Title

E-Prescribing And Adverse Drug Events

Keywords

adverse drug event; diabetes; e-prescribing; medicare

Abstract

Background: Although the adoption of e-prescriptions among physicians has increased substantially under the Medicare Improvements for Patients and Providers Act and Meaningful Use programs, little is known of its impact on patient outcomes. Objective: To examine the impact of e-prescribing on emergency visits or hospitalizations for diabetes-related adverse drug events (ADEs) including hypoglycemia. Design: This is a prospective, observational cohort study with patient fixed effects. Setting: 2011-2013 fee for service Medicare. Patients: In total, 3.1 million Medicare fee for service, Part D enrolled beneficiaries over age 66 with diabetes mellitus and at least 90 days of antidiabetic medications. Measurements: E-prescribing was measured as the percentage of all prescriptions a person received transmitted to the pharmacy electronically. The outcome measure was the occurrence of an emergency department (ED) visit or hospitalization for hypoglycemia or diabetes-related ADE. Results: Unadjusted results show that there were 21 ADEs per 1000 beneficiaries that had ≥75% of their medications e-prescribed. Beneficiaries with lower e-prescribing levels had significantly higher numbers of ADEs. We found a robust association between the greater use of electronic prescriptions in the outpatient setting and the lower risk of an inpatient or ED visit for an ADE event among Medicare beneficiaries with diabetes in our adjusted analysis. At the e-prescribing threshold of 75% and above, significant reductions in ADE risk can be seen. Limitations: As an observational study, the results show an association but do not prove causation. Conclusions: Use of e-prescribing is associated with lower risk of an ED visit or hospitalization for diabetes-related ADE.

Publication Date

1-1-2017

Publication Title

Medical Care

Volume

55

Issue

5

Number of Pages

456-462

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1097/MLR.0000000000000684

Socpus ID

85008401011 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/85008401011

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