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Background: Poor food intake is an independent risk factor for malnutrition in oncology patients, and achieving adequate nutrition is essential for optimal clinical and health outcomes. This study investigated interrelationships between nutritional intake and clinical outcomes in hospitalised adult oncology patients. Methods: Estimated nutrition intake data were obtained from patients admitted to a 117-bed tertiary cancer centre during May–July 2022. Clinical healthcare data, including length of stay (LOS) and 30-day hospital readmissions, were obtained from patient medical records. Statistical analysis, including multivariable regression analysis, assessed whether poor nutritional intake was predictive of LOS and readmissions. Results: No relationships between nutritional intake and clinical outcomes were evident. Patients at risk of malnutrition had lower mean daily energy (−898.9 kJ, p = 0.001) and protein (−10.34 g, p = 0.015) intakes. Increased malnutrition risk at admission prolonged LOS (1.33 days, p = 0.008). Hospital readmission rates were 20.2%, and associated with age (r = −0.133, p = 0.015), presence of metastases (r = 0.125, p = 0.02) and longer LOS (1.34 days, r = 0.145, p = 0.02). Sarcoma (43.5%), gynaecological (36.8%) and lung (40.0%) cancers had the highest readmission rates. Conclusions: Despite research showing the benefits of nutritional intake during hospitalisation, evidence continues to emerge on the relationship between nutritional intake and LOS and readmissions that may be confounded by malnutrition risk and cancer diagnosis.

Background: Poor food intake is an independent risk factor for malnutrition in oncology patients, and achieving adequate nutrition is essential for optimal clinical and health outcomes. This review investigated the interrelationships between dietary intakes, hospital readmissions and length of stay in hospitalised adult oncology patients. Methodology: Three databases, MEDLINE, Web of Science and PubMed were searched for relevant publications from January 2000 to the end of August 2022. Results: Eleven studies investigating the effects of dietary intakes on length of stay (LOS) and hospital readmissions in cohorts of hospitalised patients that included oncology patients were identified. Heterogenous study design, nutritional interventions and study populations limited comparisons; however, a meta-analysis of two randomised controlled trials comparing dietary interventions in mixed patient cohorts including oncology patients showed no effect on LOS: mean difference −0.08 (95% confidence interval −0.64–0.49) days (p = 0.79). Conclusions: Despite research showing the benefits of nutritional intake during hospitalisation, evidence is emerging that the relationship between intakes, LOS and hospital readmissions may be confounded by nutritional status and cancer diagnosis.

Balancing the adoption of environmentally sustainable food systems in Australian healthcare and aged care settings whilst meeting nutritional requirements has never been more critical. This scoping review aimed to identify: the major authoritative reports/guidelines related to healthy and environmentally sustainable food procurement and foodservice in aged care and healthcare services released by international and Australian governments/organizations; and the scope of healthy and environmentally sustainable food procurement and foodservice research and training initiatives in aged care and healthcare services implemented in Australia over the past decade. A systematic search yielded n = 17 authoritative reports/guidelines and n = 20 publications describing Australian research and training initiatives. Implementation of healthy and sustainable food procurement and foodservices were limited by staff knowledge and self-efficacy, and unsupportive management. Further intervention and monitoring of healthy and sustainable food procurement and foodservice practices is needed. Whilst professionals working in and managing these services require upskilling to apply evidence-based approaches, no system-wide training programs are currently available. There is an urgent need to resolve the existing gap between recommendations to adopt environmentally sustainable practices and staff training across these sectors.

A client-centred approach sits at the core of modern healthcare. Exploration of the patients’ role within the education of nutrition and dietetic students has not previously been undertaken. This review aimed to synthesise the learning outcomes that result from involvement of patients in nutrition and dietetic student education, and to consider whether these interactions promote patient-centred care. Five electronic databases were searched, supported by hand-searching of references of included studies. Screening of title/abstract and then full text papers was undertaken; key characteristics and outcomes were extracted and synthesised narratively. The likely impact of interventions was evaluated using Kirkpatrick’s Hierarchy; study quality was assessed using the Medical Education Research Study Quality Instrument and Critical Appraisal Skills Programme checklist. Of 7436 studies identified through database searching, and one additional study located through hand searching of reference lists, the final library consisted of 13 studies. All studies reported benefits for student learning from patient involvement, while one paper identified patient benefits from student interventions. Patients as recipients of care mostly contributed in a passive role in student education activities. Quality assessment identified methodological limitations in most studies. Patient involvement in the education of dietitians supports skill development and therefore progression to professional practice. Although nutrition and dietetics education has a focus on client-centred care, the translation of these concepts into an interactive student educational experience has been investigated to a limited extent. Collaboration with patients in student education is an area for further development.

Understanding older patients&rsquo, dietary intake patterns may improve the timing of strategies to address hospital malnutrition. The aims of this study were to explore longitudinally the change in daily energy (kJ/day) and protein (g/day) intake, and associated factors. Data were derived using a 5-point scale to visually estimate plate waste, and known nutrient composition data. Analyses determined the change in intake between admission and day 14, and admission, day 14 and day 28, respectively. Data were available for 39 participants between admission and day 14 (median (interquartile range) age 82 (78&ndash, 87) years, 54% male) and 12 participants between admission, day 14 and day 28 (median (IQR) age 79 (69&ndash, 84) years, 58% male). From admission to day 14 there was a significant increase in the mean (SD) daily intake of energy (6177 (1879) kJ/day vs. 7213 (1903), p &lt, 0.001) and protein (63.7 (23) g/day vs. 76.4 (23.0) g/day, p = 0.003) but no change from admission to day 14 to day 28. There was a significant inverse relationship between amount consumed at admission and change in intake. Variability in elderly patients&rsquo, intake over time has implications for the timing of nutritional care and data collection in research studies.

Ready reckoners are used in the clinical setting as a tool for the estimation of nutrient intake. With increasing opportunities for nutrition research, ready reckoners may provide for a more rapid analysis of nutritional intake than computerised methods, often seen as the gold standard for nutritional analysis. This research aimed to determine the level of agreement between ready reckoner and computerised dietary analysis through a secondary analysis of clinical trial data. Participant food intakes were estimated by trained observers using the one-quarter method. Daily energy and protein intake were estimated by the healthcare network ready reckoner and computerised dietary analysis. Agreement between methods was tested using t-tests, correlations and Bland-Altman plots. A correlation between analysis methods was observed (r = 0.9086 energy, r = 0.8700 protein). Wide limits of agreement were observed for both energy and protein intake. Compared with the computerised method, ready reckoner analysis underestimated energy intake by 600 kJ and protein intake by 5 g. Mean energy and protein intake calculated by each method was significantly different (p < 0.0001 energy; p < 0.0001 protein). No time differences between analysis methods were observed. In the clinical setting, practitioners should be aware of the variability of a ready reckoner compared to computerised dietary analysis. Further investigation into the acceptability of ready reckoners as a reliable method of nutrient intake determination, particularly for analysis of nutrition research, is required.

(1) Background: Mobile technologies may be utilised for dietary intake assessment for people with diabetes. The published literature was systematically reviewed to determine the effect of using mobile electronic devices to record food or nutrient intake on diabetes control and nutrition outcomes; (2) Methods: The review protocol was registered with PROSPERO: registration number CRD42016050079, and followed PRISMA guidelines. Original research of mobile electronic devices where food or nutrient intake was recorded in people with diabetes with any treatment regimen, and where this intervention was compared with usual care or alternative treatment models, was considered. Quality was assessed using the Quality Criteria Checklist for Primary Research; (3) Results: Nine papers formed the final library with a range of interventions and control practices investigated. The food/nutrient intake recording component of the intervention and patient engagement with the technology was not well described. When assessed for quality, three studies rated positive, five were neutral and one negative. There was significantly greater improvement in HbA1c in the intervention group compared to the control group in four of the nine studies; (4) Conclusion: Based on the available evidence there are no clear recommendations for using technology to record dietary data in this population.