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Preventable emergency admissions of older adults: an observational mixed-method study of rates, associative factors and underlying causes in two Dutch hospitals

OBJECTIVE: Older adults are hospitalised from the emergency department (ED) without potentially needing hospital care. Knowledge about rates, associative factors and causes of these preventable emergency admissions (PEAs) is limited. This study aimed to determine the rates, associative factors and c...

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Autores principales: van den Broek, Steef, Heiwegen, Nikki, Verhofstad, Margot, Akkermans, Reinier, van Westerop, Liselore, Schoon, Yvonne, Hesselink, Gijs
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7682455/
https://www.ncbi.nlm.nih.gov/pubmed/33444202
http://dx.doi.org/10.1136/bmjopen-2020-040431
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author van den Broek, Steef
Heiwegen, Nikki
Verhofstad, Margot
Akkermans, Reinier
van Westerop, Liselore
Schoon, Yvonne
Hesselink, Gijs
author_facet van den Broek, Steef
Heiwegen, Nikki
Verhofstad, Margot
Akkermans, Reinier
van Westerop, Liselore
Schoon, Yvonne
Hesselink, Gijs
author_sort van den Broek, Steef
collection PubMed
description OBJECTIVE: Older adults are hospitalised from the emergency department (ED) without potentially needing hospital care. Knowledge about rates, associative factors and causes of these preventable emergency admissions (PEAs) is limited. This study aimed to determine the rates, associative factors and causes for PEAs of older adults. DESIGN: A mixed-method observational study. SETTING: The EDs of two Dutch hospitals. PARTICIPANTS: 492 patients aged >70 years and hospitalised from the ED. MEASUREMENTS: Quantitative data were retrospectively extracted from the electronical medical record over a 1-month period. Admissions were classified (non)preventable based on a standardised approach. Univariate and multivariate multilevel logistic regression analyses were performed to identify possible associations between PEAs and demographic, clinical and care process factors. Qualitative data were prospectively collected by email and telephone interviews and analysed thematically to explore hospital physician’s perceived causes for the identified PEAs. RESULTS: Of the 492 included cases, 86 (17.5%) were classified as PEA. Patients with a higher age (adjusted OR 1.04, 95% CI 1.01 to 1.08; p=0.04), a low urgency classification (adjusted OR 1.89, 95% CI 1.14 to 3.15; p=0.01), and attending the ED in the weekend (adjusted OR 2.02, 95% CI 1.22 to 3.37; p<0.01) were associated with an increased likelihood of a PEA. 49 physicians were interviewed by telephone and email. Perceived causes for PEAs were related to patient’s attitudes (eg, postponement of medical care at home), provider’s attitudes (eg, deciding for admission after family pressure), health system deficiencies (eg, limited access to community services during out-of-hours and delayed access to inpatient diagnostic resources) and poor communication between primary care and hospital professionals about patient treatment preferences. CONCLUSIONS: Our findings contribute to existing evidence that many emergency admissions of older adults are preventable, thereby indicating a possible source of unnecessary expensive, and potentially harmful, hospital care.
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spelling pubmed-76824552020-11-24 Preventable emergency admissions of older adults: an observational mixed-method study of rates, associative factors and underlying causes in two Dutch hospitals van den Broek, Steef Heiwegen, Nikki Verhofstad, Margot Akkermans, Reinier van Westerop, Liselore Schoon, Yvonne Hesselink, Gijs BMJ Open Emergency Medicine OBJECTIVE: Older adults are hospitalised from the emergency department (ED) without potentially needing hospital care. Knowledge about rates, associative factors and causes of these preventable emergency admissions (PEAs) is limited. This study aimed to determine the rates, associative factors and causes for PEAs of older adults. DESIGN: A mixed-method observational study. SETTING: The EDs of two Dutch hospitals. PARTICIPANTS: 492 patients aged >70 years and hospitalised from the ED. MEASUREMENTS: Quantitative data were retrospectively extracted from the electronical medical record over a 1-month period. Admissions were classified (non)preventable based on a standardised approach. Univariate and multivariate multilevel logistic regression analyses were performed to identify possible associations between PEAs and demographic, clinical and care process factors. Qualitative data were prospectively collected by email and telephone interviews and analysed thematically to explore hospital physician’s perceived causes for the identified PEAs. RESULTS: Of the 492 included cases, 86 (17.5%) were classified as PEA. Patients with a higher age (adjusted OR 1.04, 95% CI 1.01 to 1.08; p=0.04), a low urgency classification (adjusted OR 1.89, 95% CI 1.14 to 3.15; p=0.01), and attending the ED in the weekend (adjusted OR 2.02, 95% CI 1.22 to 3.37; p<0.01) were associated with an increased likelihood of a PEA. 49 physicians were interviewed by telephone and email. Perceived causes for PEAs were related to patient’s attitudes (eg, postponement of medical care at home), provider’s attitudes (eg, deciding for admission after family pressure), health system deficiencies (eg, limited access to community services during out-of-hours and delayed access to inpatient diagnostic resources) and poor communication between primary care and hospital professionals about patient treatment preferences. CONCLUSIONS: Our findings contribute to existing evidence that many emergency admissions of older adults are preventable, thereby indicating a possible source of unnecessary expensive, and potentially harmful, hospital care. BMJ Publishing Group 2020-11-20 /pmc/articles/PMC7682455/ /pubmed/33444202 http://dx.doi.org/10.1136/bmjopen-2020-040431 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/ http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Emergency Medicine
van den Broek, Steef
Heiwegen, Nikki
Verhofstad, Margot
Akkermans, Reinier
van Westerop, Liselore
Schoon, Yvonne
Hesselink, Gijs
Preventable emergency admissions of older adults: an observational mixed-method study of rates, associative factors and underlying causes in two Dutch hospitals
title Preventable emergency admissions of older adults: an observational mixed-method study of rates, associative factors and underlying causes in two Dutch hospitals
title_full Preventable emergency admissions of older adults: an observational mixed-method study of rates, associative factors and underlying causes in two Dutch hospitals
title_fullStr Preventable emergency admissions of older adults: an observational mixed-method study of rates, associative factors and underlying causes in two Dutch hospitals
title_full_unstemmed Preventable emergency admissions of older adults: an observational mixed-method study of rates, associative factors and underlying causes in two Dutch hospitals
title_short Preventable emergency admissions of older adults: an observational mixed-method study of rates, associative factors and underlying causes in two Dutch hospitals
title_sort preventable emergency admissions of older adults: an observational mixed-method study of rates, associative factors and underlying causes in two dutch hospitals
topic Emergency Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7682455/
https://www.ncbi.nlm.nih.gov/pubmed/33444202
http://dx.doi.org/10.1136/bmjopen-2020-040431
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