Week 4 - Non-experimental designs and systematic reviews Flashcards
What are non-experimental designs?
- 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
Survey (cross-sectional descriptive)
- 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
Descriptive/ exploratory Surveys
Describe a specific population and characteristics in relation to Research Question
Comparative Surveys
- 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.
Cohort studies
- 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
Case-control studies
- 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)
Cross-sectional studies (observational analytic)
- 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
Systematic Reviews
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)
Cochrane collaboration
- 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.