Lisa Pineles

Effects of Contact Precautions on Patient Perception of Care and Satisfaction: A Prospective Cohort Study

OBJECTIVE Contact precautions decrease healthcare worker-patient contact and may impact patient satisfaction. To determine the association between contact precautions and patient satisfaction, we used a standardized interview for perceived issues with care. DESIGN Prospective cohort study of inpatients, evaluated at admission and on hospital days 3, 7, and 14 (until discharged). At each point, patients underwent a standardized interview to identify perceived problems with care. After discharge, the standardized interview and Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) survey were administered by telephone. Responses were recorded, transcribed, and coded by 2 physician reviewers. PARTICIPANTS A total of 528 medical or surgical patients not admitted to the intensive care unit. RESULTS A total of 528 patients were included in the primary analysis, of whom 104 (20%) perceived some issue with their care. On multivariable logistic regression, contact precautions were independently associated with a greater number of perceived concerns with care (odds ratio, 2.05 [95% confidence interval, 1.31-3.21]; P < .01), including poor coordination of care (P = .02) and a lack of respect for patient needs and preferences (P = .001). Eighty-eight patients were included in the secondary analysis of HCAHPS. Patients under contact precautions did not have different HCAHPS scores than those not under contact precautions (odds ratio, 1.79 [95% confidence interval, 0.64-5.00]; P = .27). CONCLUSIONS Patients under contact precautions were more likely to perceive problems with their care, especially poor coordination of care and a lack of respect for patient preferences.

Accuracy of a radiofrequency identification (RFID) badge system to monitor hand hygiene behavior during routine clinical activities

BACKGROUND Hand hygiene (HH) is a critical part of infection prevention in health care settings. Hospitals around the world continuously struggle to improve health care personnel (HCP) HH compliance. The current gold standard for monitoring compliance is direct observation; however, this method is time-consuming and costly. One emerging area of interest involves automated systems for monitoring HH behavior such as radiofrequency identification (RFID) tracking systems. METHODS To assess the accuracy of a commercially available RFID system in detecting HCP HH behavior, we compared direct observation with data collected by the RFID system in a simulated validation setting and to a real-life clinical setting over 2 hospitals. RESULTS A total of 1,554 HH events was observed. Accuracy for identifying HH events was high in the simulated validation setting (88.5%) but relatively low in the real-life clinical setting (52.4%). This difference was significant (P < .01). Accuracy for detecting HCP movement into and out of patient rooms was also high in the simulated setting but not in the real-life clinical setting (100% on entry and exit in simulated setting vs 54.3% entry and 49.5% exit in real-life clinical setting, P < .01). CONCLUSION In this validation study of an RFID system, almost half of the HH events were missed. More research is necessary to further develop these systems and improve accuracy prior to widespread adoption.

The Effect of Contact Precautions on Frequency of Hospital Adverse Events.

OBJECTIVE To determine whether use of contact precautions on hospital ward patients is associated with patient adverse events DESIGN Individually matched prospective cohort study SETTING The University of Maryland Medical Center, a tertiary care hospital in Baltimore, Maryland METHODS A total of 296 medical or surgical inpatients admitted to non-intensive care unit hospital wards were enrolled at admission from January to November 2010. Patients on contact precautions were individually matched by hospital unit after an initial 3-day length of stay to patients not on contact precautions. Adverse events were detected by physician chart review and categorized as noninfectious, preventable and severe noninfectious, and infectious adverse events during the patients stay using the standardized Institute for Healthcare Improvements Global Trigger Tool. RESULTS The cohort of 148 patients on contact precautions at admission was matched with a cohort of 148 patients not on contact precautions. Of the total 296 subjects, 104 (35.1%) experienced at least 1 adverse event during their hospital stay. Contact precautions were associated with fewer noninfectious adverse events (rate ratio [RtR], 0.70; 95% confidence interval [CI], 0.51-0.95; P=.02) and although not statistically significant, with fewer severe adverse events (RtR, 0.69; 95% CI, 0.46-1.03; P=.07). Preventable adverse events did not significantly differ between patients on contact precautions and patients not on contact precautions (RtR, 0.85; 95% CI, 0.59-1.24; P=.41). CONCLUSIONS Hospital ward patients on contact precautions were less likely to experience noninfectious adverse events during their hospital stay than patients not on contact precautions.

Lessons Learned From Hospital Ebola Preparation

BACKGROUND Hospital Ebola preparation is underway in the United States and other countries; however, the best approach and resources involved are unknown. OBJECTIVE To examine costs and challenges associated with hospital Ebola preparation by means of a survey of Society for Healthcare Epidemiology of America (SHEA) members. DESIGN Electronic survey of infection prevention experts. RESULTS A total of 257 members completed the survey (221 US, 36 international) representing institutions in 41 US states, the District of Columbia, and 18 countries. The 221 US respondents represented 158 (43.1%) of 367 major medical centers that have SHEA members and included 21 (60%) of 35 institutions recently defined by the US Centers for Disease Control and Prevention as Ebola virus disease treatment centers. From October 13 through October 19, 2014, Ebola consumed 80% of hospital epidemiology time and only 30% of routine infection prevention activities were completed. Routine care was delayed in 27% of hospitals evaluating patients for Ebola. LIMITATIONS Convenience sample of SHEA members with a moderate response rate. CONCLUSIONS Hospital Ebola preparations required extraordinary resources, which were diverted from routine infection prevention activities. Patients being evaluated for Ebola faced delays and potential limitations in management of other diseases that are more common in travelers returning from West Africa.

Risk Factors for Central-Line-Associated Bloodstream Infections: A Focus on Comorbid Conditions

Centers for Disease Control and Prevention (CDC) risk adjustment methods for central-line-associated bloodstream infections (CLABSI) only adjust for type of intensive care unit (ICU). This cohort study explored risk factors for CLABSI using 2 comorbidity classification schemes, the Charlson Comorbidity Index (CCI) and the Chronic Disease Score (CDS). Our study supports the need for additional research into risk factors for CLABSI, including electronically available comorbid conditions.

Establishing Evidence-Based Criteria for Directly Observed Hand Hygiene Compliance Monitoring Programs: A Prospective, Multicenter Cohort Study

OBJECTIVE Hand hygiene surveillance programs that rely on direct observations of healthcare worker activity may be limited by the Hawthorne effect. In addition, comparing compliance rates from period to period requires adequately sized samples of observations. We aimed to statistically determine whether the Hawthorne effect is stable over an observation period and statistically derive sample sizes of observations necessary to compare compliance rates. DESIGN Prospective multicenter cohort study. SETTING Five intensive care units and 6 medical/surgical wards in 3 geographically distinct acute care hospitals. METHODS Trained observers monitored hand hygiene compliance during routine care in fixed 1-hour periods, using a standardized collection tool. We estimated the impact of the Hawthorne effect using empirical fluctuation processes and F tests for structural change. Standard sample-size calculation methods were used to estimate how many hand hygiene opportunities are required to accurately measure hand hygiene across various levels of baseline and target compliance. RESULTS Exit hand hygiene compliance increased after 14 minutes of observation (from 56.2% to 60.5%; P < .001) and increased further after 50 minutes (from 60.5% to 66.0%; P < .001). Entry compliance increased after 38 minutes (from 40.4% to 43.4%; P = .005). Between 79 and 723 opportunities are required during each period, depending on baseline compliance rates (range, 35%-90%) and targeted improvement (5% or 10%). CONCLUSIONS Limiting direct observation periods to approximately 15 minutes to minimize the Hawthorne effect and determining required number of hand hygiene opportunities observed per period on the basis of statistical power calculations would be expected to improve the validity of hand hygiene surveillance programs.

The Effect of Universal Glove and Gown Use on Adverse Events in Intensive Care Unit Patients

BACKGROUND No randomized trials have examined the effect of contact precautions or universal glove and gown use on adverse events. We assessed if wearing gloves and gowns during all patient contact in the intensive care unit (ICU) changes adverse event rates. METHODS From January 2012 to October 2012, intervention ICUs of the 20-site Benefits of Universal Gloving and Gowning cluster randomized trial required that healthcare workers use gloves and gowns for all patient contact. We randomly sampled 1800 medical records of adult patients not colonized with antibiotic-resistant bacteria and reviewed them for adverse events using the Institute for Healthcare Improvement Global Trigger Tool. RESULTS Four hundred forty-seven patients (24.8%) had 1 or more ICU adverse events. Adverse events were not associated with universal glove and gown use (incidence rate ratio [IRR], 0.81; 95% confidence interval [CI], .48-1.36). This did not change with adjustment for ICU type, severity of illness, academic hospital status, and ICU size, (IRR, 0.91; 95% CI, .59-1.42; P = .68). Rates of infectious adverse events also did not differ after adjusting for the same factors (IRR, 0.75; 95% CI, .47-1.21; P = .24). CONCLUSIONS In ICUs where healthcare workers donned gloves and gowns for all patient contact, patients were no more likely to experience adverse events than in control ICUs. Concerns of adverse events resulting from universal glove and gown use were not supported. Similar considerations may be appropriate regarding use of contact precautions. CLINICAL TRIALS REGISTRATION NCT0131821.

Pseudomonas aeruginosa Colonization in the Intensive Care Unit: Prevalence, Risk Factors, and Clinical Outcomes.

OBJECTIVE To determine the prevalence of Pseudomonas aeruginosa colonization on intensive care unit (ICU) admission, risk factors for P. aeruginosa colonization, and the incidence of subsequent clinical culture with P. aeruginosa among those colonized and not colonized. METHODS We conducted a cohort study of patients admitted to a medical or surgical intensive care unit of a tertiary care hospital. Patients had admission perirectal surveillance cultures performed. Risk factors analyzed included comorbidities at admission, age, sex, antibiotics received during current hospitalization before ICU admission, and type of ICU. RESULTS Of 1,840 patients, 213 (11.6%) were colonized with P. aeruginosa on ICU admission. Significant risk factors in the multivariable analysis for colonization were age (odds ratio, 1.02 [95% CI, 1.01-1.03]), anemia (1.90 [1.05-3.42]), and neurologic disorder (1.80 [1.27-2.54]). Of the 213 patients colonized with P. aeruginosa on admission, 41 (19.2%) had a subsequent clinical culture positive for P. aeruginosa on ICU admission and 60 (28.2%) had a subsequent clinical culture positive for P. aeruginosa in the current hospitalization (ICU period and post-ICU period). Of these 60 patients, 49 (81.7%) had clinical infections. Of the 1,627 patients not colonized on admission, only 68 (4.2%) had a subsequent clinical culture positive for P. aeruginosa in the current hospitalization. Patients colonized with P. aeruginosa were more likely to have a subsequent positive clinical culture than patients not colonized (incidence rate ratio, 6.74 [95% CI, 4.91-9.25]). CONCLUSIONS Prediction rules or rapid diagnostic testing will help clinicians more appropriately choose empirical antibiotic therapy for subsequent infections.

Survey of infection prevention informatics use and practitioner satisfaction in US hospitals.

We surveyed hospital epidemiologists and infection preventionists on their usage of and satisfaction with infection prevention-specific software supplementing their institutions electronic medical record. Respondents with supplemental software were more satisfied with their softwares infection prevention and antimicrobial stewardship capabilities than those without. Infection preventionists were more satisfied than hospital epidemiologists.

Improving Risk Adjustment Above Current Centers for Disease Control and Prevention Methodology Using Electronically Available Comorbid Conditions.

OBJECTIVE To identify comorbid conditions associated with surgical site infection (SSI) among patients undergoing renal transplantation and improve existing risk adjustment methodology used by the Centers for Disease Control and Prevention National Healthcare Safety Network (NHSN). PATIENTS Patients (≥18 years) who underwent renal transplantation at University of Maryland Medical Center January 1, 2010-December 31, 2011. METHODS Trained infection preventionists reviewed medical records to identify surgical site infections that developed within 30 days after transplantation, using NHSN criteria. Patient demographic characteristics and risk factors for surgical site infections were identified through a central data repository. International Statistical Classification of Disease, Ninth Revision, Clinical Modification codes were used to analyze individual component comorbid conditions and calculate the Charlson and Elixhauser comorbidity indices. These indices were compared with the current NHSN risk adjustment methodology. RESULTS A total of 441 patients were included in the final cohort. In bivariate analysis, the Charlson components of cerebrovascular disease, peripheral vascular disease, and rheumatologic disorders and Elixhauser components of obesity, rheumatoid arthritis, and weight loss were significantly associated with the outcome. A model utilizing the variables from the NHSN methodology had a c-statistic of 0.56 (95% CI, 0.48-0.63), whereas a model that also included comorbidities from the Charlson and Elixhauser indices had a c-statistic of 0.65 (95% CI, 0.58-0.73). The model with all 3 risk adjustment scores performed best and was statistically different from the NHSN model alone, demonstrated by improvement in the c statistic (0.65 vs 0.56). CONCLUSION Risk adjustment models should incorporate electronically available comorbid conditions. Infect Control Hosp Epidemiol 2016;1-6.