Lights, Facts, and Goals: A Novel Framework to Enhance Community Health Messaging Campaign Design, Implementation, and Assessment.

The spread of health misinformation has made the task of health communicators more difficult. However, the success of health messaging hinges not only on meaningful message content but also on the credibility of who is delivering the message. "Trusted messengers," like local leaders and community-based organizations, have a greater ability to influence improvements in community health, due to their shared cultural experience with their communities. Health communication agencies should empower trusted messengers with the tools they need to succeed in health communication. One tool critical for their success is a succinct health messaging framework to plan and implement health messaging. Marketing has "See, Think, Do"-a simple, practical framework used to influence consumer purchases. As a more trustworthy corollary, we propose the "Lights, Facts, and Goals" framework, a concise, authentic, and transparent method for planning, implementing, and assessing health messaging campaigns that influence health improvements. "Lights" refers to different methods of reaching communities like trusted messengers, advertisements, and text messages. "Facts" refers to key sourced scientific information relevant to a specific aspect of community health. "Goals" refers to actions community members can take to improve their health in connection with the communicated health facts. This article describes how the "Lights, Facts, and Goals" framework both simplifies the creation and communication of scientifically sound health messaging and strengthens the partnership between health agencies and trusted messengers in the community. Through "Lights, Facts, and Goals," community-based organizations, community leaders, and their partners will be more effective at improving community health through messaging.

Assessing COVID-19 Vaccine Hesitancy and Trust in Home Health Workers in New York City: A Pilot Study.

OBJECTIVE: This study aimed to identify characteristics surrounding COVID-19 vaccine hesitancy and trust in home health workers (HHWs) in New York City. METHODS: Data were collected from HHWs through focus group sessions conducted via Zoom. We developed a facilitator guide using the 5C Scale, a validated psychometric tool for assessing vaccine hesitancy. We performed qualitative thematic analysis using a combined inductive and deductive approach. RESULTS: Major themes that emerged included the following: conflicting information decreased vaccine confidence; individualized outreach is valued when information gathering; mandates and financial incentives may increase skepticism; low health literacy and conflict in personal relationships are barriers to acceptance; and experiencing a severe infection and fear of exposure at work increase acceptance. CONCLUSIONS: Based on our study, personalized yet consistent messaging may be key to reaching hesitant HHWs.

Including the Public in Public eHealth: The Need for Community Participation in the Development of State-Sponsored COVID-19-Related Mobile Apps.

The COVID-19 pandemic has overwhelmed health care systems worldwide, particularly in underresourced communities of color with a high prevalence of pre-existing health conditions. Many state governments and health care entities responded by increasing their capacity for telemedicine and disease tracking and creating mobile apps for dissemination of medical information. Our experiences with state-sponsored apps suggest that because many of these eHealth tools did not include community participation, they inadvertently contributed to widening digital health disparities. We propose that, as eHealth tools continue to expand as a form of health care, more attention needs to be given to their equitable distribution, accessibility, and usage. In this viewpoint collaboratively written by a minority-serving community-based organization and an eHealth academic research team, we present our experience participating in a community advisory board working on the dissemination of the COVID Alert NY mobile app to illustrate the importance of public participation in app development. We also provide practical recommendations on how to involve community representatives in the app development process. We propose that transparency and community involvement in the process of app development ultimately increases buy-in, trust, and usage of digital technology in communities where they are needed most.

Men's and women's health beliefs differentially predict coronary heart disease incidence in a population-based sample.

OBJECTIVE: To examine gender differences in the association between beliefs in heart disease preventability and 10-year incidence of coronary heart disease (CHD) in a population-based sample. METHODS: A total of 2,688 Noninstitutionalized Nova Scotians without prior CHD enrolled in the Nova Scotia Health Study (NSHS95) and were followed for 10 years. Risk factors, health behaviors, and incident CHD were assessed. Participants responded "yes" or "no" to a question about heart disease preventability. Survival models, adjusted for age, income, total and high-density lipoprotein cholesterol, and systolic blood pressure, were used to estimate the relation between health belief and incident CHD. Gender differences in the relation between health beliefs and health behaviors were assessed. RESULTS: Gender was a significant moderator of the relation between belief and CHD incidence; specifically, women who believed heart disease could be prevented were less likely to have incident CHD events compared with women who believed heart disease could not be prevented (hazard ratio [HR] = 0.36, 95% confidence interval [CI] = 0.24-0.55, p < .001). This relation was not found for men. Belief was also related to smoking behavior for women (ß = -0.70, odds ratio [OR] = 0.50, 95% CI = 0.33-0.74, p = .001) but not for men. Smoking significantly mediated the relation between health beliefs and incident CHD for women (z = -1.96, p = .05), but not for men. CONCLUSION: Health belief in prevention and subsequent smoking was an important independent predictor of incident CHD in women but not in men.

Depression and cardiovascular disease: selected findings, controversies, and clinical implications from 2009.

We systematically searched published empirical research on depression and cardiovascular disease (CVD) and found 494 unique articles published in 2009. Several particularly notable and provocative findings and controversies emerged from this survey of the 2009 literature. First, multiple large observational studies found that antidepressant use was associated with increased risk of incident stroke, CVD, or sudden cardiac death. Second, four randomized controlled trials on depression interventions in CVD patients reported important efficacy results that should guide future trials. Finally, the vigorous debate on whether patients with CVD should be routinely screened (and subsequently treated) for depression continued in 2009 even as some observed that routine screening for CVD in depressed patients is more evidence-based and appropriate. This article reviews these selected provocative findings and controversies from our search and explores their clinical implications.