利用保护动机理论确定提高儿童和成人适当使用抗生素意愿的因素

PEC innovation Pub Date : 2024-05-22 DOI:10.1016/j.pecinn.2024.100293

Hitomi Kawamura , Keiko Kishimoto

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引用次数: 0

摘要

目的本研究旨在采用基于保护动机理论（PMT）的假设模型，以确定在服用抗生素或给孩子使用抗生素的个人中，提高适当使用抗生素的意向（意向）的因素。方法日本成人参与者（包括 600 名给 14 岁儿童使用抗生素的父母和 600 名服用抗生素的成人）完成了一项在线调查。利用基于 PMT 的 19 个问题对代表意向的假设模型进行了结构方程建模（SEM）。如果假设模型不符合，则重复 SEM 以寻找新模型。从 SEM 中提取了两个因子："了解抗菌素耐药性的风险 "和 "对抗生素的过度期望"。在成人中，SEM 显示 "对抗生素的过度期望"（β = -0.50，p < 0.001）对意向有负面影响；在儿童中，"对抗生素的过度期望"（β = -0.52，p < 0.001）对意向有负面影响，而 "了解抗菌素耐药性的风险"（β = 0.22, p < 0.001）对意向有积极影响。结论成人和儿童抗生素使用意向的影响因素各不相同。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Identifying factors improving the intention to use antibiotics appropriately in children and adults using protection motivation theory

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Identifying factors improving the intention to use antibiotics appropriately in children and adults using protection motivation theory

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” (β = −0.50, p < 0.001) negatively influenced intention; in children, “excessive expectation of antibiotics” (β = −0.52, p < 0.001) negatively influenced intention, while “understanding the risk of antimicrobial resistance” (β = 0.22, p < 0.001) positively influenced intention.