Literature DB >> 29120503

Route to improving Type 1 diabetes mellitus glycaemic outcomes: real-world evidence taken from the National Diabetes Audit.

A H Heald1,2, M Livingston3, A Fryer4, G Y C Moreno5, N Malipatil1, R Gadsby6, W Ollier1, M Lunt1, M Stedman7, R J Young8.   

Abstract

AIM: To use general practice-level data for England, available through the National Diabetes Audit, and primary care prescribing data to identify prescription treatment factors associated with variations in achieved glucose control (HbA1c ).
METHODS: General practice-level National Diabetes Audit data on Type 1 diabetes, including details of population characteristics, services, proportion of people achieving target glycaemic control [HbA1c ≤58 mmol/mol (7.5%)] and proportion of people at high glycaemic risk [HbA1c >86 mmol/ml (10%)], were linked to 2013-2016 primary care diabetes prescribing data on insulin types and blood glucose monitoring for all people with diabetes.
RESULTS: A wide variation was found between the 10th percentile and the 90th percentile of general practices in both target glycaemic control (15.6% to 44.8%, respectively) and high glycaemic risk (4.8% to 28.6%, respectively). Our analysis suggests that, given the extrapolated total of 280 000 people with Type 1 diabetes in the UK, there may be the potential to increase the number of those within target glycaemic control from 80 000 to 101 000; 53% of this increase (11 000 people) would result from service improvements and 47% (10 000 people) from medication and technology changes. The same improvements would also provide the opportunity to reduce the number of people at high glycaemic risk from 42 000 to 26 500. A key factor associated with practice-level target HbA1c achievement would be greater use of insulin pumps for up to an additional 56 000 people.
CONCLUSION: If the HbA1c achievement rates in service provision, medication and use of technology currently seen in practices in the 90th percentile were to be matched with regard to HbA1c achievement rates in all general practices, glycaemic control might be improved for 36 500 people, with all the attendant health benefits.
© 2017 Diabetes UK.

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Year:  2018        PMID: 29120503     DOI: 10.1111/dme.13541

Source DB:  PubMed          Journal:  Diabet Med        ISSN: 0742-3071            Impact factor:   4.359


  10 in total

1.  Self-Reported Views on Managing Type 1 Diabetes Mellitus.

Authors:  Mike Stedman; Rustam Rea; Christopher J Duff; Mark Livingston; Stephen Brown; Katherine Grady; Katie McLoughlin; Roger Gadsby; Angela Paisley; Anthony A Fryer; Adrian H Heald
Journal:  J Diabetes Sci Technol       Date:  2020-07-05

2.  Long-term conditions and the National Diabetes Audit.

Authors:  Adrian Heald; Mike Stedman; Sanam Farman; Anthony Fryer; Sue Bailey; Roger Gadsby
Journal:  Br J Gen Pract       Date:  2018-07       Impact factor: 5.386

3.  The FreeStyle Libre flash glucose monitoring system: how it has improved glycaemic control for people with type 1 diabetes in Eastern Cheshire, UK.

Authors:  Ghasem Yadegarfar; Simon G Anderson; Zohaib Khawaja; Gabriela Cortes; Kathryn Leivesley; Ann Metters; Linda Horne; Tom Steele; Adrian H Heald
Journal:  Cardiovasc Endocrinol Metab       Date:  2020-06-16

4.  Variability in Test Interval Is Linked to Glycated Haemoglobin (HbA1c) Trajectory over Time.

Authors:  Anthony A Fryer; David Holland; Michael Stedman; Christopher J Duff; Lewis Green; Jonathan Scargill; Fahmy W F Hanna; Pensée Wu; R John Pemberton; Christine Bloor; Adrian H Heald
Journal:  J Diabetes Res       Date:  2022-05-16       Impact factor: 4.061

5.  Applying Parkes Grid Method to Evaluate Impact of Variation in Blood Glucose Monitoring (BGM) Strip Accuracy Performance in Type 1 Diabetes Highlights the Potential for Amplification of Imprecision With Less Accurate BGM Strips.

Authors:  Michael Stedman; Rustam Rea; Christopher J Duff; Mark Livingston; Gabriela Moreno; Roger Gadsby; Helen Lunt; Anthony A Fryer; Adrian H Heald
Journal:  J Diabetes Sci Technol       Date:  2020-03-14

6.  The influence of demographic, social-educational determinants and diabetes management on agreement between glucometer and logbook and its impact on glycemic control in patients with type 1 diabetes: a follow-up study.

Authors:  Rebeca Cavalcante; Alessandra S M Matheus; Aneliza Zanette; Bruna Braga; Bruna Duarte; Bruna Würdig; Daniele Maieron; João Scarparo Sorio; Luciana Bagatini; Michelle Cherit; Marilia Brito Gomes
Journal:  Diabetol Metab Syndr       Date:  2019-06-17       Impact factor: 3.320

7.  Dapagliflozin: an effective adjunctive treatment in type 1 diabetes.

Authors:  Ghasem Yadegarfar; Mark Livingston; Gabriela Cortes; Ramadan Alshames; Kate Leivesley; Ann Metters; Linda Horne; Tom Steele; Adrian H Heald
Journal:  Cardiovasc Endocrinol Metab       Date:  2021-03-25

8.  Analysis of English general practice level data linking medication levels, service activity and demography to levels of glycaemic control being achieved in type 2 diabetes to improve clinical practice and patient outcomes.

Authors:  Adrian Heald; Mark Davies; Mike Stedman; Mark Livingston; Mark Lunt; Anthony Fryer; Roger Gadsby
Journal:  BMJ Open       Date:  2019-09-06       Impact factor: 2.692

9.  Real-world practice level data analysis confirms link between variability within Blood Glucose Monitoring Strip (BGMS) and glycosylated haemoglobin (HbA1c) in Type 1 Diabetes.

Authors:  Adrian H Heald; Mark Livingston; Anthony Fryer; Gabriela Cortes; Simon G Anderson; Roger Gadsby; Ian Laing; Mark Lunt; Robert J Young; Mike Stedman
Journal:  Int J Clin Pract       Date:  2018-08-31       Impact factor: 2.503

10.  Cost of hospital treatment of type 1 diabetes (T1DM) and type 2 diabetes (T2DM) compared to the non-diabetes population: a detailed economic evaluation.

Authors:  Mike Stedman; Mark Lunt; Mark Davies; Mark Livingston; Christopher Duff; Anthony Fryer; Simon George Anderson; Roger Gadsby; Martin Gibson; Gerry Rayman; Adrian Heald
Journal:  BMJ Open       Date:  2020-05-05       Impact factor: 2.692

  10 in total

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