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Detecting unexpected growths in health technologies expenditures

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dc.creatorEspinosa, Oscarspa
dc.creatorBejarano, Valeriaspa
dc.creatorSanabria, Cristianspa
dc.creatorRodríguez, Jhonathanspa
dc.creatorBasto, Sergiospa
dc.creatorRodríguez Lesmes, Paulspa
dc.creatorRobayo, Adrianaspa
dc.date.accessioned2024-01-31T18:23:46Z
dc.date.available2024-01-31T18:23:46Z
dc.date.created2023-12-01spa
dc.date.issued2023spa
dc.descriptionWe 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 frst 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 atypi?cal behavior and signifcant monetary growth could be linked to the use of recently introduced drugs in the market. These drugs have valid patents and very specifc clinical indications, often involving high-cost pharmacological treat?ments. The most relevant case is the Burosumab, approved in 2018 to treat a rare genetic disorder afecting skeletal growth. Secondly, there is clear evidence of anomalous increasing trend evolutions in the identifed 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.spa
dc.format.mimetypeapplication/pdfspa
dc.identifier.doihttp://doi.org/10.1186/s12913-023-10155-wspa
dc.identifier.issn1472-6963spa
dc.identifier.urihttps://repository.urosario.edu.co/handle/10336/42110
dc.language.isoengspa
dc.publisherUniversidad del Rosariospa
dc.relation.urihttps://bmchealthservres.biomedcentral.com/articles/10.1186/s12913-023-10155-wspa
dc.rightsAttribution-NonCommercial-ShareAlike 4.0 Internationalspa
dc.rights.accesRightsinfo:eu-repo/semantics/openAccessspa
dc.rights.accesoAbierto (Texto Completo)spa
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/spa
dc.sourceBMC Health Services Researchspa
dc.source.instnameinstname:Universidad del Rosariospa
dc.source.reponamereponame:Repositorio Institucional EdocURspa
dc.subjectHealth technologiesspa
dc.subjectHealth expendituresspa
dc.subjectHigh-cost technologyspa
dc.subjectEnteral nutritionalspa
dc.subjectStatistical data analysisspa
dc.subjectData analyticsspa
dc.titleDetecting unexpected growths in health technologies expendituresspa
dc.typearticlespa
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersionspa
dc.type.spaArtículospa
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