Read over your paper – in silence and then aloud – before handing it in and make corrections as necessary. Often it is advantageous to have a friend proofread your paper for obvious errors. Handwritten corrections are preferable to uncorrected mistakes.
Use a standard 10 to 12 point (10 to 12 characters per inch) typeface. Smaller or compressed type and papers with small margins or single-spacing are hard to read. It is better to let your essay run over the recommended number of pages than to try to compress it into fewer pages.
Likewise, large type, large margins, large indentations, triple-spacing, increased leading (space between lines), increased kerning (space between letters), and any other such attempts at “padding” to increase the length of a paper are unacceptable, wasteful of trees, and will not fool your professor.
The paper must be neatly formatted, double-spaced with a one-inch margin on the top, bottom, and sides of each page. When submitting hard copy, be sure to use white paper and print out using dark ink. If it is hard to read your essay, it will also be hard to follow your argument.
Communication is so very important. There are multiple ways to communicate with me:
Discuss how the accountability of licensed healthcare personnel intersects with organizational efforts to implement less expensive patient care pathways or treatment plans (300-500 word count) and at least 1 source. No plagiarism!
You must proofread your paper. But do not strictly rely on your computer’s spell-checker and grammar-checker; failure to do so indicates a lack of effort on your part and you can expect your grade to suffer accordingly. Papers with numerous misspelled words and grammatical mistakes will be penalized. Read over your paper – in silence and then aloud – before handing it in and make corrections as necessary. Often it is advantageous to have a friend proofread your paper for obvious errors. Handwritten corrections are preferable to uncorrected mistakes.
Use a standard 10 to 12 point (10 to 12 characters per inch) typeface. Smaller or compressed type and papers with small margins or single-spacing are hard to read. It is better to let your essay run over the recommended number of pages than to try to compress it into fewer pages.
Likewise, large type, large margins, large indentations, triple-spacing, increased leading (space between lines), increased kerning (space between letters), and any other such attempts at “padding” to increase the length of a paper are unacceptable, wasteful of trees, and will not fool your professor.
The paper must be neatly formatted, double-spaced with a one-inch margin on the top, bottom, and sides of each page. When submitting hard copy, be sure to use white paper and print out using dark ink. If it is hard to read your essay, it will also be hard to follow your argument.
Initial responses to the DQ should address all components of the questions asked, include a minimum of one scholarly source, and be at least 250 words.
Successful responses are substantive (i.e., add something new to the discussion, engage others in the discussion, well-developed idea) and include at least one scholarly source.
One or two sentence responses, simple statements of agreement or “good post,” and responses that are off-topic will not count as substantive. Substantive responses should be at least 150 words.
I encourage you to incorporate the readings from the week (as applicable) into your responses.
Your initial responses to the mandatory DQ do not count toward participation and are graded separately.
In addition to the DQ responses, you must post at least one reply to peers (or me) on three separate days, for a total of three replies.
Participation posts do not require a scholarly source/citation (unless you cite someone else’s work).
Part of your weekly participation includes viewing the weekly announcement and attesting to watching it in the comments. These announcements are made to ensure you understand everything that is due during the week.
Familiarize yourself with APA format and practice using it correctly. It is used for most writing assignments for your degree. Visit the Writing Center in the Student Success Center, under the Resources tab in LoudCloud for APA paper templates, citation examples, tips, etc. Points will be deducted for poor use of APA format or absence of APA format (if required).
Cite all sources of information! When in doubt, cite the source. Paraphrasing also requires a citation.
I highly recommend using the APA Publication Manual, 6th edition.
I discourage overutilization of direct quotes in DQs and assignments at the Masters’ level and deduct points accordingly.
As Masters’ level students, it is important that you be able to critically analyze and interpret information from journal articles and other resources. Simply restating someone else’s words does not demonstrate an understanding of the content or critical analysis of the content.
It is best to paraphrase content and cite your source.
For assignments that need to be submitted to LopesWrite, please be sure you have received your report and Similarity Index (SI) percentage BEFORE you do a “final submit” to me.
Once you have received your report, please review it. This report will show you grammatical, punctuation, and spelling errors that can easily be fixed. Take the extra few minutes to review instead of getting counted off for these mistakes.
Review your similarities. Did you forget to cite something? Did you not paraphrase well enough? Is your paper made up of someone else’s thoughts more than your own?
Visit the Writing Center in the Student Success Center, under the Resources tab in LoudCloud for tips on improving your paper and SI score.
The university’s policy on late assignments is 10% penalty PER DAY LATE. This also applies to late DQ replies.
Please communicate with me if you anticipate having to submit an assignment late. I am happy to be flexible, with advance notice. We may be able to work out an extension based on extenuating circumstances.
If you do not communicate with me before submitting an assignment late, the GCU late policy will be in effect.
I do not accept assignments that are two or more weeks late unless we have worked out an extension.
As per policy, no assignments are accepted after the last day of class. Any assignment submitted after midnight on the last day of class will not be accepted for grading.
Communication is so very important. There are multiple ways to communicate with me:
Questions to Instructor Forum: This is a great place to ask course content or assignment questions. If you have a question, there is a good chance one of your peers does as well. This is a public forum for the class.
Individual Forum: This is a private forum to ask me questions or send me messages. This will be checked at least once every 24 hours.
A member of the hospital’s medical staff has been accused of improperly billing Medicare for treatments done in his office that were not medically necessary.
A subpoena for copies of patient records was received but the subpoena does not include a patient authorization for release of the records. In addition, the subpoena requests all “peer review committee” records pertaining to this physician. Consider the following questions:
You must proofread your paper. But do not strictly rely on your computer’s spell-checker and grammar-checker; failure to do so indicates a lack of effort on your part and you can expect your grade to suffer accordingly.
Papers with numerous misspelled words and grammatical mistakes will be penalized. Read over your paper – in silence and then aloud – before handing it in and make corrections as necessary. Often it is advantageous to have a friend proofread your paper for obvious errors. Handwritten corrections are preferable to uncorrected mistakes.
Use a standard 10 to 12 point (10 to 12 characters per inch) typeface. Smaller or compressed type and papers with small margins or single-spacing are hard to read. It is better to let your essay run over the recommended number of pages than to try to compress it into fewer pages.
Likewise, large type, large margins, large indentations, triple-spacing, increased leading (space between lines), increased kerning (space between letters), and any other such attempts at “padding” to increase the length of a paper are unacceptable, wasteful of trees, and will not fool your professor.
The paper must be neatly formatted, double-spaced with a one-inch margin on the top, bottom, and sides of each page. When submitting hard copy, be sure to use white paper and print out using dark ink. If it is hard to read your essay, it will also be hard to follow your argument.
Also Read:
West Coast NURS 316L OB Nursing Concept Map
HLT 306 Week 2 Discussions
Disaster Mitigation and Preferences Among Members of StaffI
HCA 322 Week 5 Discussion Question 1
For this Discussion, you examine a case study and explain the disease that is suggested. You examine the symptoms reported and explain the cells that are involved and potential alterations and impacts.
You will be assigned to a specific scenario for this Discussion.
Please post an explanation of the disease highlighted in the scenario provided. Include the following in your explanation: role genetics plays in the disease, why the patient is presenting with the specific symptoms described, physiologic response to the stimulus presented in the scenario and why you think this response occurred, the cells that are involved in this process, and how another characteristic like gender or genetics would change your response.
Scenario: A 27-year-old patient with a history of substance abuse is found unresponsive by emergency medical services (EMS) after being called by the patient’s roommate. The roommate states that he does not know how long the patient has been lying there.
The patient received naloxone in the field and has become responsive. He complains of burning pain over his left hip and forearm. Evaluation in the ED revealed a large amount of necrotic tissue over the greater trochanter as well as the forearm. EKG demonstrated prolonged PR interval and peaked T waves. Serum potassium level 6.9 mEq/L.
Post an explanation of the disease highlighted in the scenario you were provided. Include the following in your explanation:
Also read:
NURS 6501 Module 1 Assignment: Case Study Analysis
NURS 6501 Module 2 Assignment Case Study Analysis
Required Readings (click to expand/reduce)
McCance, K. L. & Huether, S. E. (2019). Pathophysiology: The biologic basis for disease in adults and children (8th ed.). St. Louis, MO: Mosby/Elsevier.
Chapter 1: Cellular Biology; Summary Review
Chapter 2: Altered Cellular and Tissue Biology: Environmental Agents (pp. 46-61; begin again with Manifestations of Cellular Injury pp. 83-97); Summary Review
Chapter 3: The Cellular Environment: Fluids and Electrolytes, Acids, and Bases
Chapter 4: Genes and Genetic Diseases (stop at Elements of formal genetics); Summary Review
Chapter 5: Genes, Environment-Lifestyle, and Common Diseases (stop at Genetics of common diseases); Summary Review
Chapter 7: Innate Immunity: Inflammation and Wound Healing
Chapter 8: Adaptive Immunity (stop at Generation of clonal diversity); Summary Review
Chapter 9: Alterations in Immunity and Inflammation (stop at Deficiencies in immunity); Summary Review
Chapter 10: Infection (pp. 289-303; stop at Infectious parasites and protozoans); (start at HIV); Summary Review
Chapter 11: Stress and Disease (stop at Stress, illness & coping); Summary Review
Chapter 12: Cancer Biology (stop at Resistance to destruction); Summary Review
Chapter 13: Cancer Epidemiology (stop at Environmental-Lifestyle factors); Summary Review
Justiz-Vaillant, A. A., & Zito, P. M. (2019). Immediate hypersensitivity reactions. In StatPearls. Treasure Island, FL: StatPearls Publishing. Retrieved from https://www.ncbi.nlm.nih.gov/books/NBK513315/
Credit Line: Immediate Hypersensitivity Reactions – StatPearls – NCBI Bookshelf. (2019, June 18). Retrieved from https://www.ncbi.nlm.nih.gov/books/NBK513315/. Used with permission of Stat Pearls
This week’s case study is about a client who is 83 years of age and is a skilled nursing amenity resident. The patient presented to the facility with generalized lower limb and abdominal edema. From the interaction with the patient, a past history of malabsorption syndrome and poor feeding from lack of dentures was deduced. Thus, a diagnosis of protein malnutrition was arrived at.
Malnutrition is a serious health crisis with a resultant increased risk of morbidity and mortality. Broadly, malnutrition can either be classified into marasmus, which is an inadequate supply of energy to meet the body’s requirement or kwashiorkor which is the supply of adequate energy with insufficient protein intake (McCance et al., 2019). Classification can also be based on the severity, with malnutrition being classified as mild, moderate, or severe.
Protein malnutrition is etiologically multi-factorial. Its causes include inadequate/improper food intake, impaired absorption, increased gastrointestinal loss of nutrients, increased nutritional needs from various stressors, increased protein loss, and inadequate protein synthesis (Dipasquale et al., 2020). This particular patient’s protein malnutrition is likely due to impaired absorption from the history of the maladaptive syndrome and inadequate food intake based on the difficulty feeding attributed to lack of dentures.
Genetics plays a role in the causation of protein malnutrition. Human genetic variations can alter host genes that impact food absorption and metabolism, including proteins through many mechanisms. Some studies have identified nutrition-associated genes that influence macronutrient intake, such as FTO and single-nucleotide polymorphisms genes, which cause reduced protein intake (Duggal et al., 2018). The genetic variation of individuals also determines the gut microbe composition, which may, in turn, contribute to malnutrition.
The patient came to the emergency department presenting with generalized lower limb edema and abdominal edema. Protein malnutrition is typically characterized by low serum albumin levels due to the decreased synthesis and storage of serum proteins. Low albumin levels lead to an imbalance between oncotic pressure and hydrostatic pressure across vascular walls. Albumin contributes to oncotic pressure, which maintains the intravascular fluid within the blood vessels. Its deficiency thus leads to loss of fluid to the extra-vascular spaces and tissues, which presents clinically as edema.
Reduced oncotic pressure due to low serum albumin level leads to edema from extra-vascular movement of intravascular fluid. This results in intravascular volume depletion, leading to hypovolemia and even shock in serious cases. The body responds to this by increasing the antidiuretic hormone levels to replace the depleted intravascular fluid. This is achieved by water retention by the renal system through the action of this hormone.
Antidiuretic hormone is secreted by the posterior pituitary gland. This hormone acts in the distal renal and collecting tubules and leads to water reabsorption by causing the expression of water transport channels. This leads to intravascular fluid repletion. In addition to decreasing the urine output, this hormone also acts on the endothelial cells of blood vessels to cause vasoconstriction in cases of hypotension.
In addition to genetics, several other factors contribute to the development of malnutrition. Aging, for example, has been shown to increase the risk of malnutrition, as is the case with the patient in this study. This is attributed to factors such as lack of dentures, loss of taste, and reduced movement (Besora-Moreno et al., 2020). This leads to reduced food intake with resultant malnutrition. This may necessitate measures such as nutritional support and screening of the elderly population for early diagnosis and interventions.
Besora-Moreno, M., Llauradó, E., Tarro, L., & Solà, R. (2020). Social and Economic Factors and Malnutrition or the Risk of Malnutrition in the Elderly: A Systematic Review and Meta-Analysis of Observational Studies. Nutrients, 12(3), 737. https://doi.org/10.3390/nu12030737
Dipasquale, V., Cucinotta, U., & Romano, C. (2020). Acute Malnutrition in Children: Pathophysiology, Clinical Effects, and Treatment. Nutrients, 12(8), 2413. https://doi.org/10.3390/nu12082413
Duggal, P., & Petri, W. (2018). Does Malnutrition Have a Genetic Component?. Annual Review Of Genomics And Human Genetics, 19(1), 247-262. https://doi.org/10.1146/annurev-genom-083117-021340
McCance, K. L. & Huether, S. E. (2019). Pathophysiology: The biologic basis for disease in adults and children (8th ed.). St. Louis, MO: Mosby/Elsevier. https://shop.elsevier.com/books/pathophysiology/mccance/978-0-323-40281-1
The 83-year-old patient presented in this scenario is suffering from malabsorption syndrome. The condition that the patient is experiencing, and the lack of food intake contributes to protein malnutrition. The main problem of malabsorption syndrome is the lack of nutritional supply in a body due to decreased absorption within the small intestines (McCance & Huether, 2019). The purpose of this discussion is to discuss the genetics, physiological, and cellular components of the scenario presented.
Malabsorption syndrome can have many different causes. Some such causes can stem from outside influences such as intestine dissection, infections, and damage from radiation treatments. However, malabsorption can also come from genetic diseases such as Cystic fibrosis, congenital short bowel syndrome, Celiac disease, and Chron’s disease (Clark & Johnson, 2018).
The scenario presented only states that the patient has a medical history of malabsorption syndrome but does not specify what the cause was. If the patient’s malabsorption was caused by Celiac disease, the genetic factors that would be important to focus on would be the class II human leukocyte antigen (HLA) genes, DQ2 and DQ8.
Patients with these genes are susceptible to celiac disease, where gluten proteins cause CD4T cells to be activated in the mucosal lining of the small intestines. Such activation damages the mucosal lining over time, thereby interfering with the absorption of necessary nutrients (Clark & Johnson, 2018).
The stimulus presented in this scenario is a state of hypoalbuminemia. This condition developed because of the patient’s history of malabsorption syndrome and low protein intake (McCance & Huether, 2019). To understand the physiological response, it is essential to understand the function of protein within the bloodstream. Albumin is the form of protein within the blood responsible for maintaining oncotic pressure.
The albumin does this by using its force to retain water via sodium within the capillaries. Therefore, if there is a lack of albumin in the bloodstream, a weak force keeps the fluid from escaping. This affects the oncotic pressure and allows fluid to leak into the interstitial space. Over time, an accumulation of fluid in the interstitial space leads to swelling, which is the culprit for the patient’s generalized edema and ascites (Darwish & Lui, 2021).
The way nutrients are absorbed into our bodies is through the digestive process. The digestive process begins from the minute food enters our mouths. However, most absorption takes place in the intestinal lumen of the small intestines. The small intestines are made of four main layers: the mucosa, submucosa, muscularis externa, and adventitia.
The mucosal layer contains the epithelium, where the digestive cells live. The digestive cells include the enterocytes, Paneth cells, goblet cells, and neuroendocrine cells. Enterocytes make up the majority of the intestinal epithelium and are responsible for the primary role of absorption (Kong et al., 2018)
Specifically, protein is absorbed in the body with the help of trypsin and chymotrypsin. These enzymes break proteins into tiny forms of amino acids. These amino acids are then transported via the enterocytes across the epithelium to enter blood circulation (Kong et al., 2018). The major clinical problem taking a toll on this patient’s health is malabsorption syndrome. In this case, there is an interruption of the absorptive process at the small intestines, through chemical interruption or a defected brush border, preventing protein absorption for the patient (McCance & Heuther, 2019). A lack of circulating protein is causing the patient’s symptoms, as stated previously.
Malabsorption syndrome can have many different causes, both extrinsic and intrinsic. Older adults are more likely to experience malabsorption due to prolonged illnesses or exposures to medication and chemicals (Clark & Johnson, 2018). Young children, however, are less likely to experience this condition. Therefore, it is easier to pinpoint the cause of the problem in children. If a very young child would present with similar symptoms, I would sooner lookout for diseases such as Cystic fibrosis and milk protein intolerances and their genetic indicators (Cleveland Clinic, 2022).
Group A, scenario 1, presents the case of a 16-year-old boy who is diagnosed with strep throat. Upon discharge, he is prescribed amoxicillin to treat the infection which quickly induces an anaphylactic response after he takes his first dose. As is typical of a type 1 hypersensitivity reaction, he quickly develops facial edema, dyspnea, and audible wheezes. This scenario illustrates two common pathologies that affect adults and children, namely, strep throat (Group A Streptococcus) and anaphylaxis (Type I hypersensitivity).
Group A strep is a bacteria that affects the nose and throat of young children and can be spread to adults through respiratory droplets (Centers for Disease Control and Prevention, 2022). Anaphylaxis is an exaggerated immune response to an allergen. Many biological components are involved in what is commonly known as an allergic reaction. Anaphylaxis is the most severe and life-threatening form of an allergy.
At the cellular level, a foreign substance called an antigen – in this case, penicillin – enters the body and is immediately identified as a threat by the immune system which mounts an acute inflammatory response. Type I hypersensitivities are mediated by immunoglobulin E (IgE) antibodies and the products of mast cells (i.e., histamines and leukotrienes; Justiz-Vaillant & Zito, 2019).
According to McCance and Huether (2018), the most potent mediator of this process is histamine, which acts through H1 receptors located in the smooth muscle cells of several tissues including the airway, heart/blood vessels, and brain. The symptoms experienced by the patient in the scenario can be explained by the effects of this mediator.
Histamine causes smooth muscle contraction leading to bronchial airway constriction and, therefore, dyspnea and wheezing; increased capillary permeability, which causes edema; and vasodilation, which increases blood flow to the affected areas (erythema).
Various factors play a role in the susceptibility of individuals to atopic conditions including environment, genetics, age, and gender. Allergies have a strong genetic component according to Aldakheel (2021). 70% of identical twins and 40% of non-identical twins have reported similar allergies. Furthermore, individuals with hereditary ?-tryptasemia have been identified for increased risk for severe anaphylaxis (Lyons et al., 2021).
Allergies tend to occur more frequently in children than adults as IgE levels peak in infancy and decrease with age up until about 30 years where they level off. Young boys tend to experience allergies more often than young girls due to higher sensitization rates for grass pollen, dust mites, and cat epithelium. The author also states that many of these sex and age differences tend to diminish over time.
Please be mindful of plagiarism and APA format, I have included the rubric. Please use my course resources as one of my references as instructed. Please include McCance, K. L. & Huether, S. E. (2019). Pathophysiology: The biologic basis for disease in adults and children (8th ed.). St. Louis, MO: Mosby/Elsevier in the references.
An understanding of the cardiovascular and respiratory systems is a critically important component of disease diagnosis and treatment. This importance is magnified by the fact that these two systems work so closely together. A variety of factors and circumstances that impact the emergence and severity of issues in one system can have a role in the performance of the other.
Effective disease analysis often requires an understanding that goes beyond these systems and their capacity to work together. The impact of patient characteristics, as well as racial and ethnic variables, can also have an important impact.
Photo Credit: yodiyim / Adobe Stock
An understanding of the symptoms of alterations in cardiovascular and respiratory systems is a critical step in diagnosis and treatment of many diseases. For APRNs this understanding can also help educate patients and guide them through their treatment plans.
In this Assignment, you examine a case study and analyze the symptoms presented. You identify the elements that may be factors in the diagnosis, and you explain the implications to patient health.
Scenario 4: 45-year-old woman presents with chief complaint of 3-day duration of shortness of breath, cough with thick green sputum production, and fevers. Patient has history of COPD with chronic cough but states the cough has gotten much worse and is interfering with her sleep. Sputum is thicker and harder for her to expectorate. CXR reveals flattened diaphragm and increased AP diameter. Auscultation demonstrates hyper resonance and coarse rales and rhonchi throughout all lung fields.
Assignment (1- to 2-page case study analysis)
In your Case Study Analysis related to the scenario provided, explain the following
NOTE: PLEASE INCLUDE AN INTRODUCTION WITH A PURPOSE STATEMENT, TITLE PAGE, REFERENCE PAGE, AND A SUMMARY.
QUESTION 1
A 77-year-old female was brought to the clinic by her daughter who stated that her mother had become slightly confused over the past several days. She had been stumbling at home and had fallen twice but was able to walk with some difficulty. She had no other obvious problems and had been eating and drinking. The daughter became concerned when she forgot her daughter’s name, so she thought she better bring her to the clinic.
HPI: Type II diabetes mellitus (DM) with peripheral neuropathy x 30 years. Emphysema. Situational depression after death of spouse 6-months ago
SHFH: – non contributary except for 40 pack/year history tobacco use.
Meds: Metformin 1000 mg po BID, ASA 81 mg po qam, escitalopram (Lexapro) 5 mg po q am started 2 months ago
Labs-CBC WNL; Chem 7- Glucose-102 mg/dl, BUN 16 mg/dl, Creatinine 1.1 mg/dl, Na+116 mmol/L,
K+4.2 mmol/L, CO237 m mol/L, Cl–97 mmol/L.
The APRN refers the patient to the ED and called endocrinology for a consult for diagnosis and management of syndrome of inappropriate antidiuretic hormone (SIADH).
Question:
1. Define SIADH and identify any patient characteristics that may have contributed to the development of SIADH
Scenario 2: Type 1 Diabetes
A 14-year-old girl is brought to the pediatrician’s office by his parents who are concerned about their daughter’s weight loss despite eating more, frequent urination, unquenchable thirst, and fatigue that is interfering with her school activities. She had been seemingly healthy until about 4 months ago when her parents started noticing these symptoms. She admits to sleeping more and gets tired very easily.
PMH: noncontributory.
Allergies-NKDA
FH:- maternal uncle with “some kind of sugar diabetes problem” but parents unclear on the exact disease process
SH: denies alcohol, tobacco or illicit drug use. Not sexually active.
Labs: random glucose 244 mg/dl.
DIAGNOSIS: Diabetes Mellitus type 1 and refers to an endocrinologist for further work up and management plan.
Question
1. Explain the pathophysiology of the three P’s for (polyuria, polydipsia, polyphagia)” with the given diagnosis of Type I DM.
QUESTION 3
A 14-year-old girl is brought to the pediatrician’s office by his parents who are concerned about their daughter’s weight loss despite eating more, frequent urination, unquenchable thirst, and fatigue that is interfering with her school activities. She had been seemingly healthy until about 4 months ago when her parents started noticing these symptoms. She admits to sleeping more and gets tired very easily.
PMH: noncontributory.
Allergies-NKDA
FH:- maternal uncle with “some kind of sugar diabetes problem” but parents unclear on the exact disease process
SH: denies alcohol, tobacco or illicit drug use. Not sexually active.
Labs: random glucose 244 mg/dl.
DIAGNOSIS: Diabetes Mellitus type 1 and refers to an endocrinologist for further work up and management plan.
Question
1. Explain the genetics relationship and how this and the environment can contribute to Type I DM.
QUESTION 4
A 55-year-old male presents with complaints of polyuria, polydipsia, polyphagia, and weight loss. He also noted that his feet on the bottom are feeling “strange” “like ants crawling on them” and noted his vision is blurry sometimes. He has increased an increased appetite, but still losing weight. He also complains of “swelling” and enlargement of his abdomen.
PMH: HTN – well controlled with medications. He has mixed hyperlipidemia, and central abdominal obesity. Physical exam unremarkable except for decreased filament test both feet. Random glucose in office 333 mg/dl.
Diagnosis: Type II DM and prescribes oral medication to control the glucose level and also referred the patient to a dietician for dietary teaching.
Question:
1. How would you describe the pathophysiology of Type II DM?
QUESTION 5
A patient walked into your clinic today with the following complaints: Weight gain (15 pounds), however has a decreased appetite with extreme fatigue, cold intolerance, dry skin, hair loss, and falls asleep watching television. The patient also tearfulness with depression, and with an unknown cause and has noted she is more forgetful. She does have blurry vision.
PMH: Non-contributory.
Vitals: Temp 96.4?F, pulse 58 and regular, BP 106/92, 12 respirations. Dull facial expression with coarse facial features. Periorbital puffiness noted.
Diagnosis: hypothyroidism.
Question:
What causes hypothyroidism?
Question 1: Syndrome of Antidiuretic Hormone (SIADH)
Normally, the secretion of antidiuretic hormone (ADH) is influenced by plasma osmolality. However, SIADH results when the ADH secretion is excessive regardless of the plasma osmolality, thus leading to increased water retention by kidneys and the resultant electrolyte imbalances worse, which is dilutional hyponatremia (Mentrasti et al., 2020). The patient presentation relates to such hyponatremia.
Different factors predispose an individual to SIADH development, including advanced age, drug use, brain disorders, and malignancies. The patient in the case study had some of these factors that might have predisposed her to develop the condition. She is older than 50 years, has type 2 diabetes mellitus, has a long-standing history of cigarette smoking, and is on different medications for managing depression, including antidepressants.
Patients with advanced age may develop ineffective secretion of ADH due to medications such as antidepressants and NSAIDs that interfere with renal function (Al-Hinai et al., 2021). Further, a history of smoking is suggestive of undiagnosed lung malignancy and emphysema that has been associated with SIADH. In addition, the patient had a history of falls from which she may have sustained intracranial bleeding, thus resulting in SIADH (Mentrasti et al., 2020). These factors should be investigated and appropriately addressed.
Question 2: Pathophysiology of three P`s in type I diabetes Mellitus
Patients with type 1 diabetes mellitus (DM) have autoimmune destruction of the pancreas’s ?-islet cells, leading to absolute insulin deficiency in the body (Nigro et al., 2018). They, therefore, have disorders in the metabolism of glucose, resulting in high serum levels of glucose. As a result of this hyperglycemia, the renal threshold for glucose is overcome, and glucose is passed into the urine (Nigro et al., 2018).
Glycosuria increases the osmotic potential of the urine, thus leading to increased water loss resulting in polyuria. Consequently, the individual becomes dehydrated and the thirst center is stimulated to increase the water intake to offset the dehydration (Banday et al., 2020). This increase in water intake is polydipsia. Further, glucosuria also reduces the body’s carbohydrates, and the individual increases food intake to replenish the lost sugars (Nigro et al., 2018). Polyphagia refers to this increased food intake in DM.
Question 3: How Genetics and Environmental Factors Contribute to Type 1 DM
Type 1 DM results from autoimmune destruction of pancreatic cells. It is estimated that 50% of the affected individuals have a hereditary genetic predisposition, as witnessed by the fragility at chromosome 6p21 and the insulin gene found in chromosome 11p15 (Blanter et al., 2019). In addition to this predisposition, the affected individuals may be triggered by environmental factors such as obesity and viral infection, leading to the development of diabetes mellitus, especially in the younger population (Nigro et al., 2018).
Question 4: Pathology of Type 2 DM
Type 2 DM, in contrast to type 1 DM, results from absolute insulin deficiency, results from relative insulin deficiency due to reduced secretion of insulin by the pancreas, increased insulin resistance by the peripheral tissues, or both (Galicia-Garcia et al., 2020). It can also be due to increased levels of insulin counterregulatory hormones. This relative insulin deficiency leads to reduced utilization of glucose in the affected individual, and the lipids are metabolized instead (Banday et al., 2020). This is the hallmark of hyperglycemia and other patient presentation encountered in type 2 DM.
Question 5: Causes of Hypothyroidism
Hypothyroidism is the low secretion of thyroid hormones by the thyroid gland. Such low secretion can be due to disorders of the thyroid gland, pituitary gland, or hypothalamus. The disorders of the thyroid gland include the use of amiodarone, iodine deficiency, thyroidectomy, thyroid radiation, and Hashimoto’s thyroiditis (Chiovato et al., 2019). These conditions contribute to the majority of hypothyroidism cases, although hypopituitarism and deficiency of hypothalamus hormones (McDermott, 2020).
Al-Hinai, A., Al-Murshedi, F., Al-Nabhani, D., & Al-Thihli, K. (2021). Syndrome of inappropriate antidiuretic hormone secretion in a patient with uncontrolled tyrosinemia type 1. Sultan Qaboos University Medical Journal, 21(2), e312–e315. https://doi.org/10.18295/squmj.2021.21.02.023
Banday, M. Z., Sameer, A. S., & Nissar, S. (2020). Pathophysiology of diabetes: An overview. Avicenna Journal of Medicine, 10(4), 174–188. https://doi.org/10.4103/ajm.ajm_53_20
Blanter, M., Sork, H., Tuomela, S., & Flodström-Tullberg, M. (2019). Genetic and environmental interaction in type 1 diabetes: A relationship between genetic risk alleles and molecular traits of Enterovirus infection? Current Diabetes Reports, 19(9), 82. https://doi.org/10.1007/s11892-019-1192-8
Chiovato, L., Magri, F., & Carlé, A. (2019). Hypothyroidism in context: Where we’ve been and where we’re going. Advances in Therapy, 36(Suppl 2), 47–58. https://doi.org/10.1007/s12325-019-01080-8
Galicia-Garcia, U., Benito-Vicente, A., Jebari, S., Larrea-Sebal, A., Siddiqi, H., Uribe, K. B., Ostolaza, H., & Martín, C. (2020). Pathophysiology of type 2 Diabetes Mellitus. International Journal of Molecular Sciences, 21(17), 6275. https://doi.org/10.3390/ijms21176275
McDermott, M. T. (2020). Hypothyroidism. Annals of Internal Medicine, 173(1), ITC1–ITC16. https://doi.org/10.7326/aitc202007070
Mentrasti, G., Scortichini, L., Torniai, M., Giampieri, R., Morgese, F., Rinaldi, S., & Berardi, R. (2020). Syndrome of inappropriate antidiuretic hormone secretion (SIADH): Optimal management. Therapeutics and Clinical Risk Management, 16, 663–672. https://doi.org/10.2147/TCRM.S206066
Nigro, N., Grossmann, M., Chiang, C., & Inder, W. J. (2018). Polyuria-polydipsia syndrome: a diagnostic challenge. Internal Medicine Journal, 48(3), 244–253. https://doi.org/10.1111/imj.13627
QUESTION 1
A 68-year-old obese male presents to the clinic with a 3-day history of fever with chills, and Lt. great toe pain that has gotten progressively worse. Patient states this is the first time that this has happened, and nothing has made it better and walking on his right foot makes it worse. He has tried acetaminophen, but it did not help. He took several ibuprofen tablets last night which did give him a bit of relief.
HPI: hypertension treated with Lisinop
Post with a description of two patients. Remember, you do not need a complete assessment of all body systems, just the body system we are studying this week. Your post needs to be at least 250 words and requires full references in APA format for any resource you use.
You have two very ill patients this week, and each of them presents a very complicated case. First, you have a patient with an ongoing problem that has resisted diagnosis.
He was en route to an evaluation with a neurologist, but on the way to the hospital suddenly fell into a coma (a state of involuntary unconsciousness due to illness or injury) and had to be brought in to your medical facility by ambulance.
You will use at least 10 medical terms to describe this patient, and to refer to the original underlying problem the patient had in the first place.
Use the nervous system medical word elements chart and the medical, surgical, and diagnostic terms chart on from your textbook to get you started on the medical terms you will need. You can include specific drugs used in neurological disease as you list at least 3 tests and procedures used.
Your second patient this week is also quite ill and is presenting a number of problems. This patient is diabetic, and also has another Endocrine System disorder (of your choice). Consult the endocrine medical word elementschart as you develop medical terms—include at least 10 that would be appropriate in this case. You should consult medical, surgical, and diagnostic procedures in your textbook as you select at least 3 tests and procedures for this patient.
You must proofread your paper. But do not strictly rely on your computer’s spell-checker and grammar-checker; failure to do so indicates a lack of effort on your part and you can expect your grade to suffer accordingly. Papers with numerous misspelled words and grammatical mistakes will be penalized. Read over your paper – in silence and then aloud – before handing it in and make corrections as necessary. Often it is advantageous to have a friend proofread your paper for obvious errors. Handwritten corrections are preferable to uncorrected mistakes.
Use a standard 10 to 12 point (10 to 12 characters per inch) typeface. Smaller or compressed type and papers with small margins or single-spacing are hard to read. It is better to let your essay run over the recommended number of pages than to try to compress it into fewer pages.
Likewise, large type, large margins, large indentations, triple-spacing, increased leading (space between lines), increased kerning (space between letters), and any other such attempts at “padding” to increase the length of a paper are unacceptable, wasteful of trees, and will not fool your professor.
The paper must be neatly formatted, double-spaced with a one-inch margin on the top, bottom, and sides of each page. When submitting hard copy, be sure to use white paper and print out using dark ink. If it is hard to read your essay, it will also be hard to follow your argument.
ORDER HERE FOR ORIGINAL, ORDER THROUGH BOUTESSAY ON Discussion: Aspects of A Health Concern Not Being Addressed Despite the Efforts of Services & Partnerships Involved
Assignment:
Answering the following questions may assist in data interpretation:
The assignment should be written in an APA-formatted essay. The essay should be between 1500 and 2000 words in length and include at least two scholarly sources other than provided materials. Please submit your current, updated N493 – Project Hour Log
project_hour_log.docxYou must proofread your paper. But do not strictly rely on your computer’s spell-checker and grammar-checker; failure to do so indicates a lack of effort on your part and you can expect your grade to suffer accordingly. Papers with numerous misspelled words and grammatical mistakes will be penalized.
Read over your paper – in silence and then aloud – before handing it in and make corrections as necessary. Often it is advantageous to have a friend proofread your paper for obvious errors. Handwritten corrections are preferable to uncorrected mistakes.
Use a standard 10 to 12 point (10 to 12 characters per inch) typeface. Smaller or compressed type and papers with small margins or single-spacing are hard to read. It is better to let your essay run over the recommended number of pages than to try to compress it into fewer pages.
Likewise, large type, large margins, large indentations, triple-spacing, increased leading (space between lines), increased kerning (space between letters), and any other such attempts at “padding” to increase the length of a paper are unacceptable, wasteful of trees, and will not fool your professor.
The paper must be neatly formatted, double-spaced with a one-inch margin on the top, bottom, and sides of each page. When submitting hard copy, be sure to use white paper and print out using dark ink. If it is hard to read your essay, it will also be hard to follow your argument.
ADDITIONAL INSTRUCTIONS FOR THE CLASS
Discussion Questions (DQ)
Weekly Participation
APA Format and Writing Quality
Use of Direct Quotes
LopesWrite Policy
Late Policy
Communication
Communication is so very important. There are multiple ways to communicate with me:
When you wake in the morning, you may reach for your cell phone to reply to a few text or email messages that you missed overnight. On your drive to work, you may stop to refuel your car. Upon your arrival, you might swipe a key card at the door to gain entrance to the facility. And before finally reaching your workstation, you may stop by the cafeteria to purchase a coffee.
From the moment you wake, you are in fact a data-generation machine. Each use of your phone, every transaction you make using a debit or credit card, even your entrance to your place of work, creates data. It begs the question: How much data do you generate each day? Many studies have been conducted on this, and the numbers are staggering: Estimates suggest that nearly 1 million bytes of data are generated every second for every person on earth.
As the volume of data increases, information professionals have looked for ways to use big data—large, complex sets of data that require specialized approaches to use effectively. Big data has the potential for significant rewards—and significant risks—to healthcare. In this Discussion, you will consider these risks and rewards.
Also Read:
Discussion: The Application of Data to Problem-Solving NURS 6051
Assignment: The Nurse Leader as Knowledge Worker NURS 6051
Interaction Between Nurse Informaticists and Other Specialists NURS 6051
NURS 6051 Assignment: The Impact of Nursing Informatics on Patient Outcomes and Patient Care Efficiencies
To Prepare this Discussion: Big Data Risks and Rewards NURS 6051:
By Day 3 of Week 5
Post a description of at least one potential benefit of using big data as part of a clinical system and explain why. Then, describe at least one potential challenge or risk of using big data as part of a clinical system and explain why. Propose at least one strategy you have experienced, observed, or researched that may effectively mitigate the challenges or risks of using big data you described. Be specific and provide examples.
By Day 6 of Week 5
Respond to at least two of your colleagues* on two different days, by offering one or more additional mitigation strategies or further insight into your colleagues’ assessment of big data opportunities and risks Discussion: Big Data Risks and Rewards NURS 6051.
*Note: Throughout this program, your fellow students are referred to as colleagues.
Big Data in nursing practice has no unified definition. However, the baseline meaning of Big Data corresponds to the enormous size of data regarding volume, velocity, variety, and veracity (Wong et al., 2016).
The advancement of technology and clinical research studies has increased the amount of data handled in every facet of nursing practice. The use of big data in the clinical system has potential benefits and risks. This paper will discuss the potential benefits and risks associated with the utilization of big data in nursing clinical systems and propose one strategy to prevent the risks.
In the nursing practice, big data sources include the nursing clinical research findings, patient medical records, and results of clinical examination and laboratory investigations, including imaging. The application of big data concepts in the healthcare industry aims at improving the quality of healthcare outcomes by revolutionizing and modernizing healthcare practice (Agrawal & Prabakaran, 2020).
Including technology in handling big data in nursing and clinical research has potential benefits for future healthcare. Analysis and utilization of big data will positively impact healthcare quality by increasing its effectiveness while reducing costs.
Secondly, insight descriptive analysis of big data yields diagnostic data that result in predictive outcomes. The predictive outcomes yield prescriptive results that lead to smarter and cost-effective health outcomes (Dash et al., 2019).
This can happen in four different ways: early risk factor determination; early determination of markers or signals of adverse situations of disease or intervention; timely decision making based on analyzed past data; and ability to predict future outcomes of diseases (Pastorino et al., 2019). Through these four ways, big data ensures timely diagnosis and effectiveness of interventions, improved patient safety and pharmaco-vigilance, and disease prevention.
Scrutinizing big data differs from a secondary healthcare data analysis in the health setting. The intention of big data analysis and utilization of this data with undiscovered scope or size is to answer certain research questions and uncover certain disease conditions that are yet to be fully epidemiologically described. Therefore, big data has the potential of changing the course and practice of medicine and nursing by making them more preventive, diagnostic, and therapeutic (Ienca et al., 2018).
Despite the described benefits of big data, it is still unclear whether it is the answer to the limited quality of care delivery and access faced in different global contexts. The concept of unmeasured confounding makes determinations of the statistical associations in causations Discussion: Big Data Risks and Rewards NURS 6051.
The increase in the size of data increases the chances of biases in data sets and making inferences from the analyzed big data. Various other confounders can cause a high variation in correlations from the big data analyses. As a new concept of data mining and utilization in the clinical system, big data analysis will require specialized advanced technology and skills that are yet to be widespread among clinical researchers and clinicians (Wong et al., 2016).
Further, digital maturity in healthcare lags compared to other fields (Suter-Crazzolara, 2018). There are ethical implications and violations that come with the utilization of big data, such as privacy, gender discrimination, and data protection (Alexandru et al., 2018). A study by Ienca et al. (2018) suggests a solution to the ethical challenges that entails scrutinizing biomedical research using big data regarding social benefits, data control, accountability, purpose, ability, and intention to share. While solvable, the methodological and ethical risks that come with the utilization of big data tend to require proper scrutinization.
The big data concept implies the enormous volume, veracity, and velocity of ever-increasing data available in biomedical research and data analysis Discussion: Big Data Risks and Rewards NURS 6051.
The benefit of the utilization of big data would reduce the cost of healthcare while increasing its effectiveness and timeliness of care. However, there still exist challenges of technical limitations and risks of ethical violations in big data use, which, alongside the apparent lag in big data usage in clinical settings, might jeopardize future integration into nursing practice.
Agrawal, R., & Prabakaran, S. (2020). Big data in digital healthcare: lessons learned and recommendations for general practice. Heredity, 124(4), 525-534. https://doi.org/10.1038/s41437-020-0303-2
Alexandru, A., Radu, I., & Bizon, M. (2018). Big Data in Healthcare – Opportunities and Challenges. Informatica Economica, 22(2/2018), 43-54. https://doi.org/10.12948/issn14531305/22.2.2018.05
Dash, S., Shakyawar, S., Sharma, M., & Kaushik, S. (2019). Big data in healthcare: management, analysis, and future prospects. Journal Of Big Data, 6(1). https://doi.org/10.1186/s40537-019-0217-0
Ienca, M., Ferretti, A., Hurst, S., Puhan, M., Lovis, C., & Vayena, E. (2018). Considerations for ethics review of big data health research: A scoping review. PLOS ONE, 13(10), e0204937. https://doi.org/10.1371/journal.pone.0204937
Pastorino, R., De Vito, C., Migliara, G., Glocker, K., Binenbaum, I., Ricciardi, W., & Boccia, S. (2019). Benefits and challenges of Big Data in healthcare: an overview of the European initiatives. European Journal Of Public Health, 29(Supplement_3), 23-27. https://doi.org/10.1093/eurpub/ckz168
Wong, H., Chiang, V., Choi, K., & Loke, A. (2016). The Need for a Definition of Big Data for Nursing Science: A Case Study of Disaster Preparedness. International Journal Of Environmental Research And Public Health, 13(10), 1015. https://doi.org/10.3390/ijerph13101015
Laureate Education (Producer). (2018). Informatics Tools and Technologies [Video file]. Baltimore, MD: Author.
Accessible player –Downloads– Download Video w/CC Download Audio Download Transcript
Learning Objectives
Students will:
Adopting new healthcare technology as information technology also advances comes with big data. According to Dash et al. (2019), big data means the enormous amount of information created by adopting technologies that collect patients’ records, which require new technology to capture, store, analyze, and assist decision-making, optimize processes, and manage hospital performance.
Big data may have different potential benefits and challenges. However, some strategies can be used to overcome the risks. This discussion presents the potential benefits and challenges of using big data as part of a clinical system and the reasons behind these potential benefits or challenges. It will also propose a strategy to mitigate big data’s potential challenges or risks effectively.
The potential benefits of having big data as a part of a clinical system include improved research and better patient care. As mentioned earlier, big data means enormous amounts of information. When researchers have large volumes of information, they are more likely to collect enough data for medical research.
Hassan et al. (2019) note that big data enhances better and more unbiased medical research since there is enough data from which to draw conclusions. In addition, big data in clinical systems can lead to better patient care in that adequate data volumes mean a better understanding of current patient care services. According to Shilo et al. (2020), big data enables healthcare administrators to understand patient care experiences better, thus improving them.
The potential challenges and risks of using big data in clinical systems include privacy and security issues and lack of the required talent/skillset. Big data entails patients’ personal/medical information. Thew (2016) notes that access to patient data by unauthorized persons may lead to privacy and security issues as the data can be used for phishing and scams, among other malicious intentions. In addition, managing and analyzing big data requires a certain skill set, which is a significant challenge. A combination of statistical, medical, and information technology knowledge is needed to apply big data solutions, which is hard to find.
One strategy to mitigate the risks of using big data in clinical systems is robust data privacy and security safeguards. These safeguards include biometric verification, passwords, firewall installation, and the development of institutional policies for data protection. The other strategy is providing comprehensive and quality data training for the personnel to manage big data in an institution. Therefore, using the proposed strategies will help overcome big data risks and enable an institution to enjoy big data benefits.
Dash, S., Shakyawar, S. K., Sharma, M., & Kaushik, S. (2019). Big data in healthcare: management, analysis and future prospects. Journal of Big Data, 6(1), 1-25. https://doi.org/10.1186/s40537-019-0217-0
Hassan, M. K., El Desouky, A. I., Elghamrawy, S. M., & Sarhan, A. M. (2019). Big data challenges and opportunities in healthcare informatics and smart hospitals. Security in Smart Cities: Models, Applications, and Challenges, 3-26. https://doi.org/10.1007/978-3-030-01560-2_1
Shilo, S., Rossman, H., & Segal, E. (2020). Axes of a revolution: challenges and promises of big data in healthcare. Nature Medicine, 26(1), 29-38. https://doi.org/10.1038/s41591-019-0727-5
Thew, J. (2016, April 19). Big data means big potential, challenges for nurse execs. Accessed 21st June 2023 from https://www.healthleadersmedia.com/nursing/big-data-means-big-potential-challenges-nurse-execs
HealthIT.gov. (2018c). What is an electronic health record (EHR)? Retrieved from
https://www.healthit.gov/faq/what-electronic-health-record-ehr
Rao-Gupta, S., Kruger, D. Leak, L. D., Tieman, L. A., & Manworren, R. C. B. (2018). Leveraging interactive patient care technology to Improve pain management engagement. Pain Management Nursing, 19(3), 212–221.
Skiba, D. (2017). Evaluation tools to appraise social media and mobile applications. Informatics, 4(3), 32–40.
Also Read: Assignment: Evidence-Based Project, Part 2: Advanced Levels of Clinical Inquiry and Systematic Reviews
Technology advancements have revolutionized healthcare delivery. Big data entails widely implemented technology, focusing on increasing efficiency in care delivery. An example of big data is electronic health records widely applied in all healthcare facility departments. These technologies convey risks and advantages, and this essay addresses the advantages and rewards of big data in healthcare.
One of the potential benefits of big data is improved decision-making (Ngiam & Khor, 2019). Decisions made are high-quality and big data improves access to information and analytics. Big data helps provide a patient health history and analytics such as prevalence, incidences, and rates without much hustle. The information and analytics help make better care decisions hence better outcomes.
Ngiam and Khor (2019) note that big data also enhances healthcare data organization, making it easy to retrieve and utilize. Patient information is significant, and big data integration in the healthcare system allows individuals to organize information appropriately for more efficient care. For example, nurses can categorize patients based on age or diagnosis for easier management.
One potential risk of big data use is incompetent data analysis risks (Ngiam & Khor, 2019). Healthcare decisions primarily rely on analyzed data for decision-making. Big data provide an efficient way for data analysis. However, mistakes in the analysis process may lead to significant problems due to poor inferences and bad decisions based on wrong analysis.
Vigilance is thus necessary to prevent such problems. Data privacy issues are also a common problem with Big Data in healthcare (Ngiam & Khor, 2019). External attackers often target data from these systems and can access patient data for personal use, which is against privacy rules and regulations.
Intrusion detection and encryption software are essential strategies for ensuring the security and privacy of healthcare data (Price & Cohen, 2019). These strategies help prevent intruders from accessing the systems and also help ensure intruders who access the systems are detected and action against their activity implemented.
My current institution uses multiple data systems to ensure data analyzed is correct. Analysis using different systems helps establish data consistency and reliability. Big data integral in healthcare systems are vital and covey benefits such as better decision making. However, issues such as privacy and security breaches affect the technologies. Strategies such as intrusion detection can help address these risks.
Ngiam, K. Y., & Khor, W. (2019). Big data and machine learning algorithms for healthcare delivery. The Lancet Oncology, 20(5), e262-e273. https://doi.org/10.1016/S1470-2045(19)30149-4
Price, W. N., & Cohen, I. G. (2019). Privacy in the age of medical big data. Nature Medicine, 25(1), 37-43. https://doi.org/10.1038/s41591-018-0272-7
Evidence-based practice (EBP) entails the use of available evidence to guide clinical decisions regarding a specific patient case. EBP ensures that caregivers provide quality care at reasonable cost. A systematic and holistic approach is used in executing EBP (Backhouse & Ogunlayi, 2020). Nurses, like other healthcare providers, use proven evidence to guide clinical decisions and offer quality care. The three major building blocks of EBP are internal evidence, external evidence, and practitioner`s clinical expertise.
Internal evidence refers to information gathered directly from the patient regarding the services they receive (Backhouse & Ogunlayi, 2020). It includes both the objective and subjective data gathered through observation. Clinical expertise is required in determining the relevance of the information and now it will be used to improve the quality of services.
External evidence, on the other hand, refers to evidence from the scientific research literature. The literature includes systematic reviews, meta-analyses, clinical guidelines, data, and conclusions from studies. The scientific works of literature are reviewed and provide relevant information that best suits the interests of the patients. The population, intervention, comparison, and outcome (PICO) question are useful in helping to collect relevant and systematic external evidence.
Both external and internal evidence are useful in quality improvement in several ways. The information gathered from internal evidence is useful in understanding the clients and their expectations. This helps in formulating better ways of addressing the clients` concerns and aim at client satisfaction through improved quality of care (Li, Cao & Zhu, 2019). Clinical expertise serves a major benefit in internal evidence determination. On the other hand, external evidence is useful in determining how effective the model being used is, and helps in coming up with better ways of improving it based on information gathered from scientific research.
EBP guides best clinical practice and enhances decision-making. Evidence from both internal and external sources is useful in improving the quality of care. Improved care leads to increased client satisfaction, reduced readmission rates, effective control of diseases, and improved quality of life at a lower cost.
Objectives
Understanding the signs and symptoms early enough allows for early administration of medication to reduce the severe effects of the disease. Inserting a catheter under an aseptic environment reduces the entry of micro-organisms with the catheter, this reduces the likelihood of infection. Prolonged antibiotic exposure can lead to resistance and this can be challenging when one acquires an infection that requires those particular antibiotics (Mitchell et al., 2017). In such cases, treatment will be hard to achieve leading to severe forms of the disease. Additionally, prolonged stay with catheters increases the rate of CAUTIs. It is therefore advisable that the catheters are placed at a specified time then removed to reduce infection. Finally, the catheter should only be placed on those patients that need it dearly (Rozario, 2018). In case there is no strong indication for the need for a catheter, then it should not be inserted. Also reviewing patients with the catheter is important as it helps identify those who no longer need it. Timely removal of the catheter reduces the patient’s exposure to CAUTIs.
This project ensures that patients are involved in decision-making. Consent should be acquired from the patient before inserting the catheter. Ideally, the nurse must inform the patient of all the risks and benefits associated with catheter use. This, according to Saitone, Sexton and Ward (2018), is because the effects brought about by CAUTIs, such as pain, urgency, increased frequency, and dribbling of urine are devastating. Reducing the rates of infection ensures that a patient lives without disturbances and enhances the likelihood of improved quality of life.
The intention of any research is to educate and provide a window for further studies in any given area or topic, in addition to expanding knowledge of the topic. As such, research is expected to be reliable and valid to ensure that it can be considered in future research. The unique characteristic of some of the nursing researches is that they are accessible through nursing databases such as Medline and EMBASE. Research studies may have different characteristics, but they are useful as long as they can meet particular standard criteria. There is also more emphasis on the levels of study, which helps determine the relevance of every study done. This is a critique of a 2019 scientific study on preventing cerebral small vessel disease and inflammation in aging done by Bowman et al.
The study included 102 participants and used words like potential participants, and determined the group of people who were a good fit for the study (Bowman et al., 2019). The study states the study population. It is possible to determine the target population in the study based on the research interests and the location that the study is focused on. The target population included tindividuals at risk of suffering from dementia but had not shown the symptoms. According to the authors, while upto 1100 individuals were screened for eligibility, only 102 proved eligible for the study. A study population includes a group of people involved in the study through informed consent and has agreed to participate in a study. The target population defines the population that should be included in the study to ensure the reliability and validity of the study (Forman et al., 2017).
It is possible to determine the probability sampling approach in the study. The study description of methodology makes it possible to determine that the study considered a probability sampling approach since it is a randomized control trial. Furthermore, the technique is specified, emphasizing that the probability sampling technique has been used by describing the random sampling technique. The research describes the sources of the participants. It describes the previous studies and the importance of incorporating a specific study sample, a factor that according to Forman et al. (2017) ensures that the data presented can meet the required research criteria.
Bowman et al. (2019) have adequately defined the inclusion criteria for the study. The inclusion criteria included individuals aged at least 75 years with a clinical dementia rating of ? 5 and a mini-mental state exam (MMSE) ? 24. The eligibility also required one not to have any of the noticeable depressive disorders before participating in the study. Individuals who already had dementing illnesses were excluded from the study. The inclusion criteria of the study are sufficiently described in the study population. The study describes the geriatric populations without the signs of depression as people who score less than six points on the geriatric depression scale–15 (GDS) and who have good hearing and visual acuity. People who had significant problems with the brain, including traumas, brain disorders, and brain tumors were excluded from the study since the study focuses on prevention. As the authors identified, having the population in the study would limit the effectiveness of the research in determining the effectiveness of the fatty acids in the prevention of dementia.
The research environment has been sufficiently described. The research describes that the participants were from Oregon, Washington, counties near Portland and Oregon. The study considers the specific regions in which the study takes place. The study also considered aging centers, community organizations, and retirement communities. The environments described show the various groups of people that were considered in the study had no specific predispositions other than age. The focus on aging centers, retirement centers, and community organizations show that the study focused mostly on the elderly. The potentiality of every participant was evaluated, and they were given letters to inform them concerning their participation in the study. Arguably, the environment within which a research is done sometimes helps to judge whether the findings thereof are reliable. It is possible to consider a source valid or reliable if the study’s intention matches the data collection techniques. Further, the description of the variable in the study shows that the authors controlled the variables affectively. Thus, based on the data collection and analysis procedure leveraged by Bowman et al. (2019), one can confidently conclude that the data is accurate.
However, the authors seem not to have considered explaining the measures that were included when testing for the reliability of the results. In fact. there is no use of either the Cronbach’s alpha or the kappa statistic to test for the reliability of the tests. Further, the study does not compare the probable reliability coefficients with the previous researches. Reliability, as Cohen, Manion and Morrison (2017) observe, helps determine the levels of stability within which the research can produce consistent results. The approach helps in determining whether one can depend on the study to inform practice/ intervention or not. Thus, failure by the authors to include reliability measures may put into question the accurace of the findings.
The study did not address issues that relate to validity outrightly. However, sufficient information could be used to determine the validity of the information (Clifton, 2020). For example, the analysis of previous researches that was done within the same topic could be of great help. The authors considered determining the effectiveness of every approach that the study was supposed to take. The research mainly relied on the effectiveness of the previous approaches to ensure that the data is also possible to control at some point. As such, the study is accurate towards ensuring a relationship between fatty acid and the incidence of dementia. Finally, it is possible to identify the main variables used in the study. The variables measured in the study include fatty acids, the occurrence of dementia, and the age of the participants.