Comprehensive Notes on Nursing Research

Core Definitions and Nature of Research

  • General Definitions of Research
    • “Methodic examination to resolve questions.”
    • “Contributes to the development and refinement of theory.”
    • “Systematic inquiry to solve problems.”
    • “Scientific process that validates and refines existing and generates new knowledge.”
    • “Produces unbiased, trustworthy answers …”
    • “Testing of knowledge to guide nursing practice.”
  • Key Characteristics of Research
    • Orderly & systematic: conducted in an ordered sequence.
    • Control: identify & eliminate constraints for precision and validity.
    • Empirical: data are objective, precise, verifiable, replicable.
    • Generalization: findings are applicable to the wider population.
    • Intensive: employs in-depth methodology to close loopholes.

Nursing Research: Primary Focus

  • Centers on patients, health problems, and nursing practice.
  • Investigates clinical problems, illnesses, and care practices to improve health outcomes.
  • Typical guiding questions:
    • What can nurses do to enable faster patient recovery?
    • Which techniques reduce stress among terminally ill patients?
    • How can nurses improve the nutrition of elderly patients?
  • Broader umbrella: also studies the nurse as a professional (education, work life, leadership, performance, job satisfaction, etc.).

Illustrative Research Titles & Their Utility

  • "An exploratory study of mothering for teens with ADHD children"
    ⇒ Helps nurses give tailored education & emotional support.
  • "Development of a nursometric instrument to measure diet change in women in their 40s"
    ⇒ Tool promotes healthier mid-life diets, lowers diabetes/cardiac risk.
  • "Disengagement behaviors of adult children toward their elderly parents"
    ⇒ Guides interventions against loneliness & abandonment in the elderly.
  • "Job satisfaction of Filipino nurses in Australia"
    ⇒ Data empower organizations to create better OFW support systems.
  • "Performance of nursing graduates from Manila and other regions in the licensure exams (2020–204)"
    ⇒ Reveals educational strategies that work best.
  • "Leadership and management styles of nurse leaders in Metro Manila hospitals"
    ⇒ Links leadership quality with staff performance & patient care.

Goals of Nursing Research

  • Improve efficiency and effectiveness of care.
  • Show nursing’s value to society.
  • Discover the best health-care methods.
  • Deliver quality care consistently.
  • Overarching purpose: advance nursing science and enhance real-life practice through evidence.

Specific Purposes of Nursing Research

  • Identification
    • Rapidly detect causes of problems.
    • Example: Why do patients develop pressure ulcers?
  • Description
    • Detail phenomena; explore relationships among variables.
    • Example: Describe link between nurse-to-patient ratio and patient falls.
  • Exploration
    • Answer “what” questions; become familiar with phenomena.
    • Example: What do new nurses feel in the ER?
  • Explanation
    • Clarify “why” events occur.
    • Example: Why do patients skip medications?
  • Prediction & Control
    • Prediction: project future events.
      • Example: Nurses working 16-hour shifts are likelier to err.
    • Control: implement barriers to reduce adverse outcomes.
      • Example: Limit shifts to 8 hours → fewer errors & safer care.

Major Classifications of Nursing Research

A. By Experimental Approach

  • Experimental
    • Manipulates an independent variable; seeks cause-and-effect; uses randomization & control.
    • Examples:
      • New wound dressing vs. standard dressing → compare healing rates.
      • Randomly assign students to mobile-app vs. printed modules; compare exam scores.
  • Non-experimental
    • No manipulation; observes or surveys existing situations.
    • Examples: Survey nurses’ stress on day vs. night shifts; observe call-bell frequency at night.
  • Quasi-experimental
    • Tests cause-and-effect without full randomization; relies on pre-existing groups.
    • Examples: Fall-prevention program in Ward A vs. standard care in Ward B; compare two intact classes (video simulation vs. lectures).
  • Combined / Mixed-method / Triangulation (when referring to approach)
    • Blends experimental & non-experimental features to offset limitations.

B. By Measurement & Data-Analysis Paradigm

  • Quantitative
    • Deals in numbers, measurable variables, statistics.
    • Goals: quantify, identify patterns/differences.
    • Examples: Measure BP of 50 patients pre- & post- low-sodium diet; survey 200 students’ sleep hours.
  • Qualitative
    • Captures thoughts, feelings, meanings via words.
    • Goals: depth, context, subjective understanding.
    • Examples: Interview students about first duty emotions; focus group on chronic-illness coping.
  • Combined (Mixed Methods)
    • Integrates numerical data & narratives in one study for complementary insight.
    • Example: Use anxiety questionnaire (quant) + interviews (qual) with same students.
  • Contrast Table (Qual vs. Quant)
    • Focus: exploring ideas vs. testing hypotheses.
    • Analysis: categorizing/interpretation vs. math/stats.
    • Output: words vs. numbers/graphs.
    • Sample size: few vs. many.
    • Question type: open-ended vs. closed-ended.
    • Attributes: context & subjectivity vs. objectivity & replicability.

C. By Time Frame (When Data Are Collected)

  • Longitudinal / Prospective (future)
    • Follows same participants over months/years.
    • Examples: Track diabetic patients’ glucose monthly for 1 year; follow nursing students 1^{st}–4^{th} year.
  • Cross-sectional (present snapshot)
    • Data collected at one point; no follow-up.
    • Examples: Survey nurses’ job satisfaction this month; assess stress during finals week.
  • Retrospective (past)
    • Looks backward via existing records or recall.
    • Examples: Review 2020–2023 readmission causes; analyze past 5-year medication-error reports.

D. By Motive / Objective

  • Basic (Pure/Theoretical)
    • Generates knowledge, builds theories; not immediately applied.
    • Examples: How stress affects memory retention in nurses; how professional identity forms over time.
  • Applied
    • Solves practical problems using existing theory.
    • Examples: Test stress-relief program to reduce burnout; evaluate education module on medication compliance.
  • Historical
    • Explores past events/trends to inform the future.
    • Examples: Roles of nurses during the COVID-19 pandemic; nursing education reforms 1970–2020.

E. By Research Environment

  • Field Research (Community)
    • Conducted in real-world community settings.
    • Examples: Observe hygiene in rural barangay households; door-to-door dengue-awareness survey.
  • Laboratory Research (Demonstration)
    • Performed in controlled lab/simulation environments.
    • Examples: Compare antiseptic solutions in Petri dishes; test IV-insertion accuracy on mannequins.
  • Clinical Research (Related Learning Experience)
    • Undertaken in actual clinical settings with real patients.
    • Examples: New wound dressing in post-op ward; hourly rounding effect on falls.

Crafting an Effective Research Title

  • Keep concise: ≤ 12 words if possible.
  • Comprehensible & specific to paper contents.
  • Avoid abbreviations, formulas, jargon.
  • Exclude verbs & low-impact/filler words.
  • State the subject, not the results.
  • Follow target journal’s style guidelines.

Sample Well-Formed Titles

  1. "Impact of Online Learning on the Academic Performance of Nursing Students During the COVID-19 Pandemic"
  2. "Relationship Between Sleep Quality and Clinical Performance of Third-Year Nursing Students in Clinical Settings"
  3. "Coping Strategies and Anxiety Levels of Nursing Interns During Hospital-Based Clinical Rotations"

Ethical, Philosophical & Practical Implications

  • Upholding evidence-based practice ensures ethical duty of non-maleficence (avoid harm) and beneficence (promote good).
  • Demonstrates nursing’s societal value, supporting advocacy for resources, staffing, and policy.
  • Systematic inquiry combats anecdotal decision-making, leading to fairer, more equitable care.
  • Emphasis on mixed methods reflects respect for both objective outcomes and subjective patient experiences.

Connections to Foundational Principles & Previous Lectures

  • Rooted in scientific method: observation, hypothesis, testing, analysis.
  • Aligns with professional standards such as ANA Code of Ethics & local licensure requirements (e.g., Philippine Board of Nursing research competencies).
  • Supports continuous quality improvement (CQI) frameworks discussed in earlier coursework.

Numerical & Statistical References (Embedded Examples)

  • Shift length examples: 16-hour vs. 8-hour.
  • Sample sizes: 50 patients, 200 students.
  • Time spans: 1-year longitudinal follow-up, 5-year incident analysis, reform period 1970–2020.
  • Word-limit guideline for titles: ≤ 12 words.

Practical Takeaways for Exam & Practice

  • Be able to match a research scenario to its classification (experimental, qualitative, longitudinal, etc.).
  • Remember the five major purposes (identification, description, exploration, explanation, prediction/control).
  • Cite examples accurately to demonstrate understanding.
  • When drafting titles, apply the 12-word, no-verb rule and state the subject not the outcome.
  • Recognize that mixed-method designs harness strengths of both paradigms, boosting reliability (quant) and depth (qual).