National Healthcare Quality and Disparities Report
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AHRQ Research Studies Date
Topics
- Adverse Drug Events (ADE) (10)
- Adverse Events (11)
- Ambulatory Care and Surgery (2)
- Clinical Decision Support (CDS) (3)
- Electronic Health Records (EHRs) (3)
- Electronic Prescribing (E-Prescribing) (3)
- Healthcare Costs (1)
- (-) Health Information Technology (HIT) (13)
- (-) Medical Errors (13)
- Medicare (1)
- Medication (11)
- Medication: Safety (6)
- Patient Safety (13)
- Prevention (2)
- Provider (2)
- Provider: Pharmacist (2)
- Risk (1)
- Telehealth (2)
- Transplantation (1)
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 DisplayedFong A, Behzad S, Pruitt Z
A machine learning approach to reclassifying miscellaneous patient safety event reports.
This research paper describes an effort to develop a machine learning natural language processing model to reclassify medical adverse events that were classified as “miscellaneous” as opposed to a specific event-type category. The authors integrated the model into a clinical workflow dashboard, evaluated user feedback, and compared differences in user thresholds for model performance to reclassify those reports.
AHRQ-funded; HS026481.
Citation: Fong A, Behzad S, Pruitt Z .
A machine learning approach to reclassifying miscellaneous patient safety event reports.
J Patient Saf 2021 Dec 1;17(8):e829-e33. doi: 10.1097/pts.0000000000000731..
Keywords: Patient Safety, Health Information Technology (HIT), Medical Errors
Iqbal AR, Parau CA, Kazi S
Identifying electronic medication administration record (eMAR) usability issues from patient safety event reports.
This study investigated the contribution of usability challenges associated with the electronic medication administration record (eMAR) to medication errors using patient safety event reports (PSEs). The authors analyzed free-text descriptions of 849 medication-related PSEs selected from 2.3 million reports. Specific health IT components, usability challenge categories, and nuanced usability themes that contributed to each PSE were identified by coders. Usability challenges included workflow support, alerting, and display/visual clutter.
AHRQ-funded; HS025136.
Citation: Iqbal AR, Parau CA, Kazi S .
Identifying electronic medication administration record (eMAR) usability issues from patient safety event reports.
Jt Comm J Qual Patient Saf 2021 Dec;47(12):793-801. doi: 10.1016/j.jcjq.2021.09.004..
Keywords: Electronic Prescribing (E-Prescribing), Health Information Technology (HIT), Medication, Medical Errors, Patient Safety
Adams KT, Pruitt Z, Kazi S
Identifying health information technology usability issues contributing to medication errors across medication process stages.
Researchers sought to identify the types of medication errors associated with health IT use, whether they reached the patient, where in the medication process those errors occurred, and the specific usability issues contributing to those errors. They found that health IT usability issues were a prevalent contributing factor to medication errors, many of which reach the patient. They recommended that data entry, workflow support, and alerting be prioritized during usability and safety optimization efforts.
AHRQ-funded; HS025136.
Citation: Adams KT, Pruitt Z, Kazi S .
Identifying health information technology usability issues contributing to medication errors across medication process stages.
J Patient Saf 2021 Dec 1;17(8):e988-e94. doi: 10.1097/pts.0000000000000868..
Keywords: Medication, Health Information Technology (HIT), Medical Errors, 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
King CR, Abraham J, Fritz BA
Predicting self-intercepted medication ordering errors using machine learning.
Current approaches to understanding medication ordering errors rely on relatively small manually captured error samples. These approaches are resource-intensive, do not scale for computerized provider order entry (CPOE) systems, and are likely to miss important risk factors associated with medication ordering errors. Previously, the investigators described a dataset of CPOE-based medication voiding accompanied by univariable and multivariable regression analyses. In this paper, they updated the analysis using machine learning (ML) models to predict erroneous medication orders and identify its contributing factors.
AHRQ-funded; HS025443.
Citation: King CR, Abraham J, Fritz BA .
Predicting self-intercepted medication ordering errors using machine learning.
PLoS One 2021 Jul 14;16(7):e0254358. doi: 10.1371/journal.pone.0254358..
Keywords: Medication, Medical Errors, Adverse Drug Events (ADE), Adverse Events, Medication: Safety, Patient Safety, Electronic Prescribing (E-Prescribing), Health Information Technology (HIT)
Gonzales HM, Fleming JN, Gebregziabher M
Pharmacist-led mobile health intervention and transplant medication safety: a randomized controlled clinical trial.
The goal of this study was to examine the efficacy of improving medication safety through a pharmacist-led, mobile health-based intervention. In this single-center study of adult kidney recipients 6-36 months post-transplant, findings showed that participants receiving the intervention experienced a significant reduction in medication errors and a significantly lower incidence risk of Grade 3 or higher adverse events. The intervention arm also demonstrated significantly lower rates of hospitalizations.
AHRQ-funded; HS023754.
Citation: Gonzales HM, Fleming JN, Gebregziabher M .
Pharmacist-led mobile health intervention and transplant medication safety: a randomized controlled clinical trial.
Clin J Am Soc Nephrol 2021 May 8;16(5):776-84. doi: 10.2215/cjn.15911020..
Keywords: Medication: Safety, Medication, Patient Safety, Transplantation, Telehealth, Health Information Technology (HIT), Provider: Pharmacist, Provider, Medical Errors, Adverse Drug Events (ADE), Adverse Events
Classen DC, Munier W, Verzier N
AHRQ Author: Munier W, Eldridge N, Brady PJ, Helwig A, Battles J
Measuring patient safety: the Medicare Patient Safety Monitoring System (past, present, and future).
This review article discusses the development, strengths and limitations, and future of the Medicare Patient Safety Monitoring System (MPSMS), which was created more than 10 years ago. MPSMS is a chart review-based national patient safety surveillance system that provides rates of 21 specific hospital inpatient adverse event measures, which are divided into 4 clinical domains (general, hospital-acquired infections, post-procedure adverse events, and adverse drug events). The 2014 MPSMS national sample was drawn from 1109 hospitals and includes approximately 20,000 medical records of patients admitted to the hospital for at least 1 of 4 conditions: congestive heart failure, acute myocardial infarction, pneumonia, and major surgical procedures as defined by the Centers for Medicare and Medicaid Services Surgical Care Improvement Project. The MSPMS is now undergoing a major transformation to capture additional types of adverse events, and is being renamed the Quality and Safety Review System (QSRS). Data will be electronically imported and will be updated and evolved over time to incorporate expanded standardized data available from electronic health records.
AHRQ-authored.
Citation: Classen DC, Munier W, Verzier N .
Measuring patient safety: the Medicare Patient Safety Monitoring System (past, present, and future).
J Patient Saf 2021 Apr 1;17(3):e234-3240. doi: 10.1097/pts.0000000000000322..
Keywords: Patient Safety, Medicare, Medical Errors, Adverse Events, Electronic Health Records (EHRs), Health Information Technology (HIT)
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
Abraham J, Galanter WL, Touchette D
Risk factors associated with medication ordering errors.
This study’s goal was to collect data on “voided” orders in computerized order entry systems for medication to 1) identify the nature and characteristics of medication ordering errors; 2) investigate the risk factors associated with these errors and; 3) explore potential strategies to mitigate these risk factors. Data was collected using clinician interviews and surveys within 24 hours of the voided order and using chart reviews. During the 16-month study period 1074 medication orders were voided, with 842 being true medication errors. A total of 22% reached the patient, with at least a single administration, but without causing patient harm. Interviews were conducted on 355 voided orders (33%). Errors were associated with multiple factors not just a single risk factor. The causal contributors included a combination of technological-, cognitive-, environment-, social-, and organization-level factors.
AHRQ-funded; HS025443.
Citation: Abraham J, Galanter WL, Touchette D .
Risk factors associated with medication ordering errors.
J Am Med Inform Assoc 2021 Jan 15;28(1):86-94. doi: 10.1093/jamia/ocaa264..
Keywords: Medication: Safety, Electronic Prescribing (E-Prescribing), Medication: Safety, Medication, Medical Errors, Adverse Drug Events (ADE), Adverse Events, Risk, Health Information Technology (HIT), Patient Safety
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
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
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
Forrester SH, Hepp Z, Roth JA
Cost-effectiveness of a computerized provider order entry system in improving medication safety ambulatory care.
The study objective was to estimate the cost-effectiveness of computerized provider order entry versus traditional paper-based prescribing in reducing medications errors and adverse drug events in the ambulatory setting of mid-sized medical group. Using a decision-analytic model, the researchers found that the adoption of CPOE in the ambulatory setting provides excellent value for the investment.
AHRQ-funded; HS014739
Citation: Forrester SH, Hepp Z, Roth JA .
Cost-effectiveness of a computerized provider order entry system in improving medication safety ambulatory care.
Value Health. 2014 Jun;17(4):340-9. doi: 10.1016/j.jval.2014.01.009..
Keywords: Health Information Technology (HIT), Adverse Drug Events (ADE), Adverse Events, Medical Errors, Medication, Patient Safety, Healthcare Costs, Ambulatory Care and Surgery, Prevention