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
Topics
- Adverse Events (3)
- Children/Adolescents (1)
- COVID-19 (1)
- (-) Diagnostic Safety and Quality (7)
- Emergency Department (1)
- Evidence-Based Practice (1)
- (-) Hospitals (7)
- Inpatient Care (4)
- Medical Errors (3)
- Outcomes (2)
- Patient-Centered Outcomes Research (2)
- Patient Safety (4)
- Provider Performance (1)
- Quality Improvement (3)
- Quality Indicators (QIs) (1)
- (-) Quality of Care (7)
- 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 DisplayedAuerbach AD, Lee TM, Hubbard CC
Diagnostic errors in hospitalized adults who died or were transferred to intensive care.
The objective of this retrospective cohort study was to determine the prevalence, underlying causes, and harms of diagnostic errors in hospitalized adults who were transferred to an intensive care unit or who died. Data was taken from 29 academic medical centers in the U.S. in a random sample of adults hospitalized with general medical conditions. Errors were found to have contributed to temporary harm, permanent harm, or death in nearly 18% of patients; among patients who died, diagnostic error was judged to have contributed to death in 6.6% of cases. The researchers noted that problems with choosing and interpreting tests and the processes involved with clinician assessment were a high priority for improvement efforts.
AHRQ-funded; HS027369.
Citation: Auerbach AD, Lee TM, Hubbard CC .
Diagnostic errors in hospitalized adults who died or were transferred to intensive care.
JAMA Intern Med 2024 Feb; 184(2):164-73. doi: 10.1001/jamainternmed.2023.7347..
Keywords: Diagnostic Safety and Quality, Medical Errors, Hospitals, Inpatient Care, Quality of Care, Patient Safety, Adverse Events
Dalal AK, Schnipper JL, Raffel K
Identifying and classifying diagnostic errors in acute care across hospitals: early lessons from the Utility of Predictive Systems in Diagnostic Errors (UPSIDE) study.
This paper describes the Utility of Predictive Systems in Diagnostic Errors (UPSIDE) study, whose aim was to define the prevalence and underlying causes of diagnostic errors (DEs) in patients who die in the hospital or are transferred to the intensive care unit (ICU) after the first 48 hours. This study was conducted at 31 hospitals with more than 2500 cases reviewed using electronic health records. The authors identified some insights into key requirements into building a robust DE surveillance program by developing these steps: 1) Develop a shared understanding of what constitutes a diagnostic error; 2) Use validated tools to identify diagnostic errors and classify process failures, but respect your context; 3) Develop a standard approach to using electronic health records for case reviews; 4) Ensure reliability and consistency of the case review process; and 5) Link diagnostic error case reviews to institutional safety programs. They also developed steps to establish a diagnosis error review process at the hospital level with six processes.
AHRQ-funded; HS027369; HS026613.
Citation: Dalal AK, Schnipper JL, Raffel K .
Identifying and classifying diagnostic errors in acute care across hospitals: early lessons from the Utility of Predictive Systems in Diagnostic Errors (UPSIDE) study.
J Hosp Med 2024 Feb; 19(2):140-45. doi: 10.1002/jhm.13136..
Keywords: Diagnostic Safety and Quality, Medical Errors, Adverse Events, Patient Safety, Quality of Care, Hospitals
Schnipper JL, Raffel KE, Keniston A
Achieving diagnostic excellence through prevention and teamwork (ADEPT) study protocol: a multicenter, prospective quality and safety program to improve diagnostic processes in medical inpatients.
This paper describes the protocol for a study that will build surveillance for hospital diagnostic errors into usual care, benchmark diagnostic performance across sites, pilot test interventions, and evaluate the program's impact on diagnostic error rates. The authors will test achieving diagnostic excellence through prevention and teamwork (ADEPT), a multicenter, real-world quality and safety program utilizing interrupted time-series techniques to evaluate outcomes. They will use a randomly sampled population of medical patients hospitalized at 16 US hospitals who died, were transferred to intensive care, or had a rapid response during the hospitalization. There will be surveillance for diagnostic errors on 10 events per month per site using a previously established two-person adjudication process. With guidance from national experts in quality and safety, study sites will report and benchmark diagnostic error rates, share lessons regarding underlying causes, and design, implement, and pilot test interventions using both Safety I and Safety II approaches aimed at patients, providers, and health systems. The primary outcome sought after will be the number of diagnostic errors per patient, using segmented multivariable regression to evaluate change in y-intercept and change in slope after initiation of the program.
AHRQ-funded; HS029366.
Citation: Schnipper JL, Raffel KE, Keniston A .
Achieving diagnostic excellence through prevention and teamwork (ADEPT) study protocol: a multicenter, prospective quality and safety program to improve diagnostic processes in medical inpatients.
J Hosp Med 2023 Dec; 18(12):1072-81. doi: 10.1002/jhm.13230..
Keywords: Diagnostic Safety and Quality, Patient Safety, Quality of Care, Hospitals, Inpatient Care
Auerbach AD, Astik GJ, O'Leary KJ
Prevalence and causes of diagnostic errors in hospitalized patients under investigation for COVID-19.
During the COVID-19 pandemic, clinicians were required to address a disease with continuously changing traits while simultaneously complying with changes in care (e.g., physical distancing) that could contribute to diagnostic errors (DEs). The purpose of this study was to examine the frequency of DEs and their causes in patients hospitalized under investigation (PUI) for COVID-19. The researchers randomly selected up to 8 cases per site per month for evaluation, with each case evaluated by two clinicians to determine whether a DE occurred, and whether any diagnostic process faults took place. The study found that wo hundred and fifty-seven patient charts were evaluated, of which 14% contained a DE. Patients with and without DE were statistically similar in socioeconomic factors, comorbidities, risk factors for COVID-19, and COVID-19 test turnaround time and eventual positivity. The most common diagnostic process issues contributing to DE were problems with clinical assessment, testing choices, history taking, and physical examination. Diagnostic process issues related with COVID-19 policies and procedures were not related with DE risk. 35.9% of patients with errors and 5.4% of patients overall suffered harm or death due to diagnostic error.
AHRQ-funded; HS027369.
Citation: Auerbach AD, Astik GJ, O'Leary KJ .
Prevalence and causes of diagnostic errors in hospitalized patients under investigation for COVID-19.
J Gen Intern Med 2023 Jun; 38(8):1902-10. doi: 10.1007/s11606-023-08176-6..
Keywords: COVID-19, Diagnostic Safety and Quality, Hospitals, Inpatient Care, Quality of Care
Marshall TL, Ipsaro AJ, Le M
Increasing physician reporting of diagnostic learning opportunities.
This study investigated methods to improve physician reporting of diagnostic errors at the pediatric division of a hospital. In that pediatric hospital medicine (PHM) division only 1 diagnostic-related safety event was reported in the preceding 4 years. The authors aimed to improve attending physician reporting of suspected diagnostic errors from 0 to 2 per 100 PHM patient admissions within 6 months. The improvement team used the Model for Improvement and used the term diagnostic learning opportunity (DLO) with clinicians as opposed to diagnostic error to lessen the stigma. They developed an electronic reporting form and encouraged its use through reminders, scheduled reflection time, and monthly progress reports. Over the course of 13 weeks, there was an increase from 0 to 1.6 per patient admission reports files. Most events (66%) were true diagnostic errors.
AHRQ-funded; HS023827.
Citation: Marshall TL, Ipsaro AJ, Le M .
Increasing physician reporting of diagnostic learning opportunities.
Pediatrics 2021 Jan;147(1). doi: 10.1542/peds.2019-2400..
Keywords: Children/Adolescents, Diagnostic Safety and Quality, Medical Errors, Adverse Events, Patient Safety, Hospitals, Quality Improvement, Quality of Care
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
Keshvani N, Berger K, Gupta A
Improving respiratory rate accuracy in the hospital: a quality improvement initiative.
Researchers initiated a quality improvement (QI) initiative in hospitals to improve respiratory rate measurement accuracy. Time-keeping devices were added to vital sign carts and patient care assistants were retrained on a newly modified workflow that included concomitant respiratory rate (RR) measurement during automated blood pressure measurement. The median RR measurement rate increased postintervention. This intervention was associated with a 7.8% reduced incidence of tachypnea-specific systemic inflammatory response syndrome. This QI initiative was interdisciplinary, low-cost, and low-tech.
AHRQ-funded; HS022418.
Citation: Keshvani N, Berger K, Gupta A .
Improving respiratory rate accuracy in the hospital: a quality improvement initiative.
J Hosp Med 2019 Nov 1;14(10):673-77. doi: 10.12788/jhm.3232..
Keywords: Patient-Centered Outcomes Research, Quality Improvement, Inpatient Care, Diagnostic Safety and Quality, Hospitals, Quality of Care, Outcomes