hyperglycaemia and diabetes risk among 100,000 patients opportunities and challenges in using...

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Hyperglycaemia and diabetes risk among 100,000 patients Opportunities and challenges in using routine healthcare data Dr David McAllister Clinical Lecturer in Epidemiology, University of Edinburgh and Specialty Registrar in Public Health, NHS Fife

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Hyperglycaemia and diabetes risk among 100,000 patients

Opportunities and challenges in using routine healthcare data

Dr David McAllisterClinical Lecturer in Epidemiology, University of Edinburgh

and Specialty Registrar in Public Health, NHS Fife

Focus

• Permissions to access data• Access to data• Open data

Acknowledgements

• Alistair McLeod and Paul Ewing at Lothian and Fife SCI-stores• Claire MacDonald, Marion Flood and Roma Armstrong at NHS

Greater Glasgow and Clyde Safe Haven• Christopher Hall and Duncan Heather of Health Informatics

Centre• David Bailley, Philip Johnston, Janet Murray at NHS ISD• Sharon Tuck and Cat Graham at Wellcome Trust CRF Statistics

and Epidemiology• Collaborators – Katherine Hughes, Nazir Lone, Naveed Sattar,

Johnny McKnight and Sarah Wild• Chief Scientist Office, Scotland

CLINICAL PROBLEM

4

6

8

10

12

0 10 20Time (days)

Glu

cose

(m

mo

l/L)

Normal

Stress hyperglycaemia

Type 2 DM

Illness

Longitudinal perspective

4

6

8

10

12

0 10 20Time (days)

Glu

cose

(m

mo

l/L)

Normal

Stress hyperglycaemia

At risk

Type 2 DM

Illness

Longitudinal perspective

Clinician perspective

4

6

8

10

12

0 10 20Time (days)

Glu

cose

(m

mo

l/L)

Normal

Stress hyperglycaemia

At risk

Type 2 DM

Illness

High blood glucose identified during hospital admission, what follow-up is appropriate?

Previous literature

• specific diseases– coronary disease– stroke– pneumonia

• small (largest n = 2,000)• short duration• considerable loss to follow-up

Routinely collected data

• Uncommon outcome• Representative sample (population)• Range of conditions• Answer 2 questions

- Distribution of glucose- Incidence of type 2 diabetes

Emergency admissionsEm

erge

ncy

adm

issi

ons

- SM

R01

• Scottish Morbidity Record• Codes for :-

– emergency– specialty– diagnosis

• Age, sex, deprivation quintile• 2004-2010

Glucose results – SCI-storeFife

Lothian

Glasgow …

Ayrshire ..

Grampian

Borders

Dumfries …

Forth Valley

Highland

Orkney

Shetland

Tayside

• Disseminating clinical results

• Lab and radiology• Independent• Commercially supported

Emer

genc

y ad

mis

sion

s - S

MR0

1

Diabetes - outcomeEm

erge

ncy

adm

issi

ons

- SM

R01

SCI-

diab

etes

– 3

yea

r in

cide

nce

• SCI-diabetes• Prevalence• Incidence to Nov 2011

Fife

Lothian

Glasgow …

Ayrshire ..

Grampian

Borders

Dumfries …

Forth Valley

Highland

Orkney

Shetland

Tayside

PROCESS

Approvals

• Ethics Committee• NHS Research and Development• Scottish Diabetes Research Network• Privacy Advisory Committee at Information

Services Division (ISD)• Scotland-wide Caldicott Officers (pilot)• Glasgow Safe Haven• Health Informatics Centre

Mar-12 Apr-12 May-12 Jun-12 Jul-12 Aug-12

dw SCI storeGrant

submittedEthics waiver

Caldicott approval

Sep-12 Oct-12 Nov-12 Dec-12 Jan-13 Feb-13PAC

approvalSMR01 extract

Lothian extract

Requested start early

SCIDC

Mar-13 Apr-13 May-13 Jun-13 Jul-13 Aug-13

SQL shared Fife extractGlasgow extract

Extention granted

Sep-13 Oct-13 Nov-13 Dec-13 Jan-14 Feb-14First

submittedTayside extract

Second submission

Mar-14 Apr-14 May-14 Jun-14 Jul-14 Aug-14

Third submission

Accepted PublishedRevisions

Challenge SCI store data• SQL written in Lothian• Resources vs costs• Maintain clinical service• Data governance drift

• Data not research-ready

Emer

genc

y ad

mis

sion

s - S

MR0

1

SCI-

diab

etes

– 3

yea

r in

cide

nce

Fife

Lothian

Glasgow

Lanarkshire

Tayside

DATA SHARING

PLOS journals require authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception.

PLOS defines the “minimal dataset” to consist of the dataset used to reach the conclusions drawn in the manuscript … to replicate the reported study findings in their entirety

Minimal dataset

• Age (5-year bands)• Sex• SIMD quintile• Glucose (nearest 0.1 mmol/l)• Medical/ Surgical• COPD , MI , Fracture , Stroke (0 or 1)• Diagnosed with type 2 diabetes (0 or 1)• Days from discharge to diabetes• Year of discharge from hospital

http://datashare.is.ed.ac.uk/

QUESTIONSThank-you