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Modeling Technology Transfer in Health Information Systems: Learning From the Experience of Chad

Published online by Cambridge University Press:  10 March 2009

Anne-Marie Foltz
Affiliation:
Tulane School of Public Health and Tropical Medicine

Abstract

Health information systems are complex combinations of methods of organization and computer technologies. They are idiosyncratic to each country. Chad’s design of a national information system followed a process that can serve as a model for sustainable technology transfer—using consensual decision making and reinforcing administrative reforms while providing strong Ministry leadership and using technical assistance.

Type
Special Section: Industry and the Generation of Technology, Part II
Copyright
Copyright © Cambridge University Press 1993

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References

REFERENCES

1.Ad Hoc Panel on the Use of Microcomputers for Developing Countries. Microcomputers and their applications for developing countries. Boulder, CO: Westview Press, 1986.Google Scholar
2.Alderman, H., Mergos, G., & Slade, R.Cooperatives and the commercialization of milk production in India. Washington, DC: International Food Policy Research Institute, 1987.Google Scholar
3.Auxilla, P., & Rohde, J. Microcomputers as a means to introduce effective management procedures in primary health care: The Haiti experience. In Wilson, R. G., Bryant, J. H., Echols, B. E., and Abrantes, A. (eds.), Management information systems and microcomputers in primary health care. Geneva: Aga Khan Foundation, 1988, 5358.Google Scholar
4.Bonair, A., Rosenfield, P., & Tengvald, K.Medical technologies in developing countries: Issues of technology development, transfer, diffusion and use. Social Science and Medicine, 1989, 28, 769–81.CrossRefGoogle ScholarPubMed
5.Brodman, J. Z. Key management factors determining the impact of microcomputers on decision-making in the governments of developing countries. In Ruth, S. R. & Mann, C. K. (eds.), Microcomputers in public policy: Applications for developing countries, Boulder, CO: Westview Press, 1987, 117-42.Google Scholar
6.Cutts, F. T.The use of WHO cluster survey method for evaluating the impact of the expanded programme on immunization on target disease incidence. Journal of Tropical Medicine and Hygiene, 1988, 91, 231–39.Google ScholarPubMed
7. Editorial: Numbers not worth crunching. The Economist, 07 28, 1990, 1516.Google Scholar
8.Foltz, A.-M. A comprehensive integrated information system as a tool for health planners: Lessons from the Chad experience. Presented at the National Council for International Health Meeting, Arlington, VA, 06 19, 1990.Google Scholar
9.Foltz, A.-M., & Foltz, W. J. The politics of health reform in Chad. In Perkins, D. H. & Roemer, M. (eds.), Reforming economic systems in developing countries. Cambridge, MA: Harvard Institute for International Development, 1991, 137–57.Google Scholar
10.Foltz, A.-M., Henn, A., Combs, S., & Lippeveld, T. Planning without resources: Health information in Chad. Presented at the African Studies Association, 11 1986.Google Scholar
11.Gable, C. B.A compendium of public health data sources. American Journal of Epidemiology, 1990, 131, 381–94.CrossRefGoogle ScholarPubMed
12.Harvard Institute for International Development. Chad Health Planning Restoration Project. Final Report. Cambridge, MA, 03 31, 1988.Google Scholar
13.Kaluzny, A. D., et al. Innovation in health care organizations: An issue in organizational change. Chapel Hill, NC, 1974.Google Scholar
14.Kars-Marshall, C., Spronk-Boon, Y. W., & Pollemans, M. C.National health interview surveys for health care policy. Social Science and Medicine, 1988, 26, 223–33.CrossRefGoogle ScholarPubMed
15.Kok, P. W.Cluster sampling for immunization coverage. Social Science and Medicine, 1986, 22, 781–83.CrossRefGoogle ScholarPubMed
16.Ministry of Public Health, Government of Chad. Annuaire de Statistiques Sanitaires du Tchad, Année 1988. N’Djamena, 1989.Google Scholar
17.Mohr, L. B.Determinants of innovation in organizations. American Political Science Review, 1969, 63, 111–26.CrossRefGoogle Scholar
18.Mutombo, N. B. Systèmes d'information pour la gestion des programmes sanitaires nationaux, in Bureau Régional pour l'Afrique, Documents de Travail et rapports finals des discussions techniques des 30e, 31e, et 32e sessions du comité régional de I'OMS pour l'Afrique. Cahiers Techniques AFRO, No. 19. Geneva: World Health Organization, 1984, 728.Google Scholar
19.Nabarro, D., Annett, H., Graham-Jones, S., & Nabeta, E. Microcomputers in developing country programmes: Valuable tools or troublesome toys? Experience from Uganda and Nepal. In Wilson, R. G., Bryant, J. H., Echols, B. E., & Abrantes, A. (eds), Management information systems and microcomputers in primary health care, Geneva: Aga Khan Foundation, 1988, 4152.Google Scholar
20.Ng’weno, A.Opinion: Computers and advanced technology: Boon or booby-trap? African Technology Forum, 1991, 4, 45.Google Scholar
21.Rogers, E. M.Diffusion of innovations. New York: The Free Press, 1983.Google Scholar
22.Russell, L. B.Technology in hospitals: Medical advances and their diffusion. Washington, DC: Brookings Institution, 1979.CrossRefGoogle Scholar
23.Strassman, P.Business value of computers. New Canaan, CT: Economic Information Press, 1990.Google Scholar
24.Unger, J.-P. Evaluation du système national d’information du secteur santé. Report of Mission to Chad, June 27–July 11, 1989. Institute of Tropical Medicine, Anvers, Belgium.Google Scholar
25.World Health Organization. Elaboration d’indicateurs pour la surveillance continue des progrès réalisés dans la voie de la santé pour tous d’ici l’an 2000. Geneva: World Health Organization, 1981.Google Scholar