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AHRQ Research Studies
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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
Results
1 to 2 of 2 Research Studies DisplayedPevnick JM, Li N, Asch SM
Effect of electronic prescribing with formulary decision support on medication tier, copayments, and adherence.
The researchers evaluated whether formulary decision support (FDS) could reduce patient medication costs, and thereby improve adherence. In the studied population, interruptive FDS shifted prescribing toward preferred tier medications, but these medications were only minimally less expensive for patients. Thus, FDS did not significantly increase adherence.
AHRQ-funded; HS016391.
Citation: Pevnick JM, Li N, Asch SM .
Effect of electronic prescribing with formulary decision support on medication tier, copayments, and adherence.
BMC Med Inform Decis Mak 2014;14:79. doi: 10.1186/1472-6947-14-79..
Keywords: Electronic Prescribing (E-Prescribing), Medication, Patient Adherence/Compliance, Clinical Decision Support (CDS), Health Information Technology (HIT)
Falck S, Adimadhyam S, Meltzer DO
A trial of indication based prescribing of antihypertensive medications during computerized order entry to improve problem list documentation.
The authors measured the accuracy and completeness of electronic problem list additions using indication-based prescribing of antihypertensives. They found that clinical decision support using indication-based prescribing of antihypertensives produced accurate problem placement roughly two-thirds of the time with fewer than 5% inaccurate problems placed; performance of alerts was sensitive to the number of potential indications of the medication and attendings vs. other clinicians prescribing.
AHRQ-funded; HS016967.
Citation: Falck S, Adimadhyam S, Meltzer DO .
A trial of indication based prescribing of antihypertensive medications during computerized order entry to improve problem list documentation.
Int J Med Inform 2013 Oct;82(10):996-1003. doi: 10.1016/j.ijmedinf.2013.07.003.
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Keywords: Blood Pressure, Medication, Clinical Decision Support (CDS), Electronic Prescribing (E-Prescribing), Health Information Technology (HIT)