Using Data to Improve the Management of Diabetes: The Tayside Experience

Moneeza K. Siddiqui; Christopher Hall; Scott G. Cunningham; Rory McCrimmon; Andrew Morris; Graham P. Leese; Ewan R. Pearson

doi:10.2337/dci22-0003

Using Data to Improve the Management of Diabetes: The Tayside Experience

Moneeza K. Siddiqui, Christopher Hall, Scott G. Cunningham, Rory McCrimmon, Andrew Morris, Graham P. Leese, Ewan R. Pearson (Lead / Corresponding author)

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

103 Downloads (Pure)

Abstract

Tayside is a region in the East of Scotland and forms one of nine local government regions in the country. It is home to approximately 416,000 individuals who fall under the National Health Service Tayside (NHS Tayside) health board who provide healthcare services to the population. In Tayside, Scotland a comprehensive informatics network for diabetes care and research has been established for over 25 years, expanding more recently to a comprehensive Scotland-wide clinical care system, Scottish Care Information-Diabetesor SCI-Diabetes. This has enabled improved diabetes screening, integrated management of diabetic retinopathy, neuropathy, nephropathy, cardiovascular health, and other comorbidities. The regional health informatics network links all these specialized services with comprehensive laboratory testing, prescribing records, general practitioner records, and hospitalization records. Not only do patients benefit from the seamless interconnectedness of these data, the Tayside bioresource has enabled considerable research opportunities and the creation of biobanks. This review describes how health informatics has been used to improve care of people diabetes in Tayside and Scotland and, through anonymized data linkage, our understanding of the phenotypic and genotypic etiology of diabetes and associated complications and co-morbidities.

Original language	English
Pages (from-to)	2828-2837
Number of pages	10
Journal	Diabetes Care
Volume	45
Issue number	12
Early online date	26 Oct 2022
DOIs	https://doi.org/10.2337/dci22-0003
Publication status	Published - Dec 2022

Keywords

Data linkages
diabetes management
regional health systems
epidemiology

ASJC Scopus subject areas

Advanced and Specialised Nursing
Internal Medicine
Endocrinology, Diabetes and Metabolism

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.2337/dci22-0003

Author Accepted ManuscriptAccepted author manuscript, 279 KB
Supplementary AppendixAccepted author manuscript, 979 KB

Cite this

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title = "Using Data to Improve the Management of Diabetes: The Tayside Experience",

abstract = "Tayside is a region in the East of Scotland and forms one of nine local government regions in the country. It is home to approximately 416,000 individuals who fall under the National Health Service Tayside (NHS Tayside) health board who provide healthcare services to the population. In Tayside, Scotland a comprehensive informatics network for diabetes care and research has been established for over 25 years, expanding more recently to a comprehensive Scotland-wide clinical care system, Scottish Care Information-Diabetesor SCI-Diabetes. This has enabled improved diabetes screening, integrated management of diabetic retinopathy, neuropathy, nephropathy, cardiovascular health, and other comorbidities. The regional health informatics network links all these specialized services with comprehensive laboratory testing, prescribing records, general practitioner records, and hospitalization records. Not only do patients benefit from the seamless interconnectedness of these data, the Tayside bioresource has enabled considerable research opportunities and the creation of biobanks. This review describes how health informatics has been used to improve care of people diabetes in Tayside and Scotland and, through anonymized data linkage, our understanding of the phenotypic and genotypic etiology of diabetes and associated complications and co-morbidities.",

keywords = "Data linkages, diabetes management, regional health systems, epidemiology",

author = "Siddiqui, {Moneeza K.} and Christopher Hall and Cunningham, {Scott G.} and Rory McCrimmon and Andrew Morris and Leese, {Graham P.} and Pearson, {Ewan R.}",

note = "Funding Information: GoDARTS is funded and supported by the Wellcome Trust Type 2 Diabetes Case Control Collection (072960/Z/03/Z, 084726/Z/08/Z, 084727/Z/08/Z, 085475/Z/08/Z, 085475/B/08/Z) and as part of the EU IMI-SUMMIT programme). Tenovus Scotland and Diabetes UK grants. SHARE is NHS Scotland Research (NRS) infrastructure initiative and if funded by the Chief Scientists Office of the Scottish Government. Additional Funding and initiation of the spare blood retention at NHS Tayside was supported by the Wellcome Trust Biomedical Resource Award Number 099177/Z/12/Z. Additional genome-wide array data was funded by the National Institute for Health Research (NIHR) (INSPIRED 16/136/102) using UK aid from the UK Government to support global health research. These studies comply with the Declaration of Helsinki. Publisher Copyright: {\textcopyright} 2022 by the American Diabetes Association. Readers may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered.",

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AU - Morris, Andrew

AU - Leese, Graham P.

AU - Pearson, Ewan R.

N1 - Funding Information: GoDARTS is funded and supported by the Wellcome Trust Type 2 Diabetes Case Control Collection (072960/Z/03/Z, 084726/Z/08/Z, 084727/Z/08/Z, 085475/Z/08/Z, 085475/B/08/Z) and as part of the EU IMI-SUMMIT programme). Tenovus Scotland and Diabetes UK grants. SHARE is NHS Scotland Research (NRS) infrastructure initiative and if funded by the Chief Scientists Office of the Scottish Government. Additional Funding and initiation of the spare blood retention at NHS Tayside was supported by the Wellcome Trust Biomedical Resource Award Number 099177/Z/12/Z. Additional genome-wide array data was funded by the National Institute for Health Research (NIHR) (INSPIRED 16/136/102) using UK aid from the UK Government to support global health research. These studies comply with the Declaration of Helsinki. Publisher Copyright: © 2022 by the American Diabetes Association. Readers may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered.

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N2 - Tayside is a region in the East of Scotland and forms one of nine local government regions in the country. It is home to approximately 416,000 individuals who fall under the National Health Service Tayside (NHS Tayside) health board who provide healthcare services to the population. In Tayside, Scotland a comprehensive informatics network for diabetes care and research has been established for over 25 years, expanding more recently to a comprehensive Scotland-wide clinical care system, Scottish Care Information-Diabetesor SCI-Diabetes. This has enabled improved diabetes screening, integrated management of diabetic retinopathy, neuropathy, nephropathy, cardiovascular health, and other comorbidities. The regional health informatics network links all these specialized services with comprehensive laboratory testing, prescribing records, general practitioner records, and hospitalization records. Not only do patients benefit from the seamless interconnectedness of these data, the Tayside bioresource has enabled considerable research opportunities and the creation of biobanks. This review describes how health informatics has been used to improve care of people diabetes in Tayside and Scotland and, through anonymized data linkage, our understanding of the phenotypic and genotypic etiology of diabetes and associated complications and co-morbidities.

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ER -

Using Data to Improve the Management of Diabetes: The Tayside Experience

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

Other files and links

Fingerprint

Scotland India Diabetes Health Informatics Unit (joint with Madras Diabetes Research Foundation)

The Tayside Bioresource: Leveraging Electronic Medical Records to Deliver Personalised Medicine (Biomedical Resource Grant)

Health Informatics Centre

Cite this

Using Data to Improve the Management of Diabetes: The Tayside Experience

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

Other files and links

Fingerprint

Projects

Scotland India Diabetes Health Informatics Unit (joint with Madras Diabetes Research Foundation)

The Tayside Bioresource: Leveraging Electronic Medical Records to Deliver Personalised Medicine (Biomedical Resource Grant)

Equipment

Health Informatics Centre

Cite this