Nutrition and dementia care: developing an evidence-based model for nutritional care in nursing homes.

BACKGROUND: There is a growing volume of research to offer improvements in nutritional care for people with dementia living in nursing homes. Whilst a number of interventions have been identified to support food and drink intake, there has been no systematic research to understand the factors for improving nutritional care from the perspectives of all those delivering care in nursing homes. The aim of this study was to develop a research informed model for understanding the complex nutritional problems associated with eating and drinking for people with dementia. METHODS: We conducted nine focus groups and five semi-structured interviews with those involved or who have a level of responsibility for providing food and drink and nutritional care in nursing homes (nurses, care workers, catering assistants, dietitians, speech and language therapists) and family carers. The resulting conceptual model was developed by eliciting care-related processes, thus supporting credibility from the perspective of the end-users. RESULTS: The seven identified domain areas were person-centred nutritional care (the overarching theme); availability of food and drink; tools, resources and environment; relationship to others when eating and drinking; participation in activities; consistency of care and provision of information. CONCLUSIONS: This collaboratively developed, person-centred model can support the design of new education and training tools and be readily translated into existing programmes. Further research is needed to evaluate whether these evidence-informed approaches have been implemented successfully and adopted into practice and policy contexts and can demonstrate effectiveness for people living with dementia

Managing the patient journey through enteral nutritional care

Nutritional support provision does not happen by accident. Clinical dimensions include screening and assessment, estimation of requirements, identification of a feeding route and the subsequent need for monitoring. Patients may need different forms of nutritional intervention during the course of their illness. Furthermore, these may need to be provided in different locations as their clinical status changes. If this is not properly managed there is potential for inappropriate treatment to be given. Clinical processes can only be effectively implemented if there is a robust infrastructure. The clinical team need to understand the different elements involved in effective service provision and this depends on bringing together disciplines which do not feature overtly on the clinical agenda including catering, finance and senior management. Excellent communication skills at all levels, financial awareness and insight into how other departments function are fundamental to success. Practice needs to be reviewed constantly and creativity about all aspects of service delivery is essential. Finally, it is important that key stakeholders are identified and involved so that they can support any successes and developments. This will raise awareness of the benefits of nutritional intervention and help to ensure that the right resources are available when they are needed

Malnutrition and Risk of Structural Brain Changes Seen on Magnetic Resonance Imaging in Older Adults

Objectives: To study the associations between protein energy malnutrition, micronutrient malnutrition, brain atrophy, and cerebrovascular lesions. Design: Cross-sectional. Setting: Geriatric outpatient clinic. Participants: Older adults (N = 475; mean age 80 ± 7). Measurements: Nutritional status was assessed using the Mini Nutritional Assessment (MNA) and according to serum micronutrient levels (vitamins B1, B6, B12, D; folic acid). White matter hyperintensities (WMHs), global cortical brain atrophy, and medial temporal lobe atrophy on magnetic resonance imaging (MRI) were rated using visual rating scales. Logistic regression analyses were performed to assess associations between the three MNA categories (<17, 17–23.5, ≥23.5) and micronutrients (per SD decrease) and WMHs and measures of brain atrophy. Results: Included were 359 participants. Forty-eight participants (13%) were malnourished (MNA <17), and 197 (55%) were at risk of malnutrition (MNA = 17–23.5). Participants at risk of malnutrition (odds ratio (OR) = 1.93, 95% confidence interval (CI) = 1.01–3.71) or who were malnourished (OR = 2.80, 95% CI = 1.19–6.60) had a greater probability of having severe WMHs independent of age and sex than those with adequate nutritional status. Results remained significant after further adjustments for cognitive function, depressive symptoms, cardiovascular risk factors, history of cardiovascular disease, smoking and alcohol use, and micronutrient levels. Lower vitamin B1 (OR = 1.51, 95% CI = 1.11–2.08) and B12 (OR = 1.45, 95% CI = 1.02–2.04) levels were also related to greater risk of severe WMHs, independent of age and sex. Results remained significant after additional adjustments. MNA and vitamin levels were not associated with measures of brain atrophy. Conclusion: Malnutrition and lower vitamin B1 and B12 levels were independently associated with greater risk of WMHs. Underlying mechanisms need to be further clarified, and whether nutritional interventions can modify these findings also needs to be studied