Detecting unexpected growths in health technologies expenditures: the case of MIPRES in Colombia
We developed an algorithm to explore unexpected growth in the usage and costs of health technologies. We exploit data from the expenditures on technologies funded by the Colombian government under the compulsory insurance system, where all prescriptions for technologies not included in an explicit l...
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Published in: | BMC health services research Vol. 23; no. 1; pp. 1 - 1153 |
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Abstract | We developed an algorithm to explore unexpected growth in the usage and costs of health technologies. We exploit data from the expenditures on technologies funded by the Colombian government under the compulsory insurance system, where all prescriptions for technologies not included in an explicit list must be registered in a centralized information system, covering the period from 2017 to 2022. The algorithm consists of two steps: an outlier detection method based on the density of the expenditures for selecting a first set of technologies to consider (39 technologies out of 106,957), and two anomaly detection models for time series to determine which insurance companies, health providers, and regions have the most notorious increases. We have found that most medicines associated with atypical behavior and significant monetary growth could be linked to the use of recently introduced drugs in the market. These drugs have valid patents and very specific clinical indications, often involving high-cost pharmacological treatments. The most relevant case is the Burosumab, approved in 2018 to treat a rare genetic disorder affecting skeletal growth. Secondly, there is clear evidence of anomalous increasing trend evolutions in the identified enteral nutritional support supplements or Food for Special Medical Purposes. The health system did not purchase these products before July 2021, but in 2022 they represented more than 500,000 USD per month. |
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AbstractList | We developed an algorithm to explore unexpected growth in the usage and costs of health technologies. We exploit data from the expenditures on technologies funded by the Colombian government under the compulsory insurance system, where all prescriptions for technologies not included in an explicit list must be registered in a centralized information system, covering the period from 2017 to 2022. The algorithm consists of two steps: an outlier detection method based on the density of the expenditures for selecting a first set of technologies to consider (39 technologies out of 106,957), and two anomaly detection models for time series to determine which insurance companies, health providers, and regions have the most notorious increases. We have found that most medicines associated with atypical behavior and significant monetary growth could be linked to the use of recently introduced drugs in the market. These drugs have valid patents and very specific clinical indications, often involving high-cost pharmacological treatments. The most relevant case is the Burosumab, approved in 2018 to treat a rare genetic disorder affecting skeletal growth. Secondly, there is clear evidence of anomalous increasing trend evolutions in the identified enteral nutritional support supplements or Food for Special Medical Purposes. The health system did not purchase these products before July 2021, but in 2022 they represented more than 500,000 USD per month. Keywords: Health technologies, Health expenditures, High-cost technology, Enteral nutritional, Statistical data analysis, Data analytics We developed an algorithm to explore unexpected growth in the usage and costs of health technologies. We exploit data from the expenditures on technologies funded by the Colombian government under the compulsory insurance system, where all prescriptions for technologies not included in an explicit list must be registered in a centralized information system, covering the period from 2017 to 2022. The algorithm consists of two steps: an outlier detection method based on the density of the expenditures for selecting a first set of technologies to consider (39 technologies out of 106,957), and two anomaly detection models for time series to determine which insurance companies, health providers, and regions have the most notorious increases. We have found that most medicines associated with atypical behavior and significant monetary growth could be linked to the use of recently introduced drugs in the market. These drugs have valid patents and very specific clinical indications, often involving high-cost pharmacological treatments. The most relevant case is the Burosumab, approved in 2018 to treat a rare genetic disorder affecting skeletal growth. Secondly, there is clear evidence of anomalous increasing trend evolutions in the identified enteral nutritional support supplements or Food for Special Medical Purposes. The health system did not purchase these products before July 2021, but in 2022 they represented more than 500,000 USD per month. Abstract We developed an algorithm to explore unexpected growth in the usage and costs of health technologies. We exploit data from the expenditures on technologies funded by the Colombian government under the compulsory insurance system, where all prescriptions for technologies not included in an explicit list must be registered in a centralized information system, covering the period from 2017 to 2022. The algorithm consists of two steps: an outlier detection method based on the density of the expenditures for selecting a first set of technologies to consider (39 technologies out of 106,957), and two anomaly detection models for time series to determine which insurance companies, health providers, and regions have the most notorious increases. We have found that most medicines associated with atypical behavior and significant monetary growth could be linked to the use of recently introduced drugs in the market. These drugs have valid patents and very specific clinical indications, often involving high-cost pharmacological treatments. The most relevant case is the Burosumab, approved in 2018 to treat a rare genetic disorder affecting skeletal growth. Secondly, there is clear evidence of anomalous increasing trend evolutions in the identified enteral nutritional support supplements or Food for Special Medical Purposes. The health system did not purchase these products before July 2021, but in 2022 they represented more than 500,000 USD per month. |
ArticleNumber | 1153 |
Audience | Academic |
Author | Bejarano, Valeria Sanabria, Cristian Rodríguez-Lesmes, Paul Robayo, Adriana Basto, Sergio Espinosa, Oscar Rodríguez, Jhonathan |
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Cites_doi | 10.5600/mmrr.003.02.sa03 10.1109/ICCMC51019.2021.9418038 10.1093/heapol/czt105 10.1109/TCYB.2021.3054161 10.1016/j.healthpol.2022.03.003 10.5753/sbrc.2018.2422 10.1109/BIBM.2007.54 10.1136/bmj.l4627 10.2147/RMHP.S12985 10.7326/0003-4819-144-10-200605160-00125 10.1016/j.patcog.2014.07.028 10.1377/hlthaff.2011.0178 10.1287/mnsc.2017.2750 10.1016/j.ifacsc.2021.100170 10.18235/0004185 10.1146/annurev-publhealth-040218-044206 |
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Snippet | We developed an algorithm to explore unexpected growth in the usage and costs of health technologies. We exploit data from the expenditures on technologies... Abstract We developed an algorithm to explore unexpected growth in the usage and costs of health technologies. We exploit data from the expenditures on... |
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SubjectTerms | Algorithms Cost benefit analysis Costs Data analytics Datasets Economic aspects Enteral nutritional Evaluation Expenditures Health care industry Health expenditures Health technologies High-cost technology Information management Information systems Innovations Managed competition Medical economics Medical equipment Medical informatics Medical technology Monoclonal antibodies Nutrition Statistical data analysis Technology Time series |
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Title | Detecting unexpected growths in health technologies expenditures: the case of MIPRES in Colombia |
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