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A Web-Based Self-assessment Model for Evaluating Multidisciplinary Cancer Teams in Spain: Development and Validation
Mercedes Guilabert1, Joan Prades2,3, Josep M Borras2,3
1Health Psychology Department, Miguel Hernandez University, Elche, Spain.
This study developed and validated AEMAC, a web-based tool for assessing multidisciplinary cancer teams (MDTs) in Spain. The AEMAC tool demonstrates strong metric properties and usability for improving cancer care quality.
Area of Science:
- Oncology
- Health Services Research
- Digital Health
Background:
- Multidisciplinary Teams (MDTs), particularly tumor boards, are crucial for complex cancer care decision-making.
- Existing frameworks for MDT quality evaluation are limited, with no web-based tools specifically for the Spanish National Health System.
- The increasing complexity of cancer treatments necessitates robust evaluation of MDT performance.
Purpose of the Study:
- To develop a web-based self-assessment model named AEMAC (Autoevaluación de Equipos Multidisciplinares de Atención al Cáncer) for evaluating cancer MDTs in Spain.
- To validate the AEMAC tool by assessing its metric properties, acceptability, and usability among healthcare professionals.
- To provide a much-needed digital solution for MDT quality assessment within the Spanish healthcare context.
Main Methods:
- A three-stage approach: research (literature review, qualitative case study), development (web app creation), and piloting/validation (4 pilot tests with 15 tumor boards).
- Expert validation of thematic areas and quality criteria derived from evidence and best practices.
- Pilot testing involved 243 professionals to analyze tool acceptability and usefulness.
Main Results:
- The AEMAC model comprises 5 thematic areas and 25 quality components, rated on a 3-option scale.
- The web app facilitates individual self-assessment, group prioritization, and improvement plan creation.
- Strong internal consistency (Cronbach's alpha = .86, McDonald's omega = 0.88) and model fit indices were confirmed. Overall satisfaction was rated 7.6/10.
Conclusions:
- The AEMAC program possesses appropriate structure and metric properties for implementation and generalization across hospitals.
- This virtual tool effectively measures key MDT quality aspects, including collaboration, communication, leadership, and organizational environment.
- AEMAC offers a valuable resource for enhancing the quality of multidisciplinary cancer care in Spain.
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