Implementing text-messaging to support and enhance delivery of health behavior change interventions in low- to middle-income countries: case study of the Lifestyle Africa intervention.

The prevalence of non-communicable diseases, such as diabetes and cardiovascular disease, is rising in low- and middle-income countries (LMICs). Health behavior change (HBC) interventions such as the widely used Diabetes Prevention Program (DPP) are effective at reducing chronic disease risk, but have not been adapted for LMICs. Leveraging mobile health (mHealth) technology such as text messaging (SMS) to enhance reach and participant engagement with these interventions has great promise, yet we lack evidence-informed approaches to guide the integration of SMS specifically to support HBC interventions in LMIC contexts. To address this gap, we integrated guidance from the mHealth literature with expertise and first-hand experience to establish specific development steps for building and implementing SMS systems to support HBC programming in LMICs. Specifically, we provide real-world examples of each development step by describing our experience in designing and delivering an SMS system to support a culturally-adapted DPP designed for delivery in South Africa. We outline eight key SMS development steps, including: 1) determining if SMS is appropriate; 2) developing system architecture and programming; 3) developing theory-based messages; 4) developing SMS technology; 5) addressing international SMS delivery; 6) testing; 7) system training and technical support; and 8) cost considerations. We discuss lessons learned and extractable principles that may be of use to other mHealth and HBC researchers working in similar LMIC contexts.Trial registration Clinicaltrials.gov, NCT03342274 . Registered 10 November 2017.

Strengthening Tobacco 21 implementation and enforcement to reduce tobacco-related health disparities: A stakeholder engagement project.

INTRODUCTION: As a part of a priority-setting stakeholder engagement project to strengthen the impact of the federal Tobacco 21 (T21) law, we conducted a qualitative study to solicit input from a nationwide sample of tobacco control stakeholders regarding the implementation, enforcement, and equity implications of the T21 law. METHODS: Following the T21 policy evaluation guidance developed by the Centers for Disease Control (CDC), we identified T21 experts in four domains: policy, evaluation, subject matter, and implementation from a national search of stakeholders (invitations, n=1279) to account for geographical variation. This study presents results from five focus groups conducted in December 2021 among stakeholders (n=31) with experience in T21 policy, evaluation, subject matter, and implementation. RESULTS: Participating T21 stakeholders reported on eight themes from four main topic areas: 1) Implementation, 2) Enforcement, 3) Equity outcomes, and 4) Recommended changes from stakeholders. Stakeholders shared insights on both passive and active implementation methods used in their communities, and highlighted major barriers such as the absence of a standardized tobacco retail licensing mandate and insufficient resources. Regarding T21 enforcement, stakeholders believed that current deterrents for retail violations might not be effective. They noted that vape and tobacco shops and online sales of tobacco products are emerging major challenges in T21 enforcement. Stakeholders also discussed possible health inequities that may be exacerbated by heterogenous implementation of the T21 law. CONCLUSIONS: To strengthen T21 and mitigate potential exacerbation of existing health inequities, greater alignment of federal, state, and local efforts to reduce heterogeneity of implementation and enforcement of the T21 law is recommended.

Cost-effectiveness of Lifestyle Africa: an adaptation of the diabetes prevention programme for delivery by community health workers in urban South Africa.

BACKGROUND: Lifestyle Africa is an adapted version of the Diabetes Prevention Program designed for delivery by community health workers to socioeconomically disadvantaged populations in low- and middle-income countries (LMICs). Results from the Lifestyle Africa trial conducted in an under-resourced community in South Africa indicated that the programme had a significant effect on reducing haemoglobin A1c (HbA1c). OBJECTIVE: To estimate the cost of implementation and the cost-effectiveness (in cost per point reduction in HbA1c) of the Lifestyle Africa programme to inform decision-makers of the resources required and the value of this intervention. METHODS: Interviews were held with project administrators to identify the activities and resources required to implement the intervention. A direct-measure micro-costing approach was used to determine the number of units and unit cost for each resource. The incremental cost per one point improvement in HbA1c was calculated. RESULTS: The intervention equated to 71 United States dollars (USD) in implementation costs per participant and a 0.26 improvement in HbA1c per participant. CONCLUSIONS: Lifestyle Africa reduced HbA1c for relatively little cost and holds promise for addressing chronic disease in LMIC. Decision-makers should consider the comparative clinical effectiveness and cost-effectiveness of this intervention when making resource allocation decisions. TRIAL REGISTRATION: Trial registration is at ClinicalTrials.gov (NCT03342274).

The Effects of Opt-out vs Opt-in Tobacco Treatment on Engagement, Cessation, and Costs: A Randomized Clinical Trial.

Importance: Tobacco use causes 7 million deaths per year; most national guidelines require people who use tobacco to opt in to care by affirming they are willing to quit. Use of medications and counseling is low even in advanced economy countries. Objective: To evaluate the efficacy of opt-out care vs opt-in care for people who use tobacco. Design, Setting, and Participants: In Changing the Default (CTD), a Bayesian adaptive population-based randomization trial, eligible patients were randomized into study groups, treated according to group assignment, and debriefed and consented for participation at 1-month follow-up. A total of 1000 adult patients were treated at a tertiary care hospital in Kansas City. Patients were randomized from September 2016 to September 2020; final follow-up was in March 2021. Interventions: At bedside, counselors screened for eligibility, conducted baseline assessment, randomized patients to study group, and provided opt-out care or opt-in care. Counselors and medical staff provided opt-out patients with inpatient nicotine replacement therapy, prescriptions for postdischarge medications, a 2-week medication starter kit, treatment planning, and 4 outpatient counseling calls. Patients could opt out of any or all elements of care. Opt-in patients willing to quit were offered each element of treatment described previously. Opt-in patients who were unwilling to quit received motivational counseling. Main Outcomes and Measures: The main outcomes were biochemically verified abstinence and treatment uptake at 1 month after randomization. Results: Of a total of 1000 eligible adult patients who were randomized, most consented and enrolled (270 [78%] of opt-in patients; 469 [73%] of opt-out patients). Adaptive randomization assigned 345 (64%) to the opt-out group and 645 (36%) to the opt-in group. The mean (SD) age at enrollment was 51.70 (14.56) for opt-out patients and 51.21 (14.80) for opt-out patients. Of 270 opt-in patients, 123 (45.56%) were female, and of 469 opt-out patients, 226 (48.19%) were female. Verified quit rates for the opt-out group vs the opt-in group were 22% vs 16% at month 1 and 19% vs 18% at 6 months. The Bayesian posterior probability that opt-out care was better than opt-in care was 0.97 at 1 month and 0.59 at 6 months. Treatment use for the opt-out group vs the opt-in group was 60% vs 34% for postdischarge cessation medication (bayesian posterior probability of 1.0), and 89% vs 37% for completing at least 1 postdischarge counseling call (bayesian posterior probability of 1.0). The incremental cost-effectiveness ratio was $678.60, representing the cost of each additional quit in the opt-out group. Conclusions and Relevance: In this randomized clinical trial, opt-out care doubled treatment engagement and increased quit attempts, while enhancing patients' sense of agency and alliance with practitioners. Stronger and longer treatment could increase cessation. Trial Registration: ClinicalTrials.gov Identifier: NCT02721082.

"I'm a transgender man I have to quit smoking for treatment and surgery": Describing the experience of a Latino transgender man during his attempt to quit smoking.

OBJECTIVE: To describe the experience of a Latino transgender man during his attempt to quit smoking using a text messaging intervention. METHODS: A Latino transgender man enrolled in a smoking cessation randomized controlled trial for Latino smokers. The participant was randomized to Decídetexto, a smoking cessation mobile intervention. The participant received a 24-week text messaging intervention. We assessed text messaging interactivity with the program, satisfaction, and self-reported abstinence at Week 12 and Month 6. RESULTS: During the 24-week intervention period, the participant sent a total of 287 text messages to the program. When analyzing the content of the text messages sent by the participants, four important themes were identified: 1) gender identity, 2) low social support, 3) stressors (e.g., gender dysphoria), and 4) gender affirmation surgery as a reason to quit smoking. At both Week 12 and Month 6, the participant reported being extremely satisfied with the intervention and self-reported cigarette use. CONCLUSION: A smoking cessation mobile intervention generated high satisfaction and frequent interactivity among a Latino transgender man. This case report provides important insights into the experience of one Latino transgender man during his attempt to quit smoking. There is an urgent need to develop or adapt existing smoking cessation interventions to better meet the needs of transgender people.

COVID-19 Testing in African American Churches Using a Faith-Health- Academic Partnership.

Increasing access to COVID-19 testing in influential, accessible community settings is needed to address COVID-19 disparities among African Americans. We describe COVID-19 testing intervention approaches conducted in Kansas City, Missouri, African American churches via a faith-health-academic partnership. Trained faith leaders promoted COVID-19 testing with church and community members by implementing multilevel interventions using a tailored toolkit and standard education information. The local health department conducted more than 300 COVID-19 tests during or after Sunday church services and outreach ministry activities. (Am J Public Health. 2022;112(S9):S887-S891. https://doi.org/10.2105/AJPH.2022.306981).

Effectiveness of Recruitment Strategies of Latino Smokers: Secondary Analysis of a Mobile Health Smoking Cessation Randomized Clinical Trial.

BACKGROUND: Latinos remain disproportionately underrepresented in clinical trials, comprising only 2%-3% of research participants. In order to address health disparities, it is critically important to increase enrollment of Latino smokers in smoking cessation trials. There is limited research examining effective recruitment strategies for this population. OBJECTIVE: The purpose of this study was to compare the effectiveness of direct versus mass and high- versus low-effort recruitment strategies on recruitment and retention of Latino smokers to a randomized smoking cessation trial. We also examine how the type of recruitment might have influenced the characteristics of enrolled participants. METHODS: Latino smokers were enrolled into Decídetexto from 4 states-New Jersey, Kansas, Missouri, and New York. Participants were recruited from August 2018 until March 2021. Mass recruitment strategies included English and Spanish advertisements to the Latino community via flyers, Facebook ads, newspapers, television, radio, church bulletins, and our Decídetexto website. Direct, high-effort strategies included referrals from clinics or community-based organizations with whom we partnered, in-person community outreach, and patient registry calls. Direct, low-effort strategies included texting or emailing pre-existing lists of patients who smoked. A team of trained bilingual (English and Spanish) recruiters from 9 different Spanish-speaking countries of origin conducted recruitment, assessed eligibility, and enrolled participants into the trial. RESULTS: Of 1112 individuals who were screened, 895 (80.5%) met eligibility criteria, and 457 (457/895, 51.1%) enrolled in the trial. Within the pool of screened individuals, those recruited by low-effort recruitment strategies (both mass and direct) were significantly more likely to be eligible (odds ratio [OR] 1.67, 95% CI 1.01-2.76 and OR 1.70, 95% CI 0.98-2.96, respectively) and enrolled in the trial (OR 2.60, 95% CI 1.81-3.73 and OR 3.02, 95% CI 2.03-4.51, respectively) compared with those enrolled by direct, high-effort strategies. Among participants enrolled, the retention rates at 3 months and 6 months among participants recruited via low-effort strategies (both mass and direct) were similar to participants recruited via direct, high-effort methods. Compared with enrolled participants recruited via direct (high- and low-effort) strategies, participants recruited via mass strategies were less likely to have health insurance (44.0% vs 71.2% and 71.7%, respectively; P<.001), lived fewer years in the United States (22.4 years vs 32.4 years and 30.3 years, respectively; P<.001), more likely to be 1st generation (92.7% vs 76.5% and 77.5%, respectively; P=.007), more likely to primarily speak Spanish (89.3% vs 65.8% and 66.3%, respectively), and more likely to be at high risk for alcohol abuse (5.8 mean score vs 3.8 mean score and 3.9 mean score, respectively; P<.001). CONCLUSIONS: Although most participants were recruited via direct, high-effort strategies, direct low-effort recruitment strategies yielded a screening pool more likely to be eligible for the trial. Mass recruitment strategies were associated with fewer acculturated enrollees with lower access to health services-groups who might benefit a great deal from the intervention. TRIAL REGISTRATION: ClinicalTrials.gov identifier: NCT03586596; https://clinicaltrials.gov/ct2/show/NCT03586596. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-DOI: 10.1016/j.cct.2020.106188.

Use of pre-enrollment randomization and delayed consent to maximize participation in a clinical trial of opt-in versus opt-out tobacco treatment.

Background: Enrollment in smoking cessation trials remain sub-optimal. The aim of this analysis was to determine the effectiveness of a modified Zelen's design in engaging hospitalized patients who smoke in a pragmatic OPT-IN versus OPT-OUT tobacco treatment trial. Methods: At bedside, clinical staff screened smokers for eligibility, randomized eligible into study arms, and delivered the appropriate treatment approach. Study staff called randomized patients at one-month post-discharge, debriefed patients on the study design, and collected consent to participate. We used frequencies and percentages for categorical variables and means and standard deviations for quantitative variables to describe the characteristics of those who consented and were enrolled versus those who did not enroll. We also compared the characteristics of participants who consented and those who were reached and explicitly refused consent at one-month follow-up. We used the Cohen's d measure of effect size to evaluate differences. Results: Of the 1,000 randomized, 741 (74.1%) consented to continue in the study at one-month follow-up. One hundred and twenty-seven (12.7%) refused consent and 132 (13.2%) were unreachable. Cohen's d effect size differences between those who consented/enrolled (n = 741) and those who were not enrolled (n = 259) were negligible (<0.2) for age, gender, race/ethnicity, and most forms of insurance. The effect size was small for Medicaid (0.36), and other public insurance (0.48). After excluding those unreached at 1 month (12.7%), there were medium Cohen's d effect size differences between those who consented to participate (n = 741) and those who explicitly refused (n = 127) with respect to age (0.55) and self-pay or no insurance (0.51). There were small to negligible effect size differences with respect to sex, race/ethnicity, and other forms of health insurance. Conclusions: The modified Zelen's design resulted in successful enrollment of most participants who were initially randomized into the trial, including those not motivated to quit.

Evaluation of an adapted version of the Diabetes Prevention Program for low- and middle-income countries: A cluster randomized trial to evaluate "Lifestyle Africa" in South Africa.

BACKGROUND: Low- and middle-income countries (LMICs) are experiencing major increases in diabetes and cardiovascular conditions linked to overweight and obesity. Lifestyle interventions such as the United States National Diabetes Prevention Program (DPP) developed in high-income countries require adaptation and cultural tailoring for LMICs. The objective of this study was to evaluate the efficacy of "Lifestyle Africa," an adapted version of the DPP tailored for an underresourced community in South Africa compared to usual care. METHODS AND FINDINGS: Participants were residents of a predominantly Xhosa-speaking urban township of Cape Town, South Africa characterized by high rates of poverty. Participants with body mass index (BMI) ≥ 25 kg/m2 who were members of existing social support groups or "clubs" receiving health services from local nongovernmental organizations (NGOs) were enrolled in a cluster randomized controlled trial that compared Lifestyle Africa (the intervention condition) to usual care (the control condition). The Lifestyle Africa intervention consisted of 17 video-based group sessions delivered by trained community health workers (CHWs). Clusters were randomized using a numbered list of the CHWs and their assigned clubs based on a computer-based random allocation scheme. CHWs, participants, and research team members could not be blinded to condition. Percentage weight loss (primary outcome), hemoglobin A1c (HbA1c), blood pressure, triglycerides, and low-density lipoprotein (LDL) cholesterol were assessed 7 to 9 months after enrollment. An individual-level intention-to-treat analysis was conducted adjusting for clustering within clubs and baseline values. Trial registration is at ClinicalTrials.gov (NCT03342274). Between February 2018 and May 2019, 782 individuals were screened, and 494 were enrolled. Participants were predominantly retired (57% were receiving a pension) and female (89%) with a mean age of 68 years. Participants from 28 clusters were allocated to Lifestyle Africa (15, n = 240) or usual care (13, n = 254). Fidelity assessments indicated that the intervention was generally delivered as intended. The modal number of sessions held across all clubs was 17, and the mean attendance of participants across all sessions was 61%. Outcome assessment was completed by 215 (90%) intervention and 223 (88%) control participants. Intent-to-treat analyses utilizing multilevel modeling included all randomized participants. Mean weight change (primary outcome) was -0.61% (95% confidence interval (CI) = -1.22, -0.01) in Lifestyle Africa and -0.44% (95% CI = -1.06, 0.18) in control with no significant difference (group difference = -0.17%; 95% CI = -1.04, 0.71; p = 0.71). However, HbA1c was significantly lower at follow-up in Lifestyle Africa compared to the usual care group (mean difference = -0.24, 95% CI = -0.39, -0.09, p = 0.001). None of the other secondary outcomes differed at follow-up: systolic blood pressure (group difference = -1.36; 95% CI = -6.92, 4.21; p = 0.63), diastolic blood pressure (group difference = -0.39; 95% CI = -3.25, 2.30; p = 0.78), LDL (group difference = -0.07; 95% CI = -0.19, 0.05; p = 0.26), triglycerides (group difference = -0.02; 95% CI = -0.20, 0.16; p = 0.80). There were no unanticipated problems and serious adverse events were rare, unrelated to the intervention, and similar across groups (11 in Lifestyle Africa versus 13 in usual care). Limitations of the study include the lack of a rigorous dietary intake measure and the high representation of older women. CONCLUSIONS: In this study, we found that Lifestyle Africa was feasible for CHWs to deliver and, although it had no effect on the primary outcome of weight loss or secondary outcomes of blood pressure or triglycerides, it had an apparent small significant effect on HbA1c. The study demonstrates the potential feasibility of CHWs to deliver a program without expert involvement by utilizing video-based sessions. The intervention may hold promise for addressing cardiovascular disease (CVD) and diabetes at scale in LMICs. TRIAL REGISTRATION: ClinicalTrials.gov NCT03342274.

Shared Decision Making in Health Care: Theoretical Perspectives for Why It Works and For Whom.

Applying both theoretical perspectives and empirical evidence, we address 2 key questions regarding shared decision making (SDM): 1) When should SDM be more patient driven, and when should it be more provider driven? and 2) Should health care providers match their SDM style/strategy to patient needs and preferences? Self-determination theory, for example, posits a distinction between autonomy and independence. A patient may autonomously seek their health care provider's input and guidance, perhaps due to low perceived competence, low coping resources, or high emotional arousal. Given their need state, they may autonomously require nonindependence. In this case, it may be more patient centered and need supportive to provide more provider-driven care. We discuss how other patient characteristics such as personality attributes, motivational state, and the course of illness and other parameters such as time available for an encounter may inform optimal provider decision-making style and strategy. We conclude that for some types of patients and clinical circumstances, a more provider-driven approach to decision making may be more practical, ethical, and efficacious. Thus, while all decision making should be patient centered (i.e., it should consider patient needs and preferences), it does not always have to be patient driven. We propose a flexible model of SDM whereby practitioners are encouraged to tailor their decision making behaviors to patient needs, preferences, and other attributes. Studies are needed to test whether matching decision-making behavior based on patient states and traits (i.e., achieving concordance) is more effective than simply providing all patients with the same type of decision making, which could be tested using matching/mismatching designs.

Feasibility and Effectiveness of Recruiting Latinos in Decídetexto-A Smoking Cessation Clinical Trial from an Emergency Department Patient Registry.

There is an underrepresentation of Latinos in smoking cessation clinical trials. This study describes the feasibility and effectiveness of recruiting Latino smokers in the U.S. from an emergency department (ED) patient registry into a randomized smoking cessation clinical trial. Recruitment occurred from the Hackensack University Medical Center ED. Potential participants were contacted from a patient registry. The primary outcome was whether the participant responded to a call or text. Secondary outcomes included the best day of the week, week of the month, and time of day to obtain a response. Of the 1680 potential participants, 1132 were called (67.5%), while 548 (32.5%) were texted. For calls, response rate was higher compared to text (26.4% vs 6.4%; p < 0.001). More participants were interested in the study when contacted by calls compared to text (11.4% vs. 1.8%) and more participants were enrolled in the study when contacted by calls compared to text (1.1% vs. 0.2%). Regression models showed that ethnicity, age, time of day, and week of the month were not significantly associated with response rates. Recruitment of Latinos from an ED patient registry into a smoking cessation clinical trial is feasible using call and text, although enrollment may be low.

Trends in Adolescent Cannabis-Related Hospitalizations by State Legalization Laws, 2008-2019.

PURPOSE: Adolescent cannabis use is associated with adverse health outcomes. The impact of cannabis legalization on adolescent cannabis-related hospitalizations remains unknown. We sought to assess whether state cannabis legalization is associated with adolescent cannabis-related hospitalizations. METHODS: We conducted a retrospective cohort study of adolescent (11-17 years) hospitalizations at children's hospitals between January 1, 2008 and December 31, 2019 using the Inpatient Essentials database. We investigated differences in adolescent cannabis-related diagnosis during a hospitalization by state cannabis legalization status, including states with no legal use to medical cannabis laws (MCLs) and states with MCLs to nonmedical (>21 years old) cannabis laws (NMCLs). RESULTS: Of 1,898,432 adolescent hospitalizations in 18 states and Washington, DC, there were 37,562 (2%) hospitalizations with a cannabis-related diagnosis, with 8,457 (23%) in states with no legal use, 20,444 (54%) in MCL states, and 8,661 (23%) in NMCL states. There was an increase in adjusted odds of a cannabis-related hospitalization in MCL (odds ratio 1.05, 95% confidence interval 1.04-1.06) and NMCL states (odds ratio 1.03, 95% confidence interval 1.02-1.03) between 2008 and 2019. Characteristics associated with the greatest increase in adjusted odds of a cannabis-related hospitalization postpolicy change included adolescents without an underlying mental health or other substance use disorder in MCL and NMCL states (p < .001) and younger age in NMCL states (13 vs. 16 and 17 years old, p = .02 and p = .02). CONCLUSIONS: Cannabis-related adolescent hospitalizations at children's hospitals are increasing, with a disproportionate increase postlegalization in states with NMCLs. Interventions are warranted to increase cannabis use identification and treatment among at-risk adolescents in the hospital-based setting.

Translation and Examination of the Reliability and Validity of the Spanish Version of the Smoking Self-Efficacy Questionnaire Among Latino Smokers.

The 12-item Smoking Self-Efficacy Questionnaire (SEQ-12) is a valid and reliable instrument to assess confidence in one's ability to refrain from smoking in a variety of different situations. This study evaluated the psychometric properties of the Spanish version of the 12-item Smoking Self-Efficacy Questionnaire (SEQ-12) among a sample of Spanish-speaking Latino smokers engaged in a smoking cessation research study. A forward-backward translation procedure guided the translation of the SEQ-12 into Spanish. The Spanish version of the SEQ-12 showed promising internal consistency reliability and construct validity among Latino smokers, with potential applications in both research and clinical settings.

Stress, Depression and Quit Attempt Outcomes among Unmotivated Smokers.

INTRODUCTION: Stress and depressive symptoms have been linked to a reduced likelihood of sustaining smoking cessation. Because stress and depressive symptoms may negatively affect motivation to quit, stress and depression may also be important for whether or not smokers make a quit attempt. OBJECTIVE: To examine the relationship between perceived stress and depressive symptoms and initiating a quit attempt in a smoking cessation induction trial. METHODS: We conducted a secondary analysis of existing data from a randomized clinical trial (N = 255) comparing motivational interviewing to health education and brief advice for smoking cessation induction in smokers with low motivation to quit. RESULTS: We observed positive associations between baseline predictors and quit attempts at week 12 (r = 0.192, p < 0.01 for depressive symptoms and r = 0.136, p < 0.05 for perceived stress). Logistic regression models revealed similar significant positive associations between baseline perceived stress and baseline depressive symptoms and making a quit attempt by week 12 (OR = 1.5, CI:1.03, 2.19 and OR = 1.03, 95% CI: 1.01, 1.06; respectively). CONCLUSION: Unexpectedly, this study found generally small but consistently positive associations between baseline depressive symptoms and baseline perceived stress and making a quit attempt by week 12. The results can be viewed as encouraging in that interventions to encourage quit attempts do not appear counter-productive for individuals higher in stress and depressive symptoms, but these patients very likely will need additional supports to sustain abstinence.

Brief Motivational Intervention to Improve Adolescent Sexual Health Service Uptake: A Pilot Randomized Controlled Trial in the Emergency Department.

OBJECTIVE: To test the hypothesis that our motivational sexual health intervention (SexHealth) would increase health service uptake when compared with control. STUDY DESIGN: In a randomized controlled trial at a pediatric emergency department, sexually active adolescents received either the SexHealth intervention or printed materials (control). SexHealth, delivered by a health educator, was a tablet-based, interactive intervention that included motivational techniques to promote sexual health, condom skills training, and tailored service recommendations. We assessed feasibility (eg, intervention completion, recommendations discussed, intervention duration), acceptability (ie, proportion enrolled and rating intervention as satisfactory), and efficacy; secondary outcomes were sexual and care-seeking behaviors at 6 months. The efficacy outcome was completion of ≥1 service at the index visit (ie, counseling, condoms, emergency contraception for immediate or future use, pregnancy/sexually transmitted infection/HIV testing, sexually transmitted infection treatment, and clinic referral). RESULTS: We enrolled 91 participants (intervention = 44; control = 47). The intervention demonstrated high feasibility: 98% completed the intervention; 98% of recommendations were discussed; duration was 24.6 minutes, and acceptability: 87% of eligible adolescents enrolled and 93% rated the intervention as fairly to very satisfactory. Compared with controls, intervention participants were more likely to complete ≥1 service (98% vs 70%, P < .001) including HIV testing (33% vs 6%, P = .02) and emergency contraception (80% vs 0%, P = .01). There were no meaningful differences between arms in behaviors at follow-up. CONCLUSIONS: SexHealth was feasible to implement, acceptable to youth, and resulted in increased uptake of health services during the emergency department visit. Additional strategies may be needed to extend intervention effects over time. CLINICAL TRIAL REGISTRATION: ClinicalTrials.gov; NCT03341975.

Differential mechanisms of change in motivational interviewing versus health education for smoking cessation induction.

Objective: To determine if Motivational Interviewing (MI) versus health education (HE) elicited different types of client language and whether these differences were associated with outcomes in a randomized clinical trial (RCT) for cessation induction among people who smoke with low motivation to quit. Methods: A secondary data analysis was conducted using data from the MI and HE arms of a trial in which people who smoke (N = 202) with low desire to quit were randomly assigned to four sessions of MI, HE or brief advice. Mediation analyses examined two types of client language: change talk (CT) and a novel form of client speech called "learning talk" (LT). Outcomes were assessed at baseline, 3 and 6 months. Results: With HE as the reference group, MI resulted in greater CT (OR = 3.0, 95% CI: 1.7-5.5) which was associated with better outcomes (average d = .34, SD = .13) and HE resulted in greater LT (OR = .05, 95% CI: .02-.10) which was also associated with better outcomes (average d = .42, SD = .08). Indirect parallel mediation effects on quit attempts were significant for both MI-CT (OR = 1.4, 95% CI: 1.1-1.7) and HE-LT (OR = .4, 95% CI: .2-.7). Conclusions: MI and HE were both efficacious via different pathways to change, confirming the utility of MI in this RCT as well as highlighting the potential of HE based on the "5R's" for smoking cessation. These findings emphasize the value of exploring theorized mechanisms of action of interventions evaluated in RCTs. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Rural-Urban Differences in Changes and Effects of Tobacco 21 in Youth E-cigarette Use.

BACKGROUND: The prevalence of current electronic cigarette (e-cigarette) use has increased dramatically among US youth. It is unknown how the impact of policies to curb e-cigarette use might differ across rural and urban areas. METHODS: Data were collected from an annual statewide survey of middle and high school students in Kansas. Multivariable logistic regression was performed to examine the temporal change in current e-cigarette use in 2018 and 2019 across rural and urban areas and across the areas with and without a Tobacco 21 (T21) policy that raises the minimum age of tobacco sales to 21 years. RESULTS: Of 132 803 participants, the prevalence of current e-cigarette use increased from 8.2% in 2018 to 12.6% in 2019. The increase was larger in rural areas (from 6.7% in 2018 to 13.4% in 2019, difference = 6.7%) than in urban areas (9.8%-11.9%, difference = 2.1%), with a significant interaction effect of year × urbanicity/T21 group (P < .0001). In urban areas, e-cigarette use increased significantly for middle school students in T21 areas (3.3%-4.5%; P = .01) and all students in non-T21 areas (8.1%-12.0%; P < .0001). In rural areas, the increase in e-cigarette use was significant in both T21 and non-T21 areas for all students, but the increase was smaller in T21 (7.9%-10.8%, difference = 3.0%) than in non-T21 areas (6.5%-13.7%, difference = 7.1%). CONCLUSIONS: In this study, we reported marked disparities in the increase of youth e-cigarette use, with a larger recent increase in rural than in urban areas. T21 policies appear to mitigate these increases in both rural and urban youth.

Trends in Incidence of Nicotine Use Disorder Among Adolescents in the Pediatric Hospital, 2012-2019.

OBJECTIVES: To assess trends in the incidence of nicotine use disorder (NUD) and describe associated factors among adolescents in the pediatric emergency department (ED) and inpatient settings. METHODS: We conducted a retrospective cohort study of all adolescents (11-18 years) with a hospital encounter (inpatient, observation, or ED) in the Pediatric Health Information System between January 1, 2012, and September 30, 2019. After excluding adolescents with a previous International Classification of Diseases, Ninth Revision, and International Classification of Diseases, Tenth Revision, NUD diagnosis in the past 2 years, adolescents with new NUD diagnosis (ie, NUD incidence) were identified. A multivariable generalized liner mixed model was used to assess adjusted NUD incidence and investigate the relationship of NUD with patient characteristics and any interactions between characteristics and time. Spearman's correlation coefficient was used to assess the correlation between NUD incidence and e-cigarette use reported among youth. RESULTS: Of 3 963 754 adolescents, 15 376 (0.4%) had a new diagnosis of NUD. Between 2012 and 2019, NUD incidence increased from 0.3% to 0.4% (P < .001). Findings from the time interaction effect analysis revealed increasing NUD incidence among certain subpopulations, including boys, those with a commercial or other insurance type, adolescents seen in the ED, those from the lowest and highest median household income quartile, and those in the South and West US Census regions. The correlation between NUD incidence and e-cigarette use among high school students was ρ = 0.884 (P = .006). CONCLUSIONS: The incidence of NUD among adolescents is increasing. Efforts to increase the screening and treatment of NUD among adolescents in the hospital, particularly among the at-risk populations identified, are needed.

Barriers to Tobacco Cessation for Caregivers of Hospitalized Children: Perspectives of Pediatric Hospitalists.

OBJECTIVES: Secondhand smoke exposure is associated with adverse health outcomes in children, yet tobacco cessation efforts for caregivers of hospitalized children are lacking. We sought to explore pediatric hospitalists' attitudes and barriers to providing tobacco cessation for caregivers of hospitalized children. METHODS: We conducted a cross-sectional survey of pediatric hospitalists and fellows at 7 hospitals from November 1, 2018, to November 30, 2019. A 70-question anonymous survey was used to assess participants' perceptions of current practices, attitudes, and barriers to providing tobacco cessation support for caregivers of hospitalized children. We used descriptive statistics to summarize the data. RESULTS: Of 207 eligible participants, 100 responded (48%). A majority (79%) agreed that offering tobacco cessation counseling for caregivers is an important part of their role in caring for hospitalized children, but 79% never received tobacco cessation training. Only half of the participants were comfortable providing brief advice and few were comfortable prescribing nicotine replacement therapy. Identified barriers included lack of time (74%), perceived lack of interest from patients' caregivers (71%), and other medical conditions of the patient taking priority (70%). The majority of participants were interested in further training in tobacco cessation support. CONCLUSIONS: In this survey of 100 pediatric hospitalists, we found overall agreement that tobacco cessation support for caregivers of hospitalized children is important. However, most participants did not feel comfortable with provision of evidence-based counseling or pharmacotherapy because of identified barriers. Future work should target actionable barriers to improve provision of tobacco cessation support in this clinical setting.