Development and Validation of An Evaluation Scale for Audiovisual Production for Health Interventions - ZIKAMOB
Emily Galdino da Costa,
Izabelly Dutra Fernandes,
Victor Alves Albino,
Roberta Smania-Marques,
Ricardo Olinda,
Leandro Fernandes da Silva,
Adrielly Karoliny de Lima,
Eli Mateus Barbosa Lourenço,
Steffany Sales Galisa,
Emanuelly Oliveira Muniz e Albuquerque,
Matt Smith,
John Traxler and
Silvana Santos
Global Journal of Health Science, 2022, vol. 14, issue 9, 1
Abstract:
According to the World Health Organization, intervention actions and Health Education achieve better performance when based on Behavior Change Theories associated with new technologies. This work aimed to build and validate an Audiovisual Production Assessment Scale (APAS) for use in educational interventions. One hundred videos of up to 90 seconds in length, produced by high school students from Northeast Brazil, were analyzed. The APAS contains twenty statements, grouped into five sections, some of which are based on the Social Cognitive Theory (observational learning; facilitators) and others, such as the halo effect and cognitive comfort, were proposed by Daniel Kahneman. It was found that, of the twenty statements, 15 of them had no significant difference between different evaluators; having obtained a value of 0.941 for Cronbach's Alpha, showing excellent internal reliability of the APAS. On average, 22 (33.8%) videos received a score greater than 60 points, indicating that they have the potential to significantly contribute to population behavior change in relation to the prevention of mosquito-borne arboviruses; 28 (41.3%) contribute satisfactorily; 15 (22.9%), partially and from one to two videos were scored with values lower than 19 points. Altogether, 12% of the videos received maximum scores in relation to the total score and subjective score. The APAS is, therefore, an example of an effective tool for assessing audiovisual content that can be used in educational interventions in health, with good internal reliability. The scale allows evaluating any content, classifying the production into categories that reveal its potential to promote behavior change.
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:ibn:gjhsjl:v:14:y:2022:i:9:p:1
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