Patient safety in South Africa: PICU adverse event registration*

Intensive care drug therapy and its potential adverse effects on blood pressure and heart rate in critically ill children

BACKGROUND

Owing to complex treatment, critically ill children may experience alterations in their vital parameters. We investigated whether such hemodynamic alterations were temporally and causally related to drug therapy.

METHODS

In a university pediatric intensive care unit, we retrospectively analyzed hemodynamic alterations defined as values exceeding the limits set for heart rate (HR) and blood pressure (BP). For causality assessment, we used the World Health Organization-Uppsala Monitoring Center (WHO-UMC) system, which categorizes the probability of causality as "certain," "probable," "possible," and "unlikely."

RESULTS

Of 315 analyzed patients with 43,200 drug prescriptions, 59.7% experienced at least one hemodynamic alteration; 39.0% were affected by increased HR, 19.0% by decreased HR, 18.1% by increased BP, and 16.2% by decreased BP. According to drug information databases, 83.9% of administered drugs potentially lead to hemodynamic alterations. Overall, 88.3% of the observed hemodynamic alterations had a temporal relation to the administration of drugs; in 80.2%, more than one drug was involved. Based on the WHO-UMC system, a drug was rated as a "probable" causing factor for only 1.4% of hemodynamic alterations. For the remaining alterations, the probability ratings were lower because of multiple potential causes, e.g., several drugs.

CONCLUSIONS

Critically ill children were frequently affected by hemodynamic alterations. The administration of drugs with potentially adverse effects on hemodynamic parameters is often temporally related to hemodynamic alterations. Hemodynamic alterations are often multifactorial, e.g., due to administering multiple drugs in rapid succession; thus, the influence of individual drugs cannot easily be captured with the WHO-UMC system.

Incidence and characteristics of adverse events in paediatric inpatient care: a systematic review and meta-analysis

BACKGROUND

Adverse events (AEs) cause suffering for hospitalised children, a fragile patient group where the delivery of adequate timely care is of great importance.

OBJECTIVE

To report the incidence and characteristics of AEs, in paediatric inpatient care, as detected with the Global Trigger Tool (GTT), the Trigger Tool (TT) or the Harvard Medical Practice Study (HMPS) method.

METHOD

MEDLINE, Embase, Web of Science and Google Scholar were searched from inception to June 2021, without language restrictions. Studies using manual record review were included if paediatric data were reported separately. We excluded studies reporting: AEs for a specific disease/diagnosis/treatment/procedure, or deceased patients; study protocols with no AE outcomes; conference abstracts, editorials and systematic reviews; clinical incident reports as the primary data source; and studies focusing on specific AEs only. Methodological risk of bias was assessed using a tool based on the Quality Assessment Tool for Diagnostic Accuracy Studies 2. Primary outcome was the percentage of admissions with ≥1 AEs. All statistical analyses were stratified by record review methodology (GTT/TT or HMPS) and by type of population. Meta-analyses, applying random-effects models, were carried out. The variability of the pooled estimates was characterised by 95% prediction intervals (PIs).

RESULTS

We included 32 studies from 44 publications, conducted in 15 countries totalling 33 873 paediatric admissions. The total number of AEs identified was 8577. The most common types of AEs were nosocomial infections (range, 6.8%-59.6%) for the general care population and pulmonary-related (10.5%-36.7%) for intensive care. The reported incidence rates were highly heterogeneous. The PIs for the primary outcome were 3.8%-53.8% and 6.9%-91.6% for GTT/TT studies (general and intensive care population). The equivalent PI was 0.3%-33.7% for HMPS studies (general care). The PIs for preventable AEs were 7.4%-96.2% and 4.5%-98.9% for GTT/TT studies (general and intensive care population) and 10.4%-91.8% for HMPS studies (general care). The quality assessment indicated several methodological concerns regarding the included studies.

CONCLUSION

The reported incidence of AEs is highly variable in paediatric inpatient care research, and it is not possible to estimate a reliable single rate. Poor reporting standards and methodological differences hinder the comparison of study results.

Adverse Events in Pediatric Critical Care Nonsurvivors With a Low Predicted Mortality Risk: A Multicenter Case Control Study

OBJECTIVES

Some patients with a low predicted mortality risk in the PICU die. The contribution of adverse events to mortality in this group is unknown. The aim of this study was to estimate the occurrence of adverse events in low-risk nonsurvivors (LN), compared with low-risk survivors (LS) and high-risk PICU survivors and nonsurvivors, and the contribution of adverse events to mortality.

DESIGN

Case control study. Admissions were selected from the national Dutch PICU registry, containing 53,789 PICU admissions between 2006 and 2017, in seven PICUs. PICU admissions were stratified into four groups, based on mortality risk (low/high) and outcome (death/survival). Random samples were selected from the four groups. Cases were "LN." Control groups were as follows: "LS," "high-risk nonsurvivors" (HN), and "high-risk survivors" (HS). Adverse events were identified using the validated trigger tool method.

SETTING

Patient chart review study.

PATIENTS

Children admitted to the PICU with either a low predicted mortality risk (< 1%) or high predicted mortality risk (≥ 30%).

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

In total, 419 patients were included (102 LN, 107 LS, 104 HN, and 106 HS). LN had more complex chronic conditions (93.1%) than LS (72.9%; p < 0.01), HN (49.0%; p < 0.001), and HS (48.1%; p < 0.001). The occurrence of adverse events in LN (76.5%) was higher than in LS (13.1%) and HN (47.1%) ( p < 0.001). The most frequent adverse events in LN were hospital-acquired infections and drug/fluid-related adverse events. LN suffered from more severe adverse events compared with LS and HS ( p < 0.001). In 30.4% of LN, an adverse event contributed to death. In 8.8%, this adverse event was considered preventable.

CONCLUSIONS

Significant and preventable adverse events were found in low-risk PICU nonsurvivors. 76.5% of LN had one or more adverse events. In 30.4% of LN, an adverse event contributed to mortality.

Mobilization Safety of Critically Ill Children

BACKGROUND

Children in PICUs experience negative sequelae of immobility; however, interprofessional staff concerns about safety are a barrier to early mobilization. Our objective was to determine the safety profile of early mobilization in PICU patients.

METHODS

We conducted a secondary analysis of a 2-day study focused on physical rehabilitation in 82 PICUs in 65 US hospitals. Patients who had ≥72-hour admissions and participated in a mobility event were included. The primary outcome was occurrence of a potential safety event during mobilizations.

RESULTS

On 1433 patient days, 4658 mobility events occurred with a potential safety event rate of 4% (95% confidence interval [CI], 3.6%-4.7%). Most potential safety events were transient physiologic changes. Medical equipment dislodgement was rare (0.3%), with no falls or cardiac arrests. Potential safety event rates did not differ by patient age or sex. Patients had higher potential safety event rates if they screened positive for delirium (7.8%; adjusted odds ratio, 5.86; 95% CI, 2.17-15.86) or were not screened for delirium (4.7%; adjusted odds ratio, 3.98; 95% CI, 1.82-8.72). There were no differences in potential safety event rates by PICU intervention, including respiratory support or vasoactive support.

CONCLUSIONS

Early PICU mobilization has a strong safety profile and medical equipment dislodgement is rare. No PICU interventions were associated with increased potential safety event rates. Delirium is associated with higher potential safety event rates. These findings highlight the need to improve provider education and confidence in mobilizing critically ill children.

Identification of adverse events in pediatric severe traumatic brain injury patients to target evidence-based prevention for increased performance improvement and patient safety

INTRODUCTION

Trauma centres are required to continuously measure, evaluate and improve care. Severe traumatic brain injury (sTBI) patients are highly susceptible to adverse events (AE; unintended, potentially harmful events resulting from health care) due to their unstable condition requiring high risk interventions, multiple medications and invasive monitoring. Objectives were to describe: (1) a process for identifying AE in pediatric sTBI patients to identify safety risks, target and implement evidence-based prevention strategies; and (2) a tertiary care PICU's sTBI AE experience.

METHODS

Merging databases, Trauma Registry with Adverse Events Management System, identified AE in patients. Details on the event location, type and severity of harm were combined with patient demographics, injury data, costs and outcomes in a cohort of 193 PICU sTBI patients (2000-15). Descriptive statistics and multivariate logistic regression were undertaken to describe AE, and their association with risk factors and outcomes.

RESULTS

103/193 sTBI patients (53%) suffered at least one AE. 238 AE occurred (1.23 AE/patient), with 30% of patients having 2+ AE. Most resulted in no harm (54%) with decubitus ulcers (15%) the most common AE. AE patients were more likely to be monitored for elevated ICP (p<0.001), with fewer ventilator-free days (p=0.015), longer LOS for PICU (11 vs. 3.5 days; p<0.001) and in-hospital (31 vs. 11 days; p<0.001) with higher median costs ($121,234 vs. $53,341; p=0.031). AE patients required a higher level of care on discharge (p=0.035).

CONCLUSIONS

Merging databases is an effective practice to identify AE and safety risks in trauma populations. Utilizing this method, a PICU AE rate of 1.23 events per patient was found with TBI severity the most important factor to increase the odds of AE. AE represent performance improvement events, opportunities to optimize care, decrease costs, as well as improve outcomes, to ultimately improve patient safety in this vulnerable population.

Potentially Preventable Mortality in the Pediatric Intensive Care Unit: Findings from a Retrospective Mortality Analysis

Objective

The goal of this study was to estimate the proportion and causes of potentially preventable mortality among critically ill children admitted to the pediatric intensive care unit (PICU).

Methods

The medical records of all patients who died in the PICU (age range: one month to 16 years) between January 2014 and December 2015 were evaluated by two independent reviewers to determine whether there had been any delayed recognition of deteriorating conditions, delayed interventions, unintentional/unanticipated harm, medication errors, adverse reactions to transfusions, and hospital-acquired infections that could have resulted in unanticipated death. Preventability was labeled on a 6-point scale.

Results

During the study period, 92 of 690 patients did not survive [median age: 60 months, interquartile range (IQR): 114]. The median Pediatric Risk of Mortality (PRISM) III score was 17 (IQR: 6). Major diagnostic categories included sepsis (n = 29, 35%), central nervous system diseases (n = 16, 17%), oncological/hematological diseases (n = 6, 6%), cardiac diseases (n = 4, 4%), and miscellaneous conditions. None of the deaths had definitive or strong evidence of preventability. Four (4.3%) patients were in category 4 (i.e., possibly preventable, >50/50 chance), 15 (16.3%) in category 3 (possibly preventable, <50/50 chance), 28 (30.4%) had some evidence of preventability, and 45 (49.0%) were labeled as definitely not preventable. Late identification (diagnostic error) of the worsening condition in four (21.0%) patients, slow intervention in six (31.6.0%), and hospital-acquired infections in 10 (52.6%) were found to be related to potentially preventable mortality.

Conclusions

Preventable diagnostic errors and nosocomial infections (NIs) are major contributors to preventable mortality. Structured mortality analysis provides actionable information for future preventive strategies. Improvement in care processes, including clinical decision support systems, could help reduce preventable mortality rates.

The occurrence of adverse events is associated with increased morbidity and mortality in children admitted to a single pediatric intensive care unit

Healthcare can cause harm. The goal of this study is to evaluate the association between the occurrence of adverse events (AEs) and morbidity-mortality in critically ill children. A prospective cohort study was designed. All children admitted to the Pediatric Intensive Care Unit (PICU) between August 2016 and July 2017 were followed. An AE was considered any harm associated with a healthcare-related incident. AEs were identified in two steps: first, adverse clinical incidents (ACI) were recognized through direct observation and active surveillance by PICU physicians, and then the patient safety committee evaluated every ACI to define which would be considered an AE. The outcome was hospital morbidity-mortality. There were 467 ACI registered, 249 (53.31%) were considered AEs and the rate was 4.27/100 patient days. From the 842 children included, 142 (16.86%) suffered AEs, 39 (4.63%) experienced morbidity-mortality: 33 (3.92%) died, and 6 (0.71%) had morbidity. Multivariate analysis revealed that the occurrence of AEs was significantly associated with morbidity-mortality, OR 5.70 (CI95% 2.58-12.58, p = 0.001). This association was independent of age and severity of illness score.Conclusion: Experiencing AEs significantly increased the risk of morbidity-mortality in this cohort of PICU children.What is Known:• Many children suffer healthcare-associated harm during pediatric intensive care hospitalization.What is New:• This prospective cohort study shows that experiencing adverse events during pediatric intensive care hospitalization significantly increases the risk of morbidity and mortality independent of age and severity of illness at admission.

The occurrence of adverse events in low-risk non-survivors in pediatric intensive care patients: an exploratory study

We studied the occurrence of adverse events (AEs) in low-risk non-survivors (LNs), compared to low-risk survivors (LSs), high-risk non-survivors (HNs), and high-risk survivors (HSs) in two pediatric intensive care units (PICUs). The study was performed as a retrospective patient record review study, using a PICU-trigger tool. A random sample of 48 PICU patients (0-18 years) was chosen, stratified into four subgroups of 12 patients: LNs, LSs, HNs, and HSs. Primary outcome was the occurrence of AEs. The severity, preventability, and nature of the indentified AEs were determined. In total, 45 AEs were found in 20 patients. The occurrence of AEs in the LN group was significantly higher compared to that in the LS group and HN group (AE occurrence: LN 10/12 patients, LS 1/12 patients; HN 2/12 patients; HS 7/12 patients; LN-LS difference, p < 0.001; LN-HN difference, p < 0.01). The AE rate in the LN group was significantly higher compared to that in the LS and HN groups (median [IQR]: LN 0.12 [0.07-0.29], LS 0 [0-0], HN 0 [0-0], and HS 0.03 [0.0-0.17] AE/PICU day; LN-LS difference, p < 0.001; LN-HN difference, p < 0.01). The distribution of the AEs among the four groups was as follows: 25 AEs (LN), 2 AEs (LS), 8 AEs (HN), and 10 AEs (HS). Fifteen of forty-five AEs were preventable. In 2/12 LN patients, death occurred after a preventable AE.

CONCLUSION

The occurrence of AEs in LNs was higher compared to that in LSs and HNs. Some AEs were severe and preventable and contributed to mortality. What is Known: • 59-76% of all PICU patients encounter at least one adverse event during their PICU stay. • It is unknown if adverse events play a role in death of low-risk PICU patients. What is New: • In low-risk PICU non-survivors, occurrence of adverse events is higher compared to low-risk PICU survivors and to high-risk PICU non-survivors. • Severe and preventable adverse events occur in low-risk PICU non-survivors, some contributing to mortality.

Factors Associated With Mortality in Low-Risk Pediatric Critical Care Patients in The Netherlands

OBJECTIVE

To determine differences between survivors and nonsurvivors and factors associated with mortality in pediatric intensive care patients with low risk of mortality.

DESIGN

Retrospective cohort study.

SETTING

Patients were selected from a national database including all admissions to the PICUs in The Netherlands between 2006 and 2012.

PATIENTS

Patients less than 18 years old admitted to the PICU with a predicted mortality risk lower than 1% according to either the recalibrated Pediatric Risk of Mortality or the Pediatric Index of Mortality 2 were included.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

In total, 16,874 low-risk admissions were included of which 86 patients (0.5%) died. Nonsurvivors had more unplanned admissions (74.4% vs 38.5%; p < 0.001), had more complex chronic conditions (76.7% vs 58.8%; p = 0.001), were more often mechanically ventilated (88.1% vs 34.9%; p < 0.001), and had a longer length of stay (median, 11 [interquartile range, 5-32] d vs median, 3 [interquartile range, 2-5] d; p < 0.001) when compared with survivors. Factors significantly associated with mortality were complex chronic conditions (odds ratio, 3.29; 95% CI, 1.97-5.50), unplanned admissions (odds ratio, 5.78; 95% CI, 3.40-9.81), and admissions in spring/summer (odds ratio, 1.67; 95% CI, 1.08-2.58).

CONCLUSIONS

Nonsurvivors in the PICU with a low predicted mortality risk have recognizable risk factors including complex chronic condition and unplanned admissions.

The Morbidity and Mortality Conference in Pediatric Intensive Care as a Means for Improving Patient Safety

OBJECTIVES

To present our experience in an interdisciplinary and interprofessional morbidity and mortality conference, with special emphasis on its usefulness in improving patient safety.

DESIGN

Retrospective analysis.

SETTING

Tertiary interdisciplinary neonatal PICU.

PATIENTS

Morbidity and mortality conference minutes on 48 patients (newborns to 17 yr), January 2009 to June 2014.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

The authors' PICU implemented a morbidity and mortality conference guideline in 2009 using a system-based approach to identify medical errors, their contributing factors, and possible solutions. In the subsequent 5.5 years, there were 44 mortality conferences (of 181 deaths [27%] over the same period) and four morbidity conferences. The median death/morbidity event-morbidity and mortality conference interval was 90 days (range, 7 d to 1.5 yr). The median age of patients was 4 months (range, newborn to 17 years). In six cases, the primary reason for PICU admission was a treatment complication. Unsafe processes/medical errors were identified and discussed in 37 morbidity and mortality conferences (77%). In seven cases, new autopsy findings prompted the discussion of a possible error. The 48 morbidity and mortality conferences identified 50 errors, including 30 in which an interface problem was a contributing factor. Fifty-four improvements were identified in 34 morbidity and mortality conferences. Four morbidity and mortality conferences discussed specific ethical issues.

CONCLUSIONS

From our experience, we have found that the interdisciplinary and interprofessional morbidity and mortality conference has the potential to reveal unsafe processes/medical errors, in particular, diagnostic and communication errors and interface problems. When formatted as a nonhierarchical tool inviting contributions from all staff levels, the morbidity and mortality conference plays a key role in the system approach to medical errors.