Intravenous Magnesium and Hospital Outcomes in Children Hospitalized With Asthma.

2021

2021 Jul 01

2154-1671

<p><strong>BACKGROUND: </strong>Use of intravenous magnesium (IVMg) for childhood asthma exacerbations has increased significantly in the last decade. Emergency department administration of IVMg has been shown to reduce asthma hospitalization, yet most children receiving IVMg in the emergency department are subsequently hospitalized. Our objective with the study was to examine hospital outcomes of children given IVMg for asthma exacerbations.</p>

<p><strong>METHODS: </strong>We conducted a retrospective cohort study using data from the Pediatric Health Information System. We used propensity score matching to compare children who received IVMg on the first day of hospitalization with those who did not. Primary outcomes were initiation and duration of noninvasive positive pressure ventilation. Secondary outcomes included mechanical ventilation (MV) initiation, duration of MV, length of stay, and subsequent tertiary medication use. Primary analysis was restricted to children admitted to nonintensive care inpatient units.</p>

<p><strong>RESULTS: </strong>Overall, 91 309 hospitalizations met inclusion criteria. IVMg was administered in 25 882 (28.4%) children. After propensity score matching, IVMg was not significantly associated with lower initiation (adjusted odds ratio 0.88; 95% confidence interval [CI] 0.74-1.05) or shorter duration of noninvasive positive pressure ventilation (rate ratio 0.94; 95% CI 0.87-1.02). Similarly, no significant associations were seen for MV initiation, MV duration, or length of stay. IVMg was associated with lower subsequent tertiary medication use (adjusted odds ratio 0.66; 95% CI 0.60-0.72). However, the association was lost when ipratropium was removed from the tertiary medication definition.</p>

<p><strong>CONCLUSIONS: </strong>IVMg administration was not significantly associated with improved hospital outcomes. Further study is needed to inform the optimal indications and timing of magnesium use during hospitalization.</p>

10.1542/hpeds.2020-004770

Hosp Pediatr

34210764

Decreasing Emergency Department Use Is a Complex Conundrum.

2019

2019 May 22

1098-4275

10.1542/peds.2019-0838

Pediatrics

31118218

Impact of Discharge Components on Readmission Rates for Children Hospitalized with Asthma.

2018

175-181.e2

2018 Apr

1097-6833

<p><strong>OBJECTIVES: </strong>To describe hospital-based asthma-specific discharge components at children's hospitals and determine the association of these discharge components with pediatric asthma readmission rates.</p>

<p><strong>STUDY DESIGN: </strong>This is a multicenter retrospective cohort study of pediatric asthma hospitalizations in 2015 at children's hospitals participating in the Pediatric Health Information System. Children ages 5 to 17 years were included. An electronic survey assessing 13 asthma-specific discharge components was sent to quality leaders at all 49 hospitals. Correlations of combinations of asthma-specific discharge components and adjusted readmission rates were calculated.</p>

<p><strong>RESULTS: </strong>The survey response rate was 92% (45 of 49 hospitals). Thirty-day and 3-month adjusted readmission rates varied across hospitals, ranging from 1.9% to 3.9% for 30-day readmissions and 5.7% to 9.1% for 3-month readmissions. No individual or combination discharge components were associated with lower 30-day adjusted readmission rates. The only single-component significantly associated with a lower rate of readmission at 3 months was having comprehensive content of education (P &lt; .029). Increasing intensity of discharge components in bundles was associated with reduced adjusted 3-month readmission rates, but this did not reach statistical significance. This was seen in a 2-discharge component bundle including content of education and communication with the primary medical doctor, as well as a 3-discharge component bundle, which included content of education, medications in-hand, and home-based environmental mitigation.</p>

<p><strong>CONCLUSIONS: </strong>Children's hospitals demonstrate a range of asthma-specific discharge components. Although we found no significant associations for specific hospital-level discharge components and asthma readmission rates at 30 days, certain combinations of discharge components may support hospitals to reduce healthcare utilization at 3 months.</p>

10.1016/j.jpeds.2017.11.062

29395170

Regional Variation in Standardized Costs of Care at Children's Hospitals.

2017

818-825

2017 Oct

1553-5606

<p><strong>OBJECTIVE: </strong>(1) To evaluate regional variation in costs of care for 3 inpatient pediatric conditions, (2) assess potential drivers of variation, and (3) estimate cost savings from reducing variation.</p>

<p><strong>DESIGN/SETTING: </strong>Retrospective cohort study of hospitalizations for asthma, diabetic ketoacidosis (DKA), and acute gastroenteritis (AGE) at 46 children</p>

<p><strong>MEASUREMENTS:</strong> Variation in trimmed standardized costs were assessed within and across regions. Linear mixed effects models were adjusted for patient- and encounter-level variables to assess drivers of variation.</p>

<p><strong>RESULTS:</strong> After adjusting for patient-level factors, variation remained. Using census division clusters, mean trimmed and adjusted total standardized costs were 120% higher for asthma ($1920 vs $4227), 46% higher for DKA ($7429 vs $10,881), and 150% higher for AGE ($3316 vs $8292) in the highest-cost compared with the lowest-cost region. Comparing hospitals in the same region, standardized costs were significantly different (P &lt; 0.001) for each condition in each region. Drivers of variation were encounter-level variables including length of stay and intensive care unit utilization. For this cohort, annual savings from reducing variation would equal $69.1 million at the interregional level and $25.2 million at the intraregional level.</p>

<p><strong>CONCLUSIONS:</strong> Pediatric hospital costs vary between and within regions. Future studies should examine how much of this variation is avoidable. To the extent that less spending does not compromise outcomes, care models may be adjusted to eliminate unwarranted variation and reduce costs.</p>

10.12788/jhm.2729

J Hosp Med

28991947

Adding Social Determinant Data Changes Children's Hospitals' Readmissions Performance.

2017

2017 May 02

1097-6833

<p><strong>OBJECTIVES: </strong>To determine whether social determinants of health (SDH) risk adjustment changes hospital-level performance on the 30-day Pediatric All-Condition Readmission (PACR) measure and improves fit and accuracy of discharge-level models.</p>

<p><strong>STUDY DESIGN: </strong>We performed a retrospective cohort study of all hospital discharges meeting criteria for the PACR from 47 hospitals in the Pediatric Health Information database from January to December 2014. We built four nested regression models by sequentially adding risk adjustment factors as follows: chronic condition indicators (CCIs); PACR patient factors (age and sex); electronic health record-derived SDH (race, ethnicity, payer), and zip code-linked SDH (families below poverty level, vacant housing units, adults without a high school diploma, single-parent households, median household income, unemployment rate). For each model, we measured the change in hospitals' readmission decile-rank and assessed model fit and accuracy.</p>

<p><strong>RESULTS: </strong>For the 458 686 discharges meeting PACR inclusion criteria, in multivariable models, factors associated with higher discharge-level PACR measure included age &lt;1 year, female sex, 1 of 17 CCIs, higher CCI count, Medicaid insurance, higher median household income, and higher percentage of single-parent households. Adjustment for SDH made small but significant improvements in fit and accuracy of discharge-level PACR models, with larger effect at the hospital level, changing decile-rank for 17 of 47 hospitals.</p>

<p><strong>CONCLUSIONS: </strong>We found that risk adjustment for SDH changed hospitals' readmissions rate rank order. Hospital-level changes in relative readmissions performance can have considerable financial implications; thus, for pay for performance measures calculated at the hospital level, and for research associated therewith, our findings support the inclusion of SDH variables in risk adjustment.</p>

10.1016/j.jpeds.2017.03.056

J. Pediatr.

28476461

Children's Hospital Characteristics and Readmission Metrics.

2017

2017 Jan 25

1098-4275

<p><strong>BACKGROUND AND OBJECTIVE: </strong>Like their adult counterparts, pediatric hospitals are increasingly at risk for financial penalties based on readmissions. Limited information is available on how the composition of a hospital's patient population affects performance on this metric and hence affects reimbursement for hospitals providing pediatric care. We sought to determine whether applying different readmission metrics differentially affects hospital performance based on the characteristics of patients a hospital serves.</p>

<p><strong>METHODS: </strong>We performed a cross-sectional analysis of 64 children's hospitals from the Children's Hospital Association Case Mix Comparative Database 2012 and 2013. We calculated 30-day observed-to-expected readmission ratios by using both all-cause (AC) and Potentially Preventable Readmissions (PPR) metrics. We examined the association between observed-to-expected rates and hospital characteristics by using multivariable linear regression.</p>

<p><strong>RESULTS: </strong>We examined a total of 1 416 716 hospitalizations. The mean AC 30-day readmission rate was 11.3% (range 4.3%-19.6%); the mean PPR rate was 4.9% (range 2.9%-6.9%). The average 30-day AC observed-to-expected ratio was 0.96 (range 0.63-1.23), compared with 0.95 (range 0.65-1.23) for PPR; 59% of hospitals performed better than expected on both measures. Hospitals with higher volumes, lower percentages of infants, and higher percentage of patients with low income performed worse than expected on PPR.</p>

<p><strong>CONCLUSIONS: </strong>High-volume hospitals, those that serve fewer infants, and those with a high percentage of patients from low-income neighborhoods have higher than expected PPR rates and are at higher risk of reimbursement penalties.</p>

10.1542/peds.2016-1720

Pediatrics

28123044

Association of Social Determinants With Children's Hospitals' Preventable Readmissions Performance.

2016

350-8

2016 Apr 1

2168-6211

<p><strong>IMPORTANCE: </strong>Performance-measure risk adjustment is of great interest to hospital stakeholders who face substantial financial penalties from readmissions pay-for-performance (P4P) measures. Despite evidence of the association between social determinants of health (SDH) and individual patient readmission risk, the effect of risk adjusting for SDH on readmissions P4P penalties to hospitals is not well understood.</p>

<p><strong>OBJECTIVE: </strong>To determine whether risk adjustment for commonly available SDH measures affects the readmissions-based P4P penalty status of a national cohort of children's hospitals.</p>

<p><strong>DESIGN, SETTING, AND PARTICIPANTS: </strong>Retrospective cohort study of 43 free-standing children's hospitals within the Pediatric Health Information System database in the calendar year 2013. We evaluated hospital discharges from 2013 that met criteria for 3M Health Information Systems' potentially preventable readmissions measure for calendar year 2013. The analysis was conducted from July 2015 to August 2015.</p>

<p><strong>EXPOSURES: </strong>Two risk-adjustment models: a baseline model adjusted for severity of illness and an SDH-enhanced model that adjusted for severity of illness and the following 4 SDH variables: race, ethnicity, payer, and median household income for the patient's home zip code.</p>

<p><strong>MAIN OUTCOMES AND MEASURES: </strong>Change in a hospital's potentially preventable readmissions penalty status (ie, change in whether a hospital exceeded the penalty threshold) using an observed-to-expected potentially preventable readmissions ratio of 1.0 as a penalty threshold.</p>

<p><strong>RESULTS: </strong>For the 179 400 hospital discharges from the 43 hospitals meeting inclusion criteria, median (interquartile range [IQR]) hospital-level percentages for the SDH variables were 39.2% nonwhite (n = 71 300; IQR, 28.6%-54.6%), 17.9% Hispanic (n = 32 060; IQR, 6.7%-37.0%), and 58.7% publicly insured (n = 106 116; IQR, 50.4%-67.8%). The hospital median household income for the patient's home zip code was $40 674 (IQR, $35 912-$46 190). When compared with the baseline model, adjustment for SDH resulted in a change in penalty status for 3 hospitals within the 15-day window (2 were no longer above the penalty threshold and 1 was newly penalized) and 5 hospitals within the 30-day window (3 were no longer above the penalty threshold and 2 were newly penalized).</p>

<p><strong>CONCLUSIONS AND RELEVANCE: </strong>Risk adjustment for SDH changed hospitals' penalty status on a readmissions-based P4P measure. Without adjusting P4P measures for SDH, hospitals may receive penalties partially related to patient SDH factors beyond the quality of hospital care.</p>

10.1001/jamapediatrics.2015.4440

JAMA Pediatr

26881387

Socioeconomic Status and Hospitalization Costs for Children with Brain and Spinal Cord Injury.

2016

250-5

2016 Feb

1097-6833

<p><strong>OBJECTIVE: </strong>To determine if household income is associated with hospitalization costs for severe traumatic brain injury (TBI) and spinal cord injury (SCI).</p>

<p><strong>STUDY DESIGN: </strong>Retrospective cohort study of inpatient, nonrehabilitation hospitalizations at 43 freestanding children's hospitals for patients &lt;19&nbsp;years old with unintentional severe TBI and SCI from 2009-2012. Standardized cost of care for hospitalizations was modeled using mixed-effects methods, adjusting for age, sex, race/ethnicity, primary payer, presence of chronic medical condition, mechanism of injury, injury severity, distance from residence to hospital, and trauma center level. Main exposure was zip code level median annual household income.</p>

<p><strong>RESULTS: </strong>There were 1061 patients that met inclusion criteria, 833 with TBI only, 227 with SCI only, and 1 with TBI and SCI. Compared with those with the lowest-income zip codes, patients from the highest-income zip codes were more likely to be older, white (76.7% vs 50.4%), have private insurance (68.9% vs 27.9%), and live closer to the hospital (median distance 26.7 miles vs 81.2 miles). In adjusted models, there was no significant association between zip code level household income and hospitalization costs.</p>

<p><strong>CONCLUSIONS: </strong>Children hospitalized with unintentional, severe TBI and SCI showed no difference in standardized hospital costs relative to a patient's home zip code level median annual household income. The association between household income and hospitalization costs may vary by primary diagnosis.</p>

10.1016/j.jpeds.2015.10.043

J. Pediatr.

26563534

Children's hospitals with shorter lengths of stay do not have higher readmission rates.

2013

1034-8.e1

2013 Oct

1097-6833

<p><strong>OBJECTIVE: </strong>To test the hypothesis that children's hospitals with shorter length of stay (LOS) for hospitalized patients have higher all-cause readmission rates.</p>

<p><strong>STUDY DESIGN: </strong>Longitudinal, retrospective cohort study of the Pediatric Health Information System of 183616 admissions within 43 US children's hospitals for appendectomy, asthma, gastroenteritis, and seizure between July 2009 and June 2011. Admissions were stratified by medical complexity, based on whether patients had a complex chronic health condition, were neurologically impaired, or were assisted with medical technology. Outcome measures include LOS; all-cause readmission rates within 3, 7, 15, and 30 days; and the association between hospital-specific mean LOS and all-cause readmission rates as determined by linear regression.</p>

<p><strong>RESULTS: </strong>Mean LOS was &lt;3 days for all patients across all conditions, except for appendectomy in complex patients (mean LOS 3.7 days, 95% CI 3.47-4.01). Condition-specific 3-, 7-, 15-, and 30-day all-cause readmission rates for noncomplex patients were all &lt;5%. Condition-specific readmission rates for complex patients ranged from &lt;1% at 3 days for seizures to 16% at 30 days for gastroenteritis. There was no linear association between hospital-specific, condition-specific mean LOS, stratified by medical complexity, and all-cause readmission rates at any time interval within 30 days (all P values ≥.10).</p>

<p><strong>CONCLUSION: </strong>In children's hospitals, LOS is short and readmission rates are low for asthma, appendectomy, gastroenteritis, and seizure admissions. In the conditions studied, there is no association between shorter hospital-specific LOS and higher readmission rates within the LOS observed.</p>

10.1016/j.jpeds.2013.03.083

J. Pediatr.

23683748

Rates and impact of potentially preventable readmissions at children's hospitals.

2015

613-9.e5

03/2015

1097-6833

<p><strong>OBJECTIVE: </strong>To assess readmission rates identified by 3M-Potentially Preventable Readmissions software (3M-PPRs) in a national cohort of children's hospitals.</p>

<p><strong>STUDY DESIGN: </strong>A total of 1 719 617 hospitalizations for 1 531 828 unique patients in 58 children's hospitals from 2009 to 2011 from the Children's Hospital Association Case-Mix Comparative database were examined. Main outcome measures included rates, diagnoses, and costs of potentially preventable readmissions (PPRs) and all-cause readmissions.</p>

<p><strong>RESULTS: </strong>The 7-, 15-, and 30-day rates by 3M-PPRs were 2.5%, 4.1%, and 6.2%, respectively. Corresponding all-cause readmission rates were 5.0%, 8.7%, and 13.3%. At 30 days, 60.6% of all-cause readmissions were considered nonpreventable by 3M-PPRs, more than one-half of which were related to malignancies. The percentage of readmissions rated as potentially preventable was similar at all 3 time intervals. Readmissions after chemotherapy, acute leukemia, and cystic fibrosis were all considered nonpreventable, and at least 80% of readmissions after index admissions for sickle cell crisis, bronchiolitis, ventricular shunt procedures, asthma, and appendectomy were designated potentially preventable. Total costs for all readmissions were $1.7 billion; PPRs accounted for 27.3% of these costs. The most costly readmissions were associated with ventricular shunt procedures ($26.5 million/year), seizures ($15.5 million/year), and sickle cell crisis ($15.0 million/year).</p>

<p><strong>CONCLUSIONS: </strong>Rates of PPRs were significantly lower than all-cause readmission rates more than one-half of which were caused by exclusion of malignancies. Annual costs of PPRs, although significant in the aggregate, appear to represent a much smaller cost-savings opportunity for children than for adults. Our study may help guide children's hospitals to focus readmission reduction strategies on areas where the financial vulnerability is greatest based on 3M-PPRs.</p>

10.1016/j.jpeds.2014.10.052

J. Pediatr.

25477164