Abstract Purpose: This study aimed to establish which determinants had an effect on frailty among acutely admitted patients, where frailty was identified at discharge. In particular, our study focused on associations of sex with frailty. Methods: A cross-sectional study was designed using a sample of 1267 people aged 65 years or older. The Tilburg Frailty Indicator (TFI), a user-friendly self-report questionnaire was used to measure multidimensional frailty (physical, psychological, social) and determinants of frailty (sex, age, marital status, education, income, lifestyle, life events, multimorbidity). Results: The mean age of the participants was 76.8 years (SD 7.5; range 65-100). The bivariate regression analyses showed that all determinants were associated with total and physical frailty, and six determinants were associated with psychological and social frailty. Using multiple linear regression analyses, the explained variances differed from 3.5% (psychological frailty) to 20.1% (social frailty), with p values < 0.001. Of the independent variables age, income, lifestyle, life events, and multimorbidity were associated with three frailty variables, after controlling for all the other variables in the model. At the level of both frailty domains and components, females appeared to be more frail than men. Conclusion: The present study showed that sociodemographic characteristics (sex, age, marital status, education, income), lifestyle, life events, and multimorbidity had a different effect on total frailty and its domains (physical, psychological, social) in a sample of acute admitted patients.
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Objectives: to compare changes over time in the in-hospital mortality and the mortality from discharge to 30 days post-discharge for six highly prevalent discharge diagnoses in acutely admitted older patients as well as to assess the effect of separately analysing the in-hospital mortality and the mortality from discharge to 30 days post-discharge.Study design and setting: retrospective analysis of Dutch hospital and mortality data collected between 2000 and 2010.Subjects: the participants included 263,746 people, aged 65 years and above, who were acutely admitted for acute myocardial infarction (AMI), heart failure (HF), stroke, chronic obstructive pulmonary disease, pneumonia or hip fracture.Methods: we compared changes in the in-hospital mortality and mortality from discharge to 30 days post-discharge in the Netherlands using a logistic- and a multinomial regression model.Results: for all six diagnoses, the mortality from admission to 30 days post-discharge declined between 2000 and 2009. The decline ranged from a relative risk ratio (RRR) of 0.41 [95% confidence interval (CI) 0.38–0.45] for AMI to 0.77 [0.73–0.82] for HF. In separate analyses, the in-hospital mortality decreased for all six diagnoses. The mortality from discharge to 30 days post-discharge in 2009 compared to 2000 depended on the diagnosis, and either declined, remained unchanged or increased.Conclusions: the decline in hospital mortality in acutely admitted older patients was largely attributable to the lower in-hospital mortality, while the change in the mortality from discharge to 30 days post-discharge depended on the diagnosis. Separately reporting the two rate estimates might be more informative than providing an overall hospital mortality rate.
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The objective was to study the prevalence of eighteen geriatric conditions in older patients at admission, their reporting rate in discharge summaries and the impact of these conditions on mortality and functional decline one year after admission. A prospective multicenter cohort study conducted between 2006 and 2008 in two tertiary university teaching hospitals and one regional teaching hospital in the Netherlands. Patients of 65 years and older, acutely admitted and hospitalized for at least 48 hours, were invited to participate. Eighteen geriatric conditions were assessed at hospital admission, and outcomes (mortality, functional decline) were assessed one year after admission.
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Background: In Turkey, nursing care in hospitals has gradually included more older patients, resulting in a need for knowledgeable geriatric nurses. It is unknown, however, whether the nursing workforce is ready for this increase. Therefore, the aim of this study is to validate the Knowledge about Older Patients Quiz (KOPQ) in the Turkish language and culture, to describe Turkish hospital nurses’ knowledge about older patients, and to compare levels of knowledge between Turkish and Dutch hospital nurses. Conclusions: The KOPQ-TR is promising for use in Turkey, although psychometric validation should be repeated using a better targeted sample with a larger ability variance to adequately assess the Person Separation Index and Person Reliability. Currently, education regarding care for older patients is not sufficiently represented in Turkish nursing curricula. However, the need to do so is evident, as the results demonstrate that knowledge deficits and an increase in older patients admitted to the hospital will eventually occur. International comparison and cooperation provides an opportunity to learn from other countries that currently face the challenge of an aging (hospital) population.
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Background: Early identification of older cardiac patients at high risk of readmission or mortality facilitates targeted deployment of preventive interventions. In the Netherlands, the frailty tool of the Dutch Safety Management System (DSMS-tool) consists of (the risk of) delirium, falling, functional impairment, and malnutrition and is currently used in all older hospitalised patients. However, its predictive performance in older cardiac patients is unknown. Aim: To estimate the performance of the DSMS-tool alone and combined with other predictors in predicting hospital readmission or mortality within 6 months in acutely hospitalised older cardiac patients. Methods: An individual patient data meta-analysis was performed on 529 acutely hospitalised cardiac patients ≥70 years from four prospective cohorts. Missing values for predictor and outcome variables were multiply imputed. We explored discrimination and calibration of: (1) the DSMS-tool alone; (2) the four components of the DSMS-tool and adding easily obtainable clinical predictors; (3) the four components of the DSMS-tool and more difficult to obtain predictors. Predictors in model 2 and 3 were selected using backward selection using a threshold of p = 0.157. We used shrunk c-statistics, calibration plots, regression slopes and Hosmer-Lemeshow p-values (PHL) to describe predictive performance in terms of discrimination and calibration. Results: The population mean age was 82 years, 52% were males and 51% were admitted for heart failure. DSMS-tool was positive in 45% for delirium, 41% for falling, 37% for functional impairments and 29% for malnutrition. The incidence of hospital readmission or mortality gradually increased from 37 to 60% with increasing DSMS scores. Overall, the DSMS-tool discriminated limited (c-statistic 0.61, 95% 0.56-0.66). The final model included the DSMS-tool, diagnosis at admission and Charlson Comorbidity Index and had a c-statistic of 0.69 (95% 0.63-0.73; PHL was 0.658). Discussion: The DSMS-tool alone has limited capacity to accurately estimate the risk of readmission or mortality in hospitalised older cardiac patients. Adding disease-specific risk factor information to the DSMS-tool resulted in a moderately performing model. To optimise the early identification of older hospitalised cardiac patients at high risk, the combination of geriatric and disease-specific predictors should be further explored.
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Aims and objectives: To examine the predictive properties of the brief Dutch National Safety Management Program for the screening of frail hospitalised older patients (VMS) and to compare these with the more extensive Maastricht Frailty Screening Tool for Hospitalised Patients (MFST-HP). Background: Screening of older patients during admission may help to detect frailty and underlying geriatric conditions. The VMS screening assesses patients on four domains (i.e. functional decline, delirium risk, fall risk and nutrition). The 15-item MFST-HP assesses patients on three domains of frailty (physical, social and psychological). Design: Retrospective cohort study. Methods: Data of 2,573 hospitalised patients (70+) admitted in 2013 were included, and relative risks, sensitivity and specificity and area under the receiver operating characteristic (AUC) curve of the two tools were calculated for discharge destination, readmissions and mortality. The data were derived from the patients nursing files. A STARD checklist was completed. Results: Different proportions of frail patients were identified by means of both tools: 1,369 (53.2%) based on the VMS and 414 (16.1%) based on the MFST-HP. The specificity was low for the VMS, and the sensitivity was low for the MFST-HP. The overall AUC for the VMS varied from 0.50 to 0.76 and from 0.49 to 0.69 for the MFST-HP. Conclusion: The predictive properties of the VMS and the more extended MFST-HP on the screening of frailty among older hospitalised patients are poor to moderate and not very promising. Relevance to clinical practice: The VMS labels a high proportion of older patients as potentially frail, while the MFST-HP labels over 80% as nonfrail. An extended tool did not increase the predictive ability of the VMS. However, information derived from the individual items of the screening tools may help nurses in daily practice to intervene on potential geriatric risks such as delirium risk or fall risk.
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The aim of this research was to study the clinical characteristics and mortality and disability outcomes of patients who present distinct risk profiles for functional decline at admission. A multicenter, prospective cohort study was conducted between 2006 and 2009 in three hospitals in the Netherlands in consecutive patients of 65 years and over, acutely admitted and hospitalized for at least 48 hours. Nineteen geriatric conditions were assessed at hospital admission, and mortality and functional decline were assessed until twelve months after admission. Patients were divided into risk categories for functional decline (low, intermediate or high risk) according to the Identification of Seniors at Risk-Hospitalized Patients.
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Background: There is an increase in the number of frail elderly patients presenting to the emergency department. Diagnosis and treatment for this patient group is challenging due to multimorbidity, a-typical presentation and polypharmacy and requires specialised knowledge and competencies from healthcare professionals. We aim to explore the needs and preferences regarding emergency care in frail older patients based on their experiences with received care during Emergency Department admission. Method: A qualitative study design was used, and semi-structured interviews were conducted after discharge with twelve frail older patients admitted to emergency departments in the Netherlands. Data collection and analysis were performed iteratively, and data were thematically analysed. Results: The analysis enfolded the following themes; feeling disrupted, expecting to be cared for, suppressing their needs and wanting to be seen. These themes indicated a need for situational awareness by healthcare professionals when taking care of the participants and were influenced by the participants' life experiences. Conclusion: Frail older patients feel disrupted when admitted to the emergency department. Because of this, they expect to be cared for, lessen their own needs and want to be seen as human beings. The impact of the admission is influenced by the extent to which healthcare professionals show situational awareness.
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Abstract: Background: Hip fracture in older patients often lead to permanent disabilities and can result in mortality. Objective: To identify distinct disability trajectories from admission to one-year post-discharge in acutely hospitalized older patients after hip fracture. Design: Prospective cohort study, with assessments at admission, three-months and one-year post-discharge. Setting and participants: Patients ≥ 65 years admitted to a 1024-bed tertiary teaching hospital in the Netherlands. Methods: Disability was the primary outcome and measured with the modified Katz ADL-index score. A secondary outcome was mortality. Latent class growth analysis was performed to detect distinct disability trajectories from admission and Cox regression was used to analyze the effect of the deceased patients to one-year after discharge. Results: The mean (SD) age of the 267 patients was 84.0 (6.9) years. We identified 3 disability trajectories based on the Katz ADL-index score from admission to one-year post-discharge: ‘mild’- (n=54 (20.2%)), ‘moderate’- (n=110 (41.2%)) and ‘severe’ disability (n=103 (38.6%)). Patients in all three trajectories showed an increase of disabilities at three months, in relation to baseline and 80% did not return to baseline one-year post-discharge. Seventy-three patients (27.3%) deceased within one-year post-discharge, particularly in the ‘moderate’- (n=22 (8.2%)) and ‘severe’ disability trajectory (n=47 (17.6%)). Conclusions: Three disability trajectories were identified from hospital admission until one-year follow-up in acutely hospitalized older patients after hip fracture. Most patients had substantial functional decline and 27% of the patient’s deceased one-year post-discharge, mainly patients in the ‘moderate’- ‘and severe’ disability trajectories.
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Background: Palliative needs in older patients are often not timely identified. The Surprise Question (SQ) ‘would I be surprised if this patient died in the next year?’ is a well-researched tool that could aid in this effort. Most studies thus far involved physicians or specialist nurses, however the predictive value of the SQ when used by general nurses caring for hospitalized older patients is unknown. Objectives: To assess the predictive value of the SQ when used by general nurses and student nurses, in determining one year mortality in acutely hospitalized older patients. Design: Observational cohort study with an one year follow-up. Setting: One academic and one regional hospital in the Netherlands. Participants: Patients ≥70 years acutely hospitalized for at least 48 hours. Methods: Registered nurses and student nurses answered the SQ with ‘No’ (a positive SQ), ‘Yes’ or ‘Don't know’. Data on student nurses was analysed separately. The sensitivity, specificity, negative- and positive predictive values were calculated. Furthermore, logistic regression was performed to determine the odds of death. Results: 66 registered nurses answered the SQ for 252 patients of whom 77 (30.6%) died in the year after inclusion. Respectively, 44%, 14% and 22% died within the ‘No’, ‘Yes’ and ‘Don't know’ group. 85% of patients who died during admission or in the first three months post-discharge were identified. The sensitivity and specificity were 76.7% and 56.6%. The positive and negative predictive values were 43.7% and 84.6 %. Compared to persons in whom the SQ was answered with yes, a no answer was associated with an 4.7 times increased odds of dying in the next 12 months (odds ratio 4.71, 95% CI 2.43-9.12, p<0.001). Additionally, 20 student nurses answered the SQ about 73 patients; sensitivity and specificity were 46.7% and 72.1%, with a positive and negative predictive value of 53.8% and 66.0% respectively. Conclusion: The usability of the Surprise Question in predicting 12-month mortality in older acutely admitted patients is limited, due to the high false positive rate. The SQ when used by non-specialized nurses identifies vulnerable patients with an increased mortality risk and can be used as a first step in assessing a patients’ palliative needs, but has limited use as a single criterion for referral to specialist palliative care.
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