Cluster Analysis of Acute Care Use Yields Insights for Tailored Pediatric Asthma Interventions.

STUDY OBJECTIVE: We undertake this study to understand patterns of pediatric asthma-related acute care use to inform interventions aimed at reducing potentially avoidable hospitalizations. METHODS: Hospital claims data from 3 Camden city facilities for 2010 to 2014 were used to perform cluster analysis classifying patients aged 0 to 17 years according to their asthma-related hospital use. Clusters were based on 2 variables: asthma-related ED visits and hospitalizations. Demographics and a number of sociobehavioral and use characteristics were compared across clusters. RESULTS: Children who met the criteria (3,170) were included in the analysis. An examination of a scree plot showing the decline in within-cluster heterogeneity as the number of clusters increased confirmed that clusters of pediatric asthma patients according to hospital use exist in the data. Five clusters of patients with distinct asthma-related acute care use patterns were observed. Cluster 1 (62% of patients) showed the lowest rates of acute care use. These patients were least likely to have a mental health-related diagnosis, were less likely to have visited multiple facilities, and had no hospitalizations for asthma. Cluster 2 (19% of patients) had a low number of asthma ED visits and onetime hospitalization. Cluster 3 (11% of patients) had a high number of ED visits and low hospitalization rates, and the highest rates of multiple facility use. Cluster 4 (7% of patients) had moderate ED use for both asthma and other illnesses, and high rates of asthma hospitalizations; nearly one quarter received care at all facilities, and 1 in 10 had a mental health diagnosis. Cluster 5 (1% of patients) had extreme rates of acute care use. CONCLUSION: Differences observed between groups across multiple sociobehavioral factors suggest these clusters may represent children who differ along multiple dimensions, in addition to patterns of service use, with implications for tailored interventions.

Physician Specialty Differences in Unprofessional Behaviors Observed and Reported by Coworkers.

Importance: Because unprofessional behaviors are associated with patient complications, malpractice claims, and well-being concerns, monitoring concerns requiring investigation and individuals identified in multiple reports may provide important opportunities for health care leaders to support all team members. Objective: To examine the distribution of physicians by specialty who demonstrate unprofessional behaviors measured through safety reports submitted by coworkers. Design, Setting, and Participants: This retrospective cohort study was conducted among physicians who practiced at the 193 hospitals in the Coworker Concern Observation Reporting System (CORS), administered by the Vanderbilt Center for Patient and Professional Advocacy. Data were collected from January 2018 to December 2022. Exposure: Submitted reports concerning communication, professional responsibility, medical care, and professional integrity. Main Outcomes and Measures: Physicians' total number and categories of CORS reports. The proportion of physicians in each specialty (nonsurgeon nonproceduralists, emergency medicine physicians, nonsurgeon proceduralists, and surgeons) who received at least 1 report and who qualified for intervention were calculated; logistic regression was used to calculate the odds of any CORS report. Results: The cohort included 35 120 physicians: 18 288 (52.1%) nonsurgeon nonproceduralists, 1876 (5.3%) emergency medicine physicians, 6743 (19.2%) nonsurgeon proceduralists, and 8213 (23.4%) surgeons. There were 3179 physicians (9.1%) with at least 1 CORS report. Nonsurgeon nonproceduralists had the lowest percentage of physicians with at least 1 report (1032 [5.6%]), followed by emergency medicine (204 [10.9%]), nonsurgeon proceduralists (809 [12.0%]), and surgeons (1134 [13.8%]). Nonsurgeon nonproceduralists were less likely to be named in a CORS report than other specialties (5.6% vs 12.8% for other specialties combined; difference in percentages, -7.1 percentage points; 95% CI, -7.7 to -6.5 percentage points; P < .001). Pediatric-focused nonsurgeon nonproceduralists (2897 physicians) were significantly less likely to be associated with a CORS report than nonpediatric nonsurgeon nonproceduralists (15 391 physicians) (105 [3.6%] vs 927 [6.0%]; difference in percentages, -2.4 percentage points, 95% CI, -3.2 to -1.6 percentage points; P < .001). Pediatric-focused emergency medicine physicians, nonsurgeon proceduralists, and surgeons had no significant differences in reporting compared with nonpediatric-focused physicians. Conclusions and Relevance: In this cohort study, less than 10% of physicians ever received a coworker report with a concern about unprofessional behavior. Monitoring reports of unprofessional behaviors provides important opportunities for health care organizations to identify and intervene as needed to support team members.

Going viral: adapting to pediatric surge during the H1N1 pandemic.

OBJECTIVES: The objective of this study was to assess hospital and emergency department (ED) pediatric surge strategies utilized during the 2009 H1N1 influenza pandemic as well as compliance with national guidelines. METHODS: Electronic survey was sent to a convenience sample of emergency physicians and nurses from US EDs with a pediatric volume of more than 10,000 annually. Survey questions assessed the participant's hospital baseline pandemic and surge preparedness, as well as strategies for ED surge and compliance with Centers for Disease Control and Prevention (CDC) guidelines for health care personal protection, patient testing, and treatment. RESULTS: The response rate was 54% (53/99). Preexisting pandemic influenza plans were absent in 44% of hospitals; however, 91% developed an influenza plan as a result of the pandemic. Twenty-four percent reported having a preexisting ED pandemic staffing model, and 36% had a preexisting alternate care site plan. Creation and/or modifications of existing plans for ED pandemic staffing (82%) and alternate care site plan (68%) were reported. Seventy-nine percent of institutions initially followed CDC guidelines for personal protection (use of N95 masks), of which 82% later revised their practices. Complete compliance with CDC guidelines was 60% for patient testing and 68% for patient treatment. CONCLUSIONS: Before the H1N1 pandemic, greater than 40% of the hospitals in our study did not have an influenza pandemic preparedness plan. Many had to modify their existing plans during the surge. Not all institutions fully complied with CDC guidelines. Data from this multicenter survey should assist clinical leaders to create more robust surge plans for children.

Pediatric Disaster Preparedness.

Children can be victims of mass casualty or illness, but their needs, with respect to their care and recovery are substantially different from adults. Emergency or urgent care physicians must be prepared to evaluate and manage child victims presenting to their facility in numbers or acuity that could significantly overwhelm normal operations. This article presents the general approach to pediatric disaster preparation in the United States, the expectations of emergency department providers, and different methods of disaster triage, and introduces the most likely types of mass illness (some of which are bioweapons or chemical agents) and their management.

Effect of using pediatric emergency department virtual observation on inpatient admissions and lengths of stay.

OBJECTIVE: To determine whether using emergency department (ED) virtual observation for select pediatric conditions decreases admission rates for these conditions, and to examine effects on length of stay. METHODS: The option of ED virtual observation care for 9 common pediatric conditions was introduced in 2009; associated order sets were developed. Retrospective secondary analyses of administrative data from our tertiary care pediatric ED and children's hospital were performed for the year before (year 0) and after (year 1) this disposition option was introduced. The proportion of visits admitted to the inpatient unit and length of stay (LOS) were determined for all visits considered eligible for ED virtual observation care on the basis of diagnosis codes for both study years. RESULTS: There were 1614 observation-eligible visits in year 0 and 1510 in year 1. In year 1, 18% (n = 266) of observation-eligible visits received ED virtual observation care. Admission rates for observation-eligible visits were similar after this model of care was introduced (25% year 0, 29% year 1, P = .02). Median LOS for ED virtual observation visits was 8.8 hours (interquartile range 6.5-12.4). ED LOS was shorter for ED discharges (5.6 hours year 0, 5.1 hours year 1, P < .001) and unchanged for admissions (6.0 hours year 0, 5.8 hours, year 1, P = .41) after introducing ED virtual observation. CONCLUSIONS: Admission rates for observation-eligible visits were not lower in the year after ED virtual observation care was introduced. LOS decreased for ED discharges and was unchanged for admissions. Reevaluation of the effects of pediatric ED virtual observation on admission rates and LOS after longer periods of use is indicated.

Pediatric observation units in the United States: a systematic review.

BACKGROUND: As more efficient and value-based care models are sought for the US healthcare system, geographically distinct observation units (OUs) may become an integral part of hospital-based care for children. PURPOSE: To systematically review the literature and evaluate the structure and function of pediatric OUs in the United States. DATA SOURCES: Searches were conducted in Medline, Web of Science, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Health Care Advisory Board (HCAB), Lexis-Nexis, National Guideline Clearinghouse, and Cochrane Reviews, through February 2009, with review of select bibliographies. STUDY SELECTION: English language peer-reviewed publications on pediatric OU care in the United States. DATA EXTRACTION: Two authors independently determined study eligibility. Studies were graded using a 5-level quality assessment tool. Data were extracted using a standardized form. DATA SYNTHESIS: A total of 21 studies met inclusion criteria: 2 randomized trials, 2 prospective observational, 12 retrospective cohort, 2 before and after, and 3 descriptive studies. Studies present data on more than 22,000 children cared for in OUs, most at large academic centers. This systematic review provides a descriptive overview of the structure and function of pediatric OUs in the United States. Despite seemingly straightforward outcomes for OU care, significant heterogeneity in the reporting of length of stay, admission rates, return visit rates, and costs precluded our ability to conduct meta-analyses. We propose standard outcome measures and future directions for pediatric OU research. CONCLUSIONS: Future research using consistent outcome measures will be critical to determining whether OUs can improve the quality and cost of providing care to children requiring observation-length stays.

Role of hospitalists in an offsite alternate care center (ACC) for pandemic flu.

Recent concerns about an influenza pandemic have highlighted the need to plan for offsite Alternate Care Centers (ACCs). The likelihood of a successful response to patient surges will depend on the local health systems' ability to prepare well in advance of an influenza pandemic. Our health system has worked closely with our state's medical biodefense network to plan the establishment of an ACC for an influenza pandemic. As hospitalists have expanded their roles in their local health systems, they are poised to play a major role in planning for the next influenza pandemic. Hospitalists should work with their health system's administration in developing an ACC plan.

Trends in high-turnover stays among children hospitalized in the United States, 1993-2003.

OBJECTIVE: Brief hospitalizations for children may constitute an opportunity to provide care in an alternative setting such as an observation unit. The goal of this study was to characterize recent national trends in brief inpatient stays for children in the United States. METHODS: Using the Nationwide Inpatient Sample from 1993-2003, we analyzed hospital discharges among children <18 years of age, excluding births, deaths, and transfers. Hospitalizations with lengths of stay of 0 and 1 night were designated as "high turnover." Serial cross-sectional analyses were conducted to compare the proportion of high-turnover stays across and within years according to patient and hospital-level characteristics. Diagnosis-related groups and hospital charges associated with these observation-length stays were examined. RESULTS: In 2003, there were an estimated 441 363 high-turnover hospitalizations compared with 388 701 in 1993. The proportion of high-turnover stays increased from 24.9% in 1993 to 29.9% in 1999 and has remained >/=30.0% since that time. Diagnosis-related groups for high-turnover stays reflect common pediatric medical and surgical conditions requiring hospitalization, including respiratory illness, gastrointestinal/metabolic disorders, seizure/headache, and appendectomy. Significant increases in the proportion of high-turnover stays during the study period were noted across patient and hospital-level characteristics, including age group, payer, hospital location, teaching status, bed size, and admission source. High-turnover stays contributed $1.3 billion (22%) to aggregate hospital charges in 2003, an increase from $494 million (12%) in 1993. CONCLUSIONS: Consistently since 1999, nearly one third of children hospitalized in the United States experience a high-turnover stay. These high-turnover cases constitute hospitalizations, that may be eligible for care in an alternative setting. Observation units provide 1 model for an efficient and cost-effective alternative to inpatient care, in which resources and provider interactions with patients and each other are geared toward shorter stays with more timely discharge processes.

Bacterial pneumonias during an influenza pandemic: how will we allocate antibiotics?

We are currently in the midst of the 2009 H1N1 pandemic, and a second wave of flu in the fall and winter could lead to more hospitalizations for pneumonia. Recent pathologic and historic data from the 1918 influenza pandemic confirms that many, if not most, of the deaths in that pandemic were a result of secondary bacterial pneumonias. This means that a second wave of 2009 H1N1 pandemic influenza could result in a widespread shortage of antibiotics, making these medications a scarce resource. Recently, our University of Michigan Health System (UMHS) Scarce Resource Allocation Committee (SRAC) added antibiotics to a list of resources (including ventilators, antivirals, vaccines) that might become scarce during an influenza pandemic. In this article, we summarize the data on bacterial pneumonias during the 1918 influenza pandemic, discuss the possible impact of a pandemic on the University of Michigan Health System, and summarize our committee's guiding principles for allocating antibiotics during a pandemic.