Outcomes of a Clinical Pathway to Standardize Use of Maintenance Intravenous Fluids.

OBJECTIVES: Improper use of maintenance intravenous fluids (IVFs) may cause serious hospital-acquired harm. We created an evidence-based clinical pathway to guide providers on the indications for IVF, its preferred composition, and appropriate clinical monitoring. METHODS: Pathway implementation was supported by the creation of an electronic order set (PowerPlan) and hospital-wide education. Outcomes were measured among pathway-eligible patients for the years before (July 1, 2014-June 30, 2015) and after (July 1, 2015-June 30, 2016) implementation. An interrupted time series analysis was used to evaluate monthly trends related to IVF use, including the following: median duration, proportions of isotonic and hypotonic IVF, adherence to monitoring recommendations, incidence of associated severe dysnatremia, potassium-containing IVF use in the emergency department, and costs. RESULTS: There were 11 602 pathway-eligible encounters (10 287 patients) across the study. Median IVF infusion hours did not change. Isotonic maintenance IVF use increased significantly from 9.3% to 50.6%, whereas the use of any hypotonic fluid decreased from 94.2% to 56.6%. There were significant increases in daily weight measurement and recommended serum sodium testing. Cases of dysnatremia increased from 2 to 4 among pathway-eligible patients and were mostly associated with hypotonic IVF use. Patients in the emergency department had a significant increase in the number of potassium-containing IVF bags (52.9% to 75.3%). Total hospitalization and laboratory test costs did not change significantly. CONCLUSIONS: This is the first report of outcomes of a clinical pathway to standardize IVF use. Implementation was feasible in both medical and surgical units, with sustained improvements for 1 year. Future improvement work includes increasing PowerPlan use and developing clinical assessment tools.

Reliable Pregnancy Testing Before Intravenous Cyclophosphamide: A Quality Improvement Study.

BACKGROUND AND OBJECTIVE: Cyclophosphamide is a teratogenic medication used in the treatment of adolescents with autoimmune disorders. This adolescent population is sexually active, does not receive adequate contraceptive care, and is at risk for unintended pregnancy. We undertook a quality improvement initiative to improve rates of pregnancy screening before intravenous cyclophosphamide administration in our adolescent girl patients. METHODS: Data were collected from the electronic medical record. The primary outcome was completion of a urine pregnancy test before intravenous cyclophosphamide infusion in girls aged 12 to 21 years between July 2011 and June 2015. Data were reviewed quarterly and an iterative quality improvement approach was used. Interventions included staff education, electronic order set updates, and a Maintenance of Certification project. Interrupted time series analysis and multivariable mixed effects logistic regression were used to evaluate trends over time and to adjust for potential confounders. RESULTS: Thirty girls received 153 cyclophosphamide infusions during the study. Pregnancy testing before medication administration increased from 25% to 100% by study completion. Infusions in the last time period were significantly more likely to be accompanied by a pregnancy test versus those in the first time period (odds ratio: 17.7; 95% confidence interval [CI]: 3.1-101.6) after adjustment for patient age, managing service, infusion setting, and insurance type. CONCLUSIONS: Our institution achieved a significant increase in standard pregnancy screening in adolescent girls receiving intravenous cyclophosphamide. The interventions most valuable in increasing screening rates were updating electronic order sets, educating staff, and physician engagement in the Maintenance of Certification program.

Stratification of children by medical complexity.

OBJECTIVE: To stratify children using available software, Clinical Risk Groups (CRGs), in a tertiary children's hospital, Seattle Children's Hospital (SCH), and a state's Medicaid claims data, Washington State (WSM), into 3 condition groups: complex chronic disease (C-CD); noncomplex chronic disease (NC-CD), and nonchronic disease (NC). METHODS: A panel of pediatricians developed consensus definitions for children with C-CD, NC-CD, and NC. Using electronic medical record review and expert consensus, a gold standard population of 700 children was identified and placed into 1 the 3 groups: 350 C-CD, 100 NC-CD, and 250 NC. CRGs v1.9 stratified the 700 children into the condition groups using 3 years of WSM and SCH encounter data (2008-2010). WSM data included encounters/claims for all sites of care. SCH data included only inpatient, emergency department, and day surgery claims. RESULTS: A total of 678 of 700 children identified in SCH data were matched in WSM data. CRGs demonstrated good to excellent specificity in correctly classifying all 3 groups in SCH and WSM data; C-CD in SCH (94.3%) and in WSM (91.1%); NC-CD in SCH (88.2%) and in WSM (83.7%); and NC in SCH (84.9%) and in WSM (94.6%). There was good to excellent sensitivity for C-CD in SCH (75.4%) and in WSM (82.1%) and for NC in SCH (98.4%) and in WSM (81.1%). CRGs demonstrated poor sensitivity for NC-CD in SCH (31.0%) and WSM (58.0%). Reasons for poor sensitivity in NC-CD are explored. CONCLUSIONS: CRGs can be used to stratify children receiving care at a tertiary care hospital according to complexity in both hospital and Medicaid administrative data. This method will enhance reporting of health-related outcome data.

Inpatient growth and resource use in 28 children's hospitals: a longitudinal, multi-institutional study.

OBJECTIVE: To compare inpatient resource use trends for healthy children and children with chronic health conditions of varying degrees of medical complexity. DESIGN: Retrospective cohort analysis. SETTING: Twenty-eight US children's hospitals. PATIENTS: A total of 1 526 051 unique patients hospitalized from January 1, 2004, through December 31, 2009, who were assigned to 1 of 5 chronic condition groups using 3M's Clinical Risk Group software. INTERVENTION: None. MAIN OUTCOME MEASURES: Trends in the number of patients, hospitalizations, hospital days, and charges analyzed with linear regression. RESULTS: Between 2004 and 2009, hospitals experienced a greater increase in the number of children hospitalized with vs without a chronic condition (19.2% vs 13.7% cumulative increase, P < .001). The greatest cumulative increase (32.5%) was attributable to children with a significant chronic condition affecting 2 or more body systems, who accounted for 19.2% (n = 63 203) of patients, 27.2% (n = 111 685) of hospital discharges, 48.9% (n = 1.1 million) of hospital days, and 53.2% ($9.2 billion) of hospital charges in 2009. These children had a higher percentage of Medicaid use (56.5% vs 49.7%; P < .001) compared with children without a chronic condition. Cerebral palsy (9179 [14.6%]) and asthma (13 708 [21.8%]) were the most common primary diagnosis and comorbidity, respectively, observed among these patients. CONCLUSIONS: Patients with a chronic condition increasingly used more resources in a group of children's hospitals than patients without a chronic condition. The greatest growth was observed in hospitalized children with chronic conditions affecting 2 or more body systems. Children's hospitals must ensure that their inpatient care systems and payment structures are equipped to meet the protean needs of this important population of children.

Predictive Analytics In Healthcare: Medications as a Predictor of Medical Complexity.

Children with special healthcare needs (CSHCN) require health and related services that exceed those required by most hospitalized children. A small but growing and important subset of the CSHCN group includes medically complex children (MCCs). MCCs typically have comorbidities and disproportionately consume healthcare resources. To enable strategic planning for the needs of MCCs, simple screens to identify potential MCCs rapidly in a hospital setting are needed. We assessed whether the number of medications used and the class of those medications correlated with MCC status. Retrospective analysis of medication data from the inpatients at Seattle Children's Hospital found that the numbers of inpatient and outpatient medications significantly correlated with MCC status. Numerous variables based on counts of medications, use of individual medications, and use of combinations of medications were considered, resulting in a simple model based on three different counts of medications: outpatient and inpatient drug classes and individual inpatient drug names. The combined model was used to rank the patient population for medical complexity. As a result, simple, objective admission screens for predicting the complexity of patients based on the number and type of medications were implemented.

Identifying children with lifelong chronic conditions for care coordination by using hospital discharge data.

BACKGROUND: Children with lifelong chronic conditions (LLCC) are costly, of low prevalence, and a high proportion of patients at children's hospitals. Few methods identify these patients. OBJECTIVES: We sought to identify children with LLCC in hospital discharge data for care coordination by using clinical risk groups (CRGs), to evaluate the accuracy of this methodology compared with a chart review and to investigate accuracy according to condition groups. METHODS: CRG software identified LLCC children who receive care at a primary care clinic, Odessa Brown Children's Clinic, by using Seattle Children's Hospital discharge data. RESULTS: There were 5356 active Odessa Brown Children's Clinic patients with at least 1 clinic encounter in 2006-2007. Six hundred two (11.2%) patients were admitted to Seattle Children's Hospital, and 1703 (31.8%) were seen only in the emergency department over 7 years (2001-2007). One hundred sixty-four (7%) were identified to have a LLCC. In a blind review of 200 (33.2%) children with inpatient encounters, the specificity of the CRG designation to LLCC was 95.0% (95% confidence interval [CI], 90.0%-98.0%), sensitivity 76.3% (95% CI, 63.4%-86.4%). Mental health conditions formed the largest group that was chart-review positive and CRG negative (7 of 14). Children hospitalized before 13 months of age were the second largest group (3 of 14). Clinical review placed the 164 patients in these condition groups: sickle cell disease, 43 (26.2%), neurological, 37 (22.6%), mental health, 22 (13.4%), malignancies, 4 (2.4%), other 52 (31.7%), and no chronic condition 6 (3.7%). CONCLUSION: This study demonstrates a unique way to identify children with LLCC for care coordination by using hospital administrative data.