The integration of social and biological mechanisms for healthcare prediction and intervention A follow up from: The integration of social, behavioural and biological mechanisms in models of pathogenesis Mike Kelly, Rachel Kelly, and Federica Russo
Dec 03, 2014
The integration of social and biological mechanisms
for healthcare prediction and intervention
A follow up from:
The integration of social, behavioural and biological mechanismsin models of pathogenesis
Mike Kelly, Rachel Kelly, and Federica Russo
Aetiology and prediction:the difference between
pathogenesis and prevention
Mike Kelly & Federica Russo
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Overview
The pathogenic approach for communicable diseasesCausal models of disease and Predictive models of interventions
Non-communicable diseasesWhy the pathogenic model does not work
The contribution of ‘the social’The role of human behaviour in disease aetiology
Predictive models of interventionRegress analysis and the means-end relation
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THE PATHOGENIC MODEL FOR COMMUNICABLE DISEASES
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Causes and mechanisms
The conceptualisation of diseaseThe outcome of exposure to a pathogen or other noxious factor
PathogensCause diseaseInitiate complex mechanisms that lead to disease
ComplicationsMultiple pathogens at workFactors that mediate interactionsIndividuals experience multiple morbiditiesetc
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Intervening on the pathogensT1: enough knowledge about good health state, biopathogenesis of disease,
risk of getting disease, etc
Action A: treatment of disease, alleviation, protection from risk protecting people from microorganisms through isolation, providing clean water, removing sewage, immunisation and improving nutritional status and housing conditions
T2: predict evolution of disease, prevention, etc.
Underlying conception:Necessary and sufficient conditions
T1 A T2
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NON-COMMUNICABLE DISEASES
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Why the pathogenic model does not work
NCDs: non-infectious, non-transmittable among people
T1 A T2 often failsActions: reduce exposure to some environmental factors; advice about physical activity, nutrition, smoking habits, …
How much control do we have?On environmental factors – to some extentOn human behaviour – much less
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Asymmetry between aetiology and prediction in NCDs
AetiologyBiopathogenesis of CDs
Biological causes and mechanisms
Behaviour does contribute to risk in NCDs
Aetiology: bio-psycho-social pathogenesis
PredictionPublic health interventions
T1AT2 model has been largely successful
Intervention models did not shift to a bio-psycho-social approachOr, if if it did, it happened very
late
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THE CONTRIBUTION OF ‘THE SOCIAL’ TO AETIOLOGY
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Sociology. And health.
Sociology attempts to explain and predict human behaviour
Societies manifest observable patterns of change Humans are thinking acting beings
Their thought and action take place within the constraints imposed by social structures
What links behaviour and health?
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Social causes are proximal
The proximal – distal distinction
Biological causes are proximal, social causes are distal
Distal causes do not exert direct influence on health
Hence, social causes are at best ‘classificatory devices’, but not active causes in disease aetiology
Against the proximal – distal distinction
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The ‘lifeworld’
Relationships with significant others, neighbours, friends
Local services, shops
Communities and workplaces
The immediate physical and microbiological environments
Mediates exposure to toxins, hazards, pathogens, etc
Drives health states of individuals and populations
Is the product of the interaction between human agency and social structure
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An integrated pathogenic approach
The ‘social’ and the ‘biological’ are integrated in the aetiology
Behavioural factors are active parts of disease mechanisms
An integrated pathogenic approach leads us to rethink models of intervention
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PREDICTIVE MODELS OF INTERVENTION
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Communicable diseases
Causal model of disease Predictive Model of intervention
Cause-effectM
eans
-end
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Non-Communicable diseases
Causal model of disease Predictive model of intervention
Multiple bio-
psycho-social paths
Multiple
means-end
relations
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Some remarks
The ‘bio-psycho-social paths’ and ‘means-end relations’complex networks not linear causal relations
Models of interventions are conceptualised in terms of means-end:
Identify the function of a psycho-social factorIntervening on the function may lead to intervene on something
different than the corresponding causeThe function of psycho-social factor is highly context dependent
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What is function?
In the context of a causal mechanism:Functions are role-functions
The theoretical underpinnings of causal factorsThey are part of the description of the functioning of a component part of a mechanism
A strong conceptual link between functions and causes
Example:alcohol consumption,
the lifeworld, and interventions
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In the pathogenic approach
Alcohol consumption is a ‘single’, ‘homogeneous’ behaviour
Reduce exposure to the pathogen ( = ethanol)
To reduce liver diseases, cancer, obesity, accidents, injury, violence
Actions: change in prices, licensing regimes, education campaign
T1 A T2
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Alcohol consumption is a social structure
It varies across friends, family, social groups, populations, age groups, etcAlcohol consumption is part of the lifeworld of individual and of groups
Targeted groups
Function of alcohol consumption in their lifeworld
Targeted interventions
In an integrated pathogenic approach
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TO SUM UP
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For communicable diseasesThe pathogenic approach is largely
successfulCausal model of diseasePredictive model of intervention
For non-communicable diseasesThe pathogenic approach is
wanting on both sidesCausal model of disease
Integrate bio-social mechanisms
Predictive model of interventionRecast causal paths in terms of
means-end relation, according to the functions of social factors in the lifeworld