Stephen D. Flach

Antimicrobial Resistance Trends and Outbreak Frequency in United States Hospitals

We assessed resistance rates and trends for important antimicrobial-resistant pathogens (oxacillin-resistant Staphylococcus aureus [ORSA], vancomycin-resistant Enterococcus species [VRE], ceftazidime-resistant Klebsiella species [K-ESBL], and ciprofloxacin-resistant Escherichia coli [QREC]), the frequency of outbreaks of infection with these resistant pathogens, and the measures taken to control resistance in a stratified national sample of 670 hospitals. Four hundred ninety-four (74%) of 670 surveys were returned. Resistance rates were highest for ORSA (36%), followed by VRE (10%), QREC (6%), and K-ESBL (5%). Two-thirds of hospitals reported increasing ORSA rates, whereas only 4% reported decreasing rates, and 24% reported ORSA outbreaks within the previous year. Most hospitals (87%) reported having implemented measures to rapidly detect resistance, but only approximately 50% reported having provided appropriate resources for antimicrobial resistance prevention (53%) or having implemented antimicrobial use guidelines (60%). The most common resistant pathogen in US hospitals is ORSA, which accounts for many recognized outbreaks and is increasing in frequency in most facilities. Current practices to prevent and control antimicrobial resistance are inadequate.

Does Patient-centered Care Improve Provision of Preventive Services?

AbstractOBJECTIVES: While patient-centered care (PCC) is desirable for many reasons, its relationship to treatment outcomes is controversial. We evaluated the relationship between PCC and the provision of preventive services. METHODS: We obtained facility-level estimates of how well each VA hospital provided PCC from the 1999 ambulatory Veterans Satisfaction Survey. PCC delivery was measured by the average percentage of responses per facility indicating satisfactory performance from items in 8 PCC domains: access, incorporating patient preferences, patient education, emotional support, visit coordination, overall coordination of care, continuity, and courtesy. Additional predictors included patient population and facility characteristics. Our outcome was a previously validated hospital-level benchmarking score describing facility-level performance across 12 U.S. Preventive Services Task Force-recommended interventions, using the 1999 Veterans Health Survey. RESULTS: Facility-level delivery of preventive services ranged from an overall mean of 90% compliance for influenza vaccinations to 18% for screening for seat belt use. Mean overall PCC scores ranged from excellent (>90% for the continuity of care and courtesy of care PCC domains) to modest (<70% for patient education). Correlates of better preventive service delivery included how often patients were able to discuss their concerns with their provider, the percent of visits at which patients saw their usual provider, and the percent of patients receiving >90% of care from a VA hospital. CONCLUSION: Improved communication between patients and providers, and continuity of care are associated with increased provision of preventive services, while other aspects of PCC are not strongly related to delivery of preventive services.

Physician Process and Patient Outcome Measures for Diabetes Care: Relationships to Organizational Characteristics

Background:Optimal diabetes management relies on providers adhering to evidence-based practice guidelines in the processes of care delivery and patients adhering to self-management recommendations to maximize patient outcomes. Purpose:To explore: (1) the degree to which providers adhere to the guidelines; (2) the extent of glycemic, lipid, and blood pressure control in patients with diabetes; and (3) the roles of organizational and patient population characteristics in affecting both provider adherence and patient outcome measures for diabetes. Design:Secondary data analysis of provider adherence and patient outcome measures from chart reviews, along with surveys of facility quality managers. Sample:We sampled 109 Veterans Affairs medical centers (VAMCs). Results:Analyses indicated that provider adherence to diabetes guidelines (ie, hemoglobin A1c, foot, eye, renal, and lipid screens) and patient outcome measures (ie, glycemic, lipid, and hypertension control plus nonsmoking status) are comparable or better in VAMCs than reported elsewhere. VAMCs with higher levels of provider adherence to diabetes guidelines had distinguishing organizational characteristics, including more frequent feedback on diabetes quality of care, designation of a guideline champion, timely implementation of quality-of-care changes, and greater acceptance of guideline applicability. VAMCs with better patient outcome measures for diabetes had more effective communication between physicians and nurses, used educational programs and Grand Rounds presentations to implement the diabetes guidelines, and had an overall patient population that was older and with a smaller percentage of black patients. Conclusions:Healthcare organizations can adopt many of the identified organizational characteristics to enhance the delivery of care in their settings.

Predictors of urinary tract infection based on artificial neural networks and genetic algorithms

BACKGROUND Among women who present with urinary complaints, only 50% are found to have urinary tract infection. Individual urinary symptoms and urinalysis are not sufficiently accurate to discriminate those with and without the diagnosis. METHODS We used artificial neural networks (ANN) coupled with genetic algorithms to evolve combinations of clinical variables optimized for predicting urinary tract infection. The ANN were applied to 212 women ages 19-84 who presented to an ambulatory clinic with urinary complaints. Urinary tract infection was defined in separate models as uropathogen counts of > or =10(5) colony-forming units (CFU) per milliliter, and counts of > or =10(2) CFU per milliliter. RESULTS Five-variable sets were evolved that classified cases of urinary tract infection and non-infection with receiver-operating characteristic (ROC) curve areas that ranged from 0.853 (for uropathogen counts of > or =10(5) CFU per milliliter) to 0.792 (for uropathogen counts of > or =10(2) CFU per milliliter). Predictor variables (which included urinary frequency, dysuria, foul urine odor, symptom duration, history of diabetes, leukocyte esterase on urine dipstick, and red blood cells, epithelial cells, and bacteria on urinalysis) differed depending on the pathogen count that defined urinary tract infection. Network influence analyses showed that some variables predicted urine infection in unexpected ways, and interacted with other variables in making predictions. CONCLUSIONS ANN and genetic algorithms can reveal parsimonious variable sets accurate for predicting urinary tract infection, and novel relationships between symptoms, urinalysis findings, and infection.

Variation in the Use of Procedures to Monitor Antimicrobial Resistance in U.S. Hospitals

BACKGROUND Antimicrobial resistance is a growing clinical and public health crisis. Experts have recommended measures to monitor antimicrobial resistance; however, little is known regarding their use. OBJECTIVE We describe the use of procedures to detect and report antimicrobial resistance in U.S. hospitals and the organizational and epidemiologic factors associated with their use. METHODS In 2001, we surveyed laboratory directors (n = 108) from a random national sample of hospitals. We studied five procedures to monitor antimicrobial resistance: (1) disseminating antibiograms to physicians at least annually, (2) notifying physicians of antimicrobial-resistant infections, (3) reporting susceptibility results within 24 hours, (4) using automated testing procedures, and (5) offering molecular typing. Explanatory variables included organizational characteristics and patterns of antimicrobial resistance for oxacillin-resistant Staphylococcus aureus, vancomycin-resistant enterococci, quinolone-resistant Escherichia coli, and extended-spectrum beta-lactamase-producing Klebsiella species. Generalized estimating equations accounting for the correlation among outcomes at the facility level were used to identify predictors of the five outcomes. RESULTS Use of the procedures ranged from 85% (automated testing) to 33% (offering molecular typing) and was related to teaching hospital status (OR, 3.1; CI95, 1.5-6.5), participation of laboratory directors on the infection control committee (OR, 1.7; CI95, 1.1-2.8), and having at least one antimicrobial-resistant pathogen with a prevalence greater than 10% (OR, 2.2; CI95, 1.4-3.3). CONCLUSION U.S. hospitals underutilize procedures to monitor the spread of antimicrobial resistance. Use of these procedures varies and is related to organizational and epidemiologic factors. Further efforts are needed to increase their use by hospitals.

The effects of proficiency and bias on residents' interpretation of the microscopic urinalysis

Objective . This study aims to determine whether residents are influenced by clinical information when interpreting microscopic urinalysis (UA) and estimating the probability of a urinary tract infection (UTI), and to determine the accuracy and reliability of UA readings. Design . Residents estimated the UA white blood cell count and the probability of a UTI in vignettes using a fractional factorial design, varying symptoms, gender, and the white blood cell count on preprepared urine slides. Results . Individual-level results indicated a clinical information bias and poor accuracy. Seventeen of 38 residents increased the white blood cell count in response to female gender; 14 increased the white blood cell count in response to UTI symptoms. Forty-nine percent of the readings were inaccurate; agreement ranged from 50% to 67% for white and red blood cells and bacteria. Conclusion . Many residents gave inaccurate UA readings, and many readings varied with clinical information. A significant portion of residents needs assistance in objectively and accurately interpreting the UA.

Classifying the effectiveness of Veterans Affairs guideline implementation approaches.

Hospitals use numerous guideline implementation approaches with varying success. Approaches have been classified as consistently, variably, or minimally effective, with multiple approaches being most effective. This project assesses the Department of Veterans Affairs (VA) use of effective guideline implementation approaches. A survey of 123 VA quality managers assessed the approaches used to implement the chronic obstructive pulmonary disease, diabetes mellitus, congestive heart failure, and major depressive disorder guidelines. Approaches were categorized based on their effectiveness, and the total number of approaches used was calculated. Commonly used approaches were clinical meetings, summaries, and revised forms. Consistently and minimally effective approaches were used most frequently. Most hospitals used 4P7 approaches. Odds ratios demonstrated that consistently effective approaches were paired with minimally and variably effective approaches. The frequent use of consistently effective approaches and multiple approaches benefits VA adherence. However, VA hospitals should consider selective combinations of approaches to ensure the use of the most effective implementation methods.

The Timing of Subsequent Treatment for Teeth Restored with Large Amalgams and Crowns: Factors Related to the Need for Subsequent Treatment

Crowns and large amalgams protect structurally compromised teeth to various degrees in different situations. The aim of this investigation was to evaluate the survival of teeth with these two types of restorations and the factors associated with better outcomes. Retrospective administrative and chart data were used. Survival was defined and modeled as: (1) receipt of no treatment and (2) receipt of no catastrophic treatment over five- and 10-year periods. Analyses included: Kaplan-Meier survival curves, Log-Rank tests, and Cox proportional hazards regression modeling. Crowns survived longer with no treatment and with no catastrophic treatment; however, mandibular large amalgams were least likely to have survived with no treatment, and maxillary large amalgams were least likely to have survived with no catastrophic treatment. Having no adjacent teeth also decreased survival. Crowns survived longer than large amalgams, but factors such as arch type and the presence of adjacent teeth contributed to the survival of large amalgams.

The relationship between treatment objectives and practice patterns in the management of urinary tract infections

Objective. To describe physicians’ goals when treating uncomplicated urinary tract infections (UTIs) and the relationship between goals and practice patterns. Study design. Analysis of survey results. Population. Primary care physicians. Outcomes measured. Self-reported treatment objectives and practice patterns. Results. Most physicians reported their UTI management was convenient for the patient (81.3%). Fewer stated they minimized patients’ costs (53.4%), made an accurate diagnosis (56.7%), or avoided unnecessary antibiotics (40.9%). Physicians who stressed convenience or minimizing patient expenses were less likely to use many resources (urine culture, microscopic urinalysis, followup visits and tests, and prolonged antibiotic treatment) and more likely to use telephone treatment. Physicians who stressed accurate diagnoses or avoiding unnecessary antibiotics were more likely to use the same resources and less likely to use telephone treatment. Conclusion. UTI management goals vary across physicians and are associated with different clinical approaches. Differences in treatment objectives may help explain variations in practice patterns.