Resilience-Focused HIV Care to Promote Psychological Well-Being During COVID-19 and Other Catastrophes.

The COVID-19 pandemic has adversely affected people with HIV due to disruptions in prevention and care services, economic impacts, and social isolation. These stressors have contributed to worse physical health, HIV treatment outcomes, and psychological wellness. Psychological sequelae associated with COVID-19 threaten the overall well-being of people with HIV and efforts to end the HIV epidemic. Resilience is a known mediator of health disparities and can improve psychological wellness and behavioral health outcomes along the HIV Continuum of Care. Though resilience is often organically developed in individuals as a result of overcoming adversity, it may be fostered through multi-level internal and external resourcing (at psychological, interpersonal, spiritual, and community/neighborhood levels). In this Perspective, resilience-focused HIV care is defined as a model of care in which providers promote optimum health for people with HIV by facilitating multi-level resourcing to buffer the effects of adversity and foster well-being. Adoption of resilience-focused HIV care may help providers better promote well-being among people living with HIV during this time of increased psychological stress and help prepare systems of care for future catastrophes. Informed by the literature, we constructed a set of core principles and considerations for successful adoption and sustainability of resilience-focused HIV care. Our definition of resilience-focused HIV care marks a novel contribution to the knowledge base and responds to the call for a multidimensional definition of resilience as part of HIV research.

Predictors of State-Level Stay-at-Home Orders in the United States and Their Association With Mobility of Residents.

OBJECTIVE: To evaluate predictors of stay-at-home order adoption among US states, as well as associations between order enactment and residents' mobility. DESIGN: We assess associations between state characteristics and adoption timing. We also assess associations between enactment and aggregate state-level measures of residents' mobility (Google COVID-19 Community Mobility Reports). SETTING: The United States. PARTICIPANTS: Adoption population: 50 US states and District of Columbia. Mobility population: state residents using devices with GPS tracking accessible by Google. INTERVENTION AND EXPOSURES: State characteristics: COVID-19 diagnoses per capita, 2016 Trump vote share, Republican governor, Medicaid expansion status, hospital beds per capita, public health funding per capita, state and local tax revenue per capita, median household income, population, percent residents 65 years or older, and percent urban residents. Mobility exposure: indicator of order enactment by March 29, 2020 (date of mobility data collection). MAIN OUTCOME MEASURES: Order adoption timing: days since adoption of first order. Mobility: changes in mobility to 6 locations from February 6 to March 29, 2020. RESULTS: In bivariate models, order adoption was associated with COVID-19 diagnoses (hazard ratio [HR] = 1.01; 95% confidence interval [CI], 1.00 to 1.01), Republican governor (HR = 0.24; 95% CI, 0.13 to 0.44), Medicaid expansion (HR = 2.50; 95% CI, 1.40 to 4.48), and hospital capacity (HR = 0.43; 95% CI, 0.26 to 0.70), consistent with findings in the multivariate models. Order enactment was positively associated with time at home (beta (B) = 1.31; 95% CI, 0.35 to 2.28) and negatively associated with time at retail and recreation (B = -7.17; 95% CI, -10.89 to -3.46) and grocery and pharmacy (B = -8.28; 95% CI, -11.97 to -4.59) locations. Trump vote share was associated with increased mobility for 4 of 6 mobility measures. CONCLUSIONS AND RELEVANCE: While politics influenced order adoption, public health considerations were equally influential. While orders were associated with decreased mobility, political ideology was associated with increased mobility under social distancing policies.