The Disease Influenced Vaccine Acceptance Scale-Six (DIVAS-6): Validation of a Measure to Assess Disease-Related COVID-19 Vaccine Attitudes and Concerns.
L. Grech, B. S. Loe, D. Day, D. Freeman, A. Kwok, M. Nguyen, N. Bain, E. Segelov
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引用次数: 4
Abstract
Patients with underlying comorbidities are particularly vulnerable to poor outcomes from SARS-CoV-2 infection. Despite the context-specific nature of vaccine hesitancy, there are currently no scales that incorporate disease or treatment-related hesitancy factors. We developed a six-item scale assessing disease-related COVID-19 vaccine attitudes and concerns (The Disease Influenced COVID-19 Vaccine Acceptance Scale-Six: DIVAS-6). A survey incorporating the DIVAS-6 was completed by 4683 participants with severe and/or chronic illness (3560 cancer; 842 diabetes; 281 multiple sclerosis (MS)). The survey included the Oxford COVID-19 Vaccine Hesitancy Scale, the Oxford COVID-19 Vaccine Confidence and Complacency Scale, demographic, disease-related, and vaccination status questions. The six items loaded onto two factors (disease complacency and vaccine vulnerability) using exploratory factor analysis and exploratory structural equation modeling. The two factors were internally consistent. Measurement invariance analysis showed the two factors displayed psychometric equivalence across the patient groups. Each factor significantly correlated with the two Oxford COVID-19 Vaccine scales, showing convergent validity. The summary score showed acceptable ability to discriminate vaccination status across diseases, with the total sample providing good-to-excellent discriminative ability. The DIVAS-6 has two factors measuring COVID-19 vaccine attitudes and concerns relating to potential complications of SARS-CoV-2 infection due to underlying disease (disease complacency) and vaccine-related impact on disease progression and treatment (vaccine vulnerability). This is the first validated scale to measure disease-related COVID-19 vaccine concerns and has been validated in people with cancer, diabetes, and MS. It is quick to administer and should assist with guiding information delivery about COVID-19 vaccination in medically vulnerable populations.
期刊介绍:
Behavioral Medicine is a multidisciplinary peer-reviewed journal, which fosters and promotes the exchange of knowledge and the advancement of theory in the field of behavioral medicine, including but not limited to understandings of disease prevention, health promotion, health disparities, identification of health risk factors, and interventions designed to reduce health risks, ameliorate health disparities, enhancing all aspects of health. The journal seeks to advance knowledge and theory in these domains in all segments of the population and across the lifespan, in local, national, and global contexts, and with an emphasis on the synergies that exist between biological, psychological, psychosocial, and structural factors as they related to these areas of study and across health states.
Behavioral Medicine publishes original empirical studies (experimental and observational research studies, quantitative and qualitative studies, evaluation studies) as well as clinical/case studies. The journal also publishes review articles, which provide systematic evaluations of the literature and propose alternative and innovative theoretical paradigms, as well as brief reports and responses to articles previously published in Behavioral Medicine.