A Pilot Study to Evaluate the Use of Automated Nicotine Metabolite Ratio Reporting within Primary Care as an Implementation Strategy to Increase the Use of Tobacco Treatments.

INTRODUCTION: Concerns about safety and effectiveness of tobacco treatments reduce their use. We explored integrating the nicotine metabolite ratio (NMR), and messaging about its potential for improving safety and effectiveness, as a strategy to increase use of tobacco treatments within primary care. METHODS: Through a prospective cohort design, we explored the effects of integrating NMR testing within primary care on the provision of tobacco treatment; 65 patients completed assessments including NMR before a clinic visit. At the clinic visit, patients' clinicians received an electronic health record alert about the patient's NMR and personalized treatment recommendations to improve effectiveness and safety. Being asked about smoking and advised to quit, and a referral for tobacco treatment or medication prescription, were assessed within 30 days of the appointment and were compared to a usual care cohort (N=85). RESULTS: The NMR and usual care cohorts reported similar rates of being asked about smoking (92.3% vs. 92.9%, p=1.0), being advised to quit (72.3% vs. 74.1%, p=0.85), being referred for tobacco treatment (23.1% vs. 36.5%, p=0.11), and receiving tobacco use medications (20% vs. 27.1%, p=0.34). In the NMR cohort, fast vs. slow metabolizers were more likely to receive medication (26% vs. 0%, p=0.003) and all patients who received varenicline (n=8) were fast metabolizers. CONCLUSIONS: NMR results and treatment recommendations did not increase tobacco treatment rates in primary care, although it may increase treatment rates and use of varenicline for fast metabolizers. Future studies could test ways to use the NMR to increase tobacco treatment rates in clinical settings. IMPLICATIONS: This study generated a novel implementation strategy, namely an electronic health record alert about patients' NMR and personalized treatment recommendations, in an effort to increase tobacco treatment rates in primary care. While the strategy did not increase tobacco treatment rates, it may have boosted the rate of varenicline prescription for patients who metabolize nicotine faster, aligning with evidence-based practice.

Asking the Right Questions About Secondhand Smoke.

INTRODUCTION: Despite knowledge about major health effects of secondhand tobacco smoke (SHS) exposure, systematic incorporation of SHS screening and counseling in clinical settings has not occurred. METHODS: A three-round modified Delphi Panel of tobacco control experts was convened to build consensus on the screening questions that should be asked and identify opportunities and barriers to SHS exposure screening and counseling. The panel considered four questions: (1) what questions should be asked about SHS exposure; (2) what are the top priorities to advance the goal of ensuring that these questions are asked; (3) what are the barriers to achieving these goals; and (4) how might these barriers be overcome. Each panel member submitted answers to the questions. Responses were summarized and successive rounds were reviewed by panel members for consolidation and prioritization. RESULTS: Panelists agreed that both adults and children should be screened during clinical encounters by asking if they are exposed or have ever been exposed to smoke from any tobacco products in their usual environment. The panel found that consistent clinician training, quality measurement or other accountability, and policy and electronic health records interventions were needed to successfully implement consistent screening. CONCLUSIONS: The panel successfully generated screening questions and identified priorities to improve SHS exposure screening. Policy interventions and stakeholder engagement are needed to overcome barriers to implementing effective SHS screening. IMPLICATIONS: In a modified Delphi panel, tobacco control and clinical prevention experts agreed that all adults and children should be screened during clinical encounters by asking if they are exposed or have ever been exposed to smoke from tobacco products. Consistent training, accountability, and policy and electronic health records interventions are needed to implement consistent screening. Increasing SHS screening will have a significant impact on public health and costs.

What is new in electronic-cigarettes research?

PURPOSE OF REVIEW: Electronic cigarettes (e-cigarettes) and other vaping devices have seen extraordinary growth in use in the past 10 years, and companies are accelerating their development of new products and marketing efforts. In turn, researchers have increased their efforts to determine how e-cigarettes affect health, how marketing these products impacts adolescents and how the use of e-cigarettes may affect adolescents' use of other tobacco products. Products like Juul were not on the market 2 years ago; thus, frequent updates on the topic are essential. RECENT FINDINGS: Studies have begun to demonstrate that users of the newer pod systems are exposed to high levels of nicotine, as well as other chemicals. These products are highly marketed, with a strong emphasis on how adolescents can use them surreptitiously. This is concerning to researchers, and other studies have continued to demonstrate that teens who use e-cigarettes are more likely to go on to use combusted tobacco. Further research has also failed to demonstrate that e-cigarettes are useful for people wishing to quit smoking combusted tobacco. SUMMARY: E-cigarettes and vaping systems are not safe products and should not be used by adolescents.

Using Digital Technology to Engage and Communicate with Patients: A Survey of Patient Attitudes.

BACKGROUND: As primary care moves toward a system of population health management, providers will need to engage patients outside traditional office-based interactions. OBJECTIVE: We assessed patient attitudes regarding technology use to communicate with their primary care team or to engage with other patients outside typical office settings. Design/Participants/Main Measures We conducted a national survey using GfK KnowledgePanel(®) to examine attitudes on the use of digital technology (email, text messaging, and social media such as Facebook and Twitter) to communicate with primary care teams about health behavior goals and test results. We also assessed attitudes toward the use of digital technologies to engage with other patients in activities such as peer coaching. KEY RESULTS: Of the 5119 panel members invited to participate, 3336 completed the survey (response rate, 65.2 %). Among respondents, more than half (58 %) reported using Facebook, and nearly two-thirds (64.1 %) used text messaging. Overall, few participants were willing to communicate about health goals via social media (3.1 %) or text messaging (13.3 %), compared to email (48.8 %) or phone (75.5 %) (results were similar for communication about test results). Among those that used text messaging, race/ethnicity was the only factor independently associated with greater support for text messaging [African American (OR 1.44; 95 % CI, 1.01-2.06) and Hispanic (OR 1.8; 95 % CI, 1.25-2.59)] in multivariate models. Participants interested in engaging in peer coaching through Facebook (11.7 %) were more likely to be younger (p < 0.0001), female (p < 0.001), and a racial/ethnic minority (African American, non-Hispanic or Hispanic, p < 0.0004). CONCLUSIONS: Despite regular use of new digital technology such as text messaging and social media, few participants supported using these tools for communicating with their physicians' practice. Participants were most supportive of using email for communication. Contrary to previous studies, among users of technology, low socioeconomic status and racial/ethnic minorities were equally or more likely to support use.

Human Papillomavirus Vaccine Completion by 13: A Quality Improvement Initiative in a Large Primary Care Network.

OBJECTIVE: Fewer than 40% of U.S. children complete the human papillomavirus (HPV) vaccine series before their 13th birthday. In our large pediatric primary care network, HPV vaccine completion rate by age 13 was 30%. We hypothesized that a phased quality improvement (QI) initiative would increase rates of HPV vaccine completion by age 13 across our network. METHODS: This QI initiative was conducted in a network of 30 practices located across two states, in urban and suburban settings, consisting of teaching and non-teaching clinics, and ranging in size from three to 50 providers per office. We used a phased approach incorporating multicomponent network-wide and iterative practice-specific interventions. Key interventions included: updating clinical decision support to default order HPV vaccine due at preventive visits starting at age nine instead of 11, data audit and feedback to providers and practices, encouraging use of a strong provider recommendation, and standing orders. RESULTS: From April 2019 to October 2022, HPV vaccine completion by age 13 across our network increased from 30% to 55% and met criteria for special cause variation on statistical process control charts. A gap in median HPV vaccine completion by age 13 between patients with public insurance and patients with private or commercial insurance decreased from 9% to 1%. CONCLUSION: A QI initiative was associated with a sustained increase in HPV vaccine series completion by age 13 and reduced variation in care across a large network of 30 primary care practices.

Low-Income Caregiver Perspectives on a State Education Savings Program and Receptivity to Clinic-Based Financial Counseling.

BACKGROUND AND OBJECTIVE: In 2019, Pennsylvania launched a Children's Development Account (CDA) program that invests $100 in an education savings account for every child born in the state. However, as of 2021, only 10.6% of families claimed the investment. Low-income communities may stand to benefit most from educational investments, but few studies have assessed barriers and facilitators of uptake in these communities. We sought to examine low-income caregivers' perceptions of and barriers and facilitators to participation in a statewide CDA program and their receptivity to clinic-based financial counseling through a medical financial partnership. METHODS: We surveyed 100 caregivers of Medicaid-insured children from 2 primary care practices serving a predominantly low-income community. From these 100, we purposively sampled 30 caregivers for follow-up interviews. RESULTS: The 100 survey participants were predominantly female (83%), Black or African American (92%), and non-Hispanic or Latino (93%). Twenty-nine percent of survey participants were aware of the CDA program, 4% had enrolled, and 64% were interested in clinic-based financial counseling. In interviews, caregivers identified several barriers to and facilitators of engagement in the CDA program. They also identified several strategies to boost engagement, including simplifying registration, providing additional and personalized program information, expanding the investment amount, and providing clinic- and community-based outreach. CONCLUSIONS: Low-income caregivers identified several barriers to enrollment in a statewide CDA program and strategies to boost enrollment, including clinic-based financial counseling. Future research should examine the effectiveness, cost-effectiveness, and long-term financial and health consequences of clinic-based financial services for low-income families.

Accelerating Innovation in Primary Care to Support Adolescent Health Discussions.

BACKGROUND AND OBJECTIVES: Adolescent strengths and risks are not routinely captured in systematized and actionable ways in pediatric primary care. To address this problem, we developed a comprehensive adolescent health questionnaire (AHQ) integrated within the electronic health record and evaluated the AHQ's impact on collection of information on prioritized health-related domains. METHODS: We developed and pilot tested the AHQ. We then scaled and assessed the AHQ's impact on data collection. AHQ development used innovation methods and measured feasibility and acceptability outcomes. Scaling and postscaling outcomes included Reach, Effectiveness, Adoption, Implementation, Maintenance and Sustainability measures: Reach (total questionnaires completed), Effectiveness (capture of key information across health domains pre- vs post-AHQ scaling), Adoption (proportion of practices that adopted the AHQ), Implementation (proportion of eligible adolescents who completed the AHQ), and Maintenance (monthly completion rates). RESULTS: AHQ development led to a tool that was feasible and acceptable for use. During scaling (October 2020-December 2021), 22 147 questionnaires were completed by 20 749 unique adolescents aged 13 to 21 years at their preventive visit. Comparing pre- versus post-AHQ scaling data, use of the AHQ increased collection of information across domains, especially for strengths, gun safety, substance use, sexual activity, sexual orientation, and gender identity, from ranges of 0%-25% to 92%-95%. All 31 practices adopted the AHQ with completion at 88.7% of visits (n = 24 968). Two years postscaling, completion rates were >91% per month. CONCLUSIONS: We successfully developed, scaled, and maintained an AHQ in a widely-used electronic health record system, a model for improving adolescent care and foundation for developing future interventions.

The Role of Family Support in Moderating Mental Health Outcomes for LGBTQ+ Youth in Primary Care.

Importance: Lesbian, gay, bisexual, transgender, queer, and/or questioning (LGBTQ+) youth face worse mental health outcomes than non-LGBTQ+ peers. Family support may mitigate this, but sparse evidence demonstrates this in clinical settings. Objectives: To compare depression and suicide risk between LGBTQ+ and non-LGBTQ+ youth in primary care settings and to investigate whether family support mitigates these negative mental health outcomes. Design, Setting, and Participants: This cross-sectional study uses data from well care visits completed by adolescents aged 13 to 19 years from February 2022 through May 2023, including the Patient Health Questionnaire-9 Modified for Teens (PHQ-9-M) and the Adolescent Health Questionnaire (AHQ; an electronic screener assessing identity, behaviors, and guardian support), at 32 urban or suburban care clinics in Pennsylvania and New Jersey. Exposures: The primary exposure was self-reported LGBTQ+ status. Family support moderators included parental discussion of adolescent strengths and listening to feelings. Race and ethnicity (determined via parent or guardian report at visit check-in), sex, payer, language, age, and geography were covariates. Main Outcomes and Measures: PHQ-9-M-derived mental health outcomes, including total score, recent suicidal ideation, and past suicide attempt. Results: The sample included 60 626 adolescents; among them, 9936 (16.4%) were LGBTQ+, 15 387 (25.5%) were Black, and 30 296 (50.0%) were assigned female sex at birth. LGBTQ+ youth, compared with non-LGBTQ+ youth, had significantly higher median (IQR) PHQ-9-M scores (5 [2-9] vs 1 [0-3]; P < .001) and prevalence of suicidal ideation (1568 [15.8%] vs 1723 [3.4%]; P < .001). Fewer LGBTQ+ youth endorsed parental support than non-LGBTQ+ youth (discussion of strengths, 8535 [85.9%] vs 47 003 [92.7%]; P < .001; and listening to feelings, 7930 [79.8%] vs 47 177 [93.1%]; P < .001). In linear regression adjusted for demographic characteristics and parental discussion of strengths, LGBTQ+ status was associated with a higher PHQ-9-M score (mean difference, 3.3 points; 95% CI, 3.2-3.3 points). In logistic regression, LGBTQ+ youth had increased adjusted odds of suicidal ideation (adjusted odds ratio, 4.3; 95% CI, 4.0-4.7) and prior suicide attempt (adjusted odds ratio, 4.4; 95% CI, 4.0-4.7). Parental support significantly moderated the association of LGBTQ+ status with PHQ-9-M score and suicidal ideation, with greater protection against these outcomes for LGBTQ+ vs non-LGBTQ+ youth. Conclusions and Relevance: Compared with non-LGBTQ+ youth, LGBTQ+ youth at primary care visits had more depressive symptoms and higher odds of suicidal ideation and prior suicide attempt. Youth-reported parental support was protective against these outcomes, suggesting potential benefits of family support-focused interventions to mitigate mental health inequities for LGBTQ+ youth.

Protecting Children and Adolescents From Tobacco and Nicotine.

ABSTRACT: This technical report provides the evidence base for the accompanying tobacco clinical report and policy statement. It builds on, strengthens, and expands AAP recommendations from the previous version in 2015. Tobacco use remains the leading preventable cause of disease and death for adults in the United States. The tobacco epidemic takes a substantial toll on children's and adolescent's health, including harms because of prenatal exposure during pregnancy, secondhand and thirdhand exposure during infancy and childhood, and/or direct use during adolescence. Tobacco and nicotine use almost always starts in childhood or adolescence. Almost 40% of children aged 3 to 11 years are regularly exposed to secondhand tobacco smoke, and rates of secondhand exposure to e-cigarette aerosol have increased over the last decade.

Protecting Children and Adolescents From Tobacco and Nicotine.

Tobacco use remains the leading preventable cause of disease and death for adults in the United States. Significant strides have been made in reducing rates of cigarette smoking among adolescents in the United States. However, rates of e-cigarette and similar device use among youth are high, and rates of other tobacco product use, such as cigars and hookahs, have not declined. Public policy actions to protect children and adolescents from tobacco and nicotine use, as well as tobacco smoke and aerosol exposure, have proven effective in reducing harm. Effective public health approaches need to be both extended to include e-cigarettes, similar devices, and other and emerging tobacco products and expanded to reduce the toll that the tobacco epidemic takes on children and adolescents.

Protecting Children and Adolescents From Tobacco and Nicotine.

Significant strides have been made in reducing rates of cigarette smoking among adolescents in the United States. However, rates of e-cigarette and similar device use among youth are high, and rates of other tobacco product use, such as cigars and hookahs, have not declined. In addition, almost 40% of children 3 to 11 years of age are regularly exposed to secondhand tobacco smoke, and rates of secondhand exposure to e-cigarette aerosol have increased over the last decade. Pediatricians are uniquely positioned to help children, adolescents, and their families live tobacco-free lives. Actions by pediatricians can help reduce children's risk of developing tobacco and nicotine use disorder and reduce children's tobacco smoke and/or aerosol exposure.

Early Literacy Promotion Using Automated Hovering Among Young Minority Children.

OBJECTIVE: To determine feasibility, acceptability, and explore outcomes of behavioral economic (BE) strategies to increase parent-child shared reading within a Reach Out and Read program. METHODS: We conducted rapid-cycle interviews with 10 parents to assess text messages followed by an 8-week randomized controlled trial of 3 BE strategies at 2 urban primary care practices: daily text messages (texting); daily text messages and regret messaging (regret); or daily text messages, regret messaging, and lottery participation (lottery). Parent-child dyads were eligible if children were <24 months old, Medicaid-eligible, and had access to phones capable of receiving and sending text messages. Parents completed the Read Subscale of the StimQ and Parenting Stress Index-short form (PSI-SF) pre- and postintervention, MacArthur Communicative Development Inventory (CDI), Devereux Early Childhood Assessment (DECA), and a satisfaction measure postintervention. Differences between groups were assessed using intention-to-treat analysis. RESULTS: Of 45 dyads randomized, 41 (91%) completed the study. Most participants were Black with incomes <$55,000. Parents reported reading on average 4 d/wk with no change in the reading frequency over time. StimQ scores increased over time, but there were no significant differences in StimQ, PSI-SF, CDI, and DECA scores between groups. Parents in all 3 groups reported satisfaction (3.8/5.0) with the intervention. CONCLUSIONS: Implementation of BE strategies in 2 Reach Out and Read programs was feasible, near acceptable, and improved home reading environment scores. Future study should investigate BE strategies vis-à-vis usual care and be of sufficient duration and intensity to engage participants to assess its impact on patient and parent outcomes.

Cumulative Health Vulnerabilities Among Adolescents by Age and Neighborhood Opportunity.

BACKGROUND AND OBJECTIVES: Early detection of health vulnerabilities in adolescents is integral to promoting healthy behaviors into adulthood. Our objective was to quantify the prevalence of health vulnerabilities among adolescents and examine differences by age and neighborhood opportunity. METHODS: In a cross-sectional analysis of electronic health record data for adolescents aged 13 to 18 years with preventive visits in a large pediatric primary care network between September 2021 and September 2022, we examined 5 health vulnerabilities: Tobacco use, substance use, firearm access, condomless intercourse, and depressive symptoms. Health vulnerabilities were assessed via self-reported adolescent health questionnaire and the validated Patient Health Questionnaire-Modified. Prevalence of health vulnerabilities were calculated alone and in combination, and compared by age and by quintile of neighborhood Child Opportunity Index (COI) score. Multivariable logistic regression estimated associations of neighborhood COI with reporting ≥2 health vulnerabilities. RESULTS: Among 40 197 adolescents (57.7% aged 13-15 years, 66.3% living in "high"/"very high" COI neighborhoods), 29.7% reported at least 1 health vulnerability and 7.9% reported ≥2 vulnerabilities. Cumulative health vulnerabilities were more prevalent among older adolescents and adolescents from lower opportunity neighborhoods. In adjusted models, lower COI was associated with 65% higher odds of having ≥2 vulnerabilities (odds ratio 1.65, 95% confidence interval 1.43-1.91) compared with adolescents from the highest COI quintile. CONCLUSIONS: Understanding the relationship between health vulnerabilities and neighborhood opportunities among adolescents may allow pediatric primary care providers and health systems to offer more tailored community support services and transdiagnostic specialized care navigation to address the health needs of teens with multiple vulnerabilities.

Measures of Neighborhood Opportunity and Adherence to Recommended Pediatric Primary Care.

Importance: Neighborhood conditions are known to broadly impact child health. Research to date has not examined the association of the Childhood Opportunity Index (COI), a multidimensional indicator of neighborhood environment conditions, specifically with pediatric primary care outcomes. Objective: To determine the association of neighborhood opportunity measured by the COI with health metrics commonly captured clinically in pediatric primary care, reflecting both access to preventive care and child well-being. Design, Setting, and Participants: This cross-sectional observational study used electronic health record data from a large pediatric primary care network in the northeastern US. Participants included patients aged 0 to 19 years who were active in the primary care network between November 2020 and November 2022. Data were analyzed in December 2022. Exposure: Census tract-level COI overall score (in quintiles). Main Outcomes and Measures: Outcomes included up-to-date preventive care and immunization status and presence of obesity, adolescent depression and suicidality, and maternal depression and suicidality. Multivariable mixed-effects logistic regressions estimated associations of these outcomes with COI quintiles, adjusted for age, sex, race and ethnicity, and insurance type. Results: Among 338 277 patients (mean [SD] age, 9.8 [5.9] years; 165 223 female [48.8%]; 158 054 [46.7%] non-Hispanic White, 209 482 [61.9%] commercially insured), 81 739 (24.2%) and 130 361 (38.5%) lived in neighborhoods of very low and very high COI, respectively. Living in very high COI neighborhoods (vs very low COI) was associated with higher odds of being up-to-date on preventive visits (odds ratio [OR], 1.40; 95% CI, 1.32-1.48) and immunizations (OR, 1.77; 95% CI, 1.58-2.00), and with lower odds of obesity (OR, 0.55; 95% CI, 0.52-0.58), adolescent depression (OR, 0.78; 95% CI, 0.72-0.84) and suicidality (OR, 0.79; 95% CI, 0.73-0.85), and maternal depression (OR, 0.78; 95% CI, 0.72-0.86) and suicidality (OR, 0.71; 95% CI, 0.61-0.83). Conclusions and Relevance: This cross-sectional study of electronic health record data found that neighborhood opportunity was associated with multiple pediatric primary care outcomes. Understanding these associations can help health systems identify neighborhoods that need additional support and advocate for and develop partnerships with community groups to promote child well-being. The findings underscore the importance of improving access to preventive care in low COI communities.

Neighborhood Greenspace and Changes in Pediatric Obesity During COVID-19.

INTRODUCTION: Pediatric obesity rates increased during the COVID-19 pandemic. This study examined the associations of neighborhood greenspace with changes in pediatric obesity during the pandemic. METHODS: Electronic health record data from a large pediatric primary care network were extracted to create a retrospective cohort of patients aged 2-17 years with a visit in each of 2 periods: June 2019-December 2019 (before pandemic) and June 2020-December 2020 (pandemic). Multivariable longitudinal generalized estimating equations Poisson regression estimated the associations of census tract‒level Normalized Difference Vegetation Index with (1) changes in obesity risk during the pandemic and (2) risk of new-onset obesity among children who were not obese prepandemic. Analyses were conducted between November 2021 and May 2022. RESULTS: Among 81,418 children (mean age: 8.4 years, 18% Black), the percentage of children who were obese increased by 3.2% during the pandemic. Children in Normalized Difference Vegetation Index Quartiles 2-4 had smaller increases in obesity risk during the pandemic than those in Quartile 1 (risk ratio=0.96, 95% CI=0.93, 0.99; Quartile 3 risk ratio=0.95; 95% CI=0.91, 0.98; Quartile 4 risk ratio=0.95, 95% CI=0.92, 0.99). Among the subset who were not obese before the pandemic, children in Normalized Difference Vegetation Index quartiles 3-4 had a lower risk of new-onset obesity during the pandemic (Quartile 3 risk ratio=0.82, 95% CI=0.71, 0.95; Quartile 4 risk ratio=0.73, 95% CI=0.62, 0.85). Higher Normalized Difference Vegetation Index was associated with smaller increases in obesity risk and lower risk of new-onset obesity among children in urban and suburban areas, but results were in the opposite direction for children in rural areas. CONCLUSIONS: Children living in greener neighborhoods experienced smaller increases in obesity during the pandemic than children in less green neighborhoods, although findings differed by urbanicity.

Trends and Persistent Disparities in Child Obesity During the COVID-19 Pandemic.

The COVID-19 pandemic has been associated with increases in pediatric obesity and widening pre-existing disparities. To better understand the pandemic's long-term impacts, we evaluated trends in obesity across different demographic groups during the pandemic through December 2022. Using a retrospective cohort design, we analyzed electronic health record data from a large pediatric primary care network. Logistic regression models fit using generalized estimating equations estimated odds ratios (ORs) for changes in the level and trajectory of obesity across 2-year month-matched periods: prepandemic (June 2017 to December 2019) and pandemic (June 2020 to December 2022). Among a cohort of 153,667 patients with visits in each period, there was a significant increase in the level of obesity at the pandemic onset [OR: 1.229, 95% confidence interval (CI): 1.211-1.247] followed by a significant decrease in the trend for obesity (OR: 0.993, 95% CI: 0.992-0.993). By December 2022, obesity had returned to prepandemic levels. However, persistent sociodemographic disparities remain.