Module 2: Demographic measures & Inequalities/Inequities, Flashcards

1
Q

Why do we need population data

A
  1. Measure trends e.g. birth, migration, mortality, morbidity
  2. Crime, unemployment, health service prioritisation
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2
Q

The Cencus

A

Collecting pop. data from households/individuals

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3
Q

ERP

A

Estimates resdient population ignoring ethnicity

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4
Q

Viral events

A

Record death, birth and marraiges

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5
Q

Health service utilisation

A

MoH’s objective records

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6
Q

National representative survey

A

Reports health subjectively

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7
Q

Integrated data infrastructure

A

Datas collected from Government services deifentified/anonymous

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8
Q

IDI risks

A

Possible selection bias

Resource’s only as good as the data

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9
Q

Population pyramid and dependency ratio

A

The greater the ratio the more dependence

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10
Q

Events determining population strcuture

A
  • Age sex structure e.g. fertility
  • Viral events
  • Age structure
  • Migration
  • Mortality and morbidity
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11
Q

Numerical aging

A

Absolute increase in elederly population

  • Reflects demographic pattern and life expectancy
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12
Q

Structural aging

A

Increase in proportion of population that’s elderly driven by decrease in fertility

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13
Q

Natural decline of population

A

More deaths than births

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14
Q

Absolute decline of population

A

Insufficient migration to replace lost birth and increased death

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15
Q

Inequality

A

Measurable difference in health experince and outcome due to SEP & social gradient

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16
Q

Inequity

A

Unfair/unjust distirbution of resources & health service

17
Q

Why reduce inequity

A

Unfair, avoidable, affect everyone and costful

18
Q

Progress Acroynm

A

Plac of residence
Race, ethnicity
Occupation
Gender
Religion
Education
Soceioeconomic status
social capital
+ Disability

19
Q

Causes of causes in inequity

A

Most advantaged get most education, employment, income, health care access

20
Q

Implication of income inequity

A
  • Uneuqal untrusting society
  • increased stress
  • Reduced economic productiity
  • Poor health outcomes
21
Q

Availibilty

A

Service barriers

Relationship between volume and type of existing services to the clients volume and needs

22
Q

Accomodation

A

Organisational barriers

Relationship between the manner in which supply resources are organised and the clients expectations

23
Q

Acceptiability

A

Pyschological barriers

Relationship between clients and providers attitudes to what’s appropriate care e.g. Racism

24
Q

Accessibilty

A

Geographical barriers

Relationship between location of supply and clients - Transportation, travel time, distance, cost

25
Q

Affordability

A

Financial barriers

Cost of provider services in relation to clients ability and willingness to pay

26
Q

Potential access

A

Services are avialable that may be potentially used