Modeling (Multi-)Morbidity and (Poly-)Pharmacy in Outpatient Treatment with Gamma Distributions

Reinhard Schuster; Thomas Ostermann; Timo Emcke

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Paper

Modeling (Multi-)Morbidity and (Poly-)Pharmacy in Outpatient Treatment with Gamma Distributions

Topics: Big Data in Healthcare

In Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: BIOSTEC, 353-358, 2019 , Prague, Czech Republic

Authors: Reinhard Schuster ¹ ; Thomas Ostermann ² and Timo Emcke ³

Affiliations: ¹ Chair of Department of Health Economics, Epidemiology and Medical Informatics, Medical Advisory Board of Statutory Health Insurance in Northern Germany, Katharinenstraße 11, 23554 Lübeck and Germany ; ² Chair of Research Methodology and Statistics in Psychology, Witten/Herdecke University, Alfred-Herrhausen-Straße 50, 58448 Witten and Germany ; ³ Chair of Department of Prescription Analysis, Association of Statutory Health Insurance Physicians, Bismarckallee 1-6, 23812 Bad Segeberg and Germany

Keyword(s): Multimorbidity, Polypharmacy, Outpatient Treatment, Big Data, Gamma Distribution, Shannon Entropy.

Abstract: Polypharmacy is often direcly causes by age and gender dependent multimorbidity. Todays treatment concepts, the individual decisions taken by physicians and the administration have to adress the complex needs of multimorbid patients. For modeling those phenomena on a collective level of an entire federal state a sufficiently large data repository is essential. The administrative bodies of the statutory health insurance in Germany have the data necessary and built up an extensive skill-set and inexpensive free-software tool-set for those evaluations. This study analyses the complete patient data of all outpatient treatments and drug prescriptions in Schleswig-Holstein (Northern German federal state) in the first quarter of 2017. Well adopted probability distributions for the frequency of diseases and drug groups decreasingly ordered within the classification system for all patients and age/gender partitions are estimated. Subsequently the levels of multimorbidity and polypharmacy (lev el of ICD-10/ATC-codes per quarter) are analysed in the same way. As a main result gamma distributions provide a well-adjusted model class for ICD and ATC code frequencies in the present very large routine dataset. The goodness-of-fit (full range of magnitudes of measurements) is much better than using mean values and variances. (More)

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Paper citation in several formats:

Schuster, R.; Ostermann, T. and Emcke, T. (2019). Modeling (Multi-)Morbidity and (Poly-)Pharmacy in Outpatient Treatment with Gamma Distributions. In Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - HEALTHINF; ISBN 978-989-758-353-7; ISSN 2184-4305, SciTePress, pages 353-358. DOI: 10.5220/0007396503530358

@conference{healthinf19,
author={Reinhard Schuster. and Thomas Ostermann. and Timo Emcke.},
title={Modeling (Multi-)Morbidity and (Poly-)Pharmacy in Outpatient Treatment with Gamma Distributions},
booktitle={Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - HEALTHINF},
year={2019},
pages={353-358},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007396503530358},
isbn={978-989-758-353-7},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - HEALTHINF
TI - Modeling (Multi-)Morbidity and (Poly-)Pharmacy in Outpatient Treatment with Gamma Distributions
SN - 978-989-758-353-7
IS - 2184-4305
AU - Schuster, R.
AU - Ostermann, T.
AU - Emcke, T.
PY - 2019
SP - 353
EP - 358
DO - 10.5220/0007396503530358
PB - SciTePress