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Biomedical subjects

Jason M Sutherland

Publications and source records attributed to Jason M Sutherland.

4 recordsLinked to original sources

Antimicrobial use control measures to prevent and control antimicrobial resistance in US hospitals.

OBJECTIVE: Clinical practice guidelines and recommended practices to control use of antibiotics have been published, but the effect of these practices on antimicrobial resistance (AMR) rates in hospitals is unknown. The objective of this study was to examine relationships between antimicrobial use control strategies and AMR rates in a national sample of US hospitals. DESIGN: Cross-sectional, stratified study of a nationally representative sample of US hospitals. METHODS: A survey instrument was sent to the person responsible for infection control at a sample of 670 US hospitals. The outcome was current prevalences of 4 epidemiologically important, drug-resistant pathogens, considered concurrently: methicillin-resistant Staphylococcus aureus (MRSA), vancomycin-resistant enterococci, ceftazidime-resistant Klebsiella species, and quinolone (ciprofloxacin)-resistant Escherichia coli. Five independent variables regarding hospital practices were selected from the survey: the extent to which hospitals (1) implement practices recommended in clinical practice guidelines and ensure best practices for antimicrobial use, (2) disseminate information on clinical practice guidelines for antimicrobial use, (3) use antimicrobial-related information technology, (4) use decision support tools, and (5) communicate to prescribers about antimicrobial use. Control variables included the hospitals' number of beds, teaching status, Veterans Affairs status, geographic region, and number of long-term care beds; and the presence of an intensive care unit, a burn unit, or transplant services. A generalized estimating equation modeled all resistance rates simultaneously to identify overall predictors of AMR levels at the facility. RESULTS: Completed survey instruments were returned by 448 hospitals (67%). Four antimicrobial control measures were associated with higher prevalence of AMR. Implementation of recommended practices for antimicrobial use (P < .01) and optimization of the duration of empirical antibiotic prophylaxis (P < .01) were associated with a lower prevalence of AMR. Use of restrictive formularies (P = .05) and dissemination of clinical practice guideline information (P < .01) were associated with higher prevalence of AMR. Number of beds and Veterans Affairs status were also associated with higher AMR rates overall. CONCLUSIONS: Implementation of guideline-recommended practices to control antimicrobial use and optimize the duration of empirical therapy appears to help control AMR rates in US hospitals. A longitudinal study would confirm the results of this cross-sectional study. These results highlight the need for systems interventions and reengineering to ensure more-consistent application of guideline-recommended measures for antimicrobial use.

Anti-Bacterial Agents↗

The effect of misclassification errors on case mix measurement.

Case mix systems have been implemented for hospital reimbursement and performance measurement across Europe and North America. Case mix categorizes patients into discrete groups based on clinical information obtained from patient charts in an attempt to identify clinical or cost difference amongst these groups. The diagnosis related group (DRG) case mix system is the most common methodology, with variants adopted in many countries. External validation studies of coding quality have confirmed that widespread variability exists between originally recorded diagnoses and re-abstracted clinical information. DRG assignment errors in hospitals that share patient level cost data for the purpose of establishing cost weights affects cost weight accuracy. The purpose of this study is to estimate bias in cost weights due to measurement error of reported clinical information. DRG assignment error rates are simulated based on recent clinical re-abstraction study results. Our simulation study estimates that 47% of cost weights representing the least severe cases are over weight by 10%, while 32% of cost weights representing the most severe cases are under weight by 10%. Applying the simulated weights to a cross-section of hospitals, we find that teaching hospitals tend to be under weight. Since inaccurate cost weights challenges the ability of case mix systems to accurately reflect patient mix and may lead to potential distortions in hospital funding, bias in hospital case mix measurement highlights the role clinical data quality plays in hospital funding in countries that use DRG-type case mix systems. Quality of clinical information should be carefully considered from hospitals that contribute financial data for establishing cost weights.

Diagnosis-Related Groups↗

Hypertension outcomes through blood pressure monitoring and evaluation by pharmacists (HOME study).

OBJECTIVE: To evaluate the effectiveness of a community pharmacist-based home blood pressure (BP) monitoring program. DESIGN: Trial of a high-intensity (HI) versus low-intensity (LI) intervention randomized in 12 community pharmacies. The HI intervention comprised 4 face-to-face visits with a trained pharmacist. Pharmacists provided patient-specific education about hypertension. Following the first and third visits, patients were provided with a home BP monitoring device and instructed to measure their BP at least once daily for the next month. Home BP readings were used by the pharmacists to develop treatment recommendations for the patient's physician. Recommendations were discussed with the physician and, if approved, implemented by the pharmacist. In the LI intervention, pharmacists measured patients BP in the pharmacy and referred them to their physician for evaluation. PARTICIPANTS: Patients with uncontrolled BP at baseline. MEASUREMENTS: The main outcomes were the differences in systolic and diastolic BP (SBP and DBP) from baseline to follow-up between the HI and LI patients. RESULTS: The study enrolled 125 patients, 64 in the HI and 61 in the LI group. From baseline, SBP declined 13.4 mmHg in the HI group and 9.0 mmHg in the LI group. At the final visit, the difference in SBP/DBP change between the HI and LI group was -4.5/-3.2 mmHg (P=.12 for SBP and P=.03 for DBP). CONCLUSIONS: The HI intervention achieved a lower DBP and this model could be a strategy for patients with hypertension.

Aged↗