Factors Associated With COVID-19 Vaccine Receipt by Health Care Personnel at a Major Academic Hospital During the First Months of Vaccine Availability.

Importance: Several COVID-19 vaccines have been authorized in the US, yet preliminary evidence suggests high levels of vaccine hesitancy and wide racial, ethnic, and socioeconomic disparities in uptake. Objective: To assess COVID-19 vaccine acceptance among health care personnel (HCP) during the first 4 months of availability in a large academic hospital, compare acceptance with previously measured vaccine hesitancy, and describe racial, ethnic, and socioeconomic disparities in vaccine uptake. Design, Setting, and Participants: This cross-sectional study included 12 610 HCP who were offered COVID-19 vaccination at a major academic hospital in Philadelphia between December 16, 2020, and April 16, 2021. Exposures: For each HCP, data were collected on occupational category, age, sex, race and ethnicity (Asian or Pacific Islander, Black or African American [Black], Hispanic, White, and multiracial), and social vulnerability index (SVI) at the zip code of residence. Main Outcomes and Measures: Vaccine uptake by HCP at the employee vaccination clinic. Results: The study population included 4173 men (34.8%) and 7814 women (65.2%) (623 without data). A total of 1480 were Asian or Pacific Islander (12.4%); 2563 (21.6%), Black; 452 (3.8%), Hispanic; 7086 (59.6%), White; and 192 (1.6%), multiracial; 717 had no data for race and ethnicity. The mean (SD) age was 40.9 (12.4) years, and 9573 (76.0%) received at least 1 vaccine dose during the first 4 months of vaccine availability. Adjusted for age, sex, job position, and SVI, Black (relative risk [RR], 0.69; 95% CI, 0.66-0.72) and multiracial (RR, 0.80; 95% CI, 0.73-0.89) HCP were less likely to receive vaccine compared with White HCP. When stratified by job position, Black nurses (n = 189; 62.8%), Black HCP with some patient contact (n = 466; 49.9%), and Black HCP with no patient contact (n = 636; 56.3%) all had lower vaccine uptake compared with their White and Asian or Pacific Islander counterparts. Similarly, multiracial HCP with some (n = 26; 52.0%) or no (n = 48; 58.5%) patient contact had lower vaccine uptake. In contrast, Black physicians were just as likely to receive the vaccine as physicians of other racial and ethnic groups. Conclusions and Relevance: In this cross-sectional study, more than two-thirds of HCP at a large academic hospital in Philadelphia received a COVID-19 vaccine within 4 months of vaccine availability. Although racial, ethnic, and socioeconomic disparities were seen in vaccine uptake, no such disparities were found among physicians. Better understanding of factors driving these disparities may help improve uptake.

The Impact of Inpatient Palliative Care Consultations on 30-Day Hospital Readmissions.

BACKGROUND: Inpatient palliative care consultations have been shown to reduce acute care utilization by reducing length of stay, but less is known about their impact on subsequent costs including hospital readmissions. OBJECTIVE: The study's objective was to examine the impact of inpatient palliative care consultations on 30-day hospital readmissions to a large urban academic medical center. METHODS: The hospital's electronic medical record system was used to identify all live discharges between August 2013 and November 2014. After adjusting for a propensity score, readmission rates were compared between palliative care and usual care groups. RESULTS: Of the 34,541 hospitalizations included in the study, 1430 (4.1%) involved a palliative care consult. After adjusting for the propensity score, patients seen by palliative care had a lower 30-day readmission rate-adjusted odds ratio (AOR) 0.66, 0.55-0.78; p<0.001. Adjusted rates were 10.3% (95% confidence interval [CI] 8.9%-12.0%) for palliative care and 15.0% (95% CI 14.4%-15.4%) for usual care. Among all palliative care patients, consultations that involved goals of care discussions were associated with a lower readmission rate (AOR 0.36, 0.27-0.48; p<0.001), but consultations involving symptom management were not (AOR 1.05, 0.82-1.35; p=0.684). CONCLUSIONS: Palliative care palliative care consultations facilitate goals discussions, which in turn are associated with reduced rates of 30-day readmissions.

Risk Factors Associated with Unplanned Hospital Readmissions in Adults with Cancer.

PURPOSE/OBJECTIVES: To identify risk factors associated with 30-day unplanned hospital readmissions in adults with cancer. DESIGN: Case-control study. SETTING: A teaching hospital in an urban center in the Mid-Atlantic region of the United States. SAMPLE: 302 adults with solid tumors. METHODS: The Conceptual Model of Re-Hospitalization was used as a theoretic framework. Univariate logistic regression and multivariate logistic regression were conducted to identify risk factors for hospital readmission. MAIN RESEARCH VARIABLES: Risk factors included patient, clinical, hospitalization, and discharge-planning characteristics. FINDINGS: From November 2011 to November 2012, 29% of patients were readmitted within 30 days after discharge, and a higher percentage of those readmissions occurred within the first week of discharge. Several predictors for hospital readmission were identified in the univariate logistic analysis, but the most relevant in the final multivariate logistic model were moderate to high risk for falls and advanced stage disease (metastatic). CONCLUSIONS: Hospital readmission is an indicator of quality care. Learning about risk factors allows opportunities to prevent hospital readmission by identifying those at high risk and implementing optimal discharge-planning systems and early referrals to palliative care. IMPLICATIONS FOR NURSING: Oncology nurses are best positioned to develop strategic plans aimed at improving discharge planning and transitions of care that will decrease unplanned hospital readmissions.

Successful electronic implementation of discharge referral decision support has a positive impact on 30- and 60-day readmissions.

In a quasi-experimental study, decision support software was installed in three hospitals to study the ability to scale (spread) its use from one hospital on paper to three hospitals as software, and to examine the effect on 30- and 60-day readmissions. The Discharge Decision Support System (D2S2) software analyzes data collected by nurses on admission with a proprietary risk assessment tool, identifies patients in need of post-acute care, and alerts discharge planners. On six intervention units, with a concurrent comparison group of 76 units, we examined the implementation experience and compared readmission outcomes before and after implementation. The software implementation finished one month ahead of schedule, and the software performed reliably. High-risk patients admitted in the experimental phase after implementation of D2S2 decision support had significantly fewer 30-day readmissions (a decrease from 22.2% to 9.4%). When high- and low-risk patients were analyzed together, D2S2 achieved a 33% relative reduction in 30-day readmissions (13.1 to 8.8%) and sustained a 37% relative reduction at 60 days. The software, available commercially through RightCare Solutions, was adopted by the health system and remains in use after 22 months. The D2S2 risk assessment tool can be installed easily in existing EHR systems. Future research will focus on how the tool influences discharge decision-making and how its accuracy can be improved in specific settings.

Risk factors and outcomes of infections caused by extremely drug-resistant gram-negative bacilli in patients hospitalized in intensive care units.

BACKGROUND: Extremely drug-resistant gram-negative bacilli (XDR-GNB) increasingly cause health care-associated infections (HAIs) in intensive care units (ICUs). METHODS: A matched case-control (1:2) study was conducted from February 2007 to January 2010 in 16 ICUs. Case and control subjects had HAIs caused by GNB susceptible to ≤1 antibiotic versus ≥2 antibiotics, respectively. Logistic and Cox proportional hazards regression assessed risk factors for HAIs and predictors of mortality, respectively. RESULTS: Overall, 103 case and 195 control subjects were enrolled. An immunocompromised state (odds ratio [OR], 1.55; P = .047) and exposure to amikacin (OR, 13.81; P < .001), levofloxacin (OR, 2.05; P = .005), or trimethoprim-sulfamethoxazole (OR, 3.42; P = .009) were factors associated with XDR-GNB HAIs. Multiple factors in both case and control subjects significantly predicted increased mortality at different time intervals after HAI diagnosis. At 7 days, liver disease (hazard ratio [HR], 5.52), immunocompromised state (HR, 3.41), and bloodstream infection (HR, 2.55) predicted mortality; at 15 days, age (HR, 1.02 per year increase), liver disease (HR, 3.34), and immunocompromised state (HR, 2.03) predicted mortality; and, at 30 days, age (HR, 1.02 per 1-year increase), liver disease (HR, 3.34), immunocompromised state (HR, 2.03), and hospitalization in a medical ICU (HR, 1.85) predicted mortality. CONCLUSION: HAIs caused by XDR-GNB were associated with potentially modifiable factors. Age, liver disease, and immunocompromised state, but not XDR-GNB HAIs, were associated with mortality.

The readmission risk flag: using the electronic health record to automatically identify patients at risk for 30-day readmission.

BACKGROUND: Identification of patients at high risk for readmission is a crucial step toward improving care and reducing readmissions. The adoption of electronic health records (EHR) may prove important to strategies designed to risk stratify patients and introduce targeted interventions. OBJECTIVE: To develop and implement an automated prediction model integrated into our health system's EHR that identifies on admission patients at high risk for readmission within 30 days of discharge. DESIGN: Retrospective and prospective cohort. SETTING: Healthcare system consisting of 3 hospitals. PATIENTS: All adult patients admitted from August 2009 to September 2012. INTERVENTIONS: An automated readmission risk flag integrated into the EHR. MEASURES: Thirty-day all-cause and 7-day unplanned healthcare system readmissions. RESULTS: Using retrospective data, a single risk factor, ≥ 2 inpatient admissions in the past 12 months, was found to have the best balance of sensitivity (40%), positive predictive value (31%), and proportion of patients flagged (18%), with a C statistic of 0.62. Sensitivity (39%), positive predictive value (30%), proportion of patients flagged (18%), and C statistic (0.61) during the 12-month period after implementation of the risk flag were similar. There was no evidence for an effect of the intervention on 30-day all-cause and 7-day unplanned readmission rates in the 12-month period after implementation. CONCLUSIONS: An automated prediction model was effectively integrated into an existing EHR and identified patients on admission who were at risk for readmission within 30 days of discharge.

Impact of electronic surveillance on isolation practices.

OBJECTIVE: To assess the impact of an electronic surveillance system on isolation practices and rates of methicillin-resistant Staphylococcus aureus (MRSA). DESIGN: A pre-post test intervention. SETTING: Inpatient units (except psychiatry and labor and delivery) in 4 New York City hospitals. PATIENTS: All patients for whom isolation precautions were indicated, May 2009-December 2011. METHODS: Trained observers assessed isolation sign postings, availability of isolation carts, and staff use of personal protective equipment (PPE). Infection rates were obtained from the infection control department. Regression analyses were used to examine the association between the surveillance system, infection prevention practices, and MRSA infection rates. RESULTS: A total of 54,159 isolation days and 7,628 staff opportunities for donning PPE were observed over a 31-month period. Odds of having an appropriate sign posted were significantly higher after intervention than before intervention (odds ratio [OR], 1.10 [95% confidence interval {CI}, 1.01-1.20]). Relative to baseline, postintervention sign posting improved significantly for airborne and droplet precautions but not for contact precautions. Sign posting improved for vancomycin-resistant enterococci (OR, 1.51 [95% CI, 1.23-1.86]; [Formula: see text]), Clostridium difficile (OR, 1.59 [95% CI, 1.27-2.02]; [Formula: see text]), and Acinetobacter baumannii (OR, 1.41 [95% CI, 1.21-1.64]; [Formula: see text]) precautions but not for MRSA precautions (OR, 1.11 [95% CI, 0.89-1.39]; [Formula: see text]). Staff and visitor adherence to PPE remained low throughout the study but improved from 29.1% to 37.0% after the intervention (OR, 1.14 [95% CI, 1.01-1.29]). MRSA infection rates were not significantly different after the intervention. CONCLUSIONS: An electronic surveillance system resulted in small but statistically significant improvements in isolation practices but no reductions in infection rates over the short term. Such innovations likely require considerable uptake time.

Time lag for posting transmission-based isolation precaution signs.

BACKGROUND: Rapid identification and isolation of patients colonized or infected with virulent pathogens is essential to minimize risk of exposure to other patients, visitors, and health care workers. OBJECTIVE: Our objective was to determine the time lag between when a patient is identified as requiring isolation precautions and when an isolation sign is posted outside of their room. METHODS: Patients requiring assessment of isolation precautions because of a new positive culture, readmission, or transfers within the institution were identified through an electronic surveillance system. Observers recorded the presence of isolation signs at the patient's door at time (T) 0hr, T2hr, T4hr, T24hr, and T48hr or until an isolation sign was posted. RESULTS: The majority of patients was adults in nonintensive care units. Isolation signs were present for 79.0% of the patients at T0hr and increased to 83.8% by T48hr. No difference was seen between the unit type or indications for isolation. The most common organisms for which isolation was indicated were influenza and resistant enterococci, Staphylococcus aureus; isolation sign postings at T0hr were 87.9%, 85.7%, and 80.7%, respectively. There was a significant difference seen in compliance among the adult (82.8%) and pediatrics (66.7%) sites (P = .0268). CONCLUSION: Isolation precautions are indicated to prevent transmission of virulent pathogens; however, their implementation in a timely manner can be challenging. In this study, approximately 20% of patients for whom isolation was needed had no sign posted within the first 24 hours, and there were only minimal increases thereafter. Simple processes are needed for early identification of patients, communication of the protective equipment needed, and continuous monitoring of adherence to guidelines.

Endemic Acinetobacter baumannii in a New York hospital.

BACKGROUND: Acinetobacter baumannii is an increasingly multidrug-resistant (MDR) cause of hospital-acquired infections, often associated with limited therapeutic options. We investigated A. baumannii isolates at a New York hospital to characterize genetic relatedness. METHODS: Thirty A. baumannii isolates from geographically-dispersed nursing units within the hospital were studied. Isolate relatedness was assessed by repetitive sequence polymerase chain reaction (rep-PCR). The presence and characteristics of integrons were assessed by PCR. Metabolomic profiles of a subset of a prevalent strain isolates and sporadic isolates were characterized and compared. RESULTS: We detected a hospital-wide group of closely related carbapenem resistant MDR A. baumannii isolates. Compared with sporadic isolates, the prevalent strain isolates were more likely to be MDR (p = 0.001). Isolates from the prevalent strain carried a novel Class I integron sequence. Metabolomic profiles of selected prevalent strain isolates and sporadic isolates were similar. CONCLUSION: The A. baumannii population at our hospital represents a prevalent strain of related MDR isolates that contain a novel integron cassette. Prevalent strain and sporadic isolates did not segregate by metabolomic profiles. Further study of environmental, host, and bacterial factors associated with the persistence of prevalent endemic A. baumannii strains is needed to develop effective prevention strategies.

Measuring compliance with transmission-based isolation precautions: comparison of paper-based and electronic data collection.

BACKGROUND: Decreasing the transmission of resistant organisms in hospitals is a key goal of infection prevention plans. Studies have consistently shown inadequate health care worker (HCW) compliance with isolation precautions. Evaluating adherence through direct observation of HCW behavior is considered the "gold standard" but is labor-intensive, requiring the collection and analysis of a large volume of observations. METHODS: Two methods of data collection to assess HCW compliance were evaluated: a manual method using a paper form (PF), with subsequent data entry into a database, and an electronic method using a Web-based form (WBF) with real-time data recording. Observations were conducted at 4 hospitals (a total of 2,065 beds) to assess the availability of gloves, gowns, and masks; isolation sign postings; and HCW isolation practices. RESULTS: A total of 13,878 isolation rooms were observed in 2009. The median number of rooms observed per day was 61 for PF and 60 for WBF, and the respective mean observation times per room were 149 seconds and 60 seconds. Thus, use of the WBF provided a time savings of 89 seconds per room. CONCLUSION: Simple electronic forms can significantly decrease the required resources for monitoring HCW adherence to hospital policies. Use of the WBF decreased the observation time by 60%, allowing for increases in the frequency and intensity of surveillance activities.

Documentation of contact precautions in an electronic health record.

Contact precautions are implemented to reduce transmission of multidrug-resistant organisms but may also increase hospital costs and patient complications. The goal of this study was to determine the prevalence of documentation of contact precautions (provider orders and nursing flowsheet documentation) in an electronic health record. Orders and nursing documentation were simultaneously present for only 42.3% of patient rooms with contact precaution signs, and 17.8% of rooms with signs had neither orders nor nursing documentation.

Challenges of applying the SHEA/HICPAC metrics for multidrug-resistant organisms to a real-world setting.

OBJECTIVE: To test in a real-world setting the recommendations for measuring infection with multidrug-resistant organisms (MDRO) from the Society for Healthcare Epidemiology of America (SHEA) and the Centers for Disease Control and Prevention's Healthcare Infection Control Practices Advisory Committee (HICPAC). METHODS: Using data from 3 hospital settings within a healthcare network, we applied the SHEA/HICPAC recommendations to measure methicillin-resistant Staphylococcus aureus (MRSA) infection and colonization. Data were obtained from the hospitals' electronic surveillance system and were supplemented by manual medical record review as necessary. Additionally, we tested (1) different definitions for nosocomial incidence, (2) the effect of excluding patients not at risk from the denominator for hospital-onset incidence, and (3) the appropriate time period to use when including or excluding patients with a prior history of MRSA infection or colonization from nosocomial rates. Negative binomial regression models were used to test for differences between rate definitions. A rating scale was created for each metric, assessing the extent to which manual or electronic data elements were required. RESULTS: There was no statistically significant difference between using 72 hours or 3 calendar days as the cutoff to define hospital-onset incidence. Excluding patients not at risk from the denominator when calculating hospital-onset incidence led to statistically significant increases in rates. When excluding patients with a prior history of MRSA infection or colonization from nosocomial incidence rates, rates were similar regardless of whether we looked at 1, 2, or 3 years' worth of prior data. CONCLUSIONS: The SHEA/HICPAC MDRO metrics are useful but can be challenging to implement. We include in our description of the data sources and processes required to calculate these metrics information that may simplify the process for institutions.

Terms used for isolation practices by nurses at an academic medical center.

AIM: This paper is a report of a study to determine if the terms used by nurses to describe isolation precautions are associated with correct identification of required personal protective equipment. BACKGROUND: Isolation measures are important in the prevention of healthcare-associated infections. The terms used to describe categories of isolation have changed in response to new pathogens and with advances in infection prevention. METHODS: For 3 months in 2009, nurses from an academic medical center on the East Coast of the United States of America completed a survey consisting of ten clinical scenarios which asked about recommended personal protective equipment and for the name of the recommended isolation type. Correct identification of required personal protective equipment was compared to use of an approved isolation category term, controlling for infection knowledge and demographic variables. RESULTS: Three hundred and seventeen nurses gave responses to 2215 clinical scenarios. Use of non-approved category terms was associated with statistically significantly lower rates of correct personal protective equipment identification compared to use of an approved term (62.2% vs. 77.8%; P < 0.001). Specific PPE was also selected for use when not indicated - including gowns (42%), N-95 respirators (13%), fluid shield masks (13%) and sterile gloves (6%). CONCLUSION: Inconsistent terminology for isolation precautions may contribute to variations in practice. Adoption of internationally accepted and standardized category terms may improve adherence to these precautions.

Contact precautions for multidrug-resistant organisms: Current recommendations and actual practice.

BACKGROUND: Contact precautions are recommended for interactions with patients colonized/infected with multidrug-resistant organisms; however, actual rates of implementation of contact precautions are unknown. METHODS: Observers recorded the availability of supplies and staff/visitor adherence to contact precautions at rooms of patients indicated for contact precautions. Data were collected at 3 sites in a New York City hospital network. RESULTS: Contact precautions signs were present for 85.4% of indicated patients. The largest proportions were indicated for isolation for vancomycin-resistant enterococci and methicillin-resistant Staphylococcus aureus cultures. Isolation carts were available outside 93.7% to 96.7% of rooms displaying signs, and personal protective equipment was available at rates of 49.4% to 72.1% for gloves (all sizes: small, medium, and large) and 91.7% to 95.2% for gowns. Overall adherence rates on room entry and exit, respectively, were 19.4% and 48.4% for hand hygiene, 67.5% and 63.5% for gloves, and 67.9% and 77.1% for gowns. Adherence was significantly better in intensive care units (P < .05) and by patient care staff (P < .05), and patient care staff compliance with one contact precautions behavior was predictive of adherence to additional behaviors (P < .001). CONCLUSIONS: Our findings support the recommendation that methods to monitor contact precautions and identify and correct nonadherent practices should be a standard component of infection prevention and control programs.

Isolation Precautions for Methicillin-Resistant Staphylococcus aureus: Electronic Surveillance to Monitor Adherence.

The Centers for Disease Control and Prevention recently updated guidelines for isolation precautions and added specific recommendations for the management of multidrug-resistant organisms. However, the extent to which these recommendations are followed is unknown. Although the recommendations are based on studies with high internal validity, the effectiveness of these interventions in clinical practice also is unknown. Evidence of the effectiveness of isolation precautions for preventing transmission of infections caused by multidrug-resistant organisms in acute care settings, with methicillin-resistant Staphylococcus aureus as an example, was reviewed. Despite a lack of experimental data, numerous descriptive and correlational studies and a sound theoretical rationale strongly suggest that barrier precautions play an important role in the prevention of transmission of infections due to multidrug-resistant organisms. Two major problems, however, still exist. First, staff members' adherence to national recommendations on isolation precautions, although insufficiently described, appears to be inadequate. Second, efficient, reproducible methods for ongoing surveillance of practices such as isolation precautions are not readily available. Automated surveillance systems that provide support for making decisions are promising for this purpose, are likely to result in cost savings, and therefore warrant more widespread development, testing, and implementation.

Evaluation of an automated inferencing engine generating ICD-9CM codes for physician and hospital billing.

Recent Medicare changes to Severity Diagnosis Related Groups (MS-DRGs) for inpatients have made the appropriate and timely coding of services provided by hospitals and physicians a challenge, and require education for clinicians and coders. Clinical departments have limited funds to hire dedicated personnel to code and prepare payor submissions. Automating the process can assist in accurate data collection and reimbursement.

A comprehensive decision support system for the identification, monitoring and management of patients with multi-drug resistant organisms (MDRO).

While much progress has been made to prevent healthcare-associated infections (HAI), they remain a major cause of patient morbidity and mortality. Many traditional treatments are no longer effective due to the fast-growing antimicrobial resistance seen in healthcare and community settings. Up to 47% resistance has been seen in 78% of the most common microorganisms causing HAI. The global problems have experts urging the government to take this growing threat as seriously as those associated with bioterrorism. An equal challenge is for hospital administrators to provide dedicated resources to monitor these activities. Since the 1970s, active surveillance has been recognized as an essential component of every effective infection prevention/control program. A large portion of the Infection Control Professional's (ICP) time is spent gathering information (from rounds, microbiology, pharmacy and health records), documenting (comments, data entry, trend analysis, report generation) and answering questions. A 2-day pre-implementation survey from all sites reported ICPs spending 12hrs-35mins answering 114 questions related to MDROs; 51% of which may have been prevented with access to the surveillance system. In this session we will present the work done to evaluate ICP workflows, standardizing the identification, management and documentation of surveillance activities, system architecture, and demo the current system/reports.

Impact of computerized prescriber order entry on the incidence of adverse drug events in pediatric inpatients.

OBJECTIVES: This study was conducted to determine the impact of a computerized physician order entry system with substantial decision support on the incidence and types of adverse drug events in hospitalized children. METHODS: A prospective methodology was used for the collection of adverse drug events and potential adverse drug events from all patients admitted to the pediatric intensive care and general pediatric units over a 6-month period. Data from a previous adverse drug event study of the same patient care units before computerized physician order entry implementation were used for comparison purposes. RESULTS: Data for 1197 admissions before the introduction of computerized physician order entry were compared with 1210 admissions collected after computerized physician order entry implementation. After computerized physician order entry implementation, it was observed that the number of preventable adverse drug events (46 vs 26) and potential adverse drug events (94 vs 35) was reduced. Reductions in overall errors, dispensing errors, and drug-choice errors were associated with computerized physician order entry. There were reductions in significant events, as well as those events rated as serious or life threatening, after the implementation of computerized physician order entry. Some types of adverse drug events continued to persist, specifically underdosing of analgesics. There were no differences in length of stay or patient disposition between preventable adverse drug events and potential adverse drug events in either study period. CONCLUSIONS: This study demonstrated that a computerized physician order entry system with substantive decision support was associated with a reduction in both adverse drug events and potential adverse drug events in the inpatient pediatric population. Additional system refinements will be necessary to affect remaining adverse drug events. Preventable events did not predict excess length of stay and instead may represent a sign, rather than a cause, of more complicated illness.

Incidence and impact of adverse drug events in pediatric inpatients.

OBJECTIVES: To determine the incidence and causes of adverse drug events (ADEs) and potential ADEs in hospitalized children, and to examine the consequences of these events. DESIGN: Prospective review of medical records and staff interviews were performed. The ADEs were defined as injuries from medications or lack of an intended medication, and potential ADEs, as errors with the potential to result in injury. SETTING: A general pediatric unit and a pediatric intensive care unit in a metropolitan medical center. PATIENTS: A total of 1197 consecutive patient admissions were studied from September 15, 2000, to May 10, 2001. The admissions represented a total of 922 patients and 10,164 patient-days. RESULTS: The ADEs (6/100 admissions, 7.5/1000 patient-days) and potential ADEs (8/100 admissions, 9.3/1000 patient-days) were common in hospitalized children. Demographic variables associated with the occurrence of these events were the length of hospital stay, case-mix index, and amount of medication exposure. After adjusting for length of stay, medication exposure continued to have a significant influence on ADEs and potential ADEs. For ADEs, 18 (24%) were judged to be serious or life threatening. Most ADEs were not associated with major or permanent disability. Patients with both ADEs and potential ADEs were less likely to be routinely discharged and more likely to be discharged with home health care or to another institution, suggesting that patient disposition was not related to the adverse event. CONCLUSIONS: Both ADEs and potential ADEs are common among hospitalized children with greater disease burden and medication exposure. These findings suggest that these events were a consequence, rather than a cause, of more severe illness.