NutriTrack: AI-Assisted Nutritional Tracking in the Obesity Clinic (NUTRITRACK)
NutriTrack: An Artificial Intelligence Application for Nutritional and Behavioral Tracking in Patients With Obesity in an Outpatient Obesity Clinic: A Prospective Observational Pilot Study
NutriTrack is a digital health application designed to support nutritional and behavioral tracking in patients with obesity followed in an outpatient obesity clinic. The application allows patients to record food intake using food photographs, barcode scanning, or manual search, and to register behavioral variables related to eating episodes.
This prospective, single-center, observational pilot study will evaluate the feasibility and usability of NutriTrack in 20 to 50 adult patients with obesity or overweight with comorbidities followed at the Obesity Clinic of Hospital Clínico San Carlos. Participants will use the application for 4 weeks as a complementary tool. The information generated by NutriTrack will be available to healthcare professionals as supportive information and will not replace clinical judgment or modify usual care decisions.
The main outcome is usability measured using the System Usability Scale. Secondary and exploratory outcomes include agreement between artificial intelligence-based nutritional estimates and standard dietitian assessment, adherence to daily food logging, professional perceived clinical utility, changes in eating behavior and emotional regulation scales, and technical feasibility of data export.
Descripción general del estudio
Estado
Condiciones
Intervención / Tratamiento
Descripción detallada
NutriTrack is a digital health application developed within Hospital Clínico San Carlos and Universidad Complutense de Madrid to support nutritional and behavioral tracking in patients with obesity. The application integrates artificial intelligence-based food image recognition, the Spanish BEDCA nutritional database, and a rule-based engine for the detection of clinically relevant eating patterns.
This is a prospective, single-center, observational pilot study with complementary clinical use. The application will be used by adult patients followed at the Obesity Clinic for 4 weeks. Participants will record daily food intake and behavioral variables related to eating episodes, including hunger, satiety, emotional state, eating context, eating speed, perceived control, and cravings.
Healthcare professionals may review the NutriTrack clinical panel as supportive information. The application output will not replace clinical judgment, will not trigger automated clinical decisions, will not modify usual care, and will not be integrated into the hospital electronic health record during the pilot phase.
The study will assess usability, nutritional estimation accuracy, adherence to food logging, professional perceived clinical utility, exploratory changes in emotional regulation and eating behavior, and technical feasibility of data export. The study is intended to generate preliminary evidence to support future larger-scale validation.
Tipo de estudio
Inscripción (Estimado)
Contactos y Ubicaciones
Estudio Contacto
- Nombre: Francisco José García González, PhD, RN
- Número de teléfono: +34657675111
- Correo electrónico: franciscojose.garcia@salud.madrid.org
Ubicaciones de estudio
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Madrid
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Madrid, Madrid, España, 28040
- Hospital Clinico San Carlos
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Contacto:
- Francisco José García González, PhD, RN
- Número de teléfono: +34 657675111
- Correo electrónico: franciscojose.garcia@salud.madrid.org
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Criterios de participación
Criterio de elegibilidad
Edades elegibles para estudiar
- Adulto
- Adulto Mayor
Acepta Voluntarios Saludables
Método de muestreo
Población de estudio
Descripción
Inclusion Criteria:
- Age 18 years or older.
- Diagnosis of obesity, defined as body mass index 30 kg/m2 or higher, or overweight with comorbidities, defined as body mass index 27 kg/m2 or higher.
- Active follow-up at the Obesity Clinic of Hospital Clínico San Carlos.
- Regular possession and use of a smartphone with iOS or Android operating system.
- Ability to read and understand Spanish.
- Signed informed consent.
Exclusion Criteria:
- Active diagnosed eating disorder, including anorexia nervosa, bulimia nervosa, or binge eating disorder.
- Cognitive impairment preventing autonomous use of the application.
- Simultaneous participation in another nutritional intervention study.
- Inability or refusal to use mobile technology.
- Current pregnancy or breastfeeding.
- Acute medical condition requiring hospitalization during the study period.
Plan de estudios
¿Cómo está diseñado el estudio?
Detalles de diseño
Cohortes e Intervenciones
Grupo / Cohorte |
Intervención / Tratamiento |
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NutriTrack Observational Cohort
Adult patients with obesity or overweight with comorbidities followed at the Obesity Clinic of Hospital Clínico San Carlos who will use the NutriTrack application for 4 weeks as a complementary nutritional and behavioral tracking tool.
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NutriTrack is a digital health application used for nutritional and behavioral tracking.
Patients record food intake using food photographs, barcode scanning, or manual search, and report behavioral variables such as hunger, satiety, emotional state, eating context, eating speed, perceived control, and cravings.
The application output is informational, requires healthcare professional supervision, and does not replace clinical judgment or modify usual care.
Otros nombres:
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¿Qué mide el estudio?
Medidas de resultado primarias
Medida de resultado |
Medida Descripción |
Periodo de tiempo |
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System Usability Scale score
Periodo de tiempo: Week 4
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Usability of the NutriTrack application measured using the System Usability Scale.
The score ranges from 0 to 100, with higher scores indicating better usability.
A score of 70 or higher will be considered acceptable.
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Week 4
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Medidas de resultado secundarias
Medida de resultado |
Medida Descripción |
Periodo de tiempo |
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Correlation between AI-based caloric estimation and dietitian assessment
Periodo de tiempo: Week 4
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Correlation between caloric estimation obtained using NutriTrack artificial intelligence-based food image recognition and standard dietitian-nutritionist assessment.
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Week 4
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Adherence to daily food logging
Periodo de tiempo: From baseline to Week 4
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Percentage of days with complete food intake records during the 4-week follow-up period.
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From baseline to Week 4
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Healthcare professional perceived clinical utility score
Periodo de tiempo: Week 4
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Perceived clinical utility of NutriTrack assessed by the healthcare professional using an ad hoc questionnaire.
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Week 4
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Otras medidas de resultado
Medida de resultado |
Medida Descripción |
Periodo de tiempo |
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Change in Difficulties in Emotion Regulation Scale score
Periodo de tiempo: Baseline to Week 4
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Change in emotional regulation from baseline to Week 4 measured using the Difficulties in Emotion Regulation Scale.
Higher scores indicate greater difficulties in emotion regulation.
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Baseline to Week 4
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Change in Eating Disorder Examination Questionnaire score
Periodo de tiempo: Baseline to Week 4
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Change in eating behavior from baseline to Week 4 measured using the Eating Disorder Examination Questionnaire.
Higher scores indicate greater severity of eating disorder-related psychopathology.
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Baseline to Week 4
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Digital competence score
Periodo de tiempo: Baseline
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Baseline digital competence assessed using the DigComp-ES questionnaire.
The score will be explored as a potential factor associated with usability of the NutriTrack application.
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Baseline
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Frequency and type of rule-based eating risk patterns detected by NutriTrack
Periodo de tiempo: From baseline to Week 4
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Frequency and type of eating risk patterns detected by the NutriTrack rule-based engine during the 4-week follow-up period.
Patterns may include emotional eating, rapid eating, night eating, repeated meal omission, and possible binge-eating episodes.
These alerts are informational and visible only to healthcare professionals.
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From baseline to Week 4
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Technical feasibility of HL7 FHIR R4 data export
Periodo de tiempo: Week 4
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Qualitative assessment of the technical feasibility of exporting NutriTrack study data using the HL7 FHIR R4 format for research data archiving.
The export will not be used for clinical integration with the hospital electronic health record during the pilot study.
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Week 4
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Colaboradores e Investigadores
Patrocinador
Colaboradores
Investigadores
- Investigador principal: Francisco José García González, PhD, RN, Hospital Clínico San Carlos / Universidad Complutense de Madrid
Publicaciones y enlaces útiles
Publicaciones Generales
- Ministerio de Sanidad. Base de Datos Española de Composición de Alimentos (BEDCA). 2023.
- Gratz KL, Roemer L. Multidimensional assessment of emotion regulation and dysregulation. Journal of Psychopathology and Behavioral Assessment. 2004;26(1):41-54.
- Fairburn CG, Beglin SJ. Eating Disorder Examination Questionnaire (EDE-Q 6.0). Guilford Press; 2008.
- Brooke J. SUS: A quick and dirty usability scale. Usability Evaluation In Industry. 1996;189(194):4-7.
Fechas de registro del estudio
Fechas importantes del estudio
Inicio del estudio (Estimado)
Finalización primaria (Estimado)
Finalización del estudio (Estimado)
Fechas de registro del estudio
Enviado por primera vez
Primero enviado que cumplió con los criterios de control de calidad
Publicado por primera vez (Actual)
Actualizaciones de registros de estudio
Última actualización publicada (Actual)
Última actualización enviada que cumplió con los criterios de control de calidad
Última verificación
Más información
Términos relacionados con este estudio
Palabras clave
Términos MeSH relevantes adicionales
Otros números de identificación del estudio
- NUTRITRACK-CEI-HCSC-2026-001
Plan de datos de participantes individuales (IPD)
¿Planea compartir datos de participantes individuales (IPD)?
Información sobre medicamentos y dispositivos, documentos del estudio
Estudia un producto farmacéutico regulado por la FDA de EE. UU.
Estudia un producto de dispositivo regulado por la FDA de EE. UU.
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