A Fair Incentive Scheme for Community Health Workers

Avinandan Bose, Tracey Li, Arunesh Sinha, Tien Mai
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Abstract

Community health workers (CHWs) play a crucial role in the last mile delivery of essential health services to underserved populations in low-income countries. Many nongovernmental organizations (NGOs) provide training and support to enable CHWs to deliver health services to their communities, with no charge to the recipients of the services. This includes monetary compensation for the work that CHWs perform, which is broken down into a series of well defined tasks. In this work, we partner with a NGO D-Tree International to design a fair monetary compensation scheme for tasks performed by CHWs in the semi-autonomous region of Zanzibar in Tanzania, Africa. In consultation with stakeholders, we interpret fairness as the equal opportunity to earn, which means that each CHW has the opportunity to earn roughly the same total payment over a given T month period, if the CHW reacts to the incentive scheme almost rationally. We model this problem as a reward design problem for a Markov Decision Process (MDP) formulation for the CHWs’ earning. There is a need for the mechanism to be simple so that it is understood by the CHWs, thus, we explore linear and piecewise linear rewards in the CHWs’ measured units of work. We solve this design problem via a novel policy-reward gradient result. Our experiments using two real world parameters from the ground provide evidence of reasonable incentive output by our scheme.
社区卫生工作者公平奖励计划
社区卫生工作者在向低收入国家服务不足人群提供最后一英里基本卫生服务方面发挥着关键作用。许多非政府组织(ngo)提供培训和支持,使保健员能够向他们的社区提供保健服务,而不向接受服务的人收费。这包括对chw所做工作的金钱补偿,这些工作被分解为一系列明确定义的任务。在这项工作中,我们与非政府组织D-TreeInternational合作,为非洲坦桑尼亚桑给巴尔半自治地区的卫生工作者设计了一个公平的货币补偿方案。在与利益相关者协商后,我们将公平解释为平等的赚钱机会,这意味着每个CHW都有机会在给定的T个月内获得大致相同的总报酬,如果CHW对激励计划的反应几乎是理性的。我们将这一问题建模为一个针对医疗保健人员学习的马尔可夫决策过程(MDP)公式的奖励设计问题。有必要简化机制,以便chw能够理解,因此,我们在chw的测量工作单位中探索线性和分段线性奖励。我们通过一个新的策略-奖励梯度结果解决了这个设计问题。我们的实验使用了两个来自地面的真实世界参数,证明了我们的方案具有合理的激励输出。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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