Scholarship Flashcards
What is the hierarchy?
What are the different types of bias?
Recall bias– errors due to differences in accuracy/completeness of recall of memoryof past events/experiences
Information bias–collection, recording or handling**of data lead to bias
Attrition bias–unequal loss**of participants from study groups
Hawthorne effect– participantsalter their behaviour**in response to being observed
Confounding– suggests an association wherenone existormasks a true association
What is a hazard ratio?
Type 1 vs 2 error
- Type I Error (false positive)
- Type II Error (false negative)
What are effect sizes?
- Allows us to draw meta-analytic conclusions- multiple effect sizes allow us to best guess the true size of an effect in a population
- Allows power analysis- The number of participants required to achieve a certain probability of finding a true effect
What are confidence intervals?
Confidence Interval is a statement about future Confidence Intervals
▹ Says nothing about future sample estimates
▹ Calculates a lower bound and an upper bound around one sample statistic
informs us about the uncertainty of a sample statistic
What are the different research designs?
▹ Descriptive- Case study, naturalistic observation, cannot statistically infer unless we have the entire population
▹ Correlational- Case control, observation, considers relationship between two variables free from manipulation, cannot determine cause and effect, third variable problem, spurious correlations, analysis - Pearson, Spearman, point biserial
▹ Experimental- Researchers manipulate a variable, RCTs, control and experimental groups, pre and post event, between two groups or same group pre/post, simple test of difference i.e. t test, compares similarity of two sample estimates i.e. means, more than two groups/conditions, ANOVAs
▹ Review- Literature review (Overview of previously published works, generally descriptive), Systematic review (similar but with detailed and
comprehensive plan/search strategy)
▹ Meta-analytic- Analysis that combines findings of multiple
studies, contrast results across studies, provide better estimate of the unknown population effect size
What are the types of NICE appraisals?
-
Single technology appraisal (STA) - covers a single technology for a single indication
- Cost comparison - aims to provide quicker access for patients to the most cost effective new treatments.
- Multiple technology appraisal (MTA) - covers more than one technology, or one technology for more than one indication
What are the stages of NICE appraisal
QALYs=
Quality of Life (QoL) x time
What are the 5 dimensions of QoL
- Pain/discomfort
- Usual activities
- Mobility
- Anxiety/depression
- Self care
What is ICER?
What are the main types of economic evaluation?
Cost-effectiveness analysis (CEA)
- One of the main techniques used
- Outcomes in most appropriate natural or physical units
- Decision rule: dominance (less costly, better outcomes) or cost-effectiveness ratio
- Results in terms of cost per unit effect E.g. lives saved/ complications avoided/ symptom free days/ cancers detected
Cost-utility analysis (CUA)
- Outcomes measured in QALYs
- Combine life years and quality of life
- Can be used to compare across treatment areas
- Decision rule: dominance (less costly, better outcomes) or cost-utility ratio
- Results in terms of cost per additional QALY gained
- Required by decision makers (e.g. NICE)
Horizontal vs vertical equity?
-
Horizontal equity
•People with equal health needs receive equal access to treatment irrespective of demographics
•Factors/barriers e.g. geography, waiting times, patient information -
Vertical equity
•Individuals with unequal needs should be treated according to their differential need
•Obvious but operationally difficult
•How unequal do conditions need to be in order to pursue equity objectives (chronic versus trivial complaints)?
What are the characteristics of qualitative research?
- Aims to understand the meanings people have constructed about their world and their experiences - how do people make sense of their experiences
- Researchers immerse themselves in the natural setting of the people whose thoughts and feelings they wish to explore.
- Understanding is the aim in itself (rather than predicting).
- The researcher is the primary instrument for data collection and analysis.
- Researchers gather data to build concepts, hypotheses and theories rather than to test them.
- The product is richly descriptive and interpretive - describing context and participants involved.
- Assumption is that the researcher cannot stay detached but needs to be engaged in a personal and subjective process of mutual discovery with the informants.
- What matters is NOT neutrality or validity but IS credibility: other researchers and those researched should be content with the interpretations and findings.