Assessing real-world medication data completeness
| Autor: | Jack W. London, Laura A. Evans, Matvey B. Palchuk |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Heart Failure
0303 health sciences medicine.medical_specialty business.industry Incidence (epidemiology) Health Informatics Disease medicine.disease Proxy (climate) Computer Science Applications 03 medical and health sciences 0302 clinical medicine Completeness (order theory) Data quality Health care medicine Humans Insulin 030212 general & internal medicine Medical diagnosis Intensive care medicine business 030304 developmental biology Asthma |
| Zdroj: | Journal of Biomedical Informatics. 119:103847 |
| ISSN: | 1532-0464 |
| DOI: | 10.1016/j.jbi.2021.103847 |
| Popis: | Objective Analysis of healthcare Real-World Data (RWD) provides an opportunity to observe actual patient diagnostic, treatment and outcomes events. However, researchers should understand the possible limitations of RWD. In particular, these data may be incomplete, which would affect the validity of study conclusions. Materials and methods The completeness of medication RWD was investigated by analyzing the incidence of various diagnosis-medication couplets: the occurrence of a certain medication in the RWD for a patient having a certain diagnosis. Diagnosis and medication data were obtained from 61 U.S. medical data provider organizations, members of the TriNetX global research network. The number of patients having 22 diagnoses and expected medications were obtained at each institution, and the percent completion of each diagnosis-medication couplet calculated. The study hypothesis is that the degree of couplet completeness can serve as a proxy for overall completeness of medication data for a given organization. Results Five diagnosis-medication couplets were found to be reliable proxies, having at least a peak 87% observed completeness for the organizations studied: Type 1 diabetes mellitus and insulin; asthma and albuterol; congestive heart failure and diuretics; cardiovascular disease and aspirin; hypothyroidism and levothyroxine. Discussion These couplets were validated as reliable indicators by determining their status as standards of care. The degree to which patients with these five diagnoses had the specified associated medication was consistent within an organization data set. Conclusion The overall degree of medication data completeness for an organization can be assessed by measuring the completeness of certain indicator diagnosis-medication couplets. |
| Databáze: | OpenAIRE |
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