Literature DB >> 29938343

Interrogation of a longitudinal, national pharmacy claims dataset to explore factors that predict the need for add-on therapy in older and socioeconomically disadvantaged Australians with type 2 diabetes mellitus patients (T2DM).

S S Kumar1,2, H McManus3, T Radovich3, J R Greenfield4,5, A Viardot4,5, K M Williams1,2, P Cronin3, R O Day6,7,8.   

Abstract

PURPOSE: The management of type 2 diabetes mellitus (T2DM) is complex. The aim of this work is to explore factors that predict the need for add-on therapy in patients with T2DM in the community.
METHODS: We accessed longitudinal, pharmacy payment claim records from the national Pharmaceutical Benefits Scheme (PBS) (Subsidises costs of medicines: government pays difference between patient co-payments, lower in concessional patients, and additional cost of drug.) for the period January 2006 to September 2014 (EREC/MI3127) from a 10% random sample of the Australian population validated to be representative of the population by the Australian Bureau of Statistics (ABS). Likely, T2DM patients were identified as those having been dispensed a single anti-hyperglycaemic drug (monotherapy). The time taken and possible factors that might lead to the addition of a second therapy were examined. An examination was made of trends in the co-prescription of either antihypertensive or anti-hyperlipidaemic agents in relation to the time (± 3 years) of initiating an anti-hyperglycaemic agent.
RESULTS: Most (83%) presumed T2DM patients were initiated with metformin. The average time until the second agent was added was 4.8 years (95% CI 4.7-4.9). Satisfactory adherence, age, male gender, initiating therapy after 2012 and initiating with a sulphonylurea drug all were significant risks for add-on therapy. There was no overall trend in the initiation of antihypertensive and/or anti-hyperlipidaemic agents with respect to the time of anti-hyperglycaemic initiation.
CONCLUSION: The usefulness of a longitudinal dataset of pharmacy-claim records is demonstrated. Over half of all older and socioeconmically disadvantaged T2DM patients captured in this longitudinal claims database will be prescribed a second anti-hyperglycaemic agent within 5 years of their first drug therapy. Several factors can predict the risk of prescription of add-on therapy, and these should be considered when prescribing medications to treat T2DM.

Entities:  

Keywords:  Add-on therapy; Longitudinal data; Pharmacy claims database; Type 2 diabetes

Mesh:

Substances:

Year:  2018        PMID: 29938343     DOI: 10.1007/s00228-018-2506-5

Source DB:  PubMed          Journal:  Eur J Clin Pharmacol        ISSN: 0031-6970            Impact factor:   2.953


  13 in total

1.  American Diabetes Association Standards of Medical Care in Diabetes 2017.

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2.  Prescribing practices and clinical predictors of glucose-lowering therapy within the first year in people with newly diagnosed Type 2 diabetes.

Authors:  A Mor; K Berencsi; E Svensson; J Rungby; J S Nielsen; S Friborg; I Brandslund; J S Christiansen; A Vaag; H Beck-Nielsen; H T Sørensen; R W Thomsen
Journal:  Diabet Med       Date:  2015-07-03       Impact factor: 4.359

Review 3.  Glycemic control and complications in type 2 diabetes mellitus.

Authors:  Mark Stolar
Journal:  Am J Med       Date:  2010-03       Impact factor: 4.965

4.  Canadian Diabetes Association 2013 clinical practice guidelines for the prevention and management of diabetes in Canada. Introduction.

Authors:  Alice Y Y Cheng
Journal:  Can J Diabetes       Date:  2013-03-26       Impact factor: 4.190

Review 5.  Adherence to pharmacologic therapy in patients with type 2 diabetes mellitus.

Authors:  Richard R Rubin
Journal:  Am J Med       Date:  2005-05       Impact factor: 4.965

6.  Adherence to prescribed oral hypoglycaemic medication in a population of patients with Type 2 diabetes: a retrospective cohort study.

Authors:  P T Donnan; T M MacDonald; A D Morris
Journal:  Diabet Med       Date:  2002-04       Impact factor: 4.359

7.  Initial and subsequent therapy for newly diagnosed type 2 diabetes patients treated in primary care using data from a vendor-based electronic health record.

Authors:  Emily S Brouwer; Suzanne L West; Marianne Kluckman; Dennis Wallace; Andrew L Masica; Edward Ewen; Rustam Kudyakov; Dunlei Cheng; James Bowen; Neil S Fleming
Journal:  Pharmacoepidemiol Drug Saf       Date:  2012-01-16       Impact factor: 2.890

8.  The rising prevalence of diabetes and impaired glucose tolerance: the Australian Diabetes, Obesity and Lifestyle Study.

Authors:  David W Dunstan; Paul Z Zimmet; Timothy A Welborn; Maximilian P De Courten; Adrian J Cameron; Richard A Sicree; Terry Dwyer; Stephen Colagiuri; Damien Jolley; Matthew Knuiman; Robert Atkins; Jonathan E Shaw
Journal:  Diabetes Care       Date:  2002-05       Impact factor: 19.112

9.  Medication adherence and associated hemoglobin A1c in type 2 diabetes.

Authors:  Kimberley Krapek; Kathleen King; Susan S Warren; Karen G George; Dorothy A Caputo; Karen Mihelich; Elizabeth M Holst; Michael B Nichol; Sheng G Shi; Kevin B Livengood; Steve Walden; Teresa J Lubowski
Journal:  Ann Pharmacother       Date:  2004-07-06       Impact factor: 3.154

10.  Diabetes and cardiovascular disease. The Framingham study.

Authors:  W B Kannel; D L McGee
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