NUR 342 FINAL QUESTIONS WITH
COMPLETE ANSWERS.
Sections of a research article - ANSWER: Abstract, introduction/background, methods,
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results (statistical analysis), discussion (interpretation of results, and conclusion)
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Systematic reviews on the evidence hiearchy - ANSWER: - Highest level of evidence
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- Integrates research evidence from multiple studies
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Purpose of systematic reviews - ANSWER: - Inform EBP
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- Summarize the current state of research
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- Avoid making conclusions based on single studies
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- Reproducible and verifiable
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- Rigorous protocol development with explicit rules for data collection
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- Data sources usually primary studies
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Systemic review - ANSWER: Broad "umbrella" term for reviews
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- Integration of studies (qualitative or qualitative)
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- Cochrane reviews are most in depth
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Meta-analysis - ANSWER: - Review of quantitative studies nn nn nn nn nn nn nn
- Statistical analysis to determine EFFECT SIZE/INTERVENTION EFFECTS
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Metasynthesis - ANSWER: - Review of qualitative studies nn nn nn nn nn nn nn nn
- Focus on ABSTRACT EXPERIENCE
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- E.g. death of a loved one
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Qualitative evidence synthesis (QES) - ANSWER: - Review of qualitative studies with
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a focus on INTERVENTIONS
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- E.g. Pt. acceptance, implementation process, barriers to implementation
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Mixed studies review - ANSWER: Review of mixed methods studies (qualitative and
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qualitative)
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Steps in a systemic review - ANSWER: - Clearly define research question
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- Define clear criteria to specify which studies they will include and exclude
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(documented in protocol)
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, - Series of decisions about what type of information to extract from studies, whether to
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include grey literature, broad/narrow focus)
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- Evaluate the quality of studies by using various tools (bias assessment, quality
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assessment scales and checklists)
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Approaches to evaluate study quality - ANSWER: - Quality assessment scales,
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checklists, tools to 'judge' the quality of studies reviewed
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- Help guide decision-making for the review
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- Evaluate quality of evidence, use quality assessment scales and checklists, or tools
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to assess risk of bias (random sampling, assignment, incomplete data, blinding,
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selective reporting, etc.)
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Effect size in meta-analysis - ANSWER: - When examining studies with interventions,
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we want to know whether the intervention significantly affected the outcome and how
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big this effect was
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- Effect size is a statistical way to tell us how big the intervention effect is
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- Cohen's d is one method of calculated effect size- determine the difference in the
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outcome measure between 2 groups (magnitude of the effect of the intervention)
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Difference between effect size and p-value - ANSWER: - P-value tells us whether the
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finding were significant, but not how big the effect is (magnitude)
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- Often depicted in Forest plots
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Reporting guidelines for systematic reviews and meta-analysis - ANSWER: PRISMA-
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preferred reporting items for systematic reviews and meta-analysis; used in RCTs
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MOOSE- meta-analysis of observational studies in epidemiology- used for
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observational studies
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Is IRB approval required for systematic reviews? - ANSWER: No. Systematic reviews
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often use publicly available material/resources and do not collect identifiable
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information from research subjects.
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Potential ethical issues in systematic reviews - ANSWER: - Using studies with ethical
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problems
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- Informed consent for original study does not apply
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- Participants do not know of data use
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- Prone to conflicts of interest (subjectivity in selecting studies and interpretation of
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results)
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Ways to minimize ethical issues - ANSWER: - Cost-benefit analysis for stakeholders
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- Declare conflicts of interest and funding sources
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- Impact of publication bias on the systematic review
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- Evaluate quality of studies in review
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Use of theories in research - ANSWER: - Help EXPLAIN phenomena
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COMPLETE ANSWERS.
Sections of a research article - ANSWER: Abstract, introduction/background, methods,
nn nn nn nn nn nn nn nn nn
results (statistical analysis), discussion (interpretation of results, and conclusion)
nn nn nn nn nn nn nn nn nn
Systematic reviews on the evidence hiearchy - ANSWER: - Highest level of evidence
nn nn nn nn nn nn nn nn nn nn nn nn nn
- Integrates research evidence from multiple studies
nn nn nn nn nn nn
Purpose of systematic reviews - ANSWER: - Inform EBP
nn nn nn nn nn nn nn nn
- Summarize the current state of research
nn nn nn nn nn nn
- Avoid making conclusions based on single studies
nn nn nn nn nn nn nn
- Reproducible and verifiable
nn nn nn
- Rigorous protocol development with explicit rules for data collection
nn nn nn nn nn nn nn nn nn
- Data sources usually primary studies
nn nn nn nn nn
Systemic review - ANSWER: Broad "umbrella" term for reviews
nn nn nn nn nn nn nn nn
- Integration of studies (qualitative or qualitative)
nn nn nn nn nn nn
- Cochrane reviews are most in depth
nn nn nn nn nn nn
Meta-analysis - ANSWER: - Review of quantitative studies nn nn nn nn nn nn nn
- Statistical analysis to determine EFFECT SIZE/INTERVENTION EFFECTS
nn nn nn nn nn nn nn
Metasynthesis - ANSWER: - Review of qualitative studies nn nn nn nn nn nn nn nn
- Focus on ABSTRACT EXPERIENCE
nn nn nn nn
- E.g. death of a loved one
nn nn nn nn nn nn
Qualitative evidence synthesis (QES) - ANSWER: - Review of qualitative studies with
nn nn nn nn nn nn nn nn nn nn nn
a focus on INTERVENTIONS
nn nn nn nn
- E.g. Pt. acceptance, implementation process, barriers to implementation
nn nn nn nn nn nn nn nn
Mixed studies review - ANSWER: Review of mixed methods studies (qualitative and
nn nn nn nn nn nn nn nn nn nn nn
qualitative)
nn
Steps in a systemic review - ANSWER: - Clearly define research question
nn nn nn nn nn nn nn nn nn nn nn
- Define clear criteria to specify which studies they will include and exclude
nn nn nn nn nn nn nn nn nn nn nn nn
(documented in protocol)
nn nn nn
, - Series of decisions about what type of information to extract from studies, whether to
nn nn nn nn nn nn nn nn nn nn nn nn nn nn
include grey literature, broad/narrow focus)
nn nn nn nn nn
- Evaluate the quality of studies by using various tools (bias assessment, quality
nn nn nn nn nn nn nn nn nn nn nn nn
assessment scales and checklists)
nn nn nn nn
Approaches to evaluate study quality - ANSWER: - Quality assessment scales,
nn nn nn nn nn nn nn nn nn nn
checklists, tools to 'judge' the quality of studies reviewed
nn nn nn nn nn nn nn nn nn
- Help guide decision-making for the review
nn nn nn nn nn nn
- Evaluate quality of evidence, use quality assessment scales and checklists, or tools
nn nn nn nn nn nn nn nn nn nn nn nn
to assess risk of bias (random sampling, assignment, incomplete data, blinding,
nn nn nn nn nn nn nn nn nn nn nn
selective reporting, etc.)
nn nn nn
Effect size in meta-analysis - ANSWER: - When examining studies with interventions,
nn nn nn nn nn nn nn nn nn nn nn
we want to know whether the intervention significantly affected the outcome and how
nn nn nn nn nn nn nn nn nn nn nn nn nn
big this effect was
nn nn nn nn
- Effect size is a statistical way to tell us how big the intervention effect is
nn nn nn nn nn nn nn nn nn nn nn nn nn nn nn
- Cohen's d is one method of calculated effect size- determine the difference in the
nn nn nn nn nn nn nn nn nn nn nn nn nn nn
outcome measure between 2 groups (magnitude of the effect of the intervention)
nn nn nn nn nn nn nn nn nn nn nn nn
Difference between effect size and p-value - ANSWER: - P-value tells us whether the
nn nn nn nn nn nn nn nn nn nn nn nn nn
finding were significant, but not how big the effect is (magnitude)
nn nn nn nn nn nn nn nn nn nn nn
- Often depicted in Forest plots
nn nn nn nn nn
Reporting guidelines for systematic reviews and meta-analysis - ANSWER: PRISMA-
nn nn nn nn nn nn nn nn nn
preferred reporting items for systematic reviews and meta-analysis; used in RCTs
nn nn nn nn nn nn nn nn nn nn nn
MOOSE- meta-analysis of observational studies in epidemiology- used for
nn nn nn nn nn nn nn nn
observational studies
nn nn
Is IRB approval required for systematic reviews? - ANSWER: No. Systematic reviews
nn nn nn nn nn nn nn nn nn nn nn
often use publicly available material/resources and do not collect identifiable
nn nn nn nn nn nn nn nn nn nn
information from research subjects.
nn nn nn nn
Potential ethical issues in systematic reviews - ANSWER: - Using studies with ethical
nn nn nn nn nn nn nn nn nn nn nn nn
problems
nn
- Informed consent for original study does not apply
nn nn nn nn nn nn nn nn
- Participants do not know of data use
nn nn nn nn nn nn nn
- Prone to conflicts of interest (subjectivity in selecting studies and interpretation of
nn nn nn nn nn nn nn nn nn nn nn nn
results)
nn
Ways to minimize ethical issues - ANSWER: - Cost-benefit analysis for stakeholders
nn nn nn nn nn nn nn nn nn nn nn
- Declare conflicts of interest and funding sources
nn nn nn nn nn nn nn
- Impact of publication bias on the systematic review
nn nn nn nn nn nn nn nn
- Evaluate quality of studies in review
nn nn nn nn nn nn
Use of theories in research - ANSWER: - Help EXPLAIN phenomena
nn nn nn nn nn nn nn nn nn nn