Centre for Media Studies 34-B, Community Centre, Saket, New Delhi 1100017, India.
Eval Program Plann. 2022 Jun;92:102095. doi: 10.1016/j.evalprogplan.2022.102095. Epub 2022 Apr 20.
COVID-19 pandemic has affected every country across different continents, be a developed or developing economy. The COVID-19 pandemic has led to a dramatic loss of human life worldwide and presents an unprecedented challenge to public health, food systems and the world of work. Conducting evaluation during COVID-19 pandemic was even more challenging as compared to the evaluation in conflict areas. Sudden lockdown and sustained restrictions was unexpected and affected the evaluators plan of actions for the ongoing as well as forthcoming evaluation activities. Not only primary data collection but secondary research also got hampered as access to knowledge resource centres/libraries stopped due to closure of these centres. As far as primary data collection is concerned, not only data collection exercise got stopped but even for those evaluations where data collection had been completed, the electronic data entry of filled-in survey schedules got stalled for a while. The paper discusses the critical components of evaluation, which gets affected during pandemic like situation such as use of participatory evaluation techniques; missing evidence based policy decisions; external and internal validity not ensured or ethical norms get compromised. To overcome such situations, the evaluation world should be ready with the suggested solutions such as, Use of Artificial Intelligence, computer-assisted interviews, capacity building of community members for participatory evaluation and making ethical review of evaluation protocols mandatory.
COVID-19 大流行已经影响到了不同大洲的每个国家,无论其经济发达还是发展中。COVID-19 大流行导致了全球范围内的生命急剧丧失,并对公共卫生、粮食系统和工作世界带来了前所未有的挑战。与在冲突地区的评估相比,COVID-19 大流行期间的评估更加具有挑战性。突然的封锁和持续的限制是意料之外的,影响了评估人员正在进行和即将进行的评估活动的行动计划。不仅主要数据收集受到阻碍,而且由于这些中心的关闭,知识资源中心/图书馆停止开放,二次研究也受到了阻碍。就主要数据收集而言,不仅数据收集工作停止了,而且对于那些已经完成数据收集的评估,填写的调查时间表的电子数据输入也停滞了一段时间。本文讨论了在大流行等情况下评估会受到影响的关键组成部分,例如使用参与式评估技术;缺乏基于证据的政策决策;无法确保外部和内部有效性或违反道德规范。为了克服这种情况,评估界应该准备好提出的解决方案,例如使用人工智能、计算机辅助访谈、为参与式评估培养社区成员的能力以及使评估协议的伦理审查成为强制性的。