Application of a data continuity prediction algorithm to an electronic health record-based pharmacoepidemiology study Journal Article
| Authors: | Flory, J. H.; Zhang, Y.; Banerjee, S.; Wang, F.; Min, J. Y.; Mushlin, A. I. |
| Article Title: | Application of a data continuity prediction algorithm to an electronic health record-based pharmacoepidemiology study |
| Abstract: | Background and Objectives: Use of algorithms to identify patients with high data-continuity in electronic health records (EHRs) may increase study validity. Practical experience with this approach remains limited. Methods: We developed and validated four algorithms to identify patients with high data continuity in an EHR-based data source. Selected algorithms were then applied to a pharmacoepidemiologic study comparing rates of COVID-19 hospitalization in patients exposed to insulin versus noninsulin antidiabetic drugs. Results: A model using a short list of five EHR-derived variables performed as well as more complex models to distinguish high- from low-data continuity patients. Higher data continuity was associated with more accurate ascertainment of key variables. In the pharmacoepidemiologic study, patients with higher data continuity had higher observed rates of the COVID-19 outcome and a large unadjusted association between insulin use and the outcome, but no association after propensity score adjustment. Discussion: We found that a simple, portable algorithm to predict data continuity gave comparable performance to more complex methods. Use of the algorithm significantly impacted the results of an empirical study, with evidence of more valid results at higher levels of data continuity. © 2024 John Wiley & Sons Ltd. |
| Keywords: | adult; aged; middle aged; major clinical study; area under the curve; hypertension; outcome assessment; follow up; sensitivity and specificity; prostate specific antigen; cohort analysis; obesity; creatinine; algorithms; health care utilization; hospitalization; mammography; algorithm; diabetes mellitus; insulin; antidiabetic agent; heart arrhythmia; hypothyroidism; epidemiology; beta adrenergic receptor blocking agent; calcium channel blocking agent; metformin; diuretic agent; diabetes; predictive value; disease transmission; diagnostic test accuracy study; electronic health records; procedures; hemoglobin a1c; propensity score; pharmacoepidemiology; 2,4 thiazolidinedione derivative; sulfonylurea; hypoglycemic agents; missing data; humans; human; male; female; article; electronic health record; meglitinide; alpha glucosidase inhibitor; dipeptidyl peptidase iv inhibitor; sodium glucose cotransporter 2 inhibitor; icd-10; severe acute respiratory syndrome coronavirus 2; coronavirus disease 2019; covid-19; sars-cov-2; linagliptin; drug utilization review; antidiabetic drugs; data continuity; alogliptin; beta 2 adrenergic receptor blocking agent |
| Journal Title: | Journal of Evaluation in Clinical Practice |
| Volume: | 30 |
| Issue: | 4 |
| ISSN: | 1356-1294 |
| Publisher: | John Wiley & Sons |
| Date Published: | 2024-06-01 |
| Start Page: | 716 |
| End Page: | 725 |
| Language: | English |
| DOI: | 10.1111/jep.14002 |
| PUBMED: | 38696462 |
| PROVIDER: | scopus |
| DOI/URL: | |
| Notes: | Article -- MSK Cancer Center Support Grant (P30 CA008748) acknowledged in PDF -- MSK corresponding author is James Flory -- Source: Scopus |
