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Objective: Conventional total knee arthroplasty (TKA) rehabilitation has little impact on sedentary lifestyles that have negative long-term health consequences. The purpose of this trial was to determine the effect of telehealth-based physical activity behavior change intervention on physical activity and functional outcomes following TKA., Methods: This study was a 2-arm, parallel randomized controlled superiority trial at a regional Veterans Affairs medical center. The participants were 92 US military veterans (mean age = 65.7 [SD =7.8] y) undergoing unilateral TKA. The Physical Activity Behavior Change (PABC) intervention included telehealth-based self-management training (10 30-minute sessions) delivered over 12 weeks. The control intervention included telehealth-based health education sessions that matched PABC frequency and duration. Both groups participated in standardized conventional outpatient rehabilitation. Physical activity, measured as average daily step count, was the primary outcome. Secondary outcomes were Life-Space Assessment questionnaire, 30-Second Chair-Stand test, Timed "Up & Go" Test, 6-Minute Walk Test, Western Ontario and McMaster Universities Osteoarthritis Index, and Veterans RAND 12-Item Health Survey. The Self Efficacy for Exercise scale and daily time spent in different postures (sitting/lying, standing, stepping) were exploratory variables. Outcomes were measured at baseline (before surgery), mid-intervention (8 weeks after surgery), after the intervention (14 weeks after surgery; primary endpoint), and follow-up (38 weeks after surgery)., Results: The PABC group had an estimated 931 (95% CI = 42-1819) more daily steps than the control group from baseline to 14 weeks, though a between-group effect was not sustained at 38 weeks. There were no group differences in secondary outcomes. Participants included only military veterans using Veterans Health Administration services. The intervention targeted self-management and did not include peer support., Conclusion: The PABC intervention improved physical activity for veterans recovering from unilateral TKA at 14 weeks after surgery, though the effect was not sustained at 38 weeks. Physical function improved with rehabilitation but was not different between groups, indicating that physical function was not a primary driver of physical activity behavior., Impact: Conventional TKA rehabilitation has a negligible effect on free-living physical activity, which is relevant to long-term health outcomes. This trial identified telehealth physical activity self-management as effective in addressing activity behaviors, separate from conventional rehabilitation strategies., (© The Author(s) 2024. Published by Oxford University Press on behalf of the American Physical Therapy Association. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Background: Meropenem, a β-lactam antibiotic commonly prescribed for severe infections, poses dosing challenges in critically ill patients due to highly variable pharmacokinetics., Objectives: We sought to develop a population pharmacokinetic model of meropenem for critically ill paediatric and young adult patients., Patients and Methods: Paediatric intensive care unit patients receiving meropenem 20-40 mg/kg every 8 h as a 30 min infusion were prospectively followed for clinical data collection and scavenged opportunistic plasma sampling. Nonlinear mixed effects modelling was conducted using Monolix®. Monte Carlo simulations were performed to provide dosing recommendations against susceptible pathogens (MIC ≤ 2 mg/L)., Results: Data from 48 patients, aged 1 month to 30 years, with 296 samples, were described using a two-compartment model with first-order elimination. Allometric body weight scaling accounted for body size differences. Creatinine clearance and percentage of fluid balance were identified as covariates on clearance and central volume of distribution, respectively. A maturation function for renal clearance was included. Monte Carlo simulations suggested that for a target of 40% fT > MIC, the most effective dosing regimen is 20 mg/kg every 8 h with a 3 h infusion. If higher PD targets are considered, only continuous infusion regimens ensure target attainment against susceptible pathogens, ranging from 60 mg/kg/day to 120 mg/kg/day., Conclusions: We successfully developed a population pharmacokinetic model of meropenem using real-world data from critically ill paediatric and young adult patients with an opportunistic sampling strategy and provided dosing recommendations based on the patients' renal function and fluid status., (© The Author(s) 2024. Published by Oxford University Press on behalf of British Society for Antimicrobial Chemotherapy. All rights reserved. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact journals.permissions@oup.com.)

Objectives: We sought to create a computational pipeline for attaching geomarkers, contextual or geographic measures that influence or predict health, to electronic health records at scale, including developing a tool for matching addresses to parcels to assess the impact of housing characteristics on pediatric health., Materials and Methods: We created a geomarker pipeline to link residential addresses from hospital admissions at Cincinnati Children's Hospital Medical Center (CCHMC) between July 2016 and June 2022 to place-based data. Linkage methods included by date of admission, geocoding to census tract, street range geocoding, and probabilistic address matching. We assessed 4 methods for probabilistic address matching., Results: We characterized 124 244 hospitalizations experienced by 69 842 children admitted to CCHMC. Of the 55 684 hospitalizations with residential addresses in Hamilton County, Ohio, all were matched to 7 temporal geomarkers, 97% were matched to 79 census tract-level geomarkers and 13 point-level geomarkers, and 75% were matched to 16 parcel-level geomarkers. Parcel-level geomarkers were linked using our exact address matching tool developed using the best-performing linkage method., Discussion: Our multimodal geomarker pipeline provides a reproducible framework for attaching place-based data to health data while maintaining data privacy. This framework can be applied to other populations and in other regions. We also created a tool for address matching that democratizes parcel-level data to advance precision population health efforts., Conclusion: We created an open framework for multimodal geomarker assessment by harmonizing and linking a set of over 100 geomarkers to hospitalization data, enabling assessment of links between geomarkers and hospital admissions., (© The Author(s) 2024. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Objective: The aim of this study was to understand therapist-identified factors influencing clinical adoption of a telehealth walking self-management intervention for individuals with lower limb amputation., Methods: Semi-structured focus groups were completed with actively practicing physical and occupational therapists treating populations that are medically complex. A qualitative explorative design was employed with conventional content analysis and iterative independent parallel coding using 2 analysts. Themes and subthemes were generated with a consensus building process identifying patterns and collapsing codes to represent participant perspectives., Results: Thematic saturation was met after 5 focus groups (24 therapists). Therapists were on average 34 years old and predominantly female (n = 19; 79%) physical therapists (n = 17; 71%). Three primary facilitator and barrier themes were identified for intervention adoption: system, therapist, and person. System considerations included telehealth support and interprofessional care coordination. Therapist facilitators included self-management programming that overlapped with standard of care and personalization methods. However, limited behavioral theory training was a therapist level barrier. Finally, person factors such as patient activation could influence both positively and negatively. Person facilitators included social support and barriers included the complex health condition., Conclusion: System, therapist, and person facilitators and barriers must be considered to maximize the adoption of similar telehealth walking self-management interventions and prior to larger scale implementation of the current intervention for individuals with lower limb amputation., Impact: A telehealth walking self-management intervention has potential impact for individuals with lower limb amputation and must be considered in terms of optimizing system, therapist, and person level facilitators and barriers to implementation., (© The Author(s) 2023. Published by Oxford University Press on behalf of the American Physical Therapy Association. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Background: Factors surrounding vaccine uptake are complex. Although anxiety, which could influence vaccination decisions, has been associated with adverse childhood experiences (ACEs), little is known about links between caregiver ACEs and pediatric vaccine uptake. We evaluated associations between caregivers' ACEs and decisions to vaccinate their children with influenza and coronavirus disease (COVID-19) vaccines., Methods: A cross-sectional study of caregivers of patients ≥6 months at one pediatric primary care center (PPCC) was performed. Caregivers completed a 19-question survey examining caregiver ACEs, influenza vaccine acceptance and beliefs, and intention to vaccinate their child with the COVID-19 vaccine. Demographic characteristics, social risks (eg, housing and food insecurity), and vaccination data for children present with each caregiver were extracted from the electronic health record (EHR). Statistical analyses included χ2 tests for categorical variables and t-tests for continuous variables., Results: A total of 240 caregivers participated, representing 283 children (mean age of 5.9 years, 47% male). Twenty-four percent (n = 58) had high ACEs (≥4). Of those with high ACEs, 55% accepted pediatric influenza vaccination compared with 38% with low ACEs (P = .02). Those with high ACEs had more positive attitudes toward influenza vaccine safety and efficacy (P ≤ .02). Those with high, compared with low, ACEs were also more likely to accept COVID-19 vaccination (38% vs 24%; P = .04)., Conclusions: Pediatric influenza vaccination rates and intention to vaccinate children against COVID-19 differed between caregivers with high and low ACEs: those with more ACEs were more likely to vaccinate. Further studies assessing the role of caregiver ACEs on vaccine decision-making are warranted., (© The Author(s) 2023. Published by Oxford University Press on behalf of The Journal of the Pediatric Infectious Diseases Society. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Background: Little is known about surgical site infection (SSI) risk among pediatric patients with reported beta-lactam allergy (BLA)., Methods: We performed a retrospective cohort study at a quaternary children's hospital and compared procedures in patients ages 1-19 years old with and without BLA that required antimicrobial prophylaxis (AMP) during 2010-2017. Procedures were matched 1:1 by patient age, complex chronic conditions, year of surgery, and National Surgical Quality Improvement Program current procedural terminology category. The primary outcome was SSI as defined by National Healthcare Safety Network. The secondary outcome was AMP protocol compliance as per American Society of Health-System Pharmacists., Results: Of the 11 878 procedures identified, 1021 (9%) had a reported BLA. There were 35 (1.8%) SSIs in the matched cohort of 1944 procedures with no significant difference in SSI rates in BLA procedures (1.8%) compared to no-BLA (1.9%) procedures. Tier 3 AMP was chosen more frequently among BLA procedures (P < .01). Unmatched analysis of all procedures showed that 23.7% of BLA procedures received beta-lactam-AMP (vs. 93.7% of procedures without BLA). There were no major differences in SSI on sensitivity analysis of BLA procedures that did not receive beta-lactam AMP (1.4%) compared to no-BLA procedures with beta-lactam AMP (1.6%)., Conclusions: Our retrospective matched analysis of 1944 pediatric procedures found no increase in SSIs in procedures with reported BLA, which differs from studies in adults. We observed that the choice of beta-lactam-AMP was common, even in BLA procedures. More data are needed to delineate an association between non-beta-lactam AMP and SSI in children., (© The Author(s) 2023. Published by Oxford University Press on behalf of The Journal of the Pediatric Infectious Diseases Society. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Background: The Pediatric Acute Care Cardiology Collaborative (PAC3) is a learning network focused on improving acute care cardiology patient outcomes. Data submission timeliness is a vulnerability for PAC3 and most clinical registries, directly affecting collaborative benchmarking, quality improvement (QI) and research projects., Objective: PAC3 conducted a collaborative-wide QI project addressing data timeliness and efficiency. Data analysis of submitted cases from September 2019 to February 2020 revealed nine 'High Performer' centers who submitted cases within 67 days of hospital discharge (the limit for timeliness) >90% of the time and eight 'High Potential' sites who submitted timely cases <75% of the time. The primary aim was to increase case submission timeliness in 'High Potential' centers from 41% to 80% by December 2020. The secondary aim was to maintain timeliness in 'High Performer' sites., Method: During the intervention phase (March-December 2020), plan-do-study-act (PDSA) cycles included webinars, facilitated exploratory conversations, data review and development of a best practice guide ('Getting Started Toolkit'). On-boarded 'New Centers' starting in 2020 were also invited to test intervention effectiveness. Balancing measures included data collector job satisfaction and stress and resubmission rates., Results: 'High Performer' and 'High Potential' centers submitted 11 358 cases from November 2019 to December 2020. Timely submission rates for 'High Potential' centers improved from 40.6% to 74.6% and were maintained at >90% for 'High Performer' centers. 'New Centers' averaged 92.6% timely case submissions during their first 6 months. Data collector job satisfaction and stress were not impacted, and the resubmission rates did not increase., Conclusion: PAC3's multicenter QI project increased data submission timeliness in a large pediatric subspecialty registry. The lessons learned and the Toolkit developed can be applied in other registries to improve data submission efficiency, with resultant improvement in benchmarking, QI, research, length of stay and outcomes., (© The Author(s) 2022. Published by Oxford University Press on behalf of International Society for Quality in Health Care. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Objective: To assess whether integrated behavioral health (IBH) prevention encounters provided during well-child visits (WCVs) is associated with increased adherence to WCVs and timely immunizations in the first year., Methods: Data were collected in an urban pediatric primary care clinic serving a low-income population and using the HealthySteps model. Subjects were 813 children who attended a newborn well-child visit between January 13, 2016 and August 8, 2017. Data from the electronic health record was extracted on attendance at six well-child visits in the first year of life, IBH prevention encounters by the HealthySteps specialist, completion of immunizations at 5 and 14 months, and demographics and social and clinical risk factors., Results: After controlling for covariates, odds of attendance at 6, 9, and 12-month WCVs were significantly higher for those who had IBH prevention encounters at previous WCVs. Odds of immunization completion by 5 months was associated with number of IBH prevention encounters in the first 4 months (OR = 1.52, p = .001) but not immunization completion at 14 months (OR = 1.18, p = .059)., Conclusions: IBH prevention encounters were associated with increased adherence to WCVs in the first year and vaccine completion at 5 months of age. These findings are consistent with IBH having a broad positive effect on child health and health care through strong relational connections with families and providing value in addressing emotional and behavioral concerns in the context of WCVs., (© The Author(s) 2021. Published by Oxford University Press on behalf of the Society of Pediatric Psychology. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Sickle cell disease (SCD) is associated with significant health challenges that often worsen during adolescence. Living with SCD requires a substantial amount of self-management and mobile health (mHealth) holds considerable promise for assessing and changing behaviors to improve health outcomes. We integrated a mobile app as an adjunct to a group intervention (SCThrive) and hypothesized that more engagement with the mHealth app would increase self-management and self-efficacy for adolescents and young adults (AYA) with SCD. Twenty-six AYA ages 13-21 years (54% female; 46% HbSS genotype; all African-American/Black) received six weekly group sessions (three in-person, three online). Participants were provided with the mobile app (iManage for SCD) to record progress on their self-management goals and log pain and mood symptoms. The Transition Readiness Assessment Questionnaire (TRAQ-5) assessed self-management skills and the Patient Activation Measure (PAM-13) assessed self-efficacy at baseline and post-treatment. Logging on to the app more frequently was associated higher mood ratings (r = .54, CI[.18, .77], p = .006) and lower pain ratings (r = -.48, CI[-.77, -.02], p = .04). Regression analyses demonstrated that after controlling for scores at baseline, the number of logins to the app predicted self-management skills (p = .05, η2 = .17) and possibly self-efficacy (p = .08, η2 = .13). Our study findings indicate that it can be challenging to maintain engagement in mHealth for AYA with SCD, but for those who do engage, there are significant benefits related to self-management, self-efficacy, and managing pain and mood., (© The Author(s) 2021. Published by Oxford University Press on behalf of the Society of Behavioral Medicine.)

Objective: This article guides researchers through the process of specifying, troubleshooting, evaluating, and interpreting latent growth mixture models., Methods: Latent growth mixture models are conducted with small example dataset of N = 117 pediatric patients using Mplus software., Results: The example and data show how to select a solution, here a 3-class solution. We also present information on two methods for incorporating covariates into these models., Conclusions: Many studies in pediatric psychology seek to understand how an outcome changes over time. Mixed models or latent growth models estimate a single average trajectory estimate and an overall estimate of the individual variability, but this may mask other patterns of change shared by some participants. Unexplored variation in longitudinal data means that researchers can miss critical information about the trajectories of subgroups of individuals that could have important clinical implications about how one assess, treats, and manages subsets of individuals. Latent growth mixture modeling is a method for uncovering subgroups (or "classes") of individuals with shared trajectories that differ from the average trajectory., (© The Author(s) 2021. Published by Oxford University Press on behalf of the Society of Pediatric Psychology. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Objective: To describe the development of the Patient-Reported Outcome Measurement Information System (PROMIS) Pediatric Meaning and Purpose item banks, child-report and parent-proxy editions., Methods: Data were collected from two samples. The first comprised 1,895 children (8-17 years old) and 927 parents of children 5-17 years old recruited from an Internet panel, medical clinics, and schools. The second comprised a nationally representative sample of 990 children 8-17 years old and 1,292 parents of children 5-17 years old recruited from a different Internet panel. Item pool evaluation was done with Sample 1 and analyses were used to support decisions about item retention. The combined sample was used for item response theory (IRT) calibration of the item bank. Both samples were used in validation studies., Results: Eleven items were deleted from the item pool because of poor psychometric performance. The final versions of the scales showed excellent reliability (>0.90). Short form scales (4 or 8 items) had a high degree of precision across over 4 SD units of the latent variable. The item bank positively correlated with extant measures of positive psychological functioning, and negatively correlated with measures of emotional distress, pessimism, and pain. Lower meaning and purpose scores were associated with adolescence and presence of a special healthcare need., Conclusion: The PROMIS Pediatric Meaning and Purpose item banks and their short forms are ready for use in clinical research and practice. They are measures of children's eudaimonic well-being and indicative of children's hopefulness, optimism, goal-directedness, and feelings that life is worth living., (© The Author(s) 2019. Published by Oxford University Press on behalf of the Society of Pediatric Psychology. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Achieving rapid and meaningful improvement in healthcare requires the dissemination of quality improvement project results via publication. Doing this well requires detailed descriptions of the complex interventions and of the context in which the improvement took place. This report builds on the first 2 articles in the series to cover important considerations in writing quality improvement manuscripts with a focus on how it differs from writing traditional clinical research reports. The recommendations we outline here also apply to reviewing quality improvement manuscripts.

Objective: Electronic medication lists may be useful in clinical decision support and research, but their accuracy is not well described. Our aim was to assess the completeness of the medication list compared to the clinical narrative in the electronic health record., Methods: We reviewed charts of 30 patients with inflammatory bowel disease (IBD) from each of 6 gastroenterology centers. Centers compared IBD medications from the medication list to the clinical narrative., Results: We reviewed 379 IBD medications among 180 patients. There was variation by center, from 90% patients with complete agreement between the medication list and clinical narrative to 50% agreement., Conclusions: There was a range in the accuracy of the medication list compared to the clinical narrative. This information may be helpful for sites seeking to improve data quality and those seeking to use medication list data for research or clinical decision support.

In this second article in the quality improvement (QI) methods series, we discuss how data are best displayed and analyzed in QI projects while focusing on some similarities with and differences from traditional clinical research. We demonstrate why displaying data over time on a run or control chart is superior to using pre-post analysis for QI studies. We introduce several types of statistical process control charts for data commonly collected during QI programs and provide guidance on how to use the proper chart. Last, we present solutions to several common data challenges in QI projects.

Background: Timely identification of medication administration errors (MAEs) promises great benefits for mitigating medication errors and associated harm. Despite previous efforts utilizing computerized methods to monitor medication errors, sustaining effective and accurate detection of MAEs remains challenging. In this study, we developed a real-time MAE detection system and evaluated its performance prior to system integration into institutional workflows., Methods: Our prospective observational study included automated MAE detection of 10 high-risk medications and fluids for patients admitted to the neonatal intensive care unit at Cincinnati Children's Hospital Medical Center during a 4-month period. The automated system extracted real-time medication use information from the institutional electronic health records and identified MAEs using logic-based rules and natural language processing techniques. The MAE summary was delivered via a real-time messaging platform to promote reduction of patient exposure to potential harm. System performance was validated using a physician-generated gold standard of MAE events, and results were compared with those of current practice (incident reporting and trigger tools)., Results: Physicians identified 116 MAEs from 10 104 medication administrations during the study period. Compared to current practice, the sensitivity with automated MAE detection was improved significantly from 4.3% to 85.3% (P = .009), with a positive predictive value of 78.0%. Furthermore, the system showed potential to reduce patient exposure to harm, from 256 min to 35 min (P < .001)., Conclusions: The automated system demonstrated improved capacity for identifying MAEs while guarding against alert fatigue. It also showed promise for reducing patient exposure to potential harm following MAE events.

Background: The importance of a holistic approach with a comprehensive multidisciplinary team, including nutritional and psychosocial support, is becoming well recognised as a key contributor to optimal care in paediatric inflammatory bowel disease [IBD]. The Paediatric committee of ECCO [P-ECCO] aimed to determine important components that would contribute to quality of care in a paediatric IBD centre [henceforth 'quality items']., Methods: First, a list of items has been generated by a Delphi group of 111 international paediatric IBD experts. Through an iterative process, the group graded and ranked the items according to their perceived relative contribution to quality care. We then surveyed 101 paediatric IBD centres affiliated with the Porto and Interest groups of ESPGHAN in Europe and with the ImproveCareNow registry in North America, exploring the availability of the retained items in their centres., Results: A total of 68 items were generated and reduced to a list of 60 ranked order items, grouped in six domains: Facility, Personnel, Management, Supportive Services, Patient Support and Accessibility, and Academia and Communications. Of the retained items, 52 [88%] were present in most of the 101 high-performing paediatric IBD centres, and there was a trend for increased availability with increased patient volume at the centres., Conclusion: In this P-ECCO study, we attempted to tabulate, for the first time in paediatrics, 60 quality items that paediatric IBD referral centres may wish to include., (Copyright © 2017 European Crohn’s and Colitis Organisation (ECCO). Published by Oxford University Press. All rights reserved. For permissions, please email: journals.permissions@oup.com)

Background: The American Physical Therapy Association (APTA) published a guideline for congenital muscular torticollis (CMT) in 2013. Our division adopted the guideline as the institutional practice standard and engaged in a quality improvement (QI) initiative to increase the percentage of patients who achieved resolution of CMT within 6 months of evaluation., Objective: The aims of this report are to describe the QI activities conducted to improve patient outcomes and discuss the results and implications for other institutions and patient populations., Design: This was a quality improvement study., Methods: In alignment with the Chronic Care Model and Model of Improvement, an aim and operationally defined key outcome and process measures were established. Interventions were tested using Plan-Do-Study-Act cycles. A CMT registry was established to store and manage data extracted from the electronic record over the course of testing. Statistical process control charts were used to monitor progress over time., Results: The QI initiative resulted in an increase in the percentage of patients who achieved full resolution of CMT within a 6-month episode of care from 42% to 61% over an 18-month period. Themes that emerged as key drivers of improvement included: (1) timely, optimal access to care, (2) effective audit and clinician feedback, and (3) accurate, timely documentation., Limitations: The initiative took place at a single institution with a supportive culture and strong QI resources, which may limit direct translation of interventions and findings to other institutions and patient populations., Conclusions: Improvement science methodologies provided the tools and structure to improve division-wide workflow and increase consistency in the implementation of the APTA CMT guideline. In doing so, significant CMT population outcome improvements were achieved., (© 2017 American Physical Therapy Association)

Objectives: Electronic trigger detection tools hold promise to reduce Adverse drug event (ADEs) through efficiencies of scale and real-time reporting. We hypothesized that such a tool could automatically detect medication dosing errors as well as manage and evaluate dosing rule modifications., Materials and Methods: We created an order and alert analysis system that identified antibiotic medication orders and evaluated user response to dosing alerts. Orders associated with overridden alerts were examined for evidence of administration and the delivered dose was compared to pharmacy-derived dosing rules to confirm true overdoses. True overdose cases were reviewed for association with known ADEs., Results: Of 55 546 orders reviewed, 539 were true overdose orders, which lead to 1965 known overdose administrations. Documentation of loose stools and diarrhea was significantly increased following drug administration in the overdose group. Dosing rule thresholds were altered to reflect clinically accurate dosing. These rule changes decreased overall alert burden and improved the salience of alerts., Discussion: Electronic algorithm-based detection systems can identify antibiotic overdoses that are clinically relevant and are associated with known ADEs. The system also serves as a platform for evaluating the effects of modifying electronic dosing rules. These modifications lead to decreased alert burden and improvements in response to decision support alerts., Conclusion: The success of this test case suggests that gains are possible in reducing medication errors and improving patient safety with automated algorithm-based detection systems. Follow-up studies will determine if the positive effects of the system persist and if these changes lead to improved safety outcomes., (© The Author 2016. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com)

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., (© The Author 2016. Published by Oxford University Press in association with the International Society for Quality in Health Care. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com)

Objectives: (1) To develop an automated eligibility screening (ES) approach for clinical trials in an urban tertiary care pediatric emergency department (ED); (2) to assess the effectiveness of natural language processing (NLP), information extraction (IE), and machine learning (ML) techniques on real-world clinical data and trials., Data and Methods: We collected eligibility criteria for 13 randomly selected, disease-specific clinical trials actively enrolling patients between January 1, 2010 and August 31, 2012. In parallel, we retrospectively selected data fields including demographics, laboratory data, and clinical notes from the electronic health record (EHR) to represent profiles of all 202795 patients visiting the ED during the same period. Leveraging NLP, IE, and ML technologies, the automated ES algorithms identified patients whose profiles matched the trial criteria to reduce the pool of candidates for staff screening. The performance was validated on both a physician-generated gold standard of trial-patient matches and a reference standard of historical trial-patient enrollment decisions, where workload, mean average precision (MAP), and recall were assessed., Results: Compared with the case without automation, the workload with automated ES was reduced by 92% on the gold standard set, with a MAP of 62.9%. The automated ES achieved a 450% increase in trial screening efficiency. The findings on the gold standard set were confirmed by large-scale evaluation on the reference set of trial-patient matches., Discussion and Conclusion: By exploiting the text of trial criteria and the content of EHRs, we demonstrated that NLP-, IE-, and ML-based automated ES could successfully identify patients for clinical trials., (© The Author 2014. Published by Oxford University Press on behalf of the American Medical Informatics Association.)

Background: Although electronic health records (EHRs) have the potential to provide a foundation for quality and safety algorithms, few studies have measured their impact on automated adverse event (AE) and medical error (ME) detection within the neonatal intensive care unit (NICU) environment., Objective: This paper presents two phenotyping AE and ME detection algorithms (ie, IV infiltrations, narcotic medication oversedation and dosing errors) and describes manual annotation of airway management and medication/fluid AEs from NICU EHRs., Methods: From 753 NICU patient EHRs from 2011, we developed two automatic AE/ME detection algorithms, and manually annotated 11 classes of AEs in 3263 clinical notes. Performance of the automatic AE/ME detection algorithms was compared to trigger tool and voluntary incident reporting results. AEs in clinical notes were double annotated and consensus achieved under neonatologist supervision. Sensitivity, positive predictive value (PPV), and specificity are reported., Results: Twelve severe IV infiltrates were detected. The algorithm identified one more infiltrate than the trigger tool and eight more than incident reporting. One narcotic oversedation was detected demonstrating 100% agreement with the trigger tool. Additionally, 17 narcotic medication MEs were detected, an increase of 16 cases over voluntary incident reporting., Conclusions: Automated AE/ME detection algorithms provide higher sensitivity and PPV than currently used trigger tools or voluntary incident-reporting systems, including identification of potential dosing and frequency errors that current methods are unequipped to detect., (Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.)

Objective: The present study examined the effect of child gender and maternal depressive symptoms on routine supervisory practices of mothers longitudinally., Method: Self-report supervision practices were obtained at various time points from 3 months through 3 years of age., Results: From 3 to 36 months, the quantity of time mothers reported supervising decreased from 7.1 to 6.3 hours, and the proportion of time spent in an intense style decreased from 63 to 46%, whereas that spent in a peripheral style increased from 14 to 32%. Mothers reported more time supervising girls and a greater proportion of this was in an intense style. Mothers with elevated depressive symptoms reported more time supervising but a lower proportion in an intense style., Conclusion: Over the first 36 months of life, routine patterns of supervision change and these vary as a function of maternal depression symptoms and child gender. Implications for child injury risk are discussed.

Background/objective: Cincinnati Children's Hospital Medical Center created the Intermediate Improvement Science Series (I(2)S(2)) training course to develop organisational leaders to do improvement, lead improvement and get results on specific projects., Design Methods: Each multidisciplinary class consists of 25-30 participants and 12 in-class training days over 6 months. Instructional methods include lectures, case studies, interactive application exercises and dialogue, participant reports and assigned readings. Participants demonstrate competence in improvement science by completing a project with improvement in outcome and/or process measures. They present on their projects and receive feedback during each session and one-on-one coaching between sessions., Results: Since 2006, 279 participants in 11 classes have completed the I(2)S(2) course. Participant evaluations have consistently rated satisfaction, learning, application, impact and value very high. Large and statistically significant changes were observed in pre-course to post-course self-assessment of knowledge of five quality improvement topics. Approximately 85% of the projects demonstrated measurable improvement. At follow-up, 72% of improvement projects were completed and made a part of everyday operations in the participant's unit or were the focus of continuing improvement work. Many changes were spread to other units or programmes. Most (88%) responding graduates continued to participate in formal quality improvement efforts and many led other improvement projects. Nearly half of the respondents presented their results at one or more professional conference., Conclusions: Through the I(2)S(2) course, the authors are developing improvement leaders, accelerating the shift in the culture from a traditional academic medical centre to an improvement-focused culture, and building cross-silo relationships by developing leaders who understand the organisation as a large system of interdependent subsystems focused on improving health.