Grech Lisa, Loe Bao Sheng, Day Daphne, Freeman Daniel, Kwok Alastair, Nguyen Mike, Bain Nathan, Segelov Eva
Department of Medicine, School of Clinical Sciences, Monash University, Melbourne, Australia.
The Psychometrics Centre, University of Cambridge, Cambridge, UK.
Behav Med. 2023 Oct-Dec;49(4):402-411. doi: 10.1080/08964289.2022.2082358. Epub 2022 Jun 15.
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.
患有基础合并症的患者特别容易因感染SARS-CoV-2而出现不良后果。尽管疫苗犹豫具有特定情境性,但目前尚无纳入疾病或治疗相关犹豫因素的量表。我们开发了一个包含六个条目的量表,用于评估与疾病相关的COVID-19疫苗态度和担忧(疾病影响的COVID-19疫苗接受度量表-六项:DIVAS-6)。4683名患有严重和/或慢性疾病的参与者(3560名癌症患者;842名糖尿病患者;281名多发性硬化症(MS)患者)完成了一项包含DIVAS-6的调查。该调查包括牛津COVID-19疫苗犹疑度量表、牛津COVID-19疫苗信心和自满量表、人口统计学、疾病相关以及疫苗接种状态问题。使用探索性因素分析和探索性结构方程模型,这六个条目加载到两个因素上(疾病自满和疫苗易感性)。这两个因素在内部是一致的。测量不变性分析表明,这两个因素在不同患者群体中显示出心理测量学上的等效性。每个因素与两个牛津COVID-19疫苗量表都显著相关,显示出收敛效度。汇总得分显示出在区分不同疾病的疫苗接种状态方面具有可接受的能力,整个样本具有良好到优秀的区分能力。DIVAS-6有两个因素,用于测量与COVID-19疫苗相关的态度和担忧,这些态度和担忧涉及由于基础疾病导致的SARS-CoV-2感染潜在并发症(疾病自满)以及疫苗对疾病进展和治疗的相关影响(疫苗易感性)。这是第一个经过验证的用于测量与疾病相关的COVID-19疫苗担忧的量表,并且已在癌症、糖尿病和MS患者中得到验证。它易于实施,应有助于指导为医疗脆弱人群提供有关COVID-19疫苗接种的信息。