Prevalence of Hospital Malnutrition in Adult Patients
Prevalence and Impact of Hospital Malnutrition on Associated Outcomes
1 other identifier
observational
2,126
1 country
1
Brief Summary
Malnutrition of patients on admission to hospitals are estimated to be as high as 60%, although the prevalence varies between countries. The impact of malnutrition on patient recovery and discharge is severe, with extensive cost implications. This study aims to assess the prevalence of at risk for malnutrition among adult patients admitted to hospital across 3 countries on the African continent.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Jan 2015
Typical duration for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
January 1, 2015
CompletedFirst Submitted
Initial submission to the registry
May 27, 2015
CompletedFirst Posted
Study publicly available on registry
July 27, 2015
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 1, 2017
CompletedStudy Completion
Last participant's last visit for all outcomes
December 1, 2017
CompletedJune 1, 2018
May 1, 2018
2.9 years
May 27, 2015
May 31, 2018
Conditions
Outcome Measures
Primary Outcomes (1)
Change in prevalence of risk for malnutrition during the period of hospitalization
Baseline (Admission) data will be gathered during to the first 48 hours after hospital admission. Discharge data (Day 28) is collected on day of actual discharge or on day 28 of hospitalization if patient is staying in hospital longer than that. A NRS-2002 score greater than 3 indicates risk for malnutrition.
Baseline; day 28
Secondary Outcomes (2)
Association between risk for malnutrition and in-hospital and post-discharge nutritional / medical indicators
Baseline; day 28 and Day 90
Number of patients obtaining similar screening scores as a measure of relative validity of the different screening tools used against each other
Baseline and day 28
Eligibility Criteria
All adult patients admitted to the hospitals (3 in South Africa \[Tygerberg Academic Hospital, Cape Town; Grootte Schuur Academic Hospital, Cape Town; Chris Hani Baragwanath Hospital, Johannesburg\]; 2 in Kenya \[Aga Khan University Hospital, Nairobi; Mbagathi district hospital, Nairobi\] and 1 in Ghana \[Korle Bu Teaching Hospital, Accra\]) during the defined study periods will be eligible for inclusion in the study.
You may qualify if:
- All patients older than 18 years of age
- Males and females
- Admitted to hospital within the past 48 hours
- Conscious
- Informed consent provided
You may not qualify if:
- Paediatric patients younger than 18 years
- Pregnant and lactating females
- Patients admitted to ICU, burns or relevant acute care wards
- Patients admitted to psychiatry or eating disorders units
- Patients on dialysis
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Tygerberg Hospital
Cape Town, Western Cape, South Africa
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Renee Blaauw, PhD
University of Stellenbosch
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Professor
Study Record Dates
First Submitted
May 27, 2015
First Posted
July 27, 2015
Study Start
January 1, 2015
Primary Completion
December 1, 2017
Study Completion
December 1, 2017
Last Updated
June 1, 2018
Record last verified: 2018-05