Individual Nutritional Intervention for the Prevention of Readmission Among Geriatric Patients

Overview

The purpose of this study is to investigate whether a four-week individual nutritional intervention can reduce the readmission/hospitalization rate among geriatric patients who are discharged to their private home or respite care. Secondarily, whether an individual nutritional intervention can improve nutritional status, functional status, quality of life, muscle strength and reduce mortality in geriatric patients after discharge Two sub-points are investigated using feasibility studies - if photography documentation of meals can be used in practice to assess the energy and protein intake of geriatric patients and whether photography documentation of the refrigerator content at first home visits in the intervention group can predict whether there is an increased risk of readmission.

Method/Design: The trial is conducted as a randomized clinical trial, with recruitment of 40 medical geriatric patients (definition: ≥65 years of age with at least two diagnoses, e.g. hypertension, cardiovascular diseases, diabetes, chronic obstructive pulmonary disease, rheumatic diseases or apoplexy). At discharge the test subjects are randomized to receive either individual dietary counseling or standard treatment with follow-up 30 and 60 days after discharge. All data are collected prior to randomization. The intervention consists of three individual dietary counsellings with the aim to ensure sufficient coverage of energy and protein needs of the subjects (the first at the hospital by discharge, then in week 1 and week 3 at the subject's home/the respite care after discharge) and, if necessary, telephone follow-up in weeks 2 and 4 after discharge. The intervention group, if possible, are asked to take photos of all they eat and drink for two days before individual dietary counselling and send the photos electronically to the responsible investigators before the meeting. Recruitment: Only admitted patients are included in the trial. Attending physician finds the patients through the Health Platform at Sydsjællands University Hospital. The care staff or the attending physician asks whether the patient is willing to talk with the responsible investigators. The responsible investigators then make personal contact with the geriatric patients while they are hospitalized. Patients will be informed orally and in writing about the trial of the responsible investigators. Patients also receive pamphlets about test subjects rights in a health science research project published by the National Science Ethics Committee with the purpose of giving patients an informed basis to make a decision. Patients are informed that they can take a family member or friend to the next conversation. Patients receive at least 24 hours of deliberation time, after which they are contacted by the responsible investigators. Patients who wish to participate in the trial are asked to sign a consent statement. This statement is also signed by the responsible investigator who has given the patient oral information about the trial. The subjects are offered a copy of the consent statement. To ensure uninterrupted conversation, conversation will take place in a room without other people or alternatively in the patient's room and a partition will be put of if the patient is not in a room by them self. Patients who meet the inclusion criteria, wishes to participate in the trial and have signed the consent statement will be contacted again on the date of discharge or the day before, where the trial starts. Test subject may at any time, orally, in writing or by other clear indication, withdraw their consent for participation and withdraw from the trial. Sample size: Based on the primary output "readmission/hospitalization of geriatric patients within a month", the sample size is estimated to be at least 20 subjects in the intervention and control groups, respectively. A total of at least 40 subjects. Statistical analysis: Hypothesis testing will take place using nonparametric statistical tests, as the data can not be assumed to be normal distribution (Mann-Whitney U and Wilcoxon). Fisher's exact test \[M1\] is used for analysis of categorical data. Correlations are analyzed using Spermann analysis