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Disease-dependent variations in the timing and causes of readmissions in Germany: A claims data analysis for six different conditions
BACKGROUND: Hospital readmissions place a major burden on patients and health care systems worldwide, but little is known about patterns and timing of readmissions in Germany. METHODS: We used German health insurance claims (AOK, 2011–2016) of patients ≥ 65 years hospitalized for acute myocardial in...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8075250/ https://www.ncbi.nlm.nih.gov/pubmed/33901203 http://dx.doi.org/10.1371/journal.pone.0250298 |
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author | Ruff, Carmen Gerharz, Alexander Groll, Andreas Stoll, Felicitas Wirbka, Lucas Haefeli, Walter E. Meid, Andreas D. |
author_facet | Ruff, Carmen Gerharz, Alexander Groll, Andreas Stoll, Felicitas Wirbka, Lucas Haefeli, Walter E. Meid, Andreas D. |
author_sort | Ruff, Carmen |
collection | PubMed |
description | BACKGROUND: Hospital readmissions place a major burden on patients and health care systems worldwide, but little is known about patterns and timing of readmissions in Germany. METHODS: We used German health insurance claims (AOK, 2011–2016) of patients ≥ 65 years hospitalized for acute myocardial infarction (AMI), heart failure (HF), a composite of stroke, transient ischemic attack, or atrial fibrillation (S/AF), chronic obstructive pulmonary disease (COPD), type 2 diabetes mellitus, or osteoporosis to identify hospital readmissions within 30 or 90 days. Readmissions were classified into all-cause, specific, and non-specific and their characteristics were analyzed. RESULTS: Within 30 and 90 days, about 14–22% and 27–41% index admissions were readmitted for any reason, respectively. HF and S/AF contributed most index cases, and HF and COPD accounted for most all-cause readmissions. Distributions and ratios of specific to non-specific readmissions were disease-specific with highest specific readmissions rates among COPD and AMI. CONCLUSION: German claims are well-suited to investigate readmission causes if longer periods than 30 days are evaluated. Conditions closely related with the primary disease are the most frequent readmission causes, but multiple comorbidities among readmitted cases suggest that a multidisciplinary care approach should be implemented vigorously addressing comorbidities already during the index hospitalization. |
format | Online Article Text |
id | pubmed-8075250 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-80752502021-05-05 Disease-dependent variations in the timing and causes of readmissions in Germany: A claims data analysis for six different conditions Ruff, Carmen Gerharz, Alexander Groll, Andreas Stoll, Felicitas Wirbka, Lucas Haefeli, Walter E. Meid, Andreas D. PLoS One Research Article BACKGROUND: Hospital readmissions place a major burden on patients and health care systems worldwide, but little is known about patterns and timing of readmissions in Germany. METHODS: We used German health insurance claims (AOK, 2011–2016) of patients ≥ 65 years hospitalized for acute myocardial infarction (AMI), heart failure (HF), a composite of stroke, transient ischemic attack, or atrial fibrillation (S/AF), chronic obstructive pulmonary disease (COPD), type 2 diabetes mellitus, or osteoporosis to identify hospital readmissions within 30 or 90 days. Readmissions were classified into all-cause, specific, and non-specific and their characteristics were analyzed. RESULTS: Within 30 and 90 days, about 14–22% and 27–41% index admissions were readmitted for any reason, respectively. HF and S/AF contributed most index cases, and HF and COPD accounted for most all-cause readmissions. Distributions and ratios of specific to non-specific readmissions were disease-specific with highest specific readmissions rates among COPD and AMI. CONCLUSION: German claims are well-suited to investigate readmission causes if longer periods than 30 days are evaluated. Conditions closely related with the primary disease are the most frequent readmission causes, but multiple comorbidities among readmitted cases suggest that a multidisciplinary care approach should be implemented vigorously addressing comorbidities already during the index hospitalization. Public Library of Science 2021-04-26 /pmc/articles/PMC8075250/ /pubmed/33901203 http://dx.doi.org/10.1371/journal.pone.0250298 Text en © 2021 Ruff et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Ruff, Carmen Gerharz, Alexander Groll, Andreas Stoll, Felicitas Wirbka, Lucas Haefeli, Walter E. Meid, Andreas D. Disease-dependent variations in the timing and causes of readmissions in Germany: A claims data analysis for six different conditions |
title | Disease-dependent variations in the timing and causes of readmissions in Germany: A claims data analysis for six different conditions |
title_full | Disease-dependent variations in the timing and causes of readmissions in Germany: A claims data analysis for six different conditions |
title_fullStr | Disease-dependent variations in the timing and causes of readmissions in Germany: A claims data analysis for six different conditions |
title_full_unstemmed | Disease-dependent variations in the timing and causes of readmissions in Germany: A claims data analysis for six different conditions |
title_short | Disease-dependent variations in the timing and causes of readmissions in Germany: A claims data analysis for six different conditions |
title_sort | disease-dependent variations in the timing and causes of readmissions in germany: a claims data analysis for six different conditions |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8075250/ https://www.ncbi.nlm.nih.gov/pubmed/33901203 http://dx.doi.org/10.1371/journal.pone.0250298 |
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