BACKGROUND: Failure to follow up microbiology results pending at discharge can delay appropriate treatment, increasing the risk of patient harm and litigation. Limited data describe the frequency of postdischarge microbiology results requiring a treatment change. OBJECTIVE: To determine the incidence and predictors of postdischarge microbiology results requiring follow-up. DESIGN: Cross-sectional. SETTING: Large academic hospital during 2007. MEASUREMENTS: We evaluated blood, urine, sputum, and cerebrospinal fluid (CSF) cultures ordered for hospitalized patients. We identified cultures that returned postdischarge and determined which were clinically important and not treated by an antibiotic to which they were susceptible. We reviewed a random subset to assess the potential need for antibiotic change. Using logistic regression, we identified significant predictors of results requiring follow-up. RESULTS: Of 77,349 inpatient culture results, 8668 (11%) returned postdischarge. Of these, 385 (4%) were clinically important and untreated at discharge. Among 94 manually reviewed cases, 53% potentially required a change in therapy. Urine cultures were more likely to potentially require therapy change than non-urine cultures (OR 2.8, 95% CI 1.1-7.2; P = 0.03). Also, 76% of 25 results from surgical services potentially required a therapy change, compared with 59% of 29 results from general medicine, 38% of 16 results from oncology, and 33% of 24 results from medical subspecialties. Overall, 2.4% of postdischarge cultures potentially necessitated an antibiotic change. CONCLUSIONS: Many microbiology results return postdischarge and some necessitate a change in treatment. These results arise from many specialties, suggesting the need for a hospital-wide system to ensure effective communication of these results.
BACKGROUND: Failure to follow up microbiology results pending at discharge can delay appropriate treatment, increasing the risk of patient harm and litigation. Limited data describe the frequency of postdischarge microbiology results requiring a treatment change. OBJECTIVE: To determine the incidence and predictors of postdischarge microbiology results requiring follow-up. DESIGN: Cross-sectional. SETTING: Large academic hospital during 2007. MEASUREMENTS: We evaluated blood, urine, sputum, and cerebrospinal fluid (CSF) cultures ordered for hospitalized patients. We identified cultures that returned postdischarge and determined which were clinically important and not treated by an antibiotic to which they were susceptible. We reviewed a random subset to assess the potential need for antibiotic change. Using logistic regression, we identified significant predictors of results requiring follow-up. RESULTS: Of 77,349 inpatient culture results, 8668 (11%) returned postdischarge. Of these, 385 (4%) were clinically important and untreated at discharge. Among 94 manually reviewed cases, 53% potentially required a change in therapy. Urine cultures were more likely to potentially require therapy change than non-urine cultures (OR 2.8, 95% CI 1.1-7.2; P = 0.03). Also, 76% of 25 results from surgical services potentially required a therapy change, compared with 59% of 29 results from general medicine, 38% of 16 results from oncology, and 33% of 24 results from medical subspecialties. Overall, 2.4% of postdischarge cultures potentially necessitated an antibiotic change. CONCLUSIONS: Many microbiology results return postdischarge and some necessitate a change in treatment. These results arise from many specialties, suggesting the need for a hospital-wide system to ensure effective communication of these results.
Authors: L L Leape; T A Brennan; N Laird; A G Lawthers; A R Localio; B A Barnes; L Hebert; J P Newhouse; P C Weiler; H Hiatt Journal: N Engl J Med Date: 1991-02-07 Impact factor: 91.245
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Authors: E J Thomas; D M Studdert; H R Burstin; E J Orav; T Zeena; E J Williams; K M Howard; P C Weiler; T A Brennan Journal: Med Care Date: 2000-03 Impact factor: 2.983
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Authors: Anuj K Dalal; Adam Schaffer; Esteban F Gershanik; Ranganath Papanna; Katyuska Eibensteiner; Nyryan V Nolido; Cathy S Yoon; Deborah Williams; Stuart R Lipsitz; Christopher L Roy; Jeffrey L Schnipper Journal: J Gen Intern Med Date: 2018-03-12 Impact factor: 5.128