Session 3: Inequalities and Inequities in Health and Healthcare Flashcards

1
Q

How can we measure (and compare the health of different groups)?

A
  • By measuring mortality and life expectancy
  • Self-report e.g. Surveys: Census 2011 e.g. how is your health in general? Very good/Good/Fair/Bad/Very bad
  • Other useful sources of data? Diagnosis rates, QOF records from GPs, admission rates
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2
Q

What patterns would you expect to find if we compared the health of people living in different regions of England?

A
  • Kensington and Chelsea/Richmond area - life expectancy is up to 86
  • In areas like inner city area Manchester, Tower Hamlets etc - life expectancy down to 79
  • Census data can also give you idea of healthy years (years in good health) - range from up to 70 to down to mid 50s
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3
Q

How can we measure (and compare) the health of people in different socioeconomic positions?

A
  • [SES: Socioeconomic status]
  • Measuring socioeconomic position - based on individual occupation
  • Most commonly used measurement at the moment is National Statistics Socio-Economic Classification (NS-SEC)
  • Census 2011: Q.26-38 (current and past work status, title, responsibilities, sector)
  • Complex calculation
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4
Q

How could you measure deprivation - based on geographical residential area?

A
  • Index of Multiple Deprivation
  • Calculated from Census data on 7 domains (Income, Employment, health and disability, Education skills and training, barriers to housing and services, living environment, crime)
  • Small areas (~1500 residents/650 households) (Lower Layer Super Output Areas) ranked to allow comparisons.
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5
Q

What patterns would you expect to find if we compare the health of people in different socioeconomic positions?

A
  • Census 2011 showed the lower the SES, the higher the porportion of people reporting ill health and disease (stepwise increase).
  • Rates of infant mortality such as still birth, perinatal, neonatal, post-neonatal and infant all decrease the higher the socioeconomic position.
  • Life expectancy and disability-life expectancy is lower in more deprived areas - a lot of people from the more deprived areas are have more years below the pension line spent in hell health.
  • Summary: in the UK, health inequalities are evident between AND within regions. Deprivation is strongly assoicated with (ill) health:

**The more deprived a person is, the larger the proportion of their life will be spent in ill health, and the more likely they will die at a younger age. **

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6
Q

What explanations are there for inequalities in health?

A
  • A long history. Census data from 1911 onwards allowed occupation-based comparisons on death rates.
  • Black Report (commissioned by Department of Health): a landmark text; outlined 4 explanations (initially suppressed by conservative government).
  • ‘Acheson’ Report (Labour government), 1998: inequalities had widened since Black Report
  • Whitehall Studies, 1967; 1985-present: cohort study of civil servants (health and risk factors, job grade etc)
  • ‘Marmot Report’ Fair Society, Healthy Lives, 2010: review of evidence-based strategies for tackling inequalities. *More than 30 years after the Black Report, inequalities were worsening. *
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7
Q

What are the Explanations, theories and pathways for Inequalities in Health?

A

The Black Report provided 4 different explanations and put inequalities on the political and research agenda

  1. Artefact
  2. Social Explanation
  3. Behavioural-cultural
  4. Materialist

In addition there is also research evidence to support psychosocial explanations and income distribution theory

  1. Psychosocial
  2. Income distribution

Research continues e.g. Institute of Health Equity

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8
Q

Describe the Artefact Explanation

A
  • = Health inequalities are evident due to the way statistics are collected (re measurement of class).
  • Concerns about quality of data and method of measurement (of social class and health)
  • Numerator: based on occupational distribution of those who die during the period considered.
  • Denominator: occupational distribution at the most recent Census
  • *Potential problem that death rates in the lower socioeconomic positions were being artificially elevated because people may not have been reporting correctly in the census data. *
  • Mostly decredited as an explanation.
  • If anything, data problems lead to underestimation of inequaltities.
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9
Q

Describe the Social Selection Explanation (Black Report)

A
  • Health determines social position rather than social position influencing health through the process of social mobility (up and down the hierarchy) = Direction of causation is from health to social position.
  • Sick individuals move down social hierarchy, health individuals move up (e.g. due to not being able to work).
  • However chronically ill and disabled people are more likel to be disadvantaged.
  • However huge social health differences in a children (who have no prospensity for social mobility).
  • Plausible explanation but studies suggest that, at most, social-selection makes only minor contribution to social explanation differences in health and mortality (doesn’t provide whole picture).
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10
Q

Describe the Behavioural-Cultural Explanation (Black Report)

A
  • = Ill health is due to people’s choices/decisions, lack of knowledge (e.g. about long term effects) and goals
  • People from disadvantaged backgrounds tend to engage in more health-damaging behaviours, while people from advantaged backgrounds tend to engage in more health-promoting behaviours.
  • Useful explanation (some merit) - e.g. for health education.

Limitations:

  • It is too simplistic to consider health behaviours as always determined by our choices - we need to consider wide social environment when choices are not always possible e.g. cost and accessibility of healthy food.
  • Behaviours are outcomes of social processes, not simply individual choice.
  • “Choices” may be difficult to exercise in adverse conditions
  • “Choices” may be rational for those whose lives are constrained by their lack of resources
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11
Q

Describe the Materialist Explanation (Black Report)

A
  • = Inequalities in health arise from differential access to material resources (focuses on lack of choice) - low income; unemployment; work environments; low control over job; poor housing conditions.
  • Lack of choice in exposure to hazards and adverse conditions e.g. less access to green space and exercise facilities
  • Accumulation of factors across life-course (not taken into account by the Behavioural-Cultural explanation)
  • Most plausible

Limitations

  • Further research needed as to precise routes (pathways) through which material deprivation causes ill-health
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12
Q

Describe Psychosocial Explanation(s)

A
  • Psychosocial pathways act in addition to direct effects of absolute material living standards - not just economic and environmental factors that impact our health. Stress is also influential.
  • Data from Whitehall studies (e.g. Marmot 1991) - social gradient of psychosocial factors.
  • Some stressors are distributed on a social gradient - e.g. negative life events, social support, autonomy at work; job security.
  • Bio-Psycho-Social model
  • Stress impact on health via different pathways:
  • Direct (physiological, immune system)
  • Indirect (health related behaviours, mental health)
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13
Q

Describe the Income Distribution Explanation (Wilkinson)

A
  • Relative (not average) income affects health .
  • Countries with greater income inequalities have greater health inequalities.
  • It is not the richest, but the most egalitarian societies that have the best health
  • Health and social problems are not related to average income in rich countries.
  • Health and social problems are worse in more unequal countries.
  • The larger the income gaps within a country, the worse the worse the country performs on these health and social problems.
  • Why? Associated with psychosocial explanation (increased social inequality => increased social-evaluative threat => increased stress => decreased health)
  • Redistributive policies: reducing income inequality in a society can improve social well-being and in turn many other health and social factors.
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14
Q

How can we measure ACCESS to healthcare?

A
  • Utilisation studies measure receipt of services. But what about people who don’t access care because they can’t/don’t know how?
  • Evidence about Utilisation is contradictory and difficult to interpret
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15
Q

What is the difference between Inequality and Inequity?

A
  • Inequality: when things are different (not equal)
  • Inequity: inequalities that are unfair and avoidable (or not accounted for by clinical need) - e.g. when 2 different groups have the same clinical need but only one of them has access to the health services for that clinical need.
  • You can have inequality without inequity
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16
Q

Describe Deprivation and Patterns of Access

A

More deprived groups seem to have:

  • Higher rates of use of GP services and emergency services
  • Under-use of preventive services (e.g. screening, asthma, outpatients) and specialist services (e.g. CABG and cancer treatments)
17
Q

Describe the theory and evidence behind Deprivation and access

A
  • Tendency to manage health as a series of crises
  • Normalisation of ill-health
  • Event-based consulting may be required to legitimise consultations being ill but not wanting to have ill identitity
  • Difficulty marshalling the resources needed for negiotiation and engagement with health services (requires a variety of sources - transport, social support to help patient get to GPs etc)
  • Tendency to use more “porous” services e.g. GPs are perhaps easier to access.
  • May reflect lack of cultural alignment between health services and lower SES
  • Adjudications of technical and social eligibility by doctors affect referrals and offers.
  • Inequities in access are mediated by complex forms of social advantage and disadvantage as well as differences in service use are associated with social disadvantage (+ ethnicity + gender)
18
Q

What factors relating to diversity are associated with inequalities in health?

A
  • Ethnicity
  • Gender
  • Age
  • Disability
  • Homelessness
19
Q

Describe Ethnicity and Health

A

Lots of different patterns

  • CVD: highest % prevalence in men of south Asian origin, also high rates in Irish men
  • Cancer: generally lower % prevalence in BME (black and minority ethnic groups); exceptions include prostate cancer (higher in black men).
  • Respiratory disease: BME groups lower than white british
  • Liver disease: BME groups lower than white british; exceptions include Hep B conditions in chinese populations
  • Health is patterned by ethnicity; minority ethnic groups are at risk of significant disadvantage across a range of circumstances and indicators. Complex patterns with many contributing factors
20
Q

Describe contributing factors in Ethnicity, SES and Health

A
  • Many (but not all) minority ethnic groups face large SES inequalities but this is not the only factor impacting on health.
  • Patterns of use of, and engagement with healthcare are different for different BME groups e.g. primary care use - higher rates by some SA groups, lower rates by chinese groups. Another example is lower receipt of some specialist services. Higher use of mental health consultations (South African Female Elders)
  • Service provision: perhaps service needs are not being met in some BME groups - potential discrimination in service provision, diagnosis and treatment e.g. due to language barriers etc.
  • Responsiveness: how well do services meet the needs of different groups? E,g. due to social disapproval of certain health issues such as people not seeking consultation on sexual activities, alcohol etc.
  • Language and social networks may deter help-seeking.
  • Stigmatisation and stereotyping. Association between ethnicity and socioeconomic status.
21
Q

Describe Ethnicity, Culture and Health

A
  • Some (health-related) behaviours vary by ethnicity (some BME groups may be more likely to participate in some health behaviours than others).

BUT

  • Significant herteogeneity within ethnic groups.
  • Many minority groups do ‘better’ than majority WB in relation to key health risks (smoking, alcohol, diet).
  • Behaviour patterns are heavily shaped by the socio-economic context.
  • Impact of behaviours depends on the response from healthcare/systems - i.e. if behaviours regarded as ‘deviating’ from ‘the norm’.

AVOID ‘victim blaming’ when mkaing assoications e.g. ‘this particular behaviour is associated with that group’ - not thinking about how services could be adjusted to meet needs accordingly

22
Q

Describe how multidimensional Ethnicity and Health is

A
23
Q

Describe differences in gender and health. Consider gender vs. sex

A
  • Males: higher mortality rates (e.g. more heart attacks), more suicide and violent death
  • Females: higher life expectancy, higher reported (poor) mental health, higher rates of disability and limited longstanding illness. Women have higher use of primary care.
  • Cultural expectations of what is gender appropriate
  • ‘men die quicker, but women get sicker’

Gender vs, Sex:

  • Sex: biological factors (hormonal, reproductive differences)
  • Gender: social factors (roles, norms, discrimination). What is about being a woman/man that influences our health?
  • Gender and SES: there are more men in Class 1 (higher managerial and professional) and large proportions of women in Classes 2, 3 and 6).
24
Q

Sum up Diversity and Inequalities in Health

A
  • Inequalities in health are not only related to socioeconomic factors, but are also associated with diversity (including ethnicity, gender etc)
  • Relationships between factors are complex
  • The health of each individual patient that you meet is related to their socioeconomic status (and the constraints within with that hey live), ethnicity, gender and age
25
Q

Describe the measurement/classification of SES

A

Individual

  • Registrar General Scheme
  • NS-SEC

Area-based

  • Townsend-Deprivation Score

Education

  • Years / level reached

Income

  • E.g. household
26
Q

Describe the Townsend Deprivation Score

A
  • Census data
  • 4 variables
  • Unemployment
  • Car ownership
  • Overcrowded housing
  • Housing tenure
  • Limitations include heterogeneity and transient populations