Biometric Tracking, Healthcare Provision, and Data Quality: Experimental Evidence from Tuberculosis Control

Abstract

Developing countries increasingly use biometric identification technology in hopes of improving the reliability of administrative information and delivering social services more efficiently. This paper exploits the random placement of biometric tracking devices in tuberculosis treatment centers in urban slums across four Indian states to measure their effects both on disease control and on the quality of health records. The devices record health worker attendance and patient adherence to treatment, and they automatically generate prompts to follow up with patients who miss doses. Combining data from patient and health worker surveys, independent field visits, and government registers, we first find that patients enrolled at biometric-equipped centers are 25 percent less likely to interrupt treatment—an improvement driven by increased attendance and efforts by health workers and greater treatment adherence by patients. Second, biometric tracking decreases data forgery: it reduces overreporting of patient numbers in both NGO data and government registers and underreporting of treatment interruptions. Third, the impact of biometric tracking is sustained over time and it decreases neither health worker satisfaction nor patient satisfaction. Overall, our results suggest biometric tracking technology is both an effective and sustainable way to improve the state's capacity to deliver healthcare in challenging areas. Institutional subscribers to the NBER working paper series, and residents of developing countries may download this paper without additional charge at www.nber.org.