National Healthcare Quality and Disparities Report
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Topics
- Adverse Drug Events (ADE) (28)
- Adverse Events (25)
- Ambulatory Care and Surgery (1)
- Antibiotics (1)
- Blood Thinners (2)
- Burnout (1)
- Caregiving (1)
- Children/Adolescents (2)
- Chronic Conditions (1)
- Clinical Decision Support (CDS) (6)
- Clinician-Patient Communication (1)
- Communication (2)
- Critical Care (1)
- Diagnostic Safety and Quality (2)
- Education: Patient and Caregiver (1)
- Elderly (1)
- Electronic Health Records (EHRs) (21)
- Electronic Prescribing (E-Prescribing) (8)
- Healthcare Costs (1)
- Healthcare Delivery (1)
- (-) Health Information Technology (HIT) (45)
- Health Literacy (1)
- Hospital Discharge (1)
- Hospitalization (2)
- Hospitals (2)
- Intensive Care Unit (ICU) (2)
- Medical Errors (13)
- Medication (45)
- (-) Medication: Safety (45)
- Newborns/Infants (1)
- Opioids (1)
- Patient and Family Engagement (1)
- Patient Safety (39)
- Patient Self-Management (2)
- Prevention (3)
- Provider (5)
- Provider: Clinician (2)
- Provider: Pharmacist (4)
- Quality of Care (1)
- Risk (2)
- Shared Decision Making (4)
- Telehealth (4)
- Transplantation (2)
- Women (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 25 of 45 Research Studies DisplayedJolliff A, Coller RJ, Kearney H
An mHealth design to promote medication safety in children with medical complexity.
This study describes an effort to design a health information technology tool to improve medication safety for children with medical complexity (CMC). The study engaged family caregivers, secondary caregivers, and clinicians who work with CMC in a co-design process to identify: 1) medication safety challenges experienced by CMC caregivers and, 2) design requirements for a mobile health application to improve medication safety for CMC in the home. Family caregivers, secondary caregivers, and clinicians from a children's hospital-based pediatric complex care program participated in virtual co-design sessions. During these sessions, the facilitator guided 16 co-designers in generating and converging upon medication safety challenges and design requirements. These sessions were recorded and reviewed after conclusion to confirm that all designer comments had been captured. An analysis yielded 11 challenges to medication safety and 11 corresponding design requirements that fit into three broader challenges: giving the right medication at the right time; communicating with others about medications; and accommodating complex medical routines.
AHRQ-funded; HS028409.
Citation: Jolliff A, Coller RJ, Kearney H .
An mHealth design to promote medication safety in children with medical complexity.
Appl Clin Inform 2024 Jan; 15(1):45-54. doi: 10.1055/a-2214-8000..
Keywords: Children/Adolescents, Medication: Safety, Medication, Health Information Technology (HIT), Chronic Conditions, Telehealth, Caregiving
Boxley C, Fujimoto M, Ratwani RM
A text mining approach to categorize patient safety event reports by medication error type.
This study examined whether natural language processing can be used to better categorize medication related patient safety event reports. A total of 3,861 medication related patient safety event reports that were previously annotated using a consolidated medication error taxonomy were used to develop three models using the following algorithms: (1) logistic regression, (2) elastic net, and (3) XGBoost. The models were tested and performance was analyzed. The authors found the XGBoost model performed best across all medication error categories. 'Wrong Drug', 'Wrong Dosage Form or Technique or Route', and 'Improper Dose/Dose Omission' categories performed best across the three models. In addition, they identified five words most closely associated with each medication error category and which medication error categories were most likely to co-occur.
AHRQ-funded; HS026481.
Citation: Boxley C, Fujimoto M, Ratwani RM .
A text mining approach to categorize patient safety event reports by medication error type.
Sci Rep 2023 Oct 26; 13(1):18354. doi: 10.1038/s41598-023-45152-w..
Keywords: Health Information Technology (HIT), Patient Safety, Medication, Medication: Safety, Adverse Drug Events (ADE), Adverse Events
Shannon EM, Mueller SK, Schnipper JL
Patient, caregiver, and clinician experience with a technologically enabled pillbox: a qualitative study.
The purpose of this study was to explore whether medication safety could be improved by the use of a technologically-enabled pillbox prescribed to patients at hospital discharge. The study included semi-structured telephone interviews with patients, patient caregivers, and inpatient and outpatient clinicians who participated in the Smart Pillbox Transition Study. The researchers utilized the Systems Engineering Initiative for Patient Safety (SEIPS) framework to develop an interview guide, which included the a priori domains of 1) barriers to implementation, 2) facilitators of the intervention, and 3) general feedback regarding experience with the intervention. The study found patient-endorsed barriers in the theme of technology and tools included signal issues, inappropriate alarms, and portability. Barriers in the theme of logistics and tasks included coordination with pharmacists in the event of a prescription change. Barriers mentioned by clinicians included patients who were poor fits for the intervention and competing demands at discharge (under the themes of personnel and patients, and logistics and tasks, respectively). Facilitators that were reported often by patients and caregivers in the theme of technology and tools included useful alarms and ease of use. Clinicians reported that communication with pharmacy and study staff facilitated the intervention.
AHRQ-funded.
Citation: Shannon EM, Mueller SK, Schnipper JL .
Patient, caregiver, and clinician experience with a technologically enabled pillbox: a qualitative study.
ACI Open 2023 Jul; 7(2):e61-e70..
Keywords: Medication, Health Information Technology (HIT), Patient Self-Management, Hospital Discharge, Medication: Safety, Patient Safety
Taft T, Rudd EA, Thraen I
"Are we there yet?" Ten persistent hazards and inefficiencies with the use of medication administration technology from the perspective of practicing nurses.
The objectives of this study were to characterize persistent hazards and inefficiencies in inpatient medication administration, to explore cognitive attributes of medication administration tasks, and to discuss strategies to reduce technology-related hazards. Researchers interviewed nurses at two urban US health systems. Persistent safety hazards and inefficiencies related to medication administration technology were organized around the perception-action cycle (PAC) cycle. The researchers concluded that errors may persist in medication administration despite successful deployment of Bar Code Medication Administration and Electronic Medication Administration Record. Opportunities to improve would require a deeper understanding of high-level reasoning in medication administration.
AHRQ-funded; HS025136.
Citation: Taft T, Rudd EA, Thraen I .
"Are we there yet?" Ten persistent hazards and inefficiencies with the use of medication administration technology from the perspective of practicing nurses.
J Am Med Inform Assoc 2023 Apr 19; 30(5):809-18. doi: 10.1093/jamia/ocad031..
Keywords: Medication, Electronic Prescribing (E-Prescribing), Health Information Technology (HIT), Patient Safety, Adverse Drug Events (ADE), Medical Errors, Medication: Safety
Grauer A, Rosen A, Applebaum JR
Examining medication ordering errors using AHRQ network of patient safety databases.
Research on the impact of Computerized Physician Order Entry (CPOE) systems on drug order inaccuracies has shown inconsistent results, with CPOE not reliably preventing such mistakes. The study utilized the Network of Patient Safety Databases (NPSD) from the Agency for Healthcare Research and Quality (AHRQ) to explore the frequency and degree of harm associated with reported events during the ordering stage, and to classify them by error type.
The researchers conducted a retrospective analysis of reported safety incidents provided by healthcare systems associated with patient safety organizations from June 2010 to December 2020. All errors related to medication and other substance orders reported to the NPSD using the common format v1.2 during this period were assessed. The researchers grouped and categorized the prevalence of reported medication order errors by error type, harm levels, and demographic data. The study found that during the study period, 12,830 mistakes were reported. Incorrect dosage accounted for 3,812 errors (29.7%), followed by incorrect medicine 2,086 (16.3%), and incorrect duration 765 (6.0%). Out of 5,282 incidents that affected the patient and had a known severity level, 12 resulted in fatalities, 4 led to severe harm, 45 caused moderate harm, 341 led to minor harm, and 4,880 resulted in no harm. The study concluded that the most frequently reported and damaging types of medication order errors were incorrect dose and incorrect medication orders.
The researchers conducted a retrospective analysis of reported safety incidents provided by healthcare systems associated with patient safety organizations from June 2010 to December 2020. All errors related to medication and other substance orders reported to the NPSD using the common format v1.2 during this period were assessed. The researchers grouped and categorized the prevalence of reported medication order errors by error type, harm levels, and demographic data. The study found that during the study period, 12,830 mistakes were reported. Incorrect dosage accounted for 3,812 errors (29.7%), followed by incorrect medicine 2,086 (16.3%), and incorrect duration 765 (6.0%). Out of 5,282 incidents that affected the patient and had a known severity level, 12 resulted in fatalities, 4 led to severe harm, 45 caused moderate harm, 341 led to minor harm, and 4,880 resulted in no harm. The study concluded that the most frequently reported and damaging types of medication order errors were incorrect dose and incorrect medication orders.
AHRQ-funded; HS026121.
Citation: Grauer A, Rosen A, Applebaum JR .
Examining medication ordering errors using AHRQ network of patient safety databases.
J Am Med Inform Assoc 2023 Apr 19; 30(5):838-45. doi: 10.1093/jamia/ocad007..
Keywords: Medication, Adverse Drug Events (ADE), Adverse Events, Medical Errors, Patient Safety, Electronic Prescribing (E-Prescribing), Health Information Technology (HIT), Medication: Safety
Gomez Lumbreras A, Reese TJ, Del Fiol G
Shared decision-making for drug-drug interactions: formative evaluation of an anticoagulant drug interaction.
This study evaluated a tool called DDInteract that was developed to enhance and support shared decision-making (SDM) between patients and physicians when both warfarin and NSAIDs are used concurrently. The study used case vignettes with physicians and patients on warfarin to conduct simulated virtual clinical encounters where they discussed the use of taking ibuprofen and warfarin concurrently and determined an appropriate therapeutic plan based on the patient’s individualized risk. Participants completed a postsession interview and SDM process survey, including the 9-item Shared Decision-Making Questionnaire (SDM-Q-9), tool usability and workload National Aeronautics and Space Administration (NASA) Task Load Index, Unified Theory of Acceptance and Use of Technology (UTAUT), Perceived Behavioral Control (PBC) scale, System Usability Scale (SUS), and Decision Conflict Scale (DCS). A total of 12 physician-patient dyads were used, with over 91% of the patients over 50 and 75% had been taking warfarin for over 2 years. Most participants rated DDInteract higher than usual care (UC) and would be willing to use the tool for an interaction involving warfarin and NSAIDs.
AHRQ-funded; HS027099.
Citation: Gomez Lumbreras A, Reese TJ, Del Fiol G .
Shared decision-making for drug-drug interactions: formative evaluation of an anticoagulant drug interaction.
JMIR Form Res 2022 Oct 19;6(10):e40018. doi: 10.2196/40018..
Keywords: Shared Decision Making, Medication, Blood Thinners, Clinical Decision Support (CDS), Health Information Technology (HIT), Medication: Safety, Patient Safety
Villa-Zapata L, Gómez-Lumbreras A, Horn J
A disproportionality analysis of drug-drug interactions of tizanidine and CYP1A2 inhibitors from the FDA Adverse Event Reporting System (FAERS).
This study’s aim was to examine the occurrence of adverse events reported in the FDA Adverse Event Reporting System (FAERS) involving the combination of tizanidine and drugs that inhibit the metabolic activity of CYP1A2. Tizanidine is used to help control muscle spasticity. From 2004 quarter 1 through 2020 quarter 3 a total of 89 reports were identified mentioning tizanidine, at least one CYP1A2 inhibitor, and one of the adverse events of interest including: hypotension, bradycardia, syncope, shock, cardiorespiratory arrest, and fall or fracture. More than half the reports identified tizanidine as having a suspect or interacting role, and the reports more frequently involved women (65.1%). The median age was 56.1 years. Hypotension had the highest odds for adverse event reports involving tizanidine and a CYP1A2 inhibitor which can lead to falls and fractures.
AHRQ-funded; HS025984.
Citation: Villa-Zapata L, Gómez-Lumbreras A, Horn J .
A disproportionality analysis of drug-drug interactions of tizanidine and CYP1A2 inhibitors from the FDA Adverse Event Reporting System (FAERS).
Drug Saf 2022 Aug;45(8):863-71. doi: 10.1007/s40264-022-01200-4..
Keywords: Health Information Technology (HIT), Medication, Adverse Drug Events (ADE), Adverse Events, Medication: Safety, Patient Safety
Yerneni 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), Shared Decision Making, Electronic Health Records (EHRs), Health Information Technology (HIT), Adverse Drug Events (ADE), Adverse Events, Patient Safety
Taber DJ, Fleming JN, Su Z
Significant hospitalization cost savings to the payer with a pharmacist-led mobile health intervention to improve medication safety in kidney transplant recipients.
This paper examined hospitalization cost savings to the payer with a pharmacist-led mobile health intervention to improve medication safety in kidney transplant recipients. This study was an economic analysis of a 12-month, parallel arm, randomized controlled trial in adult kidney recipients 6 to 36 months posttransplant (NCT03247322). All participants received usual posttransplant care, while the intervention arm received supplemental clinical pharmacist-led medication therapy monitoring and management, via a smartphone-enabled mHealth app, integrated with risk-based televisits.
AHRQ-funded; HS023754.
Citation: Taber DJ, Fleming JN, Su Z .
Significant hospitalization cost savings to the payer with a pharmacist-led mobile health intervention to improve medication safety in kidney transplant recipients.
Am J Transplant 2021 Oct;21(10):3428-35. doi: 10.1111/ajt.16737..
Keywords: Healthcare Costs, Provider: Pharmacist, Telehealth, Health Information Technology (HIT), Transplantation, Hospitalization, Medication: Safety, Medication
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
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
Kandaswamy S, Pruitt Z, Kazi S
Clinician perceptions on the use of free-text communication orders.
The aim of this study was to investigate (1) why ordering clinicians use free-text orders to communicate medication information; (2) what risks physicians and nurses perceive when free-text orders are used for communicating medication information; and (3) how electronic health records (EHRs) could be improved to encourage the safe communication of medication information. The investigators concluded that clinicians' use of free-text orders as a workaround to insufficient structured order entry can create unintended patient safety risks.
AHRQ-funded; HS025136; HS024755.
Citation: Kandaswamy S, Pruitt Z, Kazi S .
Clinician perceptions on the use of free-text communication orders.
Appl Clin Inform 2021 May;12(3):484-94. doi: 10.1055/s-0041-1731002..
Keywords: Electronic Prescribing (E-Prescribing), Health Information Technology (HIT), Electronic Health Records (EHRs), Medication: Safety, Medication, Patient Safety, Communication, Provider: Clinician, Provider, Risk
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
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
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
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
Co Z, Holmgren AJ, Classen DC
The tradeoffs between safety and alert fatigue: data from a national evaluation of hospital medication-related clinical decision support.
This study evaluated the overall performance of hospitals that used the Computerized Physician Order Entry Evaluation Tool in 2017 and 2018 and compared performances for fatal orders and nuisance orders each year. The authors evaluated 1599 hospitals that took the test by using their overall percentage scores along with the percentage of fatal orders appropriately alerted on and the percentage of nuisance orders incorrectly alerted on. Overall hospital scores improved from 58.1% in 2017 to 66.2% in 2018. Fatal order performance improved slightly from 78.8% to 83.0%, but there no very little change in nuisance order performance (89.0% to 89.7%). Conclusions were that perhaps hospitals are not targeting the deadliest orders first and some hospitals may be achieving higher scores by over-alerting. This has the potential to cause clinician burnout and even worsen patient safety.
AHRQ-funded; HS023696.
Citation: Co Z, Holmgren AJ, Classen DC .
The tradeoffs between safety and alert fatigue: data from a national evaluation of hospital medication-related clinical decision support.
J Am Med Inform Assoc 2020 Aug;27(8):1252-58. doi: 10.1093/jamia/ocaa098..
Keywords: Medication: Safety, Medication, Patient Safety, Clinical Decision Support (CDS), Shared Decision Making, Burnout, Hospitals, Health Information Technology (HIT), Quality of Care
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
Holmgren AJ, Co Z, Newmark L
Assessing the safety of electronic health records: a national longitudinal study of medication-related decision support.
The authors tested how well EHRs prevented medication errors with the potential for patient harm. Data from a national, longitudinal sample of 1527 hospitals in the US from 2009-16 who took a safety performance assessment test using simulated medication orders was used. The authors found that hospital medication order safety performance improved over time. They conclude that intentional quality improvement efforts appear to be a critical part of high safety performance and may indicate the importance of a culture of safety.
AHRQ-funded; HS023696.
Citation: Holmgren AJ, Co Z, Newmark L .
Assessing the safety of electronic health records: a national longitudinal study of medication-related decision support.
BMJ Qual Saf 2020 Jan;29(1):52-59. doi: 10.1136/bmjqs-2019-009609..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Patient Safety, Medication, Electronic Prescribing (E-Prescribing), Medication: Safety, Clinical Decision Support (CDS), Shared Decision Making
McCarthy DM, Curtis LM, Courtney DM
A multifaceted intervention to improve patient knowledge and safe use of opioids: results of the ED EMC(2) randomized controlled trial.
Despite increased focus on opioid prescribing, little is known about the influence of prescription opioid medication information given to patients in the emergency department (ED). The objective of this study was to evaluate the effect of an Electronic Medication Complete Communication (EMC(2)) Opioid Strategy on patients' safe use of opioids and knowledge about opioids. The study found that the EMC(2) tools improved demonstrated safe dosing, but these benefits did not translate into actual use based on medication dairies. The text-messaging intervention did result in improved patient knowledge.
AHRQ-funded; HS023459.
Citation: McCarthy DM, Curtis LM, Courtney DM .
A multifaceted intervention to improve patient knowledge and safe use of opioids: results of the ED EMC(2) randomized controlled trial.
Acad Emerg Med 2019 Dec;26(12):1311-25. doi: 10.1111/acem.13860..
Keywords: Opioids, Medication, Medication: Safety, Patient Safety, Health Literacy, Education: Patient and Caregiver, Clinician-Patient Communication, Communication, Health Information Technology (HIT)
Carayon P, Wetterneck TB, Cartmill R
Medication safety in two intensive care units of a community teaching hospital after electronic health record implementation: sociotechnical and human factors engineering considerations.
This study examined the impact of electronic health record (EHR) implementation in two intensive care units (ICUs). The authors assessed 1254 consecutive admissions before and after an EHR implementation. They identified 4063 medication-related events either pre-implementation (2074 events) or post-implementation (1989 events). The overall potential for harm due to medication errors decreased post-implementation, but only 2 of the 3 error rates were significantly lower post-implementation. They observed reductions in rates of medication errors per admission at the stages of transcription, dispensing, and administration. In the ordering stage, 4 error types decreased post-implementation (orders with omitted information, error-prone abbreviations, illegible orders, failure to renew orders) and 4 error types increased post-implementation (orders of wrong drug, orders containing a wrong start or stop time, duplicate orders, orders with inappropriate or wrong information).
AHRQ-funded; HS015274; HS000083.
Citation: Carayon P, Wetterneck TB, Cartmill R .
Medication safety in two intensive care units of a community teaching hospital after electronic health record implementation: sociotechnical and human factors engineering considerations.
J Patient Saf 2021 Aug 1;17(5):e429-e39. doi: 10.1097/pts.0000000000000358.
AHRQ-funded; HS015274; HS000083..
AHRQ-funded; HS015274; HS000083..
Keywords: Medication: Safety, Medication, Intensive Care Unit (ICU), Critical Care, Patient Safety, Electronic Health Records (EHRs), Health Information Technology (HIT)
Adelman JS, Applebaum JR, Southern WN
Risk of wrong-patient orders among multiple vs singleton births in the neonatal intensive care units of 2 integrated health care systems.
Researchers assessed the risk of wrong-patient orders among multiple-birth infants and singletons receiving care in the NICU and examined the proportion of wrong-patient orders between multiple-birth infants and siblings (intrafamilial errors) and between multiple-birth infants and nonsiblings (extrafamilial errors). They found that multiple-birth status in the NICU is associated with significantly increased risk of wrong-patient orders compared with singleton-birth status. Strategies to reduce this risk include using given names at birth, changing from temporary to given names when available, and encouraging parents to select names for multiple births before they are born when acceptable to families.
AHRQ-funded; HS024538.
Citation: Adelman JS, Applebaum JR, Southern WN .
Risk of wrong-patient orders among multiple vs singleton births in the neonatal intensive care units of 2 integrated health care systems.
JAMA Pediatr 2019 Oct 10;173(10):979-85. doi: 10.1001/jamapediatrics.2019.2733..
Keywords: Newborns/Infants, Intensive Care Unit (ICU), Adverse Drug Events (ADE), Adverse Events, Medication: Safety, Medication, Patient Safety, Electronic Prescribing (E-Prescribing), Health Information Technology (HIT)