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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 205 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
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
Carroll AR, Johnson JA, Stassun JC
Health literacy-informed communication to reduce discharge medication errors in hospitalized children: a randomized clinical trial.
This study’s objective was to test a health literacy-informed communication intervention to decrease liquid medication dosing errors compared with standard counseling in hospitalized children. This parallel, randomized clinical trial was conducted from June 22, 2021, to August 20, 2022, at a tertiary care, US children's hospital. English- and Spanish-speaking caregivers of hospitalized children 6 years or younger prescribed a new, scheduled liquid medication at discharge were included in the analysis. Observed dosing errors were the main outcome measured, and secondary outcomes included caregiver-reported medication knowledge. Among 198 randomized caregivers (mean age 31.4 years; 186 women [93.9%]; 36 [18.2%] Hispanic or Latino and 158 [79.8%] White), the primary outcome was available for 151 (76.3%). The observed mean (SD) percentage dosing error was 1.0% (2.2 percentage points) among the intervention group and 3.3% (5.1 percentage points) among the standard counseling group (absolute difference, 2.3 percentage points). Twenty-four of 79 caregivers in the intervention group (30.4%) measured an incorrect dose compared with 39 of 72 (54.2%) in the standard counseling group. The intervention enhanced caregiver-reported medication knowledge compared with the standard counseling group for medication dose (71 of 76 [93.4%] vs 55 of 69 [79.7%]), duration of administration (65 of 76 [85.5%] vs 49 of 69 [71.0%], and correct reporting of 2 or more medication adverse effects (60 of 76 [78.9%] vs 13 of 69 [18.8%]).
AHRQ-funded; HS026122.
Citation: Carroll AR, Johnson JA, Stassun JC .
Health literacy-informed communication to reduce discharge medication errors in hospitalized children: a randomized clinical trial.
JAMA Netw Open 2024 Jan 2; 7(1):e2350969. doi: 10.1001/jamanetworkopen.2023.50969..
Keywords: Children/Adolescents, Health Literacy, Communication, Medication, Adverse Drug Events (ADE), Adverse Events, Medical Errors, Clinician-Patient Communication, Hospital Discharge, Medication: Safety
Cohen TN, Berdahl CT, Coleman BL
Medication safety event reporting: Factors that contribute to safety events during times of organizational stress.
This study’s objective was to understand the insights conveyed in hospital incident reports about how work system factors affected medication safety during a coronavirus disease-2019 (COVID-19) surge. The authors randomly selected 100 medication safety incident reports from an academic medical center (December 2020 to January 2021), identified near misses and errors, and classified contributing work system factors using the Human Factors Analysis and Classification System-Healthcare. Results showed that among 35 near misses/errors, incident reports described contributing factors (mean 1.3/report) involving skill-based errors (n = 20), communication (n = 8), and tools/technology (n = 4). Seven of these events were linked to COVID-19.
AHRQ-funded; HS027455.
Citation: Cohen TN, Berdahl CT, Coleman BL .
Medication safety event reporting: Factors that contribute to safety events during times of organizational stress.
J Nurs Care Qual 2024 Jan-Mar; 39(1):51-57. doi: 10.1097/ncq.0000000000000720..
Keywords: Medication: Safety, Medication, Patient Safety, COVID-19, Adverse Drug Events (ADE), Adverse Events, Medical Errors
Kaufman BG, Holland DE, Vanderboom CE
Multicomponent pharmacist intervention did not reduce clinically important medication errors for ambulatory patients initiating direct oral anticoagulants.
The aim of this randomized controlled trial study was to evaluate the effectiveness of a multicomponent intervention for decreasing clinically important medication errors (CIMEs). The researchers included ambulatory patients beginning a DOAC or resuming one after a complication. The intervention included pharmacist evaluation and monitoring based on the implementation of a recently published checklist. The primary measure was anticoagulant-related CIMEs and non-anticoagulant-related CIMEs over 90 days from DOAC initiation. Primary variables included evaluation of the appropriateness of DOAC, need for DOAC affordability assistance, three pharmacist-initiated telephone consultations, access to a DOAC hotline, documented hand-off to the patient's continuity provider, and monitoring of follow-up laboratory tests. A total of 561 patients contributed 479 anticoagulant-CIMEs including 31 preventable and ameliorable ADEs and 448 significant anticoagulant medication errors without subsequent documented ADEs. The most common anticoagulant-related CIMEs were failure to perform required blood tests and concurrent, inappropriate usage of a DOAC with aspirin or NSAIDs despite pharmacist documentation systematically identifying these issues when present. There was no reduction in anticoagulant-related CIMEs among intervention patients or non-anticoagulant-related CIMEs.
AHRQ-funded; HS02592401.
Citation: Kaufman BG, Holland DE, Vanderboom CE .
Multicomponent pharmacist intervention did not reduce clinically important medication errors for ambulatory patients initiating direct oral anticoagulants.
J Gen Intern Med 2023 Dec; 38(16):3526-34. doi: 10.1007/s11606-023-08315-z..
Keywords: Provider: Pharmacist, Medication, Adverse Drug Events (ADE), Adverse Events, Medical Errors, Blood Thinners, Medication: Safety, Patient Safety
Cifra CL, Custer JW, Smith CM
Prevalence and characteristics of diagnostic error in pediatric critical care: a multicenter study.
This study’s objective was to determine the prevalence and characteristics of diagnostic errors and identify factors associated with error in patients admitted to the PICU. This multicenter cohort study used structured medical record review by trained clinicians using the Revised Safer Dx instrument to identify diagnostic error (defined as missed opportunities in diagnosis). The cohort included 882 randomly selected patients 0-18 years old who were nonelectively admitted to participating PICUs. Of these admissions, 13 (1.5%) had a diagnostic error up to 7 days after PICU admission, with infections (46%) and respiratory conditions (23%) being the most missed diagnoses. One diagnostic error caused a prolonged hospital stay. Common missed diagnostic opportunities included failure to consider the diagnosis despite a suggestive history and failure to broaden diagnostic testing, both at 69%. Unadjusted analysis identified more diagnostic errors in patients with atypical presentations (23.1% vs 3.6%), neurologic chief complaints (46.2% vs 18.8%), admitting intensivists greater than or equal to 45 years old (92.3% vs 65.1%), admitting intensivists with more service weeks/year (mean 12.8 vs 10.9 weeks), and diagnostic uncertainty on admission (77% vs 25.1%). Generalized linear mixed models determined that atypical presentation (odds ratio [OR] 4.58) and diagnostic uncertainty on admission (OR 9.67) were significantly associated with diagnostic error.
AHRQ-funded; HS026965.
Citation: Cifra CL, Custer JW, Smith CM .
Prevalence and characteristics of diagnostic error in pediatric critical care: a multicenter study.
Crit Care Med 2023 Nov; 51(11):1492-501. doi: 10.1097/ccm.0000000000005942..
Keywords: Children/Adolescents, Diagnostic Safety and Quality, Critical Care, Intensive Care Unit (ICU), Medical Errors, Patient Safety
Berdahl CT, Henreid AJ, Cohen TN
Comparing the Safety Action Feedback and Engagement (SAFE) Loop with an established incident reporting system: Study protocol for a pragmatic cluster randomized controlled trial.
This paper describes the study protocol that will be used for a randomized controlled trial of the Safety Action Feedback and Engagement (SAFE) Loop, an intervention designed to transform hospital incident reporting systems into effective tools for improving patient safety. There are six key attributes to the SAFE Loop: obtaining nurses' input about which safety problems to prioritize on their unit; focusing on learning about selected high-priority events; training nurses to write more informative event reports; prompting nurses to report high-priority events; integrating information about events from multiple sources; and providing feedback to nurses on findings and mitigation plans. The study will be conducted at 20 randomized nursing units at a large academic/community hospital in Los Angeles and will focus on medication errors. The investigators will look for the following outcomes: (1) incident reporting practices (rates of high-priority reports, contributing factors described in reports), (2) nurses' attitudes toward incident reporting, and (3) rates of high-priority events. They will use quantitative analysis to compare changes in outcomes pre- and post-implementation between the intervention and control nursing units, and qualitative analyses to explore nurses' experiences with implementation.
AHRQ-funded; HS027455.
Citation: Berdahl CT, Henreid AJ, Cohen TN .
Comparing the Safety Action Feedback and Engagement (SAFE) Loop with an established incident reporting system: Study protocol for a pragmatic cluster randomized controlled trial.
Contemp Clin Trials Commun 2023 Oct; 35:101192. doi: 10.1016/j.conctc.2023.101192..
Keywords: Patient Safety, Adverse Events, Medical Errors
Langlieb ME, Sharma P, Hocevar M
The additional cost of perioperative medication errors.
The aim of this study was to calculate the additional annual cost to the U.S. healthcare system attributable to preventable medication errors (MEs) in the operating room. The ME types were grouped into 13 categories by their related harm (or potential harm), and researchers calculated the incidence of operations involving each ME category: 1) delayed or missed required perioperative antibiotic; 2) prolonged hemodynamic swings; 3) untreated postoperative pain; 4) residual neuromuscular blockade; 5) oxygen saturation <90% due to ME; 6) delayed emergence; 7) untreated new onset intraoperative cardiac arrhythmia; 8) medication documentation errors; 9) syringe swaps; 10) presumed hypotension with inability to obtain a blood pressure reading; 11) potential for bacterial contamination due to expired medication syringes; 12) untreated bradycardia <40 beats/min; and 13) other. Through a PubMed search, the researchers established the possibility that the ME category would cause downstream patient harm such as surgical site infection or acute kidney injury, and the additional fully allocated cost of care for each potential downstream patient harm event. The cost of the MEs across the U.S. healthcare system was then calculated by scaling the number of MEs to the total number of annual operations in the United States. The total additional fully allocated annual cost of care due to perioperative MEs was estimated to be $5.33 billion U.S. dollars.
AHRQ-funded; HS024764.
Citation: Langlieb ME, Sharma P, Hocevar M .
The additional cost of perioperative medication errors.
J Patient Saf 2023 Oct 1; 19(6):375-78. doi: 10.1097/pts.0000000000001136..
Keywords: Medication: Safety, Medication, Medical Errors, Adverse Drug Events (ADE), Adverse Events, Surgery, Patient Safety
Kalenderian E, Bangar S, Yansane A
Identifying contributing factors associated with dental adverse events through a pragmatic electronic health record-based root cause analysis.
This study’s objective was to analyze harmful dental adverse events (AEs) to assess potential contributing factors. Harmful AEs were defined as those that resulted in temporary moderate to severe harm, required hospitalization, or resulted in permanent moderate to severe harm. The authors classified potential contributing factors according to (1) who was involved (person), (2) what were they doing (tasks), (3) what tools/technologies were they using (tools/technologies), (4) where did the event take place (environment), (5) what organizational conditions contributed to the event? (organization), (6) patient (including parents), and (7) professional-professional collaboration. A second review was conducted by a blinded panel of dental experts to confirm the presence of an AE. A total of 59 cases at 2 dental institutions had 1 or more harmful AEs. The most common harmful AE was pain (27.1%) followed by nerve injury (16.9%), hard tissue injury (15.2%), and soft tissue injury (15.2%). The most common contribution factor was the care provider (training, supervision, and fatigue at 31.5%) followed by patient ((noncompliance, unsafe practices at home, low health literacy, 17.1%), and professional-professional collaboration (15.3%).
AHRQ-funded; HS027268.
Citation: Kalenderian E, Bangar S, Yansane A .
Identifying contributing factors associated with dental adverse events through a pragmatic electronic health record-based root cause analysis.
J Patient Saf 2023 Aug 1; 19(5):305-12. doi: 10.1097/pts.0000000000001122..
Keywords: Dental and Oral Health, Adverse Events, Electronic Health Records (EHRs), Health Information Technology (HIT), Medical Errors, Patient Safety
Liberman AL, Wang Z, Zhu Y
Optimizing measurement of misdiagnosis-related harms using Symptom-Disease Pair Analysis of Diagnostic Error (SPADE): comparison groups to maximize SPADE validity.
The purpose of this paper was to clarify features of the Symptom-Disease Pair Analysis of Diagnostic Error (SPADE) approach to accurately measure diagnostic errors to assure that researchers utilize this method to yield valid results, as well as improve the validity of SPADE and related approaches to quantify diagnostic error in medicine. The researchers describe four types of comparators (intra-group and inter-group), detailing the reason for selecting one over the other and conclusions that can be drawn from these comparative analyses.
AHRQ-funded; HS027614.
Citation: Liberman AL, Wang Z, Zhu Y .
Optimizing measurement of misdiagnosis-related harms using Symptom-Disease Pair Analysis of Diagnostic Error (SPADE): comparison groups to maximize SPADE validity.
Diagnosis 2023 Aug 1; 10(3):225-34. doi: 10.1515/dx-2022-0130..
Keywords: Diagnostic Safety and Quality, Medical Errors, Adverse Events, Electronic Health Records (EHRs), Health Information Technology (HIT), Patient Safety
Taft T, Rudd EA, Thraen I
"Are we there yet?" Ten persistent hazards and inefficiencies with the use of medication administration technology from the perspective of practicing nurses.
The objectives of this study were to characterize persistent hazards and inefficiencies in inpatient medication administration, to explore cognitive attributes of medication administration tasks, and to discuss strategies to reduce technology-related hazards. Researchers interviewed nurses at two urban US health systems. Persistent safety hazards and inefficiencies related to medication administration technology were organized around the perception-action cycle (PAC) cycle. The researchers concluded that errors may persist in medication administration despite successful deployment of Bar Code Medication Administration and Electronic Medication Administration Record. Opportunities to improve would require a deeper understanding of high-level reasoning in medication administration.
AHRQ-funded; HS025136.
Citation: Taft T, Rudd EA, Thraen I .
"Are we there yet?" Ten persistent hazards and inefficiencies with the use of medication administration technology from the perspective of practicing nurses.
J Am Med Inform Assoc 2023 Apr 19; 30(5):809-18. doi: 10.1093/jamia/ocad031..
Keywords: Medication, Electronic Prescribing (E-Prescribing), Health Information Technology (HIT), Patient Safety, Adverse Drug Events (ADE), Medical Errors, Medication: Safety
Grauer A, Rosen A, Applebaum JR
Examining medication ordering errors using AHRQ network of patient safety databases.
Research on the impact of Computerized Physician Order Entry (CPOE) systems on drug order inaccuracies has shown inconsistent results, with CPOE not reliably preventing such mistakes. The study utilized the Network of Patient Safety Databases (NPSD) from the Agency for Healthcare Research and Quality (AHRQ) to explore the frequency and degree of harm associated with reported events during the ordering stage, and to classify them by error type.
The researchers conducted a retrospective analysis of reported safety incidents provided by healthcare systems associated with patient safety organizations from June 2010 to December 2020. All errors related to medication and other substance orders reported to the NPSD using the common format v1.2 during this period were assessed. The researchers grouped and categorized the prevalence of reported medication order errors by error type, harm levels, and demographic data. The study found that during the study period, 12,830 mistakes were reported. Incorrect dosage accounted for 3,812 errors (29.7%), followed by incorrect medicine 2,086 (16.3%), and incorrect duration 765 (6.0%). Out of 5,282 incidents that affected the patient and had a known severity level, 12 resulted in fatalities, 4 led to severe harm, 45 caused moderate harm, 341 led to minor harm, and 4,880 resulted in no harm. The study concluded that the most frequently reported and damaging types of medication order errors were incorrect dose and incorrect medication orders.
The researchers conducted a retrospective analysis of reported safety incidents provided by healthcare systems associated with patient safety organizations from June 2010 to December 2020. All errors related to medication and other substance orders reported to the NPSD using the common format v1.2 during this period were assessed. The researchers grouped and categorized the prevalence of reported medication order errors by error type, harm levels, and demographic data. The study found that during the study period, 12,830 mistakes were reported. Incorrect dosage accounted for 3,812 errors (29.7%), followed by incorrect medicine 2,086 (16.3%), and incorrect duration 765 (6.0%). Out of 5,282 incidents that affected the patient and had a known severity level, 12 resulted in fatalities, 4 led to severe harm, 45 caused moderate harm, 341 led to minor harm, and 4,880 resulted in no harm. The study concluded that the most frequently reported and damaging types of medication order errors were incorrect dose and incorrect medication orders.
AHRQ-funded; HS026121.
Citation: Grauer A, Rosen A, Applebaum JR .
Examining medication ordering errors using AHRQ network of patient safety databases.
J Am Med Inform Assoc 2023 Apr 19; 30(5):838-45. doi: 10.1093/jamia/ocad007..
Keywords: Medication, Adverse Drug Events (ADE), Adverse Events, Medical Errors, Patient Safety, Electronic Prescribing (E-Prescribing), Health Information Technology (HIT), Medication: Safety
Wong CI, Vannatta K, Gilleland Marchak J
Preventable harm because of outpatient medication errors among children with leukemia and lymphoma: a multisite longitudinal assessment.
The goal of this longitudinal study was to characterize rates and types of medication errors and harm to outpatient children with leukemia and lymphoma over seven months of treatment. The study included children taking medications at home for leukemia or lymphoma from three pediatric cancer centers. Ten percent experienced adverse drug events because of outpatient medication errors. Twenty-six percent of caregivers reported miscommunication leading to missed doses or overdoses. The authors concluded that improvements addressing communication with and among caregivers should be based on human-factors engineering and codeveloped with families.
AHRQ-funded; HS024390.
Citation: Wong CI, Vannatta K, Gilleland Marchak J .
Preventable harm because of outpatient medication errors among children with leukemia and lymphoma: a multisite longitudinal assessment.
Cancer 2023 Apr 1;129(7):1064-74. doi: 10.1002/cncr.34651.
Keywords: Children/Adolescents, Cancer, Adverse Drug Events (ADE), Adverse Events, Medical Errors, Ambulatory Care and Surgery, Medication: Safety, Patient Safety
Hansten PD, Tan MS, Horn JR
Colchicine drug interaction errors and misunderstandings: recommendations for improved evidence-based management.
Colchicine serves as an effective therapy for the management and prevention of gout and various other medical conditions. As a substrate for CYP3A4 and P-glycoprotein (P-gp), its simultaneous use with CYP3A4/P-gp inhibitors can lead to critical drug-drug interactions (DDIs) that may result in pancytopenia, multiorgan dysfunction, and cardiac irregularities. Additionally, colchicine's potential for myotoxicity could elevate the risk of myopathy and rhabdomyolysis when combined with other myotoxic medications. Numerous sources of DDI information, encompassing journal articles, product labels, and online resources, contain inaccuracies or vague statements regarding colchicine's interactions with other drugs and subpar guidance on managing DDIs to minimize patient harm. Moreover, assessments of the clinical significance of specific colchicine DDIs can differ substantially between sources. The purpose of this study was to present an evidence-based analysis of drugs that are likely to interact with colchicine, as well as those that have been cited to interact but are improbable to do so. Based on these assessments, the researchers proposes strategies to mitigate the risk of severe adverse consequences from colchicine DDIs. The frequent recommendation to decrease colchicine dosage when administered with CYP3A4/P-gp inhibitors may, in some cases, lead to colchicine toxicity or therapeutic failure. An exhaustive evaluation of nearly 100 documented instances of colchicine DDIs is provided in a table within the electronic supplementary material. While colchicine is a beneficial medication, enhancements to the available information on colchicine DDIs are necessary to reduce the risk of serious adverse events.
AHRQ-funded; HS025984
Citation: Hansten PD, Tan MS, Horn JR .
Colchicine drug interaction errors and misunderstandings: recommendations for improved evidence-based management.
Drug Saf 2023 Mar;46(3):223-42. doi: 10.1007/s40264-022-01265-1.
Keywords: Medication, Adverse Drug Events (ADE), Adverse Events, Medical Errors, Evidence-Based Practice
Griffey RT, Schneider RM, Todorov AA
Near-miss events detected using the emergency department trigger tool.
The purpose of this study was to explore near misses and their significance for quality and safety in the emergency department (ED). This study presents a secondary analysis of data from a retrospective investigation of the ED Trigger Tool (EDTT) at an urban, academic ED. The EDTT, a computerized query for triggers, was applied to 13 months of ED visit data, and 5582 selected records were reviewed using a two-tiered approach. Events were categorized by occurrence (ED vs. present on arrival [POA]), severity, omission/commission, and type, employing a taxonomy featuring categories, subcategories, and cross-cutting modifiers. The researchers identified 1458 ED near misses in 1269 of the 5582 records and 80 near misses that were POA. Patient care events constituted the majority of ED near misses, including diagnostic delays, treatment delays, and monitoring failures, primarily influenced by ED boarding and overcrowding. Medication events ranked second in frequency (17%), with 80 medication administration errors identified. Among the 80 POA events, 42% were linked to overanticoagulation. It was estimated that 19.3% of all ED visits involved a near miss.
AHRQ-funded; HS027811; HS025052.
Citation: Griffey RT, Schneider RM, Todorov AA .
Near-miss events detected using the emergency department trigger tool.
J Patient Saf 2023 Mar 1; 19(2):59-66. doi: 10.1097/pts.0000000000001092..
Keywords: Emergency Department, Patient Safety, Adverse Events, Medical Errors
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
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
Ostrovsky D, Novack V, Smulowitz PB
Perspectives of emergency clinicians about medical errors resulting in patient harm or malpractice litigation.
This cross-sectional study examined survey responses about medical error outcomes completed by emergency department attending physicians and advanced practice clinicians regarding what might be considered excessive testing. The authors surveyed 1222 clinicians and the mean score was greater for fear of harm to patients than fear of a malpractice suit. This finding was true regardless of clinician subtype, experience, or sex.
AHRQ-funded; HS026730.
Citation: Ostrovsky D, Novack V, Smulowitz PB .
Perspectives of emergency clinicians about medical errors resulting in patient harm or malpractice litigation.
JAMA Netw Open 2022 Nov;5(11):e2241461. doi: 10.1001/jamanetworkopen.2022.41461..
Keywords: Emergency Department, Medical Errors, Adverse Events, Patient Safety
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)
Lusk C, Catchpole K, Neyens DM
Improving safety in the operating room: medication icon labels increase visibility and discrimination.
The purpose of this study was to assess whether the addition of icons to medication labels in an operating room setting would improve visibility and reduce medication administration errors. The multi-disciplinary team of researchers added icons to medication labels applied to vasoactive medication infusions, and the study found that participants were 1.12 times more likely to correctly identify medications with icons from farther away. In addition, when icons were present on the labels, participants were 2.16 times more likely to be more confident in their identifications.
AHRQ-funded; HS026625.
Citation: Lusk C, Catchpole K, Neyens DM .
Improving safety in the operating room: medication icon labels increase visibility and discrimination.
Appl Ergon 2022 Oct;104:103831. doi: 10.1016/j.apergo.2022.103831..
Keywords: Medication: Safety, Medication, Patient Safety, Medical Errors, Adverse Drug Events (ADE), Adverse Events
Halvorson EE, Thurtle DP, Easter A
Disparities in adverse event reporting for hospitalized children.
The authors compared the adverse event (AE) rate identified by voluntary event reporting (VER) with that identified using the Global Assessment of Pediatric Patient Safety (GAPPS) between hospitalized children by weight category, race, and English proficiency. In the population studied, they identified 288 total AEs, 270 by the GAPPS and 18 by VER. They found a disparity in AE reporting for children with limited English proficiency, with fewer AEs by VER compared with no difference in AEs by GAPPS. They identified no disparities by weight category or race. They concluded that voluntary event reporting may systematically underreport AEs in hospitalized children with limited English proficiency.
AHRQ-funded; HS026038.
Citation: Halvorson EE, Thurtle DP, Easter A .
Disparities in adverse event reporting for hospitalized children.
J Patient Saf 2022 Sep 1;18(6):e928-e33. doi: 10.1097/pts.0000000000001049..
Keywords: Children/Adolescents, Disparities, Adverse Events, Medical Errors, Patient Safety, Hospitals, Hospitalization, Inpatient Care
Mercer AN, Mauskar S, Baird J
Family safety reporting in hospitalized children with medical complexity.
This prospective cohort study was conducted to evaluate safety concerns from families of hospitalized children with medical complexity (CMC) who are at high risk of medical errors. This survey was done predischarge with English- and Spanish-speaking parents/staff of hospitalized CMC on 5 units caring for complex care patients at a tertiary care children's hospital. A total of 155 parents and 214 staff completed surveys, with 43% (n = 66) having ≥1 hospital safety concerns, totaling 115 concerns (1-6 concerns each). A physician review found that 69% of concerns were medical errors, and 22% nonsafety-related quality issues. Most parents (68%) reported concerns to staff, particularly bedside nurses, but only 32% of parents recalled being told how to report safety concerns. Higher education and longer length of stay were associated with family safety concerns.
AHRQ-funded; HS025781.
Citation: Mercer AN, Mauskar S, Baird J .
Family safety reporting in hospitalized children with medical complexity.
Pediatrics 2022 Aug 1; 150(2):e2021055098. doi: 10.1542/peds.2021-055098..
Keywords: Children/Adolescents, Family Health and History, Chronic Conditions, Patient Safety, Medical Errors, Adverse Events, Inpatient Care
Gonzales HM, Fleming JN, Gebregziabher M
A critical analysis of the specific pharmacist interventions and risk assessments during the 12-month TRANSAFE Rx randomized controlled trial.
The objective of this study was to describe frequency and types of interventions made during a pharmacist-led, mobile health-based intervention of high-risk kidney transplant (KTX) recipients and to assess impact on patient risk levels. Primary pharmacist intervention types were medication reconciliation, patient education, and medication changes. The authors concluded that pharmacist-led mHealth may enhance opportunities for interventions and mitigate risk levels in KTX recipients.
AHRQ-funded; HS023754.
Citation: Gonzales HM, Fleming JN, Gebregziabher M .
A critical analysis of the specific pharmacist interventions and risk assessments during the 12-month TRANSAFE Rx randomized controlled trial.
Ann Pharmacother 2022 Jun; 56(6):685-90. doi: 10.1177/10600280211044792..
Keywords: Provider: Pharmacist, Medication: Safety, Medication, Risk, Transplantation, Kidney Disease and Health, Adverse Drug Events (ADE), Medical Errors, Patient Safety