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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
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1 to 2 of 2 Research Studies DisplayedCifra 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
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