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Murphy, Jane L.; Holmes, Joanne; Brooks, Cindy (2017)
Publisher: Springer Nature
Journal: BMC Geriatrics
Languages: English
Types: Article
Subjects: Nutrition, Research Article, Drinking, Residential care, Meal environment, Qualitative, Dementia, Eating, Geriatrics and Gerontology
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.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

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