Mobile phone-based interactive voice response as a tool for improving access to healthcare in remote areas in Ghana - an evaluation of user experiences
Mobile phone-based interactive voice response as a tool for improving access to healthcare in remote areas in Ghana - an evaluation of user experiences
复制标题
DOI：
10.1111/tmi.12864
复制
发表时间：
2017-05-01
影响因子：
3.3
通讯作者：
Fobil, J. N.
中科院分区：
文献类型：
--
作者：
Brinkel, J.;May, J.;Fobil, J. N.
为了调查和确定的因素，增强或构成障碍，接受移动医疗系统，这是在加纳的阿桑特-阿基姆北区进行试点，以支持healthcare of children.METHODS四个半结构化的焦点小组讨论，共37位母亲进行。参与者是从一个研究人群的母亲谁订阅了一个试点mHealth系统，使用交互式语音应答（IVR）的操作。使用定性内容分析方法对数据进行评价。此外，一个简短的定量问卷评估系统的可用性（SUS）。结果结果显示，10类因素，促进用户接受的IVR系统，包括质量的护理经验，健康教育和妇女赋权。被确定为用户接受障碍的八类因素包括缺乏人际互动、所提供的电子建议缺乏更新和培训以及该系统缺乏与社区的社会融合。可用性（SUS中位数：79.3;范围：65-97.5）的系统被评为acceptable.CONCLUSIONS的原则，测试mHealth系统可能是感兴趣的传染病爆发期间，如埃博拉或拉沙热，当有可能是一个特殊的需要特定疾病的健康信息的人群。
OBJECTIVES To investigate and determine the factors that enhanced or constituted barriers to the acceptance of an mHealth system which was piloted in Asante-Akim North District of Ghana to support healthcare of children.METHODS Four semi-structured focus group discussions were conducted with a total of 37 mothers. Participants were selected from a study population of mothers who subscribed to a pilot mHealth system which used an interactive voice response (IVR) for its operations. Data were evaluated using qualitative content analysis methods. In addition, a short quantitative questionnaire assessed system's usability (SUS).RESULTS Results revealed 10 categories of factors that facilitated user acceptance of the IVR system including quality-of-care experience, health education and empowerment of women. The eight categories of factors identified as barriers to user acceptance included the lack of human interaction, lack of update and training on the electronic advices provided and lack of social integration of the system into the community. The usability (SUS median: 79.3; range: 65-97.5) of the system was rated acceptable.CONCLUSIONS The principles of the tested mHealth system could be of interest during infectious disease outbreaks, such as Ebola or Lassa fever, when there might be a special need for disease-specific health information within populations.