National Healthcare Quality and Disparities Report
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AHRQ Research Studies Date
Topics
- Blood Clots (1)
- Children/Adolescents (3)
- Clinical Decision Support (CDS) (1)
- Diagnostic Safety and Quality (2)
- Digestive Disease and Health (1)
- Elderly (2)
- Electronic Health Records (EHRs) (1)
- (-) Emergency Department (9)
- Falls (1)
- Health Information Technology (HIT) (3)
- Hospitalization (1)
- Hospital Readmissions (1)
- Infectious Diseases (1)
- Medical Errors (1)
- Patient Safety (1)
- Respiratory Conditions (1)
- (-) Risk (9)
- Sepsis (1)
- Shared Decision Making (1)
- Surgery (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 9 of 9 Research Studies DisplayedHaimovich AD, Shah MN, Southerland LT
Automating risk stratification for geriatric syndromes in the emergency department.
This study discussed using automated risk stratification to implement screening programs for geriatric syndromes in the emergency department (ED). This method would reduce significant workloads at a time of record-breaking ED patient volumes, staff shortages, and hospital boarding crises. The authors defined the concept of automated risk stratification and screening using existing electronic health record (EHR) data. They discussed progress made in three potential use cases in the ED: falls, cognitive impairment, and end-of-life and palliative care; emphasizing the importance of linking automated screening with systems of healthcare delivery. They found that research progress and operational deployment vary by use case, ranging from deployed solutions in falls screening to algorithmic validation in cognitive impairment and end-of-life care, but should still be considered a potential solution.
AHRQ-funded; HS027735.
Citation: Haimovich AD, Shah MN, Southerland LT .
Automating risk stratification for geriatric syndromes in the emergency department.
J Am Geriatr Soc 2024 Jan; 72(1):258-67. doi: 10.1111/jgs.18594..
Keywords: Elderly, Emergency Department, Risk, Health Information Technology (HIT)
Jacobsohn GC, Leaf M, Liao F
Collaborative design and implementation of a clinical decision support system for automated fall-risk identification and referrals in emergency departments.
The authors used a collaborative and iterative approach to design and implement an automated clinical decision support system (CDS) for Emergency Department (ED) providers to identify and refer older adult ED patients at high risk of future falls. The system was developed using collaborative input from an interdisciplinary design team and integrated seamlessly into existing ED workflows. A key feature of development was the unique combination of patient experience strategies, human-centered design, and implementation science, which allowed for the CDS tool and intervention implementation strategies to be designed simultaneously. Challenges included: usability problems, data inaccessibility, time constraints, low appointment availability, high volume of patients, and others. The study concluded that using the collaborative, iterative approach was successful in achieving all project goals, and could be applied to other cases.
AHRQ-funded; HS024558.
Citation: Jacobsohn GC, Leaf M, Liao F .
Collaborative design and implementation of a clinical decision support system for automated fall-risk identification and referrals in emergency departments.
Healthc 2022 Mar;10(1):100598. doi: 10.1016/j.hjdsi.2021.100598..
Keywords: Elderly, Clinical Decision Support (CDS), Shared Decision Making, Falls, Risk, Emergency Department, Health Information Technology (HIT)
Zhang NJ, Rameau P, Julemis M
Automated pulmonary embolism risk assessment using the Wells criteria: validation study.
The authors sought to create an automated process to calculate the Wells score for pulmonary embolism for emergency department patients, which might reduce unnecessary computed tomography pulmonary angiography (CTPA) testing. They designed the process using electronic health records data elements, including free-text fields, and calculated Wells scores for a sample of adult emergency department visits that resulted in a CTPA study for pulmonary embolism at two tertiary care hospitals in New York. After validation, the authors concluded that the development of the automated process to classify risk for pulmonary embolism in emergency department visits was successful.
AHRQ-funded; HS026196.
Citation: Zhang NJ, Rameau P, Julemis M .
Automated pulmonary embolism risk assessment using the Wells criteria: validation study.
JMIR Form Res 2022 Feb 28;6(2):e32230. doi: 10.2196/32230.
Keywords: Blood Clots, Respiratory Conditions, Risk, Emergency Department
Smulowitz PB, Burke RC, Ostrovsky D
Attitudes toward risk among emergency physicians and advanced practice clinicians in Massachusetts.
Risk aversion is a personality trait influential to decision making in medicine. Little is known about how emergency department (ED) clinicians differ in their attitudes toward risk taking. In this study, the investigators conducted a cross-sectional survey of practicing ED clinicians (physicians and advanced practice clinicians [APCs]) in Massachusetts using the following 4 existing validated scales: the Risk-Taking Scale (RTS), Stress from Uncertainty Scale (SUS), the Fear of Malpractice Scale (FMS), and the Need for (Cognitive) Closure Scale (NCC).
AHRQ-funded; HS26730.
Citation: Smulowitz PB, Burke RC, Ostrovsky D .
Attitudes toward risk among emergency physicians and advanced practice clinicians in Massachusetts.
J Am Coll Emerg Physicians Open 2021 Oct;2(5):e12573. doi: 10.1002/emp2.12573..
Keywords: Emergency Department, Risk
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)
Cifra CL, Westlund E, Ten Eyck P
An estimate of missed pediatric sepsis in the emergency department.
AHRQ-funded; HS025753.
Citation: Cifra CL, Westlund E, Ten Eyck P .
An estimate of missed pediatric sepsis in the emergency department.
Diagnosis 2021;8(2):193-98. doi: 10.1515/dx-2020-0023..
Keywords: Children/Adolescents, Sepsis, Emergency Department, Diagnostic Safety and Quality, Medical Errors, Risk
Lin CY, Xie J, Freedman SB
Predicting adverse outcomes for Shiga toxin-producing Escherichia coli infections in emergency departments.
Investigators assessed the performance of a hemolytic uremic syndrome (HUS) severity score among children with Shiga toxin-producing Escherichia coli (STEC) infections and HUS by stratifying them according to their risk of adverse events. They found that the HUS severity score was able to discriminate between high- and low-risk children less than 5 years old with STEC-associated HUS at a statistically acceptable level; however, it did not appear to provide clinical benefit at a meaningful risk threshold.
AHRQ-funded; HS026503.
Citation: Lin CY, Xie J, Freedman SB .
Predicting adverse outcomes for Shiga toxin-producing Escherichia coli infections in emergency departments.
J Pediatr 2021 May;232:200-06.e4. doi: 10.1016/j.jpeds.2020.12.077..
Keywords: Children/Adolescents, Infectious Diseases, Emergency Department, Risk
Daymont C, Balamuth F, Scott HF
Elevated heart rate and risk of revisit with admission in pediatric emergency patients.
This study examines whether emergency department (ED) heart rate (HR) values can identify children at elevated risk of ED revisit with admission. The authors performed a retrospective cohort study of children ages 0-18 years discharged from a tertiary-care pediatric ED from 2013 to 2014. They created percentile curves for the last recorded HR for age using data from calendar year 2013 and used receiver operating characteristic (ROC) curves to characterize the performance of the percentiles for predicting ED revisit with admission within 72 hours. They evaluated 183,433 eligible ED visits and found that the last recorded HR for age had poor discrimination for predicting revisit with admission.
AHRQ-funded; HS023827.
Citation: Daymont C, Balamuth F, Scott HF .
Elevated heart rate and risk of revisit with admission in pediatric emergency patients.
Pediatr Emerg Care 2021 Apr;37(4):e185-e91. doi: 10.1097/pec.0000000000001552..
Keywords: Children/Adolescents, Emergency Department, Risk, Hospitalization
Lumpkin ST, Mihas P, Baldwin X
Surgical patient values frame and modify the impact of risk factors for non-routine postdischarge care: a mixed-methods study.
This mixed methods study looked at patient perspectives on risk factors of non-routine postdischarge care (emergency department visit or rehospitalization) for adult colorectal surgery patients. Surgery patients were identified from hospital records from 2017 to 2018. The authors enrolled 258 participants, surveyed 167, and interviewed 18. Depressive symptoms were found to be one of the many risk factors confirmed to increase non-routine health utilization.
AHRQ-funded; HS026363.
Citation: Lumpkin ST, Mihas P, Baldwin X .
Surgical patient values frame and modify the impact of risk factors for non-routine postdischarge care: a mixed-methods study.
Am J Surg 2021 Jan;221(1):195-203. doi: 10.1016/j.amjsurg.2020.05.016..
Keywords: Digestive Disease and Health, Surgery, Risk, Hospital Readmissions, Emergency Department