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1.
Infect Control Hosp Epidemiol ; 40(6): 668-673, 2019 06.
Article in English | MEDLINE | ID: mdl-31012405

ABSTRACT

OBJECTIVE: To evaluate the impact of a hard stop in the electronic health record (EHR) on inappropriate gastrointestinal pathogen panel testing (GIPP). DESIGN: We used a quasi-experimental study to evaluate testing before and after the implementation of an EHR alert to stop inappropriate GIPP ordering. SETTING: Midwest academic medical center. PARTICIPANTS: Hospitalized patients with diarrhea for which GIPP testing was ordered, between January 2016 through March 2017 (period 1) and April 2017 through June 2018 (period 2). INTERVENTION: A hard stop in the EHR prevented clinicians from ordering a GIPP more than once per admission or in patients hospitalized for >72 hours. RESULTS: During period 1, 1,587 GIPP tests were ordered over 212,212 patient days, at a rate of 7.48 per 1,000 patient days. In period 2, 1,165 GIPP tests were ordered over 222,343 patient days, at a rate of 5.24 per 1,000 patient days. The Poisson model estimated a 30% reduction in total GIPP ordering rates between the 2 periods (relative risk, 0.70; 95% confidence interval [CI], 0.63-0.78; P 72 hours.


Subject(s)
Diarrhea/diagnosis , Electronic Health Records , Practice Patterns, Physicians'/statistics & numerical data , Unnecessary Procedures/statistics & numerical data , Academic Medical Centers , Cost-Benefit Analysis , Feces/microbiology , Feces/parasitology , Feces/virology , Humans , Nebraska , Practice Patterns, Physicians'/economics , Unnecessary Procedures/economics
2.
Am J Med Qual ; 34(6): 607-614, 2019.
Article in English | MEDLINE | ID: mdl-30834776

ABSTRACT

Unnecessary hospital readmissions increase patient burden, decrease health care quality and efficiency, and raise overall costs. This retrospective cohort study sought to identify high-risk patients who may serve as targets for interventions aiming at reducing hospital readmissions. The authors compared geospatial, social demographic, and clinical characteristics of patients with or without a 90-day readmission. Electronic health records of 42 330 adult patients admitted to 2 Midwestern hospitals during 2013 to 2016 were used, and logistic regression was performed to determine risk factors for readmission. The 90-day readmission percentage was 14.9%. Two main groups of patients with significantly higher odds of a 90-day readmission included those with severe conditions, particularly those with a short length of stay at incident admission, and patients with Medicare but younger than age 65. These findings expand knowledge of potential risk factors related to readmissions. Future interventions to reduce hospital readmissions may focus on the aforementioned high-risk patient groups.


Subject(s)
Patient Readmission/statistics & numerical data , Social Determinants of Health/statistics & numerical data , Spatial Analysis , Adult , Age Factors , Aged , Female , Humans , Length of Stay , Male , Middle Aged , Retrospective Studies , Risk Factors , Severity of Illness Index , Sex Factors , Socioeconomic Factors , United States , Young Adult
3.
J Pharm Pract ; 23(1): 6-18, 2010 Feb.
Article in English | MEDLINE | ID: mdl-21507788

ABSTRACT

Critical illness results in a constellation of physiologic changes that subsequently impact antibiotic pharmacokinetic and pharmacodynamic parameters. These changes can result in poorly treated infections that in turn lead to longer intensive care unit (ICU) and hospital stays, prolonged use of mechanical ventilation, and higher mortality rates. Research has expanded our understanding of antibiotic pharmacodynamics among ICU patients, and some investigators and clinicians have questioned traditional antibiotic dosing schemes among this population. Alternative dosing strategies to optimize antibiotic pharmacodynamics of aminoglycosides, beta-lactams, fluoroquinolones, and vancomycin have been explored. Appropriate duration of exposure to beta-lactam antibiotics has been recognized as an important parameter associated with successful treatment outcomes. To maximize this exposure, continuous infusions over a 24-hour period have resulted in higher clinical response rates and improved surrogate markers of infection. Equally as promising is the alternative of extending the infusion time to increase exposure while maintaining the same daily beta-lactam dose and frequency. Data from clinical trials have suggested that the area under the concentration-time curve to minimum inhibitory concentration ratio for aminoglycosides, fluoroquinolones, and vancomycin is a better correlate for successful treatment outcomes. Optimizing antibiotic pharmacodynamics by changing dosage methods should be considered in ICU patients to improve treatment response and success.


Subject(s)
Anti-Infective Agents/administration & dosage , Anti-Infective Agents/pharmacokinetics , Critical Illness/therapy , Animals , Anti-Bacterial Agents/pharmacokinetics , Anti-Bacterial Agents/therapeutic use , Anti-Infective Agents/therapeutic use , Area Under Curve , Dose-Response Relationship, Drug , Drug Resistance, Multiple, Bacterial/drug effects , Drug Resistance, Multiple, Bacterial/physiology , Humans , Infusions, Intravenous , Microbial Sensitivity Tests/methods
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