Thomas Vaughn

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.

Percutaneous Injury, Blood Exposure, and Adherence to Standard Precautions: Are Hospital-Based Health Care Providers Still at Risk?

To examine factors associated with blood exposure and percutaneous injury among health care workers, we assessed occupational risk factors, compliance with standard precautions, frequency of exposure, and reporting in a stratified random sample of 5123 physicians, nurses, and medical technologists working in Iowa community hospitals. Of these, 3223 (63%) participated. Mean rates of hand washing (32%-54%), avoiding needle recapping (29%-70%), and underreporting sharps injuries (22%-62%; overall, 32%) varied by occupation (P<.01). Logistic regression was used to estimate the adjusted odds of percutaneous injury (aOR(injury)), which increased 2%-3% for each sharp handled in a typical week. The overall aOR(injury) for never recapping needles was 0.74 (95% CI, 0.60-0.91). Any recent blood contact, a measure of consistent use of barrier precautions, had an overall aOR(injury) of 1.57 (95% CI, 1.32-1.86); among physicians, the aOR(injury) was 2.18 (95% CI, 1.34-3.54). Adherence to standard precautions was found to be suboptimal. Underreporting was found to be common. Percutaneous injury and mucocutaneous blood exposure are related to frequency of sharps handling and inversely related to routine standard-precaution compliance. New strategies for preventing exposures, training, and monitoring adherence are needed.

Baccalaureate education in nursing and patient outcomes.

OBJECTIVES: The aim of this study was to examine the effects of registered nurse (RN) education by determining whether nurse-sensitive patient outcomes were better in hospitals with a higher proportion of RNs with baccalaureate degrees. BACKGROUND: The Future of Nursing report recommends increasing the percentage of RNs with baccalaureate degrees from 50% to 80% by 2020. Research has linked RN education levels to hospital mortality rates but not with other nurse-sensitive outcomes. METHODS: This was a cross-sectional study that, with the use of data from 21 University HealthSystem Consortium hospitals, analyzed the association between RN education and patient outcomes (risk-adjusted patient safety and quality of care indicators), controlling for nurse staffing and hospital characteristics. RESULTS: Hospitals with a higher percentage of RNs with baccalaureate or higher degrees had lower congestive heart failure mortality, decubitus ulcers, failure to rescue, and postoperative deep vein thrombosis or pulmonary embolism and shorter length of stay. CONCLUSION: The recommendation of the Future of Nursing report to increase RN education levels is supported by these findings.

Nurse staffing effects on patient outcomes: safety-net and non-safety-net hospitals.

BackgroundNurse staffing has been linked to hospital patient outcomes; however, previous results were inconsistent because of variations in measures of staffing and were only rarely specific to types of patient care units. ObjectiveTo determine the relationship between nurse staffing in general and intensive care units and patient outcomes and determine whether safety net status affects this relationship. Research DesignA cross-sectional design used data from hospitals belonging to the University HealthSystem Consortium. SubjectsData were available for approximately 1.1 million adult patient discharges and staffing for 872 patient care units from 54 hospitals. MeasuresTotal hours of nursing care [Registered Nurses (RNs), Licensed Practical Nurses, and assistants] determined per inpatient day (TotHPD) and RN skill mix were the measures of staffing; Agency for Healthcare Research and Quality risk-adjusted safety and quality indicators were the outcome measures. ResultsTotHPD in general units was associated with lower rates of congestive heart failure mortality (P<0.05), failure to rescue (P<0.10), infections (P<0.01), and prolonged length of stay (P<0.01). RN skill mix in general units was associated with reduced failure to rescue (P<0.01) and infections (P<0.05). TotHPD in intensive care units was associated with fewer infections (P<0.05) and decubitus ulcers (P<0.10). RN skill mix was associated with fewer cases of sepsis (P<0.01) and failure to rescue (P<0.05). Safety-net status was associated with higher rates of congestive heart failure mortality, decubitus ulcers, and failure to rescue. ConclusionsHigher nurse staffing protected patients from poor outcomes; however, hospital safety-net status introduced complexities in this relationship.

Understanding why medication administration errors may not be reported.

Because the identification and reporting of medication administration errors (MAE) is a nonautomated and voluntary process, it is important to understand potential barriers to MAE reporting. This paper describes and analyzes a survey instrument designed to assist in evaluating the relative importance of 15 different potential MAE-reporting barriers. Based on the responses of over 1300 nurses and a confirmatory LISREL analysis, the 15 potential barriers are combined into 4 subscales: Disagreement Over Error, Reporting Effort, Fear, and Administrative Response. The psychometric properties of this instrument and descriptive profiles are presented. Specific suggestions for enhancing MAE reporting are discussed.

Patient and Staff Safety: Voluntary Reporting

Central to efforts to assure the quality of patient care in hospitals is having accurate data about quality and patient problems. The purpose was to describe the reporting rates of medication administration errors (MAE), patient falls, and occupational injuries. A questionnaire was distributed to staff nurses (N = 1105 respondents) in a national sample of 25 hospitals. This addressed voluntary reporting, work environment factors, and reasons for not reporting occurrences. More than 80t indicated that all MAEs should be reported, but only 36% indicated that near misses should be reported. Perceived levels of actual reporting were: 47% of MAEs, 77% of patient falls, 48% of needlesticks, 22% of other exposures to body fluids, and 17% of back injuries. Administrative response to reports, personal fears, and unit quality management were related to reporting. Patient and staff safety occurrences are underreported. Strong quality management processes and positive responses to reports of occurrences may increase reporting and enhance safety.

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.

Cluster-Randomized Trial of a Physician/Pharmacist Collaborative Model to Improve Blood Pressure Control

Background—The purpose of this study was to evaluate if a physician/pharmacist collaborative model would be implemented as determined by improved blood pressure (BP) control in primary care medical offices with diverse geographic and patient characteristics and whether long-term BP control could be sustained. Methods and Results—Prospective, cluster-randomized trial of 32 primary care offices stratified and randomized to control, 9-month intervention (brief), and 24-month intervention (sustained). We enrolled 625 subjects with uncontrolled hypertension; 54% from racial/ethnic minority groups and 50% with diabetes mellitus or chronic kidney disease. The primary outcome of BP control at 9 months was 43% in intervention offices (n=401) compared with 34% in the control group (n=224; adjusted odds ratio, 1.57 [95% confidence interval, 0.99–2.50]; P=0.059). The adjusted difference in mean systolic/diastolic BP between the intervention and control groups for all subjects at 9 months was −6.1/−2.9 mm Hg (P=0.002 and P=0.005, respectively), and it was −6.4/−2.9 mm Hg (P=0.009 and P=0.044, respectively) in subjects from racial or ethnic minorities. BP control and mean BP were significantly improved in subjects from racial minorities in intervention offices at 18 and 24 months (P=0.048 to P<0.001) compared with the control group. Conclusions—Although the results of the primary outcome (BP control) were negative, the key secondary end point (mean BP) was significantly improved in the intervention group. Thus, the findings for secondary end points suggest that team-based care using clinical pharmacists was implemented in diverse primary care offices and BP was reduced in subjects from racial minority groups. Clinical Trial Registration—URL: http://www.clinicaltrials.gov. Unique identifier: NCT00935077.

Do postoperative complications vary by hospital teaching status

Objective:The purpose of this paper is to assess postoperative patient safety outcomes across teaching and nonteaching hospitals and to examine the relation of hospital and patient factors to patient safety outcomes. Research Design and Methods:The Nationwide Inpatient Sample and American Hospital Association annual survey data were used for analyses. Patient safety indicators (PSIs) developed by the Agency for Healthcare Research and Quality (AHRQ) were used to identify 6 postoperative PSIs. The study sample consisted of 646 acute care hospitals, divided into nonteaching (n = 400), minor teaching (n = 207), and major teaching hospitals (n = 39). The unit of analysis was the patient. Associations between hospital teaching status and patient and hospital characteristics were determined using one-way analysis of variance and Pearson χ2 test. Multivariable analysis using generalized estimating equation regression models assessed the relationship between teaching status and PSIs. Results:Bivariate results showed higher observed PSI rates at major teaching hospitals. Results from multivariable analyses, after adjusting for hospital size, staffing variables, patient case mix, and other risk factors, showed that major teaching hospitals had significantly higher odds of postoperative pulmonary embolism or deep vein thrombosis and postoperative sepsis, lower odds of postoperative respiratory failure, and showed no difference for postoperative hip fracture, postoperative hematoma or hemorrhage, and postoperative physio-metabolic derangement. Conclusions:The present analysis found an inconsistent relationship between teaching status and postoperative patient safety event rates. Teaching status of the hospital was associated with numerous hospital and patient characteristics which mediate the relationship between teaching status and PSIs.

Organizational predictors of adherence to ambulatory care screening guidelines

Objective. The purpose of this study was to identify hospital organizational characteristics consistently associated with adherence to multiple clinical practice guidelines (CPGs). We examined the relationship between organizational and patient population characteristics and adherence to three screening CPGs implemented throughout the Veterans Health Administration (VHA). Materials and methods. The study included 114 acute care facilities. Three sources of data were used: 1998 American Hospital Association data, VHA External Peer Review Program data for 1998 and 1999, and the 1999 Veterans Satisfaction Survey. Organizational characteristics likely to affect adherence with the CPGs were classified into five conceptual domains (clinical emphasis, operational capacity, patient population, professionalism, and urbanicity). Organizational characteristics were ranked, based on their standardized beta coefficients in bivariate logistic regressions predicting the likelihood of adherence. Within-domain multivariable logistic analyses assessed the robustness of individual predictors of CPG adherence, controlling for other organizational factors within the same domain. Results. Overall, 46 of 48 relationships in the bivariate logistic analyses were significant, and 43 of these remained significant in the within-domain multivariate analyses. The relative rankings of the variables as predictors of CPG adherence within conceptual domains were also quite consistent. Conclusions. Strong evidence was found for the importance of specific organizational factors, including mission, capacity, professionalism, and patient population characteristics that influence CPG adherence in a large multiinstitutional sample involving multiple provider practices. Research and programs to improve adherence to CPGs and other quality improvement activities in hospitals should incorporate these organizational factors.