Lecture 27. Introduction to Sustainable Development goals Flashcards

1
Q

3 SDG layers

A
  1. Environment
  2. Society
  3. Economy

Sustainability is meeting human needs with ecological constraints
The economy is making money while achieving sustainability

All layers are interrelated
Environment provides a base for well functioning society, and that in turn creates economic productivity

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2
Q

Environment goals

A

Clean water and sanitation
Life below water
Life on land
Climate action

4

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3
Q

Society goals

A
  • No poverty
  • Zero hunger
  • Good health and wellbeing
  • Quality education
  • Gender equality
  • Affordable and clean energy
  • Sustainable cities and communities
  • Piece, justice, and strong institutions

8

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4
Q

Economy goals

A
  • Decent work and economic growth
  • Industry innovation and infrastructure
  • Reduced inequalities
  • responsible consumption and production

4

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5
Q

what is the challenge with measuring SDGs globally?

A

It’s hard to have a consensus on how to measure the success of the goals

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6
Q

How if the Dahlgren and whitehead model related to the SDG?

A

Individual, community and environmental influences and choices that are made can affect the sustainability goals

  • determinants of health act as the basis for goals in that sector
  • actions do not need to act in isolation, but are interconnected
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7
Q

The Treaty’s position in the wedding cake(SDG)

A

imbedded through all layers centrally

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8
Q

SDGS and determinants of mental health

A

Also looks at proximal and distal factors
-can use many different measures to see how they influence particular factors

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9
Q

NZ living standards framework and SDGs

A

Living standards framework- well-being domains( a more subjective measure)

Almost all of the living standards frameworks can be connected to one or more SDGs
Some of the standards cannot be mapped out to the SDGs and also for SDG

Eg. Living standards measures: Leisure and recreation, Cultural identity, Social connections, and Subjective well-being do not map out to any SDGs

Goal5: Gender equality and goal 10: reduced inequalities also do not map out to any living standards

Goal 5 and 10 are very important and the reason they are not mapped in wellbeing standards is because they are key to all NZ legislations

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10
Q

Main difference between wellbeing and deprivation measures

A
  • Wellbeing is a subjective measure
  • Deprivation is more objective
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11
Q

Why are goal 5 and 10 not mapped to the living standards framework in NZ despite their importance?

A

Goals 5 and 10 are very important and the reason they are not mapped in wellbeing standards is that they are key to all NZ legislation

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12
Q

What is big data?

A
  • Large or complex datasets, which often need terabytes or petabytes of storage.
  • Large amounts of information at a population, regional or local level or span different geographical areas.
  • Combining data from multiple sources to explore population health outcomes

used to inform SDGs

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13
Q

What makes data big? 4 Vs

A
  • Volume: the computing capacity required to store and analyze data
  • Velocity: the speed at which that data are created and analyzed.
  • Variety: the types of data sources available (text, images, social media, administrative)
  • Veracity: the accuracy and credibility of data, Can the data be recreated?

In addition, through the development of data science and other related research, there
are 3 additional ‘Vs’ of relevance:
• Variability: the internal consistency of your data, (e.g. reproducible research)
• Value: the costs required to undertake big data analysis should pay dividends for your organization and its patients.
• Visualisation: the use of novel techniques to communicate the patterns that would otherwise be lost in massive tables of data.

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13
Q

What makes data big? 4 Vs

A
  • Volume: the computing capacity required to store and analyze data
  • Velocity: the speed at which that data are created and analyzed.
  • Variety: the types of data sources available (text, images, social media, administrative)
  • Veracity: the accuracy and credibility of data, Can the data be recreated?

In addition, through the development of data science and other related research, there
are 3 additional ‘Vs’ of relevance:
• Variability: the internal consistency of your data, (e.g. reproducible research)
• Value: the costs required to undertake big data analysis should pay dividends for your organization and its patients.
• Visualisation: the use of novel techniques to communicate the patterns that would otherwise be lost in massive tables of data.

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14
Q

What makes data big? 4 Vs

A
  • Volume: the computing capacity required to store and analyze data
  • Velocity: the speed at which that data are created and analyzed.
  • Variety: the types of data sources available (text, images, social media, administrative)
  • Veracity: the accuracy and credibility of data, Can the data be recreated?

are 3 additional ‘Vs’ of relevance:
• Variability: the internal consistency of your data, (e.g. reproducible research)
• Value: the costs required to undertake big data analysis should pay dividends for your organization and its patients.
• Visualisation: the use of novel techniques to communicate the patterns that would otherwise be lost in massive tables of data.

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15
Q

IDI

A

• The Integrated Data Infrastructure (IDI) is a large research database
containing microdata about people and households.
• De-identified data from a range of government agencies, Statistics NZ surveys including the 2013 Census, and non-government
organisations.
• The IDI holds over 166 billion facts, taking up 1.22 terabytes of space
– and is continually growing.
• Researchers use the IDI to answer complex questions to improve outcomes for New Zealanders.

16
Q

Inequities in before school check(B4Schoolcheck) screening case study

A

specifically for the Pacific population
Align with SDG 3.8 : achieving universal health coverage, check NZs progress

  • compare inequities between the most and least deprived groups, using NZDep
  • Compared Pacific to NZ European
  • “Has NZ improved access to healthcare for pacific children?- a key measure of UPR

• The B4SchoolCheck aims to identify and address
– any health, behavioral, social, or developmental concerns that could affect a child’s ability to get the most benefit from school
– E.G. poor oral health, a hearing problem or communication difficulty

• Intended to be universal, B4SC is the 12th core contact in the Well Child Tamariki Ora Schedule
• B4SC is one of the NZ MOH indicators used to track its progress in its Universal Periodic Review (UPR) commitment to health for all people in NZ
– UPRs are undertaken with a focus on Human Rights.

17
Q

what are some of the measures in B4shoolcheck?

A

VHT- vision and hearing test
Nurse check
SDQT- strength and difficulties quistionnaire (filled out by the teacher)

18
Q

B4SC main findings

A

“The more deprivation family experiences, the less likely the health checks are completed.

For example, Pacific families with low maternal education complete fewer tests than Pacific families with higher maternal education.

European families in overcrowded homes complete more tests than
Pacific families in overcrowded homes.

Each of these factors contributes independently to the
likelihood of completing a health check, meaning that children experiencing multiple deprivations are especially unlikely to get their checks completed.