A Comparative Evaluation of the Caloric Intake and Economic Efficiency of Two Types of Homogenized Diets in a Hospital Setting.
Camilla CrippaSofia MatteucciManuela PastoreEmanuela MorenghiErica StaraceGiulia De PasqualeGabriella PieriFanny SoekelandStefano Maria GibbiGiuliana Lo CricchioAndrea ZorloniBeatrice MazzoleniStefano MancinPublished in: Nutrients (2023)
The prevalence of malnutrition is increasing globally due to factors such as age-related pathological conditions and diseases that impact food and beverage intake. In hospital settings, older adult patients often require homogenised diets, which can lead to malnutrition due to poor palatability and limited variety. This study compared the Standard Homogenised Diet (HSD) and a Modified Homogenized Diet (HMD) proposed in a tertiary hospital in Northern Italy. A retrospective and observational design was used to analyse data from 86 adult patients with various conditions requiring a homogenised diet. The primary goal was to compare food intake, rheological characteristics, and palatability of the two diets. The secondary objective was to evaluate the economic impact by comparing costs and quantifying food waste from unused meals. Patients on HMD had a median daily caloric intake of 852 kcal (IQR 787-926 kcal) compared to 631 kcal (IQR 506-797 kcal) in the HSD group. Taste, texture, palatability, and ease of intake for HMD outperformed HSD with scores such as 3.7 ± 0.6 vs. 2.5 ± 0.4 for taste. Economically, HMD was EUR 0.53 less expensive per day than HSD, and food wastage costs were significantly lower for HMD (EUR 2.66 ± 0.81) than HSD (EUR 4.66 ± 1.27). Overall, HMD presented substantial benefits in patient satisfaction and cost-efficiency. This insight may aid diverse care settings to enhance meal acceptance and nutritional intake for patients needing homogenised diets.
Keyphrases
- weight loss
- physical activity
- end stage renal disease
- healthcare
- ejection fraction
- newly diagnosed
- chronic kidney disease
- prognostic factors
- weight gain
- emergency department
- magnetic resonance imaging
- palliative care
- magnetic resonance
- computed tomography
- machine learning
- deep learning
- acute care
- human health
- cross sectional
- chronic pain
- body mass index
- adverse drug
- quality improvement
- data analysis