Study Design Types
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- Created by: jennymayg13
- Created on: 23-10-18 14:14
Cross Sectional Surveys
- Reports the prevelance of a feature of interest or frequencies of variables
- Observational
- Quantitative
- Descriptive
Appropriate research questions for surveys
- What is the problem?
- What is the magnitude of the problem?
- Who is affected?
- How do people behave?
- What do they think / what are their attitudes?
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Ecological Studies
- Analytical
- Quantitative
- Observational
- Population analysis - compares populations rather than individuals
Appropriate research questions for comparative surveys:
- What is the magnitude of the problem?
- What is the disease prevalence?
- What is the association between disease outcome and demographic profile for the population?
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Comparative Cross Sectional Surveys
- Quantitative
- Analytical
- Observational
- Random sample drawn to represent population
- Shows association and relationships between variables
Appropriate research questions for comparative surveys:
- What is the magnitude of the problem?
- What is the disease prevalence?
- What are the risk factors?
- Are risk factors associated with outcomes?
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Case Control Studies
- Groups are assembled where differences are known
- Compares group who exibit an effect with a group who do not
- Identifies possible causes of exposure
- Quantitative
- Analytical
- Observational
Appropriate research questions for cohort studies
- What is the strength of association between risk factor & outcome?
- Does exposure to a suspected risk-factor differ between cases & controls?
- What might be the possible cause of a rare disease?
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Cohort Studies
- Longitudinal
- Looks a people without a disease who have different levels of exposure for a disease
- Regular check-ins to see if disease has emerged/ any effects
- Association between variables can be measured using odds ratio and risk ratio
- Quantitative
- Analytical
- Observational
Appropriate research questions for cohort studies
- What is the relative risk?
- What is the prevalence?
- What is the association between risk factor & outcome?
- What is the true estimate of incidence?
- What is the inferred causeof the disease?
- What s the temporal association between suspected cause and outcome?
- How does changing diet affect the progression of a disease (survival study)?
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Survival Analysis
- Quantitative
- Analytical
- Observational
- An analysis focusing on time duration until an event such as death or infection occurs.
- It is usually fundamental to many cohort and randomised controlled trials.
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Nested Case Control Studies
- Starts with a cohort study where a base line is developed
- Disease cases are then selected for the case control study
- The controls are drawn from the cohort population who did not develop the disease
- Analytical
- Quantitative
- Observational
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Case Cohort Studies
- Analytical
- Quantitative
- Observational
- A common comparison sample that is a random selection of the source population (cohort), and multiple case groups, which allows efficient testing of multiple health outcomes
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Randomised Control Trials
- Quantitative
- Experimental/ intervention
- Randomly assigns participants to control and intervention groups
- Patients, Nurses, and Investigators are 'blind'
Appropriate research questions for RCTs
- What is the effect of the therapy, intervention?
- What are the causes?
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Qualitative Studies
- Framework Approach - Staged to analyse qual data
- Ethnographic Study - Detailed and systematic observations of cultural groups
- Grounded Theory Study - Prioritise phenomena and resulting theory as grounded in the data collected
- Phenomenological Study - Detailed descriptions of events and how they impacted the individual
- Phenomenographic Study - Focuses on ways individuals experience events
- Participatory Research Study - Participants test their own interventions
- Case Study - Rich, detailed examination of groups of people or an organisation
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Systematic Reviews
- Analysis of data and research already published
- Gathers all evidence available
- Focuses on a specific research question
- Show research effectivness
- Prevents unncessary repeating of research
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