National Healthcare Quality and Disparities Report
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Search All Research Studies
Topics
- Adverse Drug Events (ADE) (10)
- (-) Adverse Events (16)
- Ambulatory Care and Surgery (1)
- Blood Thinners (1)
- (-) Clinical Decision Support (CDS) (16)
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- Medication: Safety (2)
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- Prevention (1)
- Provider (1)
- Provider: Pharmacist (1)
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- Risk (1)
- Shared Decision Making (3)
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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 16 of 16 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)
Liang C, Miao Q, Kang H
Leveraging patient safety research: efforts made fifteen years since To Err Is Human.
The present study sought to explore the associations between federal incentives of patient safety research and the outcomes from 1995 to 2014, in which two historical events - the release of To Err Is Human and the American Recovery and Reinvestment Act - were considered in the analysis. They concluded that their findings suggested a positive outcome in patient safety research.
AHRQ-funded; HS022895.
Citation: Liang C, Miao Q, Kang H .
Leveraging patient safety research: efforts made fifteen years since To Err Is Human.
Stud Health Technol Inform 2019 Aug 21;264:983-87. doi: 10.3233/shti190371..
Keywords: Patient Safety, Medical Errors, Adverse Events, Clinical Decision Support (CDS), 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
Aldina S, Goldhaber-Fiebert SN, Hannenberg AA
Factors associated with the use of cognitive aids in operating room crises: a cross-sectional study of US hospitals and ambulatory surgical centers.
This study examined organizational context and implementation process factors influencing the use of cognitive aids for OR crises. It found that small facility size was associated with a fourfold increase in the odds of a facility reporting more successful implementation. Completing more implementation steps was also significantly associated with more successful implementation.
AHRQ-funded; HS024235.
Citation: Aldina S, Goldhaber-Fiebert SN, Hannenberg AA .
Factors associated with the use of cognitive aids in operating room crises: a cross-sectional study of US hospitals and ambulatory surgical centers.
Implement Sci 2018 Mar 26;13(1):50. doi: 10.1186/s13012-018-0739-4.
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Keywords: Adverse Events, Ambulatory Care and Surgery, Patient Safety, Quality Improvement, Quality of Care, Hospitals, Shared Decision Making, Clinical Decision Support (CDS)
Le P, Martinez KA, Pappas MA
A decision model to estimate a risk threshold for venous thromboembolism prophylaxis in hospitalized medical patients.
To determine a threshold for prophylaxis based on risk of venous thromboembolism, the researchers constructed a decision model with a decision-tree following patients for 3 months after hospitalization, and a lifetime Markov model with 3-month cycles. They found that the prophylaxis threshold was relatively insensitive to low-molecular-weight heparin cost and bleeding risk, but very sensitive to patient age and life expectancy.
AHRQ-funded; HS022883.
Citation: Le P, Martinez KA, Pappas MA .
A decision model to estimate a risk threshold for venous thromboembolism prophylaxis in hospitalized medical patients.
J Thromb Haemost 2017 Jun;15(6):1132-41. doi: 10.1111/jth.13687.
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Keywords: Adverse Events, Clinical Decision Support (CDS), Inpatient Care, Patient Safety, Risk
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
Liang C, Gong Y
Enhancing patient safety event reporting by K-nearest neighbor classifier.
The debate on structured or unstructured data entry reveals not only a trade-off problem among data accuracy, completeness, and timeliness, but also a technical gap on text mining. The reesarchers suggested a text classification method for predicting subject categories. Their results demonstrated the feasibility of their system and indicated the advantage of such an application to raise data quality and clinical decision support in reporting patient safety events.
AHRQ-funded; HS022895.
Citation: Liang C, Gong Y .
Enhancing patient safety event reporting by K-nearest neighbor classifier.
Stud Health Technol Inform 2015;218:40603.
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Keywords: Adverse Events, Medical Errors, Patient Safety, Public Reporting, Clinical Decision Support (CDS), Health Information Technology (HIT), Data
Gephart S, Carrington JM, Finley B
A systematic review of nurses' experiences with unintended consequences when using the electronic health record.
The purpose of this article is to present the state of the science on nurses' experiences with unintended consequences of electronic health records (EHRs). Findings demonstrate that nurses experience changes to workflow, must continually adapt to meet patient's needs in the context of imperfect EHR systems, and have difficulty accessing the information they need to make patient care decisions. Implications for nurse administrators include the need for continual engagement with nurses along the continuum of EHR design, as well as the need to encourage nurses to speak up and acknowledge workflow changes that threaten patient safety or do not support work efficiency.
AHRQ-funded; HS021074.
Citation: Gephart S, Carrington JM, Finley B .
A systematic review of nurses' experiences with unintended consequences when using the electronic health record.
Nurs Adm Q 2015 Oct-Dec;39(4):345-56. doi: 10.1097/naq.0000000000000119.
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Keywords: Adverse Events, Clinical Decision Support (CDS), Electronic Health Records (EHRs), Nursing, Workflow
Boyce RD, Perera S, Nace DA
A survey of nursing home physicians to determine laboratory monitoring adverse drug event alert preferences.
The researchers conducted a survey to learn about the laboratory value thresholds that clinical event monitors should use to generate alerts about potential adverse drug events (ADEs). They found that the majority of physicians surveyed prefer alerting thresholds that would generally lead to fewer alerts than if widely accepted standardized laboratory ranges were used.
AHRQ-funded; HS019461; HS018721.
Citation: Boyce RD, Perera S, Nace DA .
A survey of nursing home physicians to determine laboratory monitoring adverse drug event alert preferences.
Appl Clin Inform 2014 Oct 29;5(4):895-906. doi: 10.4338/aci-2014-06-ra-0053..
Keywords: Nursing Homes, Clinical Decision Support (CDS), Adverse Events
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