National Healthcare Quality and Disparities Report
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AHRQ Research Studies Date
Topics
- Adverse Drug Events (ADE) (9)
- Adverse Events (9)
- Ambulatory Care and Surgery (1)
- Antibiotics (3)
- Antimicrobial Stewardship (2)
- Blood Thinners (1)
- Cancer (1)
- Caregiving (1)
- Children/Adolescents (1)
- Chronic Conditions (1)
- Clinical Decision Support (CDS) (3)
- Communication (1)
- Electronic Health Records (EHRs) (5)
- Electronic Prescribing (E-Prescribing) (4)
- Healthcare Costs (1)
- (-) Health Information Technology (HIT) (17)
- Hospitalization (1)
- Medical Errors (7)
- (-) Medication (17)
- Medication: Safety (10)
- Opioids (1)
- Pain (1)
- Patient Adherence/Compliance (2)
- Patient Safety (11)
- Prevention (1)
- Primary Care (1)
- Provider (4)
- Provider: Clinician (1)
- Provider: Pharmacist (4)
- Risk (2)
- Shared Decision Making (2)
- Telehealth (4)
- Transplantation (2)
- Treatments (1)
- Young Adults (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 17 of 17 Research Studies DisplayedLi LX, Szymczak JE, Keller SC
Antibiotic stewardship in direct-to-consumer telemedicine: translating interventions into the virtual realm.
This article discusses using the core elements for outpatient antibiotic stewardship as a framework for direct-to-consumer (DTC) telemedicine. There is limited scholarship regarding adapting and implementing antibiotic stewardship principles in this setting. The authors discussed utilizing the core elements for outpatient antibiotic stewardship as a framework for efforts moving forward.
AHRQ-funded; HS027819.
Citation: Li LX, Szymczak JE, Keller SC .
Antibiotic stewardship in direct-to-consumer telemedicine: translating interventions into the virtual realm.
J Antimicrob Chemother 2021 Dec 24;77(1):13-15. doi: 10.1093/jac/dkab371..
Keywords: Antibiotics, Antimicrobial Stewardship, Medication, Telehealth, Health Information Technology (HIT)
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
Schirle L, Jeffery A, Yaqoob A
Two data-driven approaches to identifying the spectrum of problematic opioid use: a pilot study within a chronic pain cohort.
Although electronic health records (EHR) have significant potential for the study of opioid use disorders (OUD), detecting OUD in clinical data is challenging. Models using EHR data to predict OUD often rely on case/control classifications focused on extreme opioid use. IN this study, the investigators discussed two data-driven approaches to identifying the spectrum of problematic opioid use. The investigators concluded that risk scores comprising comorbidities and text offer differing but synergistic insights into characterizing problematic opioid use.
AHRQ-funded; HS026395.
Citation: Schirle L, Jeffery A, Yaqoob A .
Two data-driven approaches to identifying the spectrum of problematic opioid use: a pilot study within a chronic pain cohort.
Int J Med Inform 2021 Dec;156:104621. doi: 10.1016/j.ijmedinf.2021.104621..
Keywords: Opioids, Pain, Chronic Conditions, Medication, Health Information Technology (HIT)
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
Ridgway JP, Robicsek A, Shah N
A randomized controlled trial of an electronic clinical decision support tool for inpatient antimicrobial stewardship.
The weighted incidence syndromic combination antibiogram (WISCA) is an antimicrobial stewardship tool that utilizes electronic medical record data to provide real-time clinical decision support regarding empiric antibiotic prescription in the hospital setting. The aim of this study was to determine the impact of WISCA utilization for empiric antibiotic prescription on hospital length of stay (LOS).
AHRQ-funded; HS022283.
Citation: Ridgway JP, Robicsek A, Shah N .
A randomized controlled trial of an electronic clinical decision support tool for inpatient antimicrobial stewardship.
Clin Infect Dis 2021 May 4;72(9):e265-e71. doi: 10.1093/cid/ciaa1048..
Keywords: Antimicrobial Stewardship, Antibiotics, Medication, Clinical Decision Support (CDS), Shared Decision Making, Health Information Technology (HIT)
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
Heneghan MB, Hussain T, Barrera L
Access to technology and preferences for an mHealth intervention to promote medication adherence in pediatric acute lymphoblastic leukemia: approach leveraging behavior change techniques.
This study’s objectives were to examine access to mobile technology and preferences for an mHealth intervention to improve medication adherence in pediatric acute lymphoblastic leukemia (ALL). Parents of children with ALL as well as adolescents and young adults (AYAs) with ALL who received maintenance chemotherapy were given a cross-sectional survey. Findings showed that parents, adolescents, and AYAs reported ubiquitous access to mobile technology and strong interest in multiple adherence-specific mHealth app features. Parents and AYAs provided valuable insight into preferred features for a multifunctional behavioral intervention to promote medication adherence in pediatric ALL.
AHRQ-funded; HS023011.
Citation: Heneghan MB, Hussain T, Barrera L .
Access to technology and preferences for an mHealth intervention to promote medication adherence in pediatric acute lymphoblastic leukemia: approach leveraging behavior change techniques.
J Med Internet Res 2021 Feb 18;23(2):e24893. doi: 10.2196/24893..
Keywords: Children/Adolescents, Young Adults, Caregiving, Cancer, Medication, Patient Adherence/Compliance, Health Information Technology (HIT), Treatments
Snyder ME, Chewning B, Kreling D
An evaluation of the spread and scale of PatientToc™ from primary care to community pharmacy practice for the collection of patient-reported outcomes: a study protocol.
Patient-reported outcomes (PROs), measuring adherence challenges pertaining to both remembering and intention to take medication, offer a rich data source for pharmacists and prescribers to use to resolve medication non-adherence. PatientToc™ is a PROs collection software developed to facilitate collection of PROs data from low-literacy and non-English speaking patients in Los Angeles. This study evaluated the spread and scale of PatientToc™ from primary care to community pharmacies for the collection and use of PROs data pertaining to medication adherence.
AHRQ-funded; HS025943.
Citation: Snyder ME, Chewning B, Kreling D .
An evaluation of the spread and scale of PatientToc™ from primary care to community pharmacy practice for the collection of patient-reported outcomes: a study protocol.
Res Social Adm Pharm 2021 Feb;17(2):466-74. doi: 10.1016/j.sapharm.2020.03.019..
Keywords: Medication, Patient Adherence/Compliance, Primary Care, Provider: Pharmacist, Provider, 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
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