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Identifying factors improving the intention to use antibiotics appropriately in children and adults using protection motivation theory.
Kawamura, Hitomi; Kishimoto, Keiko.
Afiliación
  • Kawamura H; Division of Social Pharmacy, Department of Healthcare and Regulatory Sciences, Graduate School of Pharmacy, Showa University, 1-5-8 Hatanodai, Shinagawa-ku, Tokyo 142-8555, Japan.
  • Kishimoto K; Department of Pharmacy, Tokyo Rosai Hospital, 4-13-21 Omoriminami, Ota-ku, Tokyo 143-0013, Japan.
PEC Innov ; 4: 100293, 2024 Dec.
Article en En | MEDLINE | ID: mdl-38847019
ABSTRACT

Objective:

This study aimed to employ hypothetical models based on the protection motivation theory (PMT) to identify factors that improve the intention to use antibiotics appropriately (intention) among individuals who take antibiotics or administer them to their children.

Methods:

Adult Japanese participants, including 600 parents who administer antibiotics to children aged <14 years and 600 adults who take them, completed an online survey. Structural equation modeling (SEM) was conducted on hypothetical models representing intention using 19 questions based on PMT. If the hypothesized model did not fit, SEM was repeated to search for a new model.

Results:

The hypothesized models did not fit. Two factors were extracted from SEM "understanding the risk of antimicrobial resistance" and "excessive expectation of antibiotics." In adults, SEM revealed that "excessive expectation of antibiotics" (ß = -0.50, p < 0.001) negatively influenced intention; in children, "excessive expectation of antibiotics" (ß = -0.52, p < 0.001) negatively influenced intention, while "understanding the risk of antimicrobial resistance" (ß = 0.22, p < 0.001) positively influenced intention.

Conclusion:

Factors influencing intention varied between adult and pediatric antibiotic use. Innovation Awareness activities for appropriate antibiotic use should be tailored to population characteristics.
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: PEC Innov Año: 2024 Tipo del documento: Article País de afiliación: Japón Pais de publicación: Países Bajos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: PEC Innov Año: 2024 Tipo del documento: Article País de afiliación: Japón Pais de publicación: Países Bajos