Week 4 - Non-experimental designs and systematic reviews Flashcards

1
Q

What are non-experimental designs?

A
  • Focus on kind of relationships that naturally occurring variables have with one another and in what way (consider type of hypothesis!)
  • Observational studies
  • Can be descriptive (focus on frequency) or analytical (quantifying relationship
    between two factors, ie exposure on an outcome)
  • Basis of most epidemiological research
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2
Q

Survey (cross-sectional descriptive)

A
  • Samples need to be representative in order to make generalizable statements
  • Focus on correlation not causation

Pros:
- Easy and relatively quick way to collect large amounts of data
- Easy/ cheap (?) to distribute

Cons:
- Focus is on breadth rather than depth
- You can only make a statement on questions asked
- Robust (valid and reliable) surveys take time in development

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3
Q

Descriptive/ exploratory Surveys

A

Describe a specific population and characteristics in relation to Research Question

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4
Q

Comparative Surveys

A
  • What are the different experiences of nursing education by 1st year nursing students in Canada compared to UK?
  • Question types can be Likert scale, rating scale, ranking questions, multiple choice questions, single choice question, binary questions, open-ended questions.
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5
Q

Cohort studies

A
  • Can be retrospective or prospective
  • In retrospective studies the exposure and outcomes have already happened –
    already existing data sets are used (eg medical records)
  • In prospective studies (more common) people are recruited into the study regardless of their exposure or outcome (but because of other shared characteristics)

Pros:
- Good for assessing risk factors, harm and prognosis (outcome focuses on risk ration/ relative risk)

Cons:
- Expensive, time consuming esp if long follow up period and disease is rare/ has a long latency

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6
Q

Case-control studies

A
  • Retrospective research design
  • Clearly define two groups at the start: one with the outcome/disease and one without the outcome/disease. Identical expect for their outcome/ disease status
  • They look back to assess whether there is a statistically significant difference in the rates of exposure to a defined risk factor between the groups.
  • The main outcome measure in case-control studies is odds ratio (OR).
  • Data are collected medical records or patient self-report

Pros:
- Cheaper and faster than most other studies
- Understand single and multiple exposures/ risk factors for diseases
- Good for rare disease and long latency periods
- Confounders!

Cons:
- Bias: recall bias
- Incomplete records
- Cannot establish risk (focus on odds)

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7
Q

Cross-sectional studies (observational analytic)

A
  • Similar to cohort study but data collected at one point in time in relation to exposure and outcome
  • Outcome and exposure are measured at the same time
  • Participants selected based in inclusion criteria (rather than outcome status or exposure status)
  • Population based and used often to assess prevalence of disease or risk factor in clinic based samples

Pros:
- Cheap and simple
- Ethically safe

Cons:
- Association not causality
- Group sizes may not be equal

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8
Q

Systematic Reviews

A

A systematic review attempts to identify, appraise and synthesize all the empirical evidence that meets pre-specified eligibility criteria to answer a specific research question.
- Researchers conducting systematic reviews use explicit, systematic methods that are selected with a view aimed at minimizing bias, to produce more reliable findings to inform decision making.
- Totality of evidence rather than relying on evidence from one study
- Systematic reviews can include qualitative, quantitative or both types of empirical evidence (secondary data collection)
- Systematic and detailed methods to search literature, screen papers according to inclusion criteria, extract data of included papers and synthesise (analyse) evidence to answer RQ
- RQ can sound similar to primary research questions
- Descriptive analysis of evidence (what is the evidence)
- Critical appraisal of studies included (how “good” is the evidence)
- Synthesis (narrative) or meta-analysis of included evidence (what does the evidence tell us in relation to the RQ)

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9
Q

Cochrane collaboration

A
  • Types of Cochrane Review
    -> Intervention reviews assess the benefits and harms of interventions used in healthcare and health policy.
  • Diagnostic test accuracy reviews assess how well a diagnostic test performs in diagnosing and detecting a particular disease.
  • Methodology reviews address issues relevant to how systematic reviews and clinical trials are conducted and reported.
  • Qualitative reviews synthesize qualitative evidence to address questions on aspects of interventions other than effectiveness.
  • Prognosis reviews address the probable course or future outcome(s) of people with a health problem.
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