Prevalence and severity of patient harm in a sample of UK-hospitalised children detected by the Paediatric Trigger Tool

Estimating the frequency of inpatient adverse events using a two-step retrospective chart review: a study protocol

INTRODUCTION

Adverse events are a major cause of patient harm in the hospitalised setting. Low-income and middle-income countries account for a disproportionate share of the global burden of adverse events. However, patient safety research is still centred around high-income countries and high-resource health systems. The methods and data produced from these efforts are ill-suited to low-income and middle-income systems due to the social and technical differences between these settings. We aim to use our pilot-tested, locally developed methodology to estimate the frequency and characteristics of adverse events in hospitalised patients in a lower-middle-income country to inform patient safety policies and initiatives.

METHODS AND ANALYSIS

This multi-centre study will employ a two-step chart review methodology to identify adverse events in a representative sample of patients admitted at five hospitals between 1 January 2019 and 31 December 2019. The first step will include assessing patient files against a list of triggers to detect adverse events and the second step will involve an in-depth review of the events to capture pertinent characteristics. The triggers have been adapted from validated tools used in other studies. The reviewing team will be trained on the use of research tools and operational definitions to ensure that data are collected uniformly. The main outcome of interest is the rate at which adverse events occur in hospitalised patients. Further analysis will look to identify and quantify associations between the main outcome of interest and a variety of variables such as patient age and gender using tests of independence and regression techniques.

ETHICS AND DISSEMINATION

This study protocol has been approved by the Ethics Review Committee at Aga Khan University (Reference number: 2023-6324-24566). The findings of this study will be published in a peer-reviewed journal and disseminated to the public through national and international conferences, workshops, websites and social media.

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.

Global Assessment of Pediatric Patient Safety Tool for identifying safety incidents in pediatric patients

OBJECTIVE

The aim of this study was to evaluate the accuracy of the Global Assessment of Pediatric Patient Safety (GAPPS) in order to identify patient safety incidents with patient harm or adverse events (AEs).

METHODS

This is a cross-sectional, retrospective study of 240 records of hospitalized patients of both genders under 18 years of age, systematically and randomly selecting 10 charts of patients that meet the GAPPS criteria every 15 days from the 4,041 records of 2017.

RESULTS

The prevalence of AEs was 12.5%, i.e., detected in 30 out of 240 medical records. In total, 53 AEs and 63 harm were recorded, of which 53 (84.1%) were temporary and 43 AE (68.2%) were definitely or probably preventable. The presence of at least one trigger in a medical chart revealed 13 times greater chance of the occurrence of an AE, with sensitivity index of 48.5%, specificity of 100%, and accuracy of 86.5%.

CONCLUSION

GAPPS was effective in detecting patient safety incidents with harm or AE.

Development and Adjustment of an Algorithm for Identifying Drug-Related Hospital Admissions in Pediatrics

OBJECTIVE

Adverse drug events (ADEs) in the outpatient pediatric pharmacotherapy can be serious and lead to inpatient admissions. Recent research only focused on ADE identification during hospitalization. The aim of the present study was to develop an algorithm to identify drug-related hospital admissions in pediatrics.

METHODS

A systematic literature research was performed, and a pediatric trigger tool for identifying drug-related inpatient admissions was built. The initial version was tested in a sample of 292 patients admitted to a German university children's hospital. Subsequently, the tool was further improved by combining different modules as a novel approach.

RESULTS

The obtained algorithm with 39 triggers in 5 modules identified drug-related inpatient admissions at a sensitivity of 95.5% (95% confidence interval [CI], 89.3%-100%) and a specificity of 16.5% (95% CI, 11.9%-21.2%), respectively. After modifications including trigger activation requiring a combination of different modules, specificity increased to 56.9% (95% CI, 50.7%-63.0%). Identifying 36 of 44 ADEs leading to admission, sensitivity remained high (81.8% [95% CI, 70.4%-93.2%]). The overall positive predictive value was 25.2% (95% CI, 18.1%-32.3%).

CONCLUSIONS

The algorithm is the first trigger tool to identify ambulant acquired ADEs leading to hospital admission in pediatrics. However, the underlying patient sample is small.Using a larger population for refinement will allow further specifications and reduction in the total amount of triggers and thus signals.

Neonatal Adverse Events' Trigger Tool Setup With Random Forest

OBJECTIVE

This study aimed to develop a trigger tool for detection of neonatal adverse events (AEs) and to validate its effectiveness.

STUDY DESIGN

Random forest (RF) algorithm was used to build the predictive model by analyzing data from the medical records of 782 neonates in our previous study. Thirteen variables for each patient were used to predict neonatal AEs. Next, the critical variables were selected based on recursive elimination of variables to form the list of triggers. Then, a trigger tool with those triggers was established and tested by reviewing medical records. The positive predictive value of individual triggers and of the entire tool was evaluated.

RESULTS

Data from 782 neonates, including 297 patients with and 485 patients without AEs, were collected to build the original RF model. Then, the 6 most important variables, including diarrhea, antibiotic use, fever, death, skin damage, and suspected necrotizing enterocolitis, were selected to establish a neonate-focused trigger tool. The forest with the 6 variables predicted AEs with a sensitivity of 70.7%, a specificity of 92.0%, and an error rate of 16.1%. In a validation study of the trigger tool, 655 neonates with birth weights ≥1500 g were enrolled, and review of their medical records revealed 1709 triggers and 1172 unique AEs. The 3 most common AEs identified were skin damage, iatrogenic diarrhea, and environmental factor-related fever. The total positive predictive value of the trigger tool was 0.686.

CONCLUSIONS

The neonate-focused trigger tool developed using the RF algorithm efficiently and reliably identifies AEs among hospitalized neonates with birth weights ≥1500 g.

Validation of an electronic trigger to measure missed diagnosis of stroke in emergency departments

OBJECTIVE

Diagnostic errors are major contributors to preventable patient harm. We validated the use of an electronic health record (EHR)-based trigger (e-trigger) to measure missed opportunities in stroke diagnosis in emergency departments (EDs).

METHODS

Using two frameworks, the Safer Dx Trigger Tools Framework and the Symptom-disease Pair Analysis of Diagnostic Error Framework, we applied a symptom-disease pair-based e-trigger to identify patients hospitalized for stroke who, in the preceding 30 days, were discharged from the ED with benign headache or dizziness diagnoses. The algorithm was applied to Veteran Affairs National Corporate Data Warehouse on patients seen between 1/1/2016 and 12/31/2017. Trained reviewers evaluated medical records for presence/absence of missed opportunities in stroke diagnosis and stroke-related red-flags, risk factors, neurological examination, and clinical interventions. Reviewers also estimated quality of clinical documentation at the index ED visit.

RESULTS

We applied the e-trigger to 7,752,326 unique patients and identified 46,931 stroke-related admissions, of which 398 records were flagged as trigger-positive and reviewed. Of these, 124 had missed opportunities (positive predictive value for "missed" = 31.2%), 93 (23.4%) had no missed opportunity (non-missed), 162 (40.7%) were miscoded, and 19 (4.7%) were inconclusive. Reviewer agreement was high (87.3%, Cohen's kappa = 0.81). Compared to the non-missed group, the missed group had more stroke risk factors (mean 3.2 vs 2.6), red flags (mean 0.5 vs 0.2), and a higher rate of inadequate documentation (66.9% vs 28.0%).

CONCLUSION

In a large national EHR repository, a symptom-disease pair-based e-trigger identified missed diagnoses of stroke with a modest positive predictive value, underscoring the need for chart review validation procedures to identify diagnostic errors in large data sets.

Adverse Events Detection Through Global Trigger Tool Methodology: Results From a 5-Year Study in an Italian Hospital and Opportunities to Improve Interrater Reliability

OBJECTIVE

Global Trigger Tool (GTT) has been proposed as a low-cost method to detect adverse events (AEs). The validity of the methodology has been questioned because of moderate interrater agreement. Continuous training has been suggested as a means to improve consistency over time. We present the main findings of the implementation of the Italian version of the GTT and evaluate efforts to improve the interrater reliability over time.

METHODS

The Italian version of the GTT was developed and implemented at the San Bonifacio Hospital, a 270-bed secondary care acute hospital in Verona, Italy. Ten clinical records randomly selected every 2 weeks were reviewed from 2009 to 2014. Two-stage interrater reliability assessment between team members was conducted on 2 subsamples of 50 clinical records before and after the implementation of specific review rules and staff training.

RESULTS

Among 1320 medical records reviewed, a total of 366 AEs were found with at least 1 AE on 20.2% of all discharges, 27.7 AEs/100 admissions, and 30.6 AEs/1000 patient-days. Adverse events with harm score E and F were respectively 58.2% (n = 213) and 38.8% (n = 142). First round interrater reliability was comparable with other international studies. The interrater agreement improved significantly after intervention (κ interrater I = 0.52, κ interrater II = 0.80, P < 0.001).

CONCLUSIONS

Despite the improvements in the interrater consistency, overall results did not show any significant trend in AEs over time. Future studies may be directed to apply and adapt the GTT methodology to more specific settings to explore how to improve its sensitivity.

Predicting Adverse Drug Events in Chinese Pediatric Inpatients With the Associated Risk Factors: A Machine Learning Study

The aim of this study was to apply machine learning methods to deeply explore the risk factors associated with adverse drug events (ADEs) and predict the occurrence of ADEs in Chinese pediatric inpatients. Data of 1,746 patients aged between 28 days and 18 years (mean age = 3.84 years) were included in the study from January 1, 2013, to December 31, 2015, in the Children’s Hospital of Chongqing Medical University. There were 247 cases of ADE occurrence, of which the most common drugs inducing ADEs were antibacterials. Seven algorithms, including eXtreme Gradient Boosting (XGBoost), CatBoost, AdaBoost, LightGBM, Random Forest (RF), Gradient Boosting Decision Tree (GBDT), and TPOT, were used to select the important risk factors, and GBDT was chosen to establish the prediction model with the best predicting abilities (precision = 44%, recall = 25%, F1 = 31.88%). The GBDT model has better performance than Global Trigger Tools (GTTs) for ADE prediction (precision 44 vs. 13.3%). In addition, multiple risk factors were identified via GBDT, such as the number of trigger true (TT) (+), number of doses, BMI, number of drugs, number of admission, height, length of hospital stay, weight, age, and number of diagnoses. The influencing directions of the risk factors on ADEs were displayed through Shapley Additive exPlanations (SHAP). This study provides a novel method to accurately predict adverse drug events in Chinese pediatric inpatients with the associated risk factors, which may be applicable in clinical practice in the future.

Characterising the types of paediatric adverse events detected by the global trigger tool – CareTrack Kids

Introduction

A common method of learning about adverse events (AEs) is by reviewing medical records using the global trigger tool (GTT). However, these studies generally report rates of harm. The aim of this study is to characterise paediatric AEs detected by the GTT using descriptive and qualitative approaches.

Methods

Medical records of children aged 0–15 were reviewed for presence of harm using the GTT. Records from 2012–2013 were sampled from hospital inpatients, emergency departments, general practice and specialist paediatric practices in three Australian states. Nurses undertook a review of each record and if an AE was suspected a doctor performed a verification review of a summary created by the nurse. A qualitative content analysis was undertaken on the summary of verified AEs.

Results

A total of 232 AEs were detected from 6,689 records reviewed. Over four-fifths of the AEs (193/232, 83%) resulted in minor harm to the patient. Nearly half (112/232, 48%) related to medication/intravenous (IV) fluids. Of these, 83% (93/112) were adverse drug reactions. Problems with medical devices/equipment were the next most frequent with nearly two-thirds (32/51, 63%) of these related to intravenous devices. Problems associated with clinical processes/procedures comprise one in six AEs (38/232, 16%), of which diagnostic problems (12/38, 32%) and procedural complications (11/38, 29%) were the most frequent.

Conclusion

Adverse drug reactions and issues with IVs are frequently identified AEs reflecting their common use in paediatrics. The qualitative approach taken in this study allowed AE types to be characterised, which is a prerequisite for developing and prioritising improvements in practice.

Establishment of a pediatric trigger tool based on Global Trigger Tool to identify adverse drug events of children: experience in a Chinese hospital

Background

The Global Trigger Tool (GTT),which is a method using “triggers” to review medical record retrospectively to identify possible adverse events. Several studies showed that the GTT was effective. However, there were only a few localized trigger tools that had been established to detect pediatric adverse drug events (ADEs) in China. This study aimed to establish a pediatric trigger tool based on GTT, to examine the performance by detecting pediatric inpatients ADEs in a Chinese hospital (a retrospective review), and to investigate the factors associating with the occurrence of ADEs.

Methods

The triggers were established by three steps including literature search, triggers extraction and revision, and experts investigation. A retrospective cohort study was conducted to detect ADEs by using 200 pediatric inpatient records of Sichuan Provincial People’s Hospital.

Results

Thirty-three preliminary triggers were established, and 2 rounds of experts investigation were conducted. Finally, 33 triggers were established. In the retrospective review, the positive trigger rate was 64.0%, while the positive predictive value (PPV) was 24.9%. The occurrence of inpatients with ADEs was 20.5%. ADEs/100 admissions were 49.0. ADEs/1000 patient days were 46.89. The most common ADE categories were leukocyte disorders, skin disorders and platelet disorders. The severity of 39 ADEs was grade 1, 55 ADEs was grade 2, 4 ADEs was grade 3. The highest frequency of ADE-related drugs was antineoplastic, followed by antibacterial. The length of stay and the leukemia in the diagnosed diseases were positively correlated with ADEs.

Conclusions

The 33 pediatric triggers may detect ADEs effectively, but still need to be optimized. This study may provide some references for further research in order to improve the rationality and safety of medication.

Health and social care-associated harm amongst vulnerable children in primary care: mixed methods analysis of national safety reports

PURPOSE

Patient safety failures are recognised as a global threat to public health, yet remain a leading cause of death internationally. Vulnerable children are inversely more in need of high-quality primary health and social-care but little is known about the quality of care received. Using national patient safety data, this study aimed to characterise primary care-related safety incidents among vulnerable children.

METHODS

This was a cross-sectional mixed methods study of a national database of patient safety incident reports occurring in primary care settings. Free-text incident reports were coded to describe incident types, contributory factors, harm severity and incident outcomes. Subsequent thematic analyses of a purposive sample of reports was undertaken to understand factors underpinning problem areas.

RESULTS

Of 1183 reports identified, 572 (48%) described harm to vulnerable children. Sociodemographic analysis showed that included children had child protection-related (517, 44%); social (353, 30%); psychological (189, 16%) or physical (124, 11%) vulnerabilities. Priority safety issues included: poor recognition of needs and subsequent provision of adequate care; insufficient provider access to accurate information about vulnerable children, and delayed referrals between providers.

CONCLUSION

This is the first national study using incident report data to explore unsafe care amongst vulnerable children. Several system failures affecting vulnerable children are highlighted, many of which pose internationally recognised challenges to providers aiming to deliver safe care to this at-risk cohort. We encourage healthcare organisations globally to build on our findings and explore the safety and reliability of their healthcare systems, in order to sustainably mitigate harm to vulnerable children.

Development of a trigger tool for the detection of adverse drug events in Chinese geriatric inpatients using the Delphi method

Background The global trigger tool is a method of retrospective medical record review that identifies possible harm in hospitalized patients using "triggers". Elderly patients with multiple co-morbid illnesses are especially vulnerable to adverse drug events (ADEs) that have high prevalence rates. Objective The purpose of this study was to develop an appropriate trigger tool to detect ADEs in Chinese geriatric inpatients by combining a literature review with the Delphi method. Setting Chinese geriatric inpatients. Methods Two steps were used to develop the trigger tool. First, we conducted a comprehensive literature review for existing ADE triggers (adult or elderly) to form the initial triggers for the Delphi process. Second, a group of clinical experts, including physicians, clinical pharmacists and nurses, was established to score candidate triggers for utility according to the usefulness and feasibility of implementing triggers in clinical practice. Main outcome measures The frequency of the full mark, arithmetic mean and coefficient of variation of each trigger. Results An initial set of 51 triggers was selected by literature review for evaluation. The group of experts was composed of 18 clinical experts: 13 physicians, 4 clinical pharmacists, and 1 nurse. Based on the two-phase Delphi process, 42 triggers in five categories (laboratory index, plasma concentration, antidotes, clinical symptoms and intervention) were retained. Conclusion The 42-trigger tool was developed to identify ADEs in Chinese geriatric inpatients. A pilot study that tests the list of triggers to identify ADEs in Chinese geriatric inpatients is the next step for establishing a specific trigger tool for Chinese geriatric inpatients.

The Brazilian Portuguese version of the Pediatric Trigger Toolkit is applicable to measure the occurrence of adverse drug events in Brazilian pediatric inpatients

OBJECTIVE

To describe the process of translation, adaptation, and validation of the Brazilian Portuguese version of the Pediatric Trigger Toolkit: Measuring Adverse Drug Events in the Children's Hospital.

METHODS

The validation process for the research instrument was carried out in five steps: (I) translation from English into Brazilian Portuguese by two independent translators; (II) synthesis of the translated versions; (III) adaptation of the triggers to the Brazilian context using a modified Delphi method carried out in two rounds; (IV) application of the research instrument in the review of 240 hospitalizations during 2014; and (V) back-translation from Brazilian Portuguese to English.

RESULTS

The translation step resulted in two versions, which were then synthesized to obtain equivalence within the Brazilian cultural context. The process of adapting the research instrument allowed the inclusion and adaptation of some triggers, as well as the exclusion of others, based on the consensus reached among experts during the Delphi step. The positive predictive value of the research instrument was 13.51%, and the antihistamine trigger presented the highest positive predictive value.

CONCLUSION

The research instrument can be used to track the occurrence of adverse drug events in pediatric patients in Brazilian hospitals. Despite the adjustments made, triggers that were not identified or that had low positive predictive value can suggest the need for additional changes. However, more studies are needed before modifying or removing a trigger.

Adverse drug events in Chinese pediatric inpatients and associated risk factors: a retrospective review using the Global Trigger Tool

Understanding the epidemiology and risk factors of adverse drug events (ADEs) in pediatric inpatient is essential if we are to prevent, reduce or ameliorate the harm experienced. The Global Trigger Tool (GTT) is a method of retrospective medical record review that measures harm in hospitalized children. We employed a three-stage retrospective chart review of random samples of 1800 pediatric inpatients discharged from January 2013 to December 2015. 31 kinds of pediatric-specific triggers were made based on the previous trigger tool studies developed for use in adult or pediatric. Positive predictive value (PPV) of individual triggers, as well as ADEs detection rates were calculated. Stepwise logistic regression was performed to investigate risk factors associated with ADEs. Of 1746 patients, detected in 221 patients (12.7%) with 247 ADEs. The PPV of the trigger tool was 13.3%. Of the 247 ADEs, 82.6% were identified as category E, 11.7% category F and 5.7% category H. The pediatric-focused trigger tool is a feasible and useful tool for detecting pediatric ADEs. Especially for patients who have had more drugs, more doses or more admissions which needs to be closely monitored as triggers to improve the safety.

Patient safety vulnerabilities for children with intellectual disability in hospital: a systematic review and narrative synthesis

PURPOSE

Adults and children with intellectual disability (ID) are vulnerable to preventable morbidity and mortality due to poor quality healthcare. While poor quality care has been commonly identified among children with ID, evidence of the patient safety outcomes for this group is lacking and therefore explored in this review.

DATA SOURCES

Systematic searches of six electronic bibliographic research databases were undertaken from January 2000 to October 2017, in addition to hand searching.

STUDY SELECTION

Keywords, subject headings and MeSH terms relating to the experience of iatrogenic harm during hospitalisation for children with ID were used. Potentially relevant articles were screened against the eligibility criteria. Non-English language papers were excluded.

DATA EXTRACTION

Data regarding: author(s), publication year, country, sample, health service setting, study design, primary focus and main findings related to measures of quality and safety performance were extracted.

RESULTS OF DATA SYNTHESIS

Sixteen studies met the inclusion criteria, with three themes emerging: the impact of the assumptions of healthcare workers (HCWs) about the child with ID on care quality and associated safety outcomes; reliance on parental presence during hospitalisation as a protective factor; and the need for HCWs to possess comprehensive understanding of the IDs experienced by children in their care, to scientifically deduce how hospitalisation may compromise their safety, care quality and treatment outcomes.

CONCLUSION

When HCWs understand and are responsive to children's individual needs and their ID, they are better placed to adjust care delivery processes to improve care quality and safety during hospitalisation for children with ID.

The application of the Global Trigger Tool: a systematic review

Purpose

This study describes the use of, and modifications and additions made to, the Global Trigger Tool (GTT) since its first release in 2003, and summarizes its findings with respect to counting and characterizing adverse events (AEs).

Data sources

Peer-reviewed literature up to 31st December 2014.

Study selection

A systematic review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement.

Data extraction

Two authors extracted and compiled the demographics, methodologies and results of the selected studies.

Results of data synthesis

Of the 48 studies meeting the eligibility criteria, 44 collected data from inpatient medical records and four from general practice records. Studies were undertaken in 16 countries. Over half did not follow the standard GTT protocol regarding the number of reviewers used. 'Acts of omission' were included in one quarter of studies. Incident reporting detected between 2% and 8% of AEs that were detected with the GTT. Rates of AEs varied in general inpatient studies between 7% and 40%. Infections, problems with surgical procedures and medication were the most common incident types.

Conclusion

The GTT is a flexible tool used in a range of settings with varied applications. Substantial differences in AE rates were evident across studies, most likely associated with methodological differences and disparate reviewer interpretations. AE rates should not be compared between institutions or studies. Recommendations include adding 'omission' AEs, using preventability scores for priority setting, and re-framing the GTT's purpose to understand and characterize AEs rather than just counting them.

Patient Safety Incidents Involving Sick Children in Primary Care in England and Wales: A Mixed Methods Analysis

BACKGROUND

The UK performs poorly relative to other economically developed countries on numerous indicators of care quality for children. The contribution of iatrogenic harm to these outcomes is unclear. As primary care is the first point of healthcare contact for most children, we sought to investigate the safety of care provided to children in this setting.

METHODS AND FINDINGS

We undertook a mixed methods investigation of reports of primary care patient safety incidents involving sick children from England and Wales' National Reporting and Learning System between 1 January 2005 and 1 December 2013. Two reviewers independently selected relevant incident reports meeting prespecified criteria, and then descriptively analyzed these reports to identify the most frequent and harmful incident types. This was followed by an in-depth thematic analysis of a purposive sample of reports to understand the reasons underpinning incidents. Key candidate areas for strengthening primary care provision and reducing the risks of systems failures were then identified through multidisciplinary discussions. Of 2,191 safety incidents identified from 2,178 reports, 30% (n = 658) were harmful, including 12 deaths and 41 cases of severe harm. The children involved in these incidents had respiratory conditions (n = 387; 18%), injuries (n = 289; 13%), nonspecific signs and symptoms, e.g., fever (n = 281; 13%), and gastrointestinal or genitourinary conditions (n = 268; 12%), among others. Priority areas for improvement included safer systems for medication provision in community pharmacies; triage processes to enable effective and timely assessment, diagnosis, and referral of acutely sick children attending out-of-hours services; and enhanced communication for robust safety netting between professionals and parents. The main limitations of this study result from underreporting of safety incidents and variable data quality. Our findings therefore require further exploration in longitudinal studies utilizing case review methods.

CONCLUSIONS

This study highlights opportunities to reduce iatrogenic harm and avoidable child deaths. Globally, healthcare systems with primary-care-led models of delivery must now examine their existing practices to determine the prevalence and burden of these priority safety issues, and utilize improvement methods to achieve sustainable improvements in care quality.

Developing person-centred analysis of harm in a paediatric hospital: a quality improvement report

The provision of safe care is complex and difficult to achieve. Awareness of what happens in real time is one of the ways to develop a safe system within a culture of safety. At Great Ormond Street Hospital, we developed and tested a tool specifically designed for patients and families to report harm, with the aim of raising awareness and opportunities for staff to continually improve and provide safe care. Over a 10-month period, we developed processes to report harm. We used the Model for Improvement and multiple Plan, Do, Study, Act cycles for testing. We measured changes using culture surveys as well as analysis of the reports. The tool was tested in different formats and moved from a provider centric to a person-centred tool analysed in real time. An independent person working with the families was best placed to support reporting. Immediate feedback to families was managed by senior staff, and provided the opportunity for clarification, transparency and apologies. Feedback to staff provided learning opportunities. Improvements in culture climate and staff reporting were noted in the short term. The integration of patient involvement in safety monitoring systems is essential to achieve safety. The high number of newly identified 'near-misses' and 'critical incidents' by families demonstrated an underestimation of potentially harmful events. This testing and introduction of a self-reporting, real-time bedside tool has led to active engagement with families and patients and raised situation awareness. We believe that this will lead to improved and safer care in the longer term.

CareTrack Kids-part 3. Adverse events in children's healthcare in Australia: study protocol for a retrospective medical record review

INTRODUCTION

A high-quality health system should deliver care that is free from harm. Few large-scale studies of adverse events have been undertaken in children's healthcare internationally, and none in Australia. The aim of this study is to measure the frequency and types of adverse events encountered in Australian paediatric care in a range of healthcare settings.

METHODS AND ANALYSIS

A form of retrospective medical record review, the Institute of Healthcare Improvement's Global Trigger Tool, will be modified to collect data. Records of children aged <16 years managed during 2012 and 2013 will be reviewed. We aim to review 6000-8000 records from a sample of healthcare practices (hospitals, general practices and specialists).

ETHICS AND DISSEMINATION

Human Research Ethics Committee approvals have been received from the Sydney Children's Hospital Network, Children's Health Queensland Hospital and Health Service, and the Women's and Children's Hospital Network in South Australia. An application is under review with the Royal Australian College of General Practitioners. The authors will submit the results of the study to relevant journals and undertake national and international oral presentations to researchers, clinicians and policymakers.

Validation of triggers and development of a pediatric trigger tool to identify adverse events

BACKGROUND

Little is known about adverse events (AEs) in pediatric patients. Record review is a common methodology for identifying AEs, but in pediatrics the record review tools generally have limited focus. The aim of the present study was to develop a broadly applicable record review tool to identify AEs in pediatric inpatients.

METHODS

Using a broad literature review and expert opinion with a modified Delphi process, a pediatric trigger tool with 88 triggers, definitions, and descriptions including AE preventability decision support was developed and tested in a random sample of 600 hospitalized pediatric patients admitted in 2010 to a single university children's hospital. Four registered nurse-physician teams performed complete two-stage retrospective reviews of 150 records each from either neonatal, surgical/orthopedic, medicine, or emergency medicine units.

RESULTS

Registered nurse review identified 296 of 600 records with triggers indicating potential AEs. Records (n = 121) with only false positive triggers not indicating any potential AEs were not forwarded to the next review stage. On subsequent physician review, 204 (34.0%) of patients were found to have had 563 AEs, range 1-27 AEs/patient. A total of 442 preventable AEs were found in 161 patients (26.8%), range 1-22. Overall, triggers were found 3,598 times in 417 (69.5%) records, with a mean of 6 (median 1, range 0-176) triggers per patient. The overall positive predictive value of the triggers was 22.9%, (range 0.0-100.0%). The final pediatric trigger tool, developed with a second Delphi round, required 29 triggers.

CONCLUSIONS

AEs are common in pediatric patients and most are preventable. The main contributions of this study are to further develop and adapt trigger definitions, including AE preventability decision support, to introduce new triggers in pediatric care, as well as to apply pediatric triggers in different clinical specialties. Our findings resulted in a national pediatric trigger tool, and might also be adapted internationally. The pediatric trigger tool can help healthcare organizations to measure and analyze the AEs occurring in hospitalized children in order to improve patient safety.