# HLT362V Grand Canyon Actual Children Weights Evidence Based Practice Paper Complete Exercises 14 and 19 in Statistics for Nursing Research: A Workbook for

HLT362V Grand Canyon Actual Children Weights Evidence Based Practice Paper Complete Exercises 14 and 19 in Statistics for Nursing Research: A Workbook for Evidence-Based Practice, and submit as directed by the instructor. The assignment must be turned into turnitin, so no plagiarizing. The textbook is Statistics for Nursing Research: A Workbook for Evidence-Based Practice.

Exercise 14

Questions to Be Graded EXERCISE 14

1. According to the study narrative and Figure 1 in the Flannigan et al. (2014) study, does the APLS UK formula under- or overestimate the weight of children younger than 1 year of age? Provide a rationale for your answer.

2. Using the values a = 3.161 and b = 0.502 with the novel formula in Figure 1 , what is the predicted weight in kilograms (kg) for a child at 9 months of age? Show your calculations.

3. Using the values a = 3.161 and b = 0.502 with the novel formula in Figure 1 , what is the predicted weight in kilograms for a child at 2 months of age? Show your calculations.

4. In Figure 2 , the formula for calculating y (weight in kg) is Weight in kg = (0.176 × Age in months) + 7.241. Identify the y intercept and the slope in this formula.

5. Using the values a = 7.241 and b = 0.176 with the novel formula in Figure 2 , what is the predicted weight in kilograms for a child 3 years of age? Show your calculations.

6. Using the values a = 7.241 and b = 0.176 with the novel formula in Figure 2 , what is the predicted weight in kilograms for a child 5 years of age? Show your calculations.

7. In Figure 3 , some of the actual mean weights represented by blue line with squares are above the dotted straight line for the novel formula, but others are below the straight line. Is this an expected ﬁ nding? Provide a rationale for your answer.

8. In Figure 3 , the novel formula is (weight in kilograms = (0.331 × Age in months) − 6.868. What is the predicted weight in kilograms for a child 10 years old? Show your calculations.

9. Was the sample size of this study adequate for conducting simple linear regression? Provide a rationale for your answer.

10. Describe one potential clinical advantage and one potential clinical problem with using the three novel formulas presented in Figures 1, 2, and 3 in a PICU setting.

Chapter 19

“Questions to Be Graded.”

1. According to the relevant study results section of the Darling-Fisher et al. (2014) study, what categories are reported to be statistically signiﬁ cant?

2. What level of measurement is appropriate for calculating the χ 2 statistic? Give two examples from Table 2 of demographic variables measured at the level appropriate for χ 2 .

3. What is the χ 2 for U.S. practice region? Is the χ 2 value statistically signiﬁ cant? Provide a rationale for your answer.

4. What is the df for provider type? Provide a rationale for why the df for provider type presented in Table 2 is correct.

5. Is there a statistically signiﬁ cant difference for practice setting between the Rapid Assessment for Adolescent Preventive Services (RAAPS) users and nonusers? Provide a rationale for your answer.

6. State the null hypothesis for provider age in years for RAAPS users and RAAPS nonusers.

7. Should the null hypothesis for provider age in years developed for Question 6 be accepted or rejected? Provide a rationale for your answer.

8. Describe at least one clinical advantage and one clinical challenge of using RAAPS as described by Darling-Fisher et al. (2014) .

9. How many null hypotheses are rejected in the Darling-Fisher et al. (2014) study for the results presented in Table 2 ? Provide a rationale for your answer.

10. A statistically signiﬁ cant difference is present between RAAPS users and RAAPS nonusers for U.S. practice region, χ 2 = 29.68. Does the χ 2 result provide the location of the difference? Provide a rationale for your answer. Actual weight

+ Weight = (3 x age in years) + 7

Weight = (0.331 x ago in months) – 6.868

45

40

35

30

25

20

15

6

8

7

9 10 11 12

Age (years)

FIGURE 3 COMPARISON OF ACTUAL WEIGHT WITH WEIGHT

CALCULATED USING APLS FORMULA “WEIGHT IN KG = (3 x AGE IN

YEARS) + 7” AND NOVEL FORMULA “WEIGHT IN KG -(0.331 x AGE IN

MONTHS) – 6.868”

Flannigan, C, Bourke, T. W., Sproule, A., Stevenson, M., & Terris, M. (2014). Are APLS

formulae for estimating weight appropriate for use in children admitted to PICU? Resuscitation,

85(7), p. 929.

Actual weight

Weight = (0.5 x age in months) + 4

…. Weight – (0.502 x age in months) + 3.161

10

9

8

Weight (kg)

4

4

0 1 2 3 5 6 7 8 9 10 11

Age (months)

FIGURE 1 COMPARISON OF ACTUAL WEIGHT WITH WEIGHT

CALCULATED USING APLS FORMULA “WEIGHT IN KG=(0.5 x AGE IN

MONTHS) + 4” AND NOVEL FORMULA “WEIGHT IN KG = (0.502 X AGE IN

MONTHS) + 3.161”

Hannigan, C., Bourke, T. W., Sproule, A., Stevenson, M., & Terris, M. (2014). Are APLS

formulae for estimating weight appropriate for use in children admitted to PICU? Resuscitation,

85(7), p. 928

Actual weight

Weight – (2 x ago in years) + 8

Weight = (0.176 x age in months) + 7 241

201

18

16

Weight (1)

14

12

10-

2

4.

3

Age (years)

FIGURE 2 COMPARISON OF ACTUAL WEIGHT WITH WEIGHT

CALCULATED USING APLS FORMULA “WEIGHT IN KG – (2 x AGE IN

YEARS) +8” AND NOVEL FORMULA “WEIGHT IN KG = (0.176 x AGE IN

MONTHS) +7.241″

Flannigan, C., Bourke, T. W., Sproule, A., Stevenson, M., & Terris, M. (2014). Are APLS

formulae for estimating weight appropriate for use in children admitted to PICU? Resuscitation,

85(7), p. 928

“Respondents who were not using the RAAPS (n = 90; 45%), had a variety of reasons

for not using it. Most reasons were related to constraints of their health system or practice

site; other reasons were satisfaction with their current method of assessment… and that

they were interested in the RAAPS for academic or research purposes rather than clinical

use” (Darling-Fisher et al., 2014, p. 220).

Chi-square analysis was calculated to determine if any statistically significant differ-

ences existed between the characteristics of the RAAPS users and nonusers. Darling-Fisher

et al. (2014) did not provide a level of significance or a for their study, but the standard

for nursing studies is a = 0.05. “Statistically significant differences were noted between

RAAPS users and nonusers with respect to provider types, practice setting, percent of

adolescent patients, years in practice, and practice region. No statistically significant

demographic differences were found between RAAPS users and nonusers with respect

to race, age” (Darling-Fisher et al., 2014, p. 221). The x’ results are presented in Table 2.

TABLE 2 DEMOGRAPHIC COMPARISONS BETWEEN RAPID ASSESSMENT FOR ADOLESCENT

PREVENTIVE SERVICE USERS AND NONUSERS

Current user

Yes (%) No (%)

x

Provider type (n = 161)

12.7652, df = 2

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