Interfacility Transfer Outcomes Among Children With Complex Chronic Conditions: Associations Between Patient-Level and Hospital-Level Factors and Transfer Outcomes.

OBJECTIVES: Determine patient- and referring hospital-level predictors of transfer outcomes among children with 1 or more complex chronic conditions (CCCs) transferred to a large academic medical center. METHODS: We conducted a retrospective chart review of 2063 pediatric inpatient admissions from 2017 to 2019 with at least 1 CCC defined by International Classification of Diseases, Tenth Revision codes. Charts were excluded if patients were admitted via any route other than transfer from a referring hospital's emergency department or inpatient ward. Patient-level factors were race/ethnicity, payer, and area median income. Hospital-level factors included the clinician type initiating transfer and whether the referring-hospital had an inpatient pediatric ward. Transfer outcomes were rapid response within 24 hours of admission, Pediatric Early Warning Score at admission, and hours to arrival. Regression analyses adjusted for age were used to determine association between patient- and hospital-level predictors with transfer outcomes. RESULTS: There were no significant associations between patient-level predictors and transfer outcomes. Hospital-level adjusted analyses indicated that transfers from hospitals without inpatient pediatrics wards had lower odds of ICU admission during hospitalization (odds ratio, 0.46; 95% confidence interval, 0.22-0.97) and shorter transfer times (ß-coefficient, -2.54; 95% CI, -3.60 to -1.49) versus transfers from hospitals with inpatient pediatrics wards. There were no significant associations between clinician type and transfer outcomes. CONCLUSIONS: For pediatric patients with CCCs, patient-level predictors were not associated with clinical outcomes. Transfers from hospitals without inpatient pediatric wards were less likely to require ICU admission and had shorter interfacility transfer times compared with those from hospitals with inpatient pediatrics wards.

Translating ethical and quality principles for the effective, safe and fair development, deployment and use of artificial intelligence technologies in healthcare.

OBJECTIVE: The complexity and rapid pace of development of algorithmic technologies pose challenges for their regulation and oversight in healthcare settings. We sought to improve our institution's approach to evaluation and governance of algorithmic technologies used in clinical care and operations by creating an Implementation Guide that standardizes evaluation criteria so that local oversight is performed in an objective fashion. MATERIALS AND METHODS: Building on a framework that applies key ethical and quality principles (clinical value and safety, fairness and equity, usability and adoption, transparency and accountability, and regulatory compliance), we created concrete guidelines for evaluating algorithmic technologies at our institution. RESULTS: An Implementation Guide articulates evaluation criteria used during review of algorithmic technologies and details what evidence supports the implementation of ethical and quality principles for trustworthy health AI. Application of the processes described in the Implementation Guide can lead to algorithms that are safer as well as more effective, fair, and equitable upon implementation, as illustrated through 4 examples of technologies at different phases of the algorithmic lifecycle that underwent evaluation at our academic medical center. DISCUSSION: By providing clear descriptions/definitions of evaluation criteria and embedding them within standardized processes, we streamlined oversight processes and educated communities using and developing algorithmic technologies within our institution. CONCLUSIONS: We developed a scalable, adaptable framework for translating principles into evaluation criteria and specific requirements that support trustworthy implementation of algorithmic technologies in patient care and healthcare operations.

Impact of a hospital service for adults with chronic childhood-onset disease: A propensity weighted analysis.

BACKGROUND: Young adults with chronic childhood-onset diseases (CCOD) transitioning care from pediatrics to adult care are at high risk for readmission after hospital discharge. At our institution, we have implemented an inpatient service, the Med-Peds (MP) line, to improve transitions to adult care and reduce hospital utilization by young adults with CCOD. OBJECTIVE: This study aimed to assess the effect of the MP line on length of stay (LOS) and 30-day readmission rates compared to other inpatient services. METHODS: This was an observational, retrospective cohort analysis of patients admitted to the MP line compared to other hospital service lines over a 2-year period. To avoid potential confounding by indication for admission to the MP line, propensity score weighting methods were used. RESULTS: The MP line cared for 302 patients with CCOD from June 2019 to July 2021. Compared to other service lines, there was a 33% reduction in relative risk of 30-day readmission (26.9% compared to 40.3%, risk ratio = 0.67, 95% confidence interval [CI] 0.55-0.81). LOS was 10% longer for the MP line (event time ratio (ETR): 1.10 95% CI 1.0-1.21) with median LOS 4.8 versus 4.5 days. Patients with sickle cell disease had less of a reduction in 30-day readmissions and longer LOS. CONCLUSION: Hospitalization for young adults with CCOD on a MP service line was associated with lower 30-day readmission rates and longer LOS than hospitalization on other services. Further research is needed to assess which components of the line most contribute to decreased utilization.

Feasibility of Implementation of a Mobile Digital Personal Health Record to Coordinate Care for Children and Youth With Special Health Care Needs in Primary Care: Protocol for a Mixed Methods Study.

BACKGROUND: Electronic health record (EHR)-integrated digital personal health records (PHRs) via Fast Healthcare Interoperability Resources (FHIR) are promising digital health tools to support care coordination (CC) for children and youth with special health care needs but remain widely unadopted; as their adoption grows, mixed methods and implementation research could guide real-world implementation and evaluation. OBJECTIVE: This study (1) evaluates the feasibility of an FHIR-enabled digital PHR app for CC for children and youth with special health care needs, (2) characterizes determinants of implementation, and (3) explores associations between adoption and patient- or family-reported outcomes. METHODS: This nonrandomized, single-arm, prospective feasibility trial will test an FHIR-enabled digital PHR app's use among families of children and youth with special health care needs in primary care settings. Key app features are FHIR-enabled access to structured data from the child's medical record, families' abilities to longitudinally track patient- or family-centered care goals, and sharing progress toward care goals with the child's primary care provider via a clinician dashboard. We shall enroll 40 parents or caregivers of children and youth with special health care needs to use the app for 6 months. Inclusion criteria for children and youth with special health care needs are age 0-16 years; primary care at a participating site; complex needs benefiting from CC; high hospitalization risk in the next 6 months; English speaking; having requisite technology at home (internet access, Apple iOS mobile device); and an active web-based EHR patient portal account to which a parent or caregiver has full proxy access. Digital prescriptions will be used to disseminate study recruitment materials directly to eligible participants via their existing EHR patient portal accounts. We will apply an intervention mixed methods design to link quantitative and qualitative (semistructured interviews and family engagement panels with parents of children and youth with special health care needs) data and characterize implementation determinants. Two CC frameworks (Pediatric Care Coordination Framework; Patient-Centered Medical Home) and 2 evaluation frameworks (Consolidated Framework for Implementation Research; Technology Acceptance Model) provide theoretical foundations for this study. RESULTS: Participant recruitment began in fall 2022, before which we identified >300 potentially eligible patients in EHR data. A family engagement panel in fall 2021 generated formative feedback from family partners. Integrated analysis of pretrial quantitative and qualitative data informed family-centered enhancements to study procedures. CONCLUSIONS: Our findings will inform how to integrate an FHIR-enabled digital PHR app for children and youth with special health care needs into clinical care. Mixed methods and implementation research will help strengthen implementation in diverse clinical settings. The study is positioned to advance knowledge of how to use digital health innovations for improving care and outcomes for children and youth with special health care needs and their families. TRIAL REGISTRATION: ClinicalTrials.gov NCT05513235; https://clinicaltrials.gov/study/NCT05513235. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/46847.

Outcomes of End-User Testing of a Care Coordination Mobile App With Families of Children With Special Health Care Needs: Simulation Study.

BACKGROUND: Care for children with special health care needs relies on a network of providers who work to address the medical, behavioral, developmental, educational, social, and economic needs of the child and their family. Family-directed, manually created visual depictions of care team composition (ie, care mapping) and detailed note-taking curated by caregivers (eg, care binders) have been shown to enhance care coordination for families of these children, but they are difficult to implement in clinical settings owing to a lack of integration with electronic health records and limited visibility of family-generated insights for care providers. Caremap is an electronic health record-integrated digital personal health record mobile app designed to integrate the benefits of care mapping and care binders. Currently, there is sparse literature describing end-user participation in the co-design of digital health tools. In this paper, we describe a project that evaluated the usability and proof of concept of the Caremap app through end-user simulation. OBJECTIVE: This study aimed to conduct proof-of-concept testing of the Caremap app to coordinate care for children with special health care needs and explore early end-user engagement in simulation testing. The specific aims included engaging end users in app co-design via app simulation, evaluating the usability of the app using validated measures, and exploring user perspectives on how to make further improvements to the app. METHODS: Caregivers of children with special health care needs were recruited to participate in a simulation exercise using Caremap to coordinate care for a simulated case of a child with complex medical and behavioral needs. Participants completed a postsimulation questionnaire adapted from 2 validated surveys: the Pediatric Integrated Care Survey (PICS) and the user version of the Mobile Application Rating Scale (uMARS). A key informant interview was also conducted with a liaison to Spanish-speaking families regarding app accessibility for non-English-speaking users. RESULTS: A Caremap simulation was successfully developed in partnership with families of children with special health care needs. Overall, 38 families recruited from 19 different US states participated in the simulation exercise and completed the survey. The average rating for the survey adapted from the PICS was 4.1 (SD 0.82) out of 5, and the average rating for the adapted uMARS survey was 4 (SD 0.83) out of 5. The highest-rated app feature was the ability to track progress toward short-term, patient- and family-defined care goals. CONCLUSIONS: Internet-based simulation successfully facilitated end-user engagement and feedback for a digital health care coordination app for families of children with special health care needs. The families who completed simulation with Caremap rated it highly across several domains related to care coordination. The simulation study results elucidated key areas for improvement that translated into actionable next steps in app development.

Catalyzing Cross-Sector Collaboration: Lessons from a Virtual Pediatric Complex Care Coalition.

BACKGROUND: Children with complex health needs (CCHN) have intersecting medical, behavioral health, and social needs. Unfortunately, fragmentation across health and social services sectors often results in uncoordinated care for CCHN and their families. OBJECTIVE: The purpose of this article is to describe the creation of a statewide cross-sector partnership, the Children's Complex Care Coalition of North Carolina, to identify and act on opportunities for system-level improvements in the care of CCHN. METHODS: We applied a virtual community engagement approach to form an advisory committee of cross-sector collaborators; systematically identify priorities most important and urgent to collaborators for improving systems of care; and host a series of virtual convenings involving more than 90 attendees from across the state to operationalize collaborator-identified priorities into actionable next steps. LESSONS LEARNED: Key facilitators of success for the Children's Complex Care Coalition of North Carolina partnership were investing time in building trusting relationships, particularly with families of CCHN, and aligning goals and priorities with existing local and regional efforts. Challenges included incorporating traditionally under-represented perspectives, right-sizing virtual convening attendance and number of topics covered, and navigating technological difficulties in a virtual environment. CONCLUSIONS: Health systems can catalyze the formation of cross-sector coalitions and community partnerships to advance complex care. Virtual convenings with interactive activities and participatory structures can be an efficient medium to connect coalition members and elicit actionable recommendations for system-level improvements that address the needs of community members.

Predictive Modeling to Identify Children With Complex Health Needs At Risk for Hospitalization.

BACKGROUND: Identifying children at high risk with complex health needs (CCHN) who have intersecting medical and social needs is challenging. This study's objectives were to (1) develop and evaluate an electronic health record (EHR)-based clinical predictive model ("model") for identifying high-risk CCHN and (2) compare the model's performance as a clinical decision support (CDS) to other CDS tools available for identifying high-risk CCHN. METHODS: This retrospective cohort study included children aged 0 to 20 years with established care within a single health system. The model development/validation cohort included 33 months (January 1, 2016-September 30, 2018) and the testing cohort included 18 months (October 1, 2018-March 31, 2020) of EHR data. Machine learning methods generated a model that predicted probability (0%-100%) for hospitalization within 6 months. Model performance measures included sensitivity, positive predictive value, area under receiver-operator curve, and area under precision-recall curve. Three CDS rules for identifying high-risk CCHN were compared: (1) hospitalization probability ≥10% (model-predicted); (2) complex chronic disease classification (using Pediatric Medical Complexity Algorithm [PMCA]); and (3) previous high hospital utilization. RESULTS: Model development and testing cohorts included 116 799 and 27 087 patients, respectively. The model demonstrated area under receiver-operator curve = 0.79 and area under precision-recall curve = 0.13. PMCA had the highest sensitivity (52.4%) and classified the most children as high risk (17.3%). Positive predictive value of the model-based CDS rule (19%) was higher than CDS based on the PMCA (1.9%) and previous hospital utilization (15%). CONCLUSIONS: A novel EHR-based predictive model was developed and validated as a population-level CDS tool for identifying CCHN at high risk for future hospitalization.

Caregiver Perspectives on Telemedicine for Postdischarge Care for Children With Medical Complexity: A Qualitative Study.

INTRODUCTION: The objectives of this study were to describe the perspectives of caregivers of children with medical complexity on telemedicine video visits (TMVV) for posthospitalization care and determine whether TMVV may be a viable alternative to in-person follow-up. METHOD: Our qualitative descriptive study included semistructured telephone interviews with 12 caregivers. Data analysis was conducted using an adapted Colaizzi's descriptive phenomenological method for thematic construction. RESULTS: Results were organized into four themes describing caregivers' experiences with TMVV: (1) promoted caregiver self-efficacy and sense of independence; (2) TMVV as convenient, cost-effective, comprehensive, and acceptable; (3) supported caregiver decision-making and problem-solving; and (4) fostered delivery of family-centered care. DISCUSSION: Although in-person visits are necessary for some circumstances, TMVV can serve as a convenient and acceptable alternative for posthospitalization follow-up in children with medical complexity. Overall, caregivers in this study were satisfied with the quality of care and individualized experience of TMVV.

Goal-Concordance in Children with Complex Chronic Conditions.

OBJECTIVES: To characterize delivery of goal-concordant end-of-life (EOL) care among children with complex chronic conditions and to determine factors associated with goal-concordance. STUDY DESIGN: This was a retrospective review of goals of care discussions for 272 children with at least 1 complex chronic condition who died at a tertiary care hospital between January 1, 2014, and December 31, 2017. Goals of care and code status were assessed before and within the last 72 hours of life. Goals of care discussions were coded as full interventions; considering withdrawal of interventions (palliation); planned transition to palliation; or actively transitioning/transitioned to palliation. RESULTS: In total, 158 children had documented goals of care discussions before and within the last 72 hours of life, 18 had goals of care discussions only >72 hours before death, 54 only in the last 72 hours of life, and 42 had no documented goals of care. For children with goals of care, EOL care was goal-concordant for 82.2%, discordant in 7%, and unclear in 10.8%. Black children had a greater than 8-fold greater odds of discordant care compared with White children (OR 8.34, P = .007). Comparison of goals of care and code status before and within the last 72 hours of life revealed trends toward nonescalation of care. Specifically, rates of active palliation increased from 11.7% to 63.0%, and code status shifted from 32.6% do not resuscitate to 65.2% (P < .001). CONCLUSIONS: In this cohort, a majority of children had documented goals of care discussions and received goal-concordant EOL care. However, Black children had greater odds of receiving goal-discordant care. Goals of care and code status shifted toward palliation during the last 72 hours of life.

A Tailored SMS Text Message-Based Intervention to Facilitate Patient Access to Referred Community-Based Social Needs Resources: Protocol for a Pilot Feasibility and Acceptability Study.

BACKGROUND: Health care providers are increasingly screening patients for unmet social needs (eg, food, housing, transportation, and social isolation) and referring patients to relevant community-based resources and social services. Patients' connection to referred services is often low, however, suggesting the need for additional support to facilitate engagement with resources. SMS text messaging presents an opportunity to address barriers related to contacting resources in an accessible, scalable, and low-cost manner. OBJECTIVE: In this multi-methods pilot study, we aim to develop an automated SMS text message-based intervention to promote patient connection to referred social needs resources within 2 weeks of the initial referral and to evaluate its feasibility and patient acceptability. This protocol describes the intervention, conceptual underpinnings, study design, and evaluation plan to provide a detailed illustration of how SMS technology can complement current social needs screening and referral practice patterns without disrupting care. METHODS: For this pilot prospective cohort study, this SMS text message-based intervention augments an existing social needs screening, referral, and navigation program at a federally qualified health center. Patients who received at least one referral for any identified unmet social need are sent 2 rounds of SMS messages over 2 weeks. The first round consists of 5-10 messages that deliver descriptions of and contact information for the referred resources. The second round consists of 2 messages that offer a brief reminder to contact the resources. Participants will evaluate the intervention via a survey and a semistructured interview, informed by an adapted technology acceptance model. Rapid qualitative and thematic analysis will be used to extract themes from the responses. Primary outcomes are implementation feasibility and patient acceptability. Secondary outcomes relate to intervention effectiveness: self-reported attempt to connect and successful connection to referred resources 2 weeks after the initial referral encounter. RESULTS: The study received regulatory approval in May 2021, and we anticipate enrolling 15-20 participants for this initial pilot. CONCLUSIONS: This protocol presents detailed implementation methods about a novel automated SMS intervention for social care integration within primary care. By sharing the study protocol early, we intend to facilitate the development and adoption of similar tools across different clinical settings, as more health care providers seek to address the unmet social needs of patients. Study findings will provide practical insights into the design and implementation of SMS text message-based interventions to improve social and medical care coordination. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/37316.

Healthcare Utilization for Medicaid-Insured Children with Medical Complexity: Differences by Sociodemographic Characteristics.

OBJECTIVE: To compare differences in healthcare utilization and costs for Medicaid-insured children with medical complexity (CMC) by race/ethnicity and rurality. METHODS: Retrospective cohort of North Carolina (NC) Medicaid claims for children 3-20 years old with 3 years continuous Medicaid coverage (10/1/2015-9/30/2018). Exposures were medical complexity, race/ethnicity, and rurality. Three medical complexity levels were: without chronic disease, non-complex chronic disease, and complex chronic disease; the latter were defined as CMC. Race/ethnicity was self-reported in claims; we defined rurality by home residence ZIP codes. Utilization and costs were summarized for 1 year (10/1/2018-9/30/2019) by complexity level classification and categorized as acute care (hospitalization, emergency [ED]), outpatient care (primary, specialty, allied health), and pharmacy. Per-complexity group utilization rates (per 1000 person-years) by race/ethnicity and rurality were compared using adjusted rate ratios (ARR). RESULTS: Among 859,166 Medicaid-insured children, 118,210 (13.8%) were CMC. Among CMC, 36% were categorized as Black non-Hispanic, 42.7% White non-Hispanic, 14.3% Hispanic, and 35% rural. Compared to White non-Hispanic CMC, Black non-Hispanic CMC had higher hospitalization (ARR = 1.12; confidence interval, CI 1.08-1.17) and ED visit (ARR = 1.17; CI 1.16-1.19) rates; Hispanic CMC had lower ED visit (ARR = 0.77; CI 0.75-0.78) and hospitalization rates (ARR = 0.79; CI 0.73-0.84). Black non-Hispanic and Hispanic CMC had lower outpatient visit rates than White non-Hispanic CMC. Rural CMC had higher ED (ARR = 1.13; CI 1.11-1.15) and lower primary care utilization rates (ARR = 0.87; CI 0.86-0.88) than urban CMC. DISCUSSION: Healthcare utilization varied by race/ethnicity and rurality for Medicaid-insured CMC. Further studies should investigate mechanisms for these variations and expand higher value, equitable care delivery for CMC.

Redesigning Care of Hospitalized Young Adults With Chronic Childhood-Onset Disease.

Background Young adults with chronic childhood-onset disease (CCOD) are routinely admitted to internal medicine hospitalist services, yet most lack transition preparation to adult care. Providers and patients feel the strain of admissions to adult services in part due to their medical and social complexity. Methods We performed a descriptive study of a care redesign project for young adults with CCOD hospitalized at a large, tertiary care academic hospital. We describe the process of implementation of the Med-Peds (MP) service line and characterize patients cared for by the service. We measured and analyzed patient demographics, process implementation, healthcare screening, and healthcare utilization data. Results During the 16 months of the study period, 254 patients were cared for by the MP service line, accounting for 385 hospitalizations. The most common CCODs were sickle cell disease (22.4%) and type 1 diabetes (14.6%). The majority (76%) of patients completed transition readiness assessment, and 38.6% completed social determinant of health (SDH) screening during their admission. Patients had high prevalence of SDH with 66.7% having an unmet social need. The average length of stay was 6.6 days and the average 30-day readmission rate was 20.0%. Conclusions There is opportunity to redesign the inpatient care of young adult patients with CCOD. The MP service line is a care model that can be integrated into existing hospital medicine teams with MP physicians. Hospitals should consider redesigning care for young adults with CCOD to meet the transitional and social needs unique to this patient population.

Parent-to-parent peer support for children and youth with special health care needs: Preliminary evaluation of a family partner program in a healthcare system.

PURPOSE: Children and youth with special health care needs (CYSHCN) have complex care and coordination needs that are often managed by parents or primary caregivers. This study describes a parent-to-parent peer support pilot program for parents of CYSHCN implemented in both outpatient and inpatient settings across a large health system. DESIGN & METHODS: Retrospective data from the Family Partner Program documentation in patient health records are described. Descriptions about the encounters and types of support provided are also reviewed using qualitative descriptive analysis. RESULTS: Three Family Partners conducted 203 encounters with parents of 90 CYSHCN over six months. Family Partners provided both emotional and tangible support. Primary themes discussed included the persistent care, coordination and management needs related to parenting a child with complex care needs, the subsequent worry and stress about their child and family, and the need for stress management and self-care. CONCLUSION: This study provides early evidence that implementation of a parent-to-parent peer support program for parents of CYSHCN in a large, academic medical center is feasible. Family Partners enhanced their healthcare team's ability to provide patient- and family-centered support for pediatric patients and their families through the provision of emotional and tangible support. PRACTICE IMPLICATIONS: Family Partners, who are trained in effective use of the shared experience, the health coach model, and healthcare systems, and who are supported by a strong supervisory team, are ideally suited to support families and patients as they address their concerns and unmet needs and navigate complex health circumstances.

Identifying Priorities to Improve the System of Care for Children With Complex Health Needs in North Carolina: Process and Outcomes of Systematic Stakeholder Engagement.

OBJECTIVE: Children with complex health needs (CCHN) have both medical (eg, chronic conditions) and health-related social needs (eg, potentially adverse social determinants of health) that require ongoing health care and support from multiple community service providers. National standards developed for populations defined by health needs (CYSHCN) provide a framework for stakeholders to plan system-level improvements in care delivery for CCHN, but improvement efforts should reflect the priorities of their families and providers. This article describes a process of prioritizing system-level efforts to improve the health and well-being of CCHN and families in North Carolina (NC), using systematic stakeholder engagement and modified Delphi expert ratings. METHODS: We surveyed stakeholders with experience caring for CCHN using an open-ended, 3-item instrument to identify opportunities to improve systems of care. Using directed qualitative content analysis, we synthesized responses into a master list of potential improvement topics. Using a modified Delphi approach, a 16-member advisory committee rated all topics for importance and urgency, on 9-point Likert scales over 2 rounds; then ratings for each topic were ranked (low, medium, high) to establish relative priority. RESULTS: Forty seven individuals from 31 counties around NC provided survey responses, yielding 59 improvement topics in 10 domains. Through the modified Delphi method process, 21 topics (36%) received the highest rankings, largely representing access to community- and home-based services, equity, and enhancement of the pediatric workforce. CONCLUSIONS: Priorities identified by stakeholders will inform advocacy, policy, and improvement efforts. Next steps for the coalition include developing improvement projects to implement stakeholder-recommended actions for the highest-priority topics.

Feasibility of Post-hospitalization Telemedicine Video Visits for Children With Medical Complexity.

OBJECTIVES: To evaluate feasibility and acceptability of post-hospitalization telemedicine video visits (TMVV) during hospital-to-home transitions for children with medical complexity (CMC); and explore associations with hospital utilization, caregiver self-efficacy (CSE), and family self-management (FSM). METHOD: This non-randomized pilot study assigned CMC (n=28) to weekly TMVV for four weeks post-hospitalization; control CMC (n=20) received usual care without telemedicine. Feasibility was measured by time to connection and proportion of TMVV completed; acceptability was measured by parent-reported surveys. Pre/post-discharge changes in CSE, FSM, and hospital utilization were assessed. RESULTS: 64 TMVV were completed; 82 % of patients completed 1 TMVV; 54 % completed four TMVV. Median time to TMVV connection was 1 minute (IQR=2.5). Parents reported high acceptability of TMVV (mean 6.42; 1 -7 scale). CSE and FSM pre/post-discharge were similar for both groups; utilization declined in both groups post-discharge. DISCUSSION: Post-hospitalization TMVV for CMC were feasible and acceptable during hospital-to-home transitions.

Feasibility of implementing systematic social needs assessment for children with medical complexity.

BACKGROUND: Children with medical complexity (CMC) have inter-related health and social needs; however, interventions to identify and respond to social needs have not been adapted for CMC. The objective of this study was to evaluate the feasibility of implementing social needs screening and assessment within pediatric complex care programs. METHODS: We implemented systematic social needs assessment for CMC (SSNAC) at two tertiary care centers in three phases: (1) pre-implementation, (2) implementation, and (3) implementation monitoring. We utilized a multifaceted implementation package consisting of discrete implementation strategies within each phase. In phase 1, we adapted questions from evidence-informed screening tools into a 21-item SSNAC questionnaire, and we used published frameworks to inform implementation readiness and process. In phases 2-3, clinical staff deployed the SSNAC questionnaire to parents of CMC in-person or by phone as part of usual care and adapted to local clinical workflows. Staff used shared decision-making with parents and addressed identified needs by providing information about available resources, offering direct assistance, and making referrals to community agencies. Implementation outcomes included fidelity, feasibility, acceptability, and appropriateness. RESULTS: Observations from clinical staff characterized fidelity to use of the SSNAC questionnaire, assessment template, and shared decision-making for follow-up on unmet social needs. Levels of agreement (5-point Likert scale; 1 = completely disagree; 5 = completely agree) rated by staff for key implementation outcomes were moderate to high for acceptability (mean = 4.7; range = 3-5), feasibility (mean = 4.2; range = 3-5), and appropriateness (mean = 4.6; range = 4-5). 49 SSNAC questionnaires were completed with a 91% response rate. Among participating parents, 37 (76%) reported ≥ 1 social need, including food/nutrition benefits (41%), housing (18%), and caregiver needs (29%). Staff responses included information provision (41%), direct assistance (30%), and agency referral (30%). CONCLUSIONS: It was feasible for tertiary care center-based pediatric complex care programs to implement a standardized social needs assessment for CMC to identify and address parent-reported unmet social needs.

Point-of-Care Complexity Screening Algorithm to Identify Children With Medical Complexity.

OBJECTIVES: For pediatric complex care programs to target enhanced care coordination services to the highest-risk patients, it is critical to accurately identify children with medical complexity (CMC); however, no gold standard definition exists. The aim of this study is to describe a point-of-care screening algorithm to identify CMC with high health care use, a group that may benefit the most from improved care coordination. METHODS: From July 1, 2015, to June 30, 2016 (fiscal year 2016 [FY16]), a medical complexity screening algorithm was implemented by a pediatric complex care program at a single tertiary care center for hospitalized patients at the time of admission. Using the screening algorithm, we categorized inpatients into 1 of 3 groups: CMC, children with special health care needs (CSHCN), or previously healthy (PH) children. Inpatient resource use for FY16 and FY17 encounters was extracted for children screened in FY16. RESULTS: We categorized 2187 inpatients in FY16 into the 3 complexity groups (CMC = 77; CSHCN = 1437; PH children = 673). CMC had more complex chronic conditions (median = 6; interquartile range [IQR] 4-11) than CSHCN (median = 1; IQR 0-2) and PH children (median = 0; IQR 0-0). CMC had greater per-patient and per-encounter hospital use than CSHCN and PH children. CMC and children with ≥4 complex chronic conditions had comparable levels of resource use. CONCLUSIONS: By implementation of a point-of-care screening algorithm, we identified CMC with high health care use. By using this algorithm, it was feasible to identify hospitalized CMC that could benefit from care coordination by a pediatric complex care program.