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Epidemiology and Predictors of all-cause 30-Day readmission in patients with sickle cell crisis

The 30-day readmission rate after hospitalization for a sickle cell crisis (SCC) is extremely high. Accurate information on readmission diagnoses, total readmission costs and factors associated with readmission is required to effectively plan resource allocation and to plan interventions to reduce r...

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Autores principales: Kumar, Vivek, Chaudhary, Neha, Achebe, Maureen M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7005718/
https://www.ncbi.nlm.nih.gov/pubmed/32034210
http://dx.doi.org/10.1038/s41598-020-58934-3
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author Kumar, Vivek
Chaudhary, Neha
Achebe, Maureen M.
author_facet Kumar, Vivek
Chaudhary, Neha
Achebe, Maureen M.
author_sort Kumar, Vivek
collection PubMed
description The 30-day readmission rate after hospitalization for a sickle cell crisis (SCC) is extremely high. Accurate information on readmission diagnoses, total readmission costs and factors associated with readmission is required to effectively plan resource allocation and to plan interventions to reduce readmission rates. The present study aimed to examine readmission diagnoses and factors associated with all-cause 30-day readmission after hospitalization for SCC. We analyzed 2016 nationwide readmission database (NRD) to identify patterns of 30-day readmission by patient demographic characteristics and time after hospitalization for SCC. We estimated the percentage and most common readmission diagnoses for 30-day and 7-day readmissions after discharge. We studied the relationship between risk factors and readmission and the impact of readmission on patient outcomes and resulting financial burden on health care in dollars. In 2016, of 67,887 discharges after index hospitalizations, 18099 (26.9%) were readmitted within 30-days. Of all readmissions, 5166 (7.6%) were readmitted within 7 days. The spectrum of readmission diagnoses was largely similar in both 30-day and 7-day readmission with more than 80% patients in both time periods readmitted with diagnoses related to SCC. The mean length of stay for readmitted patients was significantly longer than the index hospitalization (5.3 days (5.1–5.5) vs 4.9 days (CI 4.8–5.1, p < 0.01). Also, the mean cost of hospitalization in readmitted patients $8485 was significantly higher than the index hospitalization $8064 p < 0.01. In 2016, readmission among patients with SCC incurred an additional 95,445 hospitalization days resulting a total charge of $609 million and a total cost of $152 million in the US. On Multivariate analysis, age group 18–30 years, discharge against medical advice, higher Charlson comorbidity index, low socioeconomic status and admission at high volume centers were associated with a higher likelihood of 30-day readmission. Among patients hospitalized for SCC, 30-day readmissions were frequent throughout the month post hospitalization and resulted in an enormous financial burden on the United States healthcare system.
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spelling pubmed-70057182020-02-18 Epidemiology and Predictors of all-cause 30-Day readmission in patients with sickle cell crisis Kumar, Vivek Chaudhary, Neha Achebe, Maureen M. Sci Rep Article The 30-day readmission rate after hospitalization for a sickle cell crisis (SCC) is extremely high. Accurate information on readmission diagnoses, total readmission costs and factors associated with readmission is required to effectively plan resource allocation and to plan interventions to reduce readmission rates. The present study aimed to examine readmission diagnoses and factors associated with all-cause 30-day readmission after hospitalization for SCC. We analyzed 2016 nationwide readmission database (NRD) to identify patterns of 30-day readmission by patient demographic characteristics and time after hospitalization for SCC. We estimated the percentage and most common readmission diagnoses for 30-day and 7-day readmissions after discharge. We studied the relationship between risk factors and readmission and the impact of readmission on patient outcomes and resulting financial burden on health care in dollars. In 2016, of 67,887 discharges after index hospitalizations, 18099 (26.9%) were readmitted within 30-days. Of all readmissions, 5166 (7.6%) were readmitted within 7 days. The spectrum of readmission diagnoses was largely similar in both 30-day and 7-day readmission with more than 80% patients in both time periods readmitted with diagnoses related to SCC. The mean length of stay for readmitted patients was significantly longer than the index hospitalization (5.3 days (5.1–5.5) vs 4.9 days (CI 4.8–5.1, p < 0.01). Also, the mean cost of hospitalization in readmitted patients $8485 was significantly higher than the index hospitalization $8064 p < 0.01. In 2016, readmission among patients with SCC incurred an additional 95,445 hospitalization days resulting a total charge of $609 million and a total cost of $152 million in the US. On Multivariate analysis, age group 18–30 years, discharge against medical advice, higher Charlson comorbidity index, low socioeconomic status and admission at high volume centers were associated with a higher likelihood of 30-day readmission. Among patients hospitalized for SCC, 30-day readmissions were frequent throughout the month post hospitalization and resulted in an enormous financial burden on the United States healthcare system. Nature Publishing Group UK 2020-02-07 /pmc/articles/PMC7005718/ /pubmed/32034210 http://dx.doi.org/10.1038/s41598-020-58934-3 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Kumar, Vivek
Chaudhary, Neha
Achebe, Maureen M.
Epidemiology and Predictors of all-cause 30-Day readmission in patients with sickle cell crisis
title Epidemiology and Predictors of all-cause 30-Day readmission in patients with sickle cell crisis
title_full Epidemiology and Predictors of all-cause 30-Day readmission in patients with sickle cell crisis
title_fullStr Epidemiology and Predictors of all-cause 30-Day readmission in patients with sickle cell crisis
title_full_unstemmed Epidemiology and Predictors of all-cause 30-Day readmission in patients with sickle cell crisis
title_short Epidemiology and Predictors of all-cause 30-Day readmission in patients with sickle cell crisis
title_sort epidemiology and predictors of all-cause 30-day readmission in patients with sickle cell crisis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7005718/
https://www.ncbi.nlm.nih.gov/pubmed/32034210
http://dx.doi.org/10.1038/s41598-020-58934-3
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