Will the Future of Healthcare Shift Towards Value-based Care?

Social-Determinants

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:

https://www.healthcareitnews.com/news/analytics-social-determinants-drives-millions-value-based-savings-carilion

Image:

https://www.alliancebhc.org/general-news-announcements/alliance-grants-target-social-determinants-health/

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Surveillance of Hepatitis A Outbreaks: State-by-State Counts from 2017-2018

Hepatitis-A-map-state-counts

Source

In the midst of newsworthy Hepatitis A outbreaks in Kentucky, San Diego, and Michigan, this map depicts the number of Hepatitis A incidents across the United States from 2017-2018. The number fluctuations in each state over the last year is alarming considering that there are few national regulations being put into place in the realm of food safety. Catherine Huddle from Food Safety News explains that although the CDC recommends that all children should be vaccinated at the ages of 1 and 2, ” the CDC has not recommended Hepatitis A vaccinations for food service workers” (Huddle, 2018). We can only hope that more information and awareness of Hepatitis A outbreaks can help force a decline in it’s prevalence. For more information of state reported Hepatitis A incidents you can visit the Food Safety News web page.

Tribal Health Facility Sites – Total National Loan Repayment Sites 2017

Tribal-Health-Facility_loan-repayment

Check out this heat density map which shows the total number of tribal health facility sites health providers can work at to have some of their student loans forgiven. From the map we can see highly concentrated areas in states such as, Oklahoma, California, and Washington.

 

By Julia Watson

Percent of Uninsured Living with HIV By County 2014 (Ages 13 and Older)

AIDVU_%Uninsured

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

Percent of People With HIV Living In Poverty By County 2014 ( Ages 13 and Older)

AIDVU_%PovertyCheck out this map that shows the percent of people living with HIV who are living in poverty by county for the year of 2014. From the map we can see that a large portion of counties in the southern and western states have a higher percentage of people with HIV living in poverty, indicated by the dark shading. We can also see that Alaska has counties shaded dark, such as Yukon-Koyukuk Census area, indicating the percentage of those living in poverty range from 22.61 to 47.40.

By Julia Watson

 

Years of Potential Life Lost Rate (2011 to 2013)

Check out this map that shows the years of potential life lost rate from years 2011 to 2013. The years of potential life lost rate, also known as premature mortality rate, measures the frequency in which people are dying. From the map we can see a pronounced cluster of states darkly shaded (Oklahoma, Missouri, Arkansas, Mississippi, Louisiana, Alabama, Georgia, Kentucky, Tennessee, West Virginia) indicating a large proportion of counties within these states had a high rate of premature deaths. In other words people who lived within these counties were dying at an early age. In contrast we can see counties within states such as, Maine, Road Island, Vermont are lightly shaded yellow/orange, indicating people who lived within these counties were dying at an older age.

MOTD7_13_17_YPPL_2011to2013

For more information click here

By Julia Watson

Poor Sleep Could Increase Your Risk of Alzheimer’s Disease

A study published in the journal Brain found that poor sleeping can increase levels of proteins, beta-amyloid and tau, involved in Alzheimer’s disease. The data suggested that in some participants when their slow wave sleep was disrupted on average their levels of beta amyloid increased by 10 %. Interestingly, the duration of sleep did not affect beta amyloid, but did increase the levels of tau. Thus, the study showed that poor quality sleep could lead to an increase of beta amyloid and tau causing the risk of plaque to build up in the brain and eventually increasing a person’s risk of Alzheimer’s disease. Check out the article here.

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By Julia Watson