powerpoint presentation · connected bradford & airedale database t de-identification process...

26/05/2020

1

The odd one out?

John Arbuthnot Meteorological models

Claude Shannon

provided a formal

definition of

information based on

probability and a

receiver – allowing

information to become

a scientific quantity –

and laid the

foundations of the

information age

“400,000 fewer children in poverty than in 2010”

Boris

26/05/2020

2

“400,000 fewer children in poverty than in 2010”

The data

But child poverty increases with benefit freezes and the

loss of local government services!

The number of children living in poverty is estimated to

have increased by 500,000 between 2010/11 and

2017/18 under the DWP’s relative low income measure

The Institute of Fiscal Studies (IFS), the Joseph Rowntree

Foundation and the Social Metrics Commission all agree

that child poverty has worsened

IFS predict an increase in child poverty in future years

Regardless, 3.5 Million children living in absolute

poverty does not exactly constitute ‘success’

Reality check

Inequalities CMO report

“we are not doing as well as

we should”

3-4% have developmental

disorder (risk factor for poor

educational attainment)

health barriers to education

short-term costs estimated as

£1.58 billion per annum

annual long-term costs

estimated at £2.35 billion

Annual report of the

Chief Medical Officer 2012

Our Children Deserve Better:

Prevention Pays

What the data show The problem

The system is broken

It’s complex and dynamic...

But our actions – e.g.

government policies - are

often not tailored for

complex dynamical systems

26/05/2020

3

Act early

Schools

Health services

Digital Triangle

Data Science

Artificial Intelligence Immersive Technologies

Innovative history

Baseline

• Lifestyle

• Environment

• Medical (physical & mental health)

• Socio-economic

• Genetic

• Biological

Routinely collected

data

• Health visitor/school nurse

• Hospital visits

• GP records

• Bradford Education

• Social care

Full Sweep @

4-5yrs

8-10yrs

SECONDARY

• Education

• Environmental

• Medical

• Cognitive

Lifestyles,

obesity &

activity

Asthma,

allergies &

infection

Pollution &

green

space

Learning &

behaviour

Born in Bradford

https://borninbradford.nhs.uk/research/documents-data/

Connected Bradford & Airedale Database – De-identification Process 1v1

Ap

ollo

cBra

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Man

ager

cBra

dfo

rd D

ata

An

alys

tN

ECS

DfE

/LA

Dat

a P

rovi

der

s P

seu

do

at

sou

rce

BTH

FT a

nal

yst

Bradford District and Craven

18.Build the data extract from

Production Server

16.Extract Transform Load

Server

19.Researcher Specific Data

1.Salt Key is sent to named Caldicott Guardians or

Designated Officers upon written request

10.Designated Officer(s) receives

Salt key

13.De-identify

Primary Care Data

15.cBradford ETL Server

17.Production Server

12.Pseudonymise NHS Number in

Primary Care Data

14.Pseudonymised & De-identified

Primary Care Data sent via SFTP

11.Create EDRN

4.De-identify NCMP /

Adult Social Care

2.Caldicott Guardian receives Salt key

3.Pseudonymise NHS Number in NCMP / Adult

Social Care Data


NCMP / Adult Socail Care Data sent via

Kiteworks

20.Send identifiers & EDRN to DfE

22.DfE receives identifiers EDRN

23.Match Education records using

identifiers

24.Create file of EDRN & Matched

Education Records

25.Send EDRN & Education Records

to BTHFT

27.Match Education & Primary Care data

using EDRN

26.Receive Pseudo ID & EDRN from

Apollo


30.HERD Research Database

21.Send Pseudo ID & EDRN to

cBradford Database Manager

8.De-identify

BTHFT Data


7.Pseudonymise BTHFT Data on BTHFT Source

Server

9.Pseudonymised & De-identified BTHFT

Data copied to Secure Drive

28.HERD ETL Server


Server

Approvals:Health Research Authority (HRA) Confidentiality Advisory Group (CAG) REC & IRAS Yorkshire & Humber Bradford Leeds Research Ethics CommitteeWhite Rose Universities Ethics Committees

TPP

LA

BiB data Double disadvantage

OCT

31-32 33-34 35-36 37-38 >40<31

NOV MAY JUN JUL AUGDEC JAN FEB MAR APR

Months of birth within the academic year

Gestational age (weeks)

Odds relative to September birth

Odds relative to birth in 39-40th week

Odds

ratio

(log)

Odds

ratio

(log)2

3

4

1

2

3

8

1


26/05/2020

4

Visual screening

1.0

0.9

0.8

4%

0.092%

0.3

0.7

2%

0.2 2%

Missing in action

866 children (16%) referred for further investigation

534 referred to optometrist

332 referred to Hospital Eye Service

479 (55.3%) attended the first appointment

371 (42.84%) failed to attend

345 were sent a recall appointment

111 (32.17%) attended the recall appointment

[HES coverage improved by10.54% (60.84% to 71.39%) and

Optometrist coverage improved by 14.23% (51.87% to 66.10%)]

234 lost in

action

Seeing and vocabulary

Letter identification affected by poor eyesight

Score 2% every one line logMAR reduction: CI -2.17 to -1.13

Improving autism care

We used BiB data to show that the educational assessments

conducted on all children in their first year of schooling (the

Early Years Foundation Stage Profile) can identify children

at risk of autism

examined EYFSP scores for13,500 children within BiB

educational data linked to routine health in 8,854 children

Creative interventions

Early detection and support for autism

Glasses in classes - world’s largest RCT

Data driven service organisation World’s largest handwriting RCT


Connected Bradford & Airedale Database – De-identification Process 1v1

Ap

ollo

cBra

dfo

rd D

atab

ase

Man

ager

cBra

dfo

rd D

ata

An

alys

tN

ECS

DfE

/LA

Dat

a P

rovi

der

s P

seu

do

at

sou

rce

BTH

FT a

nal

yst

Bradford District and Craven

18.Build the data extract from

Production Server


Server


1.Salt Key is sent to named Caldicott Guardians or

Designated Officers upon written request

10.Designated Officer(s) receives

Salt key

13.De-identify

Primary Care Data

15.cBradford ETL Server

17.Production Server

12.Pseudonymise NHS Number in

Primary Care Data


Primary Care Data sent via SFTP

11.Create EDRN

4.De-identify NCMP /

Adult Social Care


3.Pseudonymise NHS Number in NCMP / Adult

Social Care Data


NCMP / Adult Socail Care Data sent via

Kiteworks

20.Send identifiers & EDRN to DfE

22.DfE receives identifiers EDRN

23.Match Education records using

identifiers

24.Create file of EDRN & Matched

Education Records

25.Send EDRN & Education Records

to BTHFT

27.Match Education & Primary Care data

using EDRN

26.Receive Pseudo ID & EDRN from

Apollo


30.HERD Research Database

21.Send Pseudo ID & EDRN to

cBradford Database Manager

8.De-identify

BTHFT Data


7.Pseudonymise BTHFT Data on BTHFT Source

Server

9.Pseudonymised & De-identified BTHFT

Data copied to Secure Drive

28.HERD ETL Server


Server

Approvals:Health Research Authority (HRA) Confidentiality Advisory Group (CAG) REC & IRAS Yorkshire & Humber Bradford Leeds Research Ethics CommitteeWhite Rose Universities Ethics Committees

Connected Bradford


26/05/2020

5

School admissions Place based working

Not the same place!

White British

heritage -

wealthy

South Asian

heritage -

deprivation

White British

heritage -

deprivation

January 10th 2020

Working with our partners to use data to support

place based working across the Region

11,130 people live in Holme Wood

(28.3% under16 years of age)

84.3% White British plus Gypsy

Highest % of NEET in Leeds City Region

22% long-term illness and on benefits

Life expectancy <10 years below UK

Mental health a major problem

High rates of crime

powerpoint presentation · connected bradford & airedale database t de-identification process...

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