PURPOSE OF REVIEW: With the shifts in society, healthcare and the profile of the malnourished individual, a re-consideration of the goal of nutritional risk screening is needed: screening for malnutrition, or screening for risk of malnutrition? In this review article, we reflect on the role of nutritional risk screening in relation to prevention and treatment of malnutrition.RECENT FINDINGS: Within the Global Leadership Initiative on Malnutrition (GLIM) Initiative, modified Delphi studies are currently being conducted to reach global consensus on the conceptual definition and operationalization of 'risk of malnutrition'. This is necessary because various studies have demonstrated that different nutritional screening tools identify different individuals, due to variability in screening tool criteria, which influences GLIM outcomes. Upon screening, three different situations can be distinguished: having risk factors for malnutrition without clear signs of presence of malnutrition, having mild signs of malnutrition (malnutrition in progress), or having obvious signs of malnutrition.SUMMARY: The outcomes of the studies on 'risk of malnutrition' will guide the screening step within the GLIM process, and will help professionals to make informed choices regarding screening policy and screening tool(s).
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Malnutrition, especially among the elderly in the healthcare environment, is a prevalent problem in The Netherlands, affecting both patients and the healthcare budget. Although oral nutritional supplements (ONS) are often used to restore the nutritional status of a patient, the evaluated current available literature failed to show a coherent picture of the effectiveness of ONS in malnourished patients. In the present study, we used a qualitative research approach to gain insight in the treatment of malnutrition via ONS and food snacks in a single non-academic teaching hospital. Twelve semi-structured interviews with stakeholders (such as dieticians, nurses, care-assistants, physician) were held. Results indicated opportunities for further improvement, for example through the introduction of a screening tool for malnutrition in cognitive impaired patients, better timing for handing out the daily meal plan forms, and improved range and provision of snacks. The stakeholders indicated that taste and physical properties of ONS, but also social environment as well as the physical/mental state and motivation of a patient are important facilitators which should be considered during the prescription. In conclusion, to optimize treatment of malnutrition using ONS and food snacks, the above mentioned opportunities to better match the needs of malnourished patients have to be tackled. Involvement of the different stakeholders within the healthcare facility will be important to implement required changes in nutritional practice.
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Malnutrition is a serious and widespread health problem in community-dwelling older adults who receive care in hospital and at home. Hospital and home care nurses and nursing assistants have a key role in the delivery of high-quality multidisciplinary nutritional care. Nursing nutritional care in current practice, however, is still suboptimal, which impacts its quality and continuity. There appear to be at least two reasons for this. First, there is a lack of evidence for nutritional care interventions to be carried out by nurses. Second, there are several factors, that influence nurses’ and nursing assistants’ current behaviour, such as lack of knowledge, moderate awareness of the importance and neutral attitudes. This results in a lack of attention towards nutritional care. Therefore, there is a need to generate more evidence and to focus on targeting the factors that influence nurses’ and nursing assistants’ current behaviour to eventually promote behaviour change. To increase the likelihood of successfully changing their behaviour, an evidence-based educational intervention is appropriate. This might lead to enhancing nutritional care and positively impact nutritional status, health and well-being of community-dwelling older adults. The general objectives of this thesis are: 1) To understand the current state of evidence regarding nutrition-related interventions and factors that influence current behaviour in nutritional care for older adults provided by hospital and home care nurses and nursing assistants to prevent and treat malnutrition. 2) To develop an educational intervention for hospital and home care nurses and nursing assistants to promote behaviour change by affecting factors that influence current behaviour in nutritional care for older adults and to describe the intervention development and feasibility.
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Background: Nutritional care for older adults provided by hospital and home care nurses and nursing assistants is suboptimal. This is due to several factors including professionals' lack of knowledge and low prioritisation. Affecting these factors may promote nurses' and nursing assistants' behavioral change and eventually improve nutritional care. To increase the likelihood of successfully targeting these factors, an evidence-based educational intervention is needed. Objectives: To develop an educational intervention for hospital and home care nurses and nursing assistants to promote behaviour change by affecting factors that influence current behaviour in nutritional care for older adults. In this paper, we describe the intervention development process. Design: A multi-methods approach using literature and expert input. Settings: Hospital and home care. Participants: Older adults, nurses, nursing assistants, experts, and other professionals involved in nutritional care. Methods: The educational intervention was based on five principles: 1) interaction between intervention and users, 2) targeting users on both individual and team level, 3) supporting direct and easy transfer to the workplace, and continuous learning, 4) facilitating learning within an appropriate period, and 5) fitting with the context. Consistent with these principles, the research team focussed on developing a microlearning intervention and they established consensus on seven features of the intervention: content, provider, mode of delivery, setting, recipient, intensity, and duration. Results: The intervention consisted of 30 statements about nursing nutritional care for older adults, which nurses and nursing assistants were asked to confirm or reject, followed by corresponding explanations. These can be presented in a snack-sized way, this means one statement per day, five times a week over a period of six weeks through an online platform. Conclusions: Based on a well-founded and comprehensive procedure, the microlearning intervention was developed. This intervention has the potential to contribute to nursing nutritional care for older adults.
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Twenty years ago, ESPEN published its “Guidelines for nutritional screening 2002”, with the note that these guidelines were based on the evidence available until 2002, and that they needed to be updated and adapted to current state of knowledge in the future. Twenty years have passed, and tremendous progress has been made in the field of malnutrition risk screening. Many screening tools have been developed and validated for different patient groups and different health care settings. Some countries even have introduced mandatory screening for malnutrition at admission to hospital. Yet, changes in society and healthcare require a reflection on current practice and policies regarding malnutrition risk screening. In this opinion paper, we share our perspectives on malnutrition risk screening in the twenty-twenties, addressing the changing and varying profile of the malnourished individual, the goals of screening and screening tools (i.e., preventive or reactive), the construct of malnutrition risk (i.e., screening for risk factors or screening for existing malnutrition), and screening alongside a patient's journey.
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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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Background: Nutritional care for older adults provided by hospital and home care nurses and nursing assistants is suboptimal. This is due to several factors including professionals' lack of knowledge and low prioritisation. Affecting these factors may promote nurses' and nursing assistants' behavioral change and eventually improve nutritional care. To increase the likelihood of successfully targeting these factors, an evidence-based educational intervention is needed. Results: The intervention consisted of 30 statements about nursing nutritional care for older adults, which nurses and nursing assistants were asked to confirm or reject, followed by corresponding explanations. These can be presented in a snack-sized way, this means one statement per day, five times a week over a period of six weeks through an online platform. Conclusions: Based on a well-founded and comprehensive procedure, the microlearning intervention was developed. This intervention has the potential to contribute to nursing nutritional care for older adults.
MULTIFILE
Objective: The aim of this study was to assess the relationship between frailty syndrome and the nutritional status of older patients. Material and methods: This cross-sectional study was conducted in a sample of 120 patients hospitalized at the Geriatric Clinic between January 2017 and May 2017. The research tools were the Frailty Instrument of the Survey of Health, Ageing and Retirement in Europe (SHARE-FI), including relevant anthropometric measurements and muscle strength measurement, and the Mini Nutritional Assessment (MNA). All the calculations were performed using the Statistica 10.0 program. The p-values lower than 0.05 were considered as statistically significant. Results: The mean age of the participants was 71 years (SD=9.03). Most participants were from urban areas. More than half of the participants (53.3%) were women. Based on the SHARE-FI, the frailty syndrome was found in 33.3% of the participants. The mean value in the MNA scale was 24.4 points (SD=3.4). The frailty syndrome was significantly correlated to gender (p<0.025), financial status (p=0.036) and MNA (p<0.01) score. A statistically significant difference was observed between gender (p=0.026), financial status (p=0.016), place of living (p=0.046) and MNA score. Conclusion: This study confirmed significant correlations between the frailty syndrome and the nutritional status of older adults. In terms of prevention and clinical application, it seems important to control the nutritional status of older people and the frailty syndrome. The above-mentioned scales should be used to evaluate patients, analyze the risk and plan the intervention for that group of patients.
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This study evaluates the concurrent validity of five malnutrition screening tools to identify older hospitalized patients against the Global Leadership Initiative on Malnutrition (GLIM) diagnostic criteria as limited evidence is available. The screening tools Short Nutritional Assessment Questionnaire (SNAQ), Malnutrition Universal Screening Tool (MUST), Malnutrition Screening Tool (MST), Mini Nutritional Assessment—Short Form (MNA-SF), and the Patient-Generated Subjective Global Assessment—Short Form (PG-SGA-SF) with cut-offs for both malnutrition (conservative) and moderate malnutrition or risk of malnutrition (liberal) were used. The concurrent validity was determined by the sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and the level of agreement by Cohen’s kappa. In total, 356 patients were included in the analyses (median age 70 y (IQR 63–77); 54% male). The prevalence of malnutrition according to the GLIM criteria without prior screening was 42%. The conservative cut-offs showed a low-to-moderate sensitivity (32–68%) and moderate-to-high specificity (61–98%). The PPV and NPV ranged from 59 to 94% and 67–86%, respectively. The Cohen’s kappa showed poor agreement (k = 0.21–0.59). The liberal cut-offs displayed a moderate-to-high sensitivity (66–89%) and a low-to-high specificity (46–95%). The agreement was fair to good (k = 0.33–0.75). The currently used screening tools vary in their capacity to identify hospitalized older patients with malnutrition. The screening process in the GLIM framework requires further consideration.
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Background: Undernutrition is a common complication of disease and a major determinant of hospital stay outcome. Dutch hospitals are required to screen for undernutrition on the first day of admission.Objective: We sought to determine the prevalence of the screening score “undernourished” with the use of the Short Nutritional Assessment Questionnaire (SNAQ) or Malnutrition Universal Screening Tool (MUST) and its relation to length of hospital stay (LOS) in the general hospital population and per medical specialty.Design: We conducted an observational cross-sectional study at 2 university, 3 teaching, and 8 general hospitals. All adult inpatients aged ≥18 y with an LOS of at least 1 d were included. Between 2007 and 2014, the SNAQ/MUST score, admitting medical specialty, LOS, age, and sex of each patient were extracted from the digital hospital chart system. Linear regression analysis with ln(LOS) as an outcome measure and SNAQ ≥3 points/MUST ≥2 points, sex, and age as determinant variables was used to test the relation between SNAQ/MUST score and LOS.Results: In total, 564,063 patients were included (48% males and 52% females aged 62 ± 18 y). Of those, 74% (419,086) were screened with SNAQ and 26% (144,977) with MUST, and 13.7% (SNAQ) and 14.9% (MUST) of the patients were defined as being undernourished. Medical specialties with the highest percentage of the screening score of undernourished were geriatrics (38%), oncology (33%), gastroenterology (27%), and internal medicine (27%).Patients who had an undernourished screening score had a higher LOS than did patients who did not (median 6.8 compared with 4.0 d; P < 0.001). Regression analysis showed that a positive SNAQ/MUST score was significantly associated with LOS [SNAQ: +1.43 d (95% CI: 1.42, 1.44 d), P < 0.001; MUST: +1.47 d (95% CI: 1.45, 1.49 d), P < 0.001].Conclusions: This study provides benchmark data on the prevalence of undernutrition, including more than half a million patients. One out of 7 patients was scored as undernourished. For geriatrics, oncology, gastroenterology, and internal medicine, this ratio was even greater (1 out of 3–4). Hospital stay was 1.4 d longer among undernourished patients than among those who were well nourished.
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