Department of Psychology, West Chester University, West Chester, USA.
Department of Psychology, West Chester University, West Chester, USA.
Patient Educ Couns. 2018 Oct;101(10):1838-1845. doi: 10.1016/j.pec.2018.05.020. Epub 2018 Jun 4.
While there are various medication self-efficacy scales that exist, none assess self-efficacy for appropriate antibiotic use. The Appropriate Antibiotic Use Self-Efficacy Scale (AAUSES) was developed, pilot tested, and its psychometric properties were examined.
Following pilot testing of the scale, a 28-item questionnaire was examined using a sample (n = 289) recruited through the Amazon Mechanical Turk platform. Participants also completed other scales and items, which were used in assessing discriminant, convergent, and criterion-related validity. Test-retest reliability was also examined.
After examining the scale and removing items that did not assess appropriate antibiotic use, an exploratory factor analysis was conducted on 13 items from the original scale. Three factors were retained that explained 65.51% of the variance. The scale and its subscales had adequate internal consistency. The scale had excellent test-retest reliability, as well as demonstrated convergent, discriminant, and criterion-related validity.
The AAUSES is a valid and reliable scale that assesses three domains of appropriate antibiotic use self-efficacy.
The AAUSES may have utility in clinical and research settings in understanding individuals' beliefs about appropriate antibiotic use and related behavioral correlates. Future research is needed to examine the scale's utility in these settings.
虽然存在各种药物自我效能量表，但没有一种可以评估适当使用抗生素的自我效能。开发了适当使用抗生素自我效能量表（AAUSES），对其进行了试点测试，并检验了其心理测量学特性。
在对量表进行试点测试后，使用通过亚马逊 Mechanical Turk 平台招募的样本（n=289）对包含 28 个项目的问卷进行了检查。参与者还完成了其他量表和项目，这些量表和项目用于评估判别、收敛和效标关联效度。还检验了重测信度。
在检查了量表并删除了未评估适当使用抗生素的项目后，对原始量表的 13 个项目进行了探索性因素分析。保留了三个因子，解释了 65.51%的方差。该量表及其分量表具有足够的内部一致性。该量表具有极好的重测信度，并且表现出了收敛、判别和效标关联效度。
AAUSES 是一种有效且可靠的量表，可评估适当使用抗生素的自我效能的三个领域。
AAUSES 可能在临床和研究环境中具有实用价值，可以帮助理解个体对适当使用抗生素的信念以及相关的行为相关性。未来需要研究该量表在这些环境中的实用性。
