Module 2 Flashcards
Epidemiology
Study of distribution and determinants of health-related states or events in specified populations and application of this study to control of health problems
Importance of pop. Health
Lifestyle, environment and public health improvements play significant roles in health + mortality
Aim of public/population health framework
Provide max. Benefit for largest no. People at same time reducing inequities in distribution of health and wellbeing
“Define problem” study
Cross-sectional
“Identify risk and protective factors” study
Cohort and case-control
“Develop and test prevention strategies” study
RCT and diagnostic test accuracy
“Assure widespread adoption” study
Evaluative studies
Preventative action can be
Put in place before identifying causative factor
- knowledge of complete pathway is not a pre-requisite for introducing preventative measures”
- can help reduce disease occurrence in pop.
James Lind’s experiment
One of earliest controlled trial although patient no. Were very low
- example of prevention before identifying cause (vitamin C deficiency)
Causal relationships
Epidemiology examines relationships/association between exposures and outcomes for this purpose but remember correlation/association doesn’t always = causation
Determining causality
- can NOT be proven in human studies (practical and ethical reasons)
- most non-experimental in ‘noisy’ environments thus must beware of errors
Bradford Hill framework - aid to thought
1) temporality
2) strength of association
3) consistency of association
4) biological gradient/dose-response
5) biological plausibility of association
6) specificity of association
7) reversibility
Temporality
Cause THEN outcome
- easier in cohort than cross-sectional/case-control studies
Strength of association
Measured by size of relative risk
Dose-response
Incremental change in exposure = change in disease rates
- linear dose-response relationship
Specificity
Cause = single effect or single cause = effect
- weakest feature as health issues have multiple interacting causes and many outcomes share causes
Reversibility
Under controlled conditions (RCT), exposure change = outcome change
(Cause deleted = outcome deleted)
- strongest evidence but not always possible
Rothman’s causal pie components
Recognises multicausality
- sufficient cause
- component cause
- necessary cause
Sufficient cause (causal mechanism)
Whole pie
- min. Set of conditions
- often several factors
- 1 disease may have several sufficient causes
Component cause
Slice
- contributes towards disease causation
- insufficient alone
- interact to produce disease
Necessary cause
A component cause that MUST be present for specific disease to occur
- some diseases may not have one so a component cause will be a necessary cause
Prevention using causal pie
Blocking/removing any component cause = prevention of some cases of disease
(No need to identify every component cause)
- can intervene at any number of points in pie
Causal pie limitations
- fails to capture dose-response relations as a continuum (just series of discrete sufficient causes)
- assumes all causes are deterministic (occurrence completely determined by combo of causes without randomness)
Probabilistic concept of causation
- cause increases probability/chance that its effects will occur
- sufficient cause raises prob to 1
- necessary cause raises prob from 0
- each component cause contributes towards prob from 0 to 1
- considers environmental factors, group level effects
Counterfactual definition of causation
- presence/absence of cause ‘makes a difference’ in outcome or prob of outcome (doesn’t clarify what kind of difference like probabilistic)
- consistent with both deterministic and probabilistic phenomena
State of Māori health
1) systematic inequalities
- health outcomes
- exposure to determinants
- health system responsiveness
- representation in health workforce
2) ethnic inequalities
- can be reduced, eliminated, prevented
Causes of health inequalities
Ethnic inequalities in health fundamentally driven by unequal distribution of health risks and opportunities (social determinants)
Conventional health promotion
- based on western models
- universal formula
- simply adapted for Māori
- not grounded in Māori values and realities (land, access to traditional Kai, te reo)
- superficial vs. structural approach
- tended to benefit non-Māori to greater extent than maori
Te pae mahutonga
Fundamental components of health promotion from a Māori world view
Te pae mahutonga components
4 central stars - mauriora - Waiora - toiora - te oranga 2 pointers - nga manukura - te mana whakahaere
Mauriora
Access to te ao maori (maori world - cultural resources - indigenous dimension)
- working with communities to incorporate/revitalise traditional practices
Waiora
Environmental protection; native and social environ.
- innovative group/community programs aligning with cultural values
Whanaungatanga
Close connection between people
Toiora
Healthy lifestyle
Te oranga
Participation in society; social determinants of health
- addressing underlying issues
- not just in communities but action at political level
Nga manukura
Health professional and community leadership
- fostering, supporting, collaborating with existing leadership/knowledge in communities rather than telling people what they should do
Te mana whakahaere
- capacity for self governance (self-determination, identifying own priorities/needs, solution, sharing, putting in practice, breaking barriers)
- community control and enabling political environ.
Principles of maori health promotion
- by Māori for Māori (for everyone - not excluding)
- self determination and control
- valid models, framework, concepts - not just translated from western context but coming from Māori world view
- Māori people, values, collectives
- contemporary tools and methods
- allows for diverse realities
- focus on determinant of health - not just surface level
- evidence-based
Importance of preventing disease
Need for prevention growing as the limitations in curing disease become apparent and as the costs of medical care escalate