National Healthcare Quality and Disparities Report
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AHRQ Research Studies Date
Topics
- Adverse Drug Events (ADE) (4)
- Adverse Events (5)
- Blood Clots (2)
- Blood Pressure (1)
- Blood Thinners (1)
- Children/Adolescents (1)
- Chronic Conditions (1)
- Communication (1)
- Comparative Effectiveness (1)
- Diabetes (1)
- Diagnostic Safety and Quality (1)
- Elderly (1)
- Electronic Health Records (EHRs) (2)
- Electronic Prescribing (E-Prescribing) (2)
- Emergency Department (1)
- Health Information Technology (HIT) (3)
- Hospital Discharge (1)
- Medical Errors (1)
- Medication (5)
- Medication: Safety (5)
- Opioids (1)
- (-) Patient Safety (8)
- Provider (1)
- Provider: Clinician (1)
- (-) Risk (8)
- Surgery (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 8 of 8 Research Studies DisplayedHerzig SJ, Anderson TS, Jung Y
Relative risks of adverse events among older adults receiving opioids versus NSAIDs after hospital discharge: a nationwide cohort study.
This retrospective cohort study’s objective was to determine the incidence and risk of post-discharge adverse events among opioid claims in the week after hospital discharge, compared to those with nonsteroidal anti-inflammatory drugs (NSAIDs) claims alone. A national sample of Medicare beneficiaries age 65 and older who were hospitalized in the United States in 2016 was used. Beneficiaries who were admitted from or discharged to a facility were excluded. The authors used 3:1 propensity matching to match beneficiaries with an opioid claim in the week after discharge (13,385) with beneficiaries with NSAID claim alone (4,677). Beneficiaries receiving opioids had a higher incidence of death, healthcare utilization, and any potential adverse effect compared to those with an NSAID claim only. Specific adverse effects included higher relative risk of fall/fracture, nausea/vomiting, and slowed colonic motility.
AHRQ-funded; HS026215.
Citation: Herzig SJ, Anderson TS, Jung Y .
Relative risks of adverse events among older adults receiving opioids versus NSAIDs after hospital discharge: a nationwide cohort study.
PLoS Med 2021 Sep 27;18(9):e1003804. doi: 10.1371/journal.pmed.1003804..
Keywords: Elderly, Opioids, Medication, Medication: Safety, Adverse Drug Events (ADE), Adverse Events, Patient Safety, Risk, Hospital Discharge
Xu X, Desai VB, Wright JD
Hospital variation in responses to safety warnings about power morcellation in hysterectomy.
This study aimed to examine whether hospitals varied in their use of laparoscopic supracervical hysterectomy after safety warnings about power morcellation and compare the risk of surgical complications at hospitals that had different response trajectories in use of laparoscopic supracervical hysterectomy. The investigators found that hospitals varied in their use of laparoscopic supracervical hysterectomy after safety warnings about power morcellation. Complication risk increased at hospitals that shifted considerably toward open abdominal hysterectomy.
AHRQ-funded; HS024702.
Citation: Xu X, Desai VB, Wright JD .
Hospital variation in responses to safety warnings about power morcellation in hysterectomy.
Am J Obstet Gynecol 2021 Jun;224(6):589.e1-89.e13. doi: 10.1016/j.ajog.2020.12.1207..
Keywords: Patient Safety, Surgery, Risk, Women
Enayati M, Sir M, Zhang X
Monitoring diagnostic safety risks in emergency departments: protocol for a machine learning study.
This study’s objective will be to identify variables associated with diagnostic errors in emergency departments using large-scale EHR data and machine learning techniques. It will use trigger algorithms with electronic health record (EHR) data repositories to generate a large data set of records that are labeled trigger-positive or trigger-negative, depending on if they meet certain criteria. This study will be conducted by 2 academic medical centers with affiliated community hospitals.
AHRQ-funded; HS027363; HS026622.
Citation: Enayati M, Sir M, Zhang X .
Monitoring diagnostic safety risks in emergency departments: protocol for a machine learning study.
JMIR Res Protoc 2021 Jun 14;10(6):e24642. doi: 10.2196/24642..
Keywords: Emergency Department, Diagnostic Safety and Quality, Patient Safety, Risk, Electronic Health Records (EHRs), 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
Herrin J, Abraham NS, Yao X
Comparative effectiveness of machine learning approaches for predicting gastrointestinal bleeds in patients receiving antithrombotic treatment.
The purpose of this retrospective cross-sectional study was to compare the performance of 3 machine learning approaches with the commonly-used HAS-BLED (hypertension, abnormal kidney and liver function, stroke, bleeding, labile international normalized ratio, older age, and drug or alcohol use) risk score in predicting antithrombotic-related gastrointestinal bleeding (GIB). The machine-learning models were regularized Cox proportional hazards regression (RegCox), random survival forests, and extreme gradient boosting (XGBoost). Findings showed that the machine learning models revealed similar performance in identifying patients at high risk for GIB after being prescribed antithrombotic agents. Two models (RegCox and XGBoost) performed modestly better than the HAS-BLED score.
AHRQ-funded; HS025402.
Citation: Herrin J, Abraham NS, Yao X .
Comparative effectiveness of machine learning approaches for predicting gastrointestinal bleeds in patients receiving antithrombotic treatment.
JAMA Netw Open 2021 May;4(5):e2110703. doi: 10.1001/jamanetworkopen.2021.10703..
Keywords: Blood Thinners, Medication, Risk, Adverse Drug Events (ADE), Adverse Events, Medication: Safety, Patient Safety, Comparative Effectiveness
Schlick CJR, Yuce TK, Yang AD
A postdischarge venous thromboembolism risk calculator for inflammatory bowel disease surgery.
Guidelines recommend extended chemoprophylaxis for venous thromboembolism in high-risk patients having operations for inflammatory bowel disease. Quantifying patients' risk of venous thromboembolism, however, remains challenging. In this study, the investigators sought (1) to identify factors associated with postdischarge venous thromboembolism in patients undergoing colorectal resection for inflammatory bowel disease and (2) to develop a postdischarge venous thromboembolism risk calculator to guide prescribing of extended chemoprophylaxis.
AHRQ-funded; HS024516; HS000078; HS026385.
Citation: Schlick CJR, Yuce TK, Yang AD .
A postdischarge venous thromboembolism risk calculator for inflammatory bowel disease surgery.
Surgery 2021 Feb;169(2):240-47. doi: 10.1016/j.surg.2020.09.006..
Keywords: Blood Clots, Adverse Events, Patient Safety, Surgery, Risk
Horton DB, Xie F, Chen L
Oral glucocorticoids and incident treatment of diabetes mellitus, hypertension, and venous thromboembolism in children.
The purpose of this study was to quantify rates of incident treatment for diabetes mellitus, hypertension, and venous thromboembolism (VTE) associated with oral glucocorticoid exposure in children aged 1-18 years. Participants were identified using US Medicaid claims data and included more than 930,000 children diagnosed with autoimmune diseases or a nonimmune comparator condition. Findings showed strong dose-dependent relationships between current glucocorticoid exposure and all outcomes, suggesting strong relative risks, but low absolute risks, of newly-treated VTE, diabetes, and especially hypertension in children taking high-dose oral glucocorticoids.
AHRQ-funded; HS021110.
Citation: Horton DB, Xie F, Chen L .
Oral glucocorticoids and incident treatment of diabetes mellitus, hypertension, and venous thromboembolism in children.
Am J Epidemiol 2021 Feb 1;190(3):403-12. doi: 10.1093/aje/kwaa197..
Keywords: Children/Adolescents, Diabetes, Chronic Conditions, Blood Clots, Medication: Safety, Medication, Adverse Drug Events (ADE), Adverse Events, Risk, Patient Safety, Blood Pressure
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