Psychosocial and a physiological measurement tool you will identify both a psychosocial AND a physiological measurement tool that could be used to measure

Psychosocial and a physiological measurement tool you will identify both a psychosocial AND a physiological measurement tool that could be used to measure a concept in your area of interest. Post a brief description of the two types of measurement tools in your group discussion forum (one paragraph each). Identify support in the literature (can be from your articles you are using for this DB post) for the reliability and validity of the two types of tools and post a summary of the support (one paragraph) in your group discussion forum. Criteria for the physiological critique can be found in Gray, Grove, and Sutherland (2018) Chapter 16. Provide citations. Reply to two peers. Does implementation of evidence -based practice reduce Healthcare -associated infections
(HAI) in long term care facilities.
HAI has become a widely known problem occurring in health care in recent times. Patients
continue to contract infections leading to more health decline and complications including death
and poor quality of life.
One of my concerns with HAI has to do with the financial burden imposed on patients when it
was not their fault that the contracted infections in the first place.
I always panic whenever I think of how stressful this would make patients feel. I couldn’t even
imagine wondering how much my hospital bills would be and how I can pay when I am on my
sick bed. Patients should be allowed to free their minds which aids healing .
Through experiences, I know that patients in long term care facilities are already compromised
and are prone to contacting infections faster due to reduced immunity found in the elderly
population .The frequency of exposing patients in this category infection increased the
chances of contracting infections.
Evidence based practices that have been tested and verified to be effect and that works have been
highlighted as one of the leading approaches that can not only reduce but eliminate HAI. This
continues to be an area that I intend to explore since expert say use of evidence-based
practices will infarct reduce HAI.
Reference
Cardo, D., Dennehy, P., Halverson, P., Fishman, N., Kohn, M., Murphy, C., & Whitley, R.
(2010). Moving toward Elimination of Healthcare-Associated Infections: A Call to Action.
Infection Control & Hospital Epidemiology, 31(11), 1101-1105. doi:10.1086/656912
Does implementation of evidence -based practice reduce Healthcare -associated infections
(HAI) in long term care facilities.
HAI has become a widely known problem occurring in health care in recent times. Patients
continue to contract infections leading to more health decline and complications including death
and poor quality of life.
One of my concerns with HAI has to do with the financial burden imposed on patients when it
was not their fault that the contracted infections in the first place.
I always panic whenever I think of how stressful this would make patients feel. I couldn’t even
imagine wondering how much my hospital bills would be and how I can pay when I am on my
sick bed. Patients should be allowed to free their minds which aids healing .
Through experiences, I know that patients in long term care facilities are already compromised
and are prone to contacting infections faster due to reduced immunity found in the elderly
population .The frequency of exposing patients in this category infection increased the
chances of contracting infections.
Evidence based practices that have been tested and verified to be effect and that works have been
highlighted as one of the leading approaches that can not only reduce but eliminate HAI. This
continues to be an area that I intend to explore since expert say use of evidence-based
practices will infarct reduce HAI.
Reference
Cardo, D., Dennehy, P., Halverson, P., Fishman, N., Kohn, M., Murphy, C., & Whitley, R.
(2010). Moving toward Elimination of Healthcare-Associated Infections: A Call to Action.
Infection Control & Hospital Epidemiology, 31(11), 1101-1105. doi:10.1086/656912

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