Module 3 Flashcards
social gradient
phenomenon whereby low socioeconomic groups have worse health outcomes (+ shorter lives) than those more advantaged in terms of SEP
- most key social determinants follow gradient
socio-economic position
Social (people, place, ethnicity) and economic factors that influence what positions individuals or groups hold within the structure of a society
- ranking structure
determinants must be
- objective
- measurable
- meaningful
SEP aka
Socioeconomic status, social class (UK), social stratification (US)
why measure SEP
- Quantify level of inequality within or between societies
- Highlight changes (stratification/differences between/within groups) to population structure over time, between Census periods, between generations
- Understand relationship between health and other social variables (age, sex, ethnicity)
SEP history
Have been associated with health and life chances for as long as social groups have existed
individual lifestyle factor indicators
- education
- occupation
- income
- housing
- assets/wealth
- use of services
social and community influences
PARENT’s indicators (some evidence for association between parent-child)
- commonly used to measure SEP in studies of children/adolescents
living and working conditions
area-based measures
- deprivation (NZ index of deprivation - NZDep, Index of Multiple Deprivation - IMD)
- access to resources/services (accessibility indices)
deprivation
State of observable and demonstrable disadvantage relative to the local community or wider society or nation to which an individual, family or group belongs
- 1 is best => 5 is worst
deprivation features
- another way of measuring people’s relative position in society but reports based on where they live, not who they are
- respondents more willing to respond and easier to ask as surveyor
- focus on material deprivation
- easier to measure “don’t have”s than “have”s
- should be applied to conditions and quality of life that are of lower standard than is ordinary in a particular society
- what is defined as ordinary is predominantly Eurocentric
- don’t factor in intragenerational accommodation => focus on majority
poverty
lack of income/resources to obtain normative standard of living
potential access
service available
realised access
service actually utilised
general socioeconomic, cultural and environmental conditions
group populations with similar SEP levels together
- cross-sectional or longitudinal analyses
areas where policy environ. shapes actions on social determinants of health
- child poverty
- education
- employment and working conditions
- minimum income for healthy living
- healthy communities to live and work in
- social determinants and prevention (causes of causes)
global determinants
- Income inequality
- National income
- Gross Domestic Product (GDP) per capita
(used by economists)
- Gross Domestic Product (GDP) per capita
- Literacy rates
- Free trade agreements
understanding causes of causes
work backwords, asking why?
- access to health care -> income -> employment status -> educational attainment -> access to education -> discrimination -> belonging to a marginalised group
unwelcome types of growth
- jobless growth
- ruthless growth
- voiceless growth
- rootless growth
- futureless growth
access
relates consumers’ ability or willingness to enter into the healthcare system
reasons for seeking health service - patient side
- predisposing factors
- enabling factor
- need
health service - hospital side
enough resources?
when patient side and hospital side meet
most likely to utilise/access health services
dimensions of access
- Viewed as a set of more specific areas (dimensions) representing degree of fit between the patient and healthcare system
- Generally independent of one another but not standalone and can be linked
influences of access
- patient satisfaction
- service utilisation
- provider practice patterns
availability
relationship of volume (quantity) and type of existing services (and resources) to the clients’ volume and type of needs
availability examples
- supply of providers (physicians, dentists etc.)
- facilities (clinics, hospitals etc.)
- specialised programs/services (mental health, emergency care etc.)
accommodation
relationship between manner in which supply resources are organised to accept clients and the clients’ ability to accommodate these factors/their expectations
accommodation examples
- appointment system
- hours of operation
- walk-in facilities
- telephone services
acceptability
relationship between clients’ and providers’ attitudes to what constitutes appropriate care
acceptability examples
- consumer reaction to provider attributes
- providers’ attitudes about preferred patient attributes/financing mechanism
accessibility
relationship between location of supply and clients, taking into account client transportation resources and travel time, distance and cost
affordability
cost of provider services in relation to clients’ ability and willingness to pay for these services
affordability examples
- providers’ insurance and deposit requirements
- clients’ income, ability to pay, existing health insurance
- clients’ knowledge of prices, total cost, GP surcharge, possible credit arrangements
- client perception of worth relative to total cost (value of cost)
direct cost
paid to provider
indirect cost
time off work, fuel, car etc.
patient satisfaction
- art of care
- technical quality of care
- accessibility/convenience (accessibility and accommodation)
- finances (affordability)
- physical environment (acceptability)
- availability
- continuity
- efficacy/outcomes
population structure
- age
- sex
population composition
other attributes
- ethnicity
- education
- religion
population (pyramids) are
a window into the past and future
demographic transition
global shift from high to low birth/death rates and the one-off spurt in population growth that accompanies the trend
- began in 1700s
population data sources for epidemiology
- census
- integrated data infrastructure (IDI)
- estimated resident populations (ERP)
- vital events
- health service utilisation and outcomes (HSU)
- nationally representative surveys
- ad hoc surveys
data considerations
- ethics, data privacy/confidentiality
- purpose of data collection vs use in analysis
- population vs population SAMPLES
- participants representative of NZ pop.?
- objective vs subjective measures of health
events determining population structure
- age-sex structure is a function of previous patterns/trends in fertility, migration and mortality events
- vital events affect structure in different ways/extents (fertility/infant mortality: dramatic but time lag, adult mortality: less dramatic/variable, migration: dramatic)
population structure determining events
- fertility, mortality, migration not evenly distributed across population by age and sex
- age-sex structure has crucial influence on rates at which events occur in population
dependency ratios
pop. defined by law as dependent pop./working age x 100
dependent pop. and working age
dependent pop: - children: 0-14 - eldery: ≥65 working age: - 15-64
types of ageing
- numerical ageing
- structural ageing
numerical ageing
absolute increase in pop. that is elderly
- due to improvements in life expectancy
- reflects previous demographic patterns (reduction in infant/child mortality + increased probability of survival at old age)
structural ageing
increase in proportion of pop. that is elderly
- driven by decline in fertility/birth rates
- began occurring in 1800s
relationship between numerical and structural ageing
occur independently of each other with different causes and different implications
- high death rates => pop won’t age numerically
- high birth rates => pop won’t age structurally
population impacts of ageing
- natural decline of pop.
- absolute decline of pop.
natural decline
occurs when deaths > births in a pop.
- combo of absolute and structural ageing
- more elderly (than children) = more deaths (than births) eventually, despite increasing life expectancy
absolute decline
occurs when there is insufficient migration to replace lost births and increased deaths
- competition for migration
- not expected to happen in NZ for 70+ years but happening in some european/asian countries
transitional growth
compounding of pop. growth driven NOT by rising birth rates but declining infant/child mortality rates
premature ageing
- low fertility
- increased life expectancy
- migration driven gains at older age (accelerated structural ageing)
- migration driven losses at younger age
inequities and politics
pophlth is laden with politics => addressing inequities is political
- all govt want to improve health/wellbeing of society but HOW improvements are approached differs widely
inequalities
- measurable differences/variations in health (EGO, CGO, prevalence, incidence)
- social gradient
health inequalities
differences in HEALTH experience/outcomes between different population groups
- according to SEP, area, age, disability, gender, ethnic group
inequities
- inequalities that are deemed to be unfair/stemming from some form of injustice
- relations of equal and unequal power (who has power to make changes, political/social/economic power, justice/injustice)
health inequities
differences in distribution of resources/services across population which do not reflect health needs
equity
- response to need => cater/tailor intervention
- for whom? NZ? all of NZ? Te Tiriti O Waitangi?
equity - ministry of health definition
- In Aotearoa New Zealand, people have differences in health that are not only avoidable but unfair and unjust
- Equity recognises different people with different levels of advantage require different approaches and resources to get equitable health outcomes
manawhenua
right of Maori tribe to manage particular area of land
mataawaka
Maori living in Auckland
PROGRESS stands for
- Place of residence
- Race/ethnicity/culture/language
- Occupation
- Gender/sex
- Religion
- Education
- Socioeconomic status
- Social capital
+ Disability
PROGRESS is…
- socially stratifying factors that drive variations in health outcomes
- helps use spectrum of social stratifiers as opposed to just one
- helps avoid unintended intervention effects that may increase the gap between the most and least disadvantaged
- advantage/disadvantage? why?
PROGRESS-Plus includes
- personal characteristics that attract discrimination (e.g age, disability)
- features of relationships (e.g smoking parents, excluded from school)
- time-dependent relationships (e.g leaving hospital, respite care, temporarily at disadvantage)
PROGRESS-Plus considers…
additional context-specific factors
Reasons for reducing inequities
1) UNFAIR (societal value)
- poor health is the consequence of an unjust distribution of underlying social determinants of health
2) AVOIDABLE
3) affect EVERYBODY
- everyone may be affected by the conditions of the weakest/most vulnerable members of their community
4) reducing them can be COST-EFFECTIVE (more instrumental consideration)
inequities in health outcomes result from
inequities in opportunities
Drawing a Lorenz curve
1) order the population from lowest to highest and ask
- what % of wealth is owned by the poorest 10% pop?
- what % of wealth is owned by the poorest 20% pop? etc.
2) draw a line of absolute equality (45º)
3) draw line based on available data (concave)
4) the more concave, the greater the income inequality in a pop.
gini-coefficient
ratio of area between the line of perfect equality and the observed Lorenz curve to the area between the line of perfect equality and the line of perfect inequality
interpreting the gini-coefficient
0: very equal society
1: very unequal society
improvements in average health status and narrowing differentials by socioeconomic status
are not always correlated
- e.g policies aiming to narrow the gap may conflict with interventions that would achieve the greatest health gain for the pop. overall
exclusion is:
(other than moral considerations)
- costly
- inefficient (represents loss of potential resources)
- unsafe
implications of (income) inequities
- unequal society
- less social cohesion
- notion of support: support system? Who do you contact?
- less trust between groups
- neighbourhood? Relationship with neighbours?
- increased stress
- reduced economic productivity
- poorer health outcomes
reducing inequities can be achieved through…
the redistribution of resources according to need
- extent of redistribution is a matter of social preference
Using examples of best practice it is possible to improve performance of others, and therefore reduce inequities
- everybody else is brought up
inequity myths busted
1) widening inequalities: NOT a necessary outcome of “high waged, highly educated, economically expanding society” (wealthier society)
2) everybody is NOT better off in a society that is “economically expanding and predominantly middle class [and increasingly unequal]”
3) NOT inevitable that public health interventions result in widening of health inequalities (while SOME may)
A society that tolerates a steep socioeconomic gradient in health outcomes
will experience a drag on improvements in life expectancy, and pay the cost via excess health care utilisation
systematic disparities
exemplify maori health and is highly visible in:
- health outcomes
- exposure to determinants of health
- health system responsiveness
- representation in health workforce
systematic disparities are the result of
underperformance of the govt., society and systems
disparities
differences
inequalities simplified
unequal but no judgement