Dentists in Dallas, TX
Dentists in Dallas, TX
The map today shows the geographic location of dentists currently practicing in the Dallas, TX area. In the process of conducting our GIS research, we noticed some areas that were heavily populated with oral health services as well as areas that are likely experiencing disparities in oral health care.
To bring awareness to the current health conditions in low-income areas in South-Dallas such as Oakcliff and other communities, the Oral Health Needs Index (OHNI) made an easy-to-access, oral health focused, Geographic Information System (GIS) based tool that allows people to find services based on their environment and resources.
Identifying dental providers who accept Medicaid/Medicare and forms of dental insurance in areas of low socioeconomic status can be difficult but it also essential in tackling disparities. With OHNI, users get a clear visualization of communities with lack of services. Lack of transportation and finding participating providers is a major barrier for low-income and rural populations. Identifying these barriers and how they contribute to health disparities experienced by under-served communities is important. It allows for a better understanding of ways to combat the health disparities in disadvantaged communities.
The maps listed shows the location of practicing dentists in the Miami,Fl area. Areas that are highlighted in orange/red are areas that experienced a high number of residents reporting not having a working vehicle at their home. Based on our research and maps created, you can see a huge shortage in availability of practicing dentists in areas that are lacking transportation. What you will also notice is a huge difference in the amount of practicing dentists in South Miami compared to North Miami. Being able to bring a clear visualization of health disparities such as oral care is important in decreasing healthcare costs in the US.
With the use of these maps, we get clear visualizations of health disparities experienced by under-served communities and it allows for a better understanding of ways to combat these disparities.
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This map shows the geographic location of dentists currently practicing in Davidson-County as well as areas that are likely experiencing disparities in oral health care.
To bring awareness to the current health conditions in low-income areas such as North-Nashville, the Oral Health Needs Index (OHNI) made an easy-to-access, oral health focused, Geographic Information System (GIS) based tool that allows people to find services based on their environment and resources.
Identifying dental providers who accept Medicaid and other public dental insurance in areas of low socioeconomic status can be difficult. With OHNI, users get a clear visualization of communities with lack of services. Lack of transportation and finding participating providers is a major barrier for low-income and rural populations. Identifying these barriers and how they contribute to health disparities experienced by under-served communities is important. It allows for a better understanding of ways to combat disparities in disadvantaged communities.
Amazon’s new Echo Spot Smart home technology introduces a variety of ways that technology can play a central role in maintaining meaningful interactions between seniors and their caregivers and/or families. The seniors of today possess considerably more technological knowledge, and more comfort with technology, than their predecessors. This helps improve the potential for elders to successfully age at home.
Smart homes appliances provide valuable support to elderly parents, with Skype and FaceTime being good solutions to maintaining healthy interactions across long distances. However, they require both participants in calls to effectively utilize an app. They simply cannot substitute for human interaction. Amazon’s new Echo Show has the potential to reduce challenges that comes with video calls and new-aged technology. A brilliant idea it may be, there are still issues related to small screen size and placement, but this can spark the candle for more innovative ways to care for the elderly.
Texas has one of the highest vaccination rates for childhood diseases overall, 97.4%, according to CDC. But the number of children not vaccinated because of their parents’ “personal beliefs”—as opposed to medical reasons—has risen since 2003, when such exemptions were introduced, to more than 44,000 so far in 2017 according to CDC. The 4:3:1:3:3:1:4 series is an overall measure that encompasses many vaccines that are recommended for children. Various demographic factors (sex, gender, race, availability of commercial health insurance) influence the decision to get vaccinated, were looked at.
The county-level data on the socioeconomic factors were obtained from US Census Bureau (American Factfinder). The health insurance data was obtained from Small Area Health Insurance Estimates (SAHIE). The vaccination rates were obtained from Texas Immunization registry through DSHS. The data was cleaned and geocoded to be analyzed in ArcGIS to produce maps as shown in Figure 1. Pearson’s correlation coefficient was used to analyze the relationship between vaccination rates and independent variable.
The non-vaccination rates are higher around the major cities of Dallas, Austin-San Antonio, Houston and some northwest Texas counties. Population density has a positive correlation with the non-vaccination rate. Other demographic factors have a positive correlation in certain counties as opposed to others.
Source: American FactFinder, Texas Immunisation Registry
The limitation on the immunization data is it being an optional registry so it would not be accurate to run statistics off this information to estimate an immunization rate. In future, it is productive to expand this concept to use regression analysis to try to find the odds of the relationship expressed in the maps and to find if there is a significant association.
I came across an easy to use, easy to learn from, & very interactive site put together by the US National Library of Medicine. The name of the site is Tox Town, and here you can pick which neighborhood you would like to learn more about (city, farm, port, town, border region, or southwest) and learn locations in those neighborhoods where potential hazardous chemicals could be.
When I visited the site I choose the town as my neighborhood, and as you can see in the picture there are various locations given and are shown where they are on the map by just scrolling over the name. If you click on a particular location for example the school, additional information is given on what toxic substances could be present. Looking at the picture, you can also see names of chemicals that could be potentially found in the town, and again scrolling over the name will show you where the chemicals are found on the map.
This site is great for learning and helpful for all ages. Props to the NLM! Check out the site on http://toxtown.nlm.nih.gov/index.php
Posted by Eva Gerrits, Intern. Click here to see the site. Contact at firstname.lastname@example.org
The Dartmouth Institute for Health Policy and Clinical Practice has collected the largest non-governmental set of Medicare data in the United States. This data measures trends in hospitalization rates, ambulance use and medication use. The data gets pretty specific such as specific hospitals and subsets of the population with advanced cancer or chronic when looking at medication use.
The institute is working on two projects: examining data on pediatric care and examining how surgery falls in to treatment plans.
For more information, read the full article here and check out the institute’s website.
Juhi Mawla, Intern, email@example.com