Cargando…

The detection of delirium in admitted oncology patients: a scoping review

PURPOSE: Delirium leads to poor outcomes for patients and careers and has negative impacts on staff and service provision. Cancer rates in elderly populations are increasing and frequently, cancer diagnoses are a co-morbidity in the context of frailty. Data relating to the epidemiology of delirium i...

Descripción completa

Detalles Bibliográficos
Autores principales: Sands, Megan B., Wee, Ian, Agar, Meera, Vardy, Janette L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8860783/
https://www.ncbi.nlm.nih.gov/pubmed/35032322
http://dx.doi.org/10.1007/s41999-021-00586-1
_version_ 1784654749674504192
author Sands, Megan B.
Wee, Ian
Agar, Meera
Vardy, Janette L.
author_facet Sands, Megan B.
Wee, Ian
Agar, Meera
Vardy, Janette L.
author_sort Sands, Megan B.
collection PubMed
description PURPOSE: Delirium leads to poor outcomes for patients and careers and has negative impacts on staff and service provision. Cancer rates in elderly populations are increasing and frequently, cancer diagnoses are a co-morbidity in the context of frailty. Data relating to the epidemiology of delirium in hospitalised cancer patients are limited. With the overarching purpose of improving delirium detection and reducing the morbidity and mortality of delirium in cancer patients, we reviewed the epidemiological data and approach to delirium detection in hospitalised, adult oncology patients. METHODS: MEDLINE, EMBASE, CINAHL, PsycINFO, and SCOPUS databases were searched from January 1996 to August 2017. Key concepts were delirium, cancer, inpatient oncology and delirium screening/detection. RESULTS: Of 896 unique studies identified; 91 met full-text review criteria. Of 12 eligible studies, four applied recommended case ascertainment methods to all patients, three used delirium screening tools alone or with case ascertainment tools sub-optimally applied, four used tools not recommended for delirium screening or case ascertainment, one used the Confusion Assessment Method with insufficient information to determine if it met case ascertainment status. Two studies presented delirium incidence rates: 7.8%, and 17% respectively. Prevalence rates ranged from 18–33% for general medical or oncology wards; 42–58% for Acute Palliative Care Units (APCU); and for older cancer patients: 22% and 57%. Three studies reported reversibility; 26% and 49% respectively (APCUs) and 30% (older patients with cancer). Six studies had a low risk of bias according to QUADAS-2 criteria; all studies in the APCU setting were rated at higher risk of bias. Tool selection, study flow and recruitment bias reduced study quality. CONCLUSION: The knowledge base for improved interventions and clinical care for adults with cancer and delirium is limited by the low number of studies. A clear distinction between screening tools and diagnostic tools is required to provide an improved understanding of the rates of delirium and its reversibility in this population. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s41999-021-00586-1.
format Online
Article
Text
id pubmed-8860783
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Springer International Publishing
record_format MEDLINE/PubMed
spelling pubmed-88607832022-02-23 The detection of delirium in admitted oncology patients: a scoping review Sands, Megan B. Wee, Ian Agar, Meera Vardy, Janette L. Eur Geriatr Med Review PURPOSE: Delirium leads to poor outcomes for patients and careers and has negative impacts on staff and service provision. Cancer rates in elderly populations are increasing and frequently, cancer diagnoses are a co-morbidity in the context of frailty. Data relating to the epidemiology of delirium in hospitalised cancer patients are limited. With the overarching purpose of improving delirium detection and reducing the morbidity and mortality of delirium in cancer patients, we reviewed the epidemiological data and approach to delirium detection in hospitalised, adult oncology patients. METHODS: MEDLINE, EMBASE, CINAHL, PsycINFO, and SCOPUS databases were searched from January 1996 to August 2017. Key concepts were delirium, cancer, inpatient oncology and delirium screening/detection. RESULTS: Of 896 unique studies identified; 91 met full-text review criteria. Of 12 eligible studies, four applied recommended case ascertainment methods to all patients, three used delirium screening tools alone or with case ascertainment tools sub-optimally applied, four used tools not recommended for delirium screening or case ascertainment, one used the Confusion Assessment Method with insufficient information to determine if it met case ascertainment status. Two studies presented delirium incidence rates: 7.8%, and 17% respectively. Prevalence rates ranged from 18–33% for general medical or oncology wards; 42–58% for Acute Palliative Care Units (APCU); and for older cancer patients: 22% and 57%. Three studies reported reversibility; 26% and 49% respectively (APCUs) and 30% (older patients with cancer). Six studies had a low risk of bias according to QUADAS-2 criteria; all studies in the APCU setting were rated at higher risk of bias. Tool selection, study flow and recruitment bias reduced study quality. CONCLUSION: The knowledge base for improved interventions and clinical care for adults with cancer and delirium is limited by the low number of studies. A clear distinction between screening tools and diagnostic tools is required to provide an improved understanding of the rates of delirium and its reversibility in this population. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s41999-021-00586-1. Springer International Publishing 2022-01-15 2022 /pmc/articles/PMC8860783/ /pubmed/35032322 http://dx.doi.org/10.1007/s41999-021-00586-1 Text en © Crown 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Review
Sands, Megan B.
Wee, Ian
Agar, Meera
Vardy, Janette L.
The detection of delirium in admitted oncology patients: a scoping review
title The detection of delirium in admitted oncology patients: a scoping review
title_full The detection of delirium in admitted oncology patients: a scoping review
title_fullStr The detection of delirium in admitted oncology patients: a scoping review
title_full_unstemmed The detection of delirium in admitted oncology patients: a scoping review
title_short The detection of delirium in admitted oncology patients: a scoping review
title_sort detection of delirium in admitted oncology patients: a scoping review
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8860783/
https://www.ncbi.nlm.nih.gov/pubmed/35032322
http://dx.doi.org/10.1007/s41999-021-00586-1
work_keys_str_mv AT sandsmeganb thedetectionofdeliriuminadmittedoncologypatientsascopingreview
AT weeian thedetectionofdeliriuminadmittedoncologypatientsascopingreview
AT agarmeera thedetectionofdeliriuminadmittedoncologypatientsascopingreview
AT vardyjanettel thedetectionofdeliriuminadmittedoncologypatientsascopingreview
AT sandsmeganb detectionofdeliriuminadmittedoncologypatientsascopingreview
AT weeian detectionofdeliriuminadmittedoncologypatientsascopingreview
AT agarmeera detectionofdeliriuminadmittedoncologypatientsascopingreview
AT vardyjanettel detectionofdeliriuminadmittedoncologypatientsascopingreview