AP

WEEK 2 RANDOMISED CONTROL TRIAL (RCT)

Introduction to Randomised Controlled Trials (RCTs)
  • Purpose: Understanding the framework and applicability of RCTs in health sciences.

Learning Outcomes
  • Key objectives of the topic include:

    • Understanding the concept of RCTs.

    • Distinguishing between random (probability) and non-random (non-probability) sampling.

    • Identifying sampling methods in RCTs.

    • Analyzing published RCTs for comprehension.

    • Understanding power calculations and their role in RCTs' validity.

Analyzing a Published RCT: Song & Lindquist (2015)
  • Study Reference: Song, Y., & Lindquist, R. (2015). Effects of mindfulness-based stress reduction on depression, anxiety, stress and mindfulness in Korean nursing students.

  • Key Sections to Review:

    • Abstract

    • Background

    • Methods (Design and Sample)

Research Investigation Using RCT Framework
  • Study Aims:

    • Evaluate if a randomized controlled trial is appropriate for the research objective.

    • Identify applicable acronyms (PICO, PECO, PICo) for formulating research questions.

  • Sample Evaluation:

    • Determine target population and recruited sample.

    • Compare participant profiles to a hypothetical subject (e.g., Yana).

Study Design and Sampling Methods
  • Inclusion and Exclusion Criteria:

    • Identify criteria defining participant selection.

  • Sampling Methods:

    • Assess if the method is random (probability) or non-random (non-probability).

    • Specify the chosen sampling method.

Flowchart for Study Implementation
  • Create a flowchart illustrating:

    • Recruitment process

    • Group Allocation

    • Pre and Post-Intervention assessments

    • Measurements and Analysis

    • Participant dropout tracking

Power Calculation and Trustworthiness
  • Calculating Sample Size:

    • Establish the minimum number of participants necessary to detect effects.

  • Attrition Impact:

    • Analyze dropout rates and their consequences on study's statistical power.

    • Note dropout impact on drawing conclusions about the intervention's effectiveness (Type II error).

Evaluation of Internal Validity
  • Analyze whether participant retention impacted statistical findings:

    • Target group size should ideally allow for sufficient power; attrition may suggest underpowered study.

Summary of Key Learning Points
  • Understanding and analyzing RCTs are crucial for evidencing health interventions.

  • Distinction between random and non-random sampling leads to better comprehension of study implications.

  • The importance of power calculations in maintaining study credibility and reliability.

Actions Post-Class
  • Review and summarize learned materials against the learning objectives.

  • Complete review questions based on the referenced study.

  • Draft assessments covering:

    • Study aims

    • PICO formulation

    • Inclusion/exclusion criteria analysis

    • Power calculations and participant details.

    • Randomization protocols and blinding methods

    • Data collection techniques and outcome measures

    • Statistical analysis plan and interpretation of results.