Module 2: Deciding on Interventions to Improve PopHlth Flashcards
Frame of Dahlgren and Whitehead (Rainbow) model
Triangle - Population
Rainbow - Understanding effects of SEP and other determinants
Rectangle - Identifying inequalities and inequities and why/how they should be reduced
Time arrows
PHF (public health framework)
Provides max benefit for largest number of people, and reduce inequities in the distribution of health and well-being
Define problem - cross-sectional studies
Identify risk and protective factors - cohort studies, case-controlled studies
Develop and test prevention strategies - RCTs, diagnostic test accuracy studies
Assure widespread adoption - evaluative studies
Causes of causes/determinants - for individuals
Any event, characteristic, or other definable entity, that brings about a change for better or worse in health
May vary at different life stages
Income, employment, education, housing and neighbour hoods, societal characteristics, autonomy, empowerment - social cohesion
Causes of causes/determinants - for populations
Concepts similar as for individuals, but nature of determinants is often different
Related to the context in which the pop exists - different populations exert different characteristics
Downstream vs upstream interventions
Downstream: operate at the micro (proximal) level
e.g. treatment systems, disease measurement
Upstream: operate at the macro (distal) level
e.g. government policies, international trade agreements
Proximal determinants
A determinant of health (downstream) that is proximate/near to the change in health status
Directly associated
e.g. lifestyle, nutrition
Distal determinants
A determinant of health (upstream) that is distant in time and/or place from change in health status
e.g. national, political, cultural factors
3 levels of influence
Level 1: The person
Age, sex, biology, behaviour risk factors, lifestyle
Downstream determinants
Level 2: The community
Local influences, e.g. home, workplace, neighbourhood
Social capital
Wider societal levels, e.g. education and healthcare system
Downstream determinants
Level 3: The environment
Cultural, social, political, physical and built environments
Upstream determinants
Social capital
The value of social networks that facilitates bonds between similar groups of people
Habitus
Learning behaviours by being exposed to the group in which you’re in
4 capitals
Natural, human, societal, financial/physical
All interlinked
Well-being outcomes - individuals
Better physical and mental health
Education outcomes
Labour market outcomes
Housing outcomes
Well-being outcomes - societal
Stronger economic performance
Better democratic functioning, safer communities
More inclusive societies
Structure determinants
Upstream
Social and physical environmental conditions that influence choices and opportunities available
Agency determinants
The capacity of an individual to act independently and make free choices
Empowerment
Individual health care - clinicians
Aim to treat disease - to restore health
Reactive form of treatment
Only interested in people who present to the healthcare
Find cause of symptoms in individual patients
Population healthcare
Concerned with health of groups of individuals, in the context of their environment
Identify and treat all appropriate patients in a population - population approach to clinical practice
Also interested in those who have the disease but don’t know they have it, and those who don’t have the disease (why don’t they have it?)
Social and physical environment of population
Important role of epidemiology
Seek cause of dis-ease
Why establish causal relationships?
Provide support for evidence-based practice
Epidemiology doesn’t determine the cause of a disease in a given individual, instead…
It determines the relationship between a given exposure and dis-ease outcome in populations
Most epidemiological studies are…
Non-experimental and conducted in ‘noisy’ environments in free-living populations, therefore establishing causal interferences should be done cautiously
Causes of low-life expectancy within an impoverished community
High prevalence of health-endangering behaviour (individual level)
Poor education, lack of healthcare (population level)
Cultural disintegration, poverty (societal level)
Why can’t causality be proven in human studies
Practical and ethical reasons
Bradford Hill criteria
Helps establish causality
‘Aid for thought’ - just a guideline, not a checklist
Temporality:
- cause comes before disease
- essential to establish a causal relation
- generally easier to establish from cohort studies
Strength of association:
- measured by size of relative risk
- the stronger the association, the more likely to be causal in absence of known biases
- RR > 2: moderate strong association
- RR > 5: strong association
Consistency of association:
- replication of findings by diff investigators, at diff times, in diff places with diff methods, i.e. multiple studies show similar results –> more likely to be causal
- however, lack of consistency doesn’t exclude a causal association since diff conditions may reduce impact of causal factor in certain studies
Biological gradient (dose-response):
- incremental change in disease rates in conjunction with corresponding changes in exposure
Biological plausibility of association:
- does association make sense biologically?
Specificity of association:
- a cause leads to a single effect or an effect has a single cause
- however, health issues have multiple, interacting causes, and many outcomes share causes
Reversibility:
- the demonstration that under controlled conditions, changing the exposure causes a change in outcome
- ideally assessed by RCT but often not possible