Prescribers??? Knowledge of and Sources of Information for Potential??Drug-Drug Interactions

Ko, Yu; Malone, Daniel C.; Skrepnek, Grant H.; Armstrong, Edward P.; Murphy, John E.; Abarca, Jacob; Rehfeld, Rick A.; Reel, Sally; Woosley, Raymond L.

doi:10.2165/00002018-200831060-00007

Cited by 104 publications

(107 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The response rate (23 %) is similar to or somewhat higher than for other web-based questionnaires [19][20]. In an Australian study 19.5% of pharmacists and physicians (out of 2000) responded to a postal survey regarding interaction software [20].…”

Section: Discussionmentioning

confidence: 53%

Evaluation of usage patterns and user perception of the drug–drug interaction database SFINX

Andersson

Böttiger

Bastholm‐Rahmner

et al. 2015

International Journal of Medical Informatics

View full text Add to dashboard Cite

PurposeThe aim of the present study was to investigate how prescribers and pharmacists use and perceive the drug-drug interaction database SFINX in their clinical work. MethodsA questionnaire was developed with questions aimed at the usage of SFINX, and the perceptions of the database. The questionnaire was sent out to all registered users of the web application of SFINX.The anonymous answers from the target users, prescribers and pharmacists were summarized using descriptive statistics. Statistical analysis was performed on age and gender differences for some questions regarding different usage patterns. ResultsThe questionnaire was sent to 11 763 registered SFINX users. The response rate was 23 %, including 1871 answers from prescribers or pharmacists. SFINX was reported to be used at least weekly or more often by 45% of the prescribers and 51% of the pharmacists. Many prescribers reported using the database during the patient consultation (60%) or directly before or after (56%). Among the prescribers, 74% reported that the information received made them change their action at least sometimes. About 20% of the prescribers and 25% of the pharmacists considered the information as irrelevant sometimes or more often. ConclusionMost prescribers and pharmacists reported using SFINX in direct association with a patient consultation. Information received by using SFINX makes prescribers and pharmacists change their handling of patients. DDI databases with relevant information about patient handling might improve drug treatment outcome.

show abstract

Section: Discussionmentioning

confidence: 53%

Evaluation of usage patterns and user perception of the drug–drug interaction database SFINX

Andersson

Böttiger

Bastholm‐Rahmner

et al. 2015

International Journal of Medical Informatics

View full text Add to dashboard Cite

show abstract

“…20,21 Concurrent use of nitrates and PDE5 inhibitors is contraindicated based on reports of myocardial infarction and fatalities, with clinical studies showing additive hypotensive effects. [22][23][24][25][26] However, some published reports have questioned these safety concerns, and there may be divergence between the risks stated in product labeling and drug compendia compared with the perceived clinical importance by prescribers.…”

Section: ■■ Discussionmentioning

confidence: 99%

Prescriber Perceptions of a Near Real-Time Fax Alert Program for Potential Drug-Drug Interactions

Armstrong¹,

Wang²,

Hines³

et al. 2014

JMCP

View full text Add to dashboard Cite

R ecent exposure to drug-drug interactions (DDIs) is associated with an increased risk for hospitalization for adverse drug events.1,2 DDI-related preventive measures used to improve patient safety include screening and decision support within electronic prescribing and pharmacy information systems. Pharmacy benefit managers (PBMs) also implement quality measures to improve patient safety, with online and retrospective drug utilization review (DUR) interventions that alert clinicians of potential DDIs (PDDIs).PBMs process a large proportion of prescriptions in the United States and frequently detect the dispensing of prescription medications known to interact. Solberg et al. (2004) analyzed prescription drug claims data from 2 large health plans and estimated that the frequency of PDDIs range from 6.2% to 6.7% per year.3 Malone et al. (2005) analyzed prescription drug claims data during a 25-month period and found that an estimated 374,000 participants were exposed to clinically important DDIs out of nearly 46 million plan participants. Pharmacy benefit managers are in an important position to identify the coprescribing of medications known to interact, since they process data on a large portion of prescription claims in the United States. Electronic health records and electronic prescribing also include alerts through their systems' clinical decision support. However, limited data are available that assess prescribers' perceptions of processes that screen for potential drug-drug interactions (PDDIs).

show abstract

“…This rating system and approach has been previously used by others. [13][14][15] Due to the lack of consistency in reporting and classification of drug interactions across drug interaction compendia, 2 compendia were chosen to serve as the basis for the correct severity rating assigned to each DDI pair in the questionnaire: Evaluations of Drug Interactions (EDI) and MicroMedex. 8,16,17 EDI assigns DDI significance codes based on the potential harm to the patient, frequency and predictability of occurrence, and degree and quality of documentation.…”

Section: Methodsmentioning

confidence: 99%

Pharmacy Students' Ability to Identify Potential Drug-Drug Interactions

Saverno¹,

Malone²,

Kurowsky³

2009

Am J Pharm Educ

View full text Add to dashboard Cite

Objective. To evaluate the ability of third-and fourth-year pharmacy students to identify clinically significant drug-drug interactions (DDIs) Methods. A questionnaire designed to measure DDI knowledge was disseminated to fourth-year pharmacy students in a school of pharmacy. A second questionnaire was distributed to third-year pharmacy students in 2 schools of pharmacy (schools A and B) and re-administered to students in 1 of the schools 1 year later. Results. Class of 2005 fourth-year pharmacy students correctly categorized an average of 52% 6 13% DDI pairs on the first questionnaire. Third-year pharmacy students at schools A and B correctly categorized an average of 61% 6 18% and 66% 6 15% of DDI pairs, respectively. The average percentage of correct responses for fourth-year students from the class of 2007 was 65% (6 17%). Conclusion. Pharmacy students' ability to identify important DDIs is far from optimal, even after completing experiential requirements.

show abstract

Prescribers??? Knowledge of and Sources of Information for Potential??Drug-Drug Interactions

Cited by 104 publications

References 24 publications

Evaluation of usage patterns and user perception of the drug–drug interaction database SFINX

Evaluation of usage patterns and user perception of the drug–drug interaction database SFINX

Prescriber Perceptions of a Near Real-Time Fax Alert Program for Potential Drug-Drug Interactions

Pharmacy Students' Ability to Identify Potential Drug-Drug Interactions

Contact Info

Product

Resources

About