28 resultados para nutrition care

em Deakin Research Online - Australia


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Background. Australia has implemented systematic managed care for patients with chronic disease. Little is known about how GPs perceive their nutrition care role in this system.
Objective. To examine GPs’ perceptions of their roles in the nutrition care of cardiac patients and to identify factors that influence their role.
Methods. Multi-methods research design. Semi-structured interviews were conducted with a sample (n = 30) GPs Victoria, Australia. The resulting narratives were used to develop a quantitative questionnaire to survey a random sample of GPs. Principal components analysis was conducted to reduce the role items to a small number of underlying dimensions. The association between roles and demographic variables were examined using stepwise multiple regressions.
Results. In all, 248 GPs (30% response) participated. Three main roles were established: Influencing, Coordinating and Nutrition Educator role. Together, the roles explained 54% of the total variance. Demographic variables were not associated with these roles. The majority (mean = 88%) endorsed the items which loaded on to the Influencing and Coordinating (mean = 49%) roles. Short consultation time, use of prescribed medications and perception of patient attendance at cardiac rehabilitation reduced the priority for nutrition education.
Conclusions. This study highlights the importance of developing more effective team care arrangements for patients with chronic disease and working with the medical education colleges to develop education resources for doctors that include an explanation of the non-pharmaceutical as well as the pharmaceutical treatment for each chronic disease condition.

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A variety of nutrition screening instruments have been developed and implemented for identifying the risk of undernutrition among community and hospitalized older adults. Despite the high prevalence of undernutrition amongst older adults in long-term care, few screening instruments have been developed or evaluated in this setting. This review aims to evaluate the validity, reproducibility and feasibility of nutrition screening instruments developed for use, or described as being used, with older adults in long-term care. Ten publications encompassing nine independent nutrition screening tools were identified using electronic databases and manual searches of reference lists. The Mini Nutritional Assessment-Short Form (MNA-SF) was the most widely evaluated nutrition screening instrument and met the requirements for a valid instrument (sensitivity and specificity >0.9) for use in the long-term care setting. Modified versions of the MNA for use in China and South Africa also demonstrated acceptable levels of sensitivity and specificity. Other nutrition screening instruments were found to have variable levels of sensitivity and specificity and while some demonstrated levels consistent with the MNA-SF, only two were evaluated across more than one study population, Body Mass Index (BMI)+weight loss and BMI+albumin. These same instruments reported the highest levels of inter-rater and test-retest reproducibility, although this was only tested in one other instrument (Chinese Nutrition Screen -modified MNA). In conclusion, it is evident from this review that further work in this area is needed. Based on validity, reproducibility and feasibility it appears that BMI+weight loss is the most suitable nutrition screening instrument for use in the long-term care setting at this time. MNA-SF is promising; however, there is currently no data for inter-rater or test-retest reproducibility in the long-term care setting.

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Aims and objectives. To review the literature and identify opportunities for nutritional practice improvement in the critically ill and opportunities to improve nurses’ knowledge relating to enteral feeding.

Background.
The literature reports varying nutritional practices in intensive care.

Design.
Systematic review.

Methods.
A systematic search, selection, analysis and review of nursing, medical and dietetic primary research articles was undertaken. Fifteen studies met the selection criteria.

Results.
Delivery of nutrition to the critically ill varied widely. Patients were frequently underfed and less frequently, overfed. Both under- and overfeeding have been linked with unacceptable consequences including infections, extended weaning from mechanical ventilation, increased length of stay and increased mortality. Underfeeding was related to slow initiation and advancement of nutrition support and avoidable feed interruptions. The most common reasons for interrupting feeds were gastrointestinal intolerance and fasting for procedures. Certain nursing practices contributed to underfeeding such as the management of gastric residual volumes.

Conclusions. Consistent and reliable nutrition support in intensive care units is hampered by a lack of evidence leading to varying nutrition practices. Factors impeding delivery of enteral nutrition were considered avoidable. A new concept of a therapeutic range of energy delivery in the critically ill has emerged implying the need for re-evaluation of energy recommendations and improved delivery of enteral nutrition.

Relevance to clinical practice. This review supports the multi-disciplinary development and implementation of an evidence-based enteral feeding protocol in intensive care units as a strategy to improve adequacy of nutritional intake. Critical care nurses are well placed to improve this process.

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BACKGROUND: Nurses have an important role in the delivery and management of enteral nutrition in critically ill patients, to prevent iatrogenic malnutrition. It is not clear how nurses source enteral nutrition information. 


OBJECTIVE: This study aimed to explore Australian nurses' enteral nutrition knowledge and sources of information. 

DESIGN: Data were collected from members of the Australian College of Critical Care Nurses in May 2014 using an online questionnaire. A combination of descriptive statistics and non-parametric analyses were undertaken to evaluate quantitative data. Content analysis was used to evaluate qualitative data. 

RESULTS: 359 responses were included in data analysis. All respondents were Registered Nurses with experience working in an Australian intensive care unit or high dependency unit. Most respondents reported their enteral nutrition knowledge was good (n=205, 60.1%) or excellent (n=35, 10.3%), but many lacked knowledge regarding the effect of malnutrition on patient outcomes. Dietitians and hospital protocols were the most valuable sources of enteral nutrition information, but were not consistently utilised. 

CONCLUSION: Significant knowledge deficits in relation to enteral nutrition were identified. Dietitians were the preferred source of nurses' enteral nutrition information, however their limited availability impacted their efficacy as an information resource. Educational opportunities for nurses need to be improved to enable appropriate nutritional care in critically ill patients.

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Residents from high level (nursing homes) and low-level care facilities (hostel) being served the three common diet texture modifications (full diet, soft-minced diet and pureed diet) were assessed. Individual plate waste was estimated at three meals on one day. Fifty-six males and 156 females, mean age 82.9+/-9.5 (SD) years, of which 139 lived in nursing homes (NH) and 76 in hostels (H) were included. Mean total energy served from meals was 5.3 MJ/day, 5.1 to 5.6 MJ/day, 95% confidence intervals (CI), in NH which was less than in H, 5.9 MJ/day (CI 5.6 to 6.2 MJ/day) (P=0.007). Protein and calcium intakes were lower in NH, 44.5g (CI 41.5 to 47.5g), 359.0mg (CI 333.2 to 384.8mg), versus 50.5g (CI 46.6 to 54.3g), 480.5mg (CI 444.3 to 516.7mg) in H (P=0.017, P<0.001 respectively). There was no difference in nutrient/energy ratios, except for protein/energy, which was higher in NH 11.7 (CI 11.3 to 12.2) than in H 9.8 (CI 9.4 to 10.3) (P<0.001). Ability to self-feed had no significant effect on nutrient intakes in NH. The self fed group (N=63) had the following nutrient intakes: energy 4.0 MJ (CI 3.6 to 4.3 MJ), protein 44.6g (CI 40.3 to 48.9g), calcium 356.9mg (CI 316.3 to 397.4mg), fibre 14.9g (CI 13.2 to 16.5g). The assisted group (N=64) had the following nutrient intakes: energy 3.9MJ (CI 3.6 to 4.2MJ), protein 46.0g (CI 40.7 to 49.6), calcium 361.9mg (CI 327.8 to 396.1mg), fibre 14.9g (CI 13.2 to 16.1g). Of NH classified as eating impaired, 36% received no assistance with feeding and had lower intakes of protein 37.8g (CI 33.0 to 42.1g) compared to those receiving some assistance 46.1g (CI 41.3 to 50.9g) (P=0.026). Reduced energy intake accounted for the differences in nutrient intakes between nursing homes and hostels, except for protein. Strategies to effectively monitor nutrient intakes and to identify those with eating impairment are required in order to ensure adequate nutrition of residents in nursing homes and hostels.

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The risk of malnutrition is high among elderly population, yet few studies have measured indicators of nutritional status among Australian aged-care residents. To determine the relationship between nutritional status and bone density, hand grip strength, and the timed-up and go test, in a group of Australian aged-care residents. Anthropometric and biochemical analysis measured in subjects recruited to be part of a six month multivitamin supplementation study. One hundred and fifteen subjects participated (68% female). The mean (SD) age and body weight was 80.2(10.6) years, and 66.5(15.0) kg, respectively. Eleven percent were underweight (body mass index, BMI, <or =20.0 kg/m(2)), and 20% were obese BMI >or =30 kg/m(2)). Low serum 25-hydroxy-vitamin D (25(OH)D, <or =50 nmol/L) concentrations were found among 79% of subjects. After adjustment for body weight, there was an association between serum 25(OH)D and bone density (heel ultrasound) (r=.204, p=.027). Low serum zinc <or =10.7 micromol/L) concentrations were found among 46% of subjects; this group had a slower timed up and go time compared with those with higher zinc concentrations (n=19, 44.6 +/- 5.6 seconds vs. n=27, 30.0 +/- 3.3 seconds, p=.020). There were no associations between nutritional markers and hand grip strength. In this group, more than (3/4) of subjects had low serum 25(OH)D, and 46% had low zinc concentrations. Serum 25(OH)D was associated a lower bone density and zinc with a slower walking time. This indicates that the elderly in long term residential care facilities are at high risk for poor nutritional status, potentially increasing morbidity and mortality.

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Aims To estimate the level of under-reporting of energy intake by gender, age, ethnicity and body size (normal, overweight, obese) in the 1997 National Nutrition Survey (NNS97) in New Zealand.
Methods Data were from 4,258 participants (1,808 men and 2,450 women aged 15 years and over) who completed the 24-hour diet recall; the primary methodology used in the NNS97. Under-reporting was assessed using the ratio of reported energy intake to estimated resting metabolic rate (EI: RMRest). Cut-off limits were used to identify percentages of under-reporters in the various subgroups.
Results Mean EI: RMRest was 1.40 for all participants (1.51 for men, 1.30 for women, p<0.001) with older age being associated with lower EI: RMRest (p<0.001). There were no significant differences in mean EI: RMRest between ethnic groups for men.
Mean EI: RMRest for women were: Maori 1.46, European 1.29, and Pacific 1.37 (p<0.01). A larger body size was associated with a significantly lower EI: RMRest especially for women.
Percentages of ‘definite’ under-reporters (individual EI: RMRest <0.9) were as follows: men 12%, women 21%; Europeans 16%, Maori 23% and Pacific 26%; normal weight (11%), overweight (19%) and obese (27%) participants; and from 10% in the youngest to 23% in the oldest age group (p<0.001 for all results).
Conclusion In this study, in agreement with the literature, women, older people and obese people under-reported more than men, younger people and non-obese people. Possible ethnic differences in under-reporting rates need further study. Care is needed in interpreting the energy intake data from the NNS97.

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Objective: To describe characteristics of the Victorian out of school hours care (OSHC) sector to assess its potential role in promoting healthy lifestyles to children and their families.

Design: Written questionnaires were sent to 1100 Victorian OSHC programs to collect information about the services, foods and activities offered to children, the training and resources utilised by staff and the type of information sent home to parents/guardians.

Subjects: A total of 426 Victorian OSHC coordinators completed questionnaires in the present descriptive study (39% response rate).

Setting: Out of school hours care provides care for 5–12 years olds before school, after school and/or during school holidays.

Results: Over 80% of coordinators reported offering fruit, breads, cereals, and milk and dairy products. One-third offer vegetables as part of meals or snacks. One-third reported offering cakes, biscuits and/or slices, and chips and/or pastries. About 17% reported offering water, whereas 24% reported offering cordial/soft drinks and fruit juice. Cooking was offered as an after-school activity by about half of those surveyed. Active games were common (62%) as were indoor active games and sports (36%). Sedentary activities were also commonplace (37–51%). Only about 30% of OSHC coordinators had participated in nutrition and/or physical activity training in the previous two years. Few OSHC programs sent home health information to parents/guardians.

Conclusion and application: Opportunities exist to help Victorian OSHC programs with nutrition and physical activity information, resources and training. Although the findings of the present study are specific to Victoria, they highlight the potential role of the growing OSHC sector to help improve the health of Australian children.

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OBJECTIVES: To reduce gain in body mass index (BMI) in overweight/mildly obese children in the primary care setting.
DESIGN: Randomized controlled trial (RCT) nested within a baseline cross-sectional BMI survey.
SETTING: Twenty nine general practices, Melbourne, Australia.
PARTICIPANTS: (1) BMI survey: 2112 children visiting their general practitioner (GP) April-December 2002; (2) RCT: individually randomized overweight/mildly obese (BMI z-score <3.0) children aged 5 years 0 months-9 years 11 months (82 intervention, 81 control).
INTERVENTION: Four standard GP consultations over 12 weeks, targeting change in nutrition, physical activity and sedentary behaviour, supported by purpose-designed family materials.
MAIN OUTCOME MEASURES: Primary: BMI at 9 and 15 months post-randomization. Secondary: Parent-reported child nutrition, physical activity and health status; child-reported health status, body satisfaction and appearance/self-worth.
RESULTS: Attrition was 10%. The adjusted mean difference (intervention-control) in BMI was -0.2 kg/m(2) (95% CI: -0.6 to 0.1; P=0.25) at 9 months and -0.0 kg/m(2) (95% CI: -0.5 to 0.5; P=1.00) at 15 months. There was a relative improvement in nutrition scores in the intervention arm at both 9 and 15 months. There was weak evidence of an increase in daily physical activity in the intervention arm. Health status and body image were similar in the trial arms.
CONCLUSIONS: This intervention did not result in a sustained BMI reduction, despite the improvement in parent-reported nutrition. Brief individualized solution-focused approaches may not be an effective approach to childhood overweight. Alternatively, this intervention may not have been intensive enough or the GP training may have been insufficient; however, increasing either would have significant cost and resource implications at a population level.

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Objective: To determine whether nutrition interventions widen dietary inequalities across socioeconomic status groups.

Design: Systematic review of interventions that aim to promote healthy eating.

Data sources: CINAHL and MEDLINE were searched between 1990 and 2007.

Review methods: Studies were included if they were randomised controlled trials or concurrent controlled trials of interventions to promote healthy eating delivered at a group level to low socioeconomic status groups or studies where it was possible to disaggregate data by socioeconomic status.

Results: Six studies met the inclusion criteria. Four were set in educational setting (three elementary schools, one vocational training). The first found greater increases in fruit and vegetable consumption in children from high-income families after 1 year (mean difference 2.4 portions per day, p<0.0001) than in children in low-income families (mean difference 1.3 portions per day, p<0.0003). The second did not report effect sizes but reported the nutrition intervention to be less effective in disadvantaged areas (p<0.01). The third found that 24-h fruit juice and vegetable consumption increased more in children born outside the Netherlands ("non-native") after a nutrition intervention (beta coefficient = 1.30, p<0.01) than in "native" children (beta coefficient = 0.24, p<0.05). The vocational training study found that the group with better educated participants achieved 34% of dietary goals compared with the group who had more non-US born and non-English speakers, which achieved 60% of dietary goals. Two studies were conducted in primary care settings. The first found that, as a result of the intervention, the difference in consumption of added fat between the intervention and the control group was –8.9 g/day for blacks and –12.0 g/day for whites (p<0.05). In the second study, there was greater attrition among the ethnic minority participants than among the white participants (p<0.04).

Conclusions: Nutrition interventions have differential effects by socioeconomic status, although in this review we found only limited evidence that nutrition interventions widen dietary inequalities. Due to small numbers of included studies, the possibility that nutrition interventions widen inequalities cannot be excluded. This needs to be considered when formulating public health policy.

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Objective To determine whether ascertainment of childhood obesity by surveillance followed by structured secondary prevention in primary care improved outcomes in overweight or mildly obese children.

Design Randomised controlled trial nested within a baseline cross sectional survey of body mass index (BMI). Randomisation and outcomes measurement, but not participants, were blinded to group assignment.

Setting 45 family practices (66 general practitioners) in Melbourne, Australia.

Participants 3958 children visiting their general practitioner in May 2005-July 2006 were surveyed for BMI. Of these, 258 children aged 5 years 0 months up to their 10th birthday who were overweight or obese by International Obesity Taskforce criteria were randomised to intervention (n=139) or control (n=119) groups. Children who were very obese (UK BMI z score 3.0) were excluded.

Intervention Four standard consultations over 12 weeks targeting change in nutrition, physical activity, and sedentary behaviour, supported by purpose designed family materials.

Main outcomes measures Primary measure was BMI at 6 and 12 months after randomisation. Secondary measures were mean activity count/min by 7-day accelerometry, nutrition score from 4-day abbreviated food frequency diary, and child health related quality of life. Differences were adjusted for socioeconomic status, age, sex, and baseline BMI.

Results Of 781 eligible children, 258 (33%) entered the trial; attrition was 3.1% at 6 months and 6.2% at 12 months. Adjusted mean differences (intervention – control) at 6 and 12 months were, for BMI, –0.12 (95% CI –0.40 to 0.15, P=0.4) and –0.11 (–0.45 to 0.22, P=0.5); for physical activity in counts/min, 24 (–4 to 52, P=0.09) and 11 (–26 to 49, P=0.6); and, for nutrition score, 0.2 (–0.03 to 0.4, P=0.1) and 0.1 (–0.1 to 0.4, P=0.2). There was no evidence of harm to the child. Costs to the healthcare system were significantly higher in the intervention arm.

Conclusions Primary care screening followed by brief counselling did not improve BMI, physical activity, or nutrition in overweight or mildly obese 5-10 year olds, and it would be very costly if universally implemented. These findings are at odds with national policies in countries including the US, UK, and Australia.

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Pressure ulcers are serious problems within hospital and aged care settings and are associated with adverse health outcomes and high treatment costs. Because of a high incidence of pressure ulcers in the health system, attention is now being directed to not just preventing, but also more effectively treating them. Nutrition plays a fundamental part in wound healing, with malnutrition, dehydration and recent weight loss identified as independent risk factors for the development of pressure ulcers. While the optimal nutrient intake to promote wound healing is unknown, increased needs for energy, protein, zinc and vitamins A, C and E have been documented. There is reasonable evidence to show that nutritional support, mostly by high-protein oral nutritional supplements, is effective in significantly reducing the incidence of pressure ulcers in at-risk patients by 25%. Intervention studies using high-protein or specialised disease-specific nutritional supplements support a trend to increased healing of established pressure ulcers. Such specialised supplements are typically based on defined amounts of arginine, vitamin C and zinc. Mechanisms by which nutritional support can aid in pressure ulcer prevention and healing are likely related to addressing macro- and/or micro-nutrient deficiencies arising from either poor oral intake or increased nutrient requirements related to the wound healing process. With much more research still to be done in this area, nutrition support appears an efficacious and costeffective adjunct to current medical and nursing approaches in the prevention and treatment of pressure ulcers.

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In a cross-sectional study, we determined whether results from the Mini Nutritional Assessment (MNA), Geriatric Depression Scale (GDS), and Katz Activities of Daily Living (ADL), were associated with nutritional status and mobility in long-term care residents. One hundred and fifteen study participants (mean [SD] age: 80.2 [10.6]) provided informed consent. Fifty eight percent (n = 66) responded to all three questionnaires: 12 were assessed as malnourished (MNA < 17) and 28 were depressed (GDS ≥ 6). Higher levels of depression were associated with lower serum zinc (n = 71, r = -.356, p = .001) and associated with a slower Timed Up and Go test (TUG, n = 38, r = .301, p = .030). MNA was also associated with serum zinc (n = 44, r = .307, P = .021). Non responders to questionnaires (n = 36) had a lower BMI (mean difference: -2.5 ± 1.0 kg/m2, p = .013) and serum 25(OH)D (-8.7 ± 3.8 nmol/l, p = .023) vs. responders. The GDS, in addition to the MNA, is useful in identifying poor nutritional status in residential care. Intervention programs that target depression and poor nutritional status could potentially improve overall quality of life, but it is not clear if depression is leading to poor nutritional status or if poor nutrition is leading to depression.