National Healthcare Quality and Disparities Report
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Topics
- Adverse Drug Events (ADE) (13)
- (-) Adverse Events (13)
- Ambulatory Care and Surgery (1)
- Antibiotics (1)
- Blood Thinners (1)
- Clinical Decision Support (CDS) (1)
- Decision Making (1)
- Diagnostic Safety and Quality (2)
- (-) Electronic Health Records (EHRs) (13)
- Health Information Technology (HIT) (13)
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- Medical Errors (4)
- Medication (13)
- (-) Medication: Safety (13)
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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 13 of 13 Research Studies DisplayedYerneni S, Shah S, Blackley SV
Heterogeneity of drug allergies and reaction lists in two U.S. healthcare systems' electronic health records.
This study compared adverse drug reaction (ADRs) picklists for clinicians in the electronic health record (EHR) allergy list for two different healthcare institutions. The authors used data from the EHRs of patients who visited the emergency department or outpatient clinics at Brigham and Women's Hospital (BWH) and University of Colorado Hospital (UCH) from 2013-2018. They investigated the reactions on each picklist and compared the top 40 reactions at each institution, as well as the top 10 reactions within each drug class. Out of 2,160,116 patients sampled, 30% reported active drug allergies. The most commonly reported drug class allergens were similar between the two institutions, however BWH’s picklist had 48 reactions while UCH’s had 160. Twenty-nine reactions were shared by both picklists. There was a lot more granularity with UCH’s picklist so that body locality, swelling and edema were described in much greater detail than for BWH. These picklists may partially explain variations in reported ADRs across healthcare systems.
AHRQ-funded; HS025375.
Citation: Yerneni S, Shah S, Blackley SV .
Heterogeneity of drug allergies and reaction lists in two U.S. healthcare systems' electronic health records.
Appl Clin Inform 2022 May 26;13(3):741-51. doi: 10.1055/a-1862-9425..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Medication, Adverse Drug Events (ADE), Adverse Events, Medication: Safety, Patient Safety
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), Decision Making, Electronic Health Records (EHRs), Health Information Technology (HIT), Adverse Drug Events (ADE), Adverse Events, Patient Safety
Watterson TL, Stone JA, Brown R
CancelRx: a health IT tool to reduce medication discrepancies in the outpatient setting.
Medication list discrepancies between outpatient clinics and pharmacies can lead to medication errors. Within the last decade, a new health information technology (IT), CancelRx, emerged to send a medication cancellation message from the clinic's electronic health record (EHR) to the outpatient pharmacy's software. The objective of this study was to measure the impact of CancelRx on reducing medication discrepancies between the EHR and pharmacy dispensing software.
AHRQ-funded; HS025793.
Citation: Watterson TL, Stone JA, Brown R .
CancelRx: a health IT tool to reduce medication discrepancies in the outpatient setting.
J Am Med Inform Assoc 2021 Jul 14;28(7):1526-33. doi: 10.1093/jamia/ocab038..
Keywords: Medication: Safety, Medication, Medical Errors, Adverse Drug Events (ADE), Adverse Events, Patient Safety, Electronic Health Records (EHRs), Health Information Technology (HIT), Ambulatory Care and Surgery
Wu P, Nelson SD, Zhao J
DDIWAS: high-throughput electronic health record-based screening of drug-drug interactions.
In this study, the investigators developed and evaluated Drug-Drug Interaction Wide Association Study (DDIWAS). This novel method detected potential drug-drug interactions (DDIs) by leveraging data from the electronic health record (EHR) allergy list. The investigators concluded that they demonstrated the value of incorporating information mined from existing allergy lists to detect DDIs in a real-world clinical setting. They indicate that since allergy lists are routinely collected in EHRs, DDIWAS has the potential to detect and validate DDI signals across institutions.
AHRQ-funded; HS026395.
Citation: Wu P, Nelson SD, Zhao J .
DDIWAS: high-throughput electronic health record-based screening of drug-drug interactions.
J Am Med Inform Assoc 2021 Jul 14;28(7):1421-30. doi: 10.1093/jamia/ocab019..
Keywords: Adverse Drug Events (ADE), Adverse Events, Electronic Health Records (EHRs), Health Information Technology (HIT), Medication, Medication: Safety, Patient Safety
Alvarez-Arango S, Yerneni S, Tang O
Vancomycin hypersensitivity reactions documented in electronic health records.
This study’s objective is to describe vancomycin hypersensitivity reaction (HSR) epidemiology in hospitals documented in electronic health records. Vancomycin is the most commonly prescribed antimicrobial in US hospitals. A cross-sectional study of patients with 1 or more encounter from 2017 to 2019 and an electronic health record vancomycin drug allergy label (DAL) in 2 US health care systems was conducted. Prevalence and trends of vancomycin DALs and assessed active DALs by HSR phenotype was determined. Out of almost 4.5 million patients, 14,426 (0.3%) had a vancomycin DAL with 18,761 documented reactions. Out of those 18,761 vancomycin HSRs, 42.1% were immediate phenotypes and 20.7% were delayed phenotypes. Common reactions were rash and red man syndrome (RMS). Anaphylaxis occurred in 6% of HSRs. RMS reaction was more likely for males and less likely for Blacks.
AHRQ-funded; HS025375.
Citation: Alvarez-Arango S, Yerneni S, Tang O .
Vancomycin hypersensitivity reactions documented in electronic health records.
J Allergy Clin Immunol Pract 2021 Feb;9(2):906-12. doi: 10.1016/j.jaip.2020.09.027..
Keywords: Antibiotics, Medication, Medication: Safety, Electronic Health Records (EHRs), Health Information Technology (HIT), Adverse Drug Events (ADE), Adverse Events, Patient Safety
Salmasian H, Blanchfield BB, Joyce K
Association of display of patient photographs in the electronic health record with wrong-patient order entry errors.
Wrong-patient order entry (WPOE) errors have a high potential for harm; these errors are particularly frequent wherever workflows are complex and multitasking and interruptions are common, such as in the emergency department (ED). The purpose of this study was to evaluate whether the use of noninterruptive display of patient photographs in the banner of the electronic health record (EHR) is associated with a decreased rate of WPOE errors.
AHRQ-funded; HS024713.
Citation: Salmasian H, Blanchfield BB, Joyce K .
Association of display of patient photographs in the electronic health record with wrong-patient order entry errors.
AMA Netw Open 2020 Nov 2;3(11):e2019652. doi: 10.1001/jamanetworkopen.2020.19652..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Medical Errors, Adverse Drug Events (ADE), Adverse Events, Medication, Medication: Safety, Patient Safety, Diagnostic Safety and Quality
Banerji A, Lai KH, Li Y
Natural language processing combined with ICD-9-CM codes as a novel method to study the epidemiology of allergic drug reactions.
Researchers sought to develop and validate a novel informatics method based on natural language processing (NLP) in combination with ICD-9-CM codes that identifies allergic drug reactions in the electronic health record. They found that using NLP with ICD-9-CM codes improved identification of allergic drug reactions, and they concluded that the resulting decrease in manual chart review effort will facilitate large epidemiology studies of this understudied area.
AHRQ-funded; HS024264; HS025375.
Citation: Banerji A, Lai KH, Li Y .
Natural language processing combined with ICD-9-CM codes as a novel method to study the epidemiology of allergic drug reactions.
J Allergy Clin Immunol Pract 2020 Mar;8(3):1032-38.e1. doi: 10.1016/j.jaip.2019.12.007..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Medication: Safety, Medication, Adverse Drug Events (ADE), Adverse Events, Patient Safety
Wong A, Seger DL, Lai KH
Drug hypersensitivity reactions documented in electronic health records within a large health system.
The goal of this study was to examine the epidemiology of hypersensitivity reactions (HSRs) using EHR data from the Partners Enterprise-wide Allergy Repository for two large tertiary care hospitals. HSRs were categorized as immediate or delayed and the causative drugs and drug groups assessed. Prevalence of HSRs was determined, and the sex and race of patients analyzed. Penicillins were associated with the most immediate and delayed reactions. Nearly half of the reported immediate HSRs manifested as hives. HSRs were more prevalent in females and white patients, but differences were identified for specific, rare HSRs.
AHRQ-funded; HS022728; HS025375.
Citation: Wong A, Seger DL, Lai KH .
Drug hypersensitivity reactions documented in electronic health records within a large health system.
J Allergy Clin Immunol Pract 2019 Apr;7(4):1253-60.e3. doi: 10.1016/j.jaip.2018.11.023..
Keywords: Adverse Drug Events (ADE), Adverse Events, Electronic Health Records (EHRs), Health Information Technology (HIT), Medication, Medication: Safety, Patient Safety
Wolfson AR, Zhou L, Li Y
Drug reaction with eosinophilia and systemic symptoms (DRESS) syndrome identified in the electronic health record allergy module.
Drug reaction with eosinophilia and systemic symptoms (DRESS) syndrome is a rare but severe hypersensitivity reaction that remains poorly characterized in the United States. The objective of this study was to identify and describe DRESS syndrome cases in an integrated health care system using electronic health record (EHR) allergy module free-text searches.
AHRQ-funded; HS022728; HS025375.
Citation: Wolfson AR, Zhou L, Li Y .
Drug reaction with eosinophilia and systemic symptoms (DRESS) syndrome identified in the electronic health record allergy module.
J Allergy Clin Immunol Pract 2019 Feb;7(2):633-40. doi: 10.1016/j.jaip.2018.08.013..
Keywords: Medication, Medication: Safety, Adverse Drug Events (ADE), Adverse Events, Patient Safety, Electronic Health Records (EHRs), Health Information Technology (HIT)
Prey JE, Polubriaginof F, Grossman LV
Engaging hospital patients in the medication reconciliation process using tablet computers.
Researchers conducted a pilot study to determine whether patients’ use of an electronic home medication review tool on a table computer could improve medication safety before or after hospitalization. Patients were randomized to the tool and out of 76 patients approached, 65 participated. About three-quarters (74%) made changes to their home medication list. Out of that total, 74% of the changes identified had a significant or greater potential severity, and 49% had a greater than 50-50 chance of harm. This medication reconciliation tool showed great potential to improve medication safety during and after hospitalization.
AHRQ-funded; HS021816.
Citation: Prey JE, Polubriaginof F, Grossman LV .
Engaging hospital patients in the medication reconciliation process using tablet computers.
J Am Med Inform Assoc 2018 Nov;25(11):1460-69. doi: 10.1093/jamia/ocy115..
Keywords: Adverse Drug Events (ADE), Adverse Events, Electronic Health Records (EHRs), Health Information Technology (HIT), Hospitalization, Hospitals, Medication, Medication: Safety, Patient and Family Engagement, Patient Safety, Prevention
Bates DW, Singh H
Two decades since To Err Is Human: an assessment of progress and emerging priorities in patient safety.
This paper comments on the progress made in improving patient safety since the 1999 report from The Institute of Medicine titled “To Err is Human” was published. This landmark report highlighted problem areas, and since then there has been a number of effective interventions to prevent hospital-acquired infections and improve medication safety. Additional areas for improvement have also been identified in the past two decades, including outpatient care, diagnostic, errors and the use of health information technology. The authors believe that electronic data developments can help increase patient safety even further.
AHRQ-funded; HS022087; HS017820.
Citation: Bates DW, Singh H .
Two decades since To Err Is Human: an assessment of progress and emerging priorities in patient safety.
Health Aff 2018 Nov;37(11):1736-43. doi: 10.1377/hlthaff.2018.0738..
Keywords: Adverse Drug Events (ADE), Adverse Events, Diagnostic Safety and Quality, Electronic Health Records (EHRs), Health Information Technology (HIT), Medical Errors, Medication, Medication: Safety, Patient Safety, Prevention
Wong A, Plasek JM, Montecalvo SP
Natural language processing and its implications for the future of medication safety: a narrative review of recent advances and challenges.
This review illustrates the fundamentals of natural language processing (NLP) and discusses the application the NLPs to medication safety in four data sources: electronic health records, Internet-based data, published literature, and reporting systems. The benefit of NLP is its time-saving features in association with the automation of medication safety tasks, as well as the potential for near real-time identification of adverse events, such as incidents posted on social media that might otherwise go unanalyzed. However, NLP is limited by a lack of data sharing between health care organizations, which inhibits wider adverse event monitoring across populations. The authors anticipate that future work on NLPs will focus on integrating of data sources from different domains to more quickly identify potential adverse events and to improve clinical decision support regarding patients’ estimated risks for specific adverse events.
AHRQ-funded; HS022728; HS024264; HS025375.
Citation: Wong A, Plasek JM, Montecalvo SP .
Natural language processing and its implications for the future of medication safety: a narrative review of recent advances and challenges.
Pharmacotherapy 2018 Aug;38(8):822-41. doi: 10.1002/phar.2151..
Keywords: Adverse Drug Events (ADE), Adverse Events, Electronic Health Records (EHRs), Health Information Technology (HIT), Medication, Medication: Safety, Patient Safety
Pohl JM, Tanner C, Hamilton A
Medication safety after implementation of a commercial electronic health record system in five safety-net practices: a mixed methods approach.
This study, conducted in five safety-net practices, examined the impact of implementing a commercial electronic health records system on medication safety. The authors found 130 "true" drug-drug interaction (DDI) pairs, representing 149,087 visits and 62 providers, with the largest DDI categories being related to antihypertensive medications, which are often prescribed together. They found no significant differences between physicians and nurse practitioners on the rate of DDI pairs.
AHRQ-funded; HS017191.
Citation: Pohl JM, Tanner C, Hamilton A .
Medication safety after implementation of a commercial electronic health record system in five safety-net practices: a mixed methods approach.
J Am Assoc Nurse Pract 2014 Aug;26(8):438-44. doi: 10.1002/2327-6924.12089.
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Keywords: Medication: Safety, Medication, Electronic Health Records (EHRs), Health Information Technology (HIT), Adverse Drug Events (ADE), Adverse Events, Medical Errors, Patient Safety