Strategies to maintain recovery from alcohol problems during the COVID-19 pandemic: Insights from a mixed-methods national survey of adults in the United States

Trends in primary, booster, and updated COVID-19 vaccine readiness in the United States, January 2021-April 2023: Implications for 2023-2024 updated COVID-19 vaccines

OBJECTIVE

COVID-19 vaccines have mitigated the severity of COVID-19 and its sequelae. The emergence of new SARS-CoV-2 variants and waning immunity conferred by COVID-19 vaccination have necessitated booster and updated COVID-19 vaccines. This study examined trends in vaccine readiness-a composite measure of intention and uptake-for the primary, booster, and 2022-2023 updated (bivalent) COVID-19 vaccines among U.S. adults.

METHODS

Data from the nationally-representative U.S. Department of Health and Human Services' COVID-19 Monthly Outcome Survey from January 2021 to April 2023 were analyzed (N = 140,180). We conducted pairwise comparisons (weighted t-tests) to assess for significant between-month differences in the proportion of participants in each vaccine-readiness category (vaccine ready, wait and see, and no vaccine intention) for the following outcomes: (1) primary; (2) booster; and (3) updated COVID-19 vaccine readiness.

RESULTS

From January 2021 to April 2023, significant increases in the primary vaccine ready group were accompanied by decreases in the wait and see and no vaccine intention groups (p < 0.001). From January to September 2022, the no booster intention group notably increased (p < 0.001), whereas the booster ready group decreased (p < 0.001), and the wait and see group remained stable (p = 0.116). From October 2022 to April 2023, the no updated vaccine intention group increased (p < 0.001), the wait and see group decreased (p < 0.01), and the updated vaccine ready group remained unchanged (p = 0.357).

CONCLUSIONS

Findings show decreased vaccine readiness for the booster and 2022-2023 updated (bivalent) COVID-19 vaccines relative to the primary COVID-19 vaccines. Implications for the 2023-2024 updated COVID-19 vaccines are discussed.

Evaluation of 6 years of eHealth data in the alcohol use disorder field indicates improved efficacy of care

Background

Predictive eHealth tools will change the field of medicine, however long-term data is scarce. Here, we report findings on data collected over 6 years with an AI-based eHealth system for supporting the treatment of alcohol use disorder.

Methods

Since the deployment of Previct Alcohol, structured data has been archived in a data warehouse, currently comprising 505,641 patient days. The frequencies of relapse and caregiver-patient messaging over time was studied. The effects of both introducing an AI-driven relapse prediction tool and the COVID-19 pandemic were analyzed.

Results

The relapse frequency per patient day among Previct Alcohol users was 0.28 in 2016, 0.22 in 2020 and 0.25 in 2022 with no drastic change during COVID-19. When a relapse was predicted, the actual occurrence of relapse in the days immediately after was found to be above average. Additionally, there was a noticeable increase in caregiver interactions following these predictions. When caregivers were not informed of these predictions, the risk of relapse was found to be higher compared to when the prediction tool was actively being used. The prediction tool decreased the relapse risk by 9% for relapses that were of short duration and by 18% for relapses that lasted more than 3 days.

Conclusions

The eHealth system Previct Alcohol allows for high resolution measurements, enabling precise identifications of relapse patterns and follow up on individual and population-based alcohol use disorder treatment. eHealth relapse prediction aids the caregiver to act timely, which reduces, delays, and shortens relapses.