National Healthcare Quality and Disparities Report
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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 25 of 47 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
Ali KJ, Goeschel CA, Eckroade MM
The TeamSTEPPS for improving diagnosis team assessment tool: scale development and psychometric evaluation.
The authors developed and evaluated the TeamSTEPPS Improving Diagnosis Team Assessment Tool (TAT), which assesses diagnostic teamwork and communication in five critical domains. The TAT was administered as a cross-sectional survey to health professionals in nine diverse US health systems. A psychometric evaluation demonstrated that the TAT was a reliable and valid instrument for assessing teamwork and communication among and across diagnostic teams. The authors concluded that TAT added a novel, evidence-based measurement tool.
AHRQ-funded; 233201500022I.
Citation: Ali KJ, Goeschel CA, Eckroade MM .
The TeamSTEPPS for improving diagnosis team assessment tool: scale development and psychometric evaluation.
Jt Comm J Qual Patient Saf 2024 Feb; 50(2):95-103. doi: 10.1016/j.jcjq.2023.08.009..
Keywords: Diagnostic Safety and Quality, Teams, TeamSTEPPS
Gyftopoulos S, Simon E, Swartz JL
Efficacy and impact of a multimodal intervention on CT pulmonary angiography ordering behavior in the emergency department.
The objective of this study was to evaluate the efficacy of a multimodal intervention to reduce overutilization of computed tomography pulmonary angiography (CTPA) for suspected pulmonary embolism in the emergency department. Results indicated that guideline concordance increased significantly after intervention. The authors concluded that their success in increasing guideline concordance demonstrated the efficacy of a mixed-methods, human-centered approach to behavior change; however, given that neither of the secondary outcomes improved, the results may demonstrate potential limitations to the guidelines directing the ordering of CTPA studies.
AHRQ-funded; HS024376.
Citation: Gyftopoulos S, Simon E, Swartz JL .
Efficacy and impact of a multimodal intervention on CT pulmonary angiography ordering behavior in the emergency department.
J Am Coll Radiol 2024 Feb; 21(2):309-18. doi: 10.1016/j.jacr.2023.02.033.
Keywords: Emergency Department, Respiratory Conditions, Imaging, Diagnostic Safety and Quality, Blood Clots
Ali KJ, Goeschel CA, DeLia DM
The PRIDx framework to engage payers in reducing diagnostic errors in healthcare.
The authors conducted a literature review and interviewed subject matter experts to develop a multi-component Payer Relationships for Improving Diagnoses (PRIDx) framework. The PRIDx framework can be used to encourage public and private payers to take specific actions to improve diagnostic safety. The authors noted that implementation of the PRIDx framework will require new types of partnerships, including external support from public and private payer organizations, and also require the creation of strong provider incentives.
AHRQ-funded; 2332015000221.
Citation: Ali KJ, Goeschel CA, DeLia DM .
The PRIDx framework to engage payers in reducing diagnostic errors in healthcare.
https://www.pubmed.ncbi.nlm.nih.gov/37795579.
Keywords: Diagnostic Safety and Quality, Quality of Care, Patient Safety
Liu SK, Bourgeois F, Dong J
What's going well: a qualitative analysis of positive patient and family feedback in the context of the diagnostic process.
This paper evaluated positive patient/family feedback to generate broader perspectives on what constitutes a "good" diagnostic process (DxP). Eligible participants included patients/families living with chronic conditions with visits in three urban pediatric subspecialty clinics (site 1) and one rural adult primary care clinic (site 2) who were then invited to complete a survey between December 2020 and March 2020. The authors adapted the Healthcare Complaints Analysis Tool (HCAT) to conduct a qualitative analysis on a subset of patient/family responses with ≥20 words. A total of 7,075 surveys were completed before 18,129 visits (39 %) at site 1, and 460 surveys were completed prior to 706 (65 %) visits at site 2. Positive feedback was provided by 1,578 participants, ranging from 1-79 words. Categories of 272 comments with ≥20 words described: Relationships (60 %), Clinical Care (36 %), and Environment (4 %). In the Relationships category patients/families most commonly noted: thorough and competent attention (46 %), clear communication and listening (41 %) and emotional support and human connection (39 %). For Clinical Care, patients highlighted: timeliness (31 %), effective clinical management (30 %), and coordination of care (25 %).
AHRQ-funded; HS027367.
Citation: Liu SK, Bourgeois F, Dong J .
What's going well: a qualitative analysis of positive patient and family feedback in the context of the diagnostic process.
Diagnosis 2024 Feb 1; 11(1):63-72. doi: 10.1515/dx-2023-0075.
Keywords: Diagnostic Safety and Quality, Clinician-Patient Communication, Communication, Patient and Family Engagement
Newman-Toker DE, Nassery N, Schaffer AC
Burden of serious harms from diagnostic error in the USA.
Americans who experience serious harm from misdiagnosis annually. Serious harm is defined as permanent morbidity or morality. This cross-sectional analysis used nationally representative observational data. The authors estimated annual incident vascular events and infections from 21.5 million (M) sampled US hospital discharges (2012-2014). US-based cancer registries were used to find annual new cancers. They derived diagnostic errors and serious harms by multiplying by literature-based rates for disease-specific incidences for 15 major vascular events, infections and cancers ('Big Three' categories). Extrapolating to all diseases (including non-'Big Three' dangerous disease categories), they estimated total serious harms annually in the USA to be 795,000 (plausible range 598,000-1,023,000). Using more conservative assumptions they estimated 549,000 serious harms. These results were compatible with setting-specific serious harm estimates from inpatient, emergency department and ambulatory care. Fifteen dangerous diseases accounted for 50.7% of total serious harms and the top 5 (stroke, sepsis, pneumonia, venous thromboembolism and lung cancer) accounted for 38.7%.
AHRQ-funded; HS027614; HS029350.
Citation: Newman-Toker DE, Nassery N, Schaffer AC .
Burden of serious harms from diagnostic error in the USA.
BMJ Qual Saf 2024 Jan 19; 33(2):109-20. doi: 10.1136/bmjqs-2021-014130..
Keywords: Healthcare Cost and Utilization Project (HCUP), Diagnostic Safety and Quality, Medical Errors, Patient Safety, Quality of Care, Adverse Events
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
Giardina TD, Hunte H, Hill MA
Defining diagnostic error: a scoping review to assess the impact of the National Academies' report improving diagnosis in Health Care.
This study looked at peer-reviewed published literature to explore how researchers operationalize the National Academies of Science, Engineering, and Medicine’s (NASEM) definition of diagnostic error that was defined in their 2015 publication “Improving Diagnosis in Health Care”. Published literature was identified from October 2015 to February 2021. The authors also conducted subject matter expert interviews. Of the 34 studies identified, 16 were analyzed and abstracted to determine how diagnostic error was operationalized and measured. Studies were grouped by four themes: epidemiology, patient focus, measurement/surveillance, and clinician focus. Nine studies identified used the NASM definition. Five of those studies also operationalized with existing definitions proposed before the NASEM report, four operationalized the components of the NASEM definition, and three studies operationalized error using existing definitions only. Subject matter experts concluded that the NASEM definition functions as a foundation for researchers to conceptualize diagnostic error.
AHRQ-funded; 233201500022I; HS027280; HS025474; HS027363.
Citation: Giardina TD, Hunte H, Hill MA .
Defining diagnostic error: a scoping review to assess the impact of the National Academies' report improving diagnosis in Health Care.
J Patient Saf 2022 Dec 1;18(8):770-78. doi: 10.1097/pts.0000000000000999..
Keywords: Diagnostic Safety and Quality, Quality of Care, Medical Errors, Adverse Events, Healthcare Delivery
Bell SK, Bourgeois F, Dong J
Patient identification of diagnostic safety blindspots and participation in "good catches" through shared visit notes.
The goal of this study was to investigate whether sharing clinical notes with patients supported identification of potential breakdowns in the diagnostic process that might be difficult for clinical staff to observe -- "diagnostic safety blindspots." Researchers analyzed patient-reported ambulatory documentation errors among patients at 3 U.S. healthcare centers. Older, female, unemployed, disabled, or sicker patients, or patients who worked in healthcare, were more likely to identify blindspots; patients who self-identified as Black, Asian, multiple races and those with less formal education as well as those who deferred decision-making to their providers were less likely to report blindspots. The researchers concluded that patients who read notes have unique insight about potential errors in their medical records and that organizations should encourage patient review of notes and create systems to track patient-reported blindspots.
AHRQ-funded; HS027367.
Citation: Bell SK, Bourgeois F, Dong J .
Patient identification of diagnostic safety blindspots and participation in "good catches" through shared visit notes.
Milbank Q 2022 Dec; 100(4):1121-65. doi: 10.1111/1468-0009.12593..
Keywords: Diagnostic Safety and Quality, Patient Safety, Electronic Health Records (EHRs), Health Information Technology (HIT)
Ganeshan S, Pierce L, Mourad M
Impact of patient portal-based self-scheduling of diagnostic imaging studies on health disparities.
The purpose of this study was to explore the impact of self-scheduling on equitable access to care. The researchers utilized an electronic health record patient portal at the University of California San Francisco which deployed a self-scheduling tool allowing patients to self-schedule diagnostic imaging studies. The study found that among all patient portal users, Latinx, Black/African American, and non-English speaking patients, as well as patients with Medi-Cal, California's Medicaid program, and Medicare insurance were less likely to self-schedule studies. were all less likely to self-schedule when compared with commercially insured patients.
AHRQ-funded; HS026383.
Citation: Ganeshan S, Pierce L, Mourad M .
Impact of patient portal-based self-scheduling of diagnostic imaging studies on health disparities.
J Am Med Inform Assoc 2022 Nov 14;29(12):2096-100. doi: 10.1093/jamia/ocac152..
Keywords: Disparities, Diagnostic Safety and Quality, Electronic Health Records (EHRs), Health Information Technology (HIT)
Malik MA, Motta-Calderon D, Piniella N
A structured approach to EHR surveillance of diagnostic error in acute care: an exploratory analysis of two institutionally-defined case cohorts.
The purpose of this study was to examine a structured electronic health record (EHR) case review process to identify diagnostic errors (DE) and diagnostic process failures (DPFs) in acute care. The researchers created two test cohorts of all preventable cases (n=28) and an equal number of randomly sampled non-preventable cases (n=28) from 365 adult general medicine patients who expired and were part of the mortality case review process at the research institution. Twenty-seven preventable and 24 non-preventable cases were included in the review process. The study found that the frequency of DE contributing to death was significantly higher for the preventable cohort compared to the non-preventable cohort. The researchers concluded that substantial agreement was observed among final consensus and expert panel reviews using their structured EHR case review process, and DEs contributing to death associated with DPFs were identified in institutionally designated preventable and non-preventable cases.
AHRQ-funded; HS026613.
Citation: Malik MA, Motta-Calderon D, Piniella N .
A structured approach to EHR surveillance of diagnostic error in acute care: an exploratory analysis of two institutionally-defined case cohorts.
Diagnosis 2022 Nov;9(4):446-57. doi: 10.1515/dx-2022-0032..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Diagnostic Safety and Quality, Medical Errors
Hickey EJ, Feinberg E, Kuhn J
Family impact during the time between autism screening and definitive diagnosis.
The purpose of this study was to explore parental perceptions of the impact their child’s behavior had on their family between the time risk of Autism Spectrum Disorder (ASD) was identified and before formal medical diagnosis, and then compare family impact among those whose child met diagnostic criteria for ASD and those who did not. The study found that the parents of children who received a non-ASD diagnosis reported a higher baseline level of family impact. Perception of difficult child behavior was a stronger predictor of family impact than later diagnostic group, and child functioning did not predict family impact. The researchers concluded that in this specific population, perceived difficult child behavior is a stronger predictor of family impact than later diagnostic category.
AHRQ-funded; HS022242.
Citation: Hickey EJ, Feinberg E, Kuhn J .
Family impact during the time between autism screening and definitive diagnosis.
J Autism Dev Disord 2022 Nov;52(11):4908-20. doi: 10.1007/s10803-021-05354-5..
Keywords: Autism, Screening, Diagnostic Safety and Quality
Umeukeje EM, Koonce TY, Kusnoor SV
Systematic review of international studies evaluating MDRD and CKD-EPI estimated glomerular filtration rate (eGFR) equations in Black adults.
The authors conducted a systematic review to assess how well estimating glomerular filtration rate (eGFR), with and without race adjustment, estimates measured GFR (mGFR) in Black adults globally. They identified 12 studies which included patients with and without kidney disease from Africa, the United States, Europe, and Brazil. They found that the majority of these studies determined that removal of race adjustment improved bias, accuracy, and precision of eGFR equations for Black adults. They concluded that their systematic review supports the need for future studies to be conducted in diverse populations to assess the possibility of alternative approaches for estimating GFR.
AHRQ-funded; HS026122.
Citation: Umeukeje EM, Koonce TY, Kusnoor SV .
Systematic review of international studies evaluating MDRD and CKD-EPI estimated glomerular filtration rate (eGFR) equations in Black adults.
PLoS One 2022 Oct 18;17(10):e0276252. doi: 10.1371/journal.pone.0276252..
Keywords: Kidney Disease and Health, Chronic Conditions, Racial and Ethnic Minorities, Diagnostic Safety and Quality
Severance TS, Njuguna F, Olbara G
An evaluation of the disparities affecting the underdiagnosis of pediatric cancer in Western Kenya.
This study described the international collaboration to investigate disparities affecting the underdiagnosis of pediatric cancer in Western Kenya. Estimates of cancer incidence in similar populations around the world would indicate approximately 1500 patients should be diagnosed each year. However, internal review at a large tertiary hospital noted 200-250 patients were diagnosed annually, suggesting the remaining 75-80% of patients go undiagnosed and do not receive treatment. The authors reviewed 41 malaria slides at a local referring hospital that demonstrated both morphologic and genetic evidence of leukemia. This disparity suggested a lack of education and training that were the lead factors contributing to lower rates of diagnosis.
AHRQ-funded; HS026390.
Citation: Severance TS, Njuguna F, Olbara G .
An evaluation of the disparities affecting the underdiagnosis of pediatric cancer in Western Kenya.
Pediatr Blood Cancer 2022 Oct;69(10):e29768. doi: 10.1002/pbc.29768..
Keywords: Children/Adolescents, Cancer, Disparities, Diagnostic Safety and Quality
Luximon DC, Ritter T, Fields E
Development and interinstitutional validation of an automatic vertebral-body misalignment error detector for cone-beam CT-guided radiotherapy.
The purpose of this study was to develop an automatic error detection algorithm that uses a three-branch convolutional neural network error detection model (EDM) to detect off-by-one vertebral-body misalignments using planning computed tomography (CT) images and setup CBCT images. The researchers collected algorithm training and test data from 480 patients undergoing radiotherapy treatment at two radiotherapy clinics. One model (EDM(1) ) was trained solely on data from institution 1. EDM(1) was further trained on a dataset from institution 2 to produce a fine-tuned model, EDM(2) . Another model, EDM(3), was trained using a training dataset composed of data from both institutions. The study found that when applied to the combined test set, EDM(1) , EDM(2) , and EDM(3) resulted in an area under curve of 99.5%, 99.4%, and 99.5%, respectively. EDM(1) achieved a sensitivity of 96% and 88% on Institution 1 and Institution 2 test set, respectively. EDM(2) obtained a sensitivity of 95% on each institution's test set. EDM(3) achieved a sensitivity of 95% and 88% on Institution 1 and Institution 2 test set, respectively. The researchers concluded that in CBCT-guided radiotherapy, the proposed algorithm demonstrated accuracy in identifying off-by-one vertebral-body misalignments that was sufficiently high enough to justify implementation in practice.
AHRQ-funded; HS026486.
Citation: Luximon DC, Ritter T, Fields E .
Development and interinstitutional validation of an automatic vertebral-body misalignment error detector for cone-beam CT-guided radiotherapy.
Med Phys 2022 Oct;49(10):6410-23. doi: 10.1002/mp.15927..
Keywords: Imaging, Diagnostic Safety and Quality, Medical Errors, Patient Safety
Shafer GJ, Singh H, Thomas EJ
Frequency of diagnostic errors in the neonatal intensive care unit: a retrospective cohort study.
The objective of this study was to determine the frequency and etiology of diagnostic errors during the first 7 days of admission for inborn neonatal intensive care unit (NICU) patients. The "Safer Dx NICU Instrument" was used to review electronic health records. The reviewers discovered that the frequency of diagnostic error in inborn NICU patients during the first 7 days of admission was 6.2%.
AHRQ-funded; HS027363.
Citation: Shafer GJ, Singh H, Thomas EJ .
Frequency of diagnostic errors in the neonatal intensive care unit: a retrospective cohort study.
J Perinatol 2022 Oct;42(10):1312-18. doi: 10.1038/s41372-022-01359-9..
Keywords: Newborns/Infants, Intensive Care Unit (ICU), Critical Care, Diagnostic Safety and Quality, Medical Errors, Adverse Events, Patient Safety, Electronic Health Records (EHRs), Health Information Technology (HIT)
Bradford A, Shofer M, Singh H
AHRQ Author: Shofer M, Singh H
Measure Dx: implementing pathways to discover and learn from diagnostic errors.
This paper discusses Measure Dx, a new AHRQ resource that translates knowledge from diagnostic measurement research into actionable recommendations. This resource guides healthcare organizations to detect, analyze, and learn from diagnostic safety events as part of a continuous learning and feedback cycle. The goal of Measure Dx is to advance new frontiers in reducing preventable diagnostic harm to patients.
AHRQ-authored; AHRQ-funded; 233201500022I; HS027363.
Citation: Bradford A, Shofer M, Singh H .
Measure Dx: implementing pathways to discover and learn from diagnostic errors.
Int J Qual Health Care 2022 Sep 10;34(3). doi: 10.1093/intqhc/mzac068..
Keywords: Diagnostic Safety and Quality, Patient Safety, Quality Improvement, Quality of Care, Electronic Health Records (EHRs), Health Information Technology (HIT), Health Systems, Learning Health Systems
Odeh Couvertier V, Patterson Patterson, Zayas-Cabán G
Association between advanced image ordered in the emergency department on subsequent imaging for abdominal pain patients.
The purpose of this retrospective, observational study was to evaluate abdominal pain patients discharged from the ED to determine the association between advanced emergency department (ED) imaging on subsequent outpatient imaging and on revisits. The researchers utilized the electronic health records of Medicare patients who presented with a complaint of abdominal pain at a United States academic emergency department. The study found that participants who were not imaged at the ED had significantly higher adjusted odds of being imaged outside of the ED within 7, 14, and 28 days of being discharged, and had a significantly higher adjusted odds of returning to the study ED and visiting any ED within 30 days of being discharged. The study concluded that receiving abdominal imaging services in the ED was related with significantly lower imaging use after discharge.
AHRQ-funded; HS024558.
Citation: Odeh Couvertier V, Patterson Patterson, Zayas-Cabán G .
Association between advanced image ordered in the emergency department on subsequent imaging for abdominal pain patients.
Acad Emerg Med 2022 Sep;29(9):1078-83. doi: 10.1111/acem.14541..
Keywords: Imaging, Emergency Department, Diagnostic Safety and Quality, Hospital Readmissions
Bradford A, Shahid U, Schiff GD
AHRQ Author: DiStabile P, Timashenka A, Jalal H, and Brady PJ
Development and usability testing of the Agency for Healthcare Research and Quality common formats to capture diagnostic safety events.
The purpose of this study was to conduct a usability assessment of the Agency for Healthcare Research and Quality (AHRQ) Common Formats for Event Reporting for Diagnostic Safety Events (CFER-DS) to assist in informing future revisions and implementation. The researchers recruited quality and safety personnel from 8 U.S. healthcare organizations and invited them to use the CFER-DS to simulate reporting and then provide written and verbal qualitative feedback. The study found that feedback about item clarity and content coverage was generally positive, but that reporter burden was a potential concern. Participants also identified opportunities to improve the CFER-DS, including clarifying several conceptual definitions, improving applicability across different care settings, and creating guidance to operationalize use of the tool.
AHRQ-authored; AHRQ-funded; HS027363, 233201500022I.
Citation: Bradford A, Shahid U, Schiff GD .
Development and usability testing of the Agency for Healthcare Research and Quality common formats to capture diagnostic safety events.
J Patient Saf 2022 Sep 1;18(6):521-25. doi: 10.1097/pts.0000000000001006..
Keywords: Diagnostic Safety and Quality, Patient Safety, Health Information Technology (HIT), Adverse Events
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
Chang T, Sjoding MW, Wiens J
Disparate censorship & undertesting: a source of label bias in clinical machine learning.
This article examined the role of clinician and societal biases in machine learning (ML) models. This paper highlights disparate censorship (i.e., differences in testing rates across patient groups) as a source of label bias that clinical ML models may amplify, potentially causing harm. If a patient does not have test results, they are often assigned a negative label, which assumes that untested patients do not experience the outcome. Since testing may not be uniform in patient populations, this can give rise to disparate censorship. Using biased labels in standard ML pipelines could contribute to gaps in model performance across patient groups.
AHRQ-funded; HS027431.
Citation: Chang T, Sjoding MW, Wiens J .
Disparate censorship & undertesting: a source of label bias in clinical machine learning.
Proc Mach Learn Res 2022 Aug; 182:343-90..
Keywords: Health Information Technology (HIT), Diagnostic Safety and Quality
Ramesh S, Ayres B, Eyck PT
Impact of subspecialty consultations on diagnosis in the pediatric intensive care unit.
This retrospective study used chart reviews of critically ill children in the pediatric intensive care unit (PICU) to determine the impact of subspecialty consultations on diagnosis. The majority of patients (87 of 101) were provided subspecialty consultations at the request of the PICU clinician. The consultations were equally for diagnosis (65%) and treatment (66%). There was a change in diagnosis for 21% of patients with consultants from PICU admission to discharge, with 61% attributed to subspecialty input. Forty-five percent of patients with consultations had additional imaging and/or laboratory testing and 55% had a medication change and/or a procedure performed immediately after consultation.
AHRQ-funded; HS026965.
Citation: Ramesh S, Ayres B, Eyck PT .
Impact of subspecialty consultations on diagnosis in the pediatric intensive care unit.
Diagnosis 2022 Aug;9(3):379-84. doi: 10.1515/dx-2021-0137..
Keywords: Children/Adolescents, Intensive Care Unit (ICU), Critical Care, Diagnostic Safety and Quality
Doty AM, Rising KL, Hsiao T
"Unfortunately, I don't have an answer for you": how resident physicians communicate diagnostic uncertainty to patients during emergency department discharge.
This study’s objective was to describe how emergency medicine resident physicians discuss diagnostic uncertainty during a simulated emergency department (ED) discharge discussion. Most residents in the simulation explained the evaluation revealed no cause for symptoms, noted concerning diagnoses that were excluded, and acknowledged both symptoms and patients’ feelings. However, 28% of residents did not discuss diagnostic uncertainty in any form. All residents were reassuring. Those who did discuss diagnostic uncertainty used explicit and implicit language with similar frequency.
AHRQ-funded; HS025651.
Citation: Doty AM, Rising KL, Hsiao T .
"Unfortunately, I don't have an answer for you": how resident physicians communicate diagnostic uncertainty to patients during emergency department discharge.
Patient Educ Couns 2022 Jul;105(7):2053-57. doi: 10.1016/j.pec.2021.12.002..
Keywords: Clinician-Patient Communication, Emergency Department, Communication, Diagnostic Safety and Quality
Woods-Hill CZ, Colantuoni EA, Koontz DW
Association of diagnostic stewardship for blood cultures in critically ill children with culture rates, antibiotic use, and patient outcomes: results of the Bright STAR Collaborative.
The purpose of this AHRQ-funded prospective study was to assess the relationship between a 14-site PICU blood culture collaborative, the Bright STAR (Testing Stewardship for Antibiotic Reduction) collaborative, and culture rates, antibiotic use, and patient outcomes. The researchers collected data from each participating PICU across the United States and from the Children’s Hospital Association Pediatric Health Information System. The main outcome was blood culture rates, with secondary outcomes including: broad-spectrum antibiotic use and PICU rates of central line-associated bloodstream infection (CLABSI), Clostridioides difficile infection, readmission, length of stay, sepsis, severe sepsis/septic shock, and mortality. The study found that the blood culture rate preimplementation across the 14 PICUs was 149.4 per 1000 patient days per month, and the rate postimplementation was 100.5 for a 33% relative reduction postimplementation. For those same periods, the rate of antibiotic use decreased from 506 days per 1000 patient-days per month preimplementation to 440 days per 1000 patient-days per month postimplementation, which reflects a 13% relative reduction. Rates of CLABSI decreased from 1.8 to 1.1 per 1000 central venous line days per month, a 36% relative reduction. The variables of length of stay, readmission, sepsis, severe sepsis/septic shock, and mortality were similar before and after implementation. The researchers concluded that collaborative interventions can reduce blood culture and antibiotic use in the PICU.
AHRQ-funded; HS025642.
Citation: Woods-Hill CZ, Colantuoni EA, Koontz DW .
Association of diagnostic stewardship for blood cultures in critically ill children with culture rates, antibiotic use, and patient outcomes: results of the Bright STAR Collaborative.
JAMA Pediatr 2022 Jul;176(7):690-98. doi: 10.1001/jamapediatrics.2022.1024..
Keywords: Children/Adolescents, Sepsis, Critical Care, Antibiotics, Medication, Diagnostic Safety and Quality, Antimicrobial Stewardship