BACKGROUND: Delirium is a frequent form of psychopathology in elderly hospitalized patients; it is a symptom of acute somatic illness. The consequences of delirium include high morbidity and mortality, lengthened hospital stay, and nursing home placement. Early recognition of delirium symptoms enables the underlying cause to be diagnosed and treated and can prevent negative outcomes. The aim of this study was to determine which of the two delirium observation screening scales, the NEECHAM Confusion Scale or the Delirium Observation Screening (DOS) scale, has the best discriminative capacity for diagnosing delirium and which is more practical for daily use by nurses. METHODS: The project was conducted on four wards of a university hospital; 87 patients were included. During 3 shifts, these patients were observed for symptoms of delirium, which were rated on both scales. A DSM-IV diagnosis of delirium was made or rejected by a geriatrician. Nurses were asked to rate the practical value of both scales using a structured questionnaire. RESULTS: The sensitivity (0.89-1.00) and specificity (0.86-0.88) of the DOS and the NEECHAM were high for both scales. Nurses rated the practical use of the DOS scale as significantly easier than the NEECHAM. CONCLUSION: Successful implementation of standardized observation depends largely on the consent of professionals and their acceptance of a scale. In our hospital, we therefore chose to involve nurses in the choice between two instruments. During the study they were able to experience both scales and give their opinion on ease of use. In the final decision on the instrument we found that both scales were very acceptable in terms of sensitivity and specificity, so the opinion of the nurses was decisive. They were positive about both instruments; however, they rated the DOS scale as significantly easier to use and relevant to their practice. Our findings were obtained from a single site study with a small sample, so a large comparative trial to study the value of both scales further is recommended. On the basis of our experience during this study and findings from the literature with regard to the implementation of delirium guidelines, we will monitor the further implementation of the DOS Scale in our hospital with intensive consultation.
DOCUMENT
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.
DOCUMENT
Background: A pragmatic, stepped wedge trial design can be an appealing design to evaluate complex interventions in real-life settings. However, there are certain pitfalls that need to be considered. This paper reports on the experiences and lessons learned from the conduct of a cluster randomized, stepped wedge trial evaluating the effect of the Hospital Elder Life Program (HELP) in a Dutch hospital setting to prevent older patients from developing delirium. Methods: We evaluated our trial which was conducted in eight departments in two hospitals in hospitalized patients aged 70 years or older who were at risk for delirium by reflecting on the assumptions that we had and on what we intended to accomplish when we started, as compared to what we actually realized in the different phases of our study. Lessons learned on the design, the timeline, the enrollment of eligible patients and the use of routinely collected data are provided accompanied by recommendations to address challenges. Results: The start of the trial was delayed which caused subsequent time schedule problems. The requirement for individual informed consent for a quality improvement project made the inclusion more prone to selection bias. Most units experienced major difficulties in including patients, leading to excluding two of the eight units from participation. This resulted in failing to include a similar number of patients in the control condition versus the intervention condition. Data on outcomes routinely collected in the electronic patient records were not accessible during the study, and appeared to be often missing during analyses. Conclusions: The stepped wedge, cluster randomized trial poses specific risks in the design and execution of research in real-life settings of which researchers should be aware to prevent negative consequences impacting the validity of their results. Valid conclusions on the effectiveness of the HELP in the Dutch hospital setting are hampered by the limited quantity and quality of routine clinical data in our pragmatic trial. Executing a stepped wedge design in a daily practice setting using routinely collected data requires specific attention to ethical review, flexibility, a spacious time schedule, the availability of substantial capacity in the research team and early checks on the data availability and quality.
DOCUMENT
Background: Delirium is a high prevalent postoperative complication in older cardiac surgery patients and can have drastic consequence for the patient. Preventive interventions, diagnosis and treatment of delirium require specialized knowledge and skills. Objective: To gain insight in the current opinion and beliefs of nurses in hospitals concerning prevention, diagnosis and treatment of delirium in older hospital patients in general and specifically in older cardiac surgery patients. Methods: In a cross-sectional study from February to July 2010, we distributed a survey on beliefs on delirium care among 368 nurses in three hospitals in the Netherlands, in one hospital in all wards with older patients and in two hospitals in the cardiac surgery wards only. Results: Although in literature incidence rates up to 54.9% in cardiac surgery patients in hospitals are reported, with a response rate of 68% (250), half of the nurses believe that the incidence of delirium is not even 10%. Two thirds think that delirium in patients is preventable. Although, the Delirium Observation Scale is most often used for screening delirium, nearly all nurses do not routinely screen patients for delirium. Opinions on delirium of nurses working in cardiac surgery wards did not differ from nurses caring for older patients in other hospital wards. Conclusions: Nurses do have knowledge on delirium care, but there is a gap between the reported incidence in literature and the estimation of the occurrence of delirium by nurses. A two-way causal relationship emerges: because nurses underestimate the occurrence, they do not screen patients on a routine basis. And because they do not screen patients on a routine basis they underestimate the incidence.
LINK
No summary available
DOCUMENT
The Hospital Elder Life Program (HELP) has been shown to be highly efficient and (cost-)effective in reducing delirium incidence in the USA. HELP provides multicomponent protocols targeted at specific risk factors for delirium and introduces a different view on care organization, with trained volunteers playing a pivotal role. The primary aim of this study is the quantification of the (cost-)effectiveness of HELP in the Dutch health care system. The second aim is to investigate the experiences of patients, families, professionals and trained volunteers participating in HELP.
DOCUMENT
No summary available
DOCUMENT
Background: Nurse-sensitive indicators and nurses’ satisfaction with the quality of care are two commonly used ways to measure quality of nursing care. However, little is known about the relationship between these kinds of measures. This study aimed to examine concordance between nurse-sensitive screening indicators and nurse-perceived quality of care. Methods: To calculate a composite performance score for each of six Dutch non-university teaching hospitals, the percentage scores of the publicly reported nurse-sensitive indicators: screening of delirium, screening of malnutrition, and pain assessments, were averaged (2011). Nurse-perceived quality ratings were obtained from staff nurses working in the same hospitals by the Dutch Essentials of Magnetism II survey (2010). Concordance between the quality measures was analyzed using Spearman’s rank correlation. Results: The mean screening performances ranged from 63 % to 93 % across the six hospitals. Nurse-perceived quality of care differed significantly between the hospitals, also after adjusting for nursing experience, educational level, and regularity of shifts. The hospitals with high-levels of nurse-perceived quality were also high-performing hospitals according to nurse-sensitive indicators. The relationship was true for high-performing as well as lower-performing hospitals, with strong correlations between the two quality measures (r S = 0.943, p = 0.005). Conclusions: Our findings showed that there is a significant positive association between objectively measured nurse sensitive screening indicators and subjectively measured perception of quality. Moreover, the two indicators of quality of nursing care provide corresponding quality rankings. This implies that improving factors that are associated with nurses’ perception of what they believe to be quality of care may also lead to better screening processes. Although convergent validity seems to be established, we emphasize that different kinds of quality measures could be used to complement each other, because various stakeholders may assign different values to the quality of nursing care.
DOCUMENT
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.
DOCUMENT
Thirty to sixty per cent of older patients experience functional decline after hospitalisation, associated with an increase in dependence, readmission, nursing home placement and mortality. First step in prevention is the identification of patients at risk. The objective of this study is to develop and validate a prediction model to assess the risk of functional decline in older hospitalised patients.
DOCUMENT
