five

Diabetes-Specific Questionnaires Validated in Brazilian Portuguese: A Systematic Review

收藏
DataCite Commons2020-08-25 更新2024-07-28 收录
下载链接:
https://scielo.figshare.com/articles/Diabetes-Specific_Questionnaires_Validated_in_Brazilian_Portuguese_A_Systematic_Review/12056985
下载链接
链接失效反馈
官方服务:
资源简介:
ABSTRACT 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.

摘要 本研究由两名研究人员独立检索了PubMed/MEDLINE、Embase、SciELO、LiLACS及Web of Science共5个电子数据库。纳入研究需涵盖针对巴西地区任意年龄1型与2型糖尿病患者的跨文化调适方法学及效度验证内容。研究人员在通读全文后,从每一篇纳入的文献中提取了与心理测量学特征相关的数据;信度采用克朗巴哈α系数(Cronbach’s α,Cα)进行评估。初步检索共获得2211篇文献,经筛选剔除后最终纳入26篇,合计涵盖31份量表。根据核心研究主题,纳入的量表被划分为11个类别:治疗依从性(n=8)、生命质量(n=7)、糖尿病知识(n=3)、低血糖相关(n=3)、自我效能感(n=3)、药学服务满意度(n=1)、情绪应激(n=2)、希望水平(n=1)、糖尿病相关态度(n=1)、疾病严重程度感知(n=1)以及糖尿病发病风险(n=1)。本研究系统梳理并综述了所有经巴西葡萄牙语版效度验证的糖尿病特异性量表,可为未来研究及临床实践中针对各关注类别的适宜评估工具选择提供参考依据。
提供机构:
SciELO journals
创建时间:
2020-04-01
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作