National Healthcare Quality and Disparities Report
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Topics
- (-) Adverse Drug Events (ADE) (15)
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- (-) Clinical Decision Support (CDS) (15)
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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 15 of 15 Research Studies DisplayedReese T, Wright A, Liu S
Improving the specificity of drug-drug interaction alerts: can it be done?
A lack of accuracy and specificity of medication alerts have an impact on alert fatigue, high rates of override, and harm to the patient. The drugs that activate alerts are frequently grouped inconsistently into value sets, and alerts for drug-drug interactions (DDI) often do not account for the factors that could decrease risk. The purpose of this proof-of-concept study was to identify and bring attention to the inconsistency of drug value sets for activating alerts, as well as provide a method of classifying factors that can be utilized to alter the risk of harm from a DDI. The researchers included 15 well-known DDIs, and utilized 3 drug interaction references to isolate 2 drug value sets as well as order- and patient-related factors for each DDI. The study reported 30 value sets, with 56% of value sets (17) having nonsignificant agreement, with average moderate agreement among the remaining 13 value sets. Thirty-three factors were identified that could decrease risk in 93% (14) of the 15 DDIs. The researchers concluded that the study shows the value of improving the consistency of DDI-alerting drug value sets, and ways in which alert usefulness and specificity can be improved.
AHRQ-funded; HS025984; HS023826.
Citation: Reese T, Wright A, Liu S .
Improving the specificity of drug-drug interaction alerts: can it be done?
Am J Health Syst Pharm 2022 Jun 23;79(13):1086-95. doi: 10.1093/ajhp/zxac045..
Keywords: Adverse Drug Events (ADE), Adverse Events, Medication, Clinical Decision Support (CDS), Health Information Technology (HIT)
Villa Zapata L, Subbian V, Boyce RD
Overriding drug-drug interaction alerts in clinical decision support systems: a scoping review.
The authors reviewed published data on the rate of Drug-Drug Interactions (DDI) alert overrides and medications involved in the overrides. Among 34 eligible studies, they found that the override rate of DDI alerts ranged from 55% to 98%, with more than half of the studies reporting the most common drug pairs or medications involved in acceptance or overriding of alerts. They recommended decision support systems that take user, drug, and institutional factors into consideration, as well as actionable metrics to better characterize harm associated with overrides.
AHRQ-funded; HS025984; HS023826.
Citation: Villa Zapata L, Subbian V, Boyce RD .
Overriding drug-drug interaction alerts in clinical decision support systems: a scoping review.
Stud Health Technol Inform 2022 Jun 6;290:380-84. doi: 10.3233/shti220101..
Keywords: Clinical Decision Support (CDS), Health Information Technology (HIT), Adverse Drug Events (ADE), Adverse Events, Medication
Reese TJ, Del Fiol G, Morgan K
A shared decision-making tool for drug interactions between warfarin and nonsteroidal anti-inflammatory drugs: design and usability study.
Exposure to life-threatening drug-drug interactions (DDIs) occurs despite the widespread use of clinical decision support. The DDI between warfarin and nonsteroidal anti-inflammatory drugs is common and potentially life-threatening. Patients can play a substantial role in preventing harm from DDIs; however, the current model for DDI decision-making is clinician centric. This study aimed to design and examine the usability of DDInteract, a tool to support shared decision-making (SDM) between a patient and provider for the DDI between warfarin and nonsteroidal anti-inflammatory drugs.
AHRQ-funded; HS026198.
Citation: Reese TJ, Del Fiol G, Morgan K .
A shared decision-making tool for drug interactions between warfarin and nonsteroidal anti-inflammatory drugs: design and usability study.
JMIR Hum Factors 2021 Oct 26;8(4):e28618. doi: 10.2196/28618..
Keywords: Blood Thinners, Medication: Safety, Medication, Clinical Decision Support (CDS), Shared Decision Making, Electronic Health Records (EHRs), Health Information Technology (HIT), Adverse Drug Events (ADE), Adverse Events, Patient Safety
Kane-Gill SL, Wong A, Culley CM
JA, et al. Transforming the medication regimen review process using telemedicine to prevent adverse events.
The objective of this study was to determine the impact of pharmacist-led telemedicine services on reducing high-risk medication adverse drug events (ADEs) for nursing home (NH) residents using medication reconciliation and prospective medication regimen reviews (MRRs) on admission plus ongoing clinical decision support alerts throughout the residents' stay. Studying residents in four NHs in Southwestern Pennsylvania, findings showed that the intervention group had a 92% lower incidence of alert-specific ADEs than usual care, and all-cause hospitalization was similar between groups, as were 30-day readmissions.
AHRQ-funded; HS02420.
Citation: Kane-Gill SL, Wong A, Culley CM .
JA, et al. Transforming the medication regimen review process using telemedicine to prevent adverse events.
J Am Geriatr Soc 2021 Feb;69(2):530-38. doi: 10.1111/jgs.16946..
Keywords: Medication: Safety, Medication, Adverse Drug Events (ADE), Adverse Events, Medical Errors, Patient Safety, Telehealth, Health Information Technology (HIT), Provider: Pharmacist, Provider, Clinical Decision Support (CDS), Prevention
Lambert BL, Galanter W, Liu KL
Automated detection of wrong-drug prescribing errors.
Investigators assessed the specificity of an algorithm designed to detect look-alike/sound-alike (LASA) medication prescribing errors in electronic health record (EHR) data. They found that automated detection of LASA medication errors is feasible and can reveal errors not currently detected by other means. Additionally, real-time error detection is not possible with the current system. They suggested that further development should replicate their analysis in other health systems and on a larger set of medications and should decrease clinician time spent reviewing false-positive triggers by increasing specificity.
AHRQ-funded; HS021093.
Citation: Lambert BL, Galanter W, Liu KL .
Automated detection of wrong-drug prescribing errors.
BMJ Qual Saf 2019 Nov;28(11):908-15. doi: 10.1136/bmjqs-2019-009420..
Keywords: Adverse Drug Events (ADE), Adverse Events, Clinical Decision Support (CDS), Electronic Health Records (EHRs), Health Information Technology (HIT), Medical Errors, Medication, Patient Safety
Nguyen BP, Reese T, Decker S
Implementation of clinical decision support services to detect potential drug-drug interaction using clinical quality language.
The authors report on the implementation and evaluation of CDS Services which represent potential drug-drug interactions knowledge with Clinical Quality Language (CQL). Their suggested solution is based on emerging standards including CDS Hooks, FHIR, and CQL. They selected two use cases, implemented them with CQL rules, and tested them.
AHRQ-funded; HS023826; HS025984.
Citation: Nguyen BP, Reese T, Decker S .
Implementation of clinical decision support services to detect potential drug-drug interaction using clinical quality language.
Stud Health Technol Inform 2019 Aug 21;264:724-28. doi: 10.3233/shti190318..
Keywords: Clinical Decision Support (CDS), Adverse Drug Events (ADE), Medication, Adverse Events, Patient Safety, Health Information Technology (HIT)
Slight SP, Seger DL, Franz C
The national cost of adverse drug events resulting from inappropriate medication-related alert overrides in the United States.
Investigators worked to determine the national cost of adverse drug events (ADEs) in the United States in 2014. They used three different regression models. They used a random sample of 40,990 adult inpatients at the Brigham and Women’s Hospital in Boston with over 1.6 million medication orders. They extrapolated the medication orders using 2014 National Inpatient Sample (NIS) data. They estimated that out of 78.8 million total medication alerts, 5.5 million medication alerts would have been inappropriately overridden resulting in 196,660 ADEs. They estimated it would have cost between $871 million and $1.8 billion for treating these preventable ADEs in the United States.
AHRQ-funded; HS021094.
Citation: Slight SP, Seger DL, Franz C .
The national cost of adverse drug events resulting from inappropriate medication-related alert overrides in the United States.
J Am Med Inform Assoc 2018 Sep;25(9):1183-88. doi: 10.1093/jamia/ocy066..
Keywords: Healthcare Cost and Utilization Project (HCUP), Adverse Drug Events (ADE), Adverse Events, Clinical Decision Support (CDS), Health Information Technology (HIT), Healthcare Costs, Medical Errors, Medication
Wong A, Seger DL, Slight SP
Evaluation of 'definite' anaphylaxis drug allergy alert overrides in inpatient and outpatient settings.
The aim of this study was to determine the rate of anaphylaxis overrides, the reasons for these overrides, whether the overrides were appropriate, and if harm occurred from overrides. Overrides of 'definite' anaphylaxis drug-allergy interactions were common and often appropriate. Most overrides were due to desensitizations.
AHRQ-funded; HS021094.
Citation: Wong A, Seger DL, Slight SP .
Evaluation of 'definite' anaphylaxis drug allergy alert overrides in inpatient and outpatient settings.
Drug Saf 2018 Mar;41(3):297-302. doi: 10.1007/s40264-017-0615-1.
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Keywords: Adverse Drug Events (ADE), Clinical Decision Support (CDS), Electronic Health Records (EHRs), Medication: Safety, Medication
Romagnoli KM, Nelson SD, Hines L
Information needs for making clinical recommendations about potential drug-drug interactions: a synthesis of literature review and interviews.
To better understand the information needs and work practices of specialists who search and synthesize potential drug-drug interactions (PDDIs) evidence for drug information resources, the researchers conducted an inquiry that combined a thematic analysis of published literature with unstructured interviews. Their review of 92 papers and 10 interviews identified 56 categories of information needs related to the interpretation of PDDI information including drug and interaction information, study design and evidence including clinical details.
AHRQ-funded; HS019461.
Citation: Romagnoli KM, Nelson SD, Hines L .
Information needs for making clinical recommendations about potential drug-drug interactions: a synthesis of literature review and interviews.
BMC Med Inform Decis Mak 2017 Feb 22;17(1):21. doi: 10.1186/s12911-017-0419-3.
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Keywords: Guidelines, Clinical Decision Support (CDS), Medication, Adverse Drug Events (ADE)
Horsky J, Aarts J, Verheul L
Clinical reasoning in the context of active decision support during medication prescribing.
The purpose of this study was to describe and analyze reasoning patterns of clinicians responding to drug-drug interaction alerts in order to understand the role of patient-specific information in the decision-making process about the risks and benefits of medication therapy. The investigators found that declining an alert suggestion was preceded by sometimes brief but often complex reasoning, prioritizing different aspects of care quality and safety, especially when the perceived risk was higher.
AHRQ-funded; HS021094.
Citation: Horsky J, Aarts J, Verheul L .
Clinical reasoning in the context of active decision support during medication prescribing.
Int J Med Inform 2017 Jan;97:1-11. doi: 10.1016/j.ijmedinf.2016.09.004..
Keywords: Adverse Drug Events (ADE), Adverse Events, Clinical Decision Support (CDS), Shared Decision Making, Electronic Health Records (EHRs), Health Information Technology (HIT), Medical Errors, Medication, Patient Safety
Tilson H, Hines LE, McEvoy G
AHRQ Author: Helwig AL
Recommendations for selecting drug-drug interactions for clinical decision support.
A work group consisting of 20 experts in pharmacology, drug information, and clinical decision support (CDS) from academia, government agencies, health information vendors, and healthcare organizations was convened. It recommended a transparent, systematic, and evidence-driven process with graded recommendations by a consensus panel of experts and oversight by a national organization.
AHRQ-authored.
Citation: Tilson H, Hines LE, McEvoy G .
Recommendations for selecting drug-drug interactions for clinical decision support.
Am J Health Syst Pharm 2016 Apr 15;73(8):576-85. doi: 10.2146/ajhp150565.
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Keywords: Clinical Decision Support (CDS), Adverse Drug Events (ADE), Medication: Safety, Medication, Health Information Technology (HIT)
Lo Re V, 3rd, Haynes K, Forde KA
Risk of acute liver failure in patients with drug-induced liver injury: evaluation of Hy's Law and a new prognostic model.
The researchers aimed to develop a highly sensitive model to identify drug-induced liver injury (DILI) patients at increased risk of acute liver failure (ALF). negative predictive value (0.99), but low level of sensitivity (0.68) and positive predictive value (0.02). Their model, comprising data on platelet count and total bilirubin level, identified patients with ALF with a C statistic of 0.87 and enabled calculation of a risk score (Drug-Induced Liver Toxicity ALF Score).
AHRQ-funded; HS018372.
Citation: Lo Re V, 3rd, Haynes K, Forde KA .
Risk of acute liver failure in patients with drug-induced liver injury: evaluation of Hy's Law and a new prognostic model.
Clin Gastroenterol Hepatol 2015 Dec;13(13):2360-8. doi: 10.1016/j.cgh.2015.06.020.
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Keywords: Antimicrobial Stewardship, Medication, Chronic Conditions, Adverse Drug Events (ADE), Clinical Decision Support (CDS)
Moss J, Berner ES
Evaluating clinical decision support tools for medication administration safety in a simulated environment.
This study aimed to develop a methodology and tools for the design of clinical decision support systems to decrease the incidence of medication administration errors. Nurses’ evaluation of the medication administration decision support tools as well as their actual performance revealed a tendency to underestimate their need for support. Their preferences were for decision support that was short, color coded, and easily accessed.
AHRQ-funded; HS016660.
Citation: Moss J, Berner ES .
Evaluating clinical decision support tools for medication administration safety in a simulated environment.
Int J Med Inform 2015 May;84(5):308-18. doi: 10.1016/j.ijmedinf.2015.01.018..
Keywords: Patient Safety, Clinical Decision Support (CDS), Medication, Adverse Drug Events (ADE)
Ranji SR, Rennke S, Wachter RM
Computerised provider order entry combined with clinical decision support systems to improve medication safety: a narrative review.
The authors searched AHRQ's Patient Safety Net to identify reviews of the effect of computerised provider order entry (CPOE) combined with clinical decision support systems (CDSS) on adverse drug event (ADE) rates in inpatient and outpatient settings. They found that CPOE+CDSS was consistently reported to reduce prescribing errors, but does not appear to prevent clinical ADEs in either the inpatient or outpatient setting. Implementation of CPOE+CDSS profoundly changes staff workflow, often leading to unintended consequences and new safety issues (such as alert fatigue) which limit the system's safety effects.
AHRQ-funded; 2902007100621.
Citation: Ranji SR, Rennke S, Wachter RM .
Computerised provider order entry combined with clinical decision support systems to improve medication safety: a narrative review.
BMJ Qual Saf 2014 Sep;23(9):773-80. doi: 10.1136/bmjqs-2013-002165.
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Keywords: Adverse Drug Events (ADE), Adverse Events, Medical Errors, Clinical Decision Support (CDS), Health Information Technology (HIT), Medication, Patient Safety
Galanter WL, Bryson ML, Falck S
Indication alerts intercept drug name confusion errors during computerized entry of medication orders.
The authors measured whether indication alerts at the time of computerized physician order entry (CPOE) can intercept drug name confusion errors. They found that indication alerts intercepted 1.4 drug name confusion errors per 1000 alerts and recommended that institutions with CPOE consider using indication prompts to intercept drug name confusion errors.
AHRQ-funded; HS021093.
Citation: Galanter WL, Bryson ML, Falck S .
Indication alerts intercept drug name confusion errors during computerized entry of medication orders.
PLoS One 2014 Jul 15;9(7):e101977. doi: 10.1371/journal.pone.0101977.
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Keywords: Clinical Decision Support (CDS), Adverse Drug Events (ADE), Adverse Events, Medical Errors, Health Information Technology (HIT), Medication, Patient Safety