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Readmission and mortality in patients discharged with a diagnosis of medical observation and evaluation (Z03*-codes) from an acute admission unit in Denmark: a prospective cohort study

Overview of attention for article published in BMC Health Services Research, March 2017
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Title
Readmission and mortality in patients discharged with a diagnosis of medical observation and evaluation (Z03*-codes) from an acute admission unit in Denmark: a prospective cohort study
Published in
BMC Health Services Research, March 2017
DOI 10.1186/s12913-017-2156-9
Pubmed ID
Authors

Kåre Melchior Hansen, Henrik Nielsen, Betina Vest-Hansen, Anders Møllekær, Reimar Wernich Thomsen, Ole Mølgaard, Hans Kirkegaard, Elisabeth Svensson

Abstract

We assessed the 30-day risk of readmission and mortality among patients receiving an International Classification of Diseases 10th edition diagnosis of medical observation and evaluation (Z03*) following admission to an acute medical admission unit (AMAU), stratified on any further specification of diagnosis during hospital stay. We used Central Denmark's (Midt)-Electronic Patient Journal to identify patients with a Z03*-diagnosis among patients admitted to the AMAU, Aarhus University Hospital Nørrebrogade from April 2012 to March 2013, and noted any specification of diagnosis. Patients were followed from hospital discharge until death, emigration, or completion of 30 days follow-up. Of 409 patients with an initial Z03* diagnosis at the AMAU, 55% (n = 226) received a more specific discharge diagnosis after transferral to other departments. Among patients discharged to home with a Z03*-diagnosis, 30% were readmitted within 30 days, while the corresponding figure was 23% for patients receiving a specific diagnosis (p = 0.06). In contrast, corresponding figures for 30-day mortality were 3% for Z03*-diagnosed patients and 10% for those who obtained a specific diagnosis (p = 0.003). Patients diagnosed with Z03* at hospital discharge have a substantially lower 30-day mortality, but a higher readmission-rate, compared to patients who obtain a specific diagnosis during the entire hospital stay.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 22%
Student > Bachelor 4 17%
Student > Ph. D. Student 3 13%
Researcher 3 13%
Other 1 4%
Other 1 4%
Unknown 6 26%
Readers by discipline Count As %
Medicine and Dentistry 10 43%
Nursing and Health Professions 2 9%
Immunology and Microbiology 2 9%
Social Sciences 1 4%
Biochemistry, Genetics and Molecular Biology 1 4%
Other 0 0%
Unknown 7 30%