Audience: Public health officials and community
Project Overview: Rural areas experience relatively poor health outcomes. Barriers to healthcare access and utilization contribute to these poor outcomes, and telehealth can help overcome these barriers. However, we must first establish the digital infrastructure necessary to support telehealth in rural communities. The strategies presented in this article can help you improve digital infrastructure and the feasibility of telehealth in your rural community.
Strengthening Digital Infrastructure and Telehealth Capabilities for a Healthier Rural America
1.Introduction (Pull in the audience, establish the problem, and inform the audience that you will be sharing solutions)
2.Health disparities (Break down into the outcomes (i.e. motivation for taking action) and contributors (problems that need to be resolved))
3.Telehealth as a solution to rural healthcare access (Show audience why they should consider telehealth as a tool for rural communities)
4.Barriers to telehealth in rural areas (Briefly introduce challenges to using telehealth as a solution, and clarify that these are the areas where the audience can make an impact in order to support telehealth adoption)
5.Addressing the Digital Divide (Give examples of policies and programs that can help address the digital divide barriers to telehealth in rural areas caused by the digital divide and point out what more needs to be done in each of these policy areas)
6.Increasing Rates of Provider Adoption of Telehealth Services in Rural Communities (Give examples of policies and programs that can help address the provider related barriers to telehealth in rural areas caused by the digital divide and point out what more needs to be done in each of these policy areas)
7.Call to Action: As a public health official or community advocate, you can work to improve telehealth access in your rural communities (Next steps for the audience)
Sources:
Rural Health Information Hub. Rural Health Disparities. Available from: https://www.ruralhealthinfo.org/topics/rural-health-disparities.
Rural Health Information Hub. Specific Rural Populations that May Benefit from Telehealth. Available from: https://www.ruralhealthinfo.org/toolkits/telehealth/1/benefits-for-specific-populations.
Ellison, A. State-by-state breakdown of 130 rural hospital closures. 2020. Available from: https://www.beckershospitalreview.com/finance/state-by-state-breakdown-of-130-rural-hospital-closures.html.
One in 10 Americans Use Telehealth, But Nearly 75% Lack Awareness or Access, J.D. Power Finds, in PRNewsWire. 2019, J.D. Power. Available from: One in 10 Americans Use Telehealth, But Nearly 75% Lack Awareness or Access, J.D. Power Finds (prnewswire.com)
Perrin, A., Digital gap between rural and nonrural America persists. 2019. Available from Digital gap between rural and nonrural America persists Pew Research Center
National Rural Health Association. About Rural Health Care. Available from: https://www.ruralhealthweb.org/about-nrha/about-rural-health-care.
Rural Health Information Hub, Barriers to Telehealth in Rural Areas. Available from: Barriers to Telehealth in Rural Areas - RHIhub Toolkit (ruralhealthinfo.org)
Schadelbauer, R., Anticipating Economic Returns of Rural Telehealth. 2017. Available from Microsoft Word - Report - Final Times Roman.docx (ntca.org)
Rural Health Information Hub. Telehealth Use in Rural Healthcare. Available from: https://www.ruralhealthinfo.org/topics/telehealth.
Weigel, G., et al., Opportunities and Barriers for Telemedicine in the U.S. During the COVID-19 Emergency and Beyond, in Kaiser Family Foundation. 2020. Available from: Opportunities and Barriers for Telemedicine in the U.S. During the COVID-19 Emergency and Beyond KFF
HHS. Telehealth: Delivering Care Safely During COVID-19. Available from: https://www.hhs.gov/coronavirus/telehealth/index.html.
Cooper, T. Rural Digital Opportunity Fund (RDOF) – Map, Auction and Analysis. 2021; Available from: https://broadbandnow.com/report/rural-digital-opportunity-fund/.
USDA. Distance Learning & Telemedicine Grants. Available from: https://www.rd.usda.gov/programs-services/distance-learning-telemedicine-grants.
FCC. Emergency Broadband Benefit. Available from: https://www.fcc.gov/broadbandbenefit.
HHS and USDA, Rural Action Plan. 2020. Available from Department of Health and Human Services - Rural Action Plan - September 2020 (hhs.gov)
Jaret, P. Attracting the next generation of physicians to rural medicine. 2020; Available from: https://www.aamc.org/news-insights/attracting-next-generation-physicians-rural-medicine.
The first visualization shows rates of diabetes in rural and urban counties. This will help show how high rates of diabetes are in rural counties in particular as they will show the highest rates. I will use this visualization to help support my discussions about health disparities in rural areas by showing that the majority or rural counties have high rates of diabetes. I plan to also include several other health conditions of relevance such as substance use disorders, and unintentional injuries to showcase health conditions that are particularly prevalent in rural populations. As of now, I am consistently using orange to represent rural populations because it is an earthy color and purple to represent urban counties because it is a modern color. I carry this theme throughout my visualizations for consistency. These charts will serve as a visual emphasis for textual data that discusses the high average rates of these health conditions for rural areas compared to urban and suburban areas.
The second visualization shows broadband adoption in rural counties around the country. This will be a series of three maps which were hard to draw with only sketches. The first map as you see here will show broadband adoption in rural counties utilizing county averages, and while there will be many counties with somewhat low rates, there will not be that much variance. The next two maps (not pictured here due to limitations of sketching by hand) will display the same data at the census tract and census block level. Each increasingly local level of geography will reveal how much more broadband varies by community rather than just by county. In a way, the county level only maps paint a deceptively bright picture. This will help explain why this is largely geared toward public health officials and advocates looking to make a difference in a particular community because though funding is often federal or state level, the unique problems are very local.
The third visualization shows a dot plot comparing rural and urban providers and what they view as barriers to telehealth in their communities. Rural providers tend to worry more about clinic infrastructure, long-term affordability of telehealth infrastructure, patient engagement, and whether their patients will be able to access telehealth. This not only provides support to the problem of slop provider uptake, but also connects the provider uptake back to the infrastructure and literacy issues that will be discussed in the sections before. I chose to use a dot plot with percentages rather than a bar plot because the dot plot will emphasize the difference between the two dots more spatially as it lies along the axis and can be more easily compared to the difference between rural and urban among different issues. This allows the viewer to see more clearly which issues the rural and urban providers differ in opion on more so than others without the total magnitude of the percentages being as distracting as it would in a bar chart. I also maintained the use of the purple orange color scheme throughout this visualization to maintain the same color themes, so viewers are more readily able to interpret the visualization and understand which responses are associated with rural versus urban providers.
Rural Health Disparities Overview - Rural Health Information Hub
I will use data from the rural health information hub to describe health disparities in rural areas. This source contains several tables that communicate disparities in key health indicators like mortality, obesity, and heart disease. Additionally, it contains summary research that describes other rural health disparities that will support the story telling aspect of this project. Should I decide to include visualizations that require health statistics not available directly on this page, there are several links to additional useful pages.
Demographics of Internet and Home Broadband Usage in the United States | Pew Research Center
This data from Pew contains longitudinal data on overall internet use, broadband availability, and smartphone reliance. I plan to use each of these characteristics to examine recent trends in digital infrastructure accessibility and use among rural, suburban, and urban populations in my visualizations. This data will help explain how limited broadband availability has played a role in the limited use of telehealth and low levels of digital literacy in rural communities.
Mapping Broadband Health in America | Federal Communications Commission (fcc.gov)
The FCC data contains county level measures of broadband and many health statistics and utilization factors. I will use this data to help map characteristics of rural counties such as patient to population ratio, the number of beds available, and the average speed of broadband available.
Indicators - Census Blocks CSV - Overview (arcgis.com)
Indicators of Need - Tract CSV - Overview (arcgis.com)
Data from the National Telecommunications and Information Administration provides better data than the FCC for exploring the availability of broadband in local communities. The county level data provided by the FCC can be deceptive when there are high levels of variation in a county. I will use this data to produce a series of maps that explore how the disparities in broadband availability among rural communities become more visible as you drill down to more localized geographic regions. Additionally, I utilize this map to spotlight Pennsylvania in a case study example exploring broadband limitations in an individual state and how these variations correspond with other characteristics like health statistics and health providers.
Rural vs. urban telehealth: a look at the stats | RingCentral
This website contains publicly accessible data from a survey on the trend of increased telehealth uptake during COVID-19 split by rural and urban groups. Much of this data focuses on the provider’s view of telehealth, and I plan to use this to support my section on provider related barriers to telehealth uptake. Specifically, I will use this to build a visualization that communicates the barriers rural providers (versus urban providers) cite to telehealth uptake and tie these in to my recommendations.
I will utilize shorthand to develop my final project. Shorthand allows for visualizations to be smoothly integrated with text, such that the visualizations are immersive. I plan to start by conducing background research and improving my outline for the written content. Next, I will continue exploring my data and create first drafts of my visualizations. I will integrate the visuals into my outline so I can assess how well they support one another.
Once I have drafts of all my materials, I intend to seek feedback from my peers on the quality of the visualizations and how well they support my story. This will help me improve my current visualizations and identify any areas where additional data and visualizations could support my story. I will incorporate this feedback into my visualizations and further build out my story, so that it is fully written. Once I have incorporated all this feedback, I will integrate my second round of drafts into shorthand.
Similarly to the first round of feedback, I will seek peer feedback for my second drafts. I will focus the questions for this feedback more directly on the impact of the written text and data visualizations by asking questions like ‘How motivating do you find this section?’ and ‘How could this be more impactful?’. I will then incorporate this feedback into my final shorthand project to ensure that it is clear and impactful.