Pediatric obesity and safety in inpatient settings: a systematic literature review

A Customized Triggers Program: A Children's Hospital's Experience in Improving Trigger Usability

BACKGROUND

Despite the growth of patient safety programs across the United States, errors and adverse events remain a source of patient harm. Many hospitals rely on retrospective voluntary reporting systems; however, there are opportunities to improve patient safety using novel tools like trigger programs.

METHODS

Children's National Hospital developed a unique pediatric triggers program that offers customized, near real-time reports of potential safety events. Our team defined a measure to quantify clinical utility of triggers, termed "trigger signal," as the percentage of cases that represent true adverse or near-miss events (numerator) per total triggers activated (denominator). Our key driver diagram focused on unifying the program structure, increasing data analytics, promoting organizational awareness, and supporting multidisciplinary end user engagement. Using the model for improvement, we aimed to double overall trigger signal from 8% to 16% and sustain for 12 months.

RESULTS

The trigger signal increased from 8% to 41% and sustained during the coronavirus disease 2019 pandemic. A balancing measure of time to implement a new trigger decreased. Key interventions to increase trigger signal were change in the program structure, increasing stakeholder engagement, and development of self-service reports for end users.

CONCLUSIONS

Children's National Hospital's triggers program highlights successful evolution of an iterative, customized approach to increase clinical utility that hospitals can implement to impact real-time patient care. This triggers program requires an iterative, customized approach rather than a "1-size-fits-all," static paradigm to add a new dimension to current patient safety programs.

Inpatient medical management of severe pediatric obesity: Literature review and case reports

Pediatric obesity rates continue to rise steeply with significant adverse effects on health outcomes across the lifespan. Significant obesity can affect the efficacy, side effects, and ability to use certain treatment, medication, or imaging modalities needed in the evaluation and management of acute pediatric conditions. Inpatient settings are rarely used as an opportunity for weight counseling and thus there is a paucity of clinical guidelines on how to manage severe obesity in the inpatient setting. We present a literature review and three patient cases with single-center protocol for non-surgical management of severe obesity in children admitted for other acute medical reasons. We performed a PubMed review from January 2002 to February 2022 utilizing keywords: "inpatient," "obesity," and "intervention." For our cases, we identified three patients with severe obesity acutely impacting their health while admitted for medical treatment who concurrently underwent acute, inpatient, weight loss regimens at a single children's hospital. The literature search yielded 33 articles describing inpatient weight loss treatments. Three patients met case criteria, all three of which demonstrated a decrease in their weight in excess percent of the 95th percentile after inpatient weight-management protocol implementation (% reduction BMI_p95: 16%-30%). This highlights obesity acutely limits or impacts specific medical care required during inpatient admissions in pediatric patients. It also suggests that implementation of an inpatient weight-management protocol during admission may provide an opportune setting to support acute weight loss and overall improved health outcomes in this high-risk cohort.

Disparities in Adverse Event Reporting for Hospitalized Children

OBJECTIVES

Hospitals rely on voluntary event reporting (VER) for adverse event (AE) identification, although it captures fewer events than a trigger tool, such as Global Assessment of Pediatric Patient Safety (GAPPS). Medical providers exhibit bias based on patient weight status, race, and English proficiency. We compared the AE rate identified by VER with that identified using the GAPPS between hospitalized children by weight category, race, and English proficiency.

METHODS

We identified a cohort of patients 2 years to younger than 18 years consecutively discharged from an academic children's hospital between June and October 2018. We collected data on patient weight status from age, sex, height, and weight, race/ethnicity by self-report, and limited English proficiency by record of interpreter use. We reviewed each chart with the GAPPS to identify AEs and reviewed VER entries for each encounter. We calculated an AE rate per 1000 patient-days using each method and compared these using analysis of variance.

RESULTS

We reviewed 834 encounters in 680 subjects; 262 (38.5%) had overweight or obesity, 144 (21.2%) identified as Black, and 112 (16.5%) identified as Hispanic; 82 (9.8%) of encounters involved an interpreter. We identified 288 total AEs, 270 (93.8%) by the GAPPS and 18 (6.3%) by VER. A disparity in AE reporting was found for children with limited English proficiency, with fewer AEs by VER ( P = 0.03) compared with no difference in AEs by GAPPS. No disparities were found by weight category or race.

CONCLUSIONS

Voluntary event reporting may systematically underreport AEs in hospitalized children with limited English proficiency.

Body Mass Index Category and Adverse Events in Hospitalized Children

OBJECTIVE

To identify associations between patient body mass index (BMI) category and adverse event (AE) rate, severity, and preventability in a cohort of children discharged from an academic children's hospital.

METHODS

We identified patients 2 to 17 years old consecutively discharged between June and October 2018. Patient age, sex, height, and weight were used to categorize patients as having underweight, normal weight, overweight, or obesity. We used the Global Assessment of Pediatrics Patient Safety trigger tool to identify AEs, which were scored for harm and preventability. The primary outcome was the rate of AEs; these were compared with Poisson regression. We used multivariable logistic regression to model event preventability.

RESULTS

We reviewed 834 encounters in 680 subjects; 51 (7.5%) had underweight, 367 (54.0%) had normal weight, 112 (16.5%) had overweight, and 150 (22.1%) had obesity. Our cohort experienced 270 AEs, with an overall rate of 69.7 (61.8-78.5) AEs per 1000 patient-days: 67.7 (46.4-98.7) in underweight, 70.0 (59.4-82.4) in normal weight, 58.6 (42.5-79.7) in overweight, and 80.4 (62.5-103.6) in obesity, P = .46. No associations were seen between BMI category and AE severity. Children with obesity had an increased rate of preventable AEs (P < .01), but this association did not persist in the multivariable model.

CONCLUSIONS

In this single-center study, we did not find associations between BMI category and rate, severity, or preventability of AEs.

Clinical Outcome and Antibiotic Dosing Differences by Weight in Children With Acute Osteomyelitis

OBJECTIVES

To evaluate for weight-based differences in clinical outcomes and antibiotic dosing variability for children hospitalized with acute hematogenous osteomyelitis (AHO).

METHODS

We performed a retrospective cohort study of children aged 2 to 17 years and hospitalized with a primary AHO International Classification of Diseases, Ninth Revision or International Classification of Diseases, 10th Revision diagnosis code between 2010 and 2017 using the Cerner Health Facts database. Weight categories (healthy, overweight, obesity) were determined by using Centers for Disease Control and Prevention age- and sex-specific BMI percentiles. Rates of procedures, complications, and length of stay (LOS) were compared between groups. Dosing variability between groups was assessed by comparing the initial milligrams per kilogram per day of prescribed antibiotics.

RESULTS

We identified 755 children with AHO for inclusion. Children with overweight and obesity were more likely to undergo surgical procedures (19% and 17%, respectively) compared with children with a healthy weight (10%; P = .009). They also had a longer LOS (5.7 and 5.8 days) than children with a healthy weight (4.9 days; P = .03). There were no differences in complication rates between weight categories. Mean weight-adjusted daily dose for the most frequently prescribed antibiotics was different by weight category, with children in higher weight categories more likely to receive lower weight-based doses.

CONCLUSIONS

Children with overweight and obesity hospitalized for AHO were more likely to undergo procedures, have longer LOS, and receive lower weight-based antibiotic dosing compared with children with a healthy weight. Our findings suggest that weight should be carefully considered when treating children with AHO.

Racial and Socioeconomic Disparities in Hospitalization of Pediatrics with Liver Disease from 2005 to 2015

BACKGROUND

Adult liver-related hospitalizations have recently increased in the USA, but data are limited for the pediatric population.

AIMS

Utilizing the Office of Statewide Health Planning and Development hospital claims database (covering > 98% of all California hospitalizations), we aimed to characterize the demographic, clinical, and socioeconomic factors of liver disease-associated admissions among children between 2005 and 2015.

METHODS

We used ICD-9 codes to identify admissions associated with liver disease in patients up to 21 years of age. Patient characteristics were described as percentages and evaluated using the χ² test. We used linear regression to examine changes over time.

RESULTS

We analyzed 37,372 eligible admissions. Overall, close to one-third (28%) and one-half (48.0%) of admissions occurred in the age group 0-5 years and 16-21 years, respectively, with the remaining 23.1% occurring in the age group between 5 and 15 years. Over half (54.9%) were in males. By race, blacks made up half of the admission (49.7%), while by ethnicity, Hispanic also accounted for half of the admission (49.7%). Medicaid and Medicare payors were also disproportionately represented (54.6%). The most common liver disease was Alagille syndrome (29.2%) in 2005. Between 2005 and 2015, both the number of pediatric liver-associated admissions and the proportion of pediatric liver admissions over total admissions increased from 3130 to 3429 and 1.2% to 1.6%, respectively (both p = 0.001). By 2015, while Alagille syndrome admissions decreased to 26.4% (p = 0.004), NAFLD admission increased to 19.7% (p < 0.001).

CONCLUSION

Major disparities exist in inpatient liver disease burden for blacks and Hispanics with liver disease, while NAFLD emerged as a rapidly rising liver disease in pediatrics.

Obesity and Corticosteroid Dosing Guideline Adherence in Children Hospitalized With Asthma

OBJECTIVES

Drug dosing recommendations for children with obesity remain limited. This may lead to variability in medication dosing among children with obesity. Therefore, our objective was to determine differences in the prevalence of guideline-nonadherent systemic corticosteroid orders by weight category in children hospitalized for asthma.

METHODS

We performed a retrospective cross-sectional study of children aged 2 to 17 years hospitalized with asthma and prescribed systemic corticosteroids between January 1, 2010, and December 31, 2017, using the Cerner Health Facts deidentified database. Weight categories ranging from underweight to class III obesity were defined on the basis of BMI percentiles by using CDC guidelines. Corticosteroid orders were categorized as guideline adherent or nonadherent on the basis of total body weight-based dosing guidelines from the National Heart, Lung, and Blood Institute. χ² test and multivariable logistic regression models were used to determine differences in guideline adherence between weight categories.

RESULTS

We identified 21 488 children prescribed systemic corticosteroids during asthma hospitalizations. Most (54.2%) had a healthy weight, and 23.8% had obesity. Almost one-quarter received guideline-nonadherent orders (22.2%), with increasing prevalence among higher weight categories (19.4% of healthy weight children versus 36.0% of those with class III obesity; P < .001). After controlling for demographic and clinical covariates, weight category remained significantly associated with receiving a guideline-nonadherent order (P < .001).

CONCLUSIONS

The prevalence of guideline-nonadherent corticosteroid orders for children hospitalized with asthma increases linearly with weight category, disproportionately affecting children with severe obesity. Standardization of drug dosing guidelines for children with obesity may help reduce variability in drug doses prescribed that may increase risk of harm.

Associations Between Obesity and Use for Pediatric Hospitalizations

BACKGROUND

Obesity is associated with poor outcomes for specific clinical groups of hospitalized children, but few data exist on outcomes of children with obesity on a larger scale during hospitalization. Therefore, we aimed to determine if use outcomes differ between hospitalized children with obesity and hospitalized children without obesity.

METHODS

We performed a retrospective longitudinal cohort study of all children aged 2 to 19 years hospitalized at a single academic institution between January 1, 2009, and December 31, 2016. BMI was calculated from documented height and weight; obesity was defined by using age- and sex-specific BMI percentile guidelines from the Centers for Disease Control and Prevention. Only All Patient Refined Diagnosis-Related Groups (APR-DRGs) with >100 admissions during the study period were included. Primary outcome measures included hospital length of stay, hospital cost, and 14-day readmission. Generalized linear and logistic models were used to determine adjusted differences for outcome measures between patients with and without obesity.

RESULTS

Of 78 756 included hospitalizations, obesity rates increased from 16.5% in 2009-2010 to 17.3% in 2015-2016 (P = .002). Only 6 (4.7%) of the 128 APR-DRGs examined were associated with increased use for patients with obesity: spinal procedures, tonsil and adenoid procedures, major respiratory procedures, peptic ulcer and gastritis, other musculoskeletal diagnoses, and other kidney and urinary tract diagnoses. There were no APR-DRGs with increased length of stay for children with obesity.

CONCLUSIONS

Obesity is associated with increased hospitalization cost and readmission rates for a minority of diagnosis groups. Some groups of hospitalized children with obesity may benefit from targeted interventions to reduce obesity-specific risks. Future research should be focused on disparities in other relevant clinical outcomes.

Prevalence and Trends in Obesity Among Hospitalized Children

OBJECTIVES

As obesity rates rise in children, it is likely that the number of hospitalized children with obesity is also increasing. However, characterization of the inpatient population with obesity as a whole has not been reported. We aimed to examine trends in the annual prevalence of obesity in hospitalized children and to identify demographic and clinical characteristics associated with higher obesity prevalence in children who are hospitalized.

METHODS

We completed a retrospective cohort analysis of children aged 2 to 19 years admitted to a single tertiary children's hospital system for any reason in 2009-2016. Body mass index was calculated from documented height and weight. Children with obesity were defined by using age- and sex-specific body mass index percentile guidelines established by the Centers for Disease Control and Prevention. Annual obesity prevalence was calculated on the encounter level for service line and All Patients Refined Diagnosis-Related Groups (diagnosis groups). χ² tests were used to determine statistical differences between groups, and the Cochran-Armitage test of trend was used to describe changes in obesity over time.

RESULTS

Of 83 329 children who were hospitalized, 17.0% had obesity, increasing from 16.5% of hospitalizations in 2009-2010 to 17.3% in 2015-2016 (P = .002). Service lines with the highest obesity prevalence included orthopedics (22.1%), infectious disease (20.6%), and neuroscience (18.7%). Diagnosis groups with the highest obesity prevalence included cellulitis (22.5%), tonsil/adenoid procedures (22.0%), and some orthopedic procedures (28.7%).

CONCLUSIONS

Some groups of children who were hospitalized experience higher obesity prevalence, including children hospitalized with orthopedic, infectious disease, and neurologic problems. In future research, investigators should target disproportionately affected groups by examining health outcomes, patient safety, and satisfaction issues.

Patient Characteristics Associated With Voluntary Safety Event Reporting in the Acute Care Setting

OBJECTIVES

Adverse events are increasingly important to health care delivery and financial reimbursement. Most hospitals use voluntary event reporting (VER) systems to detect safety events, which may be vulnerable to individual and systemic biases. We tested the hypothesis that patient demographic factors such as weight status and race would be associated with safety event reporting in the acute care setting.

METHODS

We reviewed all acute care encounters for patients 2 to 17 years of age and corresponding safety events entered in the VER system of a tertiary-care children's hospital from February 2015 to February 2016. Data collected included patient demographics, clinical characteristics, incident description, and reported harm score. Our primary outcome was any report of a safety event. Using χ² and multivariable logistical regression methods, we determined patient characteristics associated with safety event reporting.

RESULTS

A total of 22 056 patient encounters were identified, and 341 (1.5%) of those had a reported safety event. In univariate analysis, age, weight category, and race were found to be significantly associated with event reporting, whereas sex and insurance provider were not. In the multivariable logistic regression model, obesity (odds ratio [OR] 0.69; 95% confidence interval [CI] 0.49-0.97) and African American race (OR 0.65; 95% CI 0.46-0.93) were negatively associated with event reporting, whereas length of stay was positively associated (OR 1.51; 95% CI 1.46-1.55).

CONCLUSIONS

We identified associations between patient demographic factors and voluntary safety event reporting in the acute care setting. In future studies, we will compare VER to event identification by more objective measures, such as a trigger tool.

Weight Bias in Pediatric Inpatient Care

OBJECTIVE

Weight bias can influence medical care but has not been studied in the pediatric inpatient setting. We will quantify implicit and explicit weight bias of pediatric inpatient providers and qualitatively explore providers' attitudes toward children with obesity and patient/family perceptions of weight bias in the hospital.

METHODS

We performed a mixed-methods study including semistructured key informant interviews and validated tests for implicit (Implicit Association Test) and explicit (Crandall's Anti-Fat Attitudes Questionnaire) bias with pediatric hospitalists, residents, and acute care nurses. We performed semistructured key informant interviews with pediatric inpatients aged 7 to 17 years and the patient's parent(s) or guardian(s). Interviews were coded using an inductive approach to identify recurrent themes.

RESULTS

We enrolled 28 pediatric providers, 12 patients, and 12 parents/guardians. In total, 71% of providers exhibited moderate or strong implicit weight bias, with generally lower scores for explicit bias. Qualitative analysis identified seven themes: the existence of weight bias, shared responsibility for a child's obesity, a potential for provider bias toward the parents of pediatric patients with obesity, possible effects of patient weight on inpatient care, importance of terminology in addressing obesity, and the possibility of addressing obesity inpatient but a preference for obesity to be addressed in the outpatient setting.

CONCLUSIONS

Health care providers, patients, and families in the pediatric inpatient setting identified multiple ways that obesity could impact care, including provider weight bias.

Vascular Access in Critically Ill Pediatric Patients With Obesity

OBJECTIVES

Pediatric obesity is highly prevalent and has been associated with poor outcomes for hospitalized children. Vascular access is essential in critically ill patients. The aim of this study was to evaluate whether critically ill children with obesity are more likely to undergo vascular device insertion (excluding peripheral IV catheters) and develop related complications.

DESIGN

Multi-institutional retrospective observational cohort study.

SETTING

Ninety-four U.S. PICUs included in the Virtual Pediatric Systems, LLC database.

PATIENTS

120,272 unique patients 2 to less than 18 years old admitted between January 2009 and December 2014.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

Patients were categorized into normal weight, overweight, and obese (class 1, 2, or 3); underweight patients were excluded. We used mixed-effects multivariable logistic regression to test body mass index category as an independent predictor of vascular device placement and associated complications, adjusted for age, sex, severity of illness, primary diagnosis, presence of a complex chronic condition, and admission related to trauma or surgery. A total of 73,964 devices were placed in 45,409 patients (37.8% of the total cohort received a vascular device). Most device types placed differed significantly by weight status. Subjects with class 3 obesity were less likely (odds ratio, 0.74; 95% CI, 0.67-0.81) to undergo placement of any device compared with normal weight patients. Patients with all classes of obesity were more likely to undergo placement of a peripherally inserted central catheter, with the strongest association in those with class 2 obesity (odds ratio, 1.26; 95% CI, 1.14-1.40). Class 1 and class 3 obesity were independent risk factors for developing a complication, with odds ratio of 1.31 (95% CI, 1.11-1.53) and 1.45 (95% CI, 1.07-1.99), respectively.

CONCLUSIONS

Severe obesity is associated with decreased overall likelihood of placement of a vascular access device but increased likelihood of peripherally inserted central catheter placement and of device-related complications.

Factors Associated With Documentation of Obesity in the Inpatient Setting

OBJECTIVES

Childhood obesity is rarely identified in hospitalized pediatric patients despite the high prevalence of obesity and potential for associated morbidity. The purpose of this study was to identify specific patient characteristics associated with the documentation of obesity and related weight management recommendations in the inpatient setting.

METHODS

Retrospective chart review was conducted on all pediatric patients ages 2 to 18 years old and discharged between January 1, 2012, and December 31, 2014, to determine the following: (1) if obesity was noted in the clinical documentation of those with a BMI ≥95th percentile; and (2) if those with documented obesity had evidence of an obesity-specific management plan. Using χ2 and multivariable logistic regression, we determined patient characteristics associated with the documentation of obesity and presence of a management plan.

RESULTS

Only 26% (214 of 809) of inpatients with obesity had documentation of weight status. The odds of obesity documentation were higher in patients with comorbid cholelithiasis, severe obesity, and older age. Of those with obesity documentation, 23% (49 of 214) had an obesity management plan. Comorbid sleep apnea and admission to a surgical service with a pediatric hospital medicine consult were significantly associated with the presence of an obesity management plan.

CONCLUSIONS

Increased efforts are necessary to improve obesity diagnosis and management in younger children who have not yet developed comorbidities. Additionally, the role of pediatric hospitalists as consultants for surgical patients should be further explored as a tool for addressing obesity during inpatient hospitalization.

Competitive interactions between glucose and lactose with BSA: which sugar is better for children?

The study strongly suggested that, as compared with glucose, lactose is more likely to promote the growth and development of healthy children.

A Follow-up Study on BMI-SDS and Insulin Resistance in Overweight and Obese Children at Risk for Type 2 Diabetes Mellitus

Objectives. To evaluate body mass index standard deviation score (BMI-SDS), insulin sensitivity, and progression to type 2 diabetes mellitus (T2DM) in children at risk for T2DM approximately 3 years after being diagnosed with overweight/obesity and insulin resistance (measured by Homeostasis Model Assessment of Insulin Resistance [HOMA-IR]). Methods. Out of 86 invited children, 44 (mean age 15.4 ± 3.6 years) participated. Medical history, physical examination, and laboratory workup were performed. Results. While the mean BMI-SDS significantly increased from 2.9 to 3.4, the mean HOMA-IR significantly decreased from 5.5 to 4.6 (baseline vs follow-up visit). Change in HOMA-IR was only due to a decrease in mean fasting plasma insulin (24.1 vs 21.1, P = .073). Conclusions. Although increase in BMI-SDS in these children is worrisome, the American Diabetes Association recommended screening interval of 3 years for children at risk for T2DM is not too long based on the fact that none of our study participants developed T2DM.