OBJECTIVE: We found previously that inappropriate inpatient antimicrobial use was often attributable to erroneous diagnoses. Here, we detail diagnostic errors and their relationship to inappropriate antimicrobial courses. DESIGN: Retrospective cohort study. SETTING: Veterans Affairs hospital. PATIENTS: A cohort of 500 randomly selected inpatients with an antimicrobial course. METHODS: Blinded reviewers judged the accuracy of the initial provider diagnosis for the condition that led to an antimicrobial course and whether the course was appropriate. RESULTS The diagnoses were correct in 291 cases (58%), incorrect in 156 cases (31%), and of indeterminate accuracy in 22 cases (4%). In the remaining 31 cases (6%), the diagnosis was a sign or symptom rather than a syndrome or disease. The odds ratio of a correct diagnosis was 4.3 (95% confidence interval [CI], 2.2-8.5) if the index condition was related to the reason for admission. When the diagnosis was correct, 181 of 292 courses (62%) were appropriate, compared with only 10 of 208 (5%) when the diagnosis was incorrect or indeterminate or when providers were treating a sign or symptom rather than a syndrome or disease (P<.001). Among the 309 cases in which antimicrobial courses were not appropriate, reasons varied by diagnostic accuracy; in 81 of 111 cases (73%) with a correct diagnosis, incorrect antimicrobial(s) were selected; in 166 of 198 other cases (84%), antimicrobial therapy was not indicated. CONCLUSIONS: Diagnostic accuracy is important for optimal inpatient antimicrobial use. Antimicrobial stewardship strategies should help providers avoid diagnostic errors and know when antimicrobial therapy can be withheld safely.
OBJECTIVE: We found previously that inappropriate inpatient antimicrobial use was often attributable to erroneous diagnoses. Here, we detail diagnostic errors and their relationship to inappropriate antimicrobial courses. DESIGN: Retrospective cohort study. SETTING: Veterans Affairs hospital. PATIENTS: A cohort of 500 randomly selected inpatients with an antimicrobial course. METHODS: Blinded reviewers judged the accuracy of the initial provider diagnosis for the condition that led to an antimicrobial course and whether the course was appropriate. RESULTS The diagnoses were correct in 291 cases (58%), incorrect in 156 cases (31%), and of indeterminate accuracy in 22 cases (4%). In the remaining 31 cases (6%), the diagnosis was a sign or symptom rather than a syndrome or disease. The odds ratio of a correct diagnosis was 4.3 (95% confidence interval [CI], 2.2-8.5) if the index condition was related to the reason for admission. When the diagnosis was correct, 181 of 292 courses (62%) were appropriate, compared with only 10 of 208 (5%) when the diagnosis was incorrect or indeterminate or when providers were treating a sign or symptom rather than a syndrome or disease (P<.001). Among the 309 cases in which antimicrobial courses were not appropriate, reasons varied by diagnostic accuracy; in 81 of 111 cases (73%) with a correct diagnosis, incorrect antimicrobial(s) were selected; in 166 of 198 other cases (84%), antimicrobial therapy was not indicated. CONCLUSIONS: Diagnostic accuracy is important for optimal inpatient antimicrobial use. Antimicrobial stewardship strategies should help providers avoid diagnostic errors and know when antimicrobial therapy can be withheld safely.
Authors: Saniya Singh; Chris Degeling; Dominic Fernandez; Amy Montgomery; Peter Caputi; Frank P Deane Journal: Antimicrob Resist Infect Control Date: 2022-06-28 Impact factor: 6.454
Authors: Atupele Kapito-Tembo; Don Mathanga; Andrew Bauleni; Osward Nyirenda; Paul Pensulo; Doreen Ali; Clarissa Valim; Terrie E Taylor; Miriam K Laufer Journal: Am J Trop Med Hyg Date: 2020-06-18 Impact factor: 2.345
Authors: Charles Frenette; David Sperlea; Greg J German; Kevin Afra; Jennifer Boswell; Sandra Chang; Herman Goossens; Jennifer Grant; Marie-Astrid Lefebvre; Allison McGeer; Dominic Mertz; Michelle Science; Ann Versporten; Daniel J G Thirion Journal: Antimicrob Resist Infect Control Date: 2020-07-11 Impact factor: 4.887