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Trevisan C, Noale M, Zatti G, Vetrano DL, Maggi S, Sergi G. Hospital length of stay and 30-day readmissions in older people: their association in a 20-year cohort study in Italy. BMC Geriatr 2023; 23:154. [PMID: 36941535 PMCID: PMC10029164 DOI: 10.1186/s12877-023-03884-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Accepted: 03/11/2023] [Indexed: 03/23/2023] Open
Abstract
BACKGROUND There are conflicting data on whether hospital length of stay (LOS) reduction affects readmission rates in older adults. We explored 20-year trends of hospital LOS and 30-day rehospitalizations in a cohort of Italian older people, and investigated their association. METHODS Participants in the Pro.V.A. project (n = 3099) were followed-up from 1996 to 2018. LOS and 30-day rehospitalizations, i.e. new hospitalizations within 30 days from a previous discharge, were obtained from personal interviews and regional registers. Rehospitalizations in the 6 months before death were also assessed. Linear regressions evaluated the associations between LOS and the frequency of 30-day rehospitalizations, adjusting for the mean age of the cohort within each year. RESULTS Over 20 years, 2320 (74.9%) participants were hospitalized. Mean LOS gradually decreased from 17.3 days in 1996 to 11.3 days in 2018, while 30-day rehospitalization rates increased from 6.6% in 1996 to 13.6% in 2018. LOS was inversely associated with 30-day rehospitalizations frequency over time (β = -2.33, p = 0.01), similarly in men and women. A total of 1506 individuals was hospitalized within 6 months before death. The frequency of 30-day readmissions at the end of life increased from 1.4% in 1997 to 8.3% in 2017 and was associated with mean LOS (β = -1.17, p = 0.03). CONCLUSIONS The gradual LOS reduction observed in the latter decades is associated with higher 30-day readmission rates in older patients in Italy. This suggests that a careful pre-discharge assessment is warranted in older people, and that community healthcare services should be improved to reduce the risk of readmission.
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Affiliation(s)
- Caterina Trevisan
- Geriatric Unit, Department of Medicine, University of Padova, Padua, Italy.
- Department of Medical Sciences, University of Ferrara, Via Aldo Moro, 8, Ferrara, 44124, Italy.
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden.
| | - Marianna Noale
- Neuroscience Institute, National Research Council, Padua, Italy
| | - Giancarlo Zatti
- Geriatric Unit, Department of Medicine, University of Padova, Padua, Italy
| | - Davide Liborio Vetrano
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
- Stockholm Gerontology Research Center, Stockholm, Sweden
| | - Stefania Maggi
- Neuroscience Institute, National Research Council, Padua, Italy
| | - Giuseppe Sergi
- Geriatric Unit, Department of Medicine, University of Padova, Padua, Italy
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Reynish E, Hapca S, Walesby R, Pusram A, Bu F, Burton JK, Cvoro V, Galloway J, Ebbesen Laidlaw H, Latimer M, McDermott S, Rutherford AC, Wilcock G, Donnan P, Guthrie B. Understanding health-care outcomes of older people with cognitive impairment and/or dementia admitted to hospital: a mixed-methods study. HEALTH SERVICES AND DELIVERY RESEARCH 2021. [DOI: 10.3310/hsdr09080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Background
Cognitive impairment is common in older people admitted to hospital, but previous research has focused on single conditions.
Objective
This project sits in phase 0/1 of the Medical Research Council Framework for the Development and Evaluation of Complex Interventions. It aims to develop an understanding of current health-care outcomes. This will be used in the future development of a multidomain intervention for people with confusion (dementia and cognitive impairment) in general hospitals. The research was conducted from January 2015 to June 2018 and used data from people admitted between 2012 and 2013.
Design
For the review of outcomes, the systematic review identified peer-reviewed quantitative epidemiology measuring prevalence and associations with outcomes. Screening for duplication and relevance was followed by full-text review, quality assessment and a narrative review (141 papers). A survey sought opinion on the key outcomes for people with dementia and/or confusion and their carers in the acute hospital (n = 78). For the analysis of outcomes including cost, the prospective cohort study was in a medical admissions unit in an acute hospital in one Scottish health board covering 10% of the Scottish population. The participants (n = 6724) were older people (aged ≥ 65 years) with or without a cognitive spectrum disorder who were admitted as medical emergencies between January 2012 and December 2013 and who underwent a structured nurse assessment. ‘Cognitive spectrum disorder’ was defined as any combination of delirium, known dementia or an Abbreviated Mental Test score of < 8 out of 10 points. The main outcome measures were living at home 30 days after discharge, mortality within 2 years of admission, length of stay, re-admission within 2 years of admission and cost.
Data sources
Scottish Morbidity Records 01 was linked to the Older Persons Routine Acute Assessment data set.
Results
In the systematic review, methodological heterogeneity, especially concerning diagnostic criteria, means that there is significant overlap in conditions of patients presenting to general hospitals with confusion. Patients and their families expect that patients are discharged in the same or a better condition than they were in on admission or, failing that, that they have a satisfactory experience of their admission. Cognitive spectrum disorders were present in more than one-third of patients aged ≥ 65 years, and in over half of those aged ≥ 85 years. Outcomes were worse in those patients with cognitive spectrum disorders than in those without: length of stay 25.0 vs. 11.8 days, 30-day mortality 13.6% vs. 9.0%, 1-year mortality 40.0% vs. 26.0%, 1-year mortality or re-admission 62.4% vs. 51.5%, respectively (all p < 0.01). There was relatively little difference by cognitive spectrum disorder type; for example, the presence of any cognitive spectrum disorder was associated with an increased mortality over the entire period of follow-up, but with different temporal patterns depending on the type of cognitive spectrum disorder. The cost of admission was higher for those with cognitive spectrum disorders, but the average daily cost was lower.
Limitations
A lack of diagnosis and/or standardisation of diagnosis for dementia and/or delirium was a limitation for the systematic review, the quantitative study and the economic study. The economic study was limited to in-hospital costs as data for social or informal care costs were unavailable. The survey was conducted online, limiting its reach to older carers and those people with cognitive spectrum disorders.
Conclusions
Cognitive spectrum disorders are common in older inpatients and are associated with considerably worse health-care outcomes, with significant overlap between individual cognitive spectrum disorders. This suggests the need for health-care systems to systematically identify and develop care pathways for older people with cognitive spectrum disorders, and avoid focusing on only condition-specific pathways.
Future work
Development and evaluation of a multidomain intervention for the management of patients with cognitive spectrum disorders in hospital.
Study registration
This study is registered as PROSPERO CRD42015024492.
Funding
This project was funded by the National Institute for Health Research (NIHR) Health Services and Delivery Research programme and will be published in full in Health Services and Delivery Research; Vol. 9, No. 8. See the NIHR Journals Library website for further project information.
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Affiliation(s)
- Emma Reynish
- Faculty of Social Sciences, University of Stirling, Stirling, UK
| | - Simona Hapca
- School of Medicine, University of Dundee, Dundee, UK
| | - Rebecca Walesby
- Faculty of Social Sciences, University of Stirling, Stirling, UK
| | - Angela Pusram
- Faculty of Social Sciences, University of Stirling, Stirling, UK
| | - Feifei Bu
- Faculty of Social Sciences, University of Stirling, Stirling, UK
| | - Jennifer K Burton
- Deanery of Clinical Sciences, University of Edinburgh, Edinburgh, UK
| | - Vera Cvoro
- Deanery of Clinical Sciences, University of Edinburgh, Edinburgh, UK
| | - James Galloway
- Health Informatics Centre, University of Dundee, Dundee, UK
| | | | - Marion Latimer
- Faculty of Social Sciences, University of Stirling, Stirling, UK
| | | | | | - Gordon Wilcock
- Oxford Institute of Population Ageing, University of Oxford, Oxford, UK
| | - Peter Donnan
- School of Medicine, University of Dundee, Dundee, UK
| | - Bruce Guthrie
- School of Medicine, University of Dundee, Dundee, UK
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A prospective, multidimensional follow-up study of a geriatric hospitalised population: predictors of discharge and well-being. Aging Clin Exp Res 2013; 25:691-701. [PMID: 24170327 DOI: 10.1007/s40520-013-0153-3] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2013] [Accepted: 07/09/2013] [Indexed: 10/26/2022]
Abstract
BACKGROUND AND AIMS Ageing trends in populations are common amongst most European countries. One of the consequences of this trend is the increase of hospitalisation of elderly patients. To better manage the elderly population hospitalisation, it is crucial to obtain a better understanding of this population's clinical and functional conditions and their hospitalisation outcome predictors. The present prospective observational cohort study aimed at studying the variables considered predictive of the length of stay, of destination at discharge, of re-hospitalisation, and of mortality at 6 months of elderly (age >64 years, N = 329) admitted to ten geriatric units, having different missions (e.g., cognitive impairment and dementia; movement disorders; bone fractures and immobilisation syndrome; or stroke), of the St. John of God Order during a 4-month-long index period. METHODS The patients were monitored from the first day of hospitalisation through the discharge. Researchers filled in a "Patient Schedule" based on a comprehensive set of socio-demographic and clinical variables and standardised assessment tools. We used a standardised telephone interview to re-assess patients at the 6-month follow-up. RESULTS The BRASS score proved to be a better reliable predictor of length of stay (F = 3.9, p = 0.04) among all variables associated with higher risks of prolonged hospital stay and post-discharge problems. In addition, discharge destination was also predicted by the use of the Tinetti Scale score (OR = 0.95, 95 % CI 0.90-0.99), the Mini Mental State Examination (MMSE) score (OR = 0.1.07, 95 % CI 1.01-1.13) and by independence in daily activity as measured by the IADL scale (OR = 4.09, 95 % CI 1.46-11.44). Motor functioning resulted as a reliable predictor (OR = 2.67, 95 % CI 1.27-5.59) of re-hospitalisation in all the medical units. Lastly, female gender (OR = 0.28, 95 % CI 0.11-0.71) resulted as the only reliable variable associated with a lower mortality risk after discharge. CONCLUSION The variables related to the clinical and functional status were reliable predictors for length of stay, for discharge destination, and for re-hospitalisation among older patients admitted to ten geriatric units in Italy. Further research is needed to establish valid and reliable predictors of mortality risk, to develop effective preventive strategies in those vulnerable populations.
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Vecchiarino P, Bohannon RW, Ferullo J, Maljanian R. Short-term outcomes and their predictors for patients hospitalized with community-acquired pneumonia. Heart Lung 2004; 33:301-7. [PMID: 15454909 DOI: 10.1016/j.hrtlng.2004.03.007] [Citation(s) in RCA: 47] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
PURPOSE This study of patients who were hospitalized with pneumonia describes 4 short-term outcomes and the relative value of 4 variables for predicting the outcomes. METHOD We prospectively documented 4 short-term outcomes (hospital length of stay, discharge location, death, 30-day readmission) among 213 adults (mean age = 72.5 years) with pneumonia who were admitted to the hospital. Relationships between the Pneumonia Severity Index (PSI), preadmission walking, malnutrition, grip strength, and outcomes were examined with correlations and multiple logistic regression. RESULTS The mean (SD) hospital stay was 8.8 (10.4) days. Many patients (51.6%) were not discharged to their homes; 13.6% died during admission or within 30 days of discharge. Of 205 patients discharged alive, 23.9% were readmitted within 30 days. All predictor variables correlated significantly with length of stay, discharge, and death. Except for grip strength, all predictor variables correlated significantly with readmission. Regression showed that the PSI contributed significantly to the prediction of all outcomes but that other variables also contributed (R(2) =.099 [readmitted] to.484 [discharged to home]). CONCLUSIONS Because malnutrition and physical performance measures independently predicted or added to the PSI's prediction of untoward outcomes, the measures merit inclusion when assessing patients with pneumonia.
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Bohannon RW, Lee N, Maljanian R. Postadmission function best predicts acute hospital outcomes after stroke. Am J Phys Med Rehabil 2002; 81:726-30. [PMID: 12362111 DOI: 10.1097/00002060-200210000-00002] [Citation(s) in RCA: 35] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVE This study was conducted to determine the relative value of selected variables for predicting three acute hospital outcomes (length of stay, charges, discharge destination) after stroke. DESIGN Data were obtained prospectively from 92 patients admitted with ischemic stroke to an acute care hospital. The relationship between five independent variables (age, sex, National Institutes of Health Stroke Scale [NIHSS] scores, prestroke Barthel Index scores, and postadmission Barthel Index scores) and the three outcome variables (hospital length of stay, hospital charges, and hospital discharge destination) were examined. RESULTS Significant bivariate correlations were found between two predictors (NIHSS scores and Barthel Index scores) and all three outcome variables. Regression analysis showed that once postadmission Barthel Index scores were accounted for, no other variable added to the prediction of hospital length of stay or discharge destination. The NIHSS score added to the explanation of hospital charges provided by postadmission Barthel Index scores. CONCLUSIONS Postadmission Barthel Index scores were the best predictor of the three outcomes measured in this study.
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Affiliation(s)
- Richard W Bohannon
- Institute of Outcomes Research and Evaluation, Hartford Hospital, Conneticut 06102, USA
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