[The conceptual framework for decision making data elements in public health].
OBJECTIVE
To develop a conceptual framework for decision-making data elements (indicator) in public health through determining its dimensions, sub-dimensions and their interrelationships.


METHODS
On the basis of literatures review, conceptual analysis and health determinant models, a conceptual framework was set up. This framework construction followed five principles: evidence-based, applicable, public health relevant, systemic and extensible. While, with the principles of conceptualization, objective-orientation, independence, and number-restriction, the domain and subdomains were also developed.


RESULTS
A conceptual framework consisting of five domains and 20 sub-domains was developed. The 5 domains were health status, non-medical health determinants, public health system performance, the resources of public health system, and characteristics of community and assurance system. The health outcome included three subdomains of health status, functional status, and death; Non-medicine health determinants domain consisted of health behavior, working and living conditions, personal resources and environmental factors; performance domain was made up of effectiveness, accessibility, efficiency, responsibility and safety; resources domain had institution resources, human resources, financial resources, equipment resources and information resources; The characteristics of community and assurance system domain was the last domain which comprises characteristics of community, public health related policy and assurance system. The complicated relationship between these domains was also described.


CONCLUSIONS
As the abstraction of public health system, this conceptual framework comprehensively depicts the components of public health system and complicated process of public health system. This framework conforms to the medical care quality model which is made up of structure, process, intermediate results and outcomes.
Wang
Hai-jun
HJ
National Center for Public Health Surveillance and Information Service, Chinese Center of Disease Control and Prevention, Beijing, China.
Jin
Shui-gao
SG
Liu
Li-hua
LH
D003660:Decision Support Systems, Management; D040442:Public Health Informatics / Q000706:statistics & numerical data*; D011785:Quality Assurance, Health Care