nursing assessment 2025

WEEK1/ANSWER TO PROFESSOR/ DICUSSION first part is my discussion Physical Examination Physical examination is the evaluation of anatomic findings by using observation, percussion, palpation, and auscultation to obtain information about the patient. Many people who visit healthcare providers follow their instructions but wonder what they are doing or what they are looking for. During a physical examination, a healthcare practitioner is gathering cues to be able to diagnose. When a physical examination is thoughtfully integrated with the information that they provide, history, and path physiology, they should yield at least 20% data that is necessary for diagnosis and management of the patient (Sawyer, 2012). An examination of a 12-year-old child to find the likely cause of the symptoms portrayed would assist in diagnosing the child. You are admitting a 12-year-old child to your unit. The mother states that the child has a history of unexplained blackout episodes, headaches, sleep disturbances, and is presently exhibiting tremors. What is the most likely cause of these symptoms? What actions would you take during the interview process? Explain . I have chosen the 12 year old patient for this discussion. When conducting a physical assessment on children it is imperative to start the collaboration relationship process between the patient and their family members and myself, as the nurse with effective communication strategies. I would first introduce myself to the patient and mother of the patient and explain to the both of them the purpose of the assessment being performed and how the information that they provide will be utilize appropriately. One important aspect to explain to both of them is that the information that they provide to me is protected by HIPAA. I would then use open-ended questions (i.e. what brings you in today) to direct the interview to gain the patient’s history from either the child or from the mother. If more information is needed then I would utilize closed-ended questions or direct statements (i.e. how long has these symptoms been going on) to clarify any additional information. Next, I would take the patient’s vitals and a complete head-to-toe assessment with an emphasis on the neurological system exam, all while explaining to the patient and the mother the reason for me having to do this. By me explaining step-by-step what I am doing will help me to better build a rapport with them as well as giving the patient and the mother a sense of being aware of what is going on, so that if they have any questions I will be able to answer these for them. It would be pretty apparent that with the symptoms that the patient is experiencing may be due to some type of neurological condition. Patient would then need to be referred to a neurologist for further testing to confirm a proper diagnosis. Reference: Assessment Technologies Institute. (n.d.). Physical assessment (child). Retrieved from http://www.atitesting.com/ati_next_gen/skillsmodules/content/physical-assessment-child/viewing/Neurological-a.html Sawyer, S. (2012). Pediatric physical examination & health assessment. Sudbury, MA: Jones & Bartlett Learning. Professor question/ needs to be answer. Strong work. When we thinking about our 1st pt- Considering all aspects of the patient medical history, including the history of close family members, is important to ensure the complete clinical picture is evident. Asking if family members have a history of depression is an important point we must raise during a history assessment of our first patient. Would you agree?

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NURS 6208 final assignment 2025

The project must be typewritten, double spaced and very limited in length (maximum 12 pages). Part I (25%) A NP researcher randomly sampled 100 women aged 50-65 years and measured their minutes of exercise in the past week, BMI, and depression. Depression was measured using a Likert type scale consisting of 20 items. The summation score ranged from 20 to 100 and the higher the score, the higher the level of depression. The Pearson correlation coefficients (r’s) are summarized in the following table. For the analyses, statistical significant level was set at α=0.05. Table 1: correlation among minutes of exercise, BMI and depression Exercise in past week (minutes) BMI BMI -0.15 Depression score -0.30* 0.20 *p < 0.05 1. Write a research and null hypotheses regarding the relationship between exercise and depression. 2. Based on the test statistics in table 1, what is your conclusion regarding your research hypothesis? (Hint: discuss both the magnitude and direction of the relationship). 3. What proportion of variance is shared by minutes of exercise and depression among women 50-65 years of age? 4. For the relationship between minutes of exercise and BMI, a. what was the estimated power of the statistical test? (Using the power table on page 202, table 9.1, Polit 2010). b. What was the risk that a type II error was committed? 5. If -0.20 is a good estimation of population correlation, what sample size would be needed to achieve power of 0.80 at a significance α=0.05? PART II. (25%) Using the “N6208 Final Project Data”, a). select two variables with nominal or ordinal level measurements, and perform the descriptive statistics (frequency and percentage). [Please select only dichotomous variables from the following list: poverty, smoker, PoorHealth ]. b). perform the bi-variate descriptive statistics using crosstabulation. c). Hand calculate the ARs, ARR, RR, and OR. Show all your calculations. d). Perform a chi-square analysis. e). Using APA format, write a full report with the following sections: 1. Introduction : Describe your research question and hypothesis. Include the variables, measurement levels, the bivariate research question, and the hypothesis [ for example, the event of adverse risk (using your variable name here, for instance, alcohol usage) will be higher/or lower in the risk exposed group (i.e., marijuana use) compare to the non-exposed group (non-users of marijuana)] . 2. Method : Include the sample description (sample size, eligibility criteria) and statistical methods used for data analysis. (The sample information can be found in “Polit Dataset Description” in SPSS Data Sets folder). 3. Results : Include frequencies and percentages for the two variables, crosstabulation results, risk indexes (ARs, ARR, RR, and OR), and chi-square test results. Include a summary table for the results and write your interpretation. (Attach SPSS outputs). 4. Discussion : Write a report including summary and interpretation of the findings reported in the previous sections relative to the research questions you posed in your introduction. Part III. (50%) Run a one-way ANOVA using the dataset “N6208 Final Project Data”. The Dataset contains 462 cases from the original PolitDatasetA. Two variables will be used for this analysis: Satisfaction and Houseproblem . The variable Houseproblem is created using the variable housprob , a summary index of eight variables about current housing problems for the women in this sample—for example, whether or not they had their utilities cut off, had vermin in the household, had unreliable hear, and so forth. The variable housprob is a count of the total number of times the women said “yes” to these eight questions. The variable housprob is recoded into Houseproblem based on number of housing problems. The coding for Houseproblem is: 1=no housing problems, 2=one housing problem, and 3= two or more housing problems. Satisfaction measures the overall satisfaction with material sell-being. This variable is a summated rating scale variable for women’s responses to their degree of satisfaction with four aspects of their material sell-being—their housing, food, furniture, and clothing for themselves and their children. Each item was coded from 1 (very dissatisfied) to 4 (very satisfied), so the overall score for the four items could range from a low of 4 (4 X 1) to 16 (4 X 4). Higher score indicates greater satisfaction. This scale has an internal consistency Cronbach’s alpha of 0.90. The content validity and construct validity have been established in previous research. For this analysis, use the variable Houseproblem as the independent (group) variable and variable Satisfaction as the outcome variable. To run the one-way ANOVA, click Analyze → Compare Means → Oneway. In the opening dialogue box, move Satisfaction into the Dependent List and Houseproblem into the slot for Factor. Click the Options pushbutton, and click Descriptives and Homogeneity of Variance, then continue. Next, click the Post Hoc pushbutton and select LSD. Click continue, then OK, and answer the following questions using compete sentences : What are the mean levels of  satisfaction in the three groups? Report the mean, SD, minimum, maximum  and sample size in a table . Write a research question. Write the research hypothesis (Ha)  and the null hypothesis (Ho). What was the value of the F statistic and its p-value? Can the null hypothesis be  rejected? What were the degrees of  freedom? According to the LSD test,  were any group means significantly different from any others? If yes,  which ones? Write a paragraph summarizing all  the results. Attach the relevant SPSS  printouts. Nursing Assignment Help 2025