Detecting pregnancy use of non-hormonal category X medications in electronic medical records
| Autor: | Peter F. Cronholm, Eric A. Pifer, Joshua Jones, Warren B. Bilker, Brian L. Strom, Charles E. Leonard, Mark G. Weiner, Rita Schinnar, Sean Hennessy |
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| Jazyk: | angličtina |
| Rok vydání: | 2011 |
| Předmět: |
Pregnancy test
Pediatrics medicine.medical_specialty Non hormonal Pregnancy Tests Psychological intervention Health Informatics Inappropriate Prescribing Research and Applications Medical Order Entry Systems Computerized physician order entry Pregnancy Off the shelf Medicine Electronic Health Records Humans Prescribed medications business.industry Medical record medicine.disease Pregnancy Complications Teratogens Maternal Exposure Female business Algorithms |
| Popis: | Objectives To determine whether a rule-based algorithm applied to an outpatient electronic medical record (EMR) can identify patients who are pregnant and prescribed medications proved to cause birth defects. Design A descriptive study using the University of Pennsylvania Health System outpatient EMR to simulate a prospective algorithm to identify exposures during pregnancy to category X medications, soon enough to intervene and potentially prevent the exposure. A subsequent post-hoc algorithm was also tested, working backwards from pregnancy endpoints, to search for possible exposures that should have been detected. Measurements Category X medications prescribed to pregnant patients. Results The alert simulation identified 2201 pregnancies with 16969 pregnancy months (excluding abortions and ectopic pregnancies). Of these, 30 appeared to have an order for a non-hormone category X medication during pregnancy. However, none of the 30 ‘exposed pregnancies’ were confirmed as true exposures in medical records review. The post-hoc algorithm identified 5841 pregnancies with 64 exposed pregnancies in 52569 risk months, only one of which was a confirmed case. Conclusions Category X medications may indeed be used in pregnancy, although rarely. However, most patients identified by the algorithm as exposed in pregnancy were not truly exposed. Therefore, implementing an electronic warning without evaluation would have inconvenienced prescribers, possibly hurting some patients (leading to non-use of needed drugs), with no benefit. These data demonstrate that computerized physician order entry interventions should be selected and evaluated carefully even before their use, using alert simulations such as that performed here, rather than just taken off the shelf and accepted as credible without formal evaluation. |
| Databáze: | OpenAIRE |
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