Pilot Evaluation of the Family Bridge Program: A Communication- and Culture-Focused Inpatient Patient Navigation Program.

OBJECTIVE: Children with low income and minority race and ethnicity have worse hospital outcomes due partly to systemic and interpersonal racism causing communication and system barriers. We tested the feasibility and acceptability of a novel inpatient communication-focused navigation program. METHODS: Multilingual design workshops with parents, providers, and staff created the Family Bridge Program. Delivered by a trained navigator, it included 1) hospital orientation; 2) social needs screening and response; 3) communication preference assessment; 4) communication coaching; 5) emotional support; and 6) a post-discharge phone call. We enrolled families of hospitalized children with public or no insurance, minority race or ethnicity, and preferred language of English, Spanish, or Somali in a single-arm trial. We surveyed parents at enrollment and 2 to 4 weeks post-discharge, and providers 2 to 3 days post-discharge. Survey measures were analyzed with paired t tests. RESULTS: Of 60 families enrolled, 57 (95%) completed the follow-up survey. Most parents were born outside the United States (60%) with a high school degree or less (60%). Also, 63% preferred English, 33% Spanish, and 3% Somali. The program was feasible: families received an average of 5.3 of 6 components; all received >2. Most caregivers (92%) and providers (81% [30/37]) were "very satisfied." Parent-reported system navigation improved from enrollment to follow-up (+8.2 [95% confidence interval 2.9, 13.6], P = .003; scale 0-100). Spanish-speaking parents reported decreased skills-related barriers (-18.4 [95% confidence interval -1.8, -34.9], P = .03; scale 0-100). CONCLUSIONS: The Family Bridge Program was feasible, acceptable, and may have potential for overcoming barriers for hospitalized children at risk for disparities.

[Assessment of the Multidimensional Performances of Food Waste Utilization Technologies in China].

In recent years, China has made great efforts to carry out source-separation in municipal solid waste management; in particular, the utilization of food waste has received increasing attention. Food waste-utilizing technologies, including anaerobic digestion, aerobic biological treatment, and insect feed conversion, are currently applied in China. However, in the existing cases, there were several disadvantages, such as a low rate of utilization, significant environmental impacts, poor economic benefits, etc., as well as a lack of systematic analysis and comprehensive assessment of the performances of food waste utilization technologies. In this study, a four-dimensional performance assessment method (resource efficiency, environmental impact, economic feasibility, and social effect, with 21 indicators) was established for assessing the life cycle process of food waste utilization technologies. We collected detailed information of 14 typical food waste utilization cases in China, and the results showed that the average scores of anaerobic digestion and insect feed conversion were 58.39 and 59.65, higher than those of the aerobic biological treatment (49.16). The highest scores among all subdivision technologies were centralized black soldier fly conversion and mesophilic wet anaerobic digestion, which were 67.14 and 60.82, respectively. With respect to the technologies of different treatment capacities and distribution modes, i.e., centralized and decentralized technologies, the resource efficiency and economic benefit scores of the former were 13% and 62% higher than those of the latter, whereas the environmental impacts and social effect scores of the latter were 8% and 34% greater than those of the former, respectively. In practice, the utilization technology of food waste should be chosen according to local conditions, such as the physical and chemical properties of food waste, the classification of municipal solid waste, financial affordability, collection and transportation distance, etc.

Disparities in Clinical Ethics Consultation among Hospitalized Children: A Case-Control Study.

OBJECTIVE: To identify sociodemographic factors associated with pediatric clinical ethics consultation (CEC). STUDY DESIGN: Matched, case-control study at a single center, tertiary pediatric hospital in the Pacific Northwest. Cases (patients hospitalized January 2008-December 2019 with CEC) were compared with controls (those without CEC). We determined the association of the outcome (CEC receipt) with exposures (race/ethnicity, insurance status, and language for care) using univariate and multivariable conditional logistic regression. RESULTS: Of 209 cases and 836 matched controls, most cases identified as white (42%), had public/no insurance (66%), and were English-speaking (81%); most controls identified as white (53%), had private insurance (54%), and were English-speaking (90%). In univariate analysis, patients identifying as Black (OR: 2.79, 95% CI: 1.57, 4.95; P < .001), Hispanic (OR: 1.92, 95% CI: 1.24, 2.97; P = .003), with public/no insurance (OR: 2.21, 95% CI: 1.58, 3.10; P < .001), and using Spanish language for care (OR: 2.52, 95% CI: 1.47, 4.32; P < .001) had significantly increased odds of CEC, compared with patients identifying as white, using private insurance, and using English for care, respectively. In multivariable regression, Black race (adjusted OR: 2.12, 95% CI: 1.16, 3.87; P = .014) and public/no insurance (adjusted OR: 1.81, 95% CI: 1.22, 2.68; P = .003) remained significantly associated with receipt of CEC. CONCLUSIONS: We found disparities in receipt of CEC by race and insurance status. Further study is needed to determine the causes of these disparities.

A sequential, multiple assignment randomized trial comparing web-based education to mobile video interpreter access for improving provider interpreter use in primary care clinics: the mVOCAL hybrid type 3 study protocol.

BACKGROUND: Individuals who use a language other than English for medical care are at risk for disparities related to healthcare safety, patient-centered care, and quality. Professional interpreter use decreases these disparities but remains underutilized, despite widespread access and legal mandates. In this study, we compare two discrete implementation strategies for improving interpreter use: (1) enhanced education targeting intrapersonal barriers to use delivered in a scalable format (interactive web-based educational modules) and (2) a strategy targeting system barriers to use in which mobile video interpreting is enabled on providers' own mobile devices. METHODS: We will conduct a type 3 hybrid implementation-effectiveness study in 3-5 primary care organizations, using a sequential multiple assignment randomized trial (SMART) design. Our primary implementation outcome is interpreter use, calculated by matching clinic visits to interpreter invoices. Our secondary effectiveness outcome is patient comprehension, determined by comparing patient-reported to provider-documented visit diagnosis. Enrolled providers (n = 55) will be randomized to mobile video interpreting or educational modules, plus standard interpreter access. After 9 months, providers with high interpreter use will continue as assigned; those with lower use will be randomized to continue as before or add the alternative strategy. After another 9 months, both strategies will be available to enrolled providers for 9 more months. Providers will complete 2 surveys (beginning and end) and 3 in-depth interviews (beginning, middle, and end) to understand barriers to interpreter use, based on the Theoretical Domains Framework. Patients who use a language other than English will be surveyed (n = 648) and interviewed (n = 75) following visits with enrolled providers to understand their experiences with communication. Visits will be video recorded (n = 100) to assess fidelity to assigned strategies. We will explore strategy mechanism activation to refine causal pathway models using a quantitative plus qualitative approach. We will also determine the incremental cost-effectiveness of each implementation strategy from a healthcare organization perspective, using administrative and provider survey data. DISCUSSION: Determining how these two scalable strategies, alone and in sequence, perform for improving interpreter use, the mechanisms by which they do so, and at what cost, will provide critical insights for addressing a persistent cause of healthcare disparities. TRIAL REGISTRATION: NCT05591586.

Assessment of Resilience Training for Hospital Employees in the Era of COVID-19.

Importance: Health care workers face serious mental health challenges as a result of ongoing work stress. The COVID-19 pandemic exacerbated that stress, resulting in high rates of anxiety, depression, and burnout. To date, few evidence-based programs targeting mental health outcomes in health care workers have been described. Objective: To assess the feasibility, acceptability, and preliminary outcomes of a skills-based coaching program designed to reduce stress and build resilience. Design, Setting, and Participants: A pilot cohort study was conducted between September 2020 and April 2021 using preprogram and postprogram assessments and a mixed-methods analysis. Duration of follow-up was 7 weeks. The coaching program was delivered via video conferencing. Participants were health care workers and staff from a large urban health system. Intervention: The Promoting Resilience in Stress Management (PRISM) program, a manualized, skills-based coaching program originally developed for adolescents and young adults with serious/chronic illness, was adapted to support health care workers and staff ("PRISM at Work"). It included 6 weekly 1-hour group sessions. Main Outcomes and Measures: Feasibility was defined a priori as 70% completion rates. Acceptability was defined quantitatively (satisfaction scores) and qualitatively (open-ended questions regarding experience with program). Preliminary outcomes were assessed with preprogram and post program assessments of self-reported resilience, stress, anxiety, and burnout using validated instruments. Descriptive statistics summarized demographic variables and feasibility and acceptability. Linear mixed effects regression models examined preliminary outcomes, controlling for relevant covariates. Results: A total of 153 participants (median [SD] age, 40.6 [10.1] years; 142 [92%] were female; 128 [84%] identified as having White race; 81 [53%] were in patient-facing roles) enrolled. Of the 132 health care workers who provided follow-up surveys, 120 (91%) had completed the program, and 116 (88%) reported being satisfied. Answers to open-ended questions suggested that participants wanted more PRISM either with longer or additional sessions. Participant-reported resilience (ß = 1.74; 95% CI, 1.00-2.48), stress (ß = -2.40; 95% CI, -3.28 to -1.51), anxiety (ß = -2.04; 95% CI, -2.74 to -1.34), and burnout-exhaustion (ß = -0.37; 95% CI, -0.56 to -0.18) improved after the program. Conclusions and Relevance: Results of this study suggest that PRISM at Work may have utility for health care workers and staff in that the program was found to be feasible, acceptable, and associated with improved outcomes.

Computerized Decision Support for Bladder Cancer Treatment Response Assessment in CT Urography: Effect on Diagnostic Accuracy in Multi-Institution Multi-Specialty Study.

This observer study investigates the effect of computerized artificial intelligence (AI)-based decision support system (CDSS-T) on physicians' diagnostic accuracy in assessing bladder cancer treatment response. The performance of 17 observers was evaluated when assessing bladder cancer treatment response without and with CDSS-T using pre- and post-chemotherapy CTU scans in 123 patients having 157 pre- and post-treatment cancer pairs. The impact of cancer case difficulty, observers' clinical experience, institution affiliation, specialty, and the assessment times on the observers' diagnostic performance with and without using CDSS-T were analyzed. It was found that the average performance of the 17 observers was significantly improved (p = 0.002) when aided by the CDSS-T. The cancer case difficulty, institution affiliation, specialty, and the assessment times influenced the observers' performance without CDSS-T. The AI-based decision support system has the potential to improve the diagnostic accuracy in assessing bladder cancer treatment response and result in more consistent performance among all physicians.

Assessment of the Promoting Resilience in Stress Management Intervention for Adolescent and Young Adult Survivors of Cancer at 2 Years: Secondary Analysis of a Randomized Clinical Trial.

Importance: Adolescents and young adults (AYAs) with cancer have a high risk of poor psychosocial outcomes. The Promoting Resilience in Stress Management (PRISM) intervention is one of few psychosocial interventions targeting younger people with cancer that has demonstrated efficacy in a randomized clinical trial. Objective: To explore 2-year trajectories of patient-reported well-being among AYA cancer survivors. The hypothesis was that AYAs who initially responded to PRISM would report sustained positive changes. Design, Setting, and Participants: This secondary analysis of data from a single-center, parallel, phase 2 randomized clinical trial was conducted from January 2015 to October 2016. Eligible participants were English-speaking AYAs between ages 13 and 25 years with cancer treated at a single, quaternary children's hospital in the US. Participants were randomly assigned (1:1) to PRISM or usual care. Data were analyzed between March 2021 and June 2021. Intervention: PRISM is a brief, skills-based coaching program targeting 4 resilience resources (stress management, goal setting, cognitive reframing, and meaning making). Main Outcomes and Measures: Patient-reported cancer-related quality of life (QoL) (PedsQL scale), hope (Hope scale), resilience (Connor-Davidson Resilience scale), and psychological distress (Kessler-6 scale) were collected at baseline, 6, 12, and 24 months. Data from AYAs who remained alive at 24 months were analyzed. Improvement was defined as a positive change in instrument scores between baseline and 6 months (ie, the end of the PRISM program) and used linear mixed effects regression to assess changes over time. Results: A total of 57 AYAs were included in analysis at 24 months (62% of 92 randomized). Twenty-six participants (46%) were female; 36 (63%) were between ages 13 and 17 years; and 20 (35%) identified as part of a racial or ethnic minority group (4 [7%] Asian, 11 [19%] Hispanic or Latino, 16 [28%] mixed race or other). PRISM was associated with improved QoL, hope, resilience, and distress between baseline and 6 months, and these associations were sustained for QoL over 12 months (ß = 7.4; 95% CI, 0.8 to 14; P = .03) and hope throughout the study period (12 months: ß = 6.2; 95% CI, 2.7 to 9.6; P < .001; 24 months: ß = 4.6; 95% CI, 1 to 8.3; P = .01). Of those whose scores improved between baseline and 6 months, PRISM participants more commonly reported sustained improvements in QoL (16 of 21 participants [76%] vs 8 of 17 [47%]), hope (14 of 24 participants [58%] vs 6 of 14 [43%]), resilience (9 of 18 participants [50%] vs 4 of 14 [29%]), and distress (14 of 19 participants [74%] vs 6 of 19 [32%]) at 24 months compared with usual care. Conclusions and Relevance: These results suggest that PRISM was associated with sustained improvements in psychosocial outcomes as reported by adolescents and young adults. Those who responded to PRISM in the first 6 months reported continued well-being 2 years later. Trial Registration: ClinicalTrials.gov Identifier: NCT02340884.

Longitudinal study of early adaptation to the coronavirus disease pandemic among youth with chronic pain and their parents: effects of direct exposures and economic stress.

ABSTRACT: The novel coronavirus disease (COVID-19) has caused prolonged disruptions in daily life for many communities. Little is known about the impact of the COVID-19 pandemic on the health and well-being of youth with chronic pain and their families. We conducted a longitudinal, mixed-methods study to characterize early adaptation to the COVID-19 pandemic among 250 families of youth (ages 12-21 years) diagnosed with chronic headache (64%) or other chronic pain conditions (36%) and to determine whether direct exposures to COVID-19 and secondary economic stress modified symptom trajectories. Youth and parents reported on pain interference, anxiety, depression, and insomnia symptoms at 4 waves of data collection from April 2020 to July 2020. We also collected qualitative data on the impact of the pandemic on the youth's pain problem. Nearly half of our sample (49.6%) experienced direct exposures to COVID-19. Secondary economic stress was also common, affecting 44.4% of families. Symptom trajectories for pain, insomnia, depression, and anxiety remained stable or improved for most participants, indicating adaptive adjustment. However, overall symptom burden was high with persistent and clinically elevated depression, anxiety, and insomnia symptoms common among youth and parents. Direct exposures to COVID-19 did not modify symptom trajectories. However, youth pain interference and parent insomnia worsened in families who experienced secondary economic stress. Qualitative data revealed perceived benefits and harms from school closures on the youth's pain problem. Our findings of high symptom burden suggest that pediatric pain clinicians should offer distance assessment and treatment (eg, through telemedicine) to avoid pandemic-related disruptions in pain care.

Reducing Antibiotic Prescribing in Primary Care for Respiratory Illness.

BACKGROUND: One-third of outpatient antibiotic prescriptions for pediatric acute respiratory tract infections (ARTIs) are inappropriate. We evaluated a distance learning program's effectiveness for reducing outpatient antibiotic prescribing for ARTI visits. METHODS: In this stepped-wedge clinical trial run from November 2015 to June 2018, we randomly assigned 19 pediatric practices belonging to the Pediatric Research in Office Settings Network or the NorthShore University HealthSystem to 4 wedges. Visits for acute otitis media, bronchitis, pharyngitis, sinusitis, and upper respiratory infection for children 6 months to <11 years old without recent antibiotic use were included. Clinicians received the intervention as 3 program modules containing online tutorials and webinars on evidence-based communication strategies and antibioti c prescribing, booster video vignettes, and individualized antibiotic prescribing feedback reports over 11 months. The primary outcome was overall antibiotic prescribing rates for all ARTI visits. Mixed-effects logistic regression compared prescribing rates during each program module and a postintervention period to a baseline control period. Odds ratios were converted to adjusted rate ratios (aRRs) for interpretability. RESULTS: Among 72 723 ARTI visits by 29 762 patients, intention-to-treat analyses revealed a 7% decrease in the probability of antibiotic prescribing for ARTI overall between the baseline and postintervention periods (aRR 0.93; 95% confidence interval [CI], 0.90-0.96). Second-line antibiotic prescribing decreased for streptococcal pharyngitis (aRR 0.66; 95% CI, 0.50-0.87) and sinusitis (aRR 0.59; 95% CI, 0.44-0.77) but not for acute otitis media (aRR 0.93; 95% CI, 0.83-1.03). Any antibiotic prescribing decreased for viral ARTIs (aRR 0.60; 95% CI, 0.51-0.70). CONCLUSIONS: This program reduced antibiotic prescribing during outpatient ARTI visits; broader dissemination may be beneficial.

Social Disadvantage, Access to Care, and Disparities in Physical Functioning Among Children Hospitalized with Respiratory Illness.

BACKGROUND AND OBJECTIVES: Understanding disparities in child health-related quality of life (HRQoL) may reveal opportunities for targeted improvement. This study examined associations between social disadvantage, access to care, and child physical functioning before and after hospitalization for acute respiratory illness. METHODS: From July 1, 2014, to June 30, 2016, children ages 8-16 years and/or caregivers of children 2 weeks to 16 years admitted to five tertiary care children's hospitals for three common respiratory illnesses completed a survey on admission and within 2 to 8 weeks after discharge. Survey items assessed social disadvantage (minority race/ ethnicity, limited English proficiency, low education, and low income), difficulty/delays accessing care, and baseline and follow-up HRQoL physical functioning using the Pediatric Quality of Life Inventory (PedsQL, range 0-100). We examined associations between these three variables at baseline and follow-up using multivariable, mixed-effects linear regression models with multiple imputation sensitivity analyses for missing data. RESULTS: A total of 1,325 patients and/or their caregivers completed both PedsQL assessments. Adjusted mean baseline PedsQL scores were significantly lower for patients with social disadvantage markers, compared with those of patients with none (78.7 for >3 markers versus 85.5 for no markers, difference -6.1 points (95% CI: -8.7, -3.5). The number of social disadvantage markers was not associated with mean follow-up PedsQL scores. Difficulty/delays accessing care were associated with lower PedsQL scores at both time points, but it was not a significant effect modifier between social disadvantage and PedsQL scores. CONCLUSIONS: Having social disadvantage markers or difficulty/delays accessing care was associated with lower baseline physical functioning; however, differences were reduced after hospital discharge.

Vaccination Status and Adherence to Quality Measures for Acute Respiratory Tract Illnesses.

OBJECTIVES: To assess the relationship between vaccination status and clinician adherence to quality measures for children with acute respiratory tract illnesses. METHODS: We conducted a multicenter prospective cohort study of children aged 0 to 16 years who presented with 1 of 4 acute respiratory tract illness diagnoses (community-acquired pneumonia, croup, asthma, and bronchiolitis) between July 2014 and June 2016. The predictor variable was provider-documented up-to-date (UTD) vaccination status. Our primary outcome was clinician adherence to quality measures by using the validated Pediatric Respiratory Illness Measurement System (PRIMES). Across all conditions, we examined overall PRIMES composite scores and overuse (including indicators for care that should not be provided, eg, C-reactive protein testing in community-acquired pneumonia) and underuse (including indicators for care that should be provided, eg, dexamethasone in croup) composite subscores. We examined differences in length of stay, costs, and readmissions by vaccination status using adjusted linear and logistic regression models. RESULTS: Of the 2302 participants included in the analysis, 92% were documented as UTD. The adjusted mean difference in overall PRIMES scores by UTD status was not significant (adjusted mean difference -0.3; 95% confidence interval: -1.9 to 1.3), whereas the adjusted mean difference was significant for both overuse (-4.6; 95% confidence interval: -7.5 to -1.6) and underuse (2.8; 95% confidence interval: 0.9 to 4.8) composite subscores. There were no significant adjusted differences in mean length of stay, cost, and readmissions by vaccination status. CONCLUSIONS: We identified lower adherence to overuse quality indicators and higher adherence to underuse quality indicators for children not UTD, which suggests that clinicians "do more" for hospitalized children who are not UTD.

Identifying Modifiable Health Care Barriers to Improve Health Equity for Hospitalized Children.

BACKGROUND: Children from socially disadvantaged families experience worse hospital outcomes compared with other children. We sought to identify modifiable barriers to care to target for intervention. METHODS: We conducted a prospective cohort study of hospitalized children over 15 months. Caregivers completed a survey within 3 days of admission and 2 to 8 weeks after discharge to assess 10 reported barriers to care related to their interactions within the health care system (eg, not feeling like they have sufficient skills to navigate the system and experiencing marginalization). Associations between barriers and outcomes (30-day readmissions and length of stay) were assessed by using multivariable regression. Barriers associated with worse outcomes were then tested for associations with a cumulative social disadvantage score based on 5 family sociodemographic characteristics (eg, low income). RESULTS: Of eligible families, 61% (n = 3651) completed the admission survey; of those, 48% (n = 1734) completed follow-up. Nine of 10 barriers were associated with at least 1 worse hospital outcome. Of those, 4 were also positively associated with cumulative social disadvantage: perceiving the system as a barrier (adjusted ß = 1.66; 95% confidence interval [CI] 1.02 to 2.30), skill barriers (ß = 3.82; 95% CI 3.22 to 4.43), cultural distance (ß = 1.75; 95% CI 1.36 to 2.15), and marginalization (ß = .71; 95% CI 0.30 to 1.11). Low income had the most consistently strong association with reported barriers. CONCLUSIONS: System barriers, skill barriers, cultural distance, and marginalization were significantly associated with both worse hospital outcomes and social disadvantage, suggesting these are promising targets for intervention to decrease disparities for hospitalized children.

Toward Health Equity: A National Study of Promising Practices in Community-Based Participatory Research.

OBJECTIVES: In the first nationwide study of community- academic research partnerships, we identified contextual and partnership practices that were significantly correlated with successful partnership outcomes guided by a community-based participatory research (CBPR) conceptual model. METHODS: Data collection included three stages: 294 community-engaged research (CEnR) projects in 2009 identified from federally funded grant databases; 200 (68.0%) principal investigators (PI) completed a key informant survey that included measures of power/resource sharing and structural characteristics of projects; 312 (77.2% of invited) community partners and 138 PI (69.0% of invited) responded to a survey including research context, process, and outcome measures. RESULTS: Context and process correlates accounted for 21% to 67% of the variance in the specific outcomes. Seven categories of research partnership practices were positively associated with successful synergy, capacity, and health outcomes: power sharing, partnership capacity, bridging social capital, shared values, community involvement in research, mutuality, and ethical management. CONCLUSIONS: Through empirical testing of an innovative, multidisciplinary CBPR model, key context and process practices were identified that confirm the positive impact of partnership evaluation and self-reflection on research outcomes. Further, these findings provide academic and other key stakeholders with real-world practical recommendations to engage agencies, groups, and individuals who suffer most from inequities and may have unrecognized or indigenous knowledge, experience, and leadership to contribute to health and social research and to the creation of paths to wellness.

Economic Impact of Headache and Psychiatric Comorbidities on Healthcare Expenditures Among Children in the United States: A Retrospective Cross-Sectional Study.

OBJECTIVE: To examine the annual healthcare expenditures associated with childhood headache in the United States, and to evaluate whether psychiatric comorbidities increase the impact of headache on expenditures. BACKGROUND: Headache is prevalent in childhood and co-occurs with anxiety disorders, depressive disorders, and attention deficit/hyperactivity disorder (ADHD), which may increase cost of illness. METHODS: We conducted a secondary data analysis using a nationally representative sample of 34,633 children ages 2-17 from the 2012-2015 Medical Expenditure Panel Surveys (MEPS), of which 779 (weighted 2.6%) were identified as having headache based on health service use associated with headache. Using a comprehensive cost-of-illness approach, we assessed the incremental expenditures associated with headache and determined excess expenditures associated with psychiatric comorbidities using standard adjusted 2-part expenditure models. RESULTS: Annual total healthcare expenditures were estimated to be 24.3% higher, 95% CI [1,55], in our headache group ($3036, 95% CI [2374,3699] vs $2350, 95% CI [2140,2559]). Total national expenditures associated with pediatric headache in the United States were estimated at $1.1 billion annually, 95% CI [.04, 2.2 billion]. Depression and ADHD were associated with higher incremental expenditures for the headache group (depression: $1815, 95% CI[676,2953] vs $1409, 95% CI[697,2112]; ADHD: $4742, 95% CI[1659,7825] vs $2935, 95% CI[1977,3894]); however, interactions between psychiatric comorbidities and headache did not reach statistical significance. CONCLUSION: Youth with headache exert a considerable economic burden on families, healthcare systems, and society. Due to the limitations in methods used to classify youth with headache in MEPS, our findings may underestimate the true prevalence and cost of pediatric headache in the United States. Further research with larger sample sizes is needed to understand the impact of psychiatric comorbidities on healthcare expenditures in this population.

Variabilities in Reference Standard by Radiologists and Performance Assessment in Detection of Pulmonary Embolism in CT Pulmonary Angiography.

Annotating lesion locations by radiologists' manual marking is a key step to provide reference standard for the training and testing of a computer-aided detection system by supervised machine learning. Inter-reader variability is not uncommon in readings even by expert radiologists. This study evaluated the variability of the radiologist-identified pulmonary emboli (PEs) to demonstrate the importance of improving the reliability of the reference standard by a multi-step process for performance evaluation. In an initial reading of 40 CTPA PE cases, two experienced thoracic radiologists independently marked the PE locations. For markings from the two radiologists that did not agree, each radiologist re-read the cases independently to assess the discordant markings. Finally, for markings that still disagreed after the second reading, the two radiologists read together to reach a consensus. The variability of radiologists was evaluated by analyzing the agreement between two radiologists. For the 40 cases, 475 and 514 PEs were identified by radiologists R1 and R2 in the initial independent readings, respectively. For a total of 545 marks by the two radiologists, 81.5% (444/545) of the marks agreed but 101 marks in 36 cases differed. After consensus, 65 (64.4%) and 36 (35.6%) of the 101 marks were determined to be true PEs and false positives (FPs), respectively. Of these, 48 and 17 were false negatives (FNs) and 14 and 22 were FPs by R1 and R2, respectively. Our study demonstrated that there is substantial variability in reference standards provided by radiologists, which impacts the performance assessment of a lesion detection system. Combination of multiple radiologists' readings and consensus is needed to improve the reliability of a reference standard.

Assessment of mammographic breast density after sleeve gastrectomy.

BACKGROUND: Mammographic breast density (BD) is an independent risk factor for breast cancer. The effects of bariatric surgery on BD are unknown. OBJECTIVES: To investigate BD changes after sleeve gastrectomy (SG). SETTING: University hospital, United States. METHODS: Fifty women with mammograms before and after SG performed from 2009 to 2015 were identified after excluding patients with a history of breast cancer, hormone replacement, and/or breast surgery. Patient age, menopausal status, co-morbidities, hemoglobin A1C, and body mass index were collected. Craniocaudal mammographic views before and after SG were interpreted by a blinded radiologist and analyzed by software to obtain breast imaging reporting and data system density categories, breast area, BD, and absolute dense breast area (ADA). Analyses were performed using χ2, McNemar's test, t test, and linear regressions. RESULTS: Radiologist interpretation revealed a significant increase in breast imaging reporting and data system B+C category (68% versus 54%; P = .0095) and BD (9.8 ± 7.4% versus 8.3 ± 6.4%; P = .0006) after SG. Software analyses showed a postoperative decrease in breast area (75,398.9 ± 22,941.2 versus 90,655.9 ± 25,621.0 pixels; P < .0001) and ADA (7287.1 ± 3951.3 versus 8204.6 ± 4769.9 pixels; P = .0314) with no significant change in BD. Reduction in ADA was accentuated in postmenopausal patients. Declining breast area was directly correlated with body mass index reduction (R2 = .4495; P < 0.0001). Changes in breast rather than whole body adiposity better explained ADA reduction. Neither diabetes status nor changes in hemoglobin A1C correlated with changes in ADA. CONCLUSIONS: ADA decreases after SG, particularly in postmenopausal patients. Software-generated ADA may be more accurate than radiologist-estimated BD or breast imaging reporting and data system for capturing changes in dense breast tissue after SG.

Effect on Health Care Costs for Adolescents Receiving Adjunctive Internet-Delivered Cognitive-Behavioral Therapy: Results of a Randomized Controlled Trial.

The economic burden of pediatric chronic pain is high, with an estimated annual cost of $19.5 billion. Little is known about whether psychological treatment for pediatric chronic pain can alter health care utilization for youth. The primary aim of this secondary data analysis was to evaluate the effect of adjunctive internet cognitive-behavioral therapy intervention or adjunctive internet education on health care-related economic costs in a cohort of adolescents with chronic pain recruited from interdisciplinary pain clinics across the United States. For the full sample, health care expenditures significantly decreased from the year before the intervention to the year after the intervention. Results indicated that the rate of change in health care costs over time was not significantly different between the internet cognitive-behavioral therapy intervention and adjunctive internet education groups. Further research is needed to replicate these findings and determine patterns and drivers of health care costs for youth with chronic pain evaluated in interdisciplinary pain clinics and whether psychological treatments can alter these patterns. This trial was registered at clinicaltrials.gov (identifier NCT01316471). PERSPECTIVE: Health care expenditures significantly decreased in youth with chronic pain from the year before initiating treatment to the following year in both intervention conditions, adjunctive internet cognitive-behavioral therapy and adjunctive internet education. Contrary to our hypothesis, the rate of change in health care costs over time was not significantly different between intervention conditions.

Computer-aided assessment of breast density: comparison of supervised deep learning and feature-based statistical learning.

Breast density is one of the most significant factors that is associated with cancer risk. In this study, our purpose was to develop a supervised deep learning approach for automated estimation of percentage density (PD) on digital mammograms (DMs). The input 'for processing' DMs was first log-transformed, enhanced by a multi-resolution preprocessing scheme, and subsampled to a pixel size of 800 µm × 800 µm from 100 µm × 100 µm. A deep convolutional neural network (DCNN) was trained to estimate a probability map of breast density (PMD) by using a domain adaptation resampling method. The PD was estimated as the ratio of the dense area to the breast area based on the PMD. The DCNN approach was compared to a feature-based statistical learning approach. Gray level, texture and morphological features were extracted and a least absolute shrinkage and selection operator was used to combine the features into a feature-based PMD. With approval of the Institutional Review Board, we retrospectively collected a training set of 478 DMs and an independent test set of 183 DMs from patient files in our institution. Two experienced mammography quality standards act radiologists interactively segmented PD as the reference standard. Ten-fold cross-validation was used for model selection and evaluation with the training set. With cross-validation, DCNN obtained a Dice's coefficient (DC) of 0.79 ± 0.13 and Pearson's correlation (r) of 0.97, whereas feature-based learning obtained DC = 0.72 ± 0.18 and r = 0.85. For the independent test set, DCNN achieved DC = 0.76 ± 0.09 and r = 0.94, while feature-based learning achieved DC = 0.62 ± 0.21 and r = 0.75. Our DCNN approach was significantly better and more robust than the feature-based learning approach for automated PD estimation on DMs, demonstrating its potential use for automated density reporting as well as for model-based risk prediction.

A Comprehensive Approach to Pediatric Pneumonia: Relationship Between Standardization, Antimicrobial Stewardship, Clinical Testing, and Cost.

OBJECTIVE: In September 2012, our institution implemented an emergency department (ED) and inpatient pathway for community-acquired pneumonia (CAP) based on national guideline recommendations. The objective of this study was to determine the relationship between standardizing ED and inpatient care for CAP and antimicrobial stewardship, clinical testing, and cost. METHODS: We used descriptive statistics, statistical process control, and interrupted time series analysis to analyze measures 12 months before and after implementation. RESULTS: Six hundred thirty-two patients were included. We found an immediate sustained increase in narrow-spectrum antibiotic (ampicillin) use from a baseline of 8-54%. There was a shift toward more guideline-recommended diagnostic testing with an increase in blood cultures and respiratory viral testing among admitted patients (35-63% and 52-84%, respectively). We identified no significant change in ED chest radiography use, mean ED length of stay (LOS), percentage of CAP admissions, or mean inpatient LOS. Costs of care for admitted patients and for patients discharged from the ED were unchanged. CONCLUSIONS: Standardizing care for ED and inpatient management of CAP led to immediate and sustained improvements in antimicrobial stewardship and guideline-recommended testing without significantly affecting costs.

Modification of an Established Pediatric Asthma Pathway Improves Evidence-Based, Efficient Care.

OBJECTIVE: In September 2011, an established pediatric asthma pathway at a tertiary care children's hospital underwent significant revision. Modifications included simplification of the visual layout, addition of evidence-based recommendations regarding medication use, and implementation of standardized admission criteria. The objective of this study was to determine the impact of the modified asthma pathway on pathway adherence, percentage of patients receiving evidence-based care, length of stay, and cost. METHODS: Cases were identified by using International Classification of Diseases, Ninth Revision, Clinical Modification diagnosis codes. Data were analyzed for 24 months before and after pathway modification. Statistical process control was used to examine changes in processes of care, and interrupted time series was used to examine outcome measures, including length of stay and cost in the premodification and postmodification periods. RESULTS: A total of 5584 patients were included (2928 premodification; 2656 postmodification). Pathway adherence was high (79%-88%) throughout the study period. The percentage of patients receiving evidence-based care improved after pathway modification, and the results were sustained for 2 years. There was also improved efficiency, with a 30-minute (10%) decrease in emergency department length of stay for patients admitted with asthma (P = .006). There was a nominal (<10%) increase in costs of asthma care for patients in the emergency department (P = .04) and no change for those admitted to the hospital. CONCLUSIONS: Modification of an existing pediatric asthma pathway led to sustained improvement in provision of evidence-based care and patient flow without adversely affecting costs. Our results suggest that continuous re-evaluation of established clinical pathways can lead to changes in provider practices and improvements in patient care.