NURS 8740 Week 3 Descriptive Analysis Section Example

Doctoral Seminar IV Walden University Free custom sample in 24 to 48h

This NURS 8740 Week 3 descriptive analysis example reports who was counted in a nurse-led ICU mobilization project before any comparison is made. Walden NURS 8740 asks DNP candidates to describe their patients and data units first, and this section walks from 276 qualifying ventilator days to 49 patients, 15 in the baseline and 34 in the protocol weeks, giving a reason for every removal. Two APA tables follow: patient characteristics by period, with categories defined before counting and separate denominators where scores were missing, and a day-level table matching the unit of analysis. The prose names the one row that differs, lighter sedation in the protocol period, and flags it before any result is reported. Missing documentation is treated as a finding. SQUIRE 2.0 and the PADIS guideline of Devlin and colleagues support the section.

CourseNURS 8740 Doctoral Seminar IV
WeekWeek 3
Paper typeDescriptive analysis section
LengthAbout 1,050 words, 6 pages
FormatAPA 7 student paper
SchoolWalden University
ProgramDoctor of Nursing Practice (DNP)
UpdatedOctober 2026

Free sample paper for NURS 8740 Week 3

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Who Was Counted: A Descriptive Analysis of the Patients and Ventilator Days in the Mobilization Project, Baseline and Protocol Periods

Student Name

College of Nursing, Walden University

NURS 8740: Doctoral Seminar IV

Instructor Name

Month Day, Year

What this page is doingThe title asks the question the section answers, who is being described, which keeps the reader from mistaking a description for a comparison.
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Who Was Counted: A Descriptive Analysis of the Patients and Ventilator Days in the Mobilization Project, Baseline and Protocol Periods

Purpose of This Section

Before any measure is compared across periods, a reader needs to know who was counted, who was left out and whether the two periods describe similar patients. This section reports the flow of records from the cleaned extract to the analysis, then describes the patients and ventilator days in the baseline period, January 5 to February 1, and the first eight protocol weeks, February 2 to March 28. It contains no comparison of the main measure; that belongs in the results. SQUIRE 2.0 asks improvement writers to portray the patients and setting fully enough that a reader can decide whether a difference between periods, rather than the intervention, might account for a change (Ogrinc et al., 2016). That is the whole job of this section, and it stops short of any judgment about the main measure.

What this page is doingThe opening limits the section to description and says where comparison will happen, which prevents the most common fault in this week's work.
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Flow of Records

The cleaned extract contained 352 ventilated patient-days. Six duplicates from bed moves, 51 days under the 24-hour threshold and 19 excluded days left 276 qualifying ventilator days, as documented in the data cleaning memo. Those days belonged to 49 patients: 15 in the baseline period and 34 in the protocol period. Days are assigned to a period by date. Patients are assigned by their first qualifying day, a rule written before the data were examined, so the three patients ventilated across February 1 and 2 appear in the baseline column of Table 1 even though some of their days fall in the protocol period.

The 19 excluded days came from eight patients. Five of them also had qualifying days that remain in the analysis; three were excluded on every day of their stay, all with comfort-care orders from the first morning. Those three are not described below, and a reader should know that the description covers patients who were at least potentially eligible for mobilization.

What this page is doingThe flow paragraph accounts for every patient and day before the table, including the three patients who disappear entirely, so later denominators have a visible origin.
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Patient Characteristics

Table 1 describes the 49 patients. Categories were defined before counting. The admitting reason is the primary reason recorded on the ICU admission note, grouped into four categories: respiratory infection, sepsis from another source, cardiac arrest and other. Severity is the Acute Physiology and Chronic Health Evaluation II score recorded by the unit on admission, and three patients had no score recorded. Sedation depth is the share of 0800 Richmond Agitation-Sedation Scale assessments at minus 2 or lighter during each patient's qualifying days.

Table 1

Characteristics of Patients With at Least One Qualifying Ventilator Day, by Period

CharacteristicBaseline (n = 15)Protocol weeks 1 to 8 (n = 34)
Age, median (range), years63 (38 to 84)66 (29 to 88)
Female, n (%)6 (40)15 (44)
Admitting reason, n (%)
Respiratory infection7 (47)15 (44)
Sepsis from another source4 (27)9 (26)
Cardiac arrest2 (13)4 (12)
Other2 (13)6 (18)
APACHE II score, median (range)22 (14 to 31), n = 1423 (12 to 35), n = 32
Qualifying days per patient, median (range)5 (1 to 14)5 (1 to 16)
0800 sedation assessments at minus 2 or lighter, %58 of 90 (64)141 of 186 (76)

Note. APACHE II = Acute Physiology and Chronic Health Evaluation II. Percentages for the admitting reason may not total 100 because of rounding. The APACHE II row has its own denominator because the score was not recorded for one baseline patient and two protocol patients.

What this page is doingEach category is defined before the table and each column carries its own denominator, so nothing in the table depends on a reader's guess.
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What the Table Shows and Does Not Show

The two groups are similar in age, sex, admitting reason, severity and length of ventilation. Protocol patients were slightly older and slightly more severely ill on admission, by amounts that a unit of this size would see from one quarter to the next. A difference this small in a group of 15 and a group of 34 cannot be tested in any useful way, and the section does not attempt it.

One row differs by more than the others. Sedation was lighter in the protocol period: 76% of 0800 assessments were at minus 2 or lighter, compared with 64% in the baseline. That difference matters because the hospital switched to a sedation order set aiming for lighter sedation on February 1, the day before the protocol started. Lighter sedation makes sitting up possible for more patients regardless of any mobilization protocol, so this row will be carried into the interpretation of the main measure. Sedation and mobilization are linked in published bundles for exactly this reason (Devlin et al., 2018). Describing the difference now, before the main result is reported, keeps it from looking like an explanation found afterward.

What this page is doingThe prose names the one row that matters and why, rather than walking the table cell by cell, and it flags the sedation change before any result could tempt the writer to hide it.
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Ventilator Days

The unit of analysis for the main measure is the qualifying day, not the patient, so Table 2 describes the days.

Table 2

Qualifying Ventilator Days, by Period

CharacteristicBaseline (n = 90 days)Protocol weeks 1 to 8 (n = 186 days)
Weekend days, n (%)26 (29)52 (28)
Days with a mobility level recorded, n (%)86 (96)176 (95)
Days with a safety screen recorded by 0600, n (%)Not applicable158 (85)
Days on which a three-patient assignment was recorded on the unit, n (%)11 (12)27 (15)

Note. Safety screens were not part of practice during the baseline period, so that row has no baseline value. A three-patient assignment means at least one nurse on the day shift carried three patients.

What this page is doingA second table at the level of the day matches the unit of analysis, which is where most descriptive sections quietly switch between patients and days.
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Missing Documentation

Missing values are reported where they occur rather than removed. Four baseline days and ten protocol days have no mobility level; under the operational definition they stay in the denominator and count as not reaching level 3. Three APACHE II scores are missing. No sedation assessment was missing at 0800 on any qualifying day, which reflects a long-standing unit routine. Run charts for the main measure will be read with these gaps in view (Perla et al., 2011), and the share of blank days will be plotted alongside the measure so that a change in recording is not mistaken for a change in mobilization.

None of these gaps was filled from free-text notes, therapy documentation or memory, in keeping with the cleaning rules, and the counts above are therefore the counts a second analyst would obtain from the frozen file.

What this page is doingTreating missing documentation as a finding in its own right earns credit, because it tells the reader how much of the picture is incomplete and in which direction.
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References

Devlin, J. W., Skrobik, Y., Gélinas, C., Needham, D. M., Slooter, A. J. C., Pandharipande, P. P., Watson, P. L., Weinhouse, G. L., Nunnally, M. E., Rochwerg, B., Balas, M. C., van den Boogaard, M., Bosma, K. J., Brummel, N. E., Chanques, G., Denehy, L., Drouot, X., Fraser, G. L., Harris, J. E., . . . Alhazzani, W. (2018). Clinical practice guidelines for the prevention and management of pain, agitation/sedation, delirium, immobility, and sleep disruption in adult patients in the ICU. Critical Care Medicine, 46(9), e825-e873. https://doi.org/10.1097/CCM.0000000000003299

Ogrinc, G., Davies, L., Goodman, D., Batalden, P., Davidoff, F., & Stevens, D. (2016). SQUIRE 2.0 (Standards for QUality Improvement Reporting Excellence): Revised publication guidelines from a detailed consensus process. BMJ Quality & Safety, 25(12), 986-992. https://doi.org/10.1136/bmjqs-2015-004411

Perla, R. J., Provost, L. P., & Murray, S. K. (2011). The run chart: A simple analytical tool for learning from variation in healthcare processes. BMJ Quality & Safety, 20(1), 46-51. https://doi.org/10.1136/bmjqs.2009.037895

The Walden NURS 8740 Week 3 instructions

In this week's assignment, you will usually describe the people and units in your analysis, without comparing outcomes yet. Begin with a flow paragraph that accounts for every record from extraction to analysis and gives a reason for each removal. Define each category before counting it and say where the definition came from. Give every column its own denominator when some data are missing. Describe both the patients and the unit you actually analyze, such as days or visits, if they differ. In the prose, point to the differences between groups that could matter later rather than repeating each cell. Report missing values where they occur and explain how they will be handled, without filling them in.

How the NURS 8740 Week 3 example is put together

The opening limits the section to description and cites SQUIRE 2.0. The flow section traces 352 rows to 276 qualifying days and 49 patients, explains how patients and days are assigned to periods and notes three patients excluded on every day. Table 1 gives age, sex, admitting reason, APACHE II score, days per patient and the share of morning sedation scores at minus 2 or lighter, with a note on abbreviations and denominators. The next section finds the groups similar except for sedation, links that row to the February 1 order set and cites Devlin and colleagues. Table 2 describes days: weekends, recorded levels, screens and three-patient assignments. The final section counts missing values and cites Perla and colleagues on reading run charts.

Where the marks sit in the NURS 8740 Week 3 rubric

Faculty commonly reward descriptive sections whose categories are defined before counting and whose denominators are correct for every row. Tables with undefined groupings or a single overall denominator lose credit in several places, because every later comparison depends on them. Prose is expected to interpret the table selectively, pointing to the differences that could affect the results, not to restate every number. A clear flow from extraction to analysis, with reasons for each removal, shows control over the data. Honest reporting of missing documentation is valued. The section should stay descriptive and leave comparisons of the main measure for the results. Clean APA tables and citations complete the assessment.

NURS 8740 Week 3 help from the desk

Descriptive sections often begin with a table and never explain how the group in it was assembled. Others compute percentages against the wrong base, such as all patients when a score was recorded for only some. Some describe patients when the analysis counts days, so the reader cannot connect the description to the results. A common slip is drifting into comparison and significance testing in a section meant only to describe. Before drafting, decide the unit of analysis, write the category definitions and list the missing values by variable. Our writers can prepare a descriptive section for your project with a record flow, defined tables and prose that points to what matters.

Get a NURS 8740 Week 3 example written to your instructions

Describe the population, the characteristics your section expects reported, and whatever table template came with the prompt, and a matched descriptive example follows. The first custom one costs nothing and arrives inside 24 to 48 hours. Everything is written against the rubric that arrives with it, and the table skeleton follows whatever the prompt specifies.

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NURS 8740 Week 3 questions, answered

Where can I find a free NURS 8740 Week 3 sample paper?

Both tables, the record flow and the prose on what they show are reproduced above, available to anyone without payment.

How many patients are described in the NURS 8740 Week 3 section?

Forty-nine patients with at least one qualifying ventilator day, 15 in the baseline period and 34 in the first eight protocol weeks.

Why does the section describe days as well as patients?

The main measure counts qualifying ventilator days, so a second table at the level of the day matches the unit of analysis used in the results.

Which difference between the periods does the section flag?

Sedation was lighter in the protocol period, 76% of morning scores at minus 2 or lighter against 64%, which matters because a lighter sedation order set began the day before the protocol.

How are missing values handled?

They are reported where they occur, with separate denominators for the severity score, and blank mobility levels stay in the denominator rather than being filled from other notes.