Bottino Leonardo Grabinski, Madalosso Mariana Migliavacca, Garcia Sheila Piccoli, Schaan Beatriz D, Teló Gabriela Heiden
Faculdade de Medicina, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brasil.
Hospital de Clínicas de Porto Alegre, Porto Alegre, RS, Brasil.
Arch Endocrinol Metab. 2020 Apr;64(2):111-120. doi: 10.20945/2359-3997000000216. Epub 2020 Mar 27.
Two researchers conducted independent searches on five different electronic databases: PubMed/MEDLINE, Embase, SciELO, LiLACS and Web of Science. Studies were selected that covered cross-cultural adaptation methodology and validation in Brazil with type 1 and type 2 diabetes patients of any age. After reading the full-text articles, data related to psychometric characteristics were extracted from each study selected. Reliability was assessed with Cronbach's α (Cα). The initial searches identified 2,211 studies. After exclusions, 26 were included, covering a total of 31 questionnaires. Questionnaires were grouped into 11 domains based on their main focus of interest: adherence (n = 8), quality of life (n = 7), diabetes knowledge (n = 3), hypoglycemia (n = 3), self-efficacy (n = 3), satisfaction with pharmaceutical services (n = 1), emotional stress (n = 2), hope (n = 1), attitude towards diabetes (n = 1), perception of disease severity (n=1), and risk of developing diabetes (n = 1). This study identified and reviewed all of the diabetes-specific questionnaires that have been validated for Brazilian Portuguese, which should facilitate selection of the most appropriate instrument for each domain of interest in future research and clinical settings.
PubMed/MEDLINE、Embase、SciELO、拉丁美洲及加勒比卫生科学数据库(LiLACS)和科学网(Web of Science)。入选的研究涵盖了巴西针对任何年龄的1型和2型糖尿病患者的跨文化适应方法及验证。在阅读全文后,从每项入选研究中提取了与心理测量特征相关的数据。使用克朗巴哈系数(Cα)评估信度。初步检索共识别出2211项研究。排除后,纳入了26项研究,共涵盖31份问卷。问卷根据其主要关注焦点分为11个领域:依从性(n = 8)、生活质量(n = 7)、糖尿病知识(n = 3)、低血糖(n = 3)、自我效能感(n = 3)、对药学服务的满意度(n = 1)、情绪压力(n = 2)、希望(n = 1)、对糖尿病的态度(n = 1)、对疾病严重程度的认知(n = 1)以及患糖尿病的风险(n = 1)。本研究识别并综述了所有已针对巴西葡萄牙语进行验证的糖尿病专用问卷,这将有助于在未来研究和临床环境中为每个感兴趣的领域选择最合适的工具。