Medical injuries among hospitalized children

Inequities in quality and safety outcomes for hospitalized children with intellectual disability

AIM

To investigate if there are inequities in quality and safety outcomes for children with intellectual disability admitted to two tertiary paediatric hospitals.

METHOD

A cross-sectional study of 1367 admissions for 1018 randomly selected patients admitted for more than 23 hours to one of two tertiary children's hospitals in Sydney, Australia (1st January-31st December 2017). Electronic medical records were manually interrogated to identify children with intellectual disability (including developmental delay). Data extracted included patient demographics, length of stay, number of admissions, and reported clinical incidents.

RESULTS

In total, 12.3% (n=125) of children admitted during the study period had intellectual disability, which represented 13.9% (n=190) of admissions. Sex and age at admission in children with and without intellectual disability were similar: 83 (43.7%) vs 507 (43.1%) females and 107 (56.3%) vs 670 (56.9%) males, p=0.875; median age 3 years (0-18y) vs 4 years (0-18y), p=0.122. Children with intellectual disability had significantly greater median length of stay (100.5h vs 79h, p<0.001) and cost of admission (A$11 596.38 vs A$8497.96) than their peers (p=0.001). Children with intellectual disability had more admissions with at least one incident compared to children without intellectual disability (14.7% vs 9.7%); this was not statistically significant (p=0.06).

INTERPRETATION

Children with intellectual disability experience inequitable quality and safety outcomes in hospital. Engaging children and families in clinical incident reporting may enhance understanding of safety risks for children with intellectual disability in hospital.

Creating equitable healthcare quality and safety for children with intellectual disability in hospital

Children with intellectual disability are susceptible to poor experiences of care and treatment outcomes, and this may compound existing health inequities. Evidence to date indicates three priority areas that must be addressed in order to reduce these inequities in the safety and quality of care for children with intellectual disability. Firstly, we need reliable methods to identify children with intellectual disability so that healthcare organizations understand their needs. Secondly, we need to develop quality metrics that can assess care quality and unwarranted care variation for children with intellectual disability in hospital. Finally, for a comprehensive understanding of the safety and quality of care for these children, and how to improve, it is critical that healthcare organizations partner with parents/carers and enable children with intellectual disability to voice their experiences of care. Children with intellectual disability have higher healthcare utilization than their peers; yet, their voice is rarely sought to optimize the safety and quality of their healthcare experience. Patient experience narratives enhance our understanding of the genesis of adverse events. By addressing these priorities, children with intellectual disability will be identified, and health services will measure and understand the problematic and beneficial variations in care delivery and can then effectively partner with children and their parents/carers to address the inequities in care quality and create safer healthcare.

Healthcare Disparities in Outcomes of a Metropolitan Congenital Heart Surgery Center: The Effect of Clinical and Socioeconomic Factors

OBJECTIVE

The purpose of this study is to identify the impact of demographic, socioeconomic, and clinical factors on congenital heart surgery outcomes.

STUDY DESIGN

This retrospective cohort study included 234 congenital heart surgery patients from 2011 through 2015, in a racially/ethnically diverse metropolitan children's hospital. Outcomes included length of stay (LOS), age at first echocardiogram, length of mechanical ventilation, and incidence of complications.

RESULTS

Compared to others, black children underwent their first echocardiogram at a later age (median 23 versus 2 days, p = 0.014) and were more likely to be diagnosed with congenital heart disease in the emergency room (p = 0.026). Hispanic children were more likely to have major non-cardiac congenital anomalies (p = 0.045). Increased LOS during elective admissions was associated with higher surgical complexity (STAT category 4 and 5 Estimate 3.905 days, p = 0.001), compared to STAT category 1, and number of complications (Estimate = 2.306 days per complication, p < 0.001). Increased LOS in non-elective admissions was associated with the number of complex chronic conditions (Estimate = 15.446 days, p = 0.045) and the number of complications (Estimate = 11.591 days per complication, p < 0.001). However, in multivariate analysis, race and ethnicity was not associated with increased LOS or age at first echocardiogram.

CONCLUSION

In this diverse setting, race/ethnicity was not associated with increased LOS, age at first echocardiogram, length of ventilation, or complications. Surgical complexity, chronic conditions, and complications were associated with increased LOS. We discuss some interventions to reduce disparities in congenital heart surgery outcomes.

Current trends in racial, ethnic, and healthcare disparities associated with pediatric cardiac surgery outcomes

OBJECTIVE

Despite overall improvements in congenital heart disease outcomes, racial and ethnic disparities have continued. The purpose of this study is to examine the effect of race and ethnicity, as well as other risk factors on congenital heart surgery length of stay and in-hospital mortality.

DESIGN

From the 2012 Healthcare Cost and Utilization Project Kids Inpatient Database (KID), we identified 13 130 records with Risk Adjustment in Congenital Heart Surgery complexity score-eligible procedures. Multivariate logistic and linear regression modeling with survey weights, stratification and clustering was used to examine the relationships between predictor variables and length of stay as well as in-hospital mortality.

RESULTS

No significant mortality differences were found among all race and ethnicity groups across each age group. Black neonates and black infants had a longer length of stay (neonatal estimate = 8.73 days, P = .0034; infant estimate 1.10 days, P = .0253), relative to whites. Government-sponsored insurance was associated with increased odds of neonatal mortality (odds ratio = 1.51, P = .0055), increased length of stay in neonates (estimate = 4.26 days, P = .0009) and infants (estimate = 1.52 days, P = .0181), relative to private insurance. Government-sponsored insurance was associated with increased number of chronic conditions, which were also associated with increased LOS (estimate 8.39 days, P < .001 in neonates; estimate 3.60 days, P < .001 in infants; estimate 1.87 days, P < .001 children).

CONCLUSIONS

Racial/ethnic disparities in congenital heart surgical outcomes may be changing compared with previous studies using the KID database. Increased length of stay in children with government-sponsored insurance may reflect expansion of individual states government-sponsored insurance eligibility criteria for children with complex chronic medical conditions. These findings warrant cautious optimism regarding racial and ethnic disparities in congenital heart surgery outcomes.

Surgical volume, hospital quality, and hospitalization cost in congenital heart surgery in the United States

Hospital volume has been associated with improved outcomes in congenital cardiac surgery. However, the relationship between hospital volume and hospitalization cost remains unclear. This study examines the relationship between hospital surgical volume and hospitalization costs, while accounting for measures of quality, in children undergoing congenital heart surgery. A retrospective, repeated cross-sectional analysis was performed, using discharges from the 2006 and 2009 Kids' Inpatient Database. All pediatric admissions (<18 years) with a Risk Adjustment for Congenital Heart Surgery procedure and hospitalization cost/charge data were included. Multivariate, linear mixed regression models were run on hospitalization costs, with and without adjustment for indicators of quality (hospital mortality rate and complication rate). Both medium and high-volume hospitals (200-400 cases/year and >400 cases/year, respectively) were associated with lower odds of mortality but not occurrence of a complication. Hospital mortality was associated with the largest increase in hospitalization costs. High-volume hospitals (>400 cases/year) were associated with the lowest hospitalization costs per discharge ($37,775, p < 0.01) when compared to low-($43,270) and medium($41,085)-volume hospitals, prior to adjusting for quality indicators. However, when adjusting for hospital mortality rate, high-volume hospitals no longer demonstrated significant cost savings. When adjusting for hospital complication rate, high-volume hospitals continued to have the lowest hospitalization costs. High-volume hospitals are associated with a reduction in hospitalization costs that appear to be mediated through improvements in quality.

Medical errors in US pediatric inpatients with chronic conditions

OBJECTIVE

To investigate the association between chronic conditions and iatrogenic medical errors in US pediatric inpatients.

METHODS

The 2006 Kids' Inpatient Database (KID) was analyzed. Medical errors were defined by using International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes. Medical error rates per 100 hospital discharges and per 1000 inpatient days were calculated. Logistic regression models were fitted to study the association between number of chronic conditions and medical errors, controlling for patient characteristics, hospital characteristics, disease severity, and length of stay.

RESULTS

In the 2006 KID, 22.3% of pediatric inpatients had 1 chronic condition, 9.8% had 2 chronic conditions, and 12.0% had ≥ 3 chronic conditions. The overall medical error rate per 100 discharges was 3.0 (95% confidence interval [CI]: 2.8-3.3); it was 5.3 (95% CI: 4.9-5.7) in children with chronic conditions and 1.3 (95% CI: 1.2-1.3) in children without chronic conditions. The medical error rate per 1000 inpatient days was also higher in children with chronic conditions. The association between chronic conditions and medical errors remained statistically significant in logistic regression models adjusting for patient characteristics, hospital characteristics, disease severity, and length of stay. In the adjusted model, the odds ratio of medical errors for children with 1 chronic condition was 1.40 (95% CI: 1.32-1.48); for children with 2 conditions, the OR was 1.55 (95% CI: 1.45-1.66); and for children with 3 conditions, the OR was 1.66 (95% CI: 1.53-1.81).

CONCLUSIONS

The number of chronic conditions was significantly associated with iatrogenic medical errors in pediatric inpatients.

Real-time registration of adverse events in Dutch hospitalized children in general pediatric units: first experiences

The objectives of this study are to describe the number and nature of adverse events occurring in general pediatric practice, to describe factors contributing to the occurrence of these adverse events, and to report on the experience of pediatricians with reporting adverse events. It is a prospective study on 11 pediatric units in a 3-month period; adverse events were registered for all newly admitted patients. Ninety-four adverse events were registered in 88 of 5,669 patients, amounting to a 1.6 per 100 admissions rate and a 0.4 per 100 patient days rate. Ninety percent of the adverse events did not cause serious harm. Failed diagnostic procedures were most common.

CONCLUSION

Adverse event registration in general pediatric practice is a first step in assessing quality and safety of care. It yields a considerable number of adverse events. Compliance to adverse event registration in daily practice is difficult but also key to optimal monitoring of quality of care.

Impact of sample size on variation of adverse events and preventable adverse events: systematic review on epidemiology and contributing factors

OBJECTIVES

To perform a systematic review of the frequency of (preventable) adverse events (AE/PAE) and to analyse contributing factors, such as sample size, settings, type of events, terminology, methods of collecting data and characteristics of study populations.

REVIEW METHODS

Search of Medline and Embase from 1995 to 2007. Included were original papers with data on the frequency of AE or PAE, explicit definition of study population and information about methods of assessment. Results were included with percentages of patients having one or more AE/PAE. Extracted data enclosed contributing factors. Data were abstracted and analysed by two researchers independently.

RESULTS

156 studies in 152 publications met our inclusion criteria. 144/156 studies reported AE, 55 PAE (43 both). Sample sizes ranged from 60 to 8,493,876 patients (median: 1361 patients). The reported results for AE varied from 0.1% to 65.4%, and for PAE from 0.1% to 33.9%. Variation clearly decreased with increasing sample size. Estimates did not differ according to setting, type of event or terminology. In studies with fewer than 1000 patients, chart review prevailed, whereas surveys with more than 100,000 patients were based mainly on administrative data. No effect of patient characteristics was found.

CONCLUSIONS

The funnel-shaped distribution of AE and PAE rates with sample size is a probable consequence of variation and can be taken as an indirect indicator of study validity. A contributing factor may be the method of data assessment. Further research is needed to explain the results when analysing data by types of event or terminology.

Analysis of adverse events in pediatric surgery using criteria validated from the adult population: justifying the need for pediatric-focused outcome measures

INTRODUCTION

Little is known regarding the incidence and financial impact of adverse events associated with the surgical care of children. The purpose of this study was to characterize the epidemiology and resource utilization associated with these events using definitions validated from the adult population.

METHODS

We conducted a 6-year audit (Jan 2003-Dec 2008) of adverse events associated with the 100 most common general pediatric surgical procedures from the Pediatric Health Information System database. We audited 23 events as defined by the National Surgical Quality Improvement Project and modified Agency for Healthcare Research and Quality Patient Safety Indicators. Excess length of stay and total hospital charges attributable to events were determined for each procedure after adjusting for confounders.

RESULTS

Overall 30-day incidence of any adverse event was 10.3% in our sample of 331,093 patients. The most common events were transfusions (30% of all events), wound complications (15%), and events associated with central access (11%). The cumulative incidence of serious events including cardiac arrest, stroke, deep venous thrombosis and pulmonary embolish was less than 0.3%. Ten procedures accounted for 62% of all events, and all 10 were associated with significant (P < .01) increases in length of stay and total hospital charges when any event occurred. Circumcisions, soft-tissue biopsies, pyloromyotomies, and repair of abdominal wall hernias accounted for only 3% of events despite comprising nearly 25% of operative volume.

CONCLUSIONS

A relatively small number of pediatric surgical procedures contribute to a disproportionate share of adverse events. Although the National Surgical Quality Improvement Project and Agency for Healthcare Research and Quality criteria can identify pediatric procedures associated with a significant risk of morbidity, the relatively high 30-day event rates captured for some procedures may be heavily influenced by underlying co-morbidity profiles not related to the surgical disease or intervention. Furthermore, the validity of applying adult-focused "adverse" event definitions for the pediatric population should be further explored. Collaborative efforts will be needed to develop more clinically meaningful outcome measures for the purpose of quality improvement end points.

Safety and protection for hospitalized children: literature review

This narrative-descriptive review is about the safety/protection of hospitalized children who, due to their fragility, vulnerability and peculiar growth and development conditions need special attention from health professionals. This study aimed to identify knowledge production on safety, protection and violence to hospitalized children between 1997 and 2007. In total, 15 national and international articles were analyzed, using the key words: hospitalized child, safety, violence and nursing. This qualitative approach enabled the development of four categories: adverse occurrences; medication errors; notification of adverse occurrences; and safety of pediatric patients. Results indicate the need to develop strategies to reduce the probability of these events occurring during children's hospitalization, so that they do not suffer any problem neither violation of their fundamental rights.

[Methodical reflections on epidemiological methods to measure adverse medical device events]

Drugs and medical devices are common remedies in patient care. Concerning patient safety, much research has been undertaken to study medication-related events, such as adverse drug events or medication errors; however, only little is known about device-related events and patient safety. Until now, only one survey on the epidemiology of adverse medical device events has been published. Estimates amount to 8.4 adverse medical device events/100 hospitalizations. As this indicates, further research is needed on epidemiological methodology to investigate the frequency, distribution, causes and results of medical device-related events. Only profound knowledge will constitute a resilient base for the development of safety strategies which can be then implemented and evaluated. Also in the German health care system, the special challenges described for data collection have to be mastered.