Skip to content

Cost-effectiveness Study of the New Nutrition Screening Tool CIPA at Hospital Admission

Cost-effectiveness Study of the CIPA Screening Method for Patients With Nutritional Risk at Hospital Admission

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT02721706
Enrollment
823
Registered
2016-03-29
Start date
2015-01-31
Completion date
2018-02-28
Last updated
2018-11-14

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

Conditions

Malnutrition

Keywords

Nutrition assessment, inpatients, cost-benefit analysis, quality of life, body composition, mass screening

Brief summary

Objectives: To evaluate the cost-effectiveness of implementing a malnutrition screening tool CIPA at the Hospital Universitario Nuestra Señora de la Candelaria (HUNSC), comparing the impact on health and the healthcare costs of hospitalised patients who are screened for malnutrition and of patients following standard clinical practice. Methodology: The study will consist of a controlled trial on patients admitted to the Internal Medicine and General and Digestive Surgery wards at the HUNSC. In both wards patients will be assigned to a control or to an intervention group. The control group will follow usual hospital clinical care, while the intervention group will be administered the screening tool CIPA for early detection of malnutrition cases and they will be treated according to the screening results. The following variables will be evaluated: length of stay in hospital, mortality, readmissions and in-hospital complications. Cost-effectiveness analysis will be undertaken measuring effectiveness by Quality-Adjusted Life Years (QALYs). Cost per patient will be measured by identifying health care resource utilisation, and the cost-effectiveness measure will be the Incremental Cost-Effectiveness Ratio (ICER). Investigators will calculate the incremental cost per QALY gained related to the intervention. This analysis will allow to quantify the costs (incurred and saved) related to the introduction of the malnutrition screening tool CIPA in the hospital context and to measure the health impact of screened patients.

Interventions

OTHERCIPA nutritional screening tool

The new nutritional screening tool termed CIPA includes Control of food Intake, Protein, and Anthropometry (CIPA) results positive when at least one of the following parameters is met: control of food intake for 72 h \<50%, serum albumin \<3 g/dl, body mass index \<18.5 kg/m2 or mid-upper arm circumference ≤ 22.5 cm.

Sponsors

Instituto de Salud Carlos III
CollaboratorOTHER_GOV
University Hospital of the Nuestra Señora de Candelaria
Lead SponsorOTHER

Study design

Allocation
NON_RANDOMIZED
Intervention model
PARALLEL
Primary purpose
SCREENING
Masking
NONE

Eligibility

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

Inclusion criteria

* Formal consent to participate in the study. * Patients admitted to the Internal Medicine or General Surgery wards.

Exclusion criteria

* Patients treated with nutritional support before CIPA screening is performed. * Patients transferred from other wards. * Patients with an expected length of stay less than 72 hours. * CIPA screening unfeasible for any reason. * Patients with poor short-term prognosis. * Bed destination at hospital admission nonrandomized. * Patients participating in other investigation study. * Pregnancy

Design outcomes

Primary

MeasureTime frame
Cost-effectiveness measured by incremental Cost-effectiveness ratio (ICER)up to 3 months after Hospital discharge time

Secondary

MeasureTime frame
incidence of mortalityup to 3 months after Hospital discharge time
Quality of life measured by quality-adjusted life years (QALYs)up to 3 months after Hospital discharge time
mean length of stay (days)through study completion, an average of 13 days
incidence of readmissionsup to 3 months after hospital discharge time

Countries

Spain

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 27, 2026