Implementation of a standardised perioperative nutrition care pathway in upper gastrointestinal cancer surgery: A multisite pilot study.

BACKGROUND: Perioperative nutrition support is recommended for patients undergoing upper gastrointestinal (UGI) cancer surgery; however, limited evidence exists regarding implementation of a nutrition care pathway in clinical practice. The aims of this pilot study were to determine whether implementation of a standardised perioperative nutrition pathway for patients undergoing UGI cancer surgery improves access to dietetics care, as well as to evaluate study feasibility, fidelity, resource requirements and effect on clinical outcomes. METHODS: Patients with newly diagnosed UGI cancer from four major metropolitan hospitals in Melbourne, planned for curative intent surgery, were included in the prospective pilot study (n = 35), with historical controls (n = 35) as standard care. Outcomes were dietetics care (dietetics contacts) nutritional status, hand grip strength, weight change, preoperative hospital admissions, complications and length of stay, recruitment feasibility, fidelity and adherence, and resource requirements. Continuous data were analysed using independent samples t test accounting for unequal variances or a Mann-Whitney U test. Dichotomous data were analysed using Fisher's exact test. RESULTS: The percentage of participants receiving preoperative dietetic intervention increased from 55% to 100% (p < 0.001). Mean ± SD dietetics contacts increased from 2.2 ± 3.7 to 5.9 ± 3.9 (p < 0.001). Non-statistically significant decreases in preoperative nutrition-related hospital admissions, and surgical complications were demonstrated in patients who underwent neoadjuvant therapy. Recruitment rate was 81%, and adherence to the nutrition pathway was high (> 70% for all stages of the pathway). The mean ± SD estimated resource requirement for the preoperative period was 3.7 ± 2.8 h per patient. CONCLUSIONS: Implementation of this standardised nutrition pathway resulted in improved access to dietetics care. Recruitment feasibility and high fidelity to the intervention suggest that a larger study would be viable.

Implementing a standardised perioperative nutrition care pathway in upper gastrointestinal cancer surgery: a mixed-methods analysis of implementation using the Consolidated Framework for Implementation Research.

BACKGROUND: Implementation studies of complex interventions such as nutrition care pathways are important to health services research, as they support translation of research into practice. There is limited research regarding implementation of a nutrition care pathway in an upper gastrointestinal (UGI) cancer population. The aim of this study was to comprehensively evaluate the implementation process of a perioperative nutrition care pathway in UGI cancer surgery using The Consolidated Framework for Implementation Research (CFIR). METHODS: This was a mixed methods implementation study conducted during a pilot study of a standardised nutrition care pathway across four major hospitals between September 2018 to August 2019. Outcome measures included five focus groups among study dietitians (n = 4-8 per group), and quantitative satisfaction surveys from multi-disciplinary team (MDT) members (n = 14) and patients (n = 18). Focus group responses were analysed thematically using the CFIR constructs, which were used as a priori codes. Survey responses were summarised using means and standard deviations. A convergent parallel mixed methods approach according to CFIR domains and constructs was used to integrate qualitative and quantitative data. RESULTS: Qualitative data demonstrated that dietitian perceptions primarily aligned with five CFIR constructs (networks and communications, structural characteristics, adaptability, compatibility and patient needs/resources), indicating a complex clinical and implementation environment. Challenges to implementation mostly related to adapting the pathway, and the compatibility of nutrition coordination to existing aspects of care within each setting. Identified benefits from dietitian qualitative data and MDT survey responses included increased engagement between the dietitian and MDT, and a more proactive approach to nutrition care. Patients were highly satisfied with the service, with the majority of survey items being rated highly (≥4 of a possible 5 points). CONCLUSIONS: The nutrition care pathway was perceived to be beneficial by key stakeholders. Based on the findings, sustainability and compliance to this model of care may be achieved with improved systems level coordination and communication.

Effect of an Evidence-Based Nutrition Care Pathway for Cancer Patients Undergoing Gastrointestinal and Pelvic Surgery.

Malnutrition in gastrointestinal surgery is associated with poorer post-operative outcomes which may be mitigated by delivery of evidence-based nutrition care. This study reports on the development, implementation and evaluation of an evidence-based nutrition care pathway for lower gastrointestinal and pelvic cancer patients. A retrospective cohort study of 40 surgical lower gastrointestinal and pelvic cancer patients pre- and post-implementation of the pathway was conducted. Outcomes assessed were, care pathway adherence, weight change, time to post-operative commencement of nutrition, and post-operative length of stay. Post-implementation of the pathway there were significant improvements in the proportion of patients who received dietetic assessment and education pre-surgery (0% vs 55%, P < .001) at regular intervals during admission (35% vs. 90%, P < .001) and post-discharge (22.5% vs. 81.8%, P < .001). Mean weight change between admission and discharge reduced post-implementation (-3.5%, SD 4.7 vs, -5.6%, SD 4.7; P = 0.08). Post-operative length of stay remained similar (16 day, IQR 11-34.7 vs. 17.5 day, IQR 11.2-25; P = 0.71). Post-implementation a greater proportion of patients commenced oral or enteral nutrition within 24 h, post-operatively (75% vs. 57.5%, P = 0.1). The nutrition care pathway was an effective method for delivering evidence-based nutrition care, resulting in clinically but not statistically significant improvements in outcomes.

Awareness, perceptions and practices regarding cancer-related malnutrition and sarcopenia: a survey of cancer clinicians.

PURPOSE: Cancer-related malnutrition and sarcopenia have severe negative consequences including reduced survival and reduced ability to complete treatment. This study aimed to determine the awareness, perceptions and practices of Australian oncology clinicians regarding malnutrition and sarcopenia in people with cancer. METHODS: A national cross-sectional survey of Australian cancer clinicians was undertaken between November 2018 and January 2019. The 30-item online purpose-designed survey was circulated through professional organizations and health services. RESULTS: The 111 participants represented dietetic (38%), nursing (34%), medical (14%) and other allied health (14%) clinicians. Overall, 86% and 88% clinicians were aware of accepted definitions of malnutrition and sarcopenia, respectively. Perception of responsibility for identification of these conditions varied across participants, although 93% agreed this was a component of their role. However, 21% and 43% of clinicians had limited or no confidence in their ability to identify malnutrition and sarcopenia, respectively. Common barriers to the identification and management of malnutrition were access to the tools or skills required and a lack of services to manage malnourished patients. Common barriers to identification of sarcopenia were lack of confidence and lack of services to manage sarcopenic patients. Enablers for identification and management of malnutrition and sarcopenia were variable; however, training and protocols for management ranked highly. CONCLUSION: While awareness of the importance of cancer-related malnutrition and sarcopenia are high, participants identified substantial barriers to delivering optimal nutrition care. Guidance at a national level is recommended to strengthen the approach to management of cancer-related malnutrition and sarcopenia.

Implementing and sustaining an evidence-based nutrition service in a haematology unit for autologous stem cell transplant patients.

PURPOSE: Effective, timely and evidence-based nutritional management is important in patients receiving autologous haematopoietic stem cell transplant (HSCT) to prevent the negative consequences of developing malnutrition. This study describes a robust process for development and implementation of an evidence-based nutrition care pathway for HSCT patients in a tertiary cancer centre. METHODS: A comprehensive review of the literature was completed to identify relevant articles and evidence-based guidelines to inform the development of the pathway. Evidence from the literature review was assessed and utilised to underpin the development of pathway. The pathway was implemented in the haematology service in collaboration with the multidisciplinary haematology team. Dietetic resource requirements for implementation of the pathway were determined and clinician compliance with the care pathway was assessed to evaluate the feasibility of the pathway in supporting delivery of evidence-based care. RESULTS: The evidence-based care pathway was implemented in 2011 with the final care pathway based on recommendations from five international evidence-based guidelines. Overall clinician compliance with delivering nutrition management described in the care pathway was high at 84%. The dietetic resource requirement for implementation of the care pathway was 300 to 400 h per 100 patients depending on conditioning chemotherapy regimen. CONCLUSION: A robust process for developing and implementing a nutrition care pathway for HSCT patients was effective in supporting the delivery of evidence-based nutritional management for patients treated with HSCT.

Using a public hospital funding model to strengthen a case for improved nutritional care in a cancer setting.

OBJECTIVE: This study aimed to measure the prevalence of malnutrition risk and assessed malnutrition in patients admitted to a cancer-specific public hospital, and to model the potential hospital funding opportunity associated with implementing routine malnutrition screening. METHODS: A point-prevalence audit of malnutrition risk and diagnosable malnutrition was conducted. A retrospective audit of hospital funding associated with documented cases of malnutrition was conducted. Audit results were used to estimate annual malnutrition prevalence, associated casemix-based reimbursement potential and the clinical support resources required to adequately identify and treat malnutrition. RESULTS: Sixty-four percent of inpatients were at risk of malnutrition. Of these, 90% were assessed as malnourished. Twelve percent of malnourished patients produced a positive change in the diagnosis-related group (DRG) and increased allocated financial reimbursement. Identifying and diagnosing all cases of malnutrition could contribute an additional AU$413644 reimbursement funding annually. CONCLUSIONS: Early identification of malnutrition may expedite appropriate nutritional management and improve patient outcomes in addition to contributing to casemix-based reimbursement funding for health services. A successful business case for additional clinical resources to improve nutritional care was aided by demonstrating the link between malnutrition screening, hospital reimbursements and improved nutritional care. What is known about the topic? It is known that between 20 and 50% of hospital patients are malnourished and oncology patients are 1.7 times more likely to be malnourished than are other hospitalised patients. Despite the existence of practice guidelines for malnutrition screening of at-risk oncology patients, these are not routinely implemented. Identification of malnutrition in hospitalised patients is linked to casemix funding via DRG. Casemix reimbursement for malnutrition can be enhanced if: (1) malnutrition risk is identified; (2) malnutrition is diagnosed; (3) the word 'malnutrition' and an associated action plan is documented in the medical record; and (4) malnutrition is recognised and recorded by the clinical coder. Amendments to the ICD-10-AM in 2008 allowing malnutrition to be recognised as a complication for coding when it is documented by a dietitian in the medical history has hospital reimbursement implications for dietetic practice. Reimbursement potential for malnutrition has been calculated in public hospitals in Australia with varying results. What does this paper add? This paper reports the components of a successful business case made to enhance resources for identification and treatment of malnutrition on the basis of improved treatment as well as enhanced reimbursement potential resulting from changes to the ICD-10-AM. The present study adds to the body of literature showing that malnutrition coding contributes to casemix funding in Australian public hospitals, as well as internationally, and highlights the previously unreported opportunity for a cancer-specific health service. This work demonstrated that reassignment of a DRG based on a diagnosis of malnutrition altered the overall casemix funding value for 12% of audited patients. This compares with the findings of other authors who demonstrated hypothetical DRG changes and financial reallocation. What are the implications for practitioners? This paper highlights that practitioner-centred strategies are needed to enhance malnutrition identification, diagnosis, documentation and coding to maximise casemix reimbursement and better treat malnutrition in hospitals. Strategies include education of the dietetics, medical and health-information workforce. This manuscript provides a description of the conduct of quality-improvement activities that may support successful business cases for increased dietetic resources in future.

Interrelationships between Dietary Outcomes, Readmission Rates and Length of Stay in Hospitalised Oncology Patients: A Scoping Review.

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.

Nutritional Intake, Hospital Readmissions and Length of Stay in Hospitalised Oncology Patients.

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.

Machine learning models to predict outcomes at 30-days using Global Leadership Initiative on Malnutrition combinations with and without muscle mass in people with cancer.

BACKGROUND: Equipment to assess muscle mass is not available in all health services. Yet we have limited understanding of whether applying the Global Leadership Initiative on Malnutrition (GLIM) criteria without an assessment of muscle mass affects the ability to predict adverse outcomes. This study used machine learning to determine which combinations of GLIM phenotypic and etiologic criteria are most important for the prediction of 30-day mortality and unplanned admission using combinations including and excluding low muscle mass. METHODS: In a cohort of 2801 participants from two cancer malnutrition point prevalence studies, we applied the GLIM criteria with and without muscle mass. Phenotypic criteria were assessed using ≥5% unintentional weight loss, body mass index, subjective assessment of muscle stores from the PG-SGA. Aetiologic criteria included self-reported reduced food intake and inflammation (metastatic disease). Machine learning approaches were applied to predict 30-day mortality and unplanned admission using models with and without muscle mass. RESULTS: Participants with missing data were excluded, leaving 2494 for analysis [49.6% male, mean (SD) age: 62.3 (14.2) years]. Malnutrition prevalence was 19.5% and 17.5% when muscle mass was included and excluded, respectively. However, 48 (10%) of malnourished participants were missed if muscle mass was excluded. For the nine GLIM combinations that excluded low muscle mass the most important combinations to predict mortality were (1) weight loss and inflammation and (2) weight loss and reduced food intake. Machine learning metrics were similar in models excluding or including muscle mass to predict mortality (average accuracy: 84% vs. 88%; average sensitivity: 41% vs. 38%; average specificity: 85% vs. 89%). Weight loss and reduced food intake was the most important combination to predict unplanned hospital admission. Machine learning metrics were almost identical in models excluding or including muscle mass to predict unplanned hospital admission, with small differences observed only if reported to one decimal place (average accuracy: 77% vs. 77%; average sensitivity: 29% vs. 29%; average specificity: 84% vs. 84%). CONCLUSIONS: Our results indicate predictive ability is maintained, although the ability to identify all malnourished patients is compromised, when muscle mass is excluded from the GLIM diagnosis. This has important implications for assessment in health services where equipment to assess muscle mass is not available. Our findings support the robustness of the GLIM approach and an ability to apply some flexibility in excluding certain phenotypic or aetiologic components if necessary, although some cases will be missed.

Comparison of the prevalence of 21 GLIM phenotypic and etiologic criteria combinations and association with 30-day outcomes in people with cancer: A retrospective observational study.

BACKGROUND & AIMS: The Global Leadership Initiative on Malnutrition (GLIM) criteria require validation in various clinical populations. This study determined the prevalence of malnutrition in people with cancer using all possible diagnostic combinations of GLIM etiologic and phenotypic criteria and determined the combinations that best predicted mortality and unplanned hospital admission within 30 days. METHODS: The GLIM criteria were applied, in a cohort of participants from two cancer malnutrition point prevalence studies (N = 2801), using 21 combinations of the phenotypic (≥5% unintentional weight loss, body mass index [BMI], subjective assessment of muscle stores [from PG-SGA]) and etiologic (reduced food intake, inflammation [using metastatic disease as a proxy]) criteria. Machine learning approaches were applied to predict 30-day mortality and unplanned admission. RESULTS: We analysed 2492 participants after excluding those with missing data. Overall, 19% (n = 485) of participants were malnourished. The most common GLIM combinations were weight loss and reduced food intake (15%, n = 376), and low muscle mass and reduced food intake (12%, n = 298). Machine learning models demonstrated malnutrition diagnosis by weight loss and reduced muscle mass plus either reduced food intake or inflammation were the most important combinations to predict mortality at 30-days (accuracy 88%). Malnutrition diagnosis by weight loss or reduced muscle mass plus reduced food intake was most important for predicting unplanned admission within 30-days (accuracy 77%). CONCLUSIONS: Machine learning demonstrated that the phenotypic criteria of weight loss and reduced muscle mass combined with either etiologic criteria were important for predicting mortality. In contrast, the etiologic criteria of reduced food intake in combination with weight loss or reduced muscle mass was important for predicting unplanned admission. Understanding the phenotypic and etiologic criteria contributing to the GLIM diagnosis is important in clinical practice to identify people with cancer at higher risk of adverse outcomes.

Comparison of the GLIM, ESPEN and ICD-10 Criteria to Diagnose Malnutrition and Predict 30-Day Outcomes: An Observational Study in an Oncology Population.

The Global Leadership Initiative on Malnutrition (GLIM) criteria are consensus criteria for the diagnosis of malnutrition. This study aimed to investigate and compare the prevalence of malnutrition using the GLIM, European Society for Clinical Nutrition and Metabolism (ESPEN) and International Statistical Classification of Diseases version 10 (ICD-10) criteria; compare the level of agreement between these criteria; and identify the predictive validity of each set of criteria with respect to 30-day outcomes in a large cancer cohort. GLIM, ESPEN and ICD-10 were applied to determine the prevalence of malnutrition in 2794 participants from two cancer malnutrition point prevalence studies. Agreement between the criteria was analysed using the Cohen's Kappa statistic. Binary logistic regression models were used to determine the ability of each set of criteria to predict 30-day mortality and unplanned admission or readmission. GLIM, ESPEN and ICD-10 criteria identified 23.0%, 5.5% and 12.6% of the cohort as malnourished, respectively. Slight-to-fair agreement was reported between the criteria. All three criteria were predictive of mortality, but only the GLIM and ICD-10 criteria were predictive of unplanned admission or readmission at 30 days. The GLIM criteria identified the highest prevalence of malnutrition and had the greatest predictive ability for mortality and unplanned admission or readmission in an oncology population.

Malnutrition Prevalence according to the GLIM Criteria in Head and Neck Cancer Patients Undergoing Cancer Treatment.

Malnutrition is highly prevalent in people with head and neck cancer (HCN) and is associated with poorer outcomes. However, variation in malnutrition diagnostic criteria has made translation of the most effective interventions into practice challenging. This study aimed to determine the prevalence of malnutrition in a HNC population according to the Global Leadership Initiative on Malnutrition (GLIM) criteria and assess inter-rater reliability and predictive validity. A secondary analysis of data available for 188 patients with HNC extracted from two cancer malnutrition point prevalence studies was conducted. A GLIM diagnosis of malnutrition was assigned when one phenotypic and one etiologic criterion were present. Phenotypic criteria were ≥5% unintentional loss of body weight, body mass index (BMI), and subjective evidence of muscle loss. Etiologic criteria were reduced food intake, and presence of metastatic disease as a proxy for inflammation. The prevalence of malnutrition was 22.6% (8.0% moderately malnourished; 13.3% severely malnourished). Inter-rater reliability was classified as excellent for the GLIM criteria overall, as well as for each individual criterion. A GLIM diagnosis of malnutrition was found to be significantly associated with BMI but was not predictive of 30 day hospital readmission. Further large, prospective cohort studies are required in this patient population to further validate the GLIM criteria.

Introducing novel advanced practice roles into the health workforce: Dietitians leading in gastrostomy management.

AIM: The number of advanced practice roles in the Australian health-care system is growing alongside contemporary health-care reforms. The present study aimed to evaluate the impact of introducing novel advanced practice dietitian roles in gastrostomy tube (g-tube) management and develop a competency framework for progressing opportunities in dietetics practice and policy. METHODS: A questionnaire was distributed to service lead dietitians at six participating health-care networks at the completion of a dedicated advanced practice funding grant, and at 12-month follow up. Service changes (e.g. number of dietitians credentialed, service and adverse events, change in patient waiting times and staff satisfaction), enablers and barriers for the implementation of the novel roles (including pre-, during, and post-implementation), and clinical costing estimates to measure the financial impact on the health system were investigated. Participant feedback was also used to synthesise the development of an advanced scope of practice pathway to competency. RESULTS: Responses were received from all participating health-care networks. Five out of six sites successfully implemented an advanced practice role in g-tube management, with conservative health system savings estimated at $185 000. Ten dietitians were credentialed, with a further seven trainees in progress. Over 200 service events were recorded, including those diverted from other health professionals. Enabling factors for successful introduction included strong executive and stakeholder support, resources provided by grant funding, and established credentialing governance committees. Barriers included recruitment and governance processes. CONCLUSIONS: Opportunities exist for further expansion of advanced and extended practice roles for dietitians to meet future health-care demands.