The relationship between trust in federal oversight of vaccine safety and willingness to participate in COVID-19 clinical trials: a repeated measures study of Philadelphia residents (September 2021 - March 2023).

BACKGROUND: The Coronavirus Disease 2019 (COVID-19) pandemic precipitated an urgent need for clinical trials to discover safe and efficacious treatments. We examined how COVID-19 experiences, clinical trial awareness, and trust in the vaccine safety process were associated with willingness to participate in COVID-19 clinical trials. The objective was to investigate the relationship between trust in federal oversight of vaccine safety and willingness to participate in clinical trials for COVID-19 treatment across four distinct time points over an 18-month period during the COVID-19 pandemic. METHODS: We used four waves of data collected from September 2021 to March 2023 among 582 Philadelphia residents (with a missing data rate of 0.9%). Generalized estimating equations estimated the association between willingness to participate in COVID-19 clinical trials and participants' trust in the federal government's oversight of COVID-19 vaccine safety, COVID-19-related variables (COVID-19 related health challenges, history of COVID-19 infection), awareness of clinical trials and how to enroll in them, and sociodemographic characteristics (age, race/ethnicity, sexual orientation, gender, parental status, education, and insurance). RESULTS: On average, willingness to participate in a COVID-19 clinical trial was positively associated with greater trust in the federal government's oversight of vaccine safety [ß = 0.34, 95% confidence interval (CI): 0.15-0.53], having COVID-19 (ß = 0.40, 95% CI: 0.08-0.73), awareness of clinical trials (ß = 0.38, 95% CI: 0.04-0.73), and knowledge of how to enroll (ß = 0.83, 95% CI: 0.44-1.23). Among sociodemographic characteristics, race/ethnicity (p = 0.001) and gender (p = 0.018) were identified as predictors for COVID-19 trial willingness. CONCLUSION: Willingness to participate in clinical trials may be bolstered by strengthening the public's trust in the federal government's role within vaccine safety oversight, increasing the perceived relevance of clinical trials to individuals' health and well-being, and offering tailored information to educate diverse communities about ongoing trials and how to enroll in them.

Long-Term POTS Outcomes Survey: Diagnosis, Therapy, and Clinical Outcomes.

BACKGROUND: Limited data exist on long-term outcomes in individuals with postural orthostatic tachycardia syndrome (POTS). We designed an electronic questionnaire assessing various aspects of outcomes among patients diagnosed and treated in a single-center pediatric POTS clinical program. METHODS AND RESULTS: The LT-POTS (Long Term POTS Outcomes Survey) included questions about quality of life, symptoms, therapies, education, employment, and social impact of disease. Patients age≤18 years at POTS diagnosis who were managed in the Children's Hospital of Philadelphia POTS Program were included. A total of 227 patients with POTS responded with sufficient data for interpretation. The mean age of respondents was 21.8±3.5 years. The median age of symptom onset was 13 (interquartile range 11-14) years, with mean 9.6±3.4 years symptom duration. Multiple cardiovascular, neurologic, and gastrointestinal symptoms were reported. Symptom prevalence and severity were worse for female patients, with 99% of patients reporting ongoing symptoms. Quality of life showed moderate function and limitation, with more severe limitations in energy/fatigue and general health. Nearly three quarters of patients had diagnostic delays, and over half were told that their symptoms were "in their head." Multiple medications were used and were felt to be effective, whereas fewer nonpharmacologic interventions demonstrated efficacy. Nearly 90% of patients required continued nonpharmacologic therapy to control symptoms. CONCLUSIONS: POTS is a chronic disorder leading to significant disability with a range of multisystem problems. Although symptoms can be modifiable, it rarely spontaneously resolves. Improved understanding of POTS presentation and therapeutic approaches may inform provider education, improve diagnostic success, and help patients self-advocate for appropriate medical management approaches.

A Nursing Clinical Care Services Platform to Support Leadership Decision Making.

Like most organizations, The Children's Hospital of Philadelphia (CHOP) generates a lot of data of varying types, from clinical to staffing and operations. However, these datasets are separated, preventing effective analytics. To improve workforce management and care delivery, CHOP's Nursing department collaborated with the Data & Analytics team to create a dashboard-based platform for analyzing workforce metrics and patient outcomes, aiding nursing leaders in decision-making. This project involved multiple phases with contributions from Nursing, Data & Analytics, CHOP's Data Trust Office, and Human Resources. Key performance indicators were identified, and a variety of data sources were aggregated to provide a comprehensive view of the nursing enterprise. The resulting platform offers automated, current, and reliable analytics on various aspects, including nursing demographics, education, survey results, staffing actuals by job group, and patient and family experience data. The platform's usability was assessed using a modified Health Information Technology Usability Evaluation Scale survey, with a 29% response rate primarily from senior directors and managers. The findings showed high usability and satisfaction, indicating the dashboard is a valuable decision-support tool. Lessons learned include the need for analytics education for nurses and mid-managers, the inclusion of critical nursing-specific metrics (and development of the data pipelines making them possible), and the integration of multidisciplinary team metrics for comprehensive nursing analytics.

Challenging Pennsylvania's Firearm Preemption Law as a Public Health Danger: The Case of Philadelphia.

Firearm violence has soared in American cities, but most states statutorily preempt municipal firearm regulation. This article describes a unique collaboration in Philadelphia among elected officials, public health researchers, and attorneys that has led to litigation based on original quantitative analyses and grounded in innovative constitutional theories and statutory interpretation.

Factors associated with the COVID-19 booster vaccine intentions of young adults in the United States.

Young adults experience high coronavirus disease 2019 (COVID-19) incidence yet have the lowest vaccination and booster rates among adults. Understanding the factors influencing their intentions regarding boosters is essential for crafting effective public health strategies. We examined the psychosocial factors (attitudes, norms, perceived behavioral control) associated with their intentions to receive a COVID-19 booster. This cross-sectional study included 292 young adults aged 18-25 residing in Philadelphia who completed an online survey from September 2021 and February 2022 (mean age 21.98, standard deviation 2.25; 51% racial/ethnic minorities). The survey included measures of attitudes, norms, and perceived behavioral control related to COVID-19 vaccination. We employed structural equation modeling analysis to examine the intention of young adults to receive the COVID-19 booster and their vaccine-related attitudes, norms, and perceived behavioral control. Covariates included race/ethnicity and gender. Subjective norms were significantly associated with the intention to receive a COVID-19 booster (standardized ß̂ = 0.685, p = .018). Attitudes and perceived behavioral control showed no significant association with intention. Subgroup analyses based on race/ethnicity revealed that attitudes (standardized ß̂ = 0.488, p = .004) and subjective norms (standardized ß̂ = 0.451, p = .050) were predictors among young adults from racial and ethnic minority backgrounds, while only subjective norms (standardized ß̂ = 1.104, p = .002) were significant for non-Hispanic White young adults. Public health efforts should prioritize engaging healthcare providers and peer groups in order to influence subjective norms and promote collective responsibility and acceptance for vaccination. Tailored interventions and diverse communication strategies targeting specific subgroups of young adults may be useful to ensure comprehensive and effective vaccination initiatives.

Automated cooling tower detection through deep learning for Legionnaires' disease outbreak investigations: a model development and validation study.

BACKGROUND: Cooling towers containing Legionella spp are a high-risk source of Legionnaires' disease outbreaks. Manually locating cooling towers from aerial imagery during outbreak investigations requires expertise, is labour intensive, and can be prone to errors. We aimed to train a deep learning computer vision model to automatically detect cooling towers that are aerially visible. METHODS: Between Jan 1 and 31, 2021, we extracted satellite view images of Philadelphia (PN, USA) and New York state (NY, USA) from Google Maps and annotated cooling towers to create training datasets. We augmented training data with synthetic data and model-assisted labelling of additional cities. Using 2051 images containing 7292 cooling towers, we trained a two-stage model using YOLOv5, a model that detects objects in images, and EfficientNet-b5, a model that classifies images. We assessed the primary outcomes of sensitivity and positive predictive value (PPV) of the model against manual labelling on test datasets of 548 images, including from two cities not seen in training (Boston [MA, USA] and Athens [GA, USA]). We compared the search speed of the model with that of manual searching by four epidemiologists. FINDINGS: The model identified visible cooling towers with 95·1% sensitivity (95% CI 94·0-96·1) and a PPV of 90·1% (95% CI 90·0-90·2) in New York City and Philadelphia. In Boston, sensitivity was 91·6% (89·2-93·7) and PPV was 80·8% (80·5-81·2). In Athens, sensitivity was 86·9% (75·8-94·2) and PPV was 85·5% (84·2-86·7). For an area of New York City encompassing 45 blocks (0·26 square miles), the model searched more than 600 times faster (7·6 s; 351 potential cooling towers identified) than did human investigators (mean 83·75 min [SD 29·5]; mean 310·8 cooling towers [42·2]). INTERPRETATION: The model could be used to accelerate investigation and source control during outbreaks of Legionnaires' disease through the identification of cooling towers from aerial imagery, potentially preventing additional disease spread. The model has already been used by public health teams for outbreak investigations and to initialise cooling tower registries, which are considered best practice for preventing and responding to outbreaks of Legionnaires' disease. FUNDING: None.

The Mobile Overdose Response Program: A mobile, low-threshold opioid use disorder treatment model in Philadelphia.

INTRODUCTION: Low-threshold substance use treatment programs may help overcome barriers for marginalized individuals. The aims of this study were to 1) describe participant characteristics and treatment outcomes for a multi-site, Philadelphia-based mobile program providing street-based buprenorphine initiation, stabilization, and referral to ongoing care and 2) examine associations between patient characteristics and successful linkage. METHODS: We conducted a retrospective cohort study of patients receiving buprenorphine through Prevention Point Philadelphia's mobile overdose response program from 9/2020-12/2021. We abstracted electronic medical record data, including patient characteristics, mobile program treatment, and care linkage. We used descriptive statistics to characterize the sample and assessed the association between patient characteristics and successful care linkage using multi-variable logistic regression. RESULTS: Two hundred thirty-seven patients initiated buprenorphine in the program across six sites. Mean age was 46. Participants were majority men (67 %); 59 % identified as Black, 33 % identified as White, and 15 % reported Hispanic ethnicity. Most were publicly insured (74 %) and 30 % were unstably housed. Basedline engagement in primary care (32 %), psychiatric treatment (5 %), and counseling (2 %) were low. Most participants reported heroin or fentanyl use at intake (87 %), with high rates of IV drug use (37 %)., and co-occurring substance use and prior buprenorphine treatment experience were common.. 86 % completed ≥1 mobile follow-up visit, and 69 % completed ≥4 mobile program visits. 51 % of patients attended at least one visit at an outside site, and 30 % had ≥2 visits for buprenorphine prescriptions at an outside site. 35 % of the referrals were internal, meaning they went to University-based practices staffed by the mobile unit physicians. In a multivariable logistic regression model, internal referral was associated with significantly increased odds of effective care linkage (aOR 2.47, 95 % CI 1.20-5.09). CONCLUSIONS: Targeted community outreach with low-threshold substance use care facilitated treatment access among marginalized individuals. Participants showed high levels of engagement with the mobile program, but rates of outside care linkage, while comparable to retention in other low-threshold models, were lower. The only predictor of effective care linkage was referral to brick-and-mortar clinics staffed by mobile unit physicians. These findings support the importance of outreach beyond traditional health care settings to engage high-risk patients with OUD.

Factors Associated With Perinatal Hepatitis C Screening Among Exposed Children: 2016-2020.

BACKGROUND AND OBJECTIVES: Children perinatally exposed to hepatitis C virus (HCV) should be screened for infection, yet testing rates are low. Clinical perinatal HCV testing recommendations vary and may contribute to poor completion. This study examines pediatric care factors associated with perinatal HCV testing completion. METHODS: A cohort of people living with HCV in Philadelphia, Pennsylvania, who delivered a live birth in 2016 to 2020 and their children were followed by the Philadelphia Department of Public Health. The association of completion of HCV screening with pregnant/postpartum person demographics, pediatric care factors, and testing policy were retrospectively explored. χ2 and multivariable logistic regressions were used. RESULTS: HCV-positive pregnant people gave birth to 457 children of whom 307 (67.2%) were tested for HCV according to recommendations and 79 (17.2%) were inadequately tested. Children were more likely to be tested if born to a pregnant person with HIV coinfection (P = .007), if they were always on schedule for vaccinations (P < .001), and if they attended the 18-month well visit (P < .001). Completion rates varied significantly by pediatrician's testing policy: 90.9% tested if the policy was for 2 months, 79.6% if 2 to 12 months, 61.9% if 12 months, and 58.5% if 18 months of age (P < .001). CONCLUSIONS: Timing of perinatal HCV testing policies was significantly associated with testing completion rates. Testing at 2 months was associated with far better HCV testing completion than other strategies, regardless of birthing person and pediatrician factors. These findings suggest routine HCV testing of children perinatally exposed to HCV is best achieved in the first year of life.

Psychosocial correlates of parents' willingness to vaccinate their children against COVID-19.

BACKGROUND: Public health guidance recommended that children who are 6 months or older be vaccinated against COVID-19 in June of 2022. In the U.S., 56% of children under 17 had not received the COVID-19 vaccination in 2023. We examine parents' willingness to vaccinate their children against COVID-19 using the theory of planned behavior in order to design effective strategies to promote vaccine uptake. METHODS: The Philadelphia Community Engagement Alliance is part of an NIH community-engaged consortium focused on addressing COVID-19 disparities across the U.S. We surveyed 1,008 Philadelphia parents (mean age 36.86, SD 6.55; 42.3% racial/ethnic minorities) between September 2021 and February 2022, a period when guidance for child vaccination was anticipated. Structural Equation Modeling analysis examined associations between parental willingness and vaccine-related attitudes, norms, and perceived control. Covariates included parents' COVID-19 vaccination status, race/ethnicity, gender, and survey completion post-CDC pediatric COVID-19 vaccination guidelines. Subgroup analyses by race/ethnicity and gender were conducted. RESULTS: Our model demonstrated good fit (χ2 = 907.37, df = 419, p<0.001; comparative fit index [CFI] = 0.951; non-normed fit index [NNFI] = 0.946; root mean square error of approximation [RMSEA] = 0.034 with 95% CI = 0.030-0.038). Attitudes ([Formula: see text] = 0.447, p<0.001) and subjective norms ([Formula: see text] = 0.309, p = 0.002) were predictors of intention. Racial/ethnic minority parents exhibited weaker vaccination intentions ([Formula: see text] = -0.053, p = 0.028) than non-Hispanic White parents. CONCLUSIONS: Parents' attitudes and norms influence their vaccination intentions. Despite the survey predating widespread child vaccine availability, findings are pertinent given the need to increase and sustain pediatric vaccinations against COVID-19. Interventions promoting positive vaccine attitudes and prosocial norms are warranted. Tailored interventions and diverse communication strategies for parental subgroups may be useful to ensure comprehensive and effective vaccination initiatives.

Charting a Path to the Quintuple Aim: Harnessing AI to Address Social Determinants of Health.

The Quintuple Aim seeks to improve healthcare by addressing social determinants of health (SDOHs), which are responsible for 70-80% of medical outcomes. SDOH-related concerns have traditionally been addressed through referrals to social workers and community-based organizations (CBOs), but these pathways have had limited success in connecting patients with resources. Given that health inequity is expected to cost the United States nearly USD 300 billion by 2050, new artificial intelligence (AI) technology may aid providers in addressing SDOH. In this commentary, we present our experience with using ChatGPT to obtain SDOH management recommendations for archetypal patients in Philadelphia, PA. ChatGPT identified relevant SDOH resources and provided contact information for local organizations. Future exploration could improve AI prompts and integrate AI into electronic medical records to provide healthcare providers with real-time SDOH recommendations during appointments.

The path from mood symptoms to substance use: A longitudinal examination in individuals with and at risk for bipolar spectrum disorders.

BACKGROUND: Adolescent substance use poses a critical public health challenge, intertwined with risk-taking behavior, criminality, functional impairment, and comorbid mental and physical health issues. Adolescents with bipolar spectrum disorders (BSD) exhibit heightened susceptibility to substance use, necessitating a nuanced exploration of the bipolar-substance use relationship. METHODS: This study addressed gaps in the literature by employing a prospective, longitudinal design with 443 Philadelphia-area adolescents, tracking BSD symptoms and substance use. We predicted that BSD symptoms would be associated with increases in substance use, and that these effects would be more pronounced for individuals with a BSD and those with high reward sensitivity. RESULTS: Hypomanic symptoms predicted subsequent substance use, with a stronger association observed in individuals diagnosed with BSD. Contrary to expectations, depressive symptoms did not exhibit a similar relationship. Although the hypothesized moderating role of reward sensitivity was not supported, higher reward sensitivity predicted increased substance use. LIMITATIONS: Symptoms and substance use are only captured for the month prior to each session due to the assessment timeline. This highlights the benefits of frequent assessments over a shorter time frame to monitor real-time changes. Alternative classification methods for reward sensitivity, such as brain or behavior-based assessments, might yield different results. CONCLUSIONS: This study's contributions include evaluating substance use broadly, utilizing a longitudinal design for temporal clarity, and shifting the focus from substance use predicting mood symptoms to the inverse. The findings underscore the need for continued exploration of mood symptom predictors of substance use, emphasizing the role of reward sensitivity.

Philadelphia Latine Immigrant Birthing People's Perspectives on Mitigating the Chilling Effect on Prenatal Care Utilization.

RESEARCH DESIGN: Community-engaged qualitative study using inductive thematic analysis of semistructured interviews. OBJECTIVE: To understand Latine immigrants' recent prenatal care experiences and develop community-informed strategies to mitigate policy-related chilling effects on prenatal care utilization. BACKGROUND: Decreased health care utilization among immigrants due to punitive immigration policies (ie, the "chilling effect") has been well-documented among Latine birthing people both pre and postnatally. PATIENTS AND METHODS: Currently or recently pregnant immigrant Latine people in greater Philadelphia were recruited from an obstetric clinic, 2 pediatric primary care clinics, and 2 community-based organization client pools. Thematic saturation was achieved with 24 people. Participants' pregnancy narratives and their perspectives on how health care providers and systems could make prenatal care feel safer and more comfortable for immigrants. RESULTS: Participants' recommendations for mitigating the chilling effect during the prenatal period included training prenatal health care providers to sensitively initiate discussions about immigrants' rights and reaffirm confidentiality around immigration status. Participants suggested that health care systems should expand sources of information for pregnant immigrants, either by partnering with community organizations to disseminate information or by increasing access to trusted individuals knowledgeable about immigrants' rights to health care. Participants also suggested training non-medical office staff in the use of interpreters. CONCLUSION: Immigrant Latine pregnant and birthing people in greater Philadelphia described ongoing fear and confusion regarding the utilization of prenatal care, as well as experiences of discrimination. Participants' suggestions for mitigating immigration-related chilling effects can be translated into potential policy and programmatic interventions which could be implemented locally and evaluated for broader applicability.

Comparison of Sales From Vending Machines With 4 Different Food and Beverage Messages: A Randomized Trial.

Importance: Point-of-sale food messaging can encourage healthier purchases, but no studies have directly compared multiple interventions in the field. Objective: To examine which of 4 food and beverage messages would increase healthier vending machine purchases. Design, Setting, and Participants: This randomized trial assessed 13 months (February 1, 2019, to February 29, 2020) of vending sales data from 267 machines and 1065 customer purchase assessments from vending machines on government property in Philadelphia, Pennsylvania. Data analysis was performed from March 5, 2020, to November 8, 2022. Interventions: Study interventions were 4 food and beverage messaging systems: (1) beverage tax posters encouraging healthy choices because of the Philadelphia tax on sweetened drinks; (2) green labels for healthy products; (3) traffic light labels: green (healthy), yellow (moderately healthy), or red (unhealthy); or (4) physical activity equivalent labels (minutes of activity to metabolize product calories). Main Outcomes and Measures: Sales data were analyzed separately for beverages and snacks. The main outcomes analyzed at the transaction level were calories sold and the health status (using traffic light criteria) of each item sold. Additional outcomes were analyzed at the monthly machine level: total units sold, calories sold, and units of each health status sold. The customer purchase assessment outcome was calories purchased per vending trip. Results: Monthly sales data came from 150 beverage and 117 snack vending machines, whereas 1065 customers (558 [52%] male) contributed purchase assessment data. Traffic light labels led to a 30% decrease in the mean monthly number of unhealthy beverages sold (mean ratio [MR], 0.70; 95% CI, 0.55-0.88) compared with beverage tax posters. Physical activity labels led to a 34% (MR, 0.66; 95% CI, 0.51-0.87) reduction in the number of unhealthy beverages sold at the machine level and 35% (MR, 0.65; 95% CI, 0.50-0.86) reduction in mean calories sold. Traffic light labels also led to a 30-calorie reduction (b = -30.46; 95% CI, -49.36 to -11.56) per customer trip in the customer purchase analyses compared to physical activity labels. There were very few significant differences for snack machines. Conclusions and Relevance: In this 13-month randomized trial of 267 vending machines, the traffic light and physical activity labels encouraged healthier beverage purchases, but no change in snack sales, compared with a beverage tax poster. Corporations and governments should consider such labeling approaches to promote healthier beverage choices. Trial Registration: ClinicalTrials.gov Identifier: NCT06260176.

Developing and Validating the Preschool Nutrition Education Practices Survey.

OBJECTIVE: Validate the Preschool Nutrition Education Practices Survey. DESIGN: Iterative approach combining design-based research and Standards for Educational and Psychological Testing. SETTING: Los Angeles, CA and Philadelphia, PA Early Care and Education (ECE) classrooms. PARTICIPANTS: Expert panel members (n = 7); ECE teachers: interviews (n = 8), pilot survey (n = 31), and final survey (n = 136). VARIABLES MEASURED: Early care and education nutrition education practices used in the classroom either during class time or mealtime. ANALYSIS: Qualitative content analysis was implemented for content, response process, and consequences of testing validity evidence. Rasch rating scale analysis was conducted for the response process and internal structure validity and reliability evidence. RESULTS: Qualitative field-testing produced strong content, response process, and consequences of testing validity evidence to inform survey modifications. Quantitative field-testing generated a psychometrically sound, well-targeted 12-item survey on a 4-point frequency scale with excellent item and person reliability (0.97 and 0.93 respectively) and separation (5.36 and 3.77 respectively); good Rasch Principal Components Analysis findings (60.3%); and productive item fit statistics (0.50-1.50 logits). CONCLUSIONS AND IMPLICATIONS: Robust validity (content, response process, consequences of testing, internal structure) and reliability evidence were demonstrated for using the Preschool Nutrition Education Practices Survey to assess ECE teachers' use of nutrition education practices. Future research is needed to examine its relationship to other variables, such as nutrition teaching efficacy, and to determine its ability to detect change in ECE nutrition education practices over time and across groups.

Code Crimson: A Postpartum Hemorrhage Bundled Intervention Quality Improvement Project.

BACKGROUND: Postpartum hemorrhage (PPH) is a leading cause of maternity mortality in the United States. The Code Crimson project aimed to enhance PPH management by implementing a standardized intervention bundle to mitigate morbidity and mortality associated with PPH. LOCAL PROBLEM: At a large Philadelphia tertiary hospital, health disparities existed for severe maternal morbidity and mortality, and PPH was a significant factor. METHODS: A quality improvement design, using Plan-Do-Study-Act cycles and interrupted time series analysis, was undertaken. INTERVENTIONS: The Code Crimson project implemented a standardized bundle to manage PPH, including blood product administration and massive transfusion protocol activation. RESULTS: After implementing the Code Crimson bundle, there was a significant decrease in blood product use ( P < .001), with minor reductions in packed red blood cell administration over 4 units and mean blood loss. CONCLUSIONS: The Code Crimson bundle effectively reduced blood product utilization for PPH treatment.

Incorporating clinician insight and care plans into an audit and feedback initiative for antipsychotic prescribing to Medicaid-enrolled youth in Philadelphia.

BACKGROUND: Audit and feedback (A/F), which include initiatives like report cards, have an inconsistent impact on clinicians' prescribing behavior. This may be attributable to their focus on aggregate prescribing measures, a one-size-fits-all approach, and the fact that A/F initiatives rarely engage with the clinicians they target. METHODS: In this study, we describe the development and delivery of a report card that summarized antipsychotic prescribing to publicly-insured youth in Philadelphia, which was introduced by a Medicaid managed care organization in 2020. In addition to measuring aggregate prescribing behavior, the report card included different elements of care plans, including whether youth were receiving polypharmacy, proper medication management, and the concurrent use of behavioral health outpatient services. The A/F initiative elicited feedback from clinicians, which we refer to as an "audit and feedback loop." We also evaluate the impact of the report card by comparing pre-post differences in prescribing measures for clinicians who received the report card with a group of clinicians who did not receive the report card. RESULTS: Report cards indicated that many youth who were prescribed antipsychotics were not receiving proper medication management or using behavioral health outpatient services alongside the antipsychotic prescription, but that polypharmacy was rare. In their feedback, clinicians who received report cards cited several challenges related to antipsychotic prescribing, such as the logistical difficulties of entering lab orders and family members' hesitancy to change care plans. The impact of the report card was mixed: there was a modest reduction in the share of youth receiving polypharmacy following the receipt of the report card, while other measures did not change. However, we documented a large reduction in the number of youth with one or more antipsychotic prescription fill among clinicians who received a report card. CONCLUSIONS: A/F initiatives are a common approach to improving the quality of care, and often target specific practices such as antipsychotic prescribing. Report cards are a low-cost and feasible intervention but there is room for quality improvement, such as adding measures that track medication management or eliciting feedback from clinicians who receive report cards. To ensure that the benefits of antipsychotic prescribing outweigh its risks, it is important to promote quality and safety of antipsychotic prescribing within a broader care plan.

Public health framing of firearm violence on local television news in Philadelphia, PA, USA: a quantitative content analysis.

BACKGROUND: Firearm violence is an intensifying public health problem in the United States. News reports shape the way the public and policy makers understand and respond to health threats, including firearm violence. To better understand how firearm violence is communicated to the public, we aimed to determine the extent to which firearm violence is framed as a public health problem on television news and to measure harmful news content as identified by firearm-injured people. METHODS: This is a quantitative content analysis of Philadelphia local television news stories about firearm violence using a database of 7,497 clips. We compiled a stratified sample of clips aired on two randomly selected days/month from January-June 2021 from the database (n = 192 clips). We created a codebook to measure public health frame elements and to assign a harmful content score for each story and then coded the clips. Characteristics of stories containing episodic frames that focus on single shooting events were compared to clips with thematic frames that include broader social context for violence. RESULTS: Most clips employed episodic frames (79.2%), presented law enforcement officials as primary narrators (50.5%), and included police imagery (79.2%). A total of 433 firearm-injured people were mentioned, with a mean of 2.8 individuals shot included in each story. Most of the firearm-injured people featured in the clips (67.4%) had no personal information presented apart from age and/or gender. The majority of clips (84.4%) contained at least one harmful content element. The mean harmful content score/clip was 2.6. Public health frame elements, including epidemiologic context, root causes, public health narrators and visuals, and solutions were missing from most clips. Thematic stories contained significantly more public health frame elements and less harmful content compared to episodic stories. CONCLUSIONS: Local television news produces limited public health coverage of firearm violence, and harmful content is common. This reporting likely compounds trauma experienced by firearm-injured people and could impede support for effective public health responses to firearm violence. Journalists should work to minimize harmful news content and adopt a public health approach to reporting on firearm violence.

Racial and Ethnic Disparity in Approach for Pediatric Intensive Care Unit Research Participation.

Importance: While disparities in consent rates for research have been reported in multiple adult and pediatric settings, limited data informing enrollment in pediatric intensive care unit (PICU) research are available. Acute care settings such as the PICU present unique challenges for study enrollment, given the highly stressful and emotional environment for caregivers and the time-sensitive nature of the studies. Objective: To determine whether race and ethnicity, language, religion, and Social Deprivation Index (SDI) were associated with disparate approach and consent rates in PICU research. Design, Setting, and Participants: This retrospective cohort study was performed at the Children's Hospital of Philadelphia PICU between July 1, 2011, and December 31, 2021. Participants included patients eligible for studies requiring prospective consent. Data were analyzed from February 2 to July 26, 2022. Exposure: Exposures included race and ethnicity (Black, Hispanic, White, and other), language (Arabic, English, Spanish, and other), religion (Christian, Jewish, Muslim, none, and other), and SDI (composite of multiple socioeconomic indicators). Main Outcomes and Measures: Multivariable regressions separately tested associations between the 4 exposures (race and ethnicity, language, religion, and SDI) and 3 outcomes (rates of approach among eligible patients, consent among eligible patients, and consent among those approached). The degree to which reduced rates of approach mediated the association between lower consent in Black children was also assessed. Results: Of 3154 children included in the study (median age, 6 [IQR, 1.9-12.5] years; 1691 [53.6%] male), rates of approach and consent were lower for Black and Hispanic families and those of other races, speakers of Arabic and other languages, Muslim families, and those with worse SDI. Among children approached for research, lower consent odds persisted for those of Black race (unadjusted odds ratio [OR], 0.73 [95% CI, 0.55-0.97]; adjusted OR, 0.68 [95% CI, 0.49-0.93]) relative to White race. Mediation analysis revealed that 51.0% (95% CI, 11.8%-90.2%) of the reduced odds of consent for Black individuals was mediated by lower probability of approach. Conclusions and Relevance: In this cohort study of consent rates for PICU research, multiple sociodemographic factors were associated with lower rates of consent, partly attributable to disparate rates of approach. These findings suggest opportunities for reducing disparities in PICU research participation.

Understanding perceived park access and physical activity among older adults: A structural equation modeling approach.

Parks can provide a low-cost setting for safe physical activity, but older adults are underrepresented among park users in the United States. Using data from a population-representative survey in 2015 and 2018 among adults aged 60 years and older living in Philadelphia, we tested whether perceived access was a mechanism by which objectively-measured park access predicted self-reported physical activity. After controlling for individual-level factors and neighborhood characteristics, we found a statistically significant pathway from overall park area and within-park tree canopy to increased physical activity, mediated by perceived park access. These results highlight the importance of tree canopy for older adult park access and physical activity.