NURS 6227 Week 3 Evidence Appraisal Example

Course	NURS 6227 Current Issues in Health Policy
Week	Week 3
Paper type	Evidence appraisal
Length	About 660 words, 5 pages
Format	APA 7 student paper
School	Walden University
Program	Master of Science in Nursing (MSN)
Updated	October 2026

Free sample paper for NURS 6227 Week 3

Evidence Appraisal: What the Research Says About Nurse Staffing Levels, Ratio Mandates and Staffing Committees

Student Name

College of Nursing, Walden University

NURS 6227: Current Issues in Health Policy

Instructor Name

Month Day, Year

What this page is doingThree bodies of evidence, appraised before any side is taken, because they answer different questions.

Evidence Appraisal: What the Research Says About Nurse Staffing Levels, Ratio Mandates and Staffing Committees

This appraisal sorts the research relevant to the committee question, whether to set a statutory minimum ratio for adult medical-surgical units, into three bodies: observational studies linking nurse workloads to patient outcomes, studies of the one state with a long-standing statewide ratio mandate, and studies of staffing committee laws. Each is rated using the Johns Hopkins evidence levels and quality ratings (Dang et al., 2022).

Table 1

Appraisal of Three Bodies of Evidence

Body and example studies	Design	Level	Quality	Main finding	Limits
Workload and outcomes (Aiken et al., 2002, 2010)	Large cross-sectional studies linking nurse surveys, hospital data and patient outcomes across many hospitals	III	A	Each additional patient per nurse associated with higher surgical mortality and failure to rescue, and with more nurse burnout; consistent across states, with a dose-response pattern	Observational; cannot rule out unmeasured hospital differences
Ratio mandate before and after (Mark et al., 2013; Cook et al., 2012)	Difference-in-differences comparisons of the mandate state with comparison states	II	B	Staffing rose as intended, especially where it had been lowest; effects on patient safety measures were mixed or not significant	Comparison states were also changing; patient safety indicators are imperfect outcome measures
Staffing committee laws (Jones et al., 2015; Han et al., 2021)	Trend analysis in one committee state; national difference-in-differences comparing legislative approaches	II to III	B	Committee laws were not associated with significant increases in nurse hours; the ratio state's hours rose	Few studies; committees vary widely in practice

What this page is doingEach row gives design, level, quality, finding and limits, so a reader can see why the conclusions below differ in strength.

Body 1: Workload and Outcomes

The research program associated with Linda Aiken and colleagues is large and consistent. In Pennsylvania, each additional surgical patient per nurse was associated with a 7% increase in the odds of death within 30 days and in failure to rescue, and with higher nurse burnout and job dissatisfaction (Aiken et al., 2002). A later three-state study found that California's lower workloads were associated with lower mortality, and that when nurses' workloads in other states matched California's ratios, outcomes were better there too (Aiken et al., 2010). The designs are observational, so causation cannot be proven, but the consistency and dose-response pattern give this body strong support for the claim that staffing affects outcomes.

Body 2: The Mandate State

Studies of the state that has mandated ratios since the early 2000s ask a different question: does a mandate change outcomes? The answers are less clear. Staffing increased significantly compared with other states, with the largest increases in hospitals that had been lowest; failure to rescue improved in some hospitals, but some infection measures worsened and other indicators did not change (Mark et al., 2013). Another analysis found that the mandate reduced patient-to-nurse ratios in hospitals that had not met the standard, but found no relative improvement in measured patient safety (Cook et al., 2012). These studies show the mandate worked as a staffing instrument; they do not show clearly that it improved patient outcomes as measured.

Body 3: Staffing Committees

Evidence on committee laws, the approach the composite state now uses, is thin. In Texas, where hospitals were required to have staffing committees, total nurse staffing rose less than national trends over the same period (Jones et al., 2015). A national comparison of legislative approaches found that the ratio mandate state increased registered nurse hours per patient day, while states that legislated staffing committees or public reporting saw no statistically significant change (Han et al., 2021).

Synthesis

Two conclusions follow. First, the evidence strongly supports the claim that nurse staffing affects patient outcomes. Second, the evidence more weakly supports a fixed statutory ratio as the best instrument for improving outcomes: a ratio reliably raises staffing, but measured outcome gains after the mandate were mixed. The committee approach, by contrast, has little evidence that it changes staffing at all. The appraisal therefore points toward a ratio as the more effective staffing instrument, while leaving honest uncertainty about the size of its effect on patients.

References

Aiken, L. H., Clarke, S. P., Sloane, D. M., Sochalski, J., & Silber, J. H. (2002). Hospital nurse staffing and patient mortality, nurse burnout, and job dissatisfaction. JAMA, 288(16), 1987-1993. https://doi.org/10.1001/jama.288.16.1987

Aiken, L. H., Sloane, D. M., Cimiotti, J. P., Clarke, S. P., Flynn, L., Seago, J. A., Spetz, J., & Smith, H. L. (2010). Implications of the California nurse staffing mandate for other states. Health Services Research, 45(4), 904-921. https://doi.org/10.1111/j.1475-6773.2010.01114.x

Cook, A., Gaynor, M., Stephens, M., Jr., & Taylor, L. (2012). The effect of a hospital nurse staffing mandate on patient health outcomes: Evidence from California's minimum staffing regulation. Journal of Health Economics, 31(2), 340-348. https://doi.org/10.1016/j.jhealeco.2012.01.005

Dang, D., Dearholt, S. L., Bissett, K., Ascenzi, J., & Whalen, M. (2022). Johns Hopkins evidence-based practice for nurses and healthcare professionals: Model and guidelines (4th ed.). Sigma Theta Tau International.

Han, X., Pittman, P., & Barnow, B. (2021). Alternative approaches to ensuring adequate nurse staffing. Medical Care, 59(Suppl. 5), S463-S470. https://doi.org/10.1097/MLR.0000000000001614

Jones, T., Bae, S. H., Murry, N., & Hamilton, P. (2015). Texas nurse staffing trends before and after mandated nurse staffing committees. Policy, Politics, & Nursing Practice, 16(3-4), 79-96. https://doi.org/10.1177/1527154415616254

Mark, B. A., Harless, D. W., Spetz, J., Reiter, K. L., & Pink, G. H. (2013). California's minimum nurse staffing legislation: Results from a natural experiment. Health Services Research, 48(2, Pt. 1), 435-454. https://doi.org/10.1111/j.1475-6773.2012.01465.x

The Walden NURS 6227 Week 3 instructions

Week 3 of NURS 6227 commonly asks for an appraisal of evidence on a policy question. You group studies, rate their strength and quality with a named model, weigh findings across groups and say how far the evidence reaches. Faculty score weighing, so a list of summaries with a conclusion attached loses points. Cite the studies and the appraisal model in APA 7. The Johns Hopkins model rates evidence by level and quality. Observational studies show association, not proof that a mandate causes better outcomes. Mixed findings should be reported plainly with possible reasons. A clear layout gives each body its own section, then a synthesis.

Inside the NURS 6227 Week 3 example

Six pages built around an appraisal table. The first body of evidence is the research program associated with Linda Aiken and colleagues: large observational studies across many hospitals linking heavier workloads for each nurse with more deaths and more failure to rescue. The table rates it nonexperimental but consistent, with a dose-response pattern. The second body studies the mandate state before and after ratios took effect; workloads changed as intended while patient outcome findings were mixed, and comparison states were changing too. The third, on staffing committee laws, is small and mostly descriptive. Each row gives design, level, quality rating, main finding in words and limits. A synthesis states two conclusions: strong support that staffing affects outcomes, weaker support that a fixed statutory ratio is the best instrument for improving it.

NURS 6227 Week 3 rubric: what earns full marks

An appraisal is scored on weighing, and the version that stumbles is an annotated bibliography with a conclusion attached. Most sections ask for evidence on both sides rated by a consistent method, which the table supplies and a narrative summary usually does not. The recurring analytic slip is transfer, using studies about staffing levels to prove claims about mandates, and graders familiar with this literature tend to catch it. Honesty about design earns credit: calling observational research causal overstates it, and dismissing it as mere correlation ignores its consistency. Currency is checked, so each study should carry its date and the appraisal should say whether newer work exists. The appraisal framework has to be applied, not merely cited. A synthesis that reaches a position before the position paper often costs credit for sequence.

Common NURS 6227 Week 3 mistakes, and how to avoid them

Evidence appraisals lose credit when they summarize studies one by one. Group and weigh them. Another common gap is overstating observational findings. Note what they cannot show. Writers also hide mixed results. Report them. Avoid rating evidence without naming the model. Name it. Include evidence on both sides of the question. A table with each body's level, quality and main finding lets a reader see the weighing at once. Close with the strength of the case for the committee question.

Get a NURS 6227 Week 3 example written to your instructions

Along with the Week 3 prompt and rubric, send the issue you narrowed and list any sources you already hold. A NURS 6227 evidence appraisal, rating table included, follows in 24 to 48 hours; a first request costs nothing. The mandate state and its studies are described generally here, with no findings invented for them.

More NURS 6227 papers and MSN samples

NURS 6227 Week 3 questions, answered

What is the Johns Hopkins evidence model?

The Johns Hopkins Nursing Evidence-Based Practice model rates each source by level, reflecting study design, and by quality, reflecting how well the study was conducted. The example applies those ratings to every row so that research is judged by one standard. GRADE and similar tools are fine substitutes where a section requires them; the point is applying one method consistently to both sides.

Why not treat the observational studies as proof that ratios work?

Because they show that patient load is associated with outcomes, not that a legal mandate improves them. A hospital could staff well without a ratio law, and a law could be met on paper while other conditions worsen. The example keeps those claims apart, rating the observational research as strong on its own question and silent on the mandate question your position will need.

How should mixed findings be reported?

As mixed, with the reasons. The example reports that studies of the mandate state found workload changes as intended while patient outcome results varied, and it notes that comparison states were changing at the same time, which complicates attribution. Rounding mixed findings up or down to suit a position is the move graders watch for, and your appraisal gains credibility by resisting it.

Where can I find a free NURS 6227 Week 3 sample paper?

The staffing evidence appraisal is printed here with three bodies of research, ratings with the Johns Hopkins model and the synthesis.

Which bodies of evidence does NURS 6227 Week 3 weigh?

Observational studies of workload and outcomes, studies of the one state with a ratio mandate, and studies of staffing committees.