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San Diego , CA vs Boulder, Colorado – 2017 health outcomes

SD vs COLO p3SD vs COLO p1

SD vs COLO.JPG

San Diego is 10x more in population than Colorado with same ratio of female to male and same % of seniors and 3x more Hispanics and Asian. Both cities has same average household income and drug overdose rate.

http://www.countyhealthrankings.org/app/new-york/2017/compare/additional?counties=08_013%2006_073

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Caregiver skills and pay

Skills & Experience
– Experience working with an individual living with Alzheimer’s
– Experience with personal care and companion care
– Experience preparing and cooking meals
– Experience working in a facility a plus

Requirements
– Be on the Home Care Aide Registry of the California Department of Social Services – Need to register? We can help you!
– 2+ years of verifiable employment history
– Experience working with seniors and patients with dementia – family caregiving experience is acceptable
– Must be able to pass a background check – We conduct the most thorough criminal background checks in the industry
– Drug-free – You must pass a drug test
– Tuberculosis (TB) clearance required
– Able to lift 50 pounds
– Proof of work eligibility
– Valid driver license and clean driving record
– Reliable vehicle with current car registration and automobile insurance
– GED, high school diploma, or college degree
– Speak, understand, and write English fluently

 

Great pay, annual increases
$15.00 4hrs-8hrs shifts, $17.25 3hrs shifts
Paid Time Off
Holiday work paid at time and a half
Overtime after 8 hours
Double Time after 12hrs
Flexible hours
Medical, Dental, and Vision insurance
Pension plan

San Mateo top health outcome and Fresno , 52nd bottom health outcome

Santa Clara rank number 3 in overall health performance in California

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Critical Appraisal of Health Economic Evaluation Studies

Critical Appraisal of Health Economic Evaluation Studies

Key areas for critical appraisal – 1. The question

We need to ask ourselves two questions about the question the economic evaluation study seeks to address:

a) Is the type of analysis used appropriate to the question?
b) What is the perspective of the analysis?

These questions are related as they determine the type of analysis which should have been performed and the type of costs and benefits which should be collected. Each question is broken down into several sub-questions, presented below.

1a) Is the type of analysis appropriate to the question asked?

Economic evaluation can be used to assess:

The best way of achieving a given goal within a given budget. This is a technical efficiency question that can be measured by cost-effectiveness analysis or cost-utility analysis.

Is it worthwhile achieving a given goal?

This is an allocative efficiency question that can be measured by cost-utility analysis or cost-benefit analysis.

The crucial point for appraisal is whether the correct methodology has been chosen for a specific question.

There are three basic types of economic evaluation methodology:

Cost-effectiveness analysis (CEA)

CEA relates costs to a single clinical or natural measure of effectiveness; i.e., a unidimensional outcome, e.g., pain reduction, activities of daily living.

CEA is best suited to measuring technical efficiency as it is difficult to compare treatments with different outcomes.

CEA can sometimes be used to provide limited information on allocative efficiency through a ratio of extra cost to extra benefit produced (incremental cost-efficiency analysis).

Cost-utility analysis (CUA)

Cost-utility analysis relates costs to a multidimensional measure of effectiveness which takes into account the valuation of benefits; i.e., a measure of utility.

CUA can be used to measure technical efficiency.

CUA can be used for allocative efficiency but only within the health care sector where health care costs only are included.

Cost-benefit analysis (CBA)

CBA relates costs to a valuation of benefits in commensurate (having a common or equal unit of measure), usually monetary, terms.

CBA can be used to measure both technical and allocative efficiency questions. It can be measured either within the health care sector or across other sectors of the economy.

1b) What is the perspective of the analysis?

Perspective is important as it determines which costs and benefits are collected.

Possible perspectives that should be considered are:

  • a specific provider or provider institution
  • a patient or patient group
  • a health care purchaser (or third party payer)
  • society at large

As a general rule CEA and CUA require only health care costs to be collected.

CBA requires all costs and benefits to be collected, no matter on whom they fall.

In 2001, the US ranks very low (37th) in overall health system performance

US is number 1 in health care spending in 2001

OECD Health Data 2001

When you compare the U.S. health care system to that of other industrialized nations, you will see startling results not only in expenditures but also in outcomes. Data from OECD Health Data 2001gives us comparative health status information on its 30 member countries.

Characteristic US
OECD
Health Expenditure per capita, 1998, $US PPP $4,165 $1700
Life expectancy at birth Male: 73.9 Female: 79.4 Male: 73.7 Female: 79.8
Infant mortality 7.2 per 1,000 live births 6.7 per 1,000 live births

These data show that, in spite of ranking at the top of the list for health expenditures, the U.S. falls into the mid-ranges for some broad measures, such as life expectancy and infant mortality.

World Health Organization Report, 2000

Member State Health expenditure per capita in International dollars (Ranking) Overall health system performance

Chile

44

33

Costa Rica

50

36

Cyprus

39

24

Oman

62

8

United States of America

1

37

Source: Annex Tables 5-10
World Health Report 2000, WHO

What does this table tell you?

See if you can select the correct answer before reading on

This table tells me that:

A. Oman spends more on health care than the United States per capita
B. The US spends more on health care per capita but ranks very low with respect to overall health system performance
C. Costa Rica has a worse overall health system performance than Chile
D. The World Health Organization doesn’t keep very good records of health expenditures and overall health system performance

The correct answer is B. The U.S. spends more on health care per capita – it is number 1 in spending – but ranks very low (37th) with respect to overall health system performance.

Current Population Reports

A Current Population Reports Special Study says it in a nutshell:

“…the United States outspends the world on medical care, but three-fourths of developed countries have better health measures”.

Source of Quotation: Population Profile of the United States 1999, Current Population Reports Special Study, March 2000.

It is important to remember that medical care is just one factor that determines health. Some of the others, such as heredity, lifestyle, and preferences – diet, exercise, use of tobacco and alcohol, to name a few – must also be taken into account.

How do we spend on health care

Spending

Spending on health care services and products reached $1.3 trillion in 2000, which was up 6.9% from the previous year. This $1.3 trillion figure represents 13.2% of the U.S. Gross Domestic Product (GDP), or the total value of goods and services produced that year in the U.S.

Looking at this amount in the very broadest context over 13% of the total amount that was spent for all goods and services, or about 1 dollar in every 7, was allocated for health care purchases in 2000.

The $1.3 trillion also means that individuals spent $4,637.00 per capita in 2000 in their quest for “health”. This is well above what other industrialized nations spend. The U.S. ranking for per capita health expenditures consistently exceeds that of other OECD nations, and the rate of increase in per capita health expenditures is relatively high as well.

What are some factors that contribute to the rapidly escalating health expenditures?

Throughout the literature, several determinants are cited repeatedly: an aging population, an increased demand for and use of advanced technology, a decline in enrollment in restrictive, cost-containing health care plans, and rapid spending growth on prescription drugs.

How the US Health Care System is financed

In the U.S. health care is financed, or paid for, in a variety of ways. Individuals may pay directly for services received. Others may have health insurance coverage as a tax free benefit from their employment. Military personnel and their dependents, as well as veterans, are provided health care coverage through the federal government. Older Americans depend upon Medicare and low income mothers and children, as well as some disabled persons in the U.S., receive health care assistance through Medicaid. Children who might not otherwise receive medical attention may do so through the State Children’s Health Insurance Program (SCHIP).

Many of the employed are covered by employer provided health care insurance… traditional indemnity insurance or a managed care plan, such as a Health Maintenance Organization (HMO), Preferred Provider Organization, (PPO) or Point of Service Plan (POS) – which employers purchase as a group. Employees may or may not have had some input into the choice of that plan. Those with employer provided insurance are in good company, as the vast majority of Americans are covered by employment-based private insurance plans, 64% of the U.S. population, for example, in 2000.

An additional 24% of our population in the same year was covered by some type of government plan. The breakdown is as follows: Medicare, 13%; Medicaid, 10%, Military Health Insurance, 3%.

Many Americans are covered by more than one health insurance plan, and coverage between plans often overlaps. Among plans and programs there are many differences in the range of services covered, procedures followed, and payment provided. For our purposes today, it is probably not so important that we know all of these details, and you will find additional information on various types of insurance plans in the glossary.

From this brief description, however, one point is very clear. The health care financing system is not so much a system as it is a crazy-quilt of programs that, when pieced together, cover to some degree, the majority–but clearly not all—of the American people.

Domino Effect: Individual Damaged Neuron Types Cause Neurodegenerative Diseases

Domino Effect: Individual Damaged Neuron Types Cause Neurodegenerative Diseases

Summary: Age related neurodegeneration may be delayed by preventing oxidative damage in a few neuron types, researchers report.

Source: TUM.

If the sense of smell disappears, this can indicate a disease such as Alzheimer’s or Parkinson’s disease. However, unlike previously assumed, general degenerations in the nervous system do not play a leading role in the loss of the sense of smell with increasing age, but individual nerve cells or classes of nerves are decisive.

Some nerve cells (neurons) or neuron classes in the brain seem to age faster than others. For example, the loss of the sense of smell is one of the first clinical signs of natural aging. This can be accompanied by a neurodegenerative disease such as Alzheimer’s.

“Age is the major risk factor as to why people suffer from Alzheimer’s or Parkinson’s disease,” says Prof. Ilona Grunwald Kadow from the School of Life Sciences at the Technical University of Munich (TUM) – “only a small proportion of these diseases are due to known genetic reasons”. The question is why do some neurons age faster than others? Why are some more sensitive? And is the damage to certain types of neurons the reason why whole nerve networks no longer function properly?

A new study conducted under the direction of Prof. Grunwald Kadow (TUM) in collaboration with the groups of Prof. Julien Gagneur (TUM), Prof. Stephan Sigrist (Free University of Berlin) and Prof. Nicolas Gompel (LMU) using the genetic model organism of the fruit fly now shows how the olfactory capacity of these animals ages and how much this resembles the aging process in the human olfactory system. Like humans, the fruit fly loses its powers of smell as it ages. Several key genes and mechanisms were identified that contribute to this aging – associated degeneration.

Which neurons are affected?

In the next step, the scientists examined whether all or only specific neurons of the olfactory circuit are affected. The team found that some neurons are more sensitive than others and decline faster during aging.

They determined that oxidative stress alters primarily specific neuron types, causing the functioning of the entire neural network to gradually collapse. Oxidative stress results in too many reactive oxygen compounds in the cell or tissue, which can cause temporary or permanent damage and accelerated aging.

Interestingly, if the formation of these reactive oxygen compounds in only this type of neurons is prevented, this completely stopped the loss of sense of smell: Old flies sense odors just like their young conspecifics again. This suggests that age-related degeneration could be significantly delayed by preventing oxidative damage in only one or a few neuron types.

But what can reduce oxidative stress in its effect?

A trial with an antioxidant in the form of several weeks of resveratrol administration in younger flies showed that it can counteract oxidative stress, which develops during aging. This treatment appeared to protect the particularly sensitive neurons and thereby contributed to maintaining the function of the neurons connected to them within the neural network. In the elderly, such treatments might help to delay the onset of neurodegenerative diseases associated with ageing.

fruit fly

Another possible factor that could play a role in the aging process is the intestinal microbiome. It could be involved in the progression of Parkinson’s disease. Grunwald Kadow and her team have therefore also tested the effect of specific microbiota on olfactory ageing in fruit flies with the result that certain bacteria have a positive effect and slow down olfactory neurodegeneration.

According to Prof. Grunwald Kadow, these findings and further ongoing experiments in the fruit fly model can help to pave the way for more targeted and new treatments and therapy routes, in which, among other things, drug or microbiota administration would be combined with each other.

ABOUT THIS NEUROSCIENCE RESEARCH ARTICLE

Source: Ilona Grunwald Kadow – TUM
Publisher: Organized by NeuroscienceNews.com.
Image Source: NeuroscienceNews.com image is credited to Ariane Böhm / TUM.
Original Research: Open access research in eLife.
doi:10.7554/eLife.32018

CITE THIS NEUROSCIENCENEWS.COM ARTICLE
TUM “Domino Effect: Individual Damaged Neuron Types Cause Neurodegenerative Diseases.” NeuroscienceNews. NeuroscienceNews, 1 March 2018.
< http://neurosciencenews.com/damaged-neurons-neurodegeneration-8588/&gt;.

Abstract

Inhibition of oxidative stress in cholinergic projection neurons fully rescues aging-associated olfactory circuit degeneration in Drosophila

Loss of the sense of smell is among the first signs of natural aging and neurodegenerative diseases such as Alzheimer’s and Parkinson’s. Cellular and molecular mechanisms promoting this smell loss are not understood. Here, we show that Drosophila melanogaster also loses olfaction before vision with age. Within the olfactory circuit, cholinergic projection neurons show a reduced odor response accompanied by a defect in axonal integrity and reduction in synaptic marker proteins. Using behavioral functional screening, we pinpoint that expression of the mitochondrial reactive oxygen scavenger SOD2 in cholinergic projection neurons is necessary and sufficient to prevent smell degeneration in aging flies. Together, our data suggest that oxidative stress induced axonal degeneration in a single class of neurons drives the functional decline of an entire neural network and the behavior it controls. Given the important role of the cholinergic system in neurodegeneration, the fly olfactory system could be a useful model for the identification of drug targets.

In Pursuit of Pleasure, the Brain Learns to Hit the Repeat Button

In Pursuit of Pleasure, the Brain Learns to Hit the Repeat Button

Summary: According to researchers, the brain learns to reproduce brain activity patterns that lead to reward. The findings could lead to new avenues for treating addiction and OCD, researchers report.

Source: Zuckerman Institute.

In a scientific first, researchers have observed in mice how the brain learns to repeat patterns of neural activity that elicit the all-important feel-good sensation. Until today, the brain mechanisms that guide this type of learning had not been measured directly.

This research offers key insights into how brain activity is shaped and refined as animals learn to repeat behaviors that evoke a feeling of pleasure. The findings also point to new strategies for targeting disorders characterized by abnormal repetitive behaviors, such as addiction and obsessive-compulsive disorder, or OCD.

The study, led by researchers at Columbia University’s Zuckerman Institute, the Champalimaud Centre for the Unknown and the University of California at Berkeley (UC Berkeley), was published today in Science.

“It’s no secret that we derive pleasure from doing things we enjoy, such as playing our favorite video game,” said Rui Costa, DVM, PhD, senior author and the associate director and CEO of Columbia’s Zuckerman Institute. “These results reveal that the brain learns which activity patterns lead to feel-good sensations, and reshapes itself to more efficiently reproduce those patterns.”

“If a brain’s activity patterns are in overdrive, as is often the case for people with addiction or OCD, could we create a computer program that can help to retrain their brains and downshift this activity?”

“In our previous studies, we developed a brain-machine paradigm showing how neural-activity patterns that lead to reward are repeated more often and become consolidated over time,” said Jose Carmena, PhD, professor of electrical engineering and neuroscience at UC Berkeley and the other senior author of the paper. “That research provided a framework for how those patterns of activity could be driving learning in the brain.”

“Today’s discovery in mice builds on that foundational work; it can help explain how we learn by repetition, and can also inform studies of disorders such as addiction and OCD, in which the feedback loop that links an action to a reward gets thrown out of whack,” added Dr. Costa.

Normally, doing something enjoyable triggers neurons, a type of brain cell, to release a chemical called dopamine. This release causes that feel-good sensation, evoking the desire to repeat an action again and again. Video games are prime examples of this.

“When you move the game controller in exactly the right way to earn that high score, your brain remembers how it executed that action — which neurons get switched on, and in what pattern — so your brain can recreate that same move the next time you play,” said Dr. Costa, who also a professor of neuroscience and neurology at Columbia University Irving Medical Center. “After repeated attempts, your brain gets better at recreating that pattern of neural activity, and you get better at the game.”

To the team, this fact then begged the question: Could the brain be trained to learn the right pattern of neural activity normally involved in experiencing something enjoyable, and then replay that pattern at will to trigger a dopamine release?

In a series of experiments in mice, the researchers developed a computer program that connected the neural activity in the animals’ brains to musical notes, so that when one group of neurons switched on, a corresponding musical note played. Different patterns of neural activity yielded different combinations of notes. And when neural-activity patterns triggered the right arrangement of musical notes (arbitrarily determined by a computer), the scientists manually released dopamine in the animals’ brains.

The mice quickly learned which musical arrangement that, when played, caused a dopamine release and the feel-good sensation. Their brains then began to rewire themselves to play that song more often, thereby triggering the pleasure hit of dopamine.

“In essence, the mice learned to repeat the same pattern of brain activity that had been evoked previously by hearing those musical notes,” said Vivek Athalye, a doctoral candidate at UC Berkeley and the paper’s co-first author.

The researchers noted that these findings are a striking example of Thorndike’s Law — a long-held principle of psychology stating that actions that lead to positive reinforcement are repeated more frequently. However, these findings likely represent the first time that this principle has been directly observed in the brain.

a brain

“In some ways, these results are entirely expected,” said Dr. Costa. “It makes sense that the brain would mimic the feeling of reward it gets from an enjoyable experience by producing the corresponding pattern of neural activity. But it had never been tested.”

“This research also has important implications for the development of advanced neurotherapies, systems that would treat the underlying causes of brain disorders by modifying a patient’s neural-activity patterns,” said Dr. Carmena.

“For example, if a brain’s activity patterns are in overdrive, as is often the case for people with addiction or OCD, could we create a computer program that can help to retrain their brains and downshift this activity?” asked Dr. Costa. “This is something we’re actively exploring.”

ABOUT THIS NEUROSCIENCE RESEARCH ARTICLE

Funding: This research was supported by National Science Foundation (Graduate Research Fellowship, CBET-0954243, EFRI-M3C 1137267), Office of Naval Research (N00014-15-1-2312, ERA-NET, European Research Council (COG 617142) and the Howard Hughes Medical Institute (IEC 55007415).

The authors report no financial or other conflicts of interest.

Source: Stacey Singer DeLoye – Zuckerman Institute
Publisher: Organized by NeuroscienceNews.com.
Image Source: NeuroscienceNews.com image is credited to Gil Costa.
Original Research: Abstract in Science.
doi:10.1126/science.aao6058

CITE THIS NEUROSCIENCENEWS.COM ARTICLE
Zuckerman Institute “In Pursuit of Pleasure, the Brain Learns to Hit the Repeat Button.” NeuroscienceNews. NeuroscienceNews, 2 March 2018.
< http://neurosciencenews.com/pleasure-brain-activity-8560/&gt;.

Abstract

Orphan receptor GPR258 controls stress-induced depression

Thorndike’s law of effect states that actions that lead to reinforcements tend to be repeated more often. Accordingly, neural activity patterns leading to reinforcement are also reentered more frequently. Reinforcement relies on dopaminergic activity in the ventral tegmental area (VTA), and animals shape their behavior to receive dopaminergic stimulation. Seeking evidence for a neural law of effect, we found that mice learn to reenter more frequently motor cortical activity patterns that trigger optogenetic VTA self-stimulation. Learning was accompanied by gradual shaping of these patterns, with participating neurons progressively increasing and aligning their covariance to that of the target pattern. Motor cortex patterns that lead to phasic dopaminergic VTA activity are progressively reinforced and shaped, suggesting a mechanism by which animals select and shape actions to reliably achieve reinforcement.