Jelena Epping; Fabian Tetzlaff; Juliane Tetzlaff; Siegfried Geyer; Mechthild Westhoff-Bleck; Stefanie Sperlich
Journal:  BMC Public Health       Date:  2021-02-01       Impact factor: 3.295

5.  Widening or narrowing income inequalities in myocardial infarction? Time trends in life years free of myocardial infarction and after incidence.

Authors:  Juliane Tetzlaff; Fabian Tetzlaff; Siegfried Geyer; Stefanie Sperlich; Jelena Epping
Journal:  Popul Health Metr       Date:  2021-12-24
  5 in total

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