Is the future of healthcare shifting towards employing clinical analysis technology to administer value-based care? Analytic technology allows healthcare providers to understand their patient population better using social determinants of health. The analytic technology uses electronic health records to measure health trends amongst the targeted population.
Value-based care is collecting relevant data sources specific to socio-economic and social determinants of health unique to a specific population to plan appropriate interventions. These strategies have the potential to improve health outcomes specifically targeted areas at lower costs. Cost can be lower through a thorough analytical investigation of community needs trends and provider behaviors that increase cost. Carilion Clinic in Virginia is currently utilizing value-based care and analytical technology to serve its community better.
For more information check out this article:
The U.S. Department of Agriculture’s Food Safety and Inspection Service (FSIS) recalled 90,000 pounds of ham. Johnston County Hams recalled five different ham products Tuesday. The contaminated meat product got distributed to Maryland, North Carolina, New York, South Carolina, and Virginia. These are the products:
Country Style Fully Cooked Boneless Deli Ham
Ole Fashioned Sugar Cured The Old Dominion Brand Hams Premium Fully Cooked Country Ham
Padow’s Hams & Deli, Inc. Fully Cooked Country Ham Boneless Glazed With Brown Sugar
Premium Fully Cooked Country Hamm Less Salt
Goodnight Brothers Country Ham Boneless Fully Cooked
The Center for Disease Control and Prevention (CDC) led an epidemiological investigation of listeriosis after reports from the FSIS. Through the combined efforts of local state departments and the CDC, the outbreak link is between illness and Johnston Country Ham products. The recall stemmed from ham products possibly exposed to Listeria monocytogenes. Listeria is one of the most common foodborne illness-causing agents. This example continues the streak of the foodborne illness outbreaks in the U.S. My last blog touched more on this public health issue.
For news about this outbreak check out:
For more information on the foodborne illness, outbreak checks my last post.
One public health issue that needs more attention is foodborne disease outbreaks. Foodborne outbreaks account for approximately 9.2 million illnesses each year. According to the Center of Disease Control and Prevention (CDC), approximately 800 foodborne disease outbreaks are reported annually, resulting in roughly 15,000 illnesses (18% of which resulted in hospitalization) and 20 deaths each year.
Figure 1: Displays the most common pathogens that cause food borne illness, outbreaks, hospitalization, and deaths from 2009-2015.
Foodborne outbreaks are the result of two or more cases of foodborne illness caused by a similar pathogen. When foodborne outbreaks occur, the cases are reported to both the local and state department. After gathering information from those departments, the CDC follows up with an investigation. It is always important to be aware of warnings for food outbreaks and food recall alerts. Be careful of what you eat. Remember to Wash your hands when preparing and handling foods.
For more information click the following link:
Short term health insurance sometimes referred to as term health insurance serves to fill in the gap in health coverage while in a state of transition. Transition periods such as in-between jobs, awaiting benefits from a new job, missed open enrollment time slot, and/or a college student fresh out of school are a few occasions when short term health insurance is necessary.
Short term health insurance under the Obama Administration developed regulations to limit the length up to three months with no opportunity for renewal. Currently, under the Trump Administration short term health insurance can be purchased for policies lasting up to 1 year with opportunity for renewal a maximum of two times.
Short term health insurance is regulated through the states not the Affordable Care Act which set specific stipulations and guidelines for insurance companies to abide by. Due to this, short term insurance has large coverage gaps, some not including maternity leave, mental health care, or prescription drugs. People with short-term health insurance policies have coverage but “skinny coverage”.
Preventive oral health care is essential for one’s overall health. For children, it is important to address oral health needs earlier in life to prevent oral health issues from forming and progressing into adulthood. Below is a map of the percentage of children in Georgia with financial access to preventive dental care. This map comes from an article written by Cao, Gentili, Griffin, Griffin & Serban (2017) titled, “Disparities in Preventive Dental Care Among Children in Georgia.”
The authors of the article state that financial access is, “the percentage of children who either are eligible for public insurance or have the ability to afford dental care through commercial insurance or ability to pay out-of-pocket,” (Cao et al., 2017). Although there are plenty of children who are eligible to receive public funding for preventive dental care in GA, only 27.9% of the 4,123 dentists in GA who offer preventive dental services to children accept public insurance, (Cao et al., 2017).
What are your thoughts? What does financial access to preventive dental care mean to you? Is this an accurate representation of financial access? I invite you to read more of the article on the CDC’s website, here.
Source: Cao S, Gentili M, Griffin PM, Griffin SO, Serban N. Disparities in Preventive Dental Care Among Children in Georgia. Prev Chronic Dis 2017;14:170176. DOI: http://dx.doi.org/10.5888/pcd14.170176.
Today’s map shows the rate of self reported pesticide related illness by state for the year of 2014 per 100,000 person. From the map we can see some states had rates ranging as low as 0.00 to 0.27 indicated by the yellow shading. In contrast some states, such as Alaska, Florida, Alabama, Mississippi, Arkansas, New York, Kansas and Virginia had rates as high as 0.87 to 2.56 indicated by the dark blue shading. However, its important to note that because these are self-reported rates the date is subjected to under-reporting. In addition, because these exposures are self-reported both the type of pesticide and the degree of illness associated with the exposure may be mis-classified since the designation by the poison control center for both is based on the description provided by the caller.
According to the CDC farmworkers are among those when are subjected to pesticide exposure. For more information on migrant workers click here.
By Julia Watson
Check out this map that shows the percent of homes built prior to 1950 by county for year 2000. From the data we can see many counties within the Midwestern and Northeastern states had a large percentage, 41.96 to 68.75, of homes built prior to 1950 indicated by the darker shading. In contrast counties within states such as Alaska, Hawaii, and various Western and Southeastern states had a low percentage of homes built prior to 1950 indicated by the yellow/yellowish shading. Although older homes can give the owner a sense of history there are some public health factors one might consider such as radon, lead poisoning, mold and asbestos. For instance according to the CDC homes built prior to 1978 are likely to have a lead-based pain and that chance increases the older the home is.
By Julia Watson
Research by two Iowa State University economists shows there are not enough high-skilled jobs in Iowa to keep qualified people from leaving the state. Researchers found Iowa was competitive in jobs requiring a high school degrees, but lacking in having skilled workers for jobs requiring a bachelors degree. Check out this interesting map which depicts the domestic migration patter of highly educated workers. For more information click here.
By Julia Watson
Interesting data by the CDC regarding morbidity and mortality of syphilis among homosexual males and bisexuals. For more information click here.
By Julia Watson
Check out this map which shows the percent of people living with HIV who were uninsured by county for the year of 2014 ages 13 and older. From the map we can see that a large portion of counties within Hawaii, the north east, and some midwest states had some of the lowest percentages of people with HIV who where uninsured indicated by the yellow shading. In contrast states in the south and west had some of the highest percentages of people living with HIV who were uninsured. We can see Alaska and Texas were predominantly shaded dark, indicating percentages ranging as high as 19 to 39.
By Julia Watson