Respond to at least two of your colleagues* by either supporting or respectfully challenging their explanation on whether there is an evidence base to support the proposed health policy they described.

  

Introduction

The demand for healthcare and the shortage of providers to offer this care, especially in geographically and economically challenged populations, has put a strain on healthcare availability. The Creating Opportunities Now for Necessary and Effective Care Technologies for Health (CONNECT) Act of 2019 looks to promote access through increased use of telehealth. 

What It Means

Currently, telehealth is limited by geography, billing and reimbursement, and provider restrictions. The CONNECT bill HR 4932, proposes removal of some or all of these stipulations to expand access to care. Specifically, the bill targets Medicare restrictions and lack of coverage to improve access to the elderly and disabled (Wicklund, 2019). 

The Evidence

The evidence to support telehealth expansion has been proven. As discussed by Totten et al., (2016) numerous studies have shown an increase in positive outcomes regarding patient/provider communication, education, and the management of chronic health conditions. Passing of this bill could provide a multitude of benefits to involved parties. 

First and foremost, it would improve access to care for those limited by age, disability, geography, or finances. Improved access to care promotes health prevention and decreases more costly care due to complications associated with delay of treatment. The expansion of telehealth could also reduce the strain placed on providers by the shortage. The bill looks to permit telehealth use by more providers and remove some of the travel and point of origin restrictions. Greater use of telehealth would also encourage better insurance coverage and reimbursement (H.R. 4932, 2019).

Conclusion

With all the changes in healthcare and the concerns over cost and accessibility, the need for legislation to address these issues cannot be ignored. The promotion of telehealth and removal of current restrictions could solve many of these dilemmas. As healthcare providers, we can continue to conduct the research and provide the evidence needed to advocate for legislative change to improve healthcare. 

 Research the role of physical activity in disease prevention or coping with the disease once it is acquired. Choose arthritis or diabetes. 

Discuss your topic, how the disease is acquired (if known) and find a way to use the national statistics within the paper.

Include 3 peer reviewed journal articles/research from credible sources to use for your research paper. (APA intext citations).  In addition, please find 2 national statistics that relate to your topic of choice.

Some examples of peer-reviewed research articles include the following:

Archives of Physical Medicine and Rehabilitation

Journal of Aging and Physical Activity

Journal of Nutrition

Statistics sites:

www.cdc.org

http://www.nih.gov/

http://www.acsm.org/

Attached is an example 

Case Study: A 65-year-old woman was just been diagnosed with Stage 3 non-Hodgkin’s lymphoma. She was informed of this diagnosis in her primary care physician’s office. She leaves her physician’s office and goes home to review all of her tests and lab results with her family. She goes home and logs into her PHR. She is only able to pull up a portion of her test results. She calls her physician’s office with this concern. The office staff discussed that she had part of her lab work completed at a lab not connected to the organization, part was completed at the emergency room, and part was completed in the lab that is part of the doctor’s office organization.

The above scenario might be a scenario that you have commonly worked with in clinical practice. For many reasons, patients often receive healthcare from multiple organizations that might have different systems.

As you review this scenario, reflect and answer these questions for this discussion.

Patient present to the clinic complaining of lower back pain after moving some heavy table. Explain why it is important that the nurse practitioner DO NOT missed to ask the patient these two questions.

1- Is the pain affecting your daily living activities?

2- Are you currently taking any medication to control de pain?

Provide references.

Comment1

Statistical interaction can happen in a two-way ANOVA. It is possible for variables to work independent from one another within a study. When this happens, there is a need to consider the interaction between the variables. A statistical interaction occurs when the effect of two variables working together causes a greater change or a lesser change, than is anticipated. The variables are somehow dependent on one another. You will have to know the levels of each variable to understand the effect on the data. The independent variables are creating a greater effect on the dependent variable. The independent variables are not affecting each other. The study for exercise 18, researchers collected data from family members regarding level of care in Hospice with LPC, hospital with LPC, and hospital without LPC. The family members did not report a change in the level of care within the hospital with LCP vs. hospital without LCP comparison. When the hospice vs. hospital with LCP or the hospice vs. hospital without LCP groups were compared, there was a significant difference. Differences in the level of care was indicated by the p < alpha. LCP and hospice, and LCP and hospital seem to interact with the level of care (Grove & Cipher, 2017).

Comment2

Interaction is a kind of action that occurs as two or more objects influence one another. The idea of a two-way effect is essential in the concept of interaction, as opposed to a one-way causal effect combination of many simple interactions can lead to surprising emergent phenomena. Interaction has different tailored meanings in various sciences. All systems are related and interdependent. Every action has a consequence.

In statistics, an interaction is a special property of three or more variables, where two or more variables interact to affect a third variable in a non-additive manner. In other words, the two variables interact to have an effect that is more than the sum of their parts.

For example, two of my friends are on weight loss program. We’re evaluating 2 different diets and 2 different exercise programs. One focused on cardio and one focused on weight training. We want to determine which result in greater weight loss. We randomly assign participants to either diet A or B and either the cardio or weight training regimen, and then record the amount of weight they’ve lost after 1 month.