E-Monitoring and Organizational Performance: Evidence from the National Community Health Program in Sierra Leone
| Researchers: |
Eric Deserranno, Andrea Guariso and Gianmarco Leon-Ciliotta |
| Partners: |
Ministry of Health and Sanitation, CHAF |
| Location: |
Sierra Leone |
| Sample: |
About 9,000 households and 1,000 health workers located across 140 Primary Healthcare Units across two districts in Sierra Leone |
| Timeline: | 2023–2025 |
| Theme: | Health, Technology |
| Description: |
Digital technologies have advanced more rapidly than any other innovation in history. The gains from technology are however very heterogeneous across sectors and firms. This proposal aims to study: (i) the ways governments can leverage new e-monitoring technologies to improve the supply of public services, and (ii) whether gains from these technologies depend on the “verticality” of the organization (the ratio of supervisors to workers). Technology might substitute in-person supervision, but might also complement supervisors’ activities, by allowing them to reallocate time towards more complex and productive activities, e.g., customized training and advising. This may in turn affect the optimal verticality of the organization and public service delivery. In collaboration with the Ministry of Health of Sierra Leone, we plan to run an experiment across four districts of the country, cross-randomizing the introduction of a new e-monitoring app to be installed on the frontline health workers’ phones, with variation in the local share of supervisors to workers.
In order to fully understand the effects of the technology, we will therefore examine both workers’ and supervisors’ behavior as well as the quantity and quality of public service delivery. While previous research focused on the performance of frontline workers, to the best of our knowledge no causal evidence exists regarding the influence of technology on supervisors and the interplay between digital technologies and organizational structure. The only existing evidence is theoretical or correlational and focuses on the private sector. We aim to fill these gaps by leveraging random rollout of e-monitoring technologies and by experimentally manipulating the share of supervisors to workers across PHUs. |