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Readmission rates and predictors of avoidable readmissions in older adults in a tertiary care centre

CONTEXT: Thirty-day readmissions are used to gauge health care accountability, which occurs as part of the natural course of the illness or due to avoidable fallacies during the index admission. The utility of this metric is unknown in older adults from developing countries. AIM: To ascertain the un...

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Autores principales: Samuel, Stephen V., Viggeswarpu, Surekha, Wilson, Benny P., Ganesan, Maya P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9730993/
https://www.ncbi.nlm.nih.gov/pubmed/36505554
http://dx.doi.org/10.4103/jfmpc.jfmpc_1957_21
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author Samuel, Stephen V.
Viggeswarpu, Surekha
Wilson, Benny P.
Ganesan, Maya P.
author_facet Samuel, Stephen V.
Viggeswarpu, Surekha
Wilson, Benny P.
Ganesan, Maya P.
author_sort Samuel, Stephen V.
collection PubMed
description CONTEXT: Thirty-day readmissions are used to gauge health care accountability, which occurs as part of the natural course of the illness or due to avoidable fallacies during the index admission. The utility of this metric is unknown in older adults from developing countries. AIM: To ascertain the unplanned 30-day readmission rate and enumerate predictors of avoidable hospital readmission among early (0–7 days) and late (8–30 days) readmissions. SETTINGS AND DESIGN: A retrospective chart audit of 140 older adults who were readmitted to a premier tertiary care teaching hospital under Geriatrics from the neighboring states of Tamil Nadu, Andhra Pradesh, and Kerala were undertaken. METHODS AND MATERIALS: Data from health records were collected from the hospital electronic database from May 2015 to May 2020. The data was reviewed to determine the 30-day readmission rate and to ascertain the predictors of avoidable readmissions among both early and late readmissions. RESULTS: Out of 2698 older adults admitted to the geriatric wards from the catchment areas, the calculated 30-day hospital readmission rate was 5.18%, and 41.4% of these readmissions were potentially avoidable. The median duration from discharge to the first readmission was ten days (Interquartile range: 5–18 days). Patients had to spend INR 44,000 (approximately 602 USD) towards avoidable readmission. The most common causes for readmission included an exacerbation, reactivation, or progression of a previously existing disease (55.7%), followed by the emergence of a new disease unrelated to index admission (43.2%). Fifty-eight patients (41.4%) were readmitted within seven days following discharge. Early readmissions were seen in patients with malignancies [8 (13.5%) vs. 4 (4.8%); P = 0.017], on insulin (P = 0.04) or on antidepressants (P = 0.01). Advanced age was found to be an independent predictor of avoidable early readmission (OR 2.99 95%CI 1.34–6.62, P = 0.007), and admission to a general ward (as compared to those admitted in a private ward) was an independent predictor of early readmissions (OR 2.99 95%CI 1.34–6.62, P = 0.007). CONCLUSION: The 30-day readmission rate in a geriatric unit in a tertiary care hospital was 5.2%. Advanced age was considered to be an independent predictor of avoidable early readmission. Future prospective research on avoidable readmissions should be undertaken to delineate factors affecting 30-day avoidable hospital readmissions in developing nations.
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spelling pubmed-97309932022-12-09 Readmission rates and predictors of avoidable readmissions in older adults in a tertiary care centre Samuel, Stephen V. Viggeswarpu, Surekha Wilson, Benny P. Ganesan, Maya P. J Family Med Prim Care Original Article CONTEXT: Thirty-day readmissions are used to gauge health care accountability, which occurs as part of the natural course of the illness or due to avoidable fallacies during the index admission. The utility of this metric is unknown in older adults from developing countries. AIM: To ascertain the unplanned 30-day readmission rate and enumerate predictors of avoidable hospital readmission among early (0–7 days) and late (8–30 days) readmissions. SETTINGS AND DESIGN: A retrospective chart audit of 140 older adults who were readmitted to a premier tertiary care teaching hospital under Geriatrics from the neighboring states of Tamil Nadu, Andhra Pradesh, and Kerala were undertaken. METHODS AND MATERIALS: Data from health records were collected from the hospital electronic database from May 2015 to May 2020. The data was reviewed to determine the 30-day readmission rate and to ascertain the predictors of avoidable readmissions among both early and late readmissions. RESULTS: Out of 2698 older adults admitted to the geriatric wards from the catchment areas, the calculated 30-day hospital readmission rate was 5.18%, and 41.4% of these readmissions were potentially avoidable. The median duration from discharge to the first readmission was ten days (Interquartile range: 5–18 days). Patients had to spend INR 44,000 (approximately 602 USD) towards avoidable readmission. The most common causes for readmission included an exacerbation, reactivation, or progression of a previously existing disease (55.7%), followed by the emergence of a new disease unrelated to index admission (43.2%). Fifty-eight patients (41.4%) were readmitted within seven days following discharge. Early readmissions were seen in patients with malignancies [8 (13.5%) vs. 4 (4.8%); P = 0.017], on insulin (P = 0.04) or on antidepressants (P = 0.01). Advanced age was found to be an independent predictor of avoidable early readmission (OR 2.99 95%CI 1.34–6.62, P = 0.007), and admission to a general ward (as compared to those admitted in a private ward) was an independent predictor of early readmissions (OR 2.99 95%CI 1.34–6.62, P = 0.007). CONCLUSION: The 30-day readmission rate in a geriatric unit in a tertiary care hospital was 5.2%. Advanced age was considered to be an independent predictor of avoidable early readmission. Future prospective research on avoidable readmissions should be undertaken to delineate factors affecting 30-day avoidable hospital readmissions in developing nations. Wolters Kluwer - Medknow 2022-09 2022-10-14 /pmc/articles/PMC9730993/ /pubmed/36505554 http://dx.doi.org/10.4103/jfmpc.jfmpc_1957_21 Text en Copyright: © 2022 Journal of Family Medicine and Primary Care https://creativecommons.org/licenses/by-nc-sa/4.0/This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
spellingShingle Original Article
Samuel, Stephen V.
Viggeswarpu, Surekha
Wilson, Benny P.
Ganesan, Maya P.
Readmission rates and predictors of avoidable readmissions in older adults in a tertiary care centre
title Readmission rates and predictors of avoidable readmissions in older adults in a tertiary care centre
title_full Readmission rates and predictors of avoidable readmissions in older adults in a tertiary care centre
title_fullStr Readmission rates and predictors of avoidable readmissions in older adults in a tertiary care centre
title_full_unstemmed Readmission rates and predictors of avoidable readmissions in older adults in a tertiary care centre
title_short Readmission rates and predictors of avoidable readmissions in older adults in a tertiary care centre
title_sort readmission rates and predictors of avoidable readmissions in older adults in a tertiary care centre
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9730993/
https://www.ncbi.nlm.nih.gov/pubmed/36505554
http://dx.doi.org/10.4103/jfmpc.jfmpc_1957_21
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