Authors
Amna Batool, Kentaro Toyama, Tiffany Veinot, Beenish Fatima, Mustafa Naseem
Publication date
2021/5/6
Book
Proceedings of the 2021 chi conference on human factors in computing systems
Pages
1-14
Description
Front-line workers in global development are often responsible for data collection and record-keeping about their own work. The authenticity of such data and the role of mid-level supervisors, however, remains understudied. We report on the case of immunization in Pakistan, where, through interviews with 30 mid-level vaccination managers in Punjab district, we find that data falsification by vaccinators is common, though not necessarily rampant. Because of an intricate protocol for record-keeping, supervisors can detect data falsification, and we find they have devised an array of methods, broadly classifiable into four types: triangulation, supplementary data collection, anomaly detection, and interrogation. We also find that the strategies that supervisors use to detect falsification seem linked to their style of management, with authoritarian supervisors preferring supplementary data collection and spot checks, while …
Total citations
2021202220232024131
Scholar articles
A Batool, K Toyama, T Veinot, B Fatima, M Naseem - Proceedings of the 2021 chi conference on human …, 2021