PH Flashcards
Causes of associations of outcome in a study
1) Bias
2) Chance
3) Confounding
4) Reverse causality
5) True association
What is a bias
Systematic error resulting in deviation from true effect
Types of bias
Selection bias (non-response by certain groups, loss to follow up etc)
Allocation bias (Groups with differing traits allocated to diff groups)
Information bias
- Measurement bias (diff equipment gives diff reading)
- Observation bias (observers expectations influence
- Recall bias (memory)
- Reporting bias (don’t report the truth)
Publication bias (negative results less likely to get published
Bradford Hill criteria (9 things to prove a relationship is causal)
Strength of association (high relative risk)
Consistently shown across studies
Temporality
Dose response
Reversibility
Biological plausibility
etc
Randomised control trial
2 Pros and 2 Cons
Low risk of bias and confounding + can show causality
Time consuming
Expensive
Case control:
What is it?
2 Pros + 2 Cons
Observational study comparing those with disease (case) to those without (control). Looks retrospectively at exposures.
Pro: Quick, good for rare diseases
Cons: difficult finding appropriate controls, Selection and information bias prone
Cross sectional study:
Basics
Pros + Cons
Collects data from population at a point in time (snapshot)
Pro: large sample size, Provides prevalence data
Cons: Risk of reverse causality (which came first)
What is reverse causality?
Outcome mau have been caused by exposure
E.g. in depressed people who are obese which caused which
Cohort study
Basic
Pros + Cons
Longitudinal study of similar groups getting different Tx/RFs
Follows them over time
Can follow up rare exposures
Allow Rfs to be identified
Takes a long time
High drop out rate
50 cases in 1000 people over ten years. What is the incidence per year?
10yrs
= 0.5% per year
How to calculate the relative risk (ratio)
(% with disease in exposed) / (% with disease in control)
How to calculate attributable risk of smoking
(% with disease in exposed) - (% with disease in control)
How to measure number needed to treat (the number which would save 1)
1/Attributable risk
%diseaseexposed - %diseaseunexposed
Wilson + Jungner screening criteria
INASEP
Important disease
Natural Hx under
Acceptable intervention
Simple + Safe
Effective Tx with early detection
Policy of who should get tx
Disadvantage of screening
Overdetection of subclinical disease
False +ve: worry and exposure to harmful further testing
False -ve: more dangerous as gives false sense of health
Positive predictive value
% of positives who are positive
Negative predictive value
% of negative who are negative
Sensitivity
% of those with the disease who are detected
Specificity
% of those without the disease who are negative
Lead time Vs Length time bias
Lead time = false sense of increased survival time due to early detection
Length time = a disease with a slower progression/low aggression more likely to be picked up by screening giving false idea screening is reason for good prognosis
PROGRESS mnemonic for health inequality
Place of residence
Race/Ethnicity
Occupation
Gender
Religion
Education
Socioeconomic status
Social capital resources
Definition of health:
A state of complete physical, mental and social wellbeing. No merely the absence of disease or infirmity
Causes of Errors
System Error
- staffing
- Equiptment unavailability
Human Error
- memory
- skill
- timing
Types of errors & model
Latent (system), Active (human)
Swiss cheese model
4 Questions in breach of negligence
1) Was there a responsibility of care
2) Was there a breach of duty
3) Was the patient harmed
4) Was the harm due to breach
3 domains of public health
Health Protection
Health improvement
Delivery of safe & high quality services
Aim of Health needs assessment
Systematic review to allow resource allocations which improve health equity and reduce inequalities
The 4 types of need (Bradshaw taxonomy)
Felt need (individual perception e.g. back pain need help)
Expressed need (Help seeking- going to Dr)
Normative need - Profession defines what intervention is needed
Comparative need compares the needs of different groups (e.g. diff locations)
3 approaches to to Health needs assessment
Epidemiological
- defines problem by looking at epidemiological data
Comparative
- Looks at services/health outcomes and compares to similar area
Corporate
- Asks local population / Health professionals/gov what needs are
Epidemiological HNA Pros and Cons
Uses existing data, Incidence morbidity/mortality, evaluate trends over time
Variable data qual, data collected may not be required, doesn’t consider felt needs
Comparative HNA Pros and Cons
Quick/Cheap, shows if better/worse than other areas
Difficult to find comparable
Corporate HNA Pros and Cons
Based on felt/expressed need
Make use of experience/knowledge
Cant establish need from demand, Vested interest, political agendas
Types of health behaviour
Health behaviour (prevent disease)
Illness behaviour (going to Dr)
Sick role behaviour (taking medication)
Transtheoretical model behaviour change
PCPMAN
Pre-contemplation (not ready yet)
Contemplation
Preparation
Action
Maintenance
Nudge model behavioural change
Nudge the env for positive change (e.g. fruit near checkout
Theory of planned behaviour
Three things lead to intention and subsequent behaviour
1) Attitude to the behaviour
2) Subjective norms (perceived social pressures)
3) Perceived behavioural control
What are never events
Serious
Largely preventable
Compromise in patient safety
Would not have occurred if preventative measures in place
- wrong site surgery, psych escape, wrong route chemo etc
What does egalitarian mean?
All people are equal and deserve equal rights and opportunities.
unfits of cohort study
Assessment of multiple RF
Assess rare disease
RCT can not be used to assess pathological exposures ethically