PDF(Pubmed)
Abstract：
BACKGROUND: Program websites are essential resources in the process of residency and fellowship application. We evaluated the information furnished on these resources by Epilepsy fellowship programs. The extent of information provided was compared across geographic zones, academic affiliation, and national ranking.
METHODS: A list of Epilepsy fellowship programs was derived from the Fellowship and Residency Electronic Interactive Database (FREIDA). Links to program websites were obtained directly from FREIDA or using Google\'s search engine. Online data was categorized to reflect program information, education, recruitment, compensation, epilepsy center-specific information, and social media presence. Data points under each category were collected to develop a standardized scoring system. The frequency of criterion present was compared across geographic zones, academic affiliation, and national ranking using parametric and non-parametric statistical tests. Significance was determined at a p-value ≤ 0.05 for all cases. The study utilized IBM SPSS version 28 and Python 3.11.3.
RESULTS: We analyzed 80 Epilepsy fellowship programs. The most reported feature was the program director\'s name and email (100.0%). The least reported features included board pass rates (1.3%), preparatory boot camp (8.8%), and post-fellowship placements (11.3%). Programs were found to be well-represented on X (88.8%), Facebook (81.3%), and Instagram (71.3%). Most (85.0%) of the programs were searchable through Google. The scores for program information, education, recruitment, compensation, epilepsy center-specific information, and social media visibility did not significantly vary based on location, academic affiliation, or rank status.
CONCLUSIONS: Our results demonstrate that despite an online presence, there is much room for improvement in the content available to the applicant. To improve the Match process and attract a roster of well-informed fellows, Epilepsy fellowship programs should furnish program websites with up-to-date information relevant to program information, education, recruitment, compensation, and epilepsy center-specific information.
METHODS: A list of Epilepsy fellowship programs was derived from the Fellowship and Residency Electronic Interactive Database (FREIDA). Links to program websites were obtained directly from FREIDA or using Google\'s search engine. Online data was categorized to reflect program information, education, recruitment, compensation, epilepsy center-specific information, and social media presence. Data points under each category were collected to develop a standardized scoring system. The frequency of criterion present was compared across geographic zones, academic affiliation, and national ranking using parametric and non-parametric statistical tests. Significance was determined at a p-value ≤ 0.05 for all cases. The study utilized IBM SPSS version 28 and Python 3.11.3.
RESULTS: We analyzed 80 Epilepsy fellowship programs. The most reported feature was the program director\'s name and email (100.0%). The least reported features included board pass rates (1.3%), preparatory boot camp (8.8%), and post-fellowship placements (11.3%). Programs were found to be well-represented on X (88.8%), Facebook (81.3%), and Instagram (71.3%). Most (85.0%) of the programs were searchable through Google. The scores for program information, education, recruitment, compensation, epilepsy center-specific information, and social media visibility did not significantly vary based on location, academic affiliation, or rank status.
CONCLUSIONS: Our results demonstrate that despite an online presence, there is much room for improvement in the content available to the applicant. To improve the Match process and attract a roster of well-informed fellows, Epilepsy fellowship programs should furnish program websites with up-to-date information relevant to program information, education, recruitment, compensation, and epilepsy center-specific information.
摘要：
背景：项目网站是居留和奖学金申请过程中必不可少的资源。我们通过癫痫研究金计划评估了这些资源提供的信息。提供的信息范围在不同地理区域进行了比较，学术隶属关系，和全国排名。
方法：癫痫研究计划列表来自奖学金和住院医师电子交互数据库（FREIDA）。程序网站的链接是直接从FREIDA或使用Google的搜索引擎获得的。在线数据被分类以反映节目信息，教育,招募,补偿,癫痫中心特定信息，和社交媒体的存在。收集每个类别下的数据点以开发标准化评分系统。标准存在的频率在不同地理区域进行了比较，学术隶属关系，和国家排名使用参数和非参数统计检验。对于所有情况,在p值≤0.05时确定显著性。该研究使用了IBMSPSS版本28和Python3.11.3。
结果：我们分析了80项癫痫研究计划。报告最多的功能是程序主管的姓名和电子邮件（100.0％）。报告最少的功能包括董事会通过率(1.3%)，预备训练营(8.8%),和研究金职位后的安置(11.3%)。发现程序在X上有很好的代表性(88.8%)，Facebook（81.3%），和Instagram（71.3%）。大多数（85.0％）的程序都可以通过Google搜索。节目信息的分数，教育,招募,补偿,癫痫中心特定信息，和社交媒体的知名度没有显着变化，基于位置，学术隶属关系，或等级状态。
结论：我们的结果表明，尽管在线存在，申请人可获得的内容还有很大的改进空间。为了改善比赛过程并吸引消息灵通的研究员名册，癫痫研究金计划应向计划网站提供与计划信息相关的最新信息，教育,招募,补偿,和癫痫中心特定的信息。
方法：癫痫研究计划列表来自奖学金和住院医师电子交互数据库（FREIDA）。程序网站的链接是直接从FREIDA或使用Google的搜索引擎获得的。在线数据被分类以反映节目信息，教育,招募,补偿,癫痫中心特定信息，和社交媒体的存在。收集每个类别下的数据点以开发标准化评分系统。标准存在的频率在不同地理区域进行了比较，学术隶属关系，和国家排名使用参数和非参数统计检验。对于所有情况,在p值≤0.05时确定显著性。该研究使用了IBMSPSS版本28和Python3.11.3。
结果：我们分析了80项癫痫研究计划。报告最多的功能是程序主管的姓名和电子邮件（100.0％）。报告最少的功能包括董事会通过率(1.3%)，预备训练营(8.8%),和研究金职位后的安置(11.3%)。发现程序在X上有很好的代表性(88.8%)，Facebook（81.3%），和Instagram（71.3%）。大多数（85.0％）的程序都可以通过Google搜索。节目信息的分数，教育,招募,补偿,癫痫中心特定信息，和社交媒体的知名度没有显着变化，基于位置，学术隶属关系，或等级状态。
结论：我们的结果表明，尽管在线存在，申请人可获得的内容还有很大的改进空间。为了改善比赛过程并吸引消息灵通的研究员名册，癫痫研究金计划应向计划网站提供与计划信息相关的最新信息，教育,招募,补偿,和癫痫中心特定的信息。
