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A Dietitian-Driven Unified Nutritional Care Model (ADDUCE)

A Dietitian-Driven Unified Nutritional Care Model (ADDUCE)

Status
Recruiting
Phases
Unknown
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT07730996
Acronym
ADDUCE
Enrollment
216
Registered
2026-07-28
Start date
2026-08-11
Completion date
2027-05-16
Last updated
2026-08-31

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Gastroenterology, Haematologic Disease, Hospitalized Adult Patients, Infectious Diseases, Inpatient Internal Medicine Patients, Pulmonary Diseases, Renal Diseases

Keywords

Disease-related malnutrition, Nutritional risk, Nutritional care, Clinical dietitian, Nutritional risk screening, Medical inpatients, Health services research, Interdisciplinary care, Hospital nutrition, Nutrition, Stepped-wedge cluster randomised trial

Brief summary

The goal of this clinical trial is to learn whether a new way of organising hospital nutrition care can improve outcomes for adults who are admitted to medical wards and are at risk of malnutrition. The main questions it aims to answer are: * Does having clinical dietitians take primary responsibility for nutrition care shorten hospital stay? * Does this approach improve nutritional intake, nutritional status, quality of life, and patient satisfaction? * Does this approach lower healthcare costs compared with current practice? Researchers will compare the new nutrition care model with current practice. In current practice, nursing staff are mainly responsible for nutrition screening and nutrition care planning, while clinical dietitians are involved only when requested. In the new model, clinical dietitians are part of the ward team and take primary responsibility for identifying patients at nutritional risk, planning nutritional care, and providing nutritional treatment. Participants will: * Receive either the current nutrition care approach or the new dietitian-led nutrition care approach, depending on when they are admitted to the ward * Complete questionnaires about their nutritional status, quality of life, and daily activities during their hospital stay and about 30 days later * Have information collected during their hospital stay and from their medical records, including nutritional intake, body weight, length of hospital stay, hospital readmissions, and other health outcomes The study will be conducted on three medical wards at Gødstrup Hospital. All wards will start with current practice and will gradually change to the new nutrition care model during the study period. Researchers will compare outcomes before and after the new model is introduced.

Detailed description

Disease-related malnutrition is common among hospitalised medical patients and is associated with prolonged hospital stay, poorer clinical outcomes, reduced quality of life, and increased healthcare costs. Although evidence-based guidelines recommend systematic nutritional risk screening and nutritional treatment, implementation in routine clinical practice remains inconsistent. In many healthcare systems, including Denmark, responsibility for nutritional risk screening and nutritional care planning is primarily assigned to nursing staff, while clinical dietitians are typically involved only following referral. The ADDUCE trial (A Dietitian-Driven Unified Nutritional Care Model) evaluates an alternative organisational model for delivering hospital nutritional care. The intervention is based on systematic integration of clinical dietitians into ward teams, with dietitians assuming primary responsibility for nutritional risk screening, nutritional assessment, nutritional care planning, and individualised nutritional treatment in close collaboration with nursing staff. Dietitians are present on the wards daily, participate in routine ward activities, and proactively identify patients requiring nutritional care rather than relying solely on referrals. The study uses a stepped-wedge cluster-randomised controlled design conducted across three medical wards at Gødstrup Hospital, Denmark. All participating wards begin in the control condition, representing current clinical practice. The intervention is then introduced sequentially across wards in a randomised order until all wards have implemented the dietitian-driven model. This design allows each ward to contribute data under both control and intervention conditions while facilitating implementation at ward level. Approximately 216 participants will be prospectively recruited and enrolled for detailed data collection, including nutritional intake, body weight, nutritional status, quality of life, patient satisfaction, and other clinical and patient-reported outcomes. In addition, routinely collected hospital data from all eligible patients admitted to participating wards during the study period will be used to evaluate length of hospital stay and hospital readmissions. The enrolled cohort will provide detailed clinical information that supports adjusted analyses of secondary outcomes. The purpose of the study is to determine whether a dietitian-driven model of nutritional care can improve patient outcomes and healthcare efficiency compared with current practice. The study also aims to evaluate whether earlier identification and treatment of patients at nutritional risk can contribute to more systematic nutritional care in hospital settings.

Interventions

BEHAVIORALDietitian-driven nutritional care model

Clinical dietitians are integrated into the ward team and assume primary responsibility for systematic nutritional risk screening, nutritional assessment, nutritional care planning, follow-up, and nutritional treatment. Dietitians identify patients requiring nutritional care without waiting for referral and collaborate with nursing staff and other clinicians to provide coordinated nutritional care during hospital admission.

OTHERCurrent practice nutritional care

Nutritional care delivered according to existing ward procedures, with nursing staff primarily responsible for nutritional risk screening and nutritional care planning and clinical dietitians involved following referral or consultation.

Sponsors

Gødstrup Hospital
Lead SponsorOTHER
The Danish Dietetic Association
CollaboratorOTHER
NIDO Research Foundation
CollaboratorUNKNOWN
Health Research Foundation of Central Denmark Region
CollaboratorUNKNOWN

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
HEALTH_SERVICES_RESEARCH
Masking
NONE

Masking description

This is an open-label study. Owing to the organisational nature of the intervention, participants and clinicians cannot be blinded. Statistical analyses will be performed using masked group allocation, and interpretation of the primary results will occur before unblinding.

Intervention model description

This study uses a stepped-wedge cluster-randomised design. Three medical wards are randomised to the order in which they transition from current practice to the intervention. All wards begin in the control condition and sequentially cross over to the intervention condition at predefined time points until all wards have implemented the intervention.

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

For routinely collected hospital data: Inclusion Criteria: * Age 18 years or older * Admitted to a participating medical ward during the study period * First eligible admission during the study period For the prospectively enrolled cohort: Inclusion Criteria: * Age 18 years or older * Newly admitted * Expected hospital stay until at least day 3 after admission * Able to speak and understand Danish * Able to provide written informed consent

Exclusion criteria

* Terminally ill patients with short expected survival * Patients admitted to an isolation room at the time of recruitment

Design outcomes

Primary

MeasureTime frameDescription
Length of hospital stayThrough study completion, an average of 5 daysLength of hospital stay, defined as the time from hospital admission to hospital discharge. Length of stay will be calculated in hours from electronic health record time stamps and expressed in days (hours/24). Assessed using routinely collected hospital data from all eligible patients admitted to participating wards during the study period.
Hospital re-admissions30 days, 90 daysNumber of hospital readmissions after discharge from the index admission, assessed using routinely collected hospital data from all eligible patients admitted to participating wards during the study period.

Secondary

MeasureTime frameDescription
Days alive and out of hospital30 days, 90 daysDays alive and out of hospital after index admission. Assessed using routinely collected hospital data from all eligible patients admitted to participating wards during the study period.
Mortality30 days, 90 daysAssessed using routinely collected hospital data from all eligible patients admitted to participating wards during the study period.
Daily energy intakeDay 1-3Energy intake (kJ/day) expressed as a percentage of estimated energy requirements, assessed in the prospectively recruited cohort of approximately 216 enrolled participants. Energy intake will be estimated using a 24-hour dietary recall conducted as a structured interview with the participant, supported by data from the hospital electronic meal ordering system and the electronic administration records for enteral and parenteral nutrition.
Daily protein intakeDay 1-3Protein intake (g/day) expressed as a percentage of estimated protein requirements, assessed in the prospectively recruited cohort of approximately 216 enrolled participants. Protein intake will be estimated using a 24-hour dietary recall conducted as a structured interview with the participant, supported by data from the hospital electronic meal ordering system and the electronic administration records for enteral and parenteral nutrition.
Health-related quality of life (EQ-5D-5L)Day 2, day 30Health-related quality of life assessed using the EQ-5D-5L in the prospectively recruited cohort of approximately 216 enrolled participants. The EQ-5D-5L is a self-administered questionnaire that measures health status across five dimensions and includes a health utility index score. Participants may receive assistance from the data collector if needed. Higher index scores indicate better health-related quality of life.
Nutritional riskDay 2, day 30Nutritional risk assessed using the Patient-Generated Subjective Global Assessment Short Form (PG-SGA SF) in the prospectively recruited cohort of approximately 216 enrolled participants. The PG-SGA SF is completed by the participant as a self-administered questionnaire, with assistance from the data collector if required to facilitate completion. The questionnaire assesses weight history, food intake, nutrition impact symptoms, and functional capacity. Higher scores indicate greater nutritional risk.
Nutritional risk screening completedThroughout study completion, an average of 5 daysProportion of eligible patients who undergo nutritional risk screening during hospital admission, assessed using routinely collected hospital data from all eligible patients admitted to participating wards during the study period.
Nutritional care plan documentedThroughout study completion, an average of 5 daysProportion of eligible patients with a documented nutritional care plan during hospital admission, assessed using routinely collected hospital data from all eligible patients admitted to participating wards during the study period.
Clinical dietitian involvementThroughout study completion, an average of 5 daysProportion of eligible patients with documented involvement of a clinical dietitian during hospital admission, assessed using routinely collected hospital data from all eligible patients admitted to participating wards during the study period.

Countries

Denmark

Contacts

CONTACTMarianne Boll Kristensen, RD, PhD
maboki@rm.dk+4581441015
CONTACTLone Viggers, RD, MSc.
lonvig@rm.dk+4578434500
PRINCIPAL_INVESTIGATORMarianne Boll Kristensen, RD, PhD

Department of Nutrition, Gødstrup Hospital

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Sep 1, 2026