Reach Out Emergency Department: Partnering With an Economically Disadvantaged Community in the Development of a Text-Messaging Intervention to Address High Blood Pressure.

Background. Hypertension affects nearly 30% of the U.S. adult population. Due to the ubiquitous nature of mobile phone usage, text messaging offers a promising platform for interventions to assist in the management of chronic diseases including hypertension, including among populations that are historically underserved. We present the intervention development of Reach Out, a health behavior theory-based, mobile health intervention to reduce blood pressure among hypertensive patients evaluated in a safety net emergency department primarily caring for African Americans. Aims. To describe the process of designing and refining text messages currently being implemented in the Reach Out randomized controlled trial. Method. We used a five-step framework to develop the text messages used in Reach Out. These steps included literature review and community formative research, conception of a community-centered behavioral theoretical framework, draft of evidence-based text messages, community review, and revision based on community feedback and finalization. Results. The Reach Out development process drew from pertinent evidence that, combined with community feedback, guided the development of a community-centered health behavior theory framework that led to development of text messages. A total of 333 generic and segmented messages were created. Messages address dietary choices, physical activity, hypertension medication adherence, and blood pressure monitoring. Discussion. Our five-step framework is intended to inform future text-messaging-based health promotion efforts to address health issues in vulnerable populations. Conclusion. Text message-based health promotion programs should be developed in partnership with the local community to ensure acceptability and relevance.

Disability in Community-Dwelling Older Adults: Exploring the Role of Stroke and Dementia.

Objectives: We sought to determine the relative contributions of stroke, dementia, and their combination to disability and racial differences in disability among community-dwelling older adults. Methods: We performed a cross-sectional study of 6848 community-dwelling older adults. We evaluated the associations of stroke, dementia, and their combination with activities of daily living (ADL) limitations (range 0-7). We then explored the impact of stroke and dementia on race differences in ADL limitations using Poisson regression after accounting for sociodemographics and comorbidities. Results: After full adjustment, ADL limitations differed among older adults with stroke and dementia. Older adults without stroke or dementia had 0.32 (95% CI 0.29-0.35) ADL limitations compared to 0.64 (95% CI 0.54-0.73) with stroke, 1.36 (95% CI 1.20-1.53) with dementia and 1.84 (95% CI 1.54-2.15) with stroke and dementia. Overall, blacks had 0.27 (95%CI 0.19-0.36) more ADL limitations than whites. Models accounting for stroke led to a 3.7% (95%CI 2.98%-4.43%) reduction in race differences, while those for dementia led to a 29.26% (95%CI 28.53%-29.99%) reduction and the stroke-dementia combination -1.48% (95%CI -2.21% to -0.76) had little impact. Discussion: Older adults with stroke and dementia have greater disability than older adults with either of these conditions alone. However, the amount of disability experienced by older adults with stroke and dementia is less than the sum of the contributions from stroke and dementia. Dementia is likely a key contributor to race differences in disability.

Association between viral seasonality and meteorological factors.

Numerous viruses can cause upper respiratory tract infections. They often precede serious lower respiratory tract infections. Each virus has a seasonal pattern, with peaks in activity in different seasons. We examined the effects of daily local meteorological data (temperature, relative humidity, "humidity-range" and dew point) from Edinburgh, Scotland on the seasonal variations in viral transmission. We identified the seasonality of rhinovirus, adenovirus, influenza A and B viruses, human parainfluenza viruses 1-3 (HPIV), respiratory syncytial virus (RSV) and human metapneumovirus (HMPV) from the 52060 respiratory samples tested between 2009 and 2015 and then confirmed the same by a generalised linear model. We also investigated the relationship between meteorological factors and viral seasonality. Non-enveloped viruses were present throughout the year. Following logistic regression adenovirus, influenza viruses A, B, RSV and HMPV preferred low temperatures; RSV and influenza A virus preferred a narrow "humidity-range" and HPIV type 3 preferred the season with lower humidity. A change (i.e. increase or decrease) in specific meteorological factors is associated with an increase in activity of specific viruses at certain times of the year.