National Healthcare Quality and Disparities Report
Latest available findings on quality of and access to health care
Data
- Data Infographics
- Data Visualizations
- Data Tools
- Data Innovations
- All-Payer Claims Database
- Healthcare Cost and Utilization Project (HCUP)
- Medical Expenditure Panel Survey (MEPS)
- AHRQ Quality Indicator Tools for Data Analytics
- State Snapshots
- United States Health Information Knowledgebase (USHIK)
- Data Sources Available from AHRQ
Search All Research Studies
AHRQ Research Studies Date
Topics
- Clinical Decision Support (CDS) (2)
- COVID-19 (1)
- Decision Making (3)
- (-) Diagnostic Safety and Quality (7)
- (-) Emergency Department (7)
- Evidence-Based Practice (2)
- Guidelines (1)
- Health Information Technology (HIT) (1)
- Hospitals (1)
- Imaging (3)
- Influenza (1)
- Outcomes (1)
- Patient-Centered Outcomes Research (1)
- Pneumonia (1)
- Provider Performance (1)
- Quality Improvement (2)
- Quality Indicators (QIs) (2)
- Quality Measures (1)
- Quality of Care (2)
- Respiratory Conditions (2)
- Stroke (1)
AHRQ Research Studies
Sign up: AHRQ Research Studies Email updates
Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
Results
1 to 7 of 7 Research Studies DisplayedJoshi RP, Pejaver V, Hammarlund NE
A predictive tool for identification of SARS-CoV-2 PCR-negative emergency department patients using routine test results.
This retrospective case-control study investigated whether the use of a prediction tool based on complete blood count results and patient sex can better allocate testing for SARS-CoV-2 PCR testing in hospital emergency departments. Participants were emergency department patients who had concurrent complete blood counts and SARS-CoV-2 PCR testing in Northern California, Seattle, Washington, Chicago Illinois, and South Korea. A hypothetical scenario of 1000 patients requiring testing was developed, but in this scenario testing resources are limited to 60% of patients. This tool would allow a 33% increase in properly allocated resources.
AHRQ-funded; HS026385.
Citation: Joshi RP, Pejaver V, Hammarlund NE .
A predictive tool for identification of SARS-CoV-2 PCR-negative emergency department patients using routine test results.
J Clin Virol 2020 Aug;129:104502. doi: 10.1016/j.jcv.2020.104502..
Keywords: Emergency Department, COVID-19, Pneumonia, Respiratory Conditions, Diagnostic Safety and Quality, Clinical Decision Support (CDS)
Schoenfeld EM, Houghton C, Patel PM
Shared decision making in patients with suspected uncomplicated ureterolithiasis: a decision aid development study.
The objective of this study was to develop a decision aid (DA) to facilitate shared decision making (SDM) around whether to obtain computed tomography (CT) imaging in patients presenting to the emergency department (ED) with suspected uncomplicated ureterolithiasis. Using stakeholder engagement and qualitative inquiry, the investigators developed their evidence-based DA. They indicated that future research will test the efficacy of the DA in facilitating SDM.
AHRQ-funded; HS025701.
Citation: Schoenfeld EM, Houghton C, Patel PM .
Shared decision making in patients with suspected uncomplicated ureterolithiasis: a decision aid development study.
Acad Emerg Med 2020 Jul;27(7):554-65. doi: 10.1111/acem.13917..
Keywords: Decision Making, Emergency Department, Imaging, Diagnostic Safety and Quality
Carayon P, Hoonakker P, Hundt AS
Application of human factors to improve usability of clinical decision support for diagnostic decision-making: a scenario-based simulation study.
This study used a scenario-based simulation to compare a human factor (HF)-based clinician decision support (CDS) with a web-based CDS (MDCalc) for clinicians to diagnose pulmonary embolism (PE) in the emergency department. A total of 32 emergency physicians participated using both CDS types. Emergency physicians made more appropriate diagnoses decisions with the PE-Dx CDS (94%) than with the web-based CDS (84%). Experimental tasks were also performed faster (average 96 seconds per scenario versus 117 seconds). They also reported lower workload and higher satisfaction with the HF-based CDS.
AHRQ-funded; HS024342; HS024558; HS022086.
Citation: Carayon P, Hoonakker P, Hundt AS .
Application of human factors to improve usability of clinical decision support for diagnostic decision-making: a scenario-based simulation study.
BMJ Qual Saf 2020 Apr;29(4):329-40. doi: 10.1136/bmjqs-2019-009857..
Keywords: Clinical Decision Support (CDS), Decision Making, Health Information Technology (HIT), Diagnostic Safety and Quality, Emergency Department
Thiessen M, Vogel JA, Byyny RL
Emergency ultrasound literature and adherence to standards for reporting of diagnostic accuracy criteria.
Given the wide usage of emergency point-of-care ultrasound (EUS) among emergency physicians (EPs), rigorous study surrounding its accuracy is essential. The Standards for Reporting of Diagnostic Accuracy (STARD) criteria were established to ensure robust reporting methodology for diagnostic studies. Adherence to the STARD criteria among EUS diagnostic studies has yet to be reported. In this study, the objective was to evaluate a body of EUS literature shortly after STARD publication for its baseline adherence to the STARD criteria.
AHRQ-funded; HS023901.
Citation: Thiessen M, Vogel JA, Byyny RL .
Emergency ultrasound literature and adherence to standards for reporting of diagnostic accuracy criteria.
J Emerg Med 2020 Apr;58(4):636-46. doi: 10.1016/j.jemermed.2019.09.029..
Keywords: Imaging, Emergency Department, Diagnostic Safety and Quality
Kocher KE, Arora R, Bassin BS
Baseline performance of real-world clinical practice within a statewide emergency medicine quality network: the Michigan Emergency Department Improvement Collaborative (MEDIC).
The Michigan Emergency Department Improvement Collaborative (MEDIC) has baseline performance data to identify practice variation across 15 diverse emergency departments on key emergency care quality indicators. The authors assessed MEDIC quality measures and found that performance varied greatly, with demonstrated opportunity for improvement. They conclude that MEDIC provides a robust platform for emergency physician engagement across emergency department practice settings to improve care and is a model for other states.
AHRQ-funded; HS024160.
Citation: Kocher KE, Arora R, Bassin BS .
Baseline performance of real-world clinical practice within a statewide emergency medicine quality network: the Michigan Emergency Department Improvement Collaborative (MEDIC).
Ann Emerg Med 2020 Feb;75(2):192-205. doi: 10.1016/j.annemergmed.2019.04.033..
Keywords: Emergency Department, Quality Improvement, Quality Indicators (QIs), Quality Measures, Quality of Care, Imaging, Diagnostic Safety and Quality
Colton K, Richards CT, Pruitt PB
Early stroke recognition and time-based emergency care performance metrics for intracerebral hemorrhage.
This study compared time for early stroke recognition for intracerebral hemorrhage for hospitals with and without stroke teams. An observational cohort study was conducted at an urban comprehensive stroke center from 2009 to 2017 with 204 cases included. Stroke team activation resulted in faster emergency care compared to no activation. This process resulted in shorter onset-to-arrival times, higher NIH Stroke Scale scores, and higher Glasgow Coma Scale scores.
AHRQ-funded; HS023437.
Citation: Colton K, Richards CT, Pruitt PB .
Early stroke recognition and time-based emergency care performance metrics for intracerebral hemorrhage.
J Stroke Cerebrovasc Dis 2020 Feb;29(2):104552. doi: 10.1016/j.jstrokecerebrovasdis.2019.104552..
Keywords: Stroke, Emergency Department, Provider Performance, Diagnostic Safety and Quality, Quality Improvement, Quality Indicators (QIs), Patient-Centered Outcomes Research, Outcomes, Quality of Care, Evidence-Based Practice, Hospitals
Dugas AF, Hsieh YH, LoVecchio F
Derivation and validation of a clinical decision guideline for influenza testing in 4 US emergency departments.
This study looked at which patients should be tested for influenza among adult emergency department (ED) patients with fever or respiratory symptoms who met criteria for antiviral treatment per 2013 CDC guidelines. A prospective cohort study was conducted at 4 US EDs from November 2013 to April 2014. All 1941 enrolled participants were tested for influenza using polymerase chain reaction (PCR), and 183 patients (9.4%) had influenza. The CDC clinical decision guidelines (CDGs) for influenza testing includes new or increased cough (2 points), headache (1 point), subjective fever (1 point), and triage temperature >100.4F degrees. The CDG had a sensitivity and specificity of 94.1% and 36.6% respectively in the derivation set and the validation set.
AHRQ-funded; HS009699.
Citation: Dugas AF, Hsieh YH, LoVecchio F .
Derivation and validation of a clinical decision guideline for influenza testing in 4 US emergency departments.
Clin Infect Dis 2020 Jan;70(1):49-58. doi: 10.1093/cid/ciz171..
Keywords: Guidelines, Decision Making, Influenza, Respiratory Conditions, Emergency Department, Evidence-Based Practice, Diagnostic Safety and Quality