Evidence map›Paper›PMID 34178741›Full record

ArticleIranian journal of public health2020

Discrepancy between Admission and Discharge Diagnoses in Central Serbia: Analysis by the Groups of International Classification of Diseases, 10th Revision.

Natasa Mihailovic, Dragan Vasiljevic, Vesna Milicic, Marina Luketina Sunjka, Snezana Radovanovi, Biljana Milicic, Sanja Kocic

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Article in Iranian journal of public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

5 citing papers in PubMed.

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4 · The record

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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

7 authors.

Natasa MihailovicInstitute of Public Health Kragujevac, Kragujevac, Serbia.
Dragan VasiljevicInstitute of Public Health Kragujevac, Kragujevac, Serbia.
Vesna MilicicDepartment of Dermatovenerology, Faculty of Medical Sciences, University of Kragujevac, Kragujevac, Serbia.
Marina Luketina SunjkaEuropean Center for Peace and Development, University for Peace Established by the United Nations, Belgrade, Serbia.
Snezana RadovanoviInstitute of Public Health Kragujevac, Kragujevac, Serbia.
Biljana MilicicDepartment for Medical Statistics and Informatics, School of Dental Medicine University of Belgrade, Belgrade, Serbia.
Sanja KocicInstitute of Public Health Kragujevac, Kragujevac, Serbia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRepeated research while using the same methodology can be useful and it can enable relevant conclusions in the same health care system. The aim of our study was to perform comparative analysis of the agreement between admission and discharge diagnostic groups in period 2014-2017 with period 2006-2013 in the Clinical Center of Kragujevac, Serbia.

methodsThe 5% simple, random sample was made from the basic set of all hospital reports from Clinical Centre Kragujevac, Serbia, in the period 01.01. 2014 - 31.12. 2017 (n=10228). The first four digits of ICD-10 codes at admission and discharge were compared for agreement. We used discharge diagnosis as a "golden standard". Statistical analysis was performed using Cohen's Kappa statistic.

resultsIn the period 2014-2017, agreement between diagnosis among the most ICD10 groups increased in comparison with the period 2006-2013. Disagreements between diagnosis in the period 2014-2017 in comparation with period 2006-2013 was associated with increased length of stay in the hospital (7.5 vs. 9.1 days,

conclusionAgreement between admission and discharge diagnosis among the most ICD10 diagnostic groups increased. Introduction of a new web application has increased the quality of data, but interpreting it requires the skill of researchers. Further research should identify modifiable causes of discrepancy between admission and discharge diagnoses.

Indexed as

Admission diagnosisDischarge diagnosisHospital databases

Identifiers

PMID34178741
PMCPMC8215055

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