An analytical intelligence model for the management of resources for the treatment of high-cost diseases: the case of HI
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An analytical intelligence model for the management of resources for the treatment of high-cost diseases: the case of HIV in Mexico Roma´n Rodrı´guez-Aguilar1
•
Gustavo Rivera-Pen˜a2
Ó Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract In the health sector, it is very important to have adequate control over the allocation of resources; this becomes much more relevant in the case of high-cost diseases, HIV is one example of this. The use of analytical intelligence allows the transformation of raw data into meaningful and useful information to make decisions. To support the management of resources in the health sector an analytical intelligence model based on survival analysis of patients under antiretroviral treatment in the Ministry of Health of Mexico is proposed. A survival model was carried out using a cohort of people with HIV under antiretroviral treatment attended by the Ministry of Health for the period 2007–2015. Sociodemographic variables, viral load, dates of treatment initiation and death were used. Kaplan–Meier method and the logarithmic rank test, as well as the Cox proportional-hazard model, were used. The proposed model can serve as a strategic information management tool for decision-making about the care and financing of high-cost diseases in the health sector. The results show that the probability of survival in people with HIV is higher for currently preferred treatments for treatment initiation and recently incorporated. Increasing the level of CD4 for the start of treatment generates greater probabilities of survival for patients. It is necessary to comprehensively evaluate the prescription and initiation of treatment policies according to CD4 levels to guarantee the financial sustainability of antiretroviral treatment in the Ministry of Health since these measures imply greater use of resources. It would be helpful to implement this type of analytical intelligence model for the monitoring and management of resources in the health sector. Keywords Analytical intelligence Survival analysis Kaplan–Meier Cox proportional-hazard model HIV
1 Introduction The application of analytical intelligence tools adds value to companies and governments using raw information for the generation of strategic information for decision making. There are multiple success stories where the application of analytical intelligence models has contributed to the
& Roma´n Rodrı´guez-Aguilar [email protected] Gustavo Rivera-Pen˜a [email protected] 1
Escuela de Ciencias Econo´micas y Empresariales, Universidad Panamericana, Augusto Rodin 498, 03920 Ciudad de Me´xico, Mexico
2
Faculty of Business and Economics, Universidad Anahuac Norte, Av. Universidad Anahuac 46, Lomas Anahuac, Naucalpan de Jua´rez, Mexico
improvement in the performance of companies and government institutions. The implementation of analytical intelligence models has shown satisfactory results in the transportation, banking, health care, retail, manufacturing, ph
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