Potential Drug–Drug Interactions in the Outpatient Setting

Lafata, Jennifer Elston; Schultz, Lonni; Simpkins, Jan; Chan, K. Arnold; Horn, John R.; Kaatz, Scott; Long, Charron; Platt, Richard; Raebel, Marsha A.; Smith, David H.; Xi, Huago; Yood, Marianne Ulcickas

doi:10.1097/01.mlr.0000215807.91798.25

Cited by 31 publications

(17 citation statements)

References 41 publications

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“…[1][2][3] Electronic prescribing could potentially ameliorate these problems through automated alerts and reminders at the time of prescribing. [4][5][6][7][8][9][10][11] In addition to improving medication safety, eprescribing also could help prescribers and patients to select effective lower-cost medications, thereby improving adherence to medication therapies [12][13][14] while reducing costs to insurers and the health care system.…”

Section: Introductionmentioning

confidence: 99%

Variation in Electronic Prescribing Implementation Among Twelve Ambulatory Practices

et al. 2008

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BACKGROUND: Electronic prescribing has been advocated as an important tool for improving the safety and quality of medication use in ambulatory settings. However, widespread adoption of e-prescribing in ambulatory settings has yet to be realized. The determinants of successful implementation and use in these settings are not well understood. OBJECTIVE:To describe the practice characteristics associated with implementation and use of e-prescribing in ambulatory settings. DESIGN:Multi-method qualitative case study of ambulatory practices before and after e-prescribing implementation.PARTICIPANTS: Sixteen physicians and 31 staff members working in 12 practices scheduled for implementation of an e-prescribing program and purposively sampled to ensure a mix of practice size and physician specialty. MEASUREMENTS:Field researchers used observational and interview techniques to collect data on prescriptionrelated clinical workflow, information technology experience, and expectations. RESULTS:Five practices fully implemented e-prescribing, 3 installed but with only some prescribers or staff members using the program, 2 installed and then discontinued use, 2 failed to install. Compared to practice members in other groups, members of successful practices exhibited greater familiarity with the capabilities of health information technologies and had more modest expectations about the benefits likely to accrue from e-prescribing. Members of unsuccessful practices reported limited understanding of e-prescribing capabilities, expected that the program would increase the speed of clinical care and reported difficulties with technical aspects of the implementation and insufficient technical support. CONCLUSIONS:Practice leaders should plan implementation carefully, ensuring that practice members prepare for the effective integration of this technology into clinical workflow.KEY WORDS: electronic prescribing; medical informatics; qualitative research; health services research.

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Section: Introductionmentioning

confidence: 99%

Variation in Electronic Prescribing Implementation Among Twelve Ambulatory Practices

et al. 2008

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“…Each year, millions of patients are exposed to potential DDIs, 6,7 which may result in serious adverse events, including death. [8][9][10][11] DDI screening is a basic clinical decision support (CDS) feature incorporated into EHRs and e-prescribing systems to improve medical decision making, safety, and quality of care.…”

Section: Description Of the Medication Management Programmentioning

confidence: 99%

Evaluation of a Wireless Handheld Medication Management Device in the Prevention of Drug-Drug Interactions in a Medicaid Population

Malone¹,

Saverno²

2012

JMCP

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• Medication knowledge deficiency, including knowledge about drugs and inadequate patient history, is the most common factor contributing to prescribing errors.• According the Office of the National Coordinator for Health Information Technology, studies have shown that use of prescriber order entry in tertiary care settings can reduce the prevalence of drug-drug interactions (DDIs) by 40%; this reduction was not statistically significant. • Patient medication lists and electronic DDI screening are common clinical decision support features incorporated into electronic health records (EHRs) and e-prescribing software. More research is needed to determine whether providing nearly real-time health information can improve clinical practice and patient safety. What is already known about this subject Evaluation of a Wireless Handheld Medication Management Device in the Prevention of Drug-Drug Interactions in a Medicaid PopulationDaniel C. Malone, PhD, and Kimberly R. Saverno, PhD ABSTRACT BACKGROUND: With the passage of the Health Information Technology for Economic and Clinical Health (HITECH) Act, widespread adoption of certain health information technologies, such as electronic health records (EHRs) and electronic prescribing (e-prescribing), is imminent. Drug-drug interaction (DDI) screening and medication history information are commonly incorporated into health information exchange systems to improve medical decision making, safety, and quality of care, but the value of these features is unclear.

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“…6 The prevalence of DDIs identified in the literature varies widely due to differences in research methods used in the studies. 3,[7][8][9][10][11] Qato and colleagues conducted a study using in-home interviews of a nationally representative sample of 3,005 community-residing older adults and found that 4% of individuals were at potential risk for a major DDI. 10 Physicians, nurse practitioners, and pharmacists constitute the group of providers in closest proximity to patients receiving medications.…”

Section: Introductionmentioning

confidence: 99%

Healthcare Professional Students’ Knowledge of Drug-Drug Interactions

Harrington

Warholak

Hines

et al. 2011

American Journal of Pharmaceutical Education

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Objectives. To evaluate changes in medical, pharmacy, and nurse practitioner students' drug-drug interaction (DDI) knowledge after attending an educational program. Design. A DDI knowledge assessment containing 15 different drug pairs was administered to participants before and after a 45-minute educational session. Evaluation. Pharmacy, medical, and nursing students scored significantly higher on the posttest assessment for DDI recognition (median change 3, 9, and 8, respectively) and management strategy (median change 5, 9, 8, respectively), indicating a significant improvement in DDI knowledge as a result of the educational session. Pharmacy students scored significantly higher on the pretest; however, no difference was observed between the students' posttest scores. Posttest scores for all student groups were significantly greater than their respective pretest scores ( p , 0.001). Conclusions. Significant improvement in healthcare professional students' DDI knowledge was observed following participation in the educational session.

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Potential Drug–Drug Interactions in the Outpatient Setting

Abstract: We found evidence of potentially interacting concomitant medication dispensing among outpatients. An opportunity exists to better understand how such dispensing translates into adverse events and ultimately to improved medication safety.

Cited by 31 publications

References 41 publications

Variation in Electronic Prescribing Implementation Among Twelve Ambulatory Practices

Variation in Electronic Prescribing Implementation Among Twelve Ambulatory Practices

Evaluation of a Wireless Handheld Medication Management Device in the Prevention of Drug-Drug Interactions in a Medicaid Population

Healthcare Professional Students’ Knowledge of Drug-Drug Interactions

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