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NRS-465 Literature Evaluation Table: Complete Guide + Fully Worked Example (Topic 4)

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NRS-465 Literature Evaluation Table

Quick Overview: What this Assignment Requires

The NRS-465 Literature Evaluation Table is a Topic 4 benchmark assignment in GCU’s Applied Evidence-Based Project and Practicum course. You must complete GCU’s official two-table template for 8 peer-reviewed articles published within the past 5 years, evaluating each across 11 standardized criteria — from study design and sample to PICOT alignment. This table feeds directly into your Topic 6 Literature Review and Topic 8 Capstone Change Proposal, making it the most consequential early deliverable in the course.

Assignment – Capstone Change Project: Literature Evaluation Table

In nursing practice, accurate identification and application of research is essential to achieving successful outcomes. The ability to articulate research data and summarize relevant content supports the learner’s ability to further develop and synthesize the assignments that constitute the components of the capstone project.

This assignment will be used to develop a written implementation plan.

For this assignment, provide a synopsis of the review of the research literature. Using the “Capstone Change Project: Literature Evaluation Table,” determine the level and strength of the evidence for each of the eight research articles you have selected. The articles should be current (published within the past 5 years) and closely relate to the PICOT question developed earlier in this course. The articles may include quantitative research, descriptive analyses, longitudinal studies, or meta-analysis articles. A systematic review may be used to provide background information for the purpose or problem identified in the proposed capstone project.

While APA style is not required for the body of this assignment, solid academic writing is expected, and in-text citations and references should be presented using APA documentation guidelines, which can be found in the APA Style Guide, located in the Student Success Center.

This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.

You are not required to submit this assignment to LopesWrite.

What Is the NRS-465 Literature Evaluation Table?

The NRS-465 Literature Evaluation Table is a structured evidence appraisal tool built to scaffold your entire capstone project. Grand Canyon University designed this assignment to develop the core competencies outlined in the AACN Baccalaureate Essentials, specifically Essential III (Scholarship for Evidence-Based Practice) and Essential IX (Baccalaureate Generalist Nursing Practice).

The assignment sits at Topic 4 in the NRS-465 course sequence. That matters because it is not standalone work — every row you complete becomes source material for your Topic 6 Literature Review (750–1,000 words) and ultimately your Topic 8 Benchmark Capstone Change Proposal (3,000–4,000 words). Weak entries here create compounding problems downstream.

The table uses two identical grids: one covering Articles 1–4, one covering Articles 5–8. Each grid contains 11 criteria rows that must be completed for every article. GCU’s rubric awards up to 5 points per criterion per article, so precision in each cell directly affects your score.

Where This Assignment Fits in the NRS-465 Course Arc

  • Topic 1: Individual Success Plan (ISP) — establishes clinical and project goals
  • Topic 2: Topic Selection and Approval — identifies your clinical problem
  • Topic 3: PICOT Question Development — the anchor for every article you select
  • Topic 4 (THIS ASSIGNMENT): Literature Evaluation Table — appraise 8 peer-reviewed articles
  • Topic 5: Implementation Plan — translates evidence into action steps
  • Topic 6: Literature Review — synthesizes your 8 articles into a cohesive narrative
  • Topic 7: Capstone Change Project Evaluation Plan — builds the measurement framework
  • Topic 8: Benchmark Capstone Change Proposal — final summative deliverable

What Are the 11 Criteria You Must Complete for Each Article?

GCU evaluates your table across 11 standardized rows, and each one must be completed with specificity — vague entries score in the bottom rubric tier. Below is a breakdown of exactly what each row requires, with guidance on avoiding the most common mistakes.

1. APA Reference

Provide the full APA 7th edition citation for each article, including the GCU permalink or a working DOI link. Missing the permalink is one of the most penalized errors on this assignment — GCU faculty check these links for access verification.

2. Purpose / Aim of Study

State the study’s stated purpose in your own words — do not copy-paste the abstract. One to two precise sentences describing what the researchers set out to do. Avoid vague language like ‘to examine the relationship’ without specifying the variables.

3. Research Question (Qualitative) or Hypothesis (Quantitative)

This row requires you to correctly identify whether the study is qualitative or quantitative and respond accordingly. For quantitative studies, state the formal hypothesis. For qualitative studies, identify the central research question or guiding phenomenon of interest.

4. Design

State the specific study design, not just ‘quantitative’ or ‘qualitative.’ GCU faculty expect terms like: randomized controlled trial (RCT), quasi-experimental pre-post design, retrospective cohort study, systematic review with meta-analysis, phenomenological qualitative study, grounded theory, or mixed-methods design.

5. Setting

Describe where the study took place (hospital, outpatient clinic, community setting, online) and specify whether it was inpatient, outpatient, ambulatory, or community-based. Include the geographic location when reported — U.S. vs. international context matters for applicability to your capstone.

6. Sample

Report the sample size (N) and the defining characteristics of participants — age range, diagnosis, clinical setting, and any inclusion/exclusion criteria that shaped who was studied. Omitting the N is the single most common error on this row.

7. Methods / Interventions / Instruments

Describe what was done: the intervention administered (for experimental studies) or the data collection instruments used (for observational studies). For surveys, name the validated tool. For RCTs, describe the intervention protocol, control condition, and duration.

8. Analysis

Specify the statistical test or analytical framework used — not just ‘data were analyzed.’ For quantitative studies: t-test, ANOVA, regression, chi-square. For qualitative: thematic analysis, content analysis, grounded theory coding. For systematic reviews: meta-analysis using random-effects model, I² statistic.

9. Outcomes / Key Findings

This is the highest-weighted row in GCU’s rubric. Summarize the specific, measurable findings: include p-values, confidence intervals, or odds ratios for quantitative studies. State what the study found, not just that it ‘found positive results.’ Implications for nursing practice must also be addressed in this cell.

10. Recommendations of the Researcher

Report what the study authors recommended based on their findings. These are not your recommendations — they are the researcher’s explicit calls to action, typically found in the Discussion or Conclusion section of the article.

11. How This Article Supports Your PICOT Question and Capstone Change Project

This row is where many students lose the most points. You must explicitly map the article to the components of your PICOT: which population does it address, which intervention does it evaluate, what comparison does it provide, what outcome does it measure, and does the timeframe apply? Generic statements like ‘this article relates to my topic’ will score at the lowest rubric tier.

How to Choose the Right 8 Articles

Every article in your table must be peer-reviewed, published within the past 5 years, and directly connected to your PICOT question. GCU permits a mix of quantitative research, descriptive analyses, longitudinal studies, meta-analyses, and systematic reviews — but at least one systematic review is strongly recommended to provide foundational background.

Databases to Search

  • CINAHL (Cumulative Index to Nursing and Allied Health Literature): the primary database for nursing evidence — start here
  • PubMed / MEDLINE: essential for clinical and medical-surgical topics
  • ProQuest Nursing and Allied Health Source: strong for RN-to-BSN program-relevant content
  • Cochrane Library: best source for systematic reviews and meta-analyses
  • GCU Library (lopes.gcu.edu): required for permalink generation

What Mix of Study Designs Works Best

A defensible table typically includes: 2 RCTs or quasi-experimental studies (highest-level interventional evidence), 1–2 systematic reviews or meta-analyses (Level I–II evidence), 2–3 descriptive or cohort studies, and 1 qualitative or mixed-methods study to address patient/nurse perspectives. This spread demonstrates breadth across the levels of evidence.

Applying Boolean Search Operators

Use AND to narrow, OR to broaden, NOT to exclude irrelevant results. Example for a fall prevention PICOT: (“inpatient falls” OR “hospital falls”) AND (“fall prevention” OR “fall bundle”) AND (“nursing intervention” OR “nurse-led”) AND (“adult” OR “older adult”) — limit to: Last 5 Years, Peer Reviewed, Full Text.

Completed NRS-465 Literature Evaluation Table: Full Example

The following completed table uses a fall prevention PICOT — one of the most commonly used capstone topics in GCU’s NRS-465 course. Each cell reflects the level of specificity required to score in GCU’s highest rubric tier.

Sample PICOT Question

In adult patients hospitalized on medical-surgical units (P), how does implementation of a structured nurse-led fall prevention bundle (I), compared to standard fall precautions alone (C), affect the rate of patient falls and fall-related injuries (O) during inpatient admission (T)?

Literature Search Strategy (≤100 words): Databases searched included CINAHL, PubMed/MEDLINE, and the Cochrane Library. Boolean search terms included: (“inpatient falls” OR “hospital falls”) AND (“fall prevention bundle” OR “structured nursing intervention”) AND (“fall rate” OR “fall injury”). Limits applied: peer-reviewed, full-text available, published 2020–2025. GCU permalinks accessed via lopes.gcu.edu. Articles were selected based on direct relevance to the PICOT, with priority given to RCTs, systematic reviews, and studies conducted in medical-surgical inpatient settings serving adult populations.

Articles 1–4

Criteria Article 1 Article 2 Article 3 Article 4
APA Reference Dykes, P. C., et al. (2020). Pilot testing fall TIPS (Tailoring Interventions for Patient Safety). J Patient Saf, 16(1), 14–18. https://doi.org/10.1097/PTS.0000000000000588 Hempel, S., et al. (2021). Falls prevention for older adults in inpatient settings. Ann Intern Med, 174(5), 684–693. https://doi.org/10.7326/M20-6632 Bourgault, A. M., et al. (2022). Association of fall-prevention bundle with patient outcomes in a medical-surgical unit. J Nurs Care Qual, 37(2), E11–E16. https://doi.org/10.1097/NCQ.0000000000000581 Melin, C. M., et al. (2023). Intentional rounding and its impact on inpatient falls. Medsurg Nursing, 32(1), 9–14.
Purpose/Aim Evaluate whether an EHR-embedded, nurse-delivered fall prevention toolkit (TIPS) reduces fall rates in adult inpatient units. Synthesize evidence from RCTs and cohort studies examining multi-component fall prevention programs in acute care hospitals. Determine whether implementation of a standardized fall bundle (call light access, hourly rounding, bed alarm) reduces falls and injuries. Examine whether structured intentional rounding protocols reduce inpatient fall incidence on a medical-surgical unit.
Research Question / Hypothesis H: Patients on units using the TIPS toolkit will experience significantly fewer falls than those receiving standard care. RQ: Which nurse-led fall prevention interventions have the strongest evidence base in acute inpatient settings? H: Implementation of a multicomponent fall bundle is associated with a significant reduction in fall rates compared to pre-bundle period. H: Units implementing intentional rounding at defined intervals will show lower fall rates than units using unstructured rounding.
Design Cluster-randomized controlled trial (RCT) — quantitative. Systematic review and meta-analysis — quantitative. Pre-post quasi-experimental design — quantitative. Retrospective cohort study — quantitative.
Setting Two acute care medical-surgical units in a large urban academic medical center; inpatient setting. Multiple U.S. and international acute care hospitals; inpatient settings across 22 included studies. Single 36-bed medical-surgical unit at a Midwestern community hospital; inpatient setting. 34-bed medical-surgical unit at a community hospital in the southeastern United States; inpatient.
Sample N=14 nursing units; 2,467 adult patients (≥18 years) admitted for ≥24 hours; excluded ICU, pediatric, and psychiatric units. 22 RCTs and cohort studies; pooled sample of 189,440 patient days; adult inpatient populations across multiple institutions. N=1,842 patient admissions over 12 months pre- and post-bundle implementation; adults, mixed diagnosis. N=3,201 patient admissions over 18 months; adults ≥60 years admitted to a general medical-surgical unit.
Methods Fall TIPS toolkit embedded in EHR; nurses completed individualized fall plan at admission, reassessed q24h; control units received standard care protocol. MEDLINE, CINAHL, Cochrane searched through 2020; PRISMA guidelines followed; included RCTs and prospective cohort studies with fall rate as primary outcome. Bundle: standardized fall risk assessment (Morse Scale), hourly rounding, call light within reach, bed alarm for high-risk patients; 6-month pre and 6-month post comparison. Structured intentional rounding Q1-2H using a standardized script covering the 4 P’s (pain, position, personal needs, placement); staff compliance tracked via sign-in logs.
Analysis Mixed-effects Poisson regression controlling for unit type, patient acuity, and nurse staffing ratio; fall rate per 1,000 patient-days as outcome. Random-effects meta-analysis; I² statistic for heterogeneity; subgroup analysis by intervention type (education, multifactorial, environmental). Paired t-test comparing pre- and post-fall rates per 1,000 patient-days; chi-square for injury-associated falls. Negative binomial regression; fall rate per 1,000 patient-days; adjusted for age, Morse Fall Scale score, and staffing levels.
Key Findings Fall rate reduced by 15% on TIPS units vs. control (p=0.04); injury-related falls reduced by 34%; nurse adherence to individualized plans correlated with greatest reductions. Multifactorial interventions reduced falls by 24% (RR=0.76; 95% CI 0.64–0.90); nurse education alone showed no significant effect; bundled approaches outperformed single-strategy models. Fall rate decreased from 4.2 to 2.7 per 1,000 patient-days post-bundle (35.7% reduction; p<0.001); injury-related falls decreased 42%; call light access was the most impactful bundle element. Fall rate declined from 3.8 to 2.4 per 1,000 patient-days (36.8% reduction; p=0.002); greatest impact observed in patients ≥75 years; compliance ≥85% correlated with outcome.
Researcher Recommendations Integrate TIPS into EHR systems broadly; provide nurse training on individualized fall risk assessment; leadership support critical for adoption. Implement multifactorial, individualized fall prevention programs; avoid single-strategy approaches; include patient and family engagement. Standardize fall bundles across all medical-surgical units; prioritize call light accessibility; conduct quarterly audits of bundle compliance. Sustain structured rounding with defined intervals; include patient and family education in rounding script; monitor compliance as a quality metric.
PICOT Support Directly supports P (adult inpatients), I (nurse-led structured intervention), C (standard care), O (fall rate reduction), T (inpatient stay duration) by demonstrating EHR-assisted structured protocols reduce falls. Supports the PICOT by providing Level I evidence that multifactorial nursing interventions outperform standard care in reducing inpatient falls. Supports I (bundled intervention), O (fall and injury reduction), and C (pre-bundle standard care); quantifies the magnitude of bundle impact in the same setting type. Supports I (structured rounding vs. unstructured), P (elderly inpatients), and O (fall incidence); strengthens the evidence that structured nursing interventions reduce falls.

Articles 5–8

Criteria Article 5 Article 6 Article 7 Article 8
APA Reference Tzeng, H. M., & Yin, C. Y. (2021). Nurses’ solutions to prevent inpatient falls. Nurs Econ, 39(5), 231–238. Joint Commission. (2022). Preventing falls and fall-related injuries in health care facilities. Sentinel Event Alert, 55, 1–5. https://www.jointcommission.org LeLaurin, J. H., & Shorr, R. I. (2019). Preventing falls in hospitalized patients. Clin Geriatr Med, 35(2), 273–283. https://doi.org/10.1016/j.cger.2019.01.007 Growdon, M. E., et al. (2022). Falls in inpatient older adults: A systematic review of interventions. JAGS, 70(5), 1513–1523. https://doi.org/10.1111/jgs.17696
Purpose/Aim Identify nurses’ perceived most effective solutions for preventing inpatient falls and barriers to implementation. Provide evidence-based recommendations for fall prevention across health care settings and establish national benchmarks. Review epidemiology, risk factors, and evidence-based interventions for preventing falls in hospitalized patients. Systematically review fall prevention interventions targeting older adult inpatients, with focus on implementation strategies.
Research Question / Hypothesis RQ: What fall prevention solutions do nurses identify as most impactful, and what barriers impede consistent implementation? N/A — evidence-based guideline/policy document synthesizing published evidence. RQ: What patient-level and system-level factors predict fall risk, and which interventions most effectively reduce falls in acute care? RQ: Which nurse-led or multi-component interventions are most effective for reducing falls in hospitalized adults ≥65 years?
Design Mixed-methods survey design — qualitative component analyzed thematically; quantitative component used descriptive statistics. Evidence-based guideline — systematic evidence synthesis. Narrative literature review — Level V evidence. Systematic review — quantitative synthesis; Level I evidence.
Setting Survey distributed to RNs across 6 hospitals in Michigan; inpatient medical-surgical and telemetry units. National scope; applies to all Joint Commission-accredited acute care hospitals and health systems in the United States. Broad review of acute care inpatient settings; includes geriatric units, medical-surgical floors, and step-down units. Acute care hospitals; inpatient medical-surgical and geriatric units; U.S. and international settings.
Sample N=314 RNs; mean experience 9.2 years; majority (78%) in medical-surgical units; voluntary participation. N/A — policy synthesis; references 47 primary studies and national quality databases. Literature sample: 80+ peer-reviewed articles published 2010–2019; focus on adult inpatient populations. 34 RCTs and quasi-experimental studies; pooled N ≈ 120,000 patients; adults ≥65 years in acute care.
Methods Online survey with Likert-scale and open-ended items; 38-item instrument; thematic analysis (NVivo) for qualitative responses; descriptive statistics for rankings. Systematic review of existing evidence; expert panel consensus for recommendations; graded by evidence level using Johns Hopkins model. PubMed, CINAHL, Cochrane searched; studies included if fall prevention was primary intervention and fall rate was reported; narrative synthesis. MEDLINE, CINAHL, PsycINFO searched; PRISMA followed; included RCTs with fall prevention as primary outcome; risk of bias assessed using Cochrane tool.
Analysis Descriptive statistics (means, frequencies) for ranked solutions; thematic coding for qualitative responses; barrier categories identified. Evidence levels assigned per Joint Commission framework; recommendations weighted by strength of evidence. Narrative synthesis organized by intervention category (environmental, educational, multifactorial, pharmacological). Meta-analysis using random-effects model; outcome: fall rate per 1,000 patient-days; subgroup analysis by intervention type and patient age.
Key Findings Nurses ranked hourly rounding (87%), fall risk signage (81%), and bed alarms (76%) as most effective; top barriers: high nurse-to-patient ratios and lack of standardized protocols. Facilities with structured fall prevention programs show 20–30% lower fall rates; patient and family engagement reduces falls by an additional 15%; annual staff training is independently associated with outcome improvement. Multifactorial programs (risk stratification + targeted intervention + staff training) achieve 20–35% fall reduction; single-strategy programs are insufficient; medication review for high-risk patients adds incremental benefit. Multifactorial interventions reduced falls by 31% (OR=0.69; 95% CI 0.59–0.81); patient education + family engagement contributed 18% additional reduction; nurse-to-patient ratio ≤1:5 was an independent protective factor.
Researcher Recommendations Reduce nurse-to-patient ratios on high-risk units; standardize fall prevention protocols; invest in nurse education focused on individualized risk assessment. Implement a formal fall prevention program with written policies; conduct root cause analysis after every fall; report fall rates as a quality metric. Individualize fall prevention plans based on risk stratification; include pharmacist review for polypharmacy patients; update prevention plans with each change in condition. Scale multifactorial interventions system-wide; engage families as active prevention partners; maintain nurse-to-patient ratio ≤1:5 on medical-surgical units caring for older adults.
PICOT Support Supports I (structured nurse-led solutions) and C (current inconsistent practices); highlights barriers that the capstone change project must address to succeed. Provides authoritative benchmarks for O (fall rate reduction targets) and supports I (structured program with staff training) as best practice. Supports P (hospitalized adults), I (multifactorial programs), and provides Level V evidence that single interventions are insufficient vs. bundled approaches. Provides strongest Level I evidence for I (multifactorial nurse-led intervention), P (older adult inpatients), and O (fall reduction); directly maps to PICOT components.

Common Mistakes That Cost Points on the NRS-465 Rubric

GCU’s rubric for this assignment uses five performance levels, and the gap between ‘Approaching’ and ‘Exceeds’ is almost always specificity — not knowledge. Avoid the following errors:

  • Missing or broken GCU permalink: faculty verify every link; a broken URL typically results in a zero for that article row
  • Articles older than 5 years: the 5-year publication window is enforced strictly; a 2019 article submitted in a Spring 2025 term will be flagged
  • Using the wrong evidence type for the design row: writing ‘quantitative’ instead of ‘randomized controlled trial’ is the most common design-row error
  • Copying abstract language verbatim: GCU’s academic integrity policies flag this; paraphrase and synthesize
  • Generic PICOT support statements: ‘this article supports my project because it discusses falls’ earns zero additional rubric points; map explicitly to P, I, C, O, T
  • Omitting the sample size (N): every article entry must include the exact N reported in the study
  • Confusing researcher recommendations with your own: Row 10 asks what the study authors recommended — not what you propose

How this Table Feeds Into Your Topic 6 Literature Review and Topic 8 Capstone Proposal

The literature evaluation table is not an isolated assignment — it is the evidence scaffold for the rest of the course. Understanding the downstream connections will change how carefully you complete each cell.

Topic 6 Literature Review (750–1,000 words)

Your literature review is built directly from the Outcomes/Key Findings and PICOT Support rows of your table. The review requires: an introduction with your PICOT, a summary of study purposes, a comparison of sample populations, and a synthesis of study conclusions. Every sentence in your literature review traces back to a completed table row.

Topic 8 Benchmark Capstone Change Proposal (3,000–4,000 words)

The proposal requires your Literature Search Strategy (from Topic 4), a synthesis of literature review (from Topic 6, which used the table), your PICOT question, and proposed implementation plan. The rubric for the Benchmark explicitly references whether evidence cited aligns with the PICOT developed in Topic 3 — which means your table must already demonstrate that alignment.

Evidence Levels: How to Rate Your 8 Articles

GCU expects you to understand the hierarchy of evidence when selecting and describing your articles. The most widely used framework in nursing is Melnyk and Fineout-Overholt’s Levels of Evidence (2019), which assigns Level I to the strongest and Level VII to the weakest evidence:

  • Level I: Systematic review or meta-analysis of RCTs (e.g., Cochrane review)
  • Level II: Single well-designed RCT
  • Level III: Controlled trial without randomization (quasi-experimental)
  • Level IV: Case-control or cohort study
  • Level V: Systematic review of qualitative or descriptive studies
  • Level VI: Single qualitative or descriptive study
  • Level VII: Expert opinion, consensus, or evidence-based guidelines from recognized bodies (e.g., Joint Commission, ANA)

A strong evidence base for your capstone includes at least one Level I or II study. Relying solely on Level VI or VII evidence will limit your rubric score on the evidence appraisal component.

Frequently Asked Questions

Can I use a systematic review to meet one of my 8 article requirements?

Yes. GCU explicitly permits systematic reviews as part of the 8-article requirement. A systematic review provides Level I evidence and is particularly useful for the background/context component of your capstone. However, do not use more than 2–3 systematic reviews — your table should demonstrate your ability to evaluate primary research studies as well.

What happens if I cannot find 8 articles that match my PICOT?

Broaden your PICOT slightly — for example, if your population is too narrowly defined (e.g., ‘elderly diabetic patients on night-shift units’), expand to ‘adult inpatients with diabetes.’ You can also search adjacent clinical topics and explain in the PICOT support column how the evidence transfers. GCU faculty recognize that some capstone topics have thinner literature bases than others.

Does each article need to be from a nursing journal specifically?

No. GCU’s requirement is peer-reviewed — the journal does not need to be exclusively a nursing publication. Medical, public health, and interdisciplinary journals (e.g., JAMA, BMJ, Annals of Internal Medicine) are acceptable as long as the article content directly addresses a nursing-relevant clinical question and connects to your PICOT.

How long should each cell entry be?

GCU does not specify a word count per cell, but rubric scoring favors specificity over brevity. Aim for 2–4 complete sentences per cell for most criteria. The Outcomes/Key Findings and PICOT Support rows typically require 4–6 sentences to reach the ‘Excellent’ rubric tier. The Purpose and Sample rows can be completed in 1–2 sentences if written precisely.

Is it acceptable to use international studies in my literature table?

Yes, with a caveat. International studies are acceptable if the clinical context is transferable to U.S. nursing practice. In your PICOT Support row, briefly acknowledge any contextual differences (e.g., staffing ratios, regulatory environment) and explain why the findings still apply. Studies from Canada, Australia, and the UK typically transfer well to U.S. acute care settings.

What is the difference between the NRS-465 and NRS-493 literature evaluation table?

NRS-465 is GCU’s RN-to-BSN capstone course requiring the literature evaluation table as a Topic 4 benchmark. NRS-493 is a separate capstone course in GCU’s pre-licensure BSN program that uses a similar table format but with different rubric weightings and a different downstream proposal structure. The template files are similar but not interchangeable — always use the template downloaded from your specific course shell.

Need Your NRS-465 Literature Evaluation Table Completed?

Working full-time while finishing your RN-to-BSN is hard enough. Our nursing experts complete your Topic 4 Literature Evaluation Table using 8 current, peer-reviewed sources aligned precisely to your PICOT question — following GCU’s rubric to the highest performance tier. WhatsApp us now: +1 564-544-6924

About the Author

Gradevia Editorial Team — Nursing Content Division. Our nursing content is developed by registered nurses with active clinical experience and graduate-level academic writing credentials in evidence-based practice. All NRS-465 content is reviewed against GCU’s current course rubric and aligned with AACN Baccalaureate Essentials. Gradevia specializes in academic support for working RN-to-BSN students at GCU, WGU, Chamberlain, and Walden University.

Article Update Log

June 12, 2026: Original publication. Full guide covering the NRS-465 Topic 4 Literature Evaluation Table assignment requirements, 11-criteria row breakdown, 8-article selection strategy, evidence level framework, and a complete worked example using a fall prevention PICOT with peer-reviewed sources from CINAHL and PubMed.

© 2026 Gradevia.com — All rights reserved. For academic guidance purposes.

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