Integrating technology to increase the reach of CBT-I: state of the science and challenges ahead.

In this Round Table Discussion, an international panel of experts discuss issues related to the use of technology in the delivery of cognitive behavioral therapy for insomnia (CBT-I), in order to increase its reach. Panelists were, in alphabetical order, Carmela Alcántara, PhD, an Associate Professor at Columbia University School of Social Work in New York, USA, Bei Bei, PhD., an Associate Professor at Monash University in Melbourne, Australia, Charles M. Morin, PhD., a Professor of Psychology at Laval University in Quebec City, Canada, and Annemieke A. van Straten, PhD., a Professor of Clinical Psychology at the Vrije Universiteit in Amsterdam, the Netherlands. The session was chaired by Rachel Manber, PhD., a Professor of Psychiatry and Behavioral Sciences at Stanford University, in Palo Alto, California, USA. In their introductions each panelist discussed the use of technology in their respective country. All indicated that the most common way technology is used in the treatment of insomnia is through the use of video calls (telemedicine) to deliver individual CBT-I, and that this is mostly covered by publicly funded health insurance programs such as Medicare, especially since the COVID-19 pandemic. There are also some fully automated insomnia treatment programs, but they're often not covered by Medicare or other health insurance programs.

Design and study protocol for a cluster randomized trial of a multi-faceted implementation strategy to increase the uptake of the USPSTF hypertension screening recommendations: the EMBRACE study.

BACKGROUND: The US Preventive Services Task Force (USPSTF) recommends out-of-office blood pressure (BP) testing to exclude white coat hypertension prior to hypertension diagnosis. Despite improved availability and coverage of home and 24-h ambulatory BP monitoring (HBPM, ABPM), both are infrequently used to confirm diagnoses. We used the Behavior Change Wheel (BCW) framework, a multi-step process for mapping barriers to theory-informed behavior change techniques, to develop a multi-component implementation strategy for increasing out-of-office BP testing for hypertension diagnosis. Informed by geographically diverse provider focus groups (n = 63) exploring barriers to out-of-office testing and key informant interviews (n = 12), a multi-disciplinary team (medicine, psychology, nursing) used rigorous mixed methods to develop, refine, locally adapt, and finalize intervention components. The purpose of this report is to describe the protocol of the Effects of a Multi-faceted intervention on Blood pRessure Actions in the primary Care Environment (EMBRACE) trial, a cluster randomized control trial evaluating whether a theory-informed multi-component strategy increased out-of-office testing for hypertension diagnosis. METHODS/DESIGN: The EMBRACE Trial patient sample will include all adults ≥ 18 years of age with a newly elevated office BP (≥ 140/90 mmHg) at a scheduled visit with a primary care provider from a study clinic. All providers with scheduled visits with adult primary care patients at enrolled ACN primary care clinics were included. We determined that the most feasible, effective implementation strategy would include delivering education about out-of-office testing, demonstration/instruction on how to perform out-of-office HBPM and ABPM testing, feedback on completion rates of out-of-office testing, environmental prompts/cues via computerized clinical decision support (CDS) tool, and a culturally tailored, locally accessible ABPM testing service. We are currently comparing the effect of this locally adapted multi-component strategy with usual care on the change in the proportion of eligible patients who complete out-of-office BP testing in a 1:1 cluster randomized trial across 8 socioeconomically diverse clinics. CONCLUSIONS: The EMBRACE trial is the first trial to test an implementation strategy for improving out-of-office testing for hypertension diagnosis. It will elucidate the degree to which targeting provider behavior via education, reminders, and decision support in addition to providing an ABPM testing service will improve referral to and completion of ABPM and HBPMs. TRIAL REGISTRATION: Clinicaltrials.gov , NCT03480217 , Registered on 29 March 2018.

Applying Artificial Intelligence to Predict Self-Reported Poor Health Among Black and Hispanic Caregivers with Mild Cognitive Impairment.

We applied artificial intelligence techniques to build correlate models that predict general poor health in a national sample of caregivers with mild cognitive impairment (MCI). Our application of deep learning identified age, duration of caregiving, amount of alcohol intake, weight, myocardial infarction (MI) and frequency of MCI symptoms for Blacks and Hispanics whereas frequency of MCI symptoms, income, weight, coronary heart disease (CHD), age, and use of e-cigarette for the others as the strongest correlates of poor health among 81 variables entered. The application of artificial intelligence efficiently provided intervention strategies for Black and Hispanic caregivers with MCI.

Objective short sleep duration and 24-hour blood pressure.

BACKGROUND: Short sleep duration is a contributor to cardiovascular disease (CVD) events and mortality. Short sleep duration is associated with an increased risk of high clinic blood pressure (BP). BP measured outside the clinic using 24-h ambulatory blood pressure monitoring (ABPM) is a better predictor of an individual's CVD risk. We examined the association between objectively-assessed sleep duration and 24-h ambulatory blood pressure (ABP). METHODS: A total of 893 working adults underwent sleep and ABPM. Participants were fitted with an ABPM device, and measures were taken at 28-30 min intervals. Objective sleep duration, and times of wakefulness and sleep during the 24-h ABPM period were derived from wrist-worn actigraphy. Linear regression, adjusted for age, sex, race/ethnicity, body mass index, smoking status, and diabetes were conducted on the relationship between sleep duration and the ABP measures. RESULTS: Mean age of participants (final n = 729, 59.5% female, 11.9% Hispanic) was 45.2 ± 10.4 y. Mean actigraphy-derived sleep duration was 6.8 ± 1.2 h. Sleep duration <6 h was associated with a 1.73 mmHg higher 24-h systolic BP (p = 0.031) and 2.17 mmHg higher 24-h diastolic BP (p < 0.001). Shorter sleep duration was not associated with mean awake or asleep systolic BP (p = 0.89 and p = 0.92) or mean awake or asleep diastolic BP (p = 0.30 and p = 0.74). CONCLUSIONS: To our knowledge, this is the largest study conducted which assessed sleep duration objectively while measuring 24-h ABP. Shorter sleep duration is associated with higher 24-h BP and potentially cardiovascular risk.

Transnational, social, and neighborhood ties and smoking among Latino immigrants: does gender matter?

OBJECTIVES: We examined whether transnational ties, social ties, and neighborhood ties were independently associated with current smoking status among Latino immigrants. We also tested interactions to determine whether these associations were moderated by gender. METHODS: We conducted a series of weighted logistic regression analyses (i.e., economic remittances, number of return visits, friend support, family support, and neighborhood cohesion) using the Latino immigrant subsample (n = 1629) of the National Latino and Asian American Study in 2002 and 2003. RESULTS: The number of past-year return visits to the country-of-origin was positively associated with current smoker status. Gender moderated the association between economic remittances, friend support, and smoking. Remittance behavior had a protective association with smoking, and this association was particularly pronounced for Latino immigrant women. Friendship support lowered the odds of smoking among men, but not women. CONCLUSIONS: Our results underscore the growing importance of transnational networks for understanding Latino immigrant health and the gendered patterns of the associations between social ties, transnational ties, and health risk behaviors.