Nutrition and Nutritional Care of Elderly People in Finnish Nursing Homes and Hospitals

Background: Malnutrition is a common problem for residents of nursing homes and long-term care hospitals. It has a negative influence on elderly residents and patients health and quality of life. Nutritional care seems to have a positive effect on elderly individuals nutritional status and well-being. Studies of Finnish elderly people s nutrition and nutritional care in institutions are scarce. Objectives: The primary aim was to investigate the nutritional status and its associated factors of elderly nursing home residents and long-term care patients in Finland. In particular, to find out, if the nursing or nutritional care factors are associated with the nutritional status, and how do carers and nurses recognize malnutrition. A further aim was to assess the energy and nutrient intake of the residents of dementia wards. A final objective was to find out, if the nutrition training of professionals leads to changes in their knowledge and further translate into better nutrition for the aged residents of dementia wards. Subjects and methods: The residents (n=2114) and patients (n=1043) nutritional status was assessed in all studies using the Mini Nutritional Assessment test (MNA). Information was gathered in a questionnaire on residents and patients daily routines providing nutritional care. Residents energy and nutrient intake (n=23; n=21) in dementia wards were determined over three days by the precise weighing method. Constructive learning theory was the basis for educating the professionals (n=28). A half-structured questionnaire was used to assess professionals learning. Studies I-IV were cross-sectional studies whereas study V was an intervention study. Results: Malnutrition was common among elderly residents and patients living in nursing homes and hospitals in Finland. According to the MNA, 11% to 57% of the studied elderly people suffered from malnutrition, and 40-89% were at risk of malnutrition, whereas only 0-16% had a good nutritional status. Resident- and patient-related factors such as dementia, impaired ADL (Activities of Daily Living), swallowing difficulties and constipation mainly explained the malnutrition, but also some nutritional care related factors, such as eating less than half of the offered food portion and not receiving snacks were also related to malnutrition. The intake of energy and some nutrients by the residents of dementia wards were lower than those recommended, although the offered food contained enough energy and nutrients. The proportion of residents receiving vitamin D supplementation was low, although there is a recommendation and known benefits for the adequate intake of vitamin D. Nurses recognized malnutrition poorly, only one in four (26.7%) of the actual cases. Keeping and analysing food diaries and reflecting on nutritional issues in small group discussions were effective training methods for professionals. The nutrition education of professionals had a positive impact on the energy and protein intake, BMIs, and the MNA scores of some residents in dementia wards. Conclusions: Malnutrition was common among elderly residents and patients living in nursing homes and hospitals in Finland. Although residents- and patient related factors mainly explained malnutrition, nurses recognized malnutrition poorly and nutritional care possibilities were in minor use. Professionals nutrition education had a positive impact on the nutrition of elderly residents. Further studies describing successful nutritional care and nutrition education of professionals are needed.

Promoting diet and physical activity in nurses: A systematic review

Objective: To systematically review the effectiveness of intervention studies promoting diet and physical activity (PA) in nurses. Data Source: English language manuscripts published between 1970 and 2014 in PubMed, Scopus, CINAHL, and EMBASE, as well as those accessed with the PICO tool, were reviewed. Study Inclusion and Exclusion Criteria: Inclusion criteria comprised (1) nurses/student nurses working in a health care setting and (2) interventions where PA and/or diet behaviors were the primary outcome. Exclusion criteria were (1) non–peer-reviewed articles or conference abstracts and (2) interventions focused on treatment of chronic conditions or lifestyle factors other than PA or diet in nurses. Data Extraction: Seventy-one full texts were retrieved and assessed for inclusion by two reviewers. Data were extracted by one reviewer and checked for accuracy by a second reviewer. Data Synthesis: Extracted data were synthesized in a tabular format and narrative summary. Results: Nine (n = 737 nurses) studies met the inclusion criteria. Quality of the studies was low to moderate. Four studies reported an increase in self-reported PA through structured exercise and goal setting. Dietary outcomes were generally positive, but were only measured in three studies with some limitations in the assessment methods. Two studies reported improved body composition without significant changes in diet or PA. Conclusions: Outcomes of interventions to change nurses' PA and diet behavior are promising, but inconsistent. Additional and higher quality interventions that include objective and validated outcome measures and appropriate process evaluation are required.

Modelling end-of-life care practices: Factors associated with critical care nurse engagement in care provision

Objective To identify factors associated with critical care nurses’ engagement in end-of-life care practices. Methods Multivariable regression modelling was undertaken on 392 responses to an online self-report survey of end-of-life care practices and factors influencing practice by Australian critical care nurses’. Univariate general linear models were built for six end-of-life care practice areas. Results Six statistically significant (p < 0.001) models were developed: Information sharing F(3, 377) = 40.53, adjusted R2 23.8%; Environmental modification F(5, 380) = 19.55, adjusted R2 19.4%; Emotional support F(10, 366) = 12.10, adjusted R2 22.8%; Patient and family centred decision making F(8, 362) = 17.61 adjusted R2 26.4%; Symptom management F(8, 376) = 7.10, adjusted R2 11.3%; and Spiritual support F(9, 367) = 14.66, adjusted R2 24.6%. Stronger agreement with values consistent with a palliative approach, and greater support for patient and family preferences were associated with higher levels of engagement in end-of-life care practices. Higher levels of preparedness and access to opportunities for knowledge acquisition were associated with engagement in the interpersonal practices of patient and family centred decision making and emotional support. Conclusion This study provides evidence for interventions to address factors associated with nurse engagement to increase participation in all end-of-life care practice areas.

Identifying advanced practice: A national survey of a nursing workforce

Background The size and flexibility of the nursing workforce has positioned nursing as central to the goals of health service improvement. Nursing's response to meeting these goals has resulted in proliferation of advanced practice nursing with a confusing array of practice profiles, titles and roles. Whilst numerous models and definitions of advanced practice nursing have been developed there is scant published research of significant scope that supports these models. Consequently there is an ongoing call in the literature for clarity and stability in nomenclature, and confusion in the health industry on how to optimise the utility of advanced practice nursing. Objectives To identify and delineate advanced practice from other levels of nursing practice through examination of a national nursing workforce. Design A cross-sectional electronic survey of nurses using the validated Advanced Practice Role Delineation tool based on the Strong Model of Advanced Practice. Participants Study participants were registered nurses employed in a clinical service environment across all states and territories of Australia. Methods A sample of 5662 registered nurses participated in the study. Domain means for each participant were calculated then means for nursing position titles were calculated. Position titles were grouped by delineation and were compared with one-way analysis of variance on domain means. The alpha for all tests was set at 0.05. Significant effects were examined with Scheffe post hoc comparisons to control for Type 1 error. Results The survey tool was able to identify position titles where nurses were practicing at an advanced level and to delineate this cohort from other levels of nursing practice, including nurse practitioner. The results show that nurses who practice at an advanced level are characterised by high mean scores across all Domains of the Strong Model of Advanced Practice. The mean scores of advanced practice nurses were significantly different from nurse practitioners in the Direct Care Domain and significantly different from other levels of nurse across all domains. Conclusions The study results show that the nurse practitioner, advanced practice nurse and foundation level registered nurse have different patterns of practice and the Advanced Practice Role Delineation tool has the capacity to clearly delineate and define advanced practice nursing. These findings make a significant contribution to the international debate and show that the profession can now identify what is and what is not advanced practice in nursing.

Petition of Isaac Da Silva for money

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Patient perspectives of factors contributing to inadequate dietary intake in acute care patients in hospital

Up to 30% of acute care patients consume less than half of the food provided in hospital. Inadequate dietary intake can have adverse clinical outcomes, including a higher risk of in-hospital mortality. This study aimed to investigate the reasons for poor intake among acute care patients in hospital. Patients with an observed intake of ≤50% of the food provided at lunch were approached to participate in the study. Thirty-two patients participated in semi-structured interviews over a three week period, to provide their perspective of food and mealtimes in hospital and discuss the reasons and factors influencing inadequate intake. Responses were coded and analysed thematically using the framework method. Patients reported both individual and organisational factors contribute to their inadequate intake. Half the patients reported the size of the meals were too large, with some patients reporting that large meal sizes puts them off their food and reduced their intake. ‘Not important to eat all the food provided’, and ‘do not need to eat much food in hospital’ were common attitudes among the patients. Half the patients reported that nurses did not observe their intake and were not concerned if all the food was not eaten. Identifying the reasons for poor intake can assist with the development of suitable interventions to improve dietary intake and reduce the risk of adverse clinical outcomes. Further investigation of suitable interventions to reduce portion sizes and improve both staff and patient perceptions of the importance of food in hospital is recommended.

Training the natives as nurses in Australia: So what went wrong?

The story of the Aboriginal women who participated in Australias nursing history remains largely untold. In the first six decades of the twentieth century, Aboriginal people were confronted with harsh exclusionary practices that forced them to live in settlements, reserves and missions.¹ While many Aboriginal women worked in domestic roles (in white peoples homes and on rural properties), small numbers were trained at public hospitals and some Aboriginal women received training to be native nurses who worked in hospitals on settlements

In this chapter, an indigenous historical lens is applied to the status of Indigenous nurses and midwives in Australia.

Editorial: Closing the gap: Nurses and midwives making a difference

Life expectancy at birth is one of the main indicators of health inequality. Current health and social status indicators for Australian Indigenous people demonstrate major discrepancies in comparison to other Australians. For example, in Australia in 2005–2007 the Indigenous life expectancy gap at birth was 11.5 years for males and 9.7 years for females (Australian Bureau of Statistics, 2009). This gap has remained relatively constant over the last few decades (ABS, 2008). While the main causes of death for Indigenous Australians are similar to those of non-Indigenous Australians, the percentages attributed to the different disease categories are significantly different. For example, death from external causes is 16.2% for the Indigenous population compared to 6.3% for non-Indigenous, and diabetes is 8% for Indigenous Australians compared to 2.4% for non-Indigenous (ABS, 2008; AIHW, 2008). The Australian Government’s response to this troubling issue, urged on by unprecedented support from the public, was the Close the Gap initiative which aims to reduce the gap in life expectancy within a generation (Shadow Report, 2010). Since the introduction of the Close the Gap strategy there have been some claims of success. For example, the Honourable Warren Snowden (Snowden, 2010), Minister for Indigenous Health, outlines some of the changes that have occurred as a result of the implementation of the Indigenous Chronic Disease Package, funded at $805.5 million over four years, as: 294 new positions...