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- Adverse Events (4)
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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 12 of 12 Research Studies DisplayedBradford 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
Zimolzak AJ, Shahid U, Giardina TD
Why test results are still getting "lost" to follow-up: a qualitative study of implementation gaps.
Lack of timely follow-up of abnormal test results is common and has been implicated in missed or delayed diagnosis, resulting in potential for patient harm. As part of a larger project to implement change strategies to improve follow-up of diagnostic test results, this study sought to identify specifically where implementation gaps exist, as well as possible solutions identified by front-line staff.
AHRQ-funded; HS27363.
Citation: Zimolzak AJ, Shahid U, Giardina TD .
Why test results are still getting "lost" to follow-up: a qualitative study of implementation gaps.
J Gen Intern Med 2022 Jan;37(1):137-44. doi: 10.1007/s11606-021-06772-y..
Keywords: Diagnostic Safety and Quality, Patient Safety, Quality Improvement, Quality of Care
Cifra CL, Sittig DF, Singh H
Bridging the feedback gap: a sociotechnical approach to informing clinicians of patients' subsequent clinical course and outcomes.
This paper discusses challenges to the development of systems for effective patient outcome feedback to improve diagnosis and proposes the application of a sociotechnical approach using health information technology (HIT) to support the implementation of such systems. It discusses current barriers to effective clinician feedback, reasons for them, and features of potential IT solutions. Evaluation and implementation of the feedback process within a sociotechnical health system are then discussed. The authors use an eight-dimension sociotechnical model for studying health IT by authors Sittig and Singh. The eight dimensions are hardware and software; clinical content; human–computer interface; people; workflow and communication; organisational policies and procedures; external rules, regulations and pressures; and system measurement and monitoring. A table is included that shows the potential considerations for each dimension.
AHRQ-funded; 33201500022I; HS027363.
Citation: Cifra CL, Sittig DF, Singh H .
Bridging the feedback gap: a sociotechnical approach to informing clinicians of patients' subsequent clinical course and outcomes.
BMJ Qual Saf 2021 Jul;30(7):591-97. doi: 10.1136/bmjqs-2020-012464..
Keywords: Health Information Technology (HIT), Diagnostic Safety and Quality, Patient Safety, Quality Improvement, 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
Dadlez NM, Adelman J, Bundy DG
Contributing factors for pediatric ambulatory diagnostic process errors: Project RedDE.
This study examined root causes of three common pediatric diagnostic errors by having 31 practices enrolled in a national QI collaborative perform monthly “mini-RCAs” (mini root cause analyses). The diagnoses errors studied were missed adolescent depression, missed elevated blood pressure, and missed actionable laboratory values. Twenty-eight practices submitted 184 mini-RCAs with the most common causes being patient volume (adolescent depression and elevated BP), inadequate staffing (adolescent depression), clinic milieu (elevated BP), written communication and provider knowledge (actionable laboratory values), and electronic health records (EHRs) – (elevated BP and actionable laboratory values). The median number of mini-RCAs submitted was 6.
AHRQ-funded; HS024538; HS024713; HS026121.
Citation: Dadlez NM, Adelman J, Bundy DG .
Contributing factors for pediatric ambulatory diagnostic process errors: Project RedDE.
Pediatr Qual Saf 2020 May-Jun;5(3):e299. doi: 10.1097/pq9.0000000000000299..
Keywords: Children/Adolescents, Diagnostic Safety and Quality, Quality Improvement, Quality of Care, Medical Errors, Adverse Events, Patient Safety
Sheehan SE, Safdar N, Singh H
Detection and remediation of misidentification errors in radiology examination ordering.
In this study, the investigators described the pilot testing of a quality improvement methodology using electronic trigger tools and preimaging checklists to detect "wrong-side" misidentification errors in radiology examination ordering, and to measure staff adherence to departmental policy in error remediation. The investigators concluded that their trigger tool enabled the detection of substantially more imaging ordering misidentification errors than preimaging safety checklists alone, with a high positive predictive value.
AHRQ-funded; HS022087; HS017820.
Citation: Sheehan SE, Safdar N, Singh H .
Detection and remediation of misidentification errors in radiology examination ordering.
Appl Clin Inform 2020 Jan;11(1):79-87. doi: 10.1055/s-0039-3402730..
Keywords: Medical Errors, Adverse Events, Diagnostic Safety and Quality, Patient Safety, Imaging, Quality Improvement, Quality of Care
Singh H, Graber ML, Hofer TP
Measures to improve diagnostic safety in clinical practice.
In this paper, the investigators discuss how the need to develop measures to improve diagnostic performance could move forward at a time when the scientific foundation needed to inform measurement is still evolving. They highlight challenges and opportunities for developing potential measures of "diagnostic safety" related to clinical diagnostic errors and associated preventable diagnostic harm. In doing so, they propose a starter set of measurement concepts for initial consideration that seem reasonably related to diagnostic safety and call for these to be studied and further refined.
AHRQ-funded; HS022087.
Citation: Singh H, Graber ML, Hofer TP .
Measures to improve diagnostic safety in clinical practice.
J Patient Saf 2019 Dec;15(4):311-16. doi: 10.1097/pts.0000000000000338.
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Keywords: Patient Safety, Diagnostic Safety and Quality, Healthcare Delivery, Quality Improvement, Quality of Care, Medical Errors, Adverse Events
Cochon LR, Kapoor N, Carrodeguas E
Variation in follow-up imaging recommendations in radiology reports: patient, modality, and radiologist predictors.
The purpose of this study was to determine the incidence and to identify factors associated with follow-up recommendations in radiology reports from multiple modalities, patient care settings, and imaging divisions. A trained algorithm classified 318,366 report; the findings indicate that substantial interradiologist variation exists in the probability of recommending a follow-up examination in a radiology report.
AHRQ-funded; HS024722.
Citation: Cochon LR, Kapoor N, Carrodeguas E .
Variation in follow-up imaging recommendations in radiology reports: patient, modality, and radiologist predictors.
Radiology 2019 Jun;291(3):700-07. doi: 10.1148/radiol.2019182826..
Keywords: Shared Decision Making, Diagnostic Safety and Quality, Imaging, Patient Safety, Quality of Care, Quality Improvement
Giardina TD, Haskell H, Menon S
Learning from patients' experiences related to diagnostic errors is essential for progress in patient safety.
Diagnostic error research has largely focused on individual clinicians' decision making and system design, while overlooking information from patients. In this paper, the authors analyzed patient- and family-reported error narratives to explore factors that contribute to diagnostic errors. The authors suggest that health systems should develop and implement formal programs to collect patients' experiences with the diagnostic process and use these data to promote an organizational culture that strives to reduce harm from diagnostic error.
AHRQ-funded; HS022087; HS017820; HS023558.
Citation: Giardina TD, Haskell H, Menon S .
Learning from patients' experiences related to diagnostic errors is essential for progress in patient safety.
Health Aff 2018 Nov;37(11):1821-27. doi: 10.1377/hlthaff.2018.0698..
Keywords: Diagnostic Safety and Quality, Patient Experience, Patient Safety, Quality Improvement
Rogith D, Iyengar MS, Singh H
Using fault trees to advance understanding of diagnostic errors.
In this study, the investigators used fault trees to advance understanding of diagnostic errors. A team of three experts reviewed 10 published cases of diagnostic error and constructed fault trees. The fault trees were modeled according to currently available conceptual frameworks characterizing diagnostic error. The 10 trees were then synthesized into a single fault tree to identify common contributing factors and pathways leading to diagnostic error. The investigators indicate that fault trees might provide a useful framework for both quantitative and qualitative analysis of diagnostic errors.
AHRQ-funded; HS022087; HS023602.
Citation: Rogith D, Iyengar MS, Singh H .
Using fault trees to advance understanding of diagnostic errors.
Jt Comm J Qual Patient Saf 2017 Nov;43(11):598-605. doi: 10.1016/j.jcjq.2017.06.007..
Keywords: Diagnostic Safety and Quality, Patient Safety, Quality of Care, Quality Improvement
Arnold S
AHRQ Author: Arnold S
The imperative to address diagnostic safety.
Diagnostic errors are likely to impact most of us in our lifetime. The author discusses two studies pointing to the vastness of the challenge and the urgency to act now. He also discusses other aspects of this issue and highlights two current AHRQ dedicated research opportunities on diagnostic safety: one to look at the incidence and causes of diagnostic errors in ambulatory care, and the second to look at improvement strategies and interventions.
AHRQ-authored.
Citation: Arnold S .
The imperative to address diagnostic safety.
Diagnosis 2017 Jun 27;4(2):55-56. doi: 10.1515/dx-2017-0017.
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Keywords: Diagnostic Safety and Quality, Medical Errors, Ambulatory Care and Surgery, Patient Safety, Quality Improvement
Al-Mutairi A, Meyer AN, Thomas EJ
Accuracy of the safer Dx instrument to identify diagnostic errors in primary care.
The researchers aimed to test the accuracy of an instrument to help detect presence or absence of diagnostic error through record reviews. They found that their Safer Dx Instrument helped quantify the likelihood of diagnostic error in primary care visits, achieving a high degree of accuracy for measuring their presence or absence.
AHRQ-funded; HS022087.
Citation: Al-Mutairi A, Meyer AN, Thomas EJ .
Accuracy of the safer Dx instrument to identify diagnostic errors in primary care.
J Gen Intern Med 2016 Jun;31(6):602-8. doi: 10.1007/s11606-016-3601-x.
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Keywords: Primary Care, Diagnostic Safety and Quality, Medical Errors, Patient Safety, Quality Improvement