Rapid sociometric mapping of community health workers to identify opinion leaders using an SMS platform: a short report.
Rapid sociometric mapping of community health workers to identify opinion leaders using an SMS platform: a short report.
复制标题
DOI：
10.1186/s13012-017-0611-y
复制
发表时间：
2017-06-26
期刊：
影响因子：
--
通讯作者：
Geng EH
中科院分区：
文献类型：
--
作者：
Odeny TA;Petersen M;Muga CT;Lewis-Kulzer J;Bukusi EA;Geng EH
利用意见领袖加速传播以证据为基础的公共卫生做法，是缩小证据与实践之间差距的一项有希望的战略。网络干预（使用社会网络数据来加速行为改变或提高组织绩效）是一种有希望但尚未得到充分探索的策略。我们的目标是在肯尼亚西部的一个大型艾滋病项目中，利用移动电话技术快速而廉价地绘制社会网络地图，并在社区卫生工作者中确定意见领袖。我们使用基于手机短信服务（SMS）的问卷对社区卫生工作者进行了五项社会计量调查。我们利用调查结果来构建和表征受访者中意见领袖的社会网络。我们计算了特定受访者作为受欢迎的参考点的程度（“度中心性”）和受访者在网络中的影响力（“特征向量中心性”）。联系的38/39（97%）同伴卫生工作者回复了调查；52%为女性。调查反应时间中位数为13.75 min（四分位数间距为8.8-38.7）。通过安全的基于云的短信聚合器传递调查问题的总成本为8.46美元。联系最紧密的个体（高中心性）也是最具影响力的个体（高特征向量中心性）。影响力分布（特征向量中心性）高度偏斜，有利于每个站点的单个有影响力的个体。利用短信技术的普及，我们绘制了与肯尼亚艾滋病毒治疗项目相关的社区卫生工作者的影响网络。调查接受度高，反应速度快，调查确定了明确的意见领袖。总之，我们提供的概念证明，“移动医疗”（mHealth）方法可以在资源有限的环境中有效地绘制卫生保健工作者的意见领导，从而为可复制、可行和有效的基于经验的网络干预打开大门，寻求在卫生保健工作者中传播新的做法和行为。
Using opinion leaders to accelerate the dissemination of evidence-based public health practices is a promising strategy for closing the gap between evidence and practice. Network interventions (using social network data to accelerate behavior change or improve organizational performance) are a promising but under-explored strategy. We aimed to use mobile phone technology to rapidly and inexpensively map a social network and identify opinion leaders among community health workers in a large HIV program in western Kenya. We administered a five-item socio-metric survey to community health workers using a mobile phone short message service (SMS)-based questionnaire. We used the survey results to construct and characterize a social network of opinion leaders among respondents. We calculated the extent to which a particular respondent was a popular point of reference (“degree centrality”) and the influence of a respondent within the network (“eigenvector centrality”). Surveys were returned by 38/39 (97%) of peer health workers contacted; 52% were female. The median survey response time was 13.75 min (inter-quartile range, 8.8–38.7). The total cost of relaying survey questions through a secure cloud-based SMS aggregator was $8.46. The most connected individuals (high degree centrality) were also the most influential (high eigenvector centrality). The distribution of influence (eigenvector centrality) was highly skewed in favor of a single influential individual at each site. Leveraging increasing access to SMS technology, we mapped the network of influence among community health workers associated with a HIV treatment program in Kenya. Survey uptake was high, response rates were rapid, and the survey identified clear opinion leaders. In sum, we offer proof of concept that a “mobile health” (mHealth) approach can be used in resource-limited settings to efficiently map opinion leadership among health care workers and thus open the door to reproducible, feasible, and efficient empirically based network interventions that seek to spread novel practices and behaviors among health care workers.