Yoon Sunmoo, Broadwell Peter, Alcantara Carmela, Davis Nicole, Sun Frederick F, de Planell Saguer Maria D, Nho Joo Young, Mittelman Mary
General Medicine, Department of Medicine, Columbia University, USA.
Data Science Institute, Columbia University, USA.
Stud Health Technol Inform. 2022 Jun 29;295:324-327. doi: 10.3233/SHTI220728.
We applied mixed-methods to refine our first version of the Twitter message library (English 400, translated into Spanish 400) for African Americans and Hispanic family caregivers for a person with dementia. We conducted a series of expert panels to collect quantitative and qualitative data using surveys and in-depth interviews. Using mixed methods to ensure unbiased results, the panelists first independently scored them (1 message/5 panelist) on a scale of 1 to 4 (1: lowest, 4: highest), followed by in-depth interviews and group discussions. Survey results showed that the average score was 3.47, indicating good to excellent (SD 0.35, ranges from 1.8 to 4). Quantitative surveys and qualitative interviews showed different results in emotional support messages.
我们采用混合方法来完善针对非裔美国人和西班牙裔痴呆症患者家庭护理人员的Twitter信息库的第一版(英文400条,翻译成西班牙文400条)。我们举办了一系列专家小组会议,通过调查和深入访谈来收集定量和定性数据。为确保结果无偏差,小组成员首先独立对信息进行评分(每位小组成员评1条信息),评分范围为1至4分(1分:最低,4分:最高),随后进行深入访谈和小组讨论。调查结果显示,平均得分为3.47分,表明信息质量良好至优秀(标准差为0.35,范围从1.8至4)。定量调查和定性访谈在情感支持信息方面显示出不同结果。