First experiences in the implementation of biometric technology to link data from Health and Demographic Surveillance Systems with health facility data
- PMID: 20200659
- PMCID: PMC2830803
- DOI: 10.3402/gha.v3i0.2120
First experiences in the implementation of biometric technology to link data from Health and Demographic Surveillance Systems with health facility data
Abstract
Background: In developing countries, Health and Demographic Surveillance Systems (HDSSs) provide a framework for tracking demographic and health dynamics over time in a defined geographical area. Many HDSSs co-exist with facility-based data sources in the form of Health Management Information Systems (HMIS). Integrating both data sources through reliable record linkage could provide both numerator and denominator populations to estimate disease prevalence and incidence rates in the population and enable determination of accurate health service coverage.
Objective: To measure the acceptability and performance of fingerprint biometrics to identify individuals in demographic surveillance populations and those attending health care facilities serving the surveillance populations.
Methodology: Two HDSS sites used fingerprint biometrics for patient and/or surveillance population participant identification. The proportion of individuals for whom a fingerprint could be successfully enrolled were characterised in terms of age and sex.
Results: Adult (18-65 years) fingerprint enrolment rates varied between 94.1% (95% CI 93.6-94.5) for facility-based fingerprint data collection at the Africa Centre site to 96.7% (95% CI 95.9-97.6) for population-based fingerprint data collection at the Agincourt site. Fingerprint enrolment rates in children under 1 year old (Africa Centre site) were only 55.1% (95% CI 52.7-57.4). By age 5, child fingerprint enrolment rates were comparable to those of adults.
Conclusion: This work demonstrates the feasibility of fingerprint-based individual identification for population-based research in developing countries. Record linkage between demographic surveillance population databases and health care facility data based on biometric identification systems would allow for a more comprehensive evaluation of population health, including the ability to study health service utilisation from a population perspective, rather than the more restrictive health service perspective.
Keywords: Health and Demographic Surveillance Systems; INDEPTH Network; biometrics; fingerprint; record linkage.
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References
-
- INDEPTH Network. Population, health and survival at INDEPTH sites. Vol. 1. Ottawa: International Development Research Centre; 2002. Population and health in developing countries.
-
- Sankoh O, Binka F. INDEPTH Network: generating empirical population and health data in resource-constrained countries in the developing world. In: Becher H, Kouyaté B, editors. Health research in developing countries: a collaboration between Burkina Faso and Germany. Berlin: Springer; 2005. pp. 21–32.
-
- INDEPTH Network. Measuring health equity in small areas: findings from demographic surveillance systems. Aldershot, UK and Burlington, VT: Ashgate; 2005.
-
- Adazu K, Lindblade KA, Rosen DH, Odhiambo F, Ofware P, Kwach J, et al. Health and demographic surveillance in rural western Kenya: a platform for evaluating interventions to reduce morbidity and mortality from infectious diseases. Am J Trop Med Hyg. 2005;73:1151–8. - PubMed
-
- Tanser F, Gijsbertsen B, Herbst K. Modelling and understanding primary health care accessibility and utilization in rural South Africa: an exploration using a geographical information system. Soc Sci Med. 2006;63:691–705. - PubMed
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