Integration of physical abuse clinical decision support into the electronic health record at a Tertiary Care Children's Hospital

Identifying Child Abuse in Patients With Femur Fractures Through Pathway Compliance: A Pilot Study

Background Child abuse is a significant cause of morbidity and mortality in children. A thorough history and physical exam is critical to identifying abuse. Standardized screening tools as well as clinical pathways can assist with identifying patients who may have an injury secondary to abuse. There are varied recommendations for the upper age in which to routinely evaluate pediatric patients for child abuse. Objectives The primary objective of this study was to describe the outcomes of the implementation of an evidence-based clinical pathway for suspected non-accidental trauma for all pediatric patients aged five years and under presenting with a femur fracture. This pathway includes orders for imaging, labs, and consults. In addition, the characteristics of this population and the findings were described. Methods A retrospective study of patients at a single institution who met the National Trauma Data Standard registry inclusion criteria and had a femur fracture was performed. Variables analyzed included age, demographics, mechanism and location of injury, admission status and service, injury severity, hospital characteristics, and discharge status. Patients with a metabolic bone disease were excluded. Results There were 200 patients who met the inclusion criteria. Thirty-two patients had a diagnosis of confirmed or suspected child abuse. While all 32 patients had a skeletal survey performed, only 23 (71.9%) had the complete workup per the clinical pathway, and 21 (65.6%) had a diagnosis of confirmed child abuse. Conclusion Clinical pathways are established to provide the standardization of clinical assessments and interventions; however, this process relies on a single individual to make a judgment determining whether or not to implement the pathway. Children presenting to an emergency department with confirmed or suspected child abuse are a vulnerable population. A child abuse diagnosis is a clinical judgment; however, clinical pathways aid in the diagnosis in hopes to stop any further abuse. For a pathway to be successful, each step needs to be addressed.

Shaking Up Our Approach: The Need for Characterization and Optimization of Pre-clinical Models of Infant Abusive Head Trauma

Traumatic brain injuries (TBIs) are a large societal and individual burden. In the first year of life, the vast majority of these injuries are the result of inflicted abusive events by a trusted caregiver. Abusive head trauma (AHT) in infants, formerly known as shaken baby syndrome, is the leading cause of inflicted mortality and morbidity in this population. In this review we address clinical diagnosis, symptoms, prognosis, and neuropathology of AHT, emphasizing the burden of repetitive AHT. Next, we consider existing animal models of AHT, and we evaluate key features of an ideal model, highlighting important developmental milestones in children most vulnerable to AHT. We draw on insights from other injury models, such as repetitive, mild TBIs (RmTBIs), post-traumatic epilepsy (PTE), hypoxic-ischemic injuries, and maternal neglect, to speculate on key knowledge gaps and underline important new opportunities in pre-clinical AHT research. Finally, potential treatment options to facilitate healthy development in children following an AHT are considered. Together, this review aims to drive the field toward optimized, well-characterized animal models of AHT, which will allow for greater insight into the underlying neuropathological and neurobehavioral consequences of AHT.

Emergency Department Triage Chief Complaints Among Children Evaluated for Physical Abuse Concerns

OBJECTIVES

The aims of this study were to describe chief complaints provided at emergency department triage for young children ultimately given a diagnosed with injuries concerning for physical abuse and compare chief complaints by hospital child protection team assessment (abuse most likely, accident most likely, undetermined) among children younger than 2 years who were the subject of a report to child protective services.

METHODS

This is a retrospective review of children evaluated by the child protection team at an urban children's hospital over a 5-year period. Children younger than 2 years who were the subject of a report to child protective services for suspected physical abuse were included. Chief complaints noted in emergency department triage notes were categorized as follows: 1, medical sign or symptom; 2, accidental trauma incident; 3, identified injury; 4, concern for abuse; or 5, multiple unrelated complaints. Child protection team assessments were categorized as follows: 1, abuse most likely; 2, accident most likely; or 3, undetermined. We used descriptive statistics and tests of association (χ 2 , Fisher exact, Kruskal-Wallis).

RESULTS

Median age of the 422 children included was 4.9 months. Child protection team assessment was abuse most likely in 44%, accident most likely in 23%, and undetermined in 34%. Chief complaints in the overall sample were 39% medical, 29% trauma incident, 16% injury, 10% abuse concern, and 6% multiple unrelated. When the abuse most likely and accident most likely groups were compared, medical chief complaints were more common in the former (47% vs 19%, P < 0.001), whereas trauma incident chief complaints were more common in the latter (19% vs 64%, P < 0.001). Most common medical complaints in the abuse most likely group were altered mental status, abnormal limb use, swelling, pain, apnea, and vomiting.

CONCLUSION

Many children found to have injuries concerning for abuse (47%) present without mention of trauma, injury, or abuse concern as part of the chief complaint. Our findings suggest important topics to include in training physicians about recognition of abuse.

Optimizing Advanced Imaging of the Pediatric Patient in the Emergency Department: Technical Report

Advanced diagnostic imaging modalities, including ultrasonography, computed tomography, and magnetic resonance imaging, are key components in the evaluation and management of pediatric patients presenting to the emergency department. Advances in imaging technology have led to the availability of faster and more accurate tools to improve patient care. Notwithstanding these advances, it is important for physicians, physician assistants, and nurse practitioners to understand the risks and limitations associated with advanced imaging in children and to limit imaging studies that are considered low value, when possible. This technical report provides a summary of imaging strategies for specific conditions where advanced imaging is commonly considered in the emergency department. As an accompaniment to the policy statement, this document provides resources and strategies to optimize advanced imaging, including clinical decision support mechanisms, teleradiology, shared decision-making, and rationale for deferred imaging for patients who will be transferred for definitive care.

Optimizing Advanced Imaging of the Pediatric Patient in the Emergency Department: Technical Report

Advanced diagnostic imaging modalities, including ultrasonography, computed tomography, and magnetic resonance imaging (MRI), are key components in the evaluation and management of pediatric patients presenting to the emergency department. Advances in imaging technology have led to the availability of faster and more accurate tools to improve patient care. Notwithstanding these advances, it is important for physicians, physician assistants, and nurse practitioners to understand the risks and limitations associated with advanced imaging in children and to limit imaging studies that are considered low value, when possible. This technical report provides a summary of imaging strategies for specific conditions where advanced imaging is commonly considered in the emergency department. As an accompaniment to the policy statement, this document provides resources and strategies to optimize advanced imaging, including clinical decision support mechanisms, teleradiology, shared decision-making, and rationale for deferred imaging for patients who will be transferred for definitive care.

Evidence From the USPSTF and New Approaches to Evaluate Interventions to Prevent Child Maltreatment

Importance

The United States Preventive Services Task Force (USPSTF) has considered the topic of prevention of child maltreatment multiple times over its nearly 40-year history, each time reaching the conclusion that the evidence is insufficient to recommend for or against interventions aimed at preventing this important health problem with significant negative sequelae before it occurs. In the most recent evidence review, which was conducted from August 2021 to November 2023 and published in March 2024, the USPSTF considered contextual questions on the evidence for bias in reporting and diagnosis of maltreatment in addition to key questions regarding effectiveness of interventions to prevent child maltreatment.

Observations

A comprehensive literature review found evidence of inaccuracies in risk assessment and racial and ethnic bias in the reporting of child maltreatment and in the evaluation of injuries concerning for maltreatment, such as skull fractures. When children are incorrectly identified as being maltreated, harms, such as unnecessary family separation, may occur. Conversely, when children who are being maltreated are missed, harms, such as ongoing injury to the child, continue. Interventions focusing primarily on preventing child maltreatment did not demonstrate consistent benefit or information was insufficient. Additionally, the interventions may expose children to the risk of harm as a result of these inaccuracies and biases in reporting and evaluation. These inaccuracies and biases also complicate assessment of the evidence for making clinical prevention guidelines.

Conclusions and Relevance

There are several potential strategies for consideration in future efforts to evaluate interventions aimed at the prevention of child maltreatment while minimizing the risk of exposing children to known biases in reporting and diagnosis. Promising strategies to explore might include a broader array of outcome measures for addressing child well-being, using population-level metrics for child maltreatment, and assessments of policy-level interventions aimed at improving child and family well-being. These future considerations for research in addressing child maltreatment complement the USPSTF's research considerations on this topic. Both can serve as guides to researchers seeking to study the ways in which we can help all children thrive.

The role of information systems in emergency department decision-making-a literature review

OBJECTIVES

Healthcare providers employ heuristic and analytical decision-making to navigate the high-stakes environment of the emergency department (ED). Despite the increasing integration of information systems (ISs), research on their efficacy is conflicting. Drawing on related fields, we investigate how timing and mode of delivery influence IS effectiveness. Our objective is to reconcile previous contradictory findings, shedding light on optimal IS design in the ED.

MATERIALS AND METHODS

We conducted a systematic review following PRISMA across PubMed, Scopus, and Web of Science. We coded the ISs' timing as heuristic or analytical, their mode of delivery as active for automatic alerts and passive when requiring user-initiated information retrieval, and their effect on process, economic, and clinical outcomes.

RESULTS

Our analysis included 83 studies. During early heuristic decision-making, most active interventions were ineffective, while passive interventions generally improved outcomes. In the analytical phase, the effects were reversed. Passive interventions that facilitate information extraction consistently improved outcomes.

DISCUSSION

Our findings suggest that the effectiveness of active interventions negatively correlates with the amount of information received during delivery. During early heuristic decision-making, when information overload is high, physicians are unresponsive to alerts and proactively consult passive resources. In the later analytical phases, physicians show increased receptivity to alerts due to decreased diagnostic uncertainty and information quantity. Interventions that limit information lead to positive outcomes, supporting our interpretation.

CONCLUSION

We synthesize our findings into an integrated model that reveals the underlying reasons for conflicting findings from previous reviews and can guide practitioners in designing ISs in the ED.

Routine Emergency Department Screening to Decrease Subsequent Physical Abuse

STUDY OBJECTIVE

Emergency department (ED) screening for child physical abuse has been widely implemented, with uncertain effects on child abuse identification. Our goal was to determine the effect of screening on referrals to child protective services (CPS) identifying abuse.

METHODS

We performed a retrospective cohort study of children younger than 6 years old with an ED encounter at 1 of 2 large health care systems, one of which implemented routine child abuse screening. The main outcome was initial (<2 days) or subsequent (3 to 180 days) referral to CPS identifying child abuse using linked records. We compared outcomes for the 2-year period after screening was implemented to the preperiod and nonscreening EDs using generalized estimating equations to adjust for sex, age, race/ethnicity, payor and prior ED encounters and clustered by center.

RESULTS

Of the 331,120 ED encounters, 41,589 (12.6%) occurred at screening EDs during the screening period. Screening was completed in 34,272 (82%) and was positive in 188 (0.45%). Overall, 7,623 encounters (2.3%) had a subsequent referral, of which 589 (0.2%) identified moderate or severe abuse. ED screening did not change initial (adjusted odds ratio [aOR]=1.01, 95% confidence interval [CI] 0.89 to 1.15) or subsequent referral to CPS when compared to the prescreening period (aOR=1.05, 95% CI 0.9 to 1.18) or to the nonscreening EDs (aOR=1.06, 95% CI 0.92 to 1.21).

CONCLUSION

Routine screening did not affect initial or subsequent referrals to CPS.

Stressful life events in electronic health records: a scoping review

OBJECTIVES

Stressful life events, such as going through divorce, can have an important impact on human health. However, there are challenges in capturing these events in electronic health records (EHR). We conducted a scoping review aimed to answer 2 major questions: how stressful life events are documented in EHR and how they are utilized in research and clinical care.

MATERIALS AND METHODS

Three online databases (EBSCOhost platform, PubMed, and Scopus) were searched to identify papers that included information on stressful life events in EHR; paper titles and abstracts were reviewed for relevance by 2 independent reviewers.

RESULTS

Five hundred fifty-seven unique papers were retrieved, and of these 70 were eligible for data extraction. Most articles (n = 36, 51.4%) were focused on the statistical association between one or several stressful life events and health outcomes, followed by clinical utility (n = 15, 21.4%), extraction of events from free-text notes (n = 12, 17.1%), discussing privacy and other issues of storing life events (n = 5, 7.1%), and new EHR features related to life events (n = 4, 5.7%). The most frequently mentioned stressful life events in the publications were child abuse/neglect, arrest/legal issues, and divorce/relationship breakup. Almost half of the papers (n = 7, 46.7%) that analyzed clinical utility of stressful events were focused on decision support systems for child abuse, while others (n = 7, 46.7%) were discussing interventions related to social determinants of health in general.

DISCUSSION AND CONCLUSIONS

Few citations are available on the prevalence and use of stressful life events in EHR reflecting challenges in screening and storing of stressful life events.

Developing and Testing the Usability of a Novel Child Abuse Clinical Decision Support System: Mixed Methods Study

BACKGROUND

Despite the impact of physical abuse on children, it is often underdiagnosed, especially among children evaluated in emergency departments (EDs). Electronic clinical decision support (CDS) can improve the recognition of child physical abuse.

OBJECTIVE

We aimed to develop and test the usability of a natural language processing-based child abuse CDS system, known as the Child Abuse Clinical Decision Support (CA-CDS), to alert ED clinicians about high-risk injuries suggestive of abuse in infants' charts.

METHODS

Informed by available evidence, a multidisciplinary team, including an expert in user design, developed the CA-CDS prototype that provided evidence-based recommendations for the evaluation and management of suspected child abuse when triggered by documentation of a high-risk injury. Content was customized for medical versus nursing providers and initial versus subsequent exposure to the alert. To assess the usability of and refine the CA-CDS, we interviewed 24 clinicians from 4 EDs about their interactions with the prototype. Interview transcripts were coded and analyzed using conventional content analysis.

RESULTS

Overall, 5 main categories of themes emerged from the study. CA-CDS benefits included providing an extra layer of protection, providing evidence-based recommendations, and alerting the entire clinical ED team. The user-centered, workflow-compatible design included soft-stop alert configuration, editable and automatic documentation, and attention-grabbing formatting. Recommendations for improvement included consolidating content, clearer design elements, and adding a hyperlink with additional resources. Barriers to future implementation included alert fatigue, hesitancy to change, and concerns regarding documentation. Facilitators of future implementation included stakeholder buy-in, provider education, and sharing the test characteristics. On the basis of user feedback, iterative modifications were made to the prototype.

CONCLUSIONS

With its user-centered design and evidence-based content, the CA-CDS can aid providers in the real-time recognition and evaluation of infant physical abuse and has the potential to reduce the number of missed cases.

Stressful life events in electronic health records: a scoping review

Objective

Stressful life events, such as going through divorce, can have an important impact on human health. However, there are challenges in capturing these events in electronic health records (EHR). We conducted a scoping review aimed to answer two major questions: how stressful life events are documented in EHR and how they are utilized in research and clinical care.

Materials and Methods

Three online databases (EBSCOhost platform, PubMed, and Scopus) were searched to identify papers that included information on stressful life events in EHR; paper titles and abstracts were reviewed for relevance by two independent reviewers.

Results

557 unique papers were retrieved, and of these 70 were eligible for data extraction. Most articles (n=36, 51.4%) were focused on the statistical association between one or several stressful life events and health outcomes, followed by clinical utility (n=15, 21.4%), extraction of events from free-text notes (n=12, 17.1%), discussing privacy and other issues of storing life events (n=5, 7.1%), and new EHR features related to life events (n=4, 5.7%). The most frequently mentioned stressful life events in the publications were child abuse/neglect, arrest/legal issues, and divorce/relationship breakup. Almost half of the papers (n=7, 46.7%) that analyzed clinical utility of stressful events were focused on decision support systems for child abuse, while others (n=7, 46.7%) were discussing interventions related to social determinants of health in general.

Discussion and Conclusions

Few citations are available on the prevalence and use of stressful life events in EHR reflecting challenges in screening and storing of stressful life events.

Stressful life events in electronic health records: a scoping review

Objective

Stressful life events, such as going through divorce, can have an important impact on human health. However, there are challenges in capturing these events in electronic health records (EHR). We conducted a scoping review aimed to answer two major questions: how stressful life events are documented in EHR and how they are utilized in research and clinical care.

Materials and Methods

Three online databases (EBSCOhost platform, PubMed, and Scopus) were searched to identify papers that included information on stressful life events in EHR; paper titles and abstracts were reviewed for relevance by two independent reviewers.

Results

557 unique papers were retrieved, and of these 70 were eligible for data extraction. Most articles (n=36, 51.4%) were focused on the statistical association between one or several stressful life events and health outcomes, followed by clinical utility (n=15, 21.4%), extraction of events from free-text notes (n=12, 17.1%), discussing privacy and other issues of storing life events (n=5, 7.1%), and new EHR features related to life events (n=4, 5.7%). The most frequently mentioned stressful life events in the publications were child abuse/neglect, arrest/legal issues, and divorce/relationship breakup. Almost half of the papers (n=7, 46.7%) that analyzed clinical utility of stressful events were focused on decision support systems for child abuse, while others (n=7, 46.7%) were discussing interventions related to social determinants of health in general.

Discussion and Conclusions

Few citations are available on the prevalence and use of stressful life events in EHR reflecting challenges in screening and storing of stressful life events.

Antibiotic clinical decision support for pneumonia in the ED: A randomized trial

BACKGROUND

Electronic health record-based clinical decision support (CDS) is a promising antibiotic stewardship strategy. Few studies have evaluated the effectiveness of antibiotic CDS in the pediatric emergency department (ED).

OBJECTIVE

To compare the effectiveness of antibiotic CDS vs. usual care for promoting guideline-concordant antibiotic prescribing for pneumonia in the pediatric ED.

DESIGN

Pragmatic randomized clinical trial.

SETTING AND PARTICIPANTS

Encounters for children (6 months-18 years) with pneumonia presenting to two tertiary care children s hospital EDs in the United States.

INTERVENTION

CDS or usual care was randomly assigned during 4-week periods within each site. The CDS intervention provided antibiotic recommendations tailored to each encounter and in accordance with national guidelines.

MAIN OUTCOME AND MEASURES

The primary outcome was exclusive guideline-concordant antibiotic prescribing within the first 24 h of care. Safety outcomes included time to first antibiotic order, encounter length of stay, delayed intensive care, and 3- and 7-day revisits.

RESULTS

1027 encounters were included, encompassing 478 randomized to usual care and 549 to CDS. Exclusive guideline-concordant prescribing did not differ at 24 h (CDS, 51.7% vs. usual care, 53.3%; odds ratio [OR] 0.94 [95% confidence interval [CI]: 0.73, 1.20]). In pre-specified stratified analyses, CDS was associated with guideline-concordant prescribing among encounters discharged from the ED (74.9% vs. 66.0%; OR 1.53 [95% CI: 1.01, 2.33]), but not among hospitalized encounters. Mean time to first antibiotic was shorter in the CDS group (3.0 vs 3.4 h; p = .024). There were no differences in safety outcomes.

CONCLUSIONS

Effectiveness of ED-based antibiotic CDS was greatest among those discharged from the ED. Longitudinal interventions designed to target both ED and inpatient clinicians and to address common implementation challenges may enhance the effectiveness of CDS as a stewardship tool.

The Effect of Implementation of Guideline Order Bundles Into a General Admission Order Set on Clinical Practice Guideline Adoption: Quasi-Experimental Study

BACKGROUND

Clinical practice guidelines (CPGs) and associated order sets can help standardize patient care and lead to higher-value patient care. However, difficult access and poor usability of these order sets can result in lower use rates and reduce the CPGs' impact on clinical outcomes. At our institution, we identified multiple CPGs for general pediatrics admissions where the appropriate order set was used in <50% of eligible encounters, leading to decreased adoption of CPG recommendations.

OBJECTIVE

We aimed to determine how integrating disease-specific order groups into a common general admission order set influences adoption of CPG-specific order bundles for patients meeting CPG inclusion criteria admitted to the general pediatrics service.

METHODS

We integrated order bundles for asthma, heavy menstrual bleeding, musculoskeletal infection, migraine, and pneumonia into a common general pediatrics order set. We compared pre- and postimplementation order bundle use rates for eligible encounters at both an intervention and nonintervention site for integrated CPGs. We also assessed order bundle adoption for nonintegrated CPGs, including bronchiolitis, acute gastroenteritis, and croup. In a post hoc analysis of encounters without order bundle use, we compared the pre- and postintervention frequency of diagnostic uncertainty at the time of admission.

RESULTS

CPG order bundle use rates for incorporated CPGs increased by +9.8% (from 629/856, 73.5% to 405/486, 83.3%) at the intervention site and by +5.1% (896/1351, 66.3% to 509/713, 71.4%) at the nonintervention site. Order bundle adoption for nonintegrated CPGs decreased from 84% (536/638) to 68.5% (148/216), driven primarily by decreases in bronchiolitis order bundle adoption in the setting of the COVID-19 pandemic. Diagnostic uncertainty was more common in admissions without CPG order bundle use after implementation (28/227, 12.3% vs 19/81, 23.4%).

CONCLUSIONS

The integration of CPG-specific order bundles into a general admission order set improved overall CPG adoption. However, integrating only some CPGs may reduce adoption of order bundles for excluded CPGs. Diagnostic uncertainty at the time of admission is likely an underrecognized barrier to guideline adherence that is not addressed by an integrated admission order set.

Recognizing Nonaccidental Trauma in a Pediatric Tertiary Hospital: A Quality Improvement Imperative

Abusive injuries can go unrecognized or improperly managed by medical providers. This study sought to standardize the nonaccidental trauma (NAT) workup and improve NAT evaluation completion for children <7 months with concerning injuries in the pediatric emergency department (PED) and inpatient settings at an urban, tertiary care children's hospital.

Methods

The quality improvement (QI) team created hospital guidelines for suspected NAT, including age-based recommendations (care bundle). The team embedded an order for NAT evaluation into the electronic health record (EHR). The QI team provided education on child abuse identification and evaluation across the hospital. Hospital providers received written guides focused on enhancing communication with families. Outcome measures included monthly NAT bundle use and cases between incomplete bundles in children with suspicious injuries. Chart review of incomplete bundles helped accurately identify patients who needed NAT bundles and improved accurate NAT bundle completion for appropriate patients.

Results

Appropriate NAT bundle completion increased from 31% during the baseline period in January 2019 to 100% in April 2020 and remained at 100% for the remainder of the study period, ending June 2021. The number of patients between missed bundles was 11 from August 2019 until March 2020, when it increased to 583. There were no missed bundles from March 2020 through June 2021.

Conclusions

Standardizing NAT evaluation and creating a NAT care bundle to facilitate the appropriate evaluation preceded an increase in appropriate bundle completion in patients <7 months old with possible NAT in the PED and inpatient units.

Judgements of physicians, nurses, and social workers regarding suspected Child maltreatment in community health care services

This study investigated how physicians, nurses, and social workers in community health care services make judgements about possible child maltreatment in ambiguous situations. We examined the influences of social biases (i.e., perceptions linking ethnicity, gender, and family socioeconomic status to child maltreatment) and belonging to distinctive occupational groups (i.e., physicians, nurses, and social workers) on professionals' assessment of suspected child maltreatment, intention to consult with others, and reporting. We used an experimental survey design including vignettes presenting a child's history inspired by real-life clinical cases. Data were collected from 397 health care professionals-170 physicians, 179 nurses, and 48 social workers-employed at community health care clinics in northern Israel. Findings show that the child's gender and family socioeconomic status had significant effects on assessment of possible child maltreatment. Also, professionals' occupational group had significant effects on assessment of child maltreatment and intention to pursue consultation. Another key finding was the significant effects of judgements about child maltreatment assessment, consultation, and reporting on one another. The study reinforces efforts to improve health care professionals' management of suspected child maltreatment that include the development of clinical decision support systems that use routinely collected electronic medical record data.

Conceptualizing clinical decision support as complex interventions: a meta-analysis of comparative effectiveness trials

OBJECTIVES

Complex interventions with multiple components and behavior change strategies are increasingly implemented as a form of clinical decision support (CDS) using native electronic health record functionality. Objectives of this study were, therefore, to (1) identify the proportion of randomized controlled trials with CDS interventions that were complex, (2) describe common gaps in the reporting of complexity in CDS research, and (3) determine the impact of increased complexity on CDS effectiveness.

MATERIALS AND METHODS

To assess CDS complexity and identify reporting gaps for characterizing CDS interventions, we used the Preferred Reporting Items for Systematic Reviews and Meta-Analyses reporting tool for complex interventions. We evaluated the effect of increased complexity using random-effects meta-analysis.

RESULTS

Most included studies evaluated a complex CDS intervention (76%). No studies described use of analytical frameworks or causal pathways. Two studies discussed use of theory but only one fully described the rationale and put it in context of a behavior change. A small but positive effect (standardized mean difference, 0.147; 95% CI, 0.039-0.255; P < .01) in favor of increasing intervention complexity was observed.

DISCUSSION

While most CDS studies should classify interventions as complex, opportunities persist for documenting and providing resources in a manner that would enable CDS interventions to be replicated and adapted. Unless reporting of the design, implementation, and evaluation of CDS interventions improves, only slight benefits can be expected.

CONCLUSION

Conceptualizing CDS as complex interventions may help convey the careful attention that is needed to ensure these interventions are contextually and theoretically informed.

Electronic Health Record Tools to Identify Child Maltreatment: Scoping Literature Review and Key Informant Interviews

OBJECTIVE

To prevent missed cases and standardize care, health systems are beginning to implement EHR-based screens (EHR-CA-S) and clinical decision supports systems (EHR-CA-CDSS) for the identification and management of child maltreatment. This study aimed to 1) document the existing research evidence on the performance of EHR-CA-S and EHR-CA-CDSS and 2) examine clinical perspectives regarding the use of such tools and factors that affect uptake.

METHODS

We searched MEDLINE, Embase, EBSCO, Scopus, and CINAHL databases for English language articles published prior to November 2021 that describe and/or evaluated an EHR-CA-S and/or EHR-CA-CDSS involving 0 to 18-year olds. We performed semistructured interviews with 20 individuals who have experience in identifying, evaluating, and/or treating child maltreatment and/or conducting research on these topics.

RESULTS

Our search identified 574 articles; 16 met inclusion criteria. Studies examined screening, alerts and triggers, and quality improvement. None evaluated long-term clinical outcomes. Sensitivity ranged from 0.14 to 1.00, specificity from 0.865 to 1.00, positive predictive value from 0.03 to 1.00 and negative predictive value from 0.55 to 1.00. A variety of EHR-CA-S and/or EHR-CA-CDSS have been implemented at institutions in our sample. Interviewees cited missed cases, policy requirements, and the lack of standardization of care as impetuses for adopting these tools, yet expressed concerns regarding insufficient evidence, bias, and time-intensiveness of implementation.

CONCLUSIONS

Interviewees and the literature agree that current evidence does not support adoption of a particular CA-S or CA-CDSS. Further refinement and research on EHR-CA-S and EHR-CA-CDSS is necessary for these tools to be feasibly implemented and sustained, reliable for clinical practice, and not cause any unintentional harms.

Applying a diagnostic excellence framework to assess opportunities to improve recognition of child physical abuse

OBJECTIVES

Diagnostic excellence is an important domain of healthcare quality. Delays in diagnosis have been described in 20-30% of children with abusive injuries. Despite the well characterized epidemiology, improvement strategies remain elusive. We sought to assess the applicability of diagnostic improvement instruments to cases of non-accidental trauma and to identify potential opportunities for system improvement in child physical abuse diagnosis.

METHODS

We purposefully sampled 10 cases identified as having potential for system level interventions and in which the child had prior outpatient encounters to review. Experts in pediatrics, child abuse, and diagnostic improvement independently reviewed each case and completed SaferDx, a validated instrument used to evaluate the diagnostic process. Cases were subsequently discussed to map potential opportunities for improving the diagnostic process to the DEER Taxonomy, which classifies opportunities by type and phase of the diagnostic process.

RESULTS

The most frequent improvement opportunities identified by the SaferDx were in recognition of potential alarm symptoms and in expanding differential diagnosis (5 of 10 cases). The most frequent DEER taxonomy process opportunities were in history taking (8 of 10) and hypothesis generation (7 of 10). Discussion elicited additional opportunities in reconsideration of provisional diagnoses, understanding biopsychosocial risk, and addressing information scatter within the electronic health record (EHR).

CONCLUSIONS

Applying a diagnostic excellence framework facilitated identification of systems opportunities to improve recognition of child abuse including integration of EHR information to support recognition of alarm symptoms, collaboration to support vulnerable families, and communication about diagnostic reasoning.

Improved Detection of Child Maltreatment with Routine Screening in a Tertiary Care Pediatric Hospital

OBJECTIVES

To evaluate the impact of layering routine child abuse screening on top of a preexisting electronic health record-embedded Child Abuse Clinical Decision Support System (CA-CDSS) in a pediatric emergency department.

STUDY DESIGN

The Pittsburgh Child Abuse Screening Tool (P-CAST) was performed in all children aged <13 years and in nonverbal children aged ≥13 years who presented to a pediatric tertiary care center over a 6-month period. The P-CAST was layered on top of a preexisting CA-CDSS that included passive triggers, alerts, and abuse-specific order sets.

RESULTS

Of the 28 797 screens performed, 1.8% were positive in children aged <13 years and 1.6% were positive in nonverbal children aged ≥13 years. One-half of the children with a positive P-CAST also triggered the CA-CDSS; the other one-half triggered only because of the P-CAST. Nineteen percent of the patients with a positive P-CAST were reported to Child Protective Services (CPS). There was no relationship between race and the odds of a positive P-CAST or between race and the likelihood of a report being made to CPS.

CONCLUSIONS

Active routine child abuse screening improves identification of suspected child maltreatment in a children's hospital above and beyond what is identified with a CA-CDSS, which depends on passive triggers. The lack of a relationship between race and a positive P-CAST or a report to CPS suggest that systematic child abuse screening may mitigate well-recognized racial disparities in identifying and reporting suspected child maltreatment.

Extracting social determinants of health from electronic health records using natural language processing: a systematic review

OBJECTIVE

Social determinants of health (SDoH) are nonclinical dispositions that impact patient health risks and clinical outcomes. Leveraging SDoH in clinical decision-making can potentially improve diagnosis, treatment planning, and patient outcomes. Despite increased interest in capturing SDoH in electronic health records (EHRs), such information is typically locked in unstructured clinical notes. Natural language processing (NLP) is the key technology to extract SDoH information from clinical text and expand its utility in patient care and research. This article presents a systematic review of the state-of-the-art NLP approaches and tools that focus on identifying and extracting SDoH data from unstructured clinical text in EHRs.

MATERIALS AND METHODS

A broad literature search was conducted in February 2021 using 3 scholarly databases (ACL Anthology, PubMed, and Scopus) following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. A total of 6402 publications were initially identified, and after applying the study inclusion criteria, 82 publications were selected for the final review.

RESULTS

Smoking status (n = 27), substance use (n = 21), homelessness (n = 20), and alcohol use (n = 15) are the most frequently studied SDoH categories. Homelessness (n = 7) and other less-studied SDoH (eg, education, financial problems, social isolation and support, family problems) are mostly identified using rule-based approaches. In contrast, machine learning approaches are popular for identifying smoking status (n = 13), substance use (n = 9), and alcohol use (n = 9).

CONCLUSION

NLP offers significant potential to extract SDoH data from narrative clinical notes, which in turn can aid in the development of screening tools, risk prediction models, and clinical decision support systems.

The influence of integrating clinical practice guideline order bundles into a general admission order set on guideline adoption

Objectives of this study were to (1) describe barriers to using clinical practice guideline (CPG) admission order sets in a pediatric hospital and (2) determine if integrating CPG order bundles into a general admission order set increases adoption of CPG-recommended orders compared to standalone CPG order sets. We identified CPG-eligible encounters and surveyed admitting physicians to understand reasons for not using the associated CPG order set. We then integrated CPG order bundles into a general admission order set and evaluated effectiveness through summative usability testing in a simulated environment. The most common reasons for the nonuse of CPG order sets were lack of awareness or forgetting about the CPG order set. In usability testing, CPG order bundle use increased from 27.8% to 66.6% while antibiotic ordering errors decreased from 62.9% to 18.5% with the new design. Integrating CPG-related order bundles into a general admission order set improves CPG order set use in simulation by addressing the most common barriers to CPG adoption.

Clinical evaluation and management of children with suspected physical abuse

Evaluating and managing children with suspected physical abuse is challenging. Few single injuries are pathognomonic for abuse and, as a result, child abuse is easily missed. As such, a healthy bit of skepticism is needed to recognize and protect abused children. The medical history and clinical presentation should guide evaluation. Medical providers must consider the differential diagnosis, epidemiology of injuries, and child development to inform the assessment. In this review, we address evidence-based recommendations to inform child physical abuse evaluations. We also discuss the role of medical providers in communicating with families, mandated reporting and interpreting medical information for investigative agencies and other non-medical colleagues entrusted with protecting children.

Combatting human trafficking in the United States: how can medical informatics help?

OBJECTIVE

Human trafficking is a global problem taking many forms, including sex and labor exploitation. Trafficking victims can be any age, although most trafficking begins when victims are adolescents. Many trafficking victims have contact with health-care providers across various health-care contexts, both for emergency and routine care.

MATERIALS AND METHODS

We propose 4 specific areas where medical informatics can assist with combatting trafficking: screening, clinical decision support, community-facing tools, and analytics that are both descriptive and predictive. Efforts to implement health information technology interventions focused on trafficking must be carefully integrated into existing clinical work and connected to community resources to move beyond identification to provide assistance and to support trauma-informed care.

RESULTS

We lay forth a research and implementation agenda to integrate human trafficking identification and intervention into routine clinical practice, supported by health information technology.

CONCLUSIONS

A sociotechnical systems approach is recommended to ensure interventions address the complex issues involved in assisting victims of human trafficking.

Predictive value of indicators for identifying child maltreatment and intimate partner violence in coded electronic health records: a systematic review and meta-analysis

OBJECTIVE

Electronic health records (EHRs) are routinely used to identify family violence, yet reliable evidence of their validity remains limited. We conducted a systematic review and meta-analysis to evaluate the positive predictive values (PPVs) of coded indicators in EHRs for identifying intimate partner violence (IPV) and child maltreatment (CM), including prenatal neglect.

METHODS

We searched 18 electronic databases between January 1980 and May 2020 for studies comparing any coded indicator of IPV or CM including prenatal neglect defined as neonatal abstinence syndrome (NAS) or fetal alcohol syndrome (FAS), against an independent reference standard. We pooled PPVs for each indicator using random effects meta-analyses.

RESULTS

We included 88 studies (3 875 183 individuals) involving 15 indicators for identifying CM in the prenatal period and childhood (0-18 years) and five indicators for IPV among women of reproductive age (12-50 years). Based on the International Classification of Disease system, the pooled PPV was over 80% for NAS (16 studies) but lower for FAS (<40%; seven studies). For young children, primary diagnoses of CM, specific injury presentations (eg, rib fractures and retinal haemorrhages) and assaults showed a high PPV for CM (pooled PPVs: 55.9%-87.8%). Indicators of IPV in women had a high PPV, with primary diagnoses correctly identifying IPV in >85% of cases.

CONCLUSIONS

Coded indicators in EHRs have a high likelihood of correctly classifying types of CM and IPV across the life course, providing a useful tool for assessment, support and monitoring of high-risk groups in health services and research.

Dissemination of child abuse clinical decision support: Moving beyond a single electronic health record

BACKGROUND

Child maltreatment is a leading cause of pediatric morbidity and mortality. We previously reported on development and implementation of a child abuse clinical decision support system (CA-CDSS) in the Cerner electronic health record (EHR). Our objective was to develop a CA-CDSS in two different EHRs.

METHODS

Using the CA-CDSS in Cerner as a template, CA-CDSSs were developed for use in four hospitals in the Northwell Health system who use Allscripts and two hospitals in the University of Wisconsin health system who use Epic. Each system had a combination of triggers, alerts and child abuse-specific order sets. Usability evaluation was done prior to launch of the CA-CDSS.

RESULTS

Over an 18-month period, a CA-CDSS was embedded into Epic and Allscripts at two hospital systems. The CA-CDSSs vary significantly from each other in terms of the type of triggers which were able to be used, the type of alert, the ability of the alert to link directly to child abuse-specific order sets and the order sets themselves.

CONCLUSIONS

Dissemination of CA-CDSS from one EHR into the EHR in other health care systems is possible but time-consuming and needs to be adapted to the strengths and limitations of the specific EHR. Site-specific usability evaluation, buy-in of multiple stakeholder groups and significant information technology support are needed. These barriers limit scalability and widespread dissemination of CA-CDSS.

Integration of physical abuse clinical decision support at 2 general emergency departments

OBJECTIVE

The study sought to develop and evaluate an electronic health record-based child abuse clinical decision support system in 2 general emergency departments.

MATERIALS AND METHODS

A combination of a child abuse screen, natural language processing, physician orders, and discharge diagnoses were used to identify children <2 years of age with injuries suspicious for physical abuse. Providers received an alert and were referred to a physical abuse order set whenever a child triggered the system. Physician compliance with clinical guidelines was compared before and during the intervention.

RESULTS

A total of 242 children triggered the system, 86 during the preintervention and 156 during the intervention. The number of children identified with suspicious injuries increased 4-fold during the intervention (P < .001). Compliance was 70% (7 of 10) in the preintervention period vs 50% (22 of 44) in the intervention, a change that was not statistically different (P = .55). Fifty-two percent of providers said that receiving the alert changed their clinical decision making. There was no relationship between compliance and provider or patient demographics.

CONCLUSIONS

A multifaceted child abuse clinical decision support system resulted in a marked increase in the number of young children identified as having injuries suspicious for physical abuse in 2 general emergency departments. Compliance with published guidelines did not change; we hypothesize that this is related to the increased number of children identified with suspicious, but less serious injuries. These injuries were likely missed preintervention. Tracking compliance with guidelines over time will be important to assess whether compliance increases as physician comfort with evaluation of suspected physical abuse in young children improves.

The effects of on-screen, point of care computer reminders on processes and outcomes of care

BACKGROUND

The opportunity to improve care by delivering decision support to clinicians at the point of care represents one of the main incentives for implementing sophisticated clinical information systems. Previous reviews of computer reminder and decision support systems have reported mixed effects, possibly because they did not distinguish point of care computer reminders from e-mail alerts, computer-generated paper reminders, and other modes of delivering 'computer reminders'.

OBJECTIVES

To evaluate the effects on processes and outcomes of care attributable to on-screen computer reminders delivered to clinicians at the point of care.

SEARCH STRATEGY

We searched the Cochrane EPOC Group Trials register, MEDLINE, EMBASE and CINAHL and CENTRAL to July 2008, and scanned bibliographies from key articles.

SELECTION CRITERIA

Studies of a reminder delivered via a computer system routinely used by clinicians, with a randomised or quasi-randomised design and reporting at least one outcome involving a clinical endpoint or adherence to a recommended process of care.

DATA COLLECTION AND ANALYSIS

Two authors independently screened studies for eligibility and abstracted data. For each study, we calculated the median improvement in adherence to target processes of care and also identified the outcome with the largest such improvement. We then calculated the median absolute improvement in process adherence across all studies using both the median outcome from each study and the best outcome.

MAIN RESULTS

Twenty-eight studies (reporting a total of thirty-two comparisons) were included. Computer reminders achieved a median improvement in process adherence of 4.2% (interquartile range (IQR): 0.8% to 18.8%) across all reported process outcomes, 3.3% (IQR: 0.5% to 10.6%) for medication ordering, 3.8% (IQR: 0.5% to 6.6%) for vaccinations, and 3.8% (IQR: 0.4% to 16.3%) for test ordering. In a sensitivity analysis using the best outcome from each study, the median improvement was 5.6% (IQR: 2.0% to 19.2%) across all process measures and 6.2% (IQR: 3.0% to 28.0%) across measures of medication ordering. In the eight comparisons that reported dichotomous clinical endpoints, intervention patients experienced a median absolute improvement of 2.5% (IQR: 1.3% to 4.2%). Blood pressure was the most commonly reported clinical endpoint, with intervention patients experiencing a median reduction in their systolic blood pressure of 1.0 mmHg (IQR: 2.3 mmHg reduction to 2.0 mmHg increase).

AUTHORS' CONCLUSIONS

Point of care computer reminders generally achieve small to modest improvements in provider behaviour. A minority of interventions showed larger effects, but no specific reminder or contextual features were significantly associated with effect magnitude. Further research must identify design features and contextual factors consistently associated with larger improvements in provider behaviour if computer reminders are to succeed on more than a trial and error basis.