Exploration of Health Disparities in Colombian Health System through Health Information System –SISPRO-.
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Abstract
Background: In 2003 the Ministry of Health in Colombia created the Social Protection Information System SISPRO-. It was an initiative to provide the necessary information into Health System to promote informed health decisions. SISPRO works as a data warehouse, but it is, in reality, a decision tool. Most data are connected and available online, but the decision makers can’t use them. In part, due to technical issues such as interoperability, but mostly because political interests don’t facilitate its use. This opportunity to use data contained in SISPRO, enable us to find health disparities, and due to the quantity and variety of data, explain these disparities in terms of whether they are avoidable and if they presented systematically in specific groups (women, ethnic groups, regions, etc); that is, in terms of whether these differences, in fact, are health inequalities. This is the opportunity to use these data, not only to identify and explain health inequalities but also to strengthen Governance in the Colombian Health system. Governance in this context means the collective action process in which all the stakeholders interact to make decisions and formulate policies. This is why this health information system –SISPRO- is the best tool available to explore health inequities in our health system and we are working with the Ministry of Health in Colombia to use it.
Objective: Make visible and explain priority health inequialities in Colombia health system, through health and socio-economic attributes stored in SISPRO, to enable policy making with equity approach.
Methods: Case study of SISPRO as the main topic of interest and health equity as a theorical reference. We are applying participatory methods, and mixing qualitative and quantitative techniques in a challenging Political, technical, Statistical and Equity related.
Results: Research in Progress. Aware of the complexity of the Colombian health system, the project hopes to impact priority events for their scientific and social relevance. Thus, we expect to generate theoretical, empirical and pragmatical evidence that government can use to impact priority social issues with a focus on health equity. We are making recommendations for the governance of the health system based on the exploration, identification, visibility, modeling and explanation of socioeconomic inequalities in health events. And with the Engineers of SISPRO we are building and recommending an integral management process of SISPRO data in order to make it suitable for the visualization and explanation of health inequities.
Conclusions: Research in Progress. Health information systems are ultimately human, social and historical constructs, they are not machines, software, and procedures. They can’t be understood as artifacts disconnected from the health system reality. Systems are parts of that reality. It is the very nature of the system, the dynamic between entropy and negentropy and this is true also for technological systems.
Objective: Make visible and explain priority health inequialities in Colombia health system, through health and socio-economic attributes stored in SISPRO, to enable policy making with equity approach.
Methods: Case study of SISPRO as the main topic of interest and health equity as a theorical reference. We are applying participatory methods, and mixing qualitative and quantitative techniques in a challenging Political, technical, Statistical and Equity related.
Results: Research in Progress. Aware of the complexity of the Colombian health system, the project hopes to impact priority events for their scientific and social relevance. Thus, we expect to generate theoretical, empirical and pragmatical evidence that government can use to impact priority social issues with a focus on health equity. We are making recommendations for the governance of the health system based on the exploration, identification, visibility, modeling and explanation of socioeconomic inequalities in health events. And with the Engineers of SISPRO we are building and recommending an integral management process of SISPRO data in order to make it suitable for the visualization and explanation of health inequities.
Conclusions: Research in Progress. Health information systems are ultimately human, social and historical constructs, they are not machines, software, and procedures. They can’t be understood as artifacts disconnected from the health system reality. Systems are parts of that reality. It is the very nature of the system, the dynamic between entropy and negentropy and this is true also for technological systems.
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