Background: The increasing media presence of healthcareprofessionals signifi cantly infl uences public health perception,trust in healthcare systems, and the spread of healthinformation, necessitating a systematic approach to evaluateand optimize their communication strategies.Aim: To develop and present an innovative methodologicalframework—the MECA (Media Exposure Content Analysis)matrix—for the systematic analysis of media appearancesof healthcare professionals, integrating both qualitative andquantitative approaches to assess verbal, nonverbal, andparaverbal communication elements.Methods: A total of 181 statements made by healthcareprofessionals—including physicians, nurses, medical technicians,pharmacists, and psychologists—were analysed.Statements by the Minister of Health were also included,given their systemic relevance. The dataset was compiledfrom television news reports aired on TV chanels betweenJanuary 1 and January 31, 2024. A comprehensive reviewof existing content analysis methodologies was conductedto inform the analytical framework. The MECA matrixwas validated through rigorous procedures to ensure itsreliability and consistency.Results: The MECA matrix was designed and implementedto categorise and code media appearances. It integrates bothqualitative and quantitative approaches to systematicallyassess communication elements across these dimensions toassess verbal, nonverbal, and paraverbal communicationelements.Conclusion: The MECA matrix offers a novel, multidimensionalapproach for evaluating healthcare communicationin media settings, addressing a crucial gap inexisting methodologies by including ethical criteria andenabling cross-modal analysis. While the model haslimitations—such as the need for linguistic competence andthe inability to analyse purely visual or non-contextual audiocontent—it signifi cantly advances the systematic evaluationof public health communication, supporting professionaldevelopment, trust-building, and public health policyformation.