Trust and virtual communication during the COVID-19 pandemic for adults with asthma from low-income neighborhoods: What have we learned?

BACKGROUND: Low-income and marginalized adults disproportionately bear the burden of poor asthma outcomes. One consequence of the structural racism that preserves these inequities is decreased trust in government and health care institutions. OBJECTIVE: We examined whether such distrust extended to health care providers during the pandemic. METHODS: We enrolled adults living in low-income neighborhoods who had required a hospitalization, an emergency department visit, or a prednisone course for asthma in the prior year. Trust was a dichotomized measure derived from a 5-item questionnaire with a 5-point Likert scale response. The items were translated to the binary variable "strong" versus "weak" trust. Communication was measured using a 13-item questionnaire with a 5-point Likert scale. Logistic regression was used to examine the association between communication and trust, controlling for potential confounders. RESULTS: We enrolled 102 patients, aged 18 to 78 years; 87% were female, 90% were Black, 60% had some post-high school education, and 57% were receiving Medicaid. Of the 102 patients, 58 were enrolled before the March 12, 2020, pandemic start date, and 70 (69%) named doctors as their most trusted source of health information. Strong trust was associated with a negative response to the statement "It is hard to reach a person in my doctor's office by phone." There was no evidence of an association between the overall communication scores and trust. Satisfaction with virtual messaging was weaker among those with less trust. CONCLUSIONS: These patients trust their physicians, value their advice, and need to have accessible means of communication.

Clinic navigation and home visits to improve asthma care in low income adults with poorly controlled asthma: Before and during the pandemic.

Asthma-related deaths, hospitalizations, and emergency visits are more numerous among low-income patients, yet management guidelines do not address this high-risk group's special needs. We recently demonstrated feasibility, acceptability, and preliminary evidence of effectiveness of two interventions to improve access to care, patient-provider communication, and asthma outcomes: 1) Clinic Intervention (CI): study staff facilitated patient preparations for office visits, attended visits, and afterwards confirmed patient understanding of physician recommendations, and 2) Home Visit (HV) by community health workers for care coordination and informing clinicians of home barriers to managing asthma. The current project, denominated "HAP3," combines these interventions for greater effectiveness, delivery of guideline-based asthma care, and asthma control for low-income patients recruited from 6 primary care and 3 asthma specialty practices. We assess whether patients of clinicians receiving guideline-relevant, real-time feedback on patient health and home status have better asthma outcomes. In a pragmatic factorial longitudinal trial, HAP3 enrolls 400 adults with uncontrolled asthma living in low-income urban neighborhoods. 100 participants will be randomized to each of four interventions: (1) CI, (2) CI with HVs, (3) CI and real-time feedback to asthma clinician of guideline-relevant elements of patients' current care, or (4) both (2) and (3). The outcomes are asthma control, quality of life, ED visits, hospitalizations, prednisone bursts, and intervention costs. The COVID-19 pandemic struck 6.5 months into recruitment. We describe study development, design, methodology, planned analysis, baseline findings and adaptions to achieve the original aims of improving patient-clinician communication and asthma outcomes despite the markedly changed pandemic environment.

Impact of intervention methods on COVID-19 transmission in Shenzhen.

By March 31, 2020, COVID-19 had spread to more than 200 countries. Over 750,000 confirmed cases were reported, leading to more than 36,000 deaths. In this study, we analysed the efficiency of various intervention strategies to prevent infection by the virus, SARS-CoV-2, using an agent-based SEIIR model, in the fully urbanised city of Shenzhen, Guangdong Province, China. Shortening the duration from symptom onset to hospital admission, quarantining recent arrivals from Hubei Province, and letting symptomatic individuals stay at home were found to be the three most important interventions to reduce the risk of infection in Shenzhen. The ideal time window for a mandatory quarantine of arrivals from Hubei Province was between 10 January and January 17, 2020, while the ideal time window for local intervention strategies was between 15 and 22 January. The risk of infection could have been reduced by 50% if all symptomatic individuals had immediately gone to hospital for isolation, and by 35% if a 14-day quarantine for arrivals from Hubei Province had been introduced one week earlier. Intervention strategies implemented in Shenzhen were effective, and the spread of infection would be controlled even if the initial basic reproduction number had doubled. Our results may be useful for other cities when choosing their intervention strategies to prevent outbreaks of COVID-19.