Assessing costs of developing a digital program for training community health workers to deliver treatment for depression: A case study in rural India.
Assessing costs of developing a digital program for training community health workers to deliver treatment for depression: A case study in rural India.
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DOI：
10.1016/j.psychres.2021.114299
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发表时间：
2022-01
影响因子：
11.3
通讯作者：
Lu C
中科院分区：
文献类型：
--
作者：
Joshi U;Naslund JA;Anand A;Tugnawat D;Vishwakarma R;Bhan A;Patel V;Lu C
数字技术已成为低收入和中等收入国家社区卫生工作者培训和能力建设的一种有前途的方法。关于在中低收入国家开发数字培训计划的成本知之甚少，这阻碍了在常规初级保健环境中采用，实施和扩大计划。这项研究评估了在印度中央邦的一个农村地区开发一个数字项目的成本，该项目用于培训社区卫生工作者，为抑郁症提供心理治疗。我们开发了调查工具来记录开发中所需的资源，包括涉及的人员（他们的角色、责任、花费的时间和工资或报酬）、信息技术（例如，智能手机、软件程序），以及基础设施相关的成本（例如，车辆、办公场所、公用事业）。成本是从会计角度估算的。在10个月的开发期内，总成本为208，814美元，其中最大的部分用于人力资源（61%，14%用于管理和监督），其次是信息技术（33%）和基础设施相关成本（6%）。这些发现可以让中低收入国家的政策制定者了解开发在线培训项目的成本，这在COVID-19大流行期间尤其有用。
Digital technology has emerged as a promising approach for training and building capacity of community health workers in low-income and middle-income countries (LMICs). Little is known about the cost of developing digital training programs in LMICs, which hinders the adoption, implementation, and scaling up of the programs in routine primary care settings. This study assessed the costs of developing a digital program for training community health workers to deliver a psychological treatment for depression in a rural district of Madhya Pradesh, India. We developed survey instruments to document required resources in development, including involved personnel (their roles, responsibilities, time spent, and salaries or payments), information technologies (e.g., smartphones, software programs), and infrastructure-related costs (e.g., vehicle, office space, utilities). Costs were estimated from an accounting perspective. Over a 10-month developmental period, the total costs were 208,814 USD, with the largest portion on human resources (61%, with 14% on management and supervision), followed by information technologies (33%), and infrastructure-related costs (6%). These findings could inform policymakers in LMICs on costs of developing online-training programs, which will be especially useful during the COVID-19 pandemic.
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影响因子：
2.8
作者：
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