Adverse Events in Hospitalized Pediatric Patients.

: media-1vid110.1542/5789657761001PEDS-VA_2017-3360Video Abstract BACKGROUND: Patient safety concerns over the past 2 decades have prompted widespread efforts to reduce adverse events (AEs). It is unclear whether these efforts have resulted in reductions in hospital-wide AE rates. We used a validated safety surveillance tool, the Global Assessment of Pediatric Patient Safety, to measure temporal trends (2007-2012) in AE rates among hospitalized children. METHODS: We conducted a retrospective surveillance study of randomly selected pediatric inpatient records from 16 teaching and nonteaching hospitals. We constructed Poisson regression models with hospital random intercepts, controlling for patient age, sex, insurance, and chronic conditions, to estimate changes in AE rates over time. RESULTS: Examining 3790 records, reviewers identified 414 AEs (19.1 AEs per 1000 patient days; 95% confidence interval [CI] 17.2-20.9) and 210 preventable AEs (9.5 AEs per 1000 patient days; 95% CI 8.2-10.8). On average, teaching hospitals had higher AE rates than nonteaching hospitals (26.2 [95% CI 23.7-29.0] vs 5.1 [95% CI 3.7-7.1] AEs per 1000 patient days, P < .001). Chronically ill children had higher AE rates than patients without chronic conditions (33.9 [95% CI 24.5-47.0] vs 14.0 [95% CI 11.8-16.5] AEs per 1000 patient days, P < .001). Multivariate analyses revealed no significant changes in AE rates over time. When stratified by hospital type, neither teaching nor nonteaching hospitals experienced significant temporal AE rate variations. CONCLUSIONS: AE rates in pediatric inpatients are high and did not improve from 2007 to 2012. Pediatric AE rates were substantially higher in teaching hospitals as well as in patients with more chronic conditions.

Potentially Preventable 30-Day Hospital Readmissions at a Children's Hospital.

BACKGROUND AND OBJECTIVES: Hospital readmission rates are increasingly used to assess quality. Little is known, however, about potential preventability of readmissions among children. Our objective was to evaluate potential preventability of 30-day readmissions using medical record review and interviews. METHODS: A cross-sectional study in 305 children (<18 years old) readmitted within 30 days to a freestanding children's hospital between December 2012 and February 2013. Interviews (N = 1459) were conducted with parents/guardians, patients (if ≥13 years old), inpatient clinicians, and primary care providers. Reviewers evaluated medical records, interview summaries, and transcripts, and then rated potential preventability. Multivariate regression analysis was used to identify factors associated with potentially preventable readmission. Adjusted event curves were generated to model days to readmission. RESULTS: Of readmissions, 29.5% were potentially preventable. Potentially preventable readmissions occurred sooner after discharge than non-potentially preventable readmissions (5 vs 9 median days; P < .001). The odds of a readmission being potentially preventable were greatest when the index admission and readmission were causally related (adjusted odds ratio [AOR]: 2.6; 95% confidence interval [CI]: 1.0-6.8) and when hospital (AOR: 16.3; 95% CI: 5.9-44.8) or patient (AOR: 7.1; 95% CI: 2.5-20.5) factors were identified. Interviews provided new information about the readmission in 31.2% of cases. CONCLUSIONS: Nearly 30% of 30-day readmissions to a children's hospital may be potentially preventable. Hospital and patient factors are associated with potential preventability and may provide targets for quality improvement efforts. Interviews contribute important information and should be considered when evaluating readmissions.

Performance of the Global Assessment of Pediatric Patient Safety (GAPPS) Tool.

BACKGROUND AND OBJECTIVE: Efforts to advance patient safety have been hampered by the lack of high quality measures of adverse events (AEs). This study's objective was to develop and test the Global Assessment of Pediatric Patient Safety (GAPPS) trigger tool, which measures hospital-wide rates of AEs and preventable AEs. METHODS: Through a literature review and expert panel process, we developed a draft trigger tool. Tool performance was tested in 16 academic and community hospitals across the United States. At each site, a primary reviewer (nurse) reviewed ∼240 randomly selected medical records; 10% of records underwent an additional primary review. Suspected AEs were subsequently evaluated by 2 secondary reviewers (physicians). Ten percent of records were also reviewed by external expert reviewers. Each trigger's incidence and positivity rates were assessed to refine GAPPS. RESULTS: In total, 3814 medical records were reviewed. Primary reviewers agreed 92% of the time on presence or absence of a suspected AE (κ = 0.69). Secondary reviewers verifying AE presence or absence agreed 92% of the time (κ = 0.81). Using expert reviews as a standard for comparison, hospital-based primary reviewers had a sensitivity and specificity of 40% and 91%, respectively. As primary reviewers gained experience, their agreement with expert reviewers improved significantly. After removing low-yield triggers, 27 and 30 (of 54) triggers met inclusion criteria to form final manual and automated trigger lists, respectively. CONCLUSIONS: GAPPS reliably identifies AEs and can be used to guide and monitor quality improvement efforts. Ongoing refinement may facilitate future interhospital comparisons.

Measuring pediatric hospital readmission rates to drive quality improvement.

The Pediatric Quality Measures Program is developing readmission measures for pediatric use. We sought to describe the importance of readmissions in children and the challenges of developing readmission quality measures. We consider findings and perspectives from research studies and commentaries in the pediatric and adult literature, characterizing arguments for and against using readmission rates as measures of pediatric quality and discussing available evidence and current knowledge gaps. The major topic of debate regarding readmission rates as pediatric quality measures is the relative influence of hospital quality versus other factors within and outside of health systems on readmission risk. The complex causation of readmissions leads to disagreement, particularly when rates are publicly reported or tied to payment, about whether readmissions can be prevented and how to achieve fair comparisons of readmission performance. Despite these controversies, the policy focus on readmissions has motivated widespread efforts by hospitals and outpatient providers to evaluate and reengineer care processes. Many adult studies demonstrate a link between successful initiatives to improve quality and reductions in readmissions. More research is needed on methods to enhance adjustment of readmission rates and on how to prevent pediatric readmissions.