Introduction: Plate wastage in hospital contributes to malnutrition-related complications including longer hospital- ization among cancer patients. The objective of this study was to determine the relationship between patients’ ex- periences of access to food hospital and plate wastage among hospitalized cancer patients. Methods: Two hundred and thirty-one cancer patients in the National Cancer Institute, Malaysia were recruited for this study. All eligible patients were undergoing cancer treatments and provided with informed consent. Data obtained included socio-de- mographic characteristics and patients’ experiences of access to food hospital which will contribute to plate wastage. Plate wastage was determined by weighing the unwanted food left on the plate. Results: Prevalence of plate wastage among cancer patients was high at approximately 54%. The appearance of food served was associated with higher plate wastage (p
Introduction: Malnutrition is a frequent complication in cancer patients and can
negatively affect treatment outcome. Preliminary audit conducted at the Oncology
Clinic, National Cancer Institute (NCI), found that only 5.8% of outpatients underwent
nutrition screening using the Malnutrition Screening Tool (MST), and only 2.6% of
dietitian referrals were recorded. This audit aims to determine the rate of adherence
to nutritional screening, and to implement remedial measures for improved patient
care. Methods: This was a cross-sectional audit comprising three phases, namely
initial audit, remedial measures and re-audit. Criteria audited include screening
rate using MST and dietitian referral based on MST scores. Standards were set at
100% for both criteria. Data collected for initial audit were patients’ MST scores
records and total dietitian referral forms retrieved from Electronic Medical Records.
After initial audit, self-administered questionnaires for nurses and physicians were
developed to identify barriers. Measures implemented for change included patientadministered MST to shorten screening time, and procedure flowchart to facilitate
referral. After 6 months, a re-audit was conducted. Results: Total subjects for
initial audit and re-audit were 349 and 390, respectively. Initial audit and re-audit
showed screening rate using MST increased significantly from 6.3% to 79.5%, but
there was no significant change for the dietitian referral rate. Conclusion: This
clinical audit has led to a change in the policy in NCI outpatient clinics whereby
nurses directly schedule dietitian referrals without going through physicians for
patients with MST scores ≥2. Continuous audit and monitoring are necessary to
facilitate improvement in MST implementation for better outpatient care.
Introduction: This is open label randomised control trial, aimed to identify whether an early (commenced at the time of diagnosis) and intensive nutrition intervention (INI) (individualised dietary counselling, oral nutritional sup- plements [ONS], telephone, and home visit) can improve weight and dietary intake of gynaecological cancer (GC) patients preoperatively. Methods: Selected GC patients planned for surgery were randomly grouped into control group (CG) (n = 35) and intervention group (IG) (n = 34). Malnutrition screening tool (MST) was used as a screening tool, while Patient-Generated Subjective Global Assessment (PG-SGA) was used as a nutrition assessment tool. IG received an intensive individualised dietary counselling with the supply of ONS at baseline (Day 1). This continued with telephone and home visit follow-up by research dietitian (Day 3 and Day 6). Meanwhile, CG only received general nutritional counselling without supply of ONS. Final assessment was conducted on Day 14. The primary outcomes included weight changes measured using TANITA and dietary intake assessment using 24-hour diet recall. Results: Mean duration of INI was 14 days. At the end of the treatment period, there was a significant weight change between groups (p < 0.001), with 0.14% weight gain in IG and 1.3% weight reduction in CG. Mean energy and protein intake of IG were higher compared to CG by +329 kcal/day and +12.2 g/day, respectively. Conclusion: This study showed that INI that incorporated individualised dietary counselling, ONS, telephone counselling, and home visit can increase energy and protein intake of GC patients, resulting in weight gain.