Bij de richtlijn horen 1) een wetenschappelijke onderbouwing en 2) een samenvattingskaart. Deze richtlijn beoogt ggz-professionals - in het bijzonder verpleegkundigen - te ondersteunen bij de somatische screening op gezondheidsproblemen bij mensen met een ernstige psychische aandoening, en ondersteuning te bieden bij de planning en uitvoering van vervolgactiviteiten voor preventie en tijdige diagnostiek en behandeling van somatische problemen. Gerichte leefstijlinterventies kunnen risicofactoren voor bepaalde somatische aandoeningen gunstig beïnvloeden. De richtlijn richt zich op volwassen patiënten (18-65 jaar) met een ernstige psychische aandoening of een verhoogd risico. De aanbevelingen zijn ook toepasbaar voor de POH-ggz. Medeauteurs: Marieke van Piere, Maarten Bak, Merlijn Bakkenes, Digna van der Kellen, Sonja van Hamersveld, Ronald van Gool, Katie Dermout, Titia Feldmann, Anneriek Risseeuw, Anneke Wijtsma-van der Kolk, Ingrid van Vuuren, Matthijs Rümke, Evelyn Sloots-Jongen, Paul de Heij, Richard Starmans, Cilia Daatselaar, Christine van Veen en Marleen Hermens (Werkgroep Richtlijnontwikkeling Algemene somatische screening & Leefstijl)
MULTIFILE
Voor u ligt de wetenschappelijke onderbouwing van de Richtlijn Somatische screening bij patiënten met een ernstige psychische aandoening (2015). Het doel van deze richtlijn is om met name verpleegkundigen te ondersteunen bij de algemene somatische screening van patiënten in de ggz met een ernstige psychische aandoening (EPA) en de te ondernemen vervolgactiviteiten. Somatische screening is zowel klinisch als maatschappelijk zeer relevant, omdat de gezondheidsproblemen van deze patiënten groot zijn en het zorgaanbod er maar beperkt op aansluit. De richtlijn is ontwikkeld voor beroepsgroepen die zorg verlenen aan mensen met een ernstige psychische aandoening: verpleegkundigen, verpleegkundig specialisten, sociaal-psychiatrisch verpleegkundigen (SPV’en), consultatief-psychiatrisch verpleegkundigen, psychologen, psychiaters, klinisch geriaters, artsen somatisch werkzaam in de ggz, internisten in de ggz, huisartsen, POH-ggz, physician assistants in de ggz, psychomotorisch therapeuten, fysiotherapeuten, diëtisten, sociotherapeuten, ergotherapeuten en ggz-agogen. Dit rapport biedt achtergrondinformatie voor alle zorgprofessionals, zorgmanagers, kwaliteitsmedewerkers en alle anderen die betrokken zijn bij de algemene somatische zorg voor mensen met een ernstige psychische aandoening en die meer willen weten over de totstandkoming van deze richtlijn. In deze onderbouwing is beschikbare wetenschappelijke kennis samengevat en wordt aangegeven welke overige overwegingen, onder meer vanuit praktijkkennis en voorkeuren vanuit patiënten- en familieperspectief, van belang waren bij het formuleren van de richtlijnaanbevelingen. Deze richtlijn is gebaseerd op wetenschappelijke evidentie, grijze literatuur, de praktijkkennis van professionals en voorkeuren vanuit patiënten- en familieperspectief. Het ontwikkeltraject bestond uit een knelpuntanalyse, een systematische inventarisatie van bestaande richtlijnen, een veldinventarisatie van beschikbare interventies, een transparant literatuuronderzoek, diverse commentaarrondes onder de werkgroep- en klankbordgroepleden en een praktijktoets. Bij de richtlijn werden een indicatorenset en een stroomschema ontwikkeld. De indicatoren worden beschreven in dit rapport. De richtlijn zelf is apart uitgegeven (Meeuwissen et al., 2015a).
MULTIFILE
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
PURPOSE: To study the preliminary effects and feasibility of the “Traffic Light Method for somatic screening and lifestyle” (TLM) in patients with severe mental illness. DESIGN AND METHODS: A pilot study using a quasi-experimental mixed method design with additional content analyses of lifestyle plans and logbooks. FINDINGS: Significant improvements were found in body weight and waist circumference. Positive trends were found in patients’ subjective evaluations of the TLM. The implementation of the TLM was considered feasible. PRACTICE IMPLICATIONS: The TLM may contribute to a higher quality of care regarding somatic screening and lifestyle training.
DOCUMENT
BACKGROUND/OBJECTIVES: Traditional malnutrition screening instruments, including the Malnutrition Universal Screening Tool (MUST), strongly rely on low body mass index (BMI) and weight loss. In overweight/obese patients, this may result in underdetection of malnutrition risk. Alternative instruments, like the Patient-Generated Subjective Global Assessment Short Form (PG-SGA SF), include characteristics and risk factors irrespective of BMI. Therefore, we aimed to compare performance of MUST and PG-SGA SF in malnutrition risk evaluation in overweight/obese hospitalized patients.SUBJECTS/METHODS: We assessed malnutrition risk using MUST (≥1 = increased risk) and PG-SGA SF (≥4 = increased risk) in adult patients at hospital admission in a university hospital. We compared results for patients with BMI < 25 kg/m 2 vs. BMI ≥ 25 kg/m 2. RESULTS: Of 430 patients analyzed (58 ± 16 years, 53% male, BMI 26.9 ± 5.5 kg/m 2), 35% were overweight and 25% obese. Malnutrition risk was present in 16% according to MUST and 42% according to PG-SGA SF. In patients with BMI < 25 kg/m 2, MUST identified 31% as at risk vs. 52% by PG-SGA SF. In patients with BMI ≥ 25 kg/m 2, MUST identified 5% as at risk vs. 36% by PG-SGA SF. Agreement between MUST and PG-SGA SF was low (к = 0.143). Of the overweight/obese patients at risk according to PG-SGA SF, 83/92 (90%) were categorized as low risk by MUST. CONCLUSIONS: More than one-third of overweight/obese patients is at risk for malnutrition at hospital admission according to PG-SGA SF. Most of them are not identified by MUST. Awareness of BMI-dependency of malnutrition screening instruments and potential underestimation of malnutrition risk in overweight/obese patients by using these instruments is warranted.
DOCUMENT
Abstract Background One of the most problematic expression of ageing is frailty, and an approach based on its early identification is mandatory. The Sunfrail-tool (ST), a 9-item questionnaire, is a promising instrument for screening frailty. Aims • To assess the diagnostic accuracy and the construct validity between the ST and a Comprehensive Geriatric Assessment (CGA), composed by six tests representative of the bio-psycho-social model of frailty; • To verify the discriminating power of five key-questions of the ST; • To investigate the role of the ST in a clinical-pathway of falls’ prevention. Methods In this retrospective study, we enrolled 235 patients from the Frailty-Multimorbidity Lab of the University-Hospital of Parma. The STs’ answers were obtained from the patient’s clinical information. A patient was considered frail if at least one of the CGAs’ tests resulted positive. Results The ST was associated with the CGA’s judgement with an Area Under the Curve of 0.691 (CI 95%: 0.591–0.791). Each CGA’s test was associated with the ST total score. The five key-question showed a potential discriminating power in the CGA’s tests of the corresponding domains. The fall-related question of the ST was significantly associated with the Short Physical Performance Battery total score (OR: 0.839, CI 95%: 0.766–0.918), a proxy of the risk of falling. Discussion The results suggest that the ST can capture the complexity of frailty. The ST showed a good discriminating power, and it can guide a second-level assessment to key frailty domains and/or clinical pathways. Conclusions The ST is a valid and easy-to-use instrument for the screening of frailty.
DOCUMENT
BackgroundA key factor in successfully preventing falls, is early identification of elderly with a high risk of falling. However, currently there is no easy-to-use pre-screening tool available; current tools are either not discriminative, time-consuming and/or costly. This pilot investigates the feasibility of developing an automatic gait-screening method by using a low-cost optical sensor and machinelearning algorithms to automatically detect features and classify gait patterns.MethodParticipants (n = 204, age 27 ± 7 yrs.) performed a gait test under two conditions: control and with distorted depth perception (induced by wearing special goggles). Each test consisted of 4x 3m walking at comfortable speed. Full-body 3D kinematics were captured using an optical sensor (Microsoft Xbox One Kinect). Tests were conducted in a public space to establish relatively 'natural' conditions. Data was processed in Matlab and common spatiotemporal variables were calculated per gait section. The 3D-time series data of the centre of mass for each section was used as input for a neural network, that was trained to discriminate between the two conditions.ResultsWearing the goggles affected the gait pattern significantly: gait velocity and step length decreased, and lateral sway increased compared to the control condition. A 2-layer neural network could correctly classify 79% of the gait segments (i.e. with or without distorted vision).ConclusionsThe results show that gait patterns of healthy people with distorted vision could automatically be classified with the proposed approach. Future work will focus on adapting this model for identification of specific physical risk-factors in elderly.
DOCUMENT
Abstract Background Clients with severe mental illness (SMI) have overall poor physical health. SMI reduces life expectancy by 5–17 years, primarily due to physical comorbidity linked to cardiometabolic risks that are mainly driven by unhealthy lifestyle behaviours. To improve physical health in clients with SMI, key elements are systematic somatic screening and lifestyle promotion. The nurse-led GILL eHealth was developed for somatic screening and the imple‑ mentation of lifestyle activities in clients with SMI. Aims of this study are to evaluate the efectiveness of the GILL eHealth intervention in clients with SMI compared to usual care, and to evaluate the implementation process, and the experiences of clients and healthcare providers with GILL eHealth. Methods The GILL study encompasses a cluster-randomised controlled trial in approximately 20 mental health care facilities in the Netherlands. The randomisation takes place at the team level, assigning clients to the eHealth inter‑ vention or the usual care group. The GILL eHealth intervention consists of two complementary modules for somatic screening and lifestyle promotion, resulting in personalised somatic treatment and lifestyle plans. Trained mental health nurses and nurse practitioners will implement the intervention within the multidisciplinary treatment context, and will guide and support the participants in promoting their physical health, including cardiometabolic risk management. Usual care includes treatment as currently delivered, with national guidelines as frame of reference. We aim to include 258 clients with SMI and a BMI of 27 or higher. Primary outcome is the metabolic syndrome severity score. Secondary outcomes are physical health measurements and participants’ reports on physical activity, perceived lifestyle behaviours, quality of life, recovery, psychosocial functioning, and health-related self-efcacy. Measurements will be completed at baseline and at 6 and 12 months. A qualitative process evaluation will be conducted alongside, to evaluate the process of implementation and the experiences of clients and healthcare professionals with GILL eHealth. Discussion The GILL eHealth intervention is expected to be more efective than usual care in improving physical health and lifestyle behaviours among clients with SMI. It will also provide important information on implementation of GILL eHealth in mental health care. If proven efective, GILL eHealth ofers a clinically useful tool to improve physical health and lifestyle behaviours.
DOCUMENT
INTRODUCTION: The scored Patient-Generated Subjective Global Assessment (PG-SGA©) is a validated tool for the screening, assessment and monitoring of malnutrition, and triaging of interventions. It contains a patient-generated component and a healthcare professional (HCP)-generated component.AIM: To translate the PG-SGA into Swedish, assess the linguistic and content validity of the Swedish version, and ensure conceptional, semantic and operational equivalence to the original English PG-SGA.METHODS: In line with the methodology used in previously translated and culturally adapted versions, the standardised 10-step process suggested by the International Society for Health Economics and Outcomes Research (ISPOR) was followed. In step 7, a cross-sectional study targeting patients n = 51 and HCPs n = 52 was performed at a university hospital in Sweden. Using separate questionnaires, patients assessed the patient component and HCPs, the professional component regarding perceived comprehensibility and difficulty (linguistic validity). The HCPs also assessed perceived relevance (content validity) of all items on the PG-SGA. Item indices for comprehensibility (I-CI), difficulty (I-DI) and content validity (I-CVI) were calculated and averaged into scale indices (S-CI, S-DI and S-CVI). Cut-off standards for item and scale indices were used as reference.RESULTS: The Swedish version of the PG-SGA rated excellent for comprehensibility (S-CI 0.96) and difficulty (S-DI 0.93) for the patient component. The professional component rated acceptable for comprehensibility (S-CI 0.89) and below acceptable for difficulty (S-DI 0.70), with the physical examination rated most difficult (I-DI 0.39 to 0.69). Content validity for the full Swedish PG-SGA was rated excellent (S-CVI 0.94).CONCLUSION: The patient component was considered clear and easy to complete. The full Swedish PG-SGA was considered relevant by HCPs for screening and assessment of malnutrition. Due to perceived difficulty with the physical examination, training of Swedish HCPs in using the PG-SGA is essential before implementing the professional component into clinical practice or research.
DOCUMENT
Background Physical activity after bariatric surgery is associated with sustained weight loss and improved quality of life. Some bariatric patients engage insufficiently in physical activity. The aim of this study was to examine whether and to what extent both physical activity and exercise cognitions have changed at one and two years post-surgery, and whether exercise cognitions predict physical activity. Methods Forty-two bariatric patients (38 women, 4 men; mean age 38 ± 8 years, mean body mass index prior to surgery 47 ± 6 kg/m²), filled out self-report instruments to examine physical activity and exercise cognitions pre- and post surgery. Results Moderate to large healthy changes in physical activity and exercise cognitions were observed after surgery. Perceiving less exercise benefits and having less confidence in exercising before surgery predicted less physical activity two years after surgery. High fear of injury one year after surgery predicted less physical activity two years after surgery. Conclusion After bariatric surgery, favorable changes in physical activity and exercise cognitions are observed. Our results suggest that targeting exercise cognitions before and after surgery might be relevant to improve physical activity.
MULTIFILE
