Bryan L. Stone

Children With Complex Chronic Conditions in Inpatient Hospital Settings in the United States

OBJECTIVES: Hospitalized children are perceived to be increasingly medically complex, but no such trend has been documented. The objective of this study was to determine whether the proportion of pediatric inpatient use that is attributable to patients with a diagnosis of one or more complex chronic condition (CCC) has increased over time and to assess the degree to which CCC hospitalizations are associated with attributes that are consistent with heightened medical complexity. METHODS: A retrospective observational study that used the 1997, 2000, 2003, and 2006 Kids Inpatient Databases examined US hospitalizations for children. Attributes of medical complexity included hospital admissions, length of stay, total charges, technology-assistance procedures, and mortality risk. RESULTS: The proportion of inpatient pediatric admissions, days, and charges increased from 1997 to 2006 for any CCC and for every CCC group except hematology. CCCs accounted for 8.9% of US pediatric admissions in 1997 and 10.1% of admissions in 2006. These admissions used 22.7% to 26.1% of pediatric hospital days, used 37.1% to 40.6% of pediatric hospital charges, accounted for 41.9% to 43.2% of deaths, and (for 2006) used 73% to 92% of different forms of technology-assistance procedures. As the number of CCCs for a given admission increased, all markers of use increased. CONCLUSIONS: CCC-associated hospitalizations compose an increasing proportion of inpatient care and resource use. Future research should seek to improve methods to identify the population of medically complex children, monitor their increasing inpatient use, and assess whether current systems of care are meeting their needs.

Hospital admission medication reconciliation in medically complex children: an observational study

Objective To evaluate admission medication reconciliation in children with medically complex conditions (MCC) by determining the availability and accuracy of five information sources and characterising admitting order errors. Design Prospective quality improvement cohort study. Setting Tertiary care free-standing childrens hospital in the Intermountain west, USA. Participants 23 children with MCC identified from 219 admissions between 16 December 2004 and 7 January 2005. Intervention Medication reconciliation at hospital admission using information from five sources. Main outcomes The accuracy of information sources was determined by sensitivity and specificity compared with verified outpatient medication lists. Errors were determined by comparing admitting orders with reconciled inpatient medication lists and categorised by frequency, type and clinical risk. Results Children with MCC averaged 5.3 chronic medications. The reconciliation process took an average of 90 min. Availability/sensitivity/specificity respectively were parents 52%/0.75/0.96, pharmacy 61%/0.64/0.74, primary provider 43%/0.25/0.86, last admission electronic health record 87%/0.74/0.33 and admitting history 65%/0.31/0.94. Thirty-nine errors were identified in 182 admission medications (21%) including 17 omissions, affecting 13 patients (57%). The estimated clinical risk, if an adverse drug event had occurred, was serious or life-threatening in five instances. Conclusions In children with MCC admitted at our institution during the study period, no medication information source was optimally available, sensitive and specific. Admitting order medication errors affected more than half of patients, the most common being omissions. Efforts to improve medication reconciliation at hospital admission in this population must account for availability and accuracy of information sources and medication omissions at the time of hospital admission.

The Joint Commission Children’s Asthma Care Quality Measures and Asthma Readmissions

BACKGROUND AND OBJECTIVES: The Joint Commission introduced 3 Children’s Asthma Care (CAC 1–3) measures to improve the quality of pediatric inpatient asthma care. Validity of the commission’s measures has not yet been demonstrated. The objectives of this quality improvement study were to examine changes in provider compliance with CAC 1–3 and associated asthma hospitalization outcomes after full implementation of an asthma care process model (CPM). METHODS: The study included children aged 2 to 17 years who were admitted to a tertiary care children’s hospital for acute asthma between January 1, 2005, and December 31, 2010. The study was divided into 3 periods: preimplementation (January 1, 2005–December 31, 2007), implementation (January 1, 2008–March 31, 2009), and postimplementation (April 1, 2009–December 31, 2010) periods. Changes in provider compliance with CAC 1–3 and associated changes in hospitalization outcomes (length of stay, costs, PICU transfer, deaths, and asthma readmissions within 6 months) were measured. Logistic regression was used to control for age, gender, race, insurance type, and time. RESULTS: A total of 1865 children were included. Compliance with quality measures before and after the CPM implementation was as follows: 99% versus 100%, CAC-1; 100% versus 100%, CAC-2; and 0% versus 87%, CAC-3 (P < .01). Increased compliance with CAC-3 was associated with a sustained decrease in readmissions from an average of 17% to 12% (P = .01) postimplementation. No change in other outcomes was observed. CONCLUSIONS: Implementation of the asthma CPM was associated with improved compliance with CAC-3 and with a delayed, yet significant and sustained decrease in hospital asthma readmission rates, validating CAC-3 as a quality measure. Due to high baseline compliance, CAC-1 and CAC-2 are of questionable value as quality measures.

Macrophage activation syndrome in children with systemic lupus erythematosus and children with juvenile idiopathic arthritis

OBJECTIVE To describe patient demographics, interventions, and outcomes in hospitalized children with macrophage activation syndrome (MAS) complicating systemic lupus erythematosus (SLE) or juvenile idiopathic arthritis (JIA). METHODS We performed a retrospective cohort study using data recorded in the Pediatric Health Information System (PHIS) database from October 1, 2006 to September 30, 2010. Participants had International Classification of Diseases, Ninth Revision, Clinical Modification diagnosis codes for MAS and either SLE or JIA. The primary outcome was hospital mortality (for the index admission). Secondary outcomes included intensive care unit (ICU) admission, critical care interventions, and medication use. RESULTS A total of 121 children at 28 childrens hospitals met the inclusion criteria, including 19 children with SLE and 102 children with JIA. The index admission mortality rate was 7% (8 of 121 patients). ICU admission (33%), mechanical ventilation (26%), and inotrope/vasopressor therapy (26%) were common. Compared to children with JIA, those with SLE had a similar mortality rate (6% versus 11%, respectively; exact P = 0.6). More patients with SLE than those with JIA received ICU care (63% versus 27%; P = 0.002), received mechanical ventilation (53% versus 21%; P = 0.003), and had cardiovascular dysfunction (47% versus 23% received inotrope/vasopressor therapy; P = 0.02). Children with SLE and those with JIA received cyclosporine at similar rates, but more children with SLE received cyclophosphamide and mycophenolate mofetil, and more children with JIA received interleukin-1 antagonists. CONCLUSION Organ system dysfunction is common in children with rheumatic diseases complicated by MAS, and more organ system support is required in children with underlying SLE than in children with JIA. Current treatment of pediatric MAS varies based on the underlying rheumatic disease.

Quality of Care for Children Hospitalized With Asthma

OBJECTIVES. The goals were (1) to identify evidence-based clinical process measures that are appropriate, feasible, and reliable for assessing the quality of inpatient asthma care for children and (2) to evaluate provider compliance with these measures. METHODS. Key asthma quality measures were identified by using a modified Rand appropriateness method, combining a literature review of asthma care evidence with a consensus panel. The feasibility and reliability of obtaining these measures were determined through manual chart review. Provider compliance with these measures was evaluated through retrospective manual chart review of data for 252 children between 2 and 17 years of age who were admitted to a tertiary care childrens hospital in 2005 because of asthma exacerbations. RESULTS. Nine appropriate, feasible, reliable, clinical process measures of inpatient asthma care were identified. Provider compliance with these measures was as follows: acute asthma severity assessment at admission, 39%; use of systemic corticosteroid therapy, 98%; use of oral (not intravenous) systemic corticosteroid therapy, 87%; use of ipratropium bromide restricted to <24 hours after admission, 71%; use of albuterol delivered with a metered-dose inhaler (not nebulizer) for children >5 years of age, 20%; documented chronic asthma severity assessment, 22%; parental participation in an asthma education class, 33%; written asthma action plan, 5%; scheduled follow-up appointment with the primary care provider at discharge, 22%. CONCLUSIONS. Nine appropriate, feasible, reliable, clinical process measures of inpatient asthma care were identified. Provider compliance across these measures was highly variable but generally low. Our study highlights opportunities for improvement in the provision of asthma care for hospitalized children. Future studies are needed to confirm these findings in other inpatient settings.

Delays in discharge in a tertiary care pediatric hospital

BACKGROUND Delays in discharges affect both efficiency and timeliness of care; 2 measures of quality of inpatient care. OBJECTIVE Describe number, length, and type of delays in hospital discharges. Characterize impact of delays on overall length of stay (LOS) and costs. DESIGN Prospective observational cohort study. SETTING Tertiary-care childrens hospital. PATIENTS All children on 2 medical teams during August 2004. INTERVENTION Two research assistants presented detailed data of patient care (from daily rounds) to 2 physicians who identified delays and classified the delay type. Discharge was identified as delayed if there was no medical reason for the patient to be in the hospital on a given day. MEASUREMENTS Delays were classified using a validated and reliable instrument, the Delay Tool. LOS and costs were extracted from an administrative database. RESULTS Two teams cared for 171 patients. Mean LOS and costs were 7.3 days (standard deviation [SD] 14.3) and

Improving Pediatric Asthma Care and Outcomes Across Multiple Hospitals

15,197 (SD 38,395), respectively: 22.8% of patients experienced at least 1 delay, accounting for 82 delay-related hospital days (9% of total hospital days) and

A systematic review of predictive modeling for bronchiolitis

170,000 in costs (8.9% of hospital costs); 42.3% of the delays resulted from physician behavior, 21.8% were related to discharge planning, 14.1% were related to consultation, and 12.8% were related to test scheduling. CONCLUSIONS Almost one-fourth of patients in this 1-month period could have been discharged sooner than they were. Impact of delays on LOS and costs are substantial. Interventions will need to address variations in physician criteria for discharge, more efficient discharge planning, and timely scheduling of consultation and diagnostic testing.

Activation of Transient Receptor Potential Ankyrin-1 by Insoluble Particulate Material and Association with Asthma

BACKGROUND AND OBJECTIVES: Gaps exist in inpatient asthma care. Our aims were to assess the impact of an evidence-based care process model (EB-CPM) 5 years after implementation at Primary Childrens Hospital (PCH), a tertiary care facility, and after its dissemination to 7 community hospitals. METHODS: Participants included asthmatics 2 to 17 years admitted at 8 hospitals between 2003 and 2013. The EB-CPM was implemented at PCH between January 2008 and March 2009, then disseminated to 7 community hospitals between January and June 2011. We measured compliance using a composite score (CS) for 8 quality measures. Outcomes were compared between preimplementation and postimplementation periods. Confounding was addressed through multivariable regression analyses. RESULTS: At PCH, the CS increased and remained at >90% for 5 years after implementation. We observed sustained reductions in asthma readmissions (P = .026) and length of stay (P < .001), a trend toward reduced costs (P = .094), and no change in hospital resource use, ICU transfers, or deaths. The CS also increased at the 7 community hospitals, reaching 80% to 90% and persisting >2 years after dissemination, with a slight but not significant readmission reduction (P = .119), a significant reduction in length of stay (P < .001) and cost (P = .053), a slight increase in hospital resource use (P = .032), and no change in ICU transfers or deaths. CONCLUSIONS: Our intervention resulted in sustained, long-term improvement in asthma care and outcomes at the tertiary care hospital and successful dissemination to community hospitals.

Using Computational Approaches to Improve Risk-Stratified Patient Management: Rationale and Methods.

PURPOSE Bronchiolitis is the most common cause of illness leading to hospitalization in young children. At present, many bronchiolitis management decisions are made subjectively, leading to significant practice variation among hospitals and physicians caring for children with bronchiolitis. To standardize care for bronchiolitis, researchers have proposed various models to predict the disease course to help determine a proper management plan. This paper reviews the existing state of the art of predictive modeling for bronchiolitis. Predictive modeling for respiratory syncytial virus (RSV) infection is covered whenever appropriate, as RSV accounts for about 70% of bronchiolitis cases. METHODS A systematic review was conducted through a PubMed search up to April 25, 2014. The literature on predictive modeling for bronchiolitis was retrieved using a comprehensive search query, which was developed through an iterative process. Search results were limited to human subjects, the English language, and children (birth to 18 years). RESULTS The literature search returned 2312 references in total. After manual review, 168 of these references were determined to be relevant and are discussed in this paper. We identify several limitations and open problems in predictive modeling for bronchiolitis, and provide some preliminary thoughts on how to address them, with the hope to stimulate future research in this domain. CONCLUSIONS Many problems remain open in predictive modeling for bronchiolitis. Future studies will need to address them to achieve optimal predictive models.