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PubMed2025

Mixed Methods Findings from a Stepped Wedge Hybrid Implementation Trial of ATTAIN NAV: A Mental Health Family Navigation Intervention for Autistic Youth.

ATTAIN NAV (Access to Tailored Autism Integrated Care through Family Navigation) was delivered by family navigators to promote access to and engagement with mental health services for school-age autistic youth. This study used a mixed method, stepped wedge design to test the effects of family navigation on service and clinical outcomes while gathering information on implementation. Primary care providers from six clinics in California and 56 caregiver-child dyads enrolled in and completed the study. Clinics were randomized to either a technology-enhanced or standard family navigation condition. Caregivers completed assessments at baseline and post about child, family and services outcomes, and a subset participated in a post qualitative interview. Quantitative findings demonstrated improvements in child challenging behavior and parent activation across conditions although these improvements were more pronounced for families in the standard FN condition. At post-intervention, families in the standard FN condition reported higher levels of navigation satisfaction, a shorter time to attend their first mental health appointment, and higher engagement with their navigator. Qualitative findings complemented and expanded the quantitative survey findings. The ATTAIN NAV model of family navigation for autistic children with co-occurring mental health needs demonstrates promising implementation, service, and clinical benefits. Clinical Trials Registration. NCT05344378.

Humans↗
PubMed2026

2024-2025 BNT162b2 KP.2 COVID-19 full season vaccine effectiveness from vaccine registries linked to administrative claims in two states: A cohort study in non-immunocompromised adults.

BACKGROUND: Data on effectiveness of COVID-19 vaccinations during the 2024-2025 respiratory season are limited, particularly among those with underlying medical conditions (UMC). We estimated BNT162b2 KP.2 vaccine effectiveness (VE) against COVID-19-associated hospital admission, emergency department (ED), and urgent care (UC) visits in two U.S. states. METHODS: Retrospective cohort study of non-immunocompromised adults living in Louisiana or California, with ≥1 year prior continuous enrollment in insurance plans contributing to the HealthVerity claims database beginning August 22, 2024. The effectiveness of BNT162b2 KP.2 vaccine (2024-2025 formulation, hereafter referred to as BNT162b2), measured as a time-varying exposure against hospital admission, ED, or UC encounters with International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) code U07.1 was calculated as 1 - adjusted hazard ratio using Cox proportional hazard models adjusted for age group, sex, state, insurance payor, presence or absence of UMCs, and pre-index healthcare utilization. Stratifications included those aged 65 years and older, those aged 18-64 years with UMCs, and those aged 18-64 years without UMCs. RESULTS: The cohort included 6,256,421 individuals (93% California, 7% Louisiana); 330,565 (5%) received the BNT162b2 vaccine. Vaccinated individuals were older and had more comorbidities, wellness visits, and prior influenza vaccination. Overall, 66% of the study population had ≥1 UMC; the most prevalent conditions were obesity (25%), history of immunocompromised conditions (23%), and mental health conditions (19%). COVID-19-related encounter rates for ED, UC or hospitalization were lower among vaccinated compared to unvaccinated persons (25.1 vs 36.3 per 100,000 person-months). Among all adults, VE was 37% against hospitalization, 12% against ED/UC encounters, and 16% against ED/UC/hospitalization encounters. Results were similar across age groups and UMCs. CONCLUSIONS: BNT162b2 provided protection against COVID-19-associated outcomes of ED, UC or hospitalization among non-immunocompromised U.S. adults, including those with UMCs, over the course of the 2024-2025 respiratory virus season, supporting continued vaccine recommendations. REGISTRATION: This study was posted on clinicaltrials.gov prior to analyses (NCT06923137).

Adolescent↗
PubMed2026

E-cigarette product characteristics and packaging features and interest in e-cigarette use: Results from a randomized within-person trial nested in three prospective cohorts.

BACKGROUND: Product characteristics and packaging may be key targets for regulation to reduce e-cigarette use among youth, but existing data are limited. METHODS: Data are from an experimental study (2018-2020) nested within three prospective cohorts (age 14-26) in southern California (N&#x2009;=&#x2009;3565). Participants were shown five e-cigarette (e-liquid) packages in a random order that varied in flavor (sweet vs. tobacco), flavor name (descriptive ["blueberry cheesecake"] vs. concept ["smurf cake"] vs. none [number only]), and cartoon image on package (yes/no). For each stimuli, survey items assessed the following outcomes: product appeal (self-enjoyment, others' enjoyment; Likert scale [1-5]), susceptibility to use (use if friends offered, curiosity; 4 ordered responses [definitely not-definitely yes]), peer acceptability (definitely not-definitely yes), and perceived harm (definitely not-definitely yes). Mixed effects proportional odds models evaluated within-person effects of each factor (flavor, flavor name, cartoon) with each outcome. RESULTS: Participants reported greater appeal, susceptibility, and peer acceptability (OR range=3.7-16.9; ps<0.05), and lower perceived harm (OR=0.61; 95%CI=0.53, 0.70) for sweet (vs. tobacco-flavored) e-cigarettes; effects were progressively stronger for younger cohorts. The descriptive flavor name rated higher than the concept flavor (OR range=1.13-2.02; ps<0.05) or number only (OR range=1.18-1.69; ps<0.05) for appeal and susceptibility measures; no differences for concept vs. number were found. The cartoon image rated higher for appeal, curiosity, and peer acceptability (OR range=1.24-1.51; ps<0.05). CONCLUSIONS: Sweet flavors, descriptive flavor names, and cartoon images may increase the appeal of e-cigarettes among youth and young adults with no history of e-cigarette use, and are key targets for regulation.

Humans↗
PubMed2026

Open repairs with biceps rerouting does not impact retears in large to massive rotator cuff tears compared to conventional open repair: a randomized clinical trial.

BACKGROUND: The treatment of large to massive rotator cuff tears leads to a high failure rate and several techniques have been proposed to improve these results. Rerouting the long head of the biceps tendon (LHBT) appears to be a biological reinforcement to increase tendon healing. Therefore, this study aimed to compare the clinical and radiological outcomes of open repair for large and massive rotator cuff tears reinforced with the LHBT to conventional open repair. METHODS: A prospective randomized study was conducted with patients diagnosed with large to massive rotator posterosuperior rotator cuff tear and intact LHBT, randomized into 2 groups: biceps rerouting and conventional open repair. The functional outcomes were assessed by the American Shoulder and Elbow Surgeon score, University of California at Los Angeles score, and SF-12 questionnaire preoperatively and at 6, 12, and 24 months postoperatively. Pain level was also assessed by the visual analog scale including the first day and 2 weeks postoperatively. Structural outcomes were rotator cuff and LHBT healing with magnetic resonance imaging and acromiohumeral distance (AHD) through radiography. RESULTS: We evaluated 58 patients, 29 in each group. At the end of the follow-up there were no statistically significant differences between groups in American Shoulder and Elbow Surgeon (76.1 vs. 80.4, P = .761), University of California at Los Angeles (27.1 vs. 29.1, P = .634), or visual analog scale scores (1.3 vs. 1.1, P = .781). Additionally, rotator cuff healing rates (48.3% vs. 44.8%, P = .402) and LHBT healing rates (79.3% vs. 82.7%, P = .738) were similar. AHD increased in both groups, with no significant difference in delta AHD (P = .513). Both groups showed significant clinical improvement over time in all evaluated outcomes (P < 0,01). No postoperative complications were reported. CONCLUSIONS: We could not identify an advantage of open repair with LHBT rerouting as reinforcement over conventional open repair. Nonetheless, all clinical scores improved at the end of the 24 months of follow-up in both groups.

Humans↗
PubMed2026

AI echo INSIGHT study: A prospective blinded randomized trial of artificial intelligence echocardiogram interpretation.

BACKGROUND: Transthoracic echocardiography (TTE) is the most commonly performed cardiac imaging modality with over 30 million studies annually. Demand for timely expert interpretation continues to outpace capacity, creating diagnostic delays and inter-observer variability that impact patient care. Recent research has suggested computer vision artificial intelligence (AI) models can generate accurate preliminary comprehensive TTE reports, however, prospective evaluation is needed to determine whether AI-assisted TTE interpretation can improve clinician efficiency while preserving diagnostic accuracy. METHODS: AI ECHO INSIGHT is a prospective randomized blinded clinical trial conducted at Kaiser Permanente Northern California that will evaluate 1200 historical TTE studies (1000 consecutive unselected studies plus 200 with moderate or greater valvular disease) interpreted using three workflows: (1) AI-generated preliminary report finalized by a blinded cardiologist (AI-assisted); (2) cardiologist-generated preliminary report finalized by a blinded cardiologist (cardiologist-assisted); and (3) sonographer-generated preliminary report finalized by a blinded cardiologist (sonographer-assisted). The primary outcome is the rate of substantial change between preliminary and final reports, comparing the AI-assisted workflow to the pooled cardiologist-assisted and sonographer-assisted workflows. Secondary outcomes include cardiologist interpretation time for report finalization, superiority testing for diagnostic accuracy, and reporting consistency. CONCLUSION: AI ECHO INSIGHT is a prospective randomized blinded clinical trial evaluating the clinical impact of AI-assisted TTE interpretation on diagnostic accuracy, cardiologist efficiency, and reporting consistency in real-world echocardiography workflows. TRIAL REGISTRATION: ClinicalTrials.gov registration number NCT07229300.

Humans↗