National Healthcare Quality and Disparities Report
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- Adverse Events (6)
- Children/Adolescents (4)
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- Critical Care (1)
- Dementia (1)
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- Provider: Clinician (1)
- Provider Performance (1)
- Quality Improvement (3)
- Quality Indicators (QIs) (2)
- Quality of Care (7)
- Racial and Ethnic Minorities (1)
- Stroke (1)
- Surgery (1)
- Training (1)
- 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 19 of 19 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
Hasegawa S, Livorsi DJ, Perencevich EN S, Livorsi DJ, Perencevich EN
Diagnostic accuracy of hospital antibiograms in predicting the risk of antimicrobial resistance in enterobacteriaceae isolates: a nationwide multicenter evaluation at the Veterans Health Administration.
This study examined the effectiveness of an antibiogram to predict antimicrobial resistance (AMR) at the patient-level for Escherichia coli and Klebsiella spp. The authors retrospectively generated hospital antibiograms for the nationwide Veterans Health Administration (VHA) facilities from 2000 to 2019 using all clinical culture specimens positive for E. coli and Klebsiella spp., then assessed the diagnostic accuracy of an antibiogram to predict resistance for isolates in the following calendar year using logistic regression models and predefined 5-step interpretation thresholds. At 127 VHA facilities, the discrimination abilities of hospital-level antibiograms in predicting individual patient AMR were mostly poor, with the areas under the receiver operating curve at 0.686 and 0.715 for ceftriaxone, 0.637 and 0.675 for fluoroquinolones, and 0.576 and 0.624 for trimethoprim-sulfamethoxazole, respectively.
AHRQ-funded; HS027472.
Citation: Hasegawa S, Livorsi DJ, Perencevich EN S, Livorsi DJ, Perencevich EN .
Diagnostic accuracy of hospital antibiograms in predicting the risk of antimicrobial resistance in enterobacteriaceae isolates: a nationwide multicenter evaluation at the Veterans Health Administration.
Clin Infect Dis 2023 Nov 30; 77(11):1492-500. doi: 10.1093/cid/ciad467..
Keywords: Diagnostic Safety and Quality, Hospitals
Gupta AB, Greene MT, Fowler KE
Associations between hospitalist shift busyness, diagnostic confidence, and resource utilization: a pilot study.
Hospitalists are frequently attending to multiple tasks when overseeing patient care, and patients are at risk for diagnostic errors. The purpose of this single-center, prospective, pilot observational study was to measure hospitalist workload and examine its influences on diagnostic performance in a real-world clinical setting. The researchers had hospitalists admitting new patients to the hospital complete an abbreviated Mindful Attention Awareness Tool and a survey on diagnostic confidence upon shift completion. Complete data were available for 37 unique hospitalists who admitted 160 unique patients. The study found that increases in admissions and pages were related with higher odds of hospitalists reporting it was "difficult to focus on what is happening in the present." Increased pages was associated with a decrease in the number of differential diagnoses listed.
AHRQ-funded; HS024385; HS025891.
Citation: Gupta AB, Greene MT, Fowler KE .
Associations between hospitalist shift busyness, diagnostic confidence, and resource utilization: a pilot study.
J Patient Saf 2023 Oct 1; 19(7):447-52. doi: 10.1097/pts.0000000000001157..
Keywords: Hospitals, Diagnostic Safety and Quality, Patient Safety
Zhu Y, Wang Z, Newman-Toker D
Misdiagnosis-related harm quantification through mixture models and harm measures.
Investigating and monitoring misdiagnosis-related harm utilizing the traditional chart review process is labor intensive, potentially unstable, and not conducive to scaling. Researchers propose to leverage the association between symptoms and diseases based on electronic health records or claim data. Specifically, the increased risk of disease after a false-negative diagnosis can be utilized as an indicator of potential harm. The researcher report that the problem with off-the-shelf statistical methods to assess these dynamics is that they do not fully accommodate the data structure of a well-hypothesized risk pattern and thus fail to sufficiently address the unique challenges. The purpose of this study was to explore a mixture regression model and its associated goodness-of-fit testing to address the existing gaps seen in usual statistical analysis methods. The researchers additionally proposed harm measures and profiling analysis procedures to quantify, assess, and compare misdiagnosis-related harm across institutes with potentially differing patient population compositions. Simulation studies were utilized to study the performance of the proposed methods. Researchers then applied and demonstrated the methods through data analyses on stroke occurrence data from the Taiwan Longitudinal Health Insurance Database. From those analyses risk factors for being harmed due to misdiagnosis were assessed, which revealed insights for health care quality research. Finally, researchers compared general and special care hospitals in Taiwan and observed better diagnostic performance in special care hospitals utilizing a variety of new assessment measures.
AHRQ-funded; HS027614.
Citation: Zhu Y, Wang Z, Newman-Toker D .
Misdiagnosis-related harm quantification through mixture models and harm measures.
Biometrics 2023 Sep; 79(3):2633-48. doi: 10.1111/biom.13759..
Keywords: Diagnostic Safety and Quality, Patient Safety, Hospitals
Congdon M, Rauch B, Carroll B
Opportunities for diagnostic improvement among pediatric hospital readmissions.
The purpose of this retrospective cohort study was to: 1) identify and describe diagnostic errors, termed "missed opportunities for improving diagnosis" (MOIDs) in general pediatric patients who experienced hospital readmission, 2) outline improvement opportunities, and 3) explore factors associated with increased risk of MOID. The researchers included unplanned readmissions within 15 days of discharge from a freestanding children's hospital between October 2018 and September 2020. Health records were reviewed and discussed by practicing inpatient physicians to identify MOIDs using SaferDx, an established instrument. MOIDs were evaluated using a diagnostic-specific tool to identify improvement opportunities within the diagnostic process. The study found that MOIDs were identified in 6.3% of 348 readmissions. Opportunities for improvement included: delay in considering the correct diagnosis (50%) and failure to order needed test (45%). Patients with MOIDs were older than patients without MOIDs but similar in gender, primary language, race, ethnicity, and insurance type. The researchers did not identify conditions related with higher risk of MOID. Lower respiratory tract infections accounted for 26% of admission diagnoses but only 1 (4.5%) case of MOID.
AHRQ-funded; HS028682.
Citation: Congdon M, Rauch B, Carroll B .
Opportunities for diagnostic improvement among pediatric hospital readmissions.
Hosp Pediatr 2023 Jul; 13(7):563-71. doi: 10.1542/hpeds.2023-007157..
Keywords: Children/Adolescents, Diagnostic Safety and Quality, Hospitals, Hospital Readmissions
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
Peng L, Luo G, Walker A
Evaluation of federated learning variations for COVID-19 diagnosis using chest radiographs from 42 US and European hospitals.
The goals of this study were to compare a single-site, COVID-19 computer diagnosis system that used the Federated Averaging (FedAvg) algorithm with 3-client Federated learning (FL) models, and to evaluate the performance of the four FL variations. Researchers leveraged a FL healthcare collaborative that included data from five US and European healthcare systems encompassing 42 hospitals. They concluded that FedAvg could significantly improve generalization of the model in comparison with other personalization FL algorithms--FedProx, FedBN, and FedAMP--but at the cost of poor internal validity.
AHRQ-funded; HS026379.
Citation: Peng L, Luo G, Walker A .
Evaluation of federated learning variations for COVID-19 diagnosis using chest radiographs from 42 US and European hospitals.
J Am Med Inform Assoc 2022 Dec 13;30(1):54-63. doi: 10.1093/jamia/ocac188..
Keywords: COVID-19, Diagnostic Safety and Quality, Imaging, Hospitals
Williams JP, Nathanson R, LoPresti CM
Current use, training, and barriers in point-of-care ultrasound in hospital medicine: a national survey of VA hospitals.
This study aimed to characterize current point-of-care ultrasound (POCUS) use, training needs, and barriers to use among hospital medicine groups (HMGs). This prospective observation study looked at all Veterans Affairs (VA) medical centers from August 2019 to March 2020 using a web-based survey sent to all chiefs of HMGs. There was a 90% response rate from 117 HMGs. Procedural POCUS use decreased by 19% from 2015 to 2020 but increased for diagnostic use for cardiac (8%), pulmonary (7%), and abdominal (8%) applications. The most common barrier to POCUS use was lack of training (89%), with only 34% of HMGs having access to POCUS training. Access to ultrasound equipment was the least common barrier at 57%, however with the proportion of HMGs with ≥1 ultrasound machine increasing from 29% to 71% from 2015 to 2020. In 2020 an average of 3.6 ultrasound devices per HMG was available, and 45% were handheld devices.
AHRQ-funded; HS025979.
Citation: Williams JP, Nathanson R, LoPresti CM .
Current use, training, and barriers in point-of-care ultrasound in hospital medicine: a national survey of VA hospitals.
J Hosp Med 2022 Aug;17(8):601-08. doi: 10.1002/jhm.12911..
Keywords: Imaging, Training, Hospitals, Diagnostic Safety and Quality, Provider: Clinician
Hua CL, Thomas KS, Bunker JN
Dementia diagnosis in the hospital and outcomes among patients with advanced dementia documented in the Minimum Data Set.
This retrospective cohort study examined the association between a dementia diagnosis listed on a hospital claim and patient outcomes among individuals with a Minimum Data Set (MDS) assessment. The cohort was comprised of hospitalized patients aged 66 years and older with advanced dementia noted on an MDS assessment completed within 120 days prior to their first hospitalization in 2017. Among 120,989 patients with advanced dementia and a nursing home stay, 90.6% had a dementia diagnosis on their hospital claims. Documentation of a dementia diagnosis was associated with lower use of intensive care unit or coronary care unit, use of invasive mechanical ventilation, and 30-day mortality. These patients also had a shorter hospital length of stay.
AHRQ-funded; HS000011.
Citation: Hua CL, Thomas KS, Bunker JN .
Dementia diagnosis in the hospital and outcomes among patients with advanced dementia documented in the Minimum Data Set.
J Am Geriatr Soc 2022 Mar;70(3):846-53. doi: 10.1111/jgs.17564..
Keywords: Dementia, Diagnostic Safety and Quality, Medicare, Hospitals, Neurological Disorders
Marin JR, Rodean J, Hall M
Racial and ethnic differences in emergency department diagnostic imaging at US children's hospitals, 2016-2019.
Researchers evaluated racial and ethnic differences in the performance of common ED imaging studies and examined patterns across diagnoses. In this study, which evaluated visits by nonhospitalized patients younger than 18 years in 44 US children's hospital EDs, they found that non-Hispanic Black and Hispanic children were less likely to receive diagnostic imaging during ED visits compared with non-Hispanic White children. They recommended further investigation to understand and mitigate these potential disparities in health care delivery and to evaluate the effect of these differential imaging patterns on patient outcomes.
AHRQ-funded; HS026006.
Citation: Marin JR, Rodean J, Hall M .
Racial and ethnic differences in emergency department diagnostic imaging at US children's hospitals, 2016-2019.
JAMA Netw Open 2021 Jan 4(1):e2033710. doi: 10.1001/jamanetworkopen.2020.33710..
Keywords: Children/Adolescents, Hospitals, Emergency Department, Imaging, Racial and Ethnic Minorities, Disparities, Diagnostic Safety and Quality
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
Cifra CL, Ten Eyck P, Dawson JD
Factors associated with diagnostic error on admission to a PICU: a pilot study.
This pilot retrospective cohort study examined errors in pediatric ICUs (PICUs) for children during the first 12 hours after PICU admission. A structured tool (Safer Dx) was used to identify diagnostic error in an academic tertiary institution. Out of 50 patients, 4 (8%) had diagnostic errors. The errors were in diagnoses of chronic ear infection, intracranial pressure (two cases), and Bartonella encephalitis. This pilot study will be expanded into a larger and more definitive multicenter study.
AHRQ-funded; HS022087.
Citation: Cifra CL, Ten Eyck P, Dawson JD .
Factors associated with diagnostic error on admission to a PICU: a pilot study.
Pediatr Crit Care Med 2020 May;21(5):e311-e15. doi: 10.1097/pcc.0000000000002257..
Keywords: Children/Adolescents, Diagnostic Safety and Quality, Medical Errors, Adverse Events, Patient Safety, Critical Care, Intensive Care Unit (ICU), Hospitals
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
Fisher KA, Landyn V, Lindenauer PK
Procalcitonin test availability: a survey of acute care hospitals in Massachusetts.
In this study, the investigators conducted a survey of all acute care short-stay hospitals in the state of Massachusetts in August, 2016 to determine procalcitonin (PCT) assay availability, whether testing is performed on site or at an outside laboratory, and turnaround time. They indicate that their findings demonstrated that PCT testing in routine clinical practice was not available to clinicians in a manner that would be expected to yield timely results or favorably impact antibiotic prescribing in the majority of hospitals in Massachusetts.
AHRQ-funded; HS024596.
Citation: Fisher KA, Landyn V, Lindenauer PK .
Procalcitonin test availability: a survey of acute care hospitals in Massachusetts.
Ann Am Thorac Soc 2017 Sep;14(9):1489-91. doi: 10.1513/AnnalsATS.201704-306RL..
Keywords: Diagnostic Safety and Quality, Hospitals
Calderwood MS, Huang SS, Keller V
Variable case detection and many unreported cases of surgical-site infection following colon surgery and abdominal hysterectomy in a statewide validation.
This study assesses hospital surgical-site infection (SSI) identification and reporting following colon surgery and abdominal hysterectomy via a statewide external validation. The authors concluded that claims-based surveillance is a standardized approach that hospitals can use to augment traditional surveillance methods and health departments can use for external validation.
AHRQ-funded; HS021424.
Citation: Calderwood MS, Huang SS, Keller V .
Variable case detection and many unreported cases of surgical-site infection following colon surgery and abdominal hysterectomy in a statewide validation.
Infect Control Hosp Epidemiol 2017 Sep;38(9):1091-97. doi: 10.1017/ice.2017.134..
Keywords: Healthcare-Associated Infections (HAIs), Surgery, Injuries and Wounds, Patient Safety, Women, Adverse Events, Diagnostic Safety and Quality, Hospitals
Goldberg EM, Morphis B, Youssef R
An analysis of diagnoses that drive readmission: what can we learn from the hospitals in Southern New England with the highest and lowest readmission performance?
This study examined the most common diagnoses driving readmissions among fee-for-service Medicare beneficiaries in the hospitals with the highest and lowest readmission performance in Southern New England from 2014 to 2016. It found that the lowest-performing hospitals readmitted higher percentages of patients for sepsis and complications of device, implant, or graft, compared to highest-performing hospitals.
AHRQ-funded; HS000011.
Citation: Goldberg EM, Morphis B, Youssef R .
An analysis of diagnoses that drive readmission: what can we learn from the hospitals in Southern New England with the highest and lowest readmission performance?
R I Med J 2017 Aug;100(8):23-28.
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Keywords: Adverse Events, Diagnostic Safety and Quality, Hospital Readmissions, Hospitals, Quality Indicators (QIs)