Human Factors Considerations for Contraindication Alerts Heleen van der Sijs, Imtiaaz Baboe, Shobha Phansalkar Heleen van der Sijs, PharmD PhD Clinical.

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Presentation transcript:

Human Factors Considerations for Contraindication Alerts Heleen van der Sijs, Imtiaaz Baboe, Shobha Phansalkar Heleen van der Sijs, PharmD PhD Clinical pharmacist, Erasmus Medical Center Rotterdam Medinfo, Copenhagen, August 2013

Alert fatigue Mental state that is the result of Alerts consuming too much time and mental energy Which can cause relevant alerts to be unjustifiably overridden along with clinically irrelevant ones Ignoring alerts Misinterpretation of alerts Wrong selection of handling options Heleen van der Sijs. Drug Safety Alerting in Computerized Physician Order Entry. Unraveling and Counteracting Alert Fatigue. PhD thesis Rotterdam University.

Counteracting alert fatigue SSpecificity PPatient-tailored (relevant) alerts, preventing irrelevant alerts TTraining TTeaching how to understand and value alerts UUsability AAttracting attention: color, visibility, signal words FFacilitating handling: corrective actions

Human Factors in Alerting  I-MeDeSA: Instrument Medication-Related Decision Support Alerts  Quantitative instrument DDI alerting  9 human factors principles, 26 items  Placement, visibility, prioritization, color  Textual information  Proximity task components, corrective actions  Learnability and confusibility, alarm philosophy Phansalkar S et al. A review of human factors principles for the design and implementation of medication safety alerts in clinical information systems. J Am Med Inform 2010;17: Zachariah M et al. Development and preliminary evidence for the validity of an instrument assessing implementation of human-factors prinicples in medication-related decision-support systems – I-MeDeSA. J Am Med Inform Assoc 2011;18:Suppl 1:i62-72

Contraindications (CIs)  Condition of a patient that makes administration of a drug undesirable or dangerous  Patient morbidity (epilepsy, diabetes)  Patient status (pregnancy, lactation)  Allergy or intolerance  Drug-disease alerts, drug-allergy alerts  CI alerts dependent on medication orders + patient characteristics  Severity level, text messages important  Quantitative human-factors instrument lacking

Research questions  Can the DDI-instrument be used to some extent to CIs?  Which other (drug safety alert) human factors principles apply to CIs?  How should human factors principles for CIs be operationalized?  Test cases  Is it feasible to test design quality of CI alerting with this test?

Test items

Dutch Drug Database G-Standard  All licensed drugs: logistical and safety information  Included in pharmacy software, CPOEs for hospitals, GPs  Professional standard  Monthly update  CI mentioned in the literature  Really a CI? Action required?  Yes/yes CI → alert in CPOE  Yes/no CI → no alert  No/no CI → no alert

Severity levels and test drugs Pregnancy Risk Category DrugAction required? Severity level XRibavirinYesHigh DDoxycyclinYesMedium CMetoprololYesLow B3AciclovirYes B2AllopurinolNo B1RabeprazolYes AClindamycinNo AllergyDrugAction required? Severity Level AmoxicillinCoamoxiclavYesDependent on entered patient symptoms Metoprolol Yes PenicillinCefuroximYes Combination product Cross-sensitivity

Test  Enter CI pregnancy (4 months)  Trimester can be entered (1)  No question on trimester or estimated end date (0)  Prescribe ribavirin capsule 200mg QID  An CI alert is generated (1)  No alert is shown (0)  When in the prescribing process the alert is generated?  Directly after selecting the drug (1)  After prescribing the dose (0)  At order completion (0)

Contraindication alert Order complete Interruptive Screen overlap Severity Color Wording Handling OK

Results  30 items, 10 human factors principles  21 items ‘as is’  5 items slightly modified  4 items new (false alarms, alarm philosophy)  1 CPOE: Medicatie/EVS ®  3 independent raters  Scores 0.00 (false alarms not filtered out) – 0.89 (visibility)  Inter-rater variability κ=0.540 (moderate agreement)

Discussion  False alarms  Pregnancy risk category A and B2 (yes/no CI) shown in CPOE  Trimester not encoded in G-standard  Allergies  Not possible to enter severity level in CPOE  Severity not distinguishable (color, prioritization)  Interrater-variability: moderate agreement  Raters no experience in human factors principles

Conclusion  New instrument derived to large extent from I-MeDeSA for DDIs  False alarms is extra human factors principle to be included  Drugs contraindicated in pregnancy and allergy adequate for testing  Feasible to test design quality of CI alerting

Thank you for your attention! Questions? Heleen van der Sijs, PharmD PhD Erasmus MC, Rotterdam, Netherlands