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10 - Health Information

from Section II

Published online by Cambridge University Press:  04 September 2021

Jo. M. Martins
Affiliation:
International Medical University, Malaysia
Indra Pathmanathan
Affiliation:
United Nations University - International Institute for Global Health
David T. Tan
Affiliation:
United Nations Development Programme
Shiang Cheng Lim
Affiliation:
RTI International
Pascale Allotey
Affiliation:
United Nations University - International Institute for Global Health

Summary

Health information has been a major instrument in the assessment of health status in Malaysia, the planning and implementation of health services and the evaluation of health outcomes. Earlier, population censuses and estimates, plus the registration of births and deaths, were complemented by surveys of living conditions. Registration of notifiable diseases added to the assessment of the incidence of infectious diseases and progress made in their management; this was later extended to some non-communicable diseases. Health services research and household surveys have become regular features to support health intervention planning and possible changes. Registration of health professionals and inventories of health facilities give an indication of their availability. Initially, health financing information related mostly to the public sector. More recently, the compilation of national health accounts has given annual health expenditure estimates for both the public and private sectors. Progressively, information technology enhanced the collection, analysis and dissemination of health information and the provision of clinical services, such as in the case of telehealth.

Information

Figure 0

Figure 10.1 Reinforcing loop showing how compliance with data collection improves the quality of data, enabling positive impacts on health outcomes. When health system personnel are able to observe these impacts, the intrinsic motivation improves the level of compliance in data collection. Conversely, when this connection is not made, data collection can be perceived as a box-ticking exercise, compromising the quality of data collected.

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