The Clinical outcomes, healthcare resource utilization, and related costs (COHERENT) model. Application in heart failure patients.


Por: Bueno H, Bernal JL, Jiménez-Jiménez V, Martín-Sánchez FJ, Rossello X, Moreno G, Goñi C, Gil V, Llorens P, Naranjo N, Jacob J, Herrero-Puente P, Garrote S, Silla-Castro JC, Pocock SJ and Miró Ò

Publicada: 1 jul 2022 Ahead of Print: 20 oct 2021
Resumen:
INTRODUCTION AND OBJECTIVES: Composite endpoints are widely used but have several limitations. The Clinical Outcomes, HEalthcare REsource utilizatioN and relaTed costs (COHERENT) model is a new approach for visually displaying and comparing composite endpoints including all their components (incidence, timing, duration) and related costs. We aimed to assess the validity of the COHERENT model in a patient cohort. METHODS: A color graphic system displaying the percentage of patients in each clinical situation (vital status and location: at home, emergency department [ED] or hospital) and related costs at each time point during follow-up was created based on a list of mutually exclusive clinical situations coded in a hierarchical fashion. The system was tested in a cohort of 1126 patients with acute heart failure from 25 hospitals. The system calculated and displayed the time spent in each clinical situation and health care resource utilization-related costs over 30 days. RESULTS: The model illustrated the times spent over 30 days (2.12% in ED, 23.6% in index hospitalization, 2.7% in readmissions, 65.5% alive at home, and 6.02% dead), showing significant differences between patient groups, hospitals, and health care systems. The tool calculated and displayed the daily and cumulative health care-related costs over time (total, €4 895 070; mean, €144.91 per patient/d). CONCLUSIONS: The COHERENT model is a new, easy-to-interpret, visual display of composite endpoints, enabling comparisons between patient groups and cohorts, including related costs. The model may constitute a useful new approach for clinical trials or observational studies, and a tool for benchmarking, and value-based health care implementation.

Filiaciones:
Bueno H:
 Grupo de Investigación Cardiovascular Multidisciplinaria Traslacional, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain

 Servicio de Cardiología, Hospital Universitario 12 de Octubre, Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), Madrid, Spain

 Facultad de Medicina, Universidad Complutense, Madrid, Spain

 Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Spain

Bernal JL:
 Servicio de Control de Gestión, Hospital Universitario 12 de Octubre, Madrid, Spain

Jiménez-Jiménez V:
 Laboratorio de Mecanoadaptación y Biología de Caveolas, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain

Martín-Sánchez FJ:
 Grupo de Investigación Cardiovascular Multidisciplinaria Traslacional, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain

 Facultad de Medicina, Universidad Complutense, Madrid, Spain

 Servicio de Urgencias, Hospital Clínico San Carlos, Instituto de Investigación Sanitaria Hospital Clínico San Carlos (IdISSC), Madrid, Spain

Rossello X:
 Grupo de Investigación Cardiovascular Multidisciplinaria Traslacional, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain

 Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Spain

 Servei de Cardiologia, Institut d'Investigació Sanitària Illes Balears (IdISBa), Hospital Universitari Son Espases, Palma de Mallorca, Balearic Islands, Spain

Moreno G:
 Servicio de Cardiología, Hospital Universitario 12 de Octubre, Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), Madrid, Spain

 Facultad de Medicina, Universidad Complutense, Madrid, Spain

Goñi C:
 Servicio de Cardiología, Hospital Universitario 12 de Octubre, Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), Madrid, Spain

 Servicio de Control de Gestión, Hospital Universitario 12 de Octubre, Madrid, Spain

Gil V:
 Servei d'Urgències, Hospital Clínic, IDIBAPS, Universitat de Barcelona, Barcelona, Spain

:
 Servicio de Urgencias, Unidad de Corta Estancia y Hospitalización a Domicilio, Hospital General de Alicante, Alicante, Spain

Naranjo N:
 Facultad de Ingeniería Biomédica, Universidad Politécnica de Madrid, Madrid, Spain

Jacob J:
 Servei d'Urgències, Hospital de Bellvitge, L'Hospitalet de Llobregat, Barcelona, Spain

Herrero-Puente P:
 Servicio de Urgencias, Hospital Universitario Central de Asturias, Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Asturias, Spain

Garrote S:
 Grupo de Investigación Cardiovascular Multidisciplinaria Traslacional, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain

 Servicio de Cardiología, Hospital Universitario 12 de Octubre, Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), Madrid, Spain

Silla-Castro JC:
 Unidad de Bioinformática, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain

Pocock SJ:
 Grupo de Investigación Cardiovascular Multidisciplinaria Traslacional, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain

 Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, United Kingdom

Miró Ò:
 Servei d'Urgències, Hospital Clínic, IDIBAPS, Universitat de Barcelona, Barcelona, Spain
ISSN: 18855857





REVISTA ESPANOLA DE CARDIOLOGIA
Editorial
Elsevier Doyma, Spain, España
Tipo de documento: Article
Volumen: 75 Número: 7
Páginas: 585-594
WOS Id: 000833541500008
ID de PubMed: 34688580

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