Achieving Medication Safety During Acute Kidney Injury

Study Overview
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Brief Summary
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The utilization of clinical decision support (CDS) is increasing among healthcare facilities which have implemented computerized physician order entry or electronic medical records. Formal prospective evaluation of CDS implementations occurs rarely, and misuse or flaws in system design are often unrecognized. Retrospective review can identify failures but is too late to make critical corrections or initiate redesign efforts. A real-time surveillance dashboard for high-alert medications integrates externalized CDS interactions with relevant medication ordering, administration, and therapeutic monitoring data. The surveillance view of the dashboard displays all currently admitted, eligible patients and provides brief demographics with triggering order, laboratory, and CDS failure data to allow prioritization of high-risk scenarios. The patient detail view displays a detailed timeline of orders, order administrations, laboratory values, and CDS interactions for an individual patient and allows users to understand provider actions and patient condition changes occurring in conjunction with CDS failures. Clinical pharmacists' use of the dashboard for patient monitoring and intervention aims to increase the rate and timeliness of intercepted medication errors compared to CPOE-based CDS in the setting of acute kidney injury, which affects patients at various points across all hospital units and services and has numerous opportunities for intervention.

Official Title
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Achieving Medication Safety During Acute Kidney Injury: The Impact of Clinical Decision Support and Real-Time Pharmacy Surveillance

Conditions
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Kidney Failure, Acute

Intervention / Treatment
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* Other: Pharmacy Dashboard Review and Intervention


Participation Criteria
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Eligibility Criteria
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Inclusion Criteria: 0.5 mg/dl increase or decrease in serum creatinine within 48 hours Active, recurring order for targeted renally cleared or nephrotoxic medication Exclusion Criteria: Chronic dialysis Transplant patients

Ages Eligible for Study
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Minimum Age: 18 Years

Sexes Eligible for Study
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All

Accepts Healthy Volunteers
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No

Study Plan
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How is the study designed?
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Design Details

Primary Purpose: Prevention
Allocation: Randomized
Intervention Model: Parallel Assignment
Masking: Double


Arms and Interventions

| Participant Group/Arm | Intervention/Treatment |
| --- | --- |
| Experimental: Dashboard<br>Patients appear on dashboard and are eligible for pharmacy intervention in addition to existing clinical decision support interventions. | Other: Pharmacy Dashboard Review and Intervention<br>* Clinical pharmacist reviews patients on dashboard and makes intervention with providing team when necessary.<br>|
| No Intervention: Control<br>Patients do not appear on dashboard for pharmacy intervention, but only receive existing clinical decision support interventions. | |

What is the study measuring?
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Primary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| Adverse Drug Events or Potential Adverse Drug Events | Our primary outcome measured the rate of AKI-related ADEs and pADEs. We defined pADEs as incidents with the potential for injury related to a drug, such as use of a non-steroidal anti-inflammatory drug for at least 24 hours, and ADEs as injuries resulting from the administration of a drug, such as a toxic vancomycin trough level or a bleed after administration of enoxaparin. We measured outcomes after completion of the inpatient encounter (either by death or discharge); pADEs or ADEs occurring after patient discharge were not included in the analysis. | Until patient discharge ( 2 week average) | 

Secondary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| Time to Provider Response | Time from study event to modification or discontinuation of targeted medication | Until patient discharge ( 2 week average) | 

 Terms related to the study
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Keywords Provided by Centre Hospitalier Valida
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Medication Errors, Adverse Drug Events, Decision Support Systems, Clinical