W9 Literature Searching/Critiquing and Bias

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Last updated 6:11 PM on 7/9/26
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15 Terms

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Literature search supports EBVN

  • Allow VNs to move beyond assumptions

  • Ensure clinical decisions made on best evidence

  • Support professional accountability

  • Underpinning academic work

  • Identifying gaps in knowledge/evidence

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PICO

Population - Who being affected? Symptoms, age, gender

Intervention - What is being done? Screening, surgery, service

Comparison - Control group or comparison e.g. different treatment option

Outcome - What to achieve via study? What hope to change/measure

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Efficient literature searching

Database selection (VetMed, Science direct enhance evidence retrieval from varied disciplines)

Iterative search strategy (repeated test/refining keywords, filters to optimize relevance of results)

Search documentation importance (Documenting databases, search strings, limits, results enhances transparency, replicability and academic integrity)

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Literature Critiquing

Structured, consistent way to decide if and how to use piece of research

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Hierarchy of evidence

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Reliability and Validity

Small sample size - reduced reliability

Poor measurement tools - reduced validity

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Frameworks for Critiquing Research EBVN

  • Improves consistency

  • Enhances validity of decisions

  • Identifies methodical flaws and identification of bias

  • Promotes critical thinking

  • Improves transparency and justification

  • Links evidence to practice

  • Improves confidence in decision making

  • Enable comparison between studies

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CASP

Critical Appraisal Skills Programme

Critical appraisal tool that provides structured framework for assessing quality and validity of research studies

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Caldwell & Henshaw (Caldwell et al. framework)

Flexible narrative critique framework, encourages deeper analysis and discussion

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CASP strengths/limitations

Strengths

  • Structured approach

    Improves critical thinking

    User friendly

    Versatile

    Promote consistency

    Widely recognised

Limitations

  • Subjective interpretation

  • Superficial use

  • No clear score

  • Focus on methodology

  • Prior knowledge/training

  • Time consuming

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CASP vs Caldwell et al.

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Types of Bias

Selection, sampling, recall, measurement, observer, confirmation, publication, reporting, attrition, confounding, performance, detection, design, funding

Ways bias can affect findings:

  • Over/underestimate effect

  • Produces misleading results

  • Limits generalisability

  • Reduces reliability (consistency)

  • Reduces validity (accuracy)

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Bias table

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Bias table 2

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PRISMA

Preferred Reporting items for Systematic Reviews and Meta-Analyses

To improve transparency, clarity and completeness of systematic reviews and meta-analyses

<p>Preferred Reporting items for Systematic Reviews and Meta-Analyses</p><p>To improve transparency, clarity and completeness of systematic reviews and meta-analyses</p><p></p>