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Merrick E, Bloomfield K, Seplaki C, Shannon K, Wham C, Winnington R, Neville S, Bail K, Fry M, Turner M, MacFarlane J. A systematic review of reasons and risks for acute service use by older adult residents of long-term care. J Clin Nurs 2024. [PMID: 38616544 DOI: 10.1111/jocn.17165] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Revised: 03/18/2024] [Accepted: 03/25/2024] [Indexed: 04/16/2024]
Abstract
AIMS AND OBJECTIVES To identify the reasons and/or risk factors for hospital admission and/or emergency department attendance for older (≥60 years) residents of long-term care facilities. BACKGROUND Older adults' use of acute services is associated with significant financial and social costs. A global understanding of the reasons for the use of acute services may allow for early identification and intervention, avoid clinical deterioration, reduce the demand for health services and improve quality of life. DESIGN Systematic review registered in PROSPERO (CRD42022326964) and reported following PRISMA guidelines. METHODS The search strategy was developed in consultation with an academic librarian. The strategy used MeSH terms and relevant keywords. Articles published since 2017 in English were eligible for inclusion. CINAHL, MEDLINE, Scopus and Web of Science Core Collection were searched (11/08/22). Title, abstract, and full texts were screened against the inclusion/exclusion criteria; data extraction was performed two blinded reviewers. Quality of evidence was assessed using the NewCastle Ottawa Scale (NOS). RESULTS Thirty-nine articles were eligible and included in this review; included research was assessed as high-quality with a low risk of bias. Hospital admission was reported as most likely to occur during the first year of residence in long-term care. Respiratory and cardiovascular diagnoses were frequently associated with acute services use. Frailty, hypotensive medications, falls and inadequate nutrition were associated with unplanned service use. CONCLUSIONS Modifiable risks have been identified that may act as a trigger for assessment and be amenable to early intervention. Coordinated intervention may have significant individual, social and economic benefits. RELEVANCE TO CLINICAL PRACTICE This review has identified several modifiable reasons for acute service use by older adults. Early and coordinated intervention may reduce the risk of hospital admission and/or emergency department. REPORTING METHOD This systematic review was conducted and reported following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology. PATIENT OR PUBLIC CONTRIBUTION No patient or public contribution.
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Affiliation(s)
- Eamon Merrick
- Faculty of Health, University of Technology Sydney and Northern Sydney Local Health District, Sydney, New South Wales, Australia
| | - Katherine Bloomfield
- Department of Medicine, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
- Older Adult Services, Te Whatu Ora Waitematā, Auckland, New Zealand
| | - Christopher Seplaki
- Department of Public Health Sciences and Psychiatry, University of Rochester School of Medicine and Dentistry, Rochester, New York, USA
| | - Kay Shannon
- School of Clinical Science, Auckland University of Technology, Auckland, New Zealand
| | - Carol Wham
- School of Sport, Exercise and Nutrition, Massey University, Palmerston North, New Zealand
| | - Rhona Winnington
- School of Clinical Science, Auckland University of Technology, Auckland, New Zealand
| | - Stephen Neville
- Department of Wellbeing and Ageing, Auckland University of Technology, Auckland, New Zealand
| | - Kasia Bail
- Department of Nursing, University of Canberra, Canberra, Australia
| | - Margaret Fry
- Faculty of Health, University of Technology Sydney and Northern Sydney Local Health District, Sydney, New South Wales, Australia
| | - Murray Turner
- Faculty of Health, University of Canberra, Canberra, Australia
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Albanesi B, Conti A, Politano G, Dimonte V, Gianino MM, Campagna S. Emergency department visits by nursing home residents. A retrospective Italian study of administrative databases from 2015 to 2019. BMC Geriatr 2024; 24:295. [PMID: 38549053 PMCID: PMC10976813 DOI: 10.1186/s12877-024-04912-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Accepted: 03/21/2024] [Indexed: 04/01/2024] Open
Abstract
BACKGROUND Visits to Emergency Departments (ED) can be traumatic for Nursing Home (NH) residents. In Italy, the rate of ED visits by NH residents was recently calculated as 3.3%. The reduction of inappropriate ED visits represents a priority for National Healthcare Systems worldwide. Nevertheless, research on factors associated with ED visits is still under-studied in the Italian setting. This study has two main aims: (i) to describe the baseline characteristics of NH residents visiting ED at regional level; (ii) to assess the characteristics, trends, and factors associated with these visits. METHODS A retrospective study of administrative data for five years was performed in the Piedmont Region. Data from 24,208 NH residents were analysed. Data were obtained by merging two ministerial databases of residential care and ED use. Sociodemographic and clinical characteristics of the residents, trends, and rates of ED visits were collected. A Generalized Linear Model (GLM) regression was used to evaluate the factors associated with ED visits. RESULTS In 5 years, 12,672 residents made 24,609 ED visits. Aspecific symptoms (45%), dyspnea (17%) and trauma (16%) were the most frequent problems reported at ED. 51% of these visits were coded as non-critical, and 58% were discharged to the NH. The regression analysis showed an increased risk of ED visits for men (OR = 1.61, 95% CI 1.51-1.70) and for residents with a stay in NH longer than 400 days (OR = 2.19, 95% CI 2.08-2.31). CONCLUSIONS Our study indicates that more than half of NH residents' ED visits could potentially be prevented by treating residents in NH. Investments in the creation of a structured and effective network within primary care services, promoting the use of health technology and palliative care approaches, could reduce ED visits and help clinicians manage residents on-site and remotely.
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Affiliation(s)
- Beatrice Albanesi
- Department of Sciences of Public Health and Pediatrics, University of Turin, Via Santena 5 bis, Turin, 10126, Italy
| | - Alessio Conti
- Department of Sciences of Public Health and Pediatrics, University of Turin, Via Santena 5 bis, Turin, 10126, Italy.
| | - Gianfranco Politano
- Department of Control and Computer Engineering, Politecnico di Torino, Turin, Italy
| | - Valerio Dimonte
- Department of Sciences of Public Health and Pediatrics, University of Turin, Via Santena 5 bis, Turin, 10126, Italy
| | - Maria Michela Gianino
- Department of Sciences of Public Health and Pediatrics, University of Turin, Via Santena 5 bis, Turin, 10126, Italy
| | - Sara Campagna
- Department of Sciences of Public Health and Pediatrics, University of Turin, Via Santena 5 bis, Turin, 10126, Italy
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Aryal K, Mowbray FI, Miroshnychenko A, Strum RP, Dash D, Hillmer MP, Malikov K, Costa AP, Jones A. Evaluating methods for risk prediction of Covid-19 mortality in nursing home residents before and after vaccine availability: a retrospective cohort study. BMC Med Res Methodol 2024; 24:77. [PMID: 38539074 PMCID: PMC10976701 DOI: 10.1186/s12874-024-02189-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Accepted: 02/22/2024] [Indexed: 04/07/2024] Open
Abstract
BACKGROUND SARS-CoV-2 vaccines are effective in reducing hospitalization, COVID-19 symptoms, and COVID-19 mortality for nursing home (NH) residents. We sought to compare the accuracy of various machine learning models, examine changes to model performance, and identify resident characteristics that have the strongest associations with 30-day COVID-19 mortality, before and after vaccine availability. METHODS We conducted a population-based retrospective cohort study analyzing data from all NH facilities across Ontario, Canada. We included all residents diagnosed with SARS-CoV-2 and living in NHs between March 2020 and July 2021. We employed five machine learning algorithms to predict COVID-19 mortality, including logistic regression, LASSO regression, classification and regression trees (CART), random forests, and gradient boosted trees. The discriminative performance of the models was evaluated using the area under the receiver operating characteristic curve (AUC) for each model using 10-fold cross-validation. Model calibration was determined through evaluation of calibration slopes. Variable importance was calculated by repeatedly and randomly permutating the values of each predictor in the dataset and re-evaluating the model's performance. RESULTS A total of 14,977 NH residents and 20 resident characteristics were included in the model. The cross-validated AUCs were similar across algorithms and ranged from 0.64 to 0.67. Gradient boosted trees and logistic regression had an AUC of 0.67 pre- and post-vaccine availability. CART had the lowest discrimination ability with an AUC of 0.64 pre-vaccine availability, and 0.65 post-vaccine availability. The most influential resident characteristics, irrespective of vaccine availability, included advanced age (≥ 75 years), health instability, functional and cognitive status, sex (male), and polypharmacy. CONCLUSIONS The predictive accuracy and discrimination exhibited by all five examined machine learning algorithms were similar. Both logistic regression and gradient boosted trees exhibit comparable performance and display slight superiority over other machine learning algorithms. We observed consistent model performance both before and after vaccine availability. The influence of resident characteristics on COVID-19 mortality remained consistent across time periods, suggesting that changes to pre-vaccination screening practices for high-risk individuals are effective in the post-vaccination era.
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Affiliation(s)
- Komal Aryal
- Department of Health Research Methods, Evidence, and Impact, McMaster University, 1280 Main St W, Hamilton, ON, L8S 4L8, Canada.
- ICES, Hamilton, ON, Canada.
| | - Fabrice I Mowbray
- College of Nursing, Michigan State University, East Lansing, MI, USA
| | - Anna Miroshnychenko
- Department of Health Research Methods, Evidence, and Impact, McMaster University, 1280 Main St W, Hamilton, ON, L8S 4L8, Canada
| | - Ryan P Strum
- Department of Health Research Methods, Evidence, and Impact, McMaster University, 1280 Main St W, Hamilton, ON, L8S 4L8, Canada
| | - Darly Dash
- Department of Health Research Methods, Evidence, and Impact, McMaster University, 1280 Main St W, Hamilton, ON, L8S 4L8, Canada
| | - Michael P Hillmer
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Canada
- Capacity Planning and Analytics, Ontario Ministry of Health, Toronto, Canada
| | - Kamil Malikov
- Capacity Planning and Analytics, Ontario Ministry of Health, Toronto, Canada
| | - Andrew P Costa
- Department of Health Research Methods, Evidence, and Impact, McMaster University, 1280 Main St W, Hamilton, ON, L8S 4L8, Canada
- ICES, Hamilton, ON, Canada
| | - Aaron Jones
- Department of Health Research Methods, Evidence, and Impact, McMaster University, 1280 Main St W, Hamilton, ON, L8S 4L8, Canada
- ICES, Hamilton, ON, Canada
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Koch M, Szabó É, Varga C, Soós V, Prenek L, Porcsa L, Bellyei S, Girán K, Girán J, Kiss I, Pozsgai É. Retrospective study of cancer patients' predictive factors of care in a large, Hungarian tertiary care centre. BMJ Open 2023; 13:e070320. [PMID: 37156589 PMCID: PMC10174014 DOI: 10.1136/bmjopen-2022-070320] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/10/2023] Open
Abstract
OBJECTIVES To identify predictive factors of multiple emergency department (ED) visits, hospitalisation and potentially preventable ED visits made by patients with cancer in a Hungarian tertiary care centre. DESIGN Observational, retrospective study. SETTING A large, public tertiary hospital, in Somogy County, Hungary, with a level 3 emergency and trauma centre and a dedicated cancer centre. PARTICIPANTS Patients above 18 years with a cancer diagnosis (International Classification of Diseases, 10th Revision codes of C0000-C9670) who visited the ED in 2018, who had received their diagnosis of cancer within 5 years of their first ED visit in 2018 or received their diagnosis of cancer latest within the study year. Cases diagnosed with cancer at the ED (new cancer diagnosis-related ED visits) were also included, constituting 7.9% of visits. PRIMARY OUTCOME MEASURES Demographic and clinical characteristics were collected and the predictors of multiple (≥2) ED visits within the study year, admission to inpatient care following the ED visit (hospitalisation), potentially preventable ED visits and death within 36 months were determined. RESULTS 2383 ED visits made by 1512 patients with cancer were registered. Predictive factors of multiple (≥2) ED visits were residing in a nursing home (OR 3.09, 95% CI 1.88 to 5.07) and prior hospice care (OR 1.87, 95% CI 1.05 to 3.31). Predictive factors for hospitalisation following an ED visit included a new cancer diagnosis-related visit (OR 1.86, 95% CI 1.30 to 2.66) and complaint of dyspnoea (OR 1.61, 95% CI 1.22 to 2.12). CONCLUSIONS Being a resident of a nursing home and receiving prior hospice care significantly increased the odds of multiple ED visits, while new cancer-related ED visits independently increased the odds of hospitalisation of patients with cancer. This is the first study to report these associations from a Central-Eastern European country. Our study may shed light on the specific challenges of EDs in general and particularly faced by countries in the region.
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Affiliation(s)
- Márton Koch
- Department of Emergency Medicine, Somogy County Kaposi Mór General Hospital, Kaposvár, Hungary
| | - Éva Szabó
- Department of Otorhinolaryngology, University of Pécs Clinical Center, Pecs, Hungary
| | - Csaba Varga
- Department of Emergency Medicine, Somogy County Kaposi Mór General Hospital, Kaposvár, Hungary
- Department of Emergency Medicine, Semmelweis University, Budapest, Hungary
| | - Viktor Soós
- Department of Emergency Medicine, Somogy County Kaposi Mór General Hospital, Kaposvár, Hungary
| | - Lilla Prenek
- Department of Emergency Medicine, Somogy County Kaposi Mór General Hospital, Kaposvár, Hungary
| | - Lili Porcsa
- Department of Emergency Medicine, Somogy County Kaposi Mór General Hospital, Kaposvár, Hungary
| | - Szabolcs Bellyei
- Department of Oncotherapy, University of Pécs Clinical Center, Pecs, Hungary
| | - Kyra Girán
- Faculty of Social and Behavioural Sciences, Utrecht University, Utrecht, The Netherlands
| | - János Girán
- Department of Public Health, Pécsi Tudományegyetem Általános Orvostudományi Kar, Pecs, Hungary
| | - István Kiss
- Department of Public Health, Pécsi Tudományegyetem Általános Orvostudományi Kar, Pecs, Hungary
| | - Éva Pozsgai
- Department of Public Health, Pécsi Tudományegyetem Általános Orvostudományi Kar, Pecs, Hungary
- Department of Primary Health Care, Pécsi Tudományegyetem Általános Orvostudományi Kar, Pecs, Hungary
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Aryal K, Mowbray FI, Strum RP, Dash D, Tanuseputro P, Heckman G, Costa AP, Jones A. Examining the "Potentially Preventable Emergency Department Transfer" Indicator Among Nursing Home Residents. J Am Med Dir Assoc 2023; 24:100-104.e2. [PMID: 36379265 DOI: 10.1016/j.jamda.2022.10.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Revised: 10/10/2022] [Accepted: 10/12/2022] [Indexed: 11/15/2022]
Abstract
OBJECTIVE To determine if nursing home (NH) resident characteristics associated with potentially preventable emergency department transfers (PPEDs) are similarly associated with non-potentially preventable emergency department transfers (non-PPEDs). DESIGN We conducted a population-level retrospective cohort study using linked administrative data reported using the Resident Assessment Instrument-Minimum Data Set Version 2.0 and the National Ambulatory Care Reporting System for emergency department transfers. SETTING AND PARTICIPANTS We assessed all NH residents transferred to the emergency department within 92 days after admission. The cohort included 56,433 NH resident admissions assessment of which 3498 NH residents experienced PPEDs, and 9331 residents experienced non-PPEDs. METHODS We assessed Ontario NH residents admission assessments collected between January 1, 2017, and December 31, 2018. We used cumulative incidence functions and Cox regression to compare resident characteristics between residents experiencing PPEDs and non-PPEDs. PPEDs were defined based on the International Classification of Diseases, 10th Revision. RESULTS Approximately 23% of residents experienced an emergency department transfer within 92 days of NH admission. The cumulative incidence of PPEDs was 6.3% and non-PPEDs was 16.8%. After adjusting for clinically relevant features, 14 of 18 resident admission characteristics were associated with both types of transfers. Resident admission characteristics associated with a greater risk of PPEDs solely were pneumonia [hazard ratio (HR) 1.48; CI 1.25-1.70] and oxygen therapy (HR 1.88; CI 1.69-2.10). Resident admission characteristics associated with a greater risk of non-PPEDs solely are experiencing a change in mood (HR 1.09; CI 1.01-1.18) and delirium (HR 1.08; CI 1.04-1.13). CONCLUSIONS AND IMPLICATIONS PPEDs were associated with a similar cluster of NH resident characteristics as those transferred for non-ambulatory reasons, suggesting that the clinical distinction between PPEDs vs non-PPEDs within the NH might be unclear. These findings highlight that the PPED indicator could be revised to improve specificity.
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Affiliation(s)
- Komal Aryal
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada; ICES, Toronto, Ontario, Canada.
| | - Fabrice I Mowbray
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada; ICES, Toronto, Ontario, Canada
| | - Ryan P Strum
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
| | - Darly Dash
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
| | - Peter Tanuseputro
- ICES, Toronto, Ontario, Canada; Department of Medicine, Ottawa Hospital Research Institute, University of Ottawa, Ottawa, Ontario, Canada; Bruyère Research Institute, Ottawa, Ontario, Canada
| | - George Heckman
- Schlegel Research Chair in Geriatric Medicine, Schlegel Research Institute for Aging, Waterloo, Ontario, Canada; School of Public Health Sciences, University of Waterloo, Ontario, Canada
| | - Andrew P Costa
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada; ICES, Toronto, Ontario, Canada
| | - Aaron Jones
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada; ICES, Toronto, Ontario, Canada
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The Geriatric-Focused Emergency Department: Opportunities and Challenges. J Am Med Dir Assoc 2022; 23:1288-1290. [DOI: 10.1016/j.jamda.2022.06.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Accepted: 06/21/2022] [Indexed: 11/16/2022]
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Marincowitz C, Preston L, Cantrell A, Tonkins M, Sabir L, Mason S. Factors associated with increased Emergency Department transfer in older long-term care residents: a systematic review. THE LANCET. HEALTHY LONGEVITY 2022; 3:e437-e447. [PMID: 36098321 DOI: 10.1016/s2666-7568(22)00113-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Revised: 04/26/2022] [Accepted: 04/27/2022] [Indexed: 01/15/2023] Open
Abstract
The proportion of adults older than 65 years is rapidly increasing. Care home residents in this age group have disproportionate rates of transfer to the Emergency Department (ED) and around 40% of attendances might be avoidable. We did a systematic review to identify factors that predict ED transfer from care homes. Six electronic databases were searched. Observational studies that provided estimates of association between ED attendance and variables at a resident or care home level were included. 26 primary studies met the inclusion criteria. Seven common domains of factors assessed for association with ED transfer were identified and within these domains, male sex, age, presence of specific comorbidities, polypharmacy, rural location, and care home quality rating were associated with likelihood of ED transfer. The identification of these factors provides useful information for policy makers and researchers intending to either develop interventions to reduce hospitalisations or use adjusted rates of hospitalisation as a care home quality indicator.
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Affiliation(s)
- Carl Marincowitz
- Centre for Urgent and Emergency Care Research (CURE), Health Services Research, School of Health and Related Research, University of Sheffield, Sheffield, UK.
| | - Louise Preston
- Health Economics and Decision Science, School of Health and Related Research, University of Sheffield, Sheffield, UK
| | - Anna Cantrell
- Health Economics and Decision Science, School of Health and Related Research, University of Sheffield, Sheffield, UK
| | - Michael Tonkins
- Centre for Urgent and Emergency Care Research (CURE), Health Services Research, School of Health and Related Research, University of Sheffield, Sheffield, UK
| | - Lisa Sabir
- Centre for Urgent and Emergency Care Research (CURE), Health Services Research, School of Health and Related Research, University of Sheffield, Sheffield, UK
| | - Suzanne Mason
- Centre for Urgent and Emergency Care Research (CURE), Health Services Research, School of Health and Related Research, University of Sheffield, Sheffield, UK
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