National Healthcare Quality and Disparities Report
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AHRQ Research Studies Date
Topics
- Adverse Drug Events (ADE) (4)
- Adverse Events (3)
- Antibiotics (1)
- Blood Thinners (2)
- Clinical Decision Support (CDS) (3)
- COVID-19 (2)
- Electronic Health Records (EHRs) (2)
- Electronic Prescribing (E-Prescribing) (3)
- Emergency Department (1)
- Evidence-Based Practice (1)
- (-) Health Information Technology (HIT) (12)
- Hospital Discharge (1)
- Human Immunodeficiency Virus (HIV) (1)
- Inpatient Care (1)
- Medical Errors (2)
- (-) Medication (12)
- Medication: Safety (4)
- Opioids (1)
- Patient Adherence/Compliance (1)
- Patient Safety (4)
- Patient Self-Management (1)
- Provider: Nurse (1)
- Provider: Pharmacist (2)
- Surgery (1)
- Telehealth (1)
- Vulnerable Populations (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 12 of 12 Research Studies DisplayedBoxley 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
Ranusch A, Lin YJ, Dorsch MP
Role of individual clinician authority in the implementation of informatics tools for population-based medication management: qualitative semistructured interview study.
The objective of this study was to examine how individual authority of clinical pharmacists and anticoagulation nurses is affected by the implementation success of an electronic health record (EHR) direct oral anticoagulant (DOAC) Dashboard for safe DOAC medication prescribing. Researchers conducted semistructured interviews with pharmacists and nurses after the implementation of the EHR DOAC Dashboard at three clinical sites. Results showed that a high level of individual clinician authority was associated with high levels of key facilitators for effective use of the DOAC Dashboard; conversely, a lack of individual authority was associated with key barriers to effective use. The researchers concluded that increased individual clinician authority is a necessary antecedent to the effective implementation of an EHR DOAC Population Management Dashboard.
AHRQ-funded; HS026874.
Citation: Ranusch A, Lin YJ, Dorsch MP .
Role of individual clinician authority in the implementation of informatics tools for population-based medication management: qualitative semistructured interview study.
JMIR Hum Factors 2023 Oct 24; 10:e49025. doi: 10.2196/49025..
Keywords: Medication, Provider: Pharmacist, Electronic Health Records (EHRs), Health Information Technology (HIT), Provider: Nurse, Blood Thinners
Pitts SI, Olson s, Yanek LR
Pharmacy e-prescription dispensing before and after CancelRx implementation.
The objective of this study was to evaluate the association of implementation of e-prescription cancellation messaging (CancelRx) with medication dispensing after discontinuation of e-prescriptions in electronic health records (EHRs). Patients who had at least one medication e-prescribed in ambulatory care to a health system pharmacy and discontinued within the study period participated in a case series with interrupted time series analysis. Findings indicated that CancelRx implementation was associated with an immediate and sustained reduction in the proportion of e-prescriptions sold after discontinuation in the EHR. The authors concluded that widespread implementation of CancelRx could significantly improve medication safety through the reduction of medication dispensing after discontinuation by prescribers.
AHRQ-funded; HS026584.
Citation: Pitts SI, Olson s, Yanek LR .
Pharmacy e-prescription dispensing before and after CancelRx implementation.
JAMA Intern Med 2023 Oct; 183(10):1120-26. doi: 10.1001/jamainternmed.2023.4192..
Keywords: Medication, Electronic Prescribing (E-Prescribing), Health Information Technology (HIT), Provider: Pharmacist
Rolfzen ML, Wick A, Mascha EJ
Best Practice Alerts Informed by Inpatient Opioid Intake to Reduce Opioid Prescribing after Surgery (PRIOR): a cluster randomized multiple crossover trial.
This study tested the hypothesis that a decision-support tool embedded in electronic health records (EHRs) leads clinicians to prescribe fewer opioids at discharge after inpatient surgery. Over 21,000 surgical inpatient discharges in a cluster randomized multiple crossover trial in four Colorado hospitals were included. The results indicated that within the context of vigorous opioid education and awareness efforts a decision-support tool incorporated into EHRs did not reduce discharge opioid prescribing for postoperative patients. The authors concluded that opioid prescribing alerts might be valuable in other contexts.
AHRQ-funded; HS027795.
Citation: Rolfzen ML, Wick A, Mascha EJ .
Best Practice Alerts Informed by Inpatient Opioid Intake to Reduce Opioid Prescribing after Surgery (PRIOR): a cluster randomized multiple crossover trial.
Anesthesiology 2023 Aug 1; 139(2):186-96. doi: 10.1097/aln.0000000000004607..
Keywords: Opioids, Medication, Surgery, Inpatient Care, Clinical Decision Support (CDS), Health Information Technology (HIT)
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
Zhang J, Kummerfield E, Hultman G
Application of causal discovery algorithms in studying the nephrotoxicity of remdesivir using longitudinal data from the EHR.
Researchers analyzed the role of remdesivir in the mechanism and optimal treatment of the development of acute kidney injury (AKI) in the setting of COVID. Applying causal discovery machine learning techniques, they built multifactorial causal models of COVID-AKI; risk factors and renal function measures were represented in a temporal sequence using longitudinal data from Electronic Health Records. Their results indicated a need for assessment of renal function on second- and third-day use of remdesivir, and also showed that remdesivir may pose less risk to AKI than existing conditions of chronic kidney disease.
AHRQ-funded; HS024532.
Citation: Zhang J, Kummerfield E, Hultman G .
Application of causal discovery algorithms in studying the nephrotoxicity of remdesivir using longitudinal data from the EHR.
AMIA Annu Symp Proc 2023 Apr 29; 2022:1227-36..
Keywords: COVID-19, Electronic Health Records (EHRs), Health Information Technology (HIT), Medication, Adverse Drug Events (ADE), Adverse Events
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
Lee AH, McEvoy DS, Stump T
Implementation of an electronic alert to improve timeliness of second dose antibiotics for patients with suspected serious infections in the emergency department: a quasi-randomized controlled trial.
This study analyzed the influence of clinical decision support (CDS) to prevent delays in second doses of broad-spectrum antibiotics in the emergency department (ED). The authors allocated adult patients who received cefepime or piperacillin/tazobactam in 9 EDs within an integrated health care system to an electronic alert that reminded ED clinicians to reorder antibiotics at the appropriate interval vs usual care. Primary outcome was a median delay in antibiotic administration, and secondary outcomes were rates of intensive care unit (ICU) admission, hospital mortality, and hospital length of stay. A total of 1,113 ED patients treated with cefepime or piperacillin/tazobactam were enrolled in the study, of whom 420 remained under ED care when their second dose was due. The electronic alert system was associated with reduced antibiotic delays, but there were no differences in ICU transfers, inpatient mortality, or hospital length of stay.
AHRQ-funded; HS027170.
Citation: Lee AH, McEvoy DS, Stump T .
Implementation of an electronic alert to improve timeliness of second dose antibiotics for patients with suspected serious infections in the emergency department: a quasi-randomized controlled trial.
Ann Emerg Med 2023 Apr;81(4):485-91. doi: 10.1016/j.annemergmed.2022.10.022.
Keywords: Antibiotics, Medication, Emergency Department, Clinical Decision Support (CDS), Health Information Technology (HIT)
Djulbegovic B, Hozo I, Lizarraga D
Evaluation of a fast-and-frugal clinical decision algorithm ('pathways') on clinical outcomes in hospitalised patients with COVID-19 treated with anticoagulants.
The objective of this study was to assess if delivery of anticoagulant prophylaxis according to an algorithm improved clinical outcomes in patients hospitalized with COVID-19 in comparison with anticoagulant treatment given at individual practitioners' discretion. Findings indicated that the algorithm did not reduce death, venous thromboembolism, nor major bleeding, but helped avoid longer hospital stay and admission to an intensive-care unit.
AHRQ-funded; HS024917.
Citation: Djulbegovic B, Hozo I, Lizarraga D .
Evaluation of a fast-and-frugal clinical decision algorithm ('pathways') on clinical outcomes in hospitalised patients with COVID-19 treated with anticoagulants.
J Eval Clin Pract 2023 Feb; 29(1):3-12. doi: 10.1111/jep.13780..
Keywords: COVID-19, Clinical Decision Support (CDS), Blood Thinners, Medication, Evidence-Based Practice, Health Information Technology (HIT)
Pruitt ZM, Kazi S, Weir C
A systematic review of quantitative methods for evaluating electronic medication administration record and bar-coded medication administration usability.
This systematic review’s objective was to identify the impact of electronic medication administration record (eMAR) and bar-coded medication administration (BCMA) on usability, operationalized as efficiency, effectiveness, and satisfaction. Out of 1,922 articles, 41 were included for data extraction. Twenty-four articles (58.5%) investigated BCMA only, 10 (24.4%) eMAR only, and seven (17.1%) both BCMA and eMAR, and 24 articles (58.5%) measured effectiveness, 8 (19.5%) efficiency, and 17 (41.5%) satisfaction. Of the 100 measures across the 41 articles, implementing BCMA and/or eMAR broadly resulted in an increase in measures of effectiveness (52.3%) and satisfaction (62.2%) compared to measures of efficiency (27.3%).
AHRQ-funded; HS025136.
Citation: Pruitt ZM, Kazi S, Weir C .
A systematic review of quantitative methods for evaluating electronic medication administration record and bar-coded medication administration usability.
Appl Clin Inform 2023 Jan;14(1):185-98. doi: 10.1055/s-0043-1761435.
Keywords: Medication, Health Information Technology (HIT)
Sun CJ, Shato T, Steinbaugh A
Virtual voices: examining social support exchanged through participant-generated and unmoderated content in a mobile intervention to improve HIV antiretroviral therapy adherence among GBMSM.
The goal of this study was to investigate how social support was provided and sought by gay, bisexual, and other men who have sex with men (GBMSM) within a technology-based antiretroviral therapy (ART) adherence intervention. Participants used the messaging feature in to discuss and exchange support around HIV treatment and care. The most salient HIV treatment and care issues were lab results, upcoming tests, ART adherence and side effects, regimen changes, and relationships with healthcare providers. The authors concluded that this analysis provided an opportunity to understand how participants informally interact with one another, how they seek and provide social support online, and their relevant personal issues.
AHRQ-funded; HS022981.
Citation: Sun CJ, Shato T, Steinbaugh A .
Virtual voices: examining social support exchanged through participant-generated and unmoderated content in a mobile intervention to improve HIV antiretroviral therapy adherence among GBMSM.
AIDS Care 2023 Jan;35(1):7-15. doi: 10.1080/09540121.2022.2038364.
Keywords: Patient Adherence/Compliance, Human Immunodeficiency Virus (HIV), Telehealth, Health Information Technology (HIT), Medication, Vulnerable Populations