Literature DB >> 24503043

A cost-effectiveness analysis of a telephone-linked care intervention for individuals with Type 2 diabetes.

L G Gordon1, D Bird2, B Oldenburg3, R H Friedman4, A W Russell5, P A Scuffham6.   

Abstract

AIM: To assess the cost-effectiveness of an automated telephone-linked care intervention, Australian TLC Diabetes, delivered over 6 months to patients with established Type 2 diabetes mellitus and high glycated haemoglobin level, compared to usual care.
METHODS: A Markov model was designed to synthesize data from a randomized controlled trial of TLC Diabetes (n=120) and other published evidence. The 5-year model consisted of three health states related to glycaemic control: 'sub-optimal' HbA1c ≥58mmol/mol (7.5%); 'average' ≥48-57mmol/mol (6.5-7.4%) and 'optimal' <48mmol/mol (6.5%) and a fourth state 'all-cause death'. Key outcomes of the model include discounted health system costs and quality-adjusted life years (QALYS) using SF-6D utility weights. Univariate and probabilistic sensitivity analyses were undertaken.
RESULTS: Annual medication costs for the intervention group were lower than usual care [ INTERVENTION: £1076 (95%CI: £947, £1206) versus usual care £1271 (95%CI: £1115, £1428) p=0.052]. The estimated mean cost for intervention group participants over five years, including the intervention cost, was £17,152 versus £17,835 for the usual care group. The corresponding mean QALYs were 3.381 (SD 0.40) for the intervention group and 3.377 (SD 0.41) for the usual care group. Results were sensitive to the model duration, utility values and medication costs.
CONCLUSION: The Australian TLC Diabetes intervention was a low-cost investment for individuals with established diabetes and may result in medication cost-savings to the health system. Although QALYs were similar between groups, other benefits arising from the intervention should also be considered when determining the overall value of this strategy.
Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Cost-effectiveness analysis; Tele-health; Type 2 diabetes

Mesh:

Substances:

Year:  2014        PMID: 24503043     DOI: 10.1016/j.diabres.2013.12.032

Source DB:  PubMed          Journal:  Diabetes Res Clin Pract        ISSN: 0168-8227            Impact factor:   5.602


  2 in total

1.  The Impact of Population-Based Disease Management Services on Health Care Utilisation and Costs: Results of the CAPICHe Trial.

Authors:  Paul A Scuffham; Joshua M Byrnes; Christine Pollicino; David Cross; Stan Goldstein; Shu-Kay Ng
Journal:  J Gen Intern Med       Date:  2018-09-27       Impact factor: 5.128

2.  My Diabetes Coach, a Mobile App-Based Interactive Conversational Agent to Support Type 2 Diabetes Self-Management: Randomized Effectiveness-Implementation Trial.

Authors:  Enying Gong; Shaira Baptista; Anthony Russell; Paul Scuffham; Michaela Riddell; Jane Speight; Dominique Bird; Emily Williams; Mojtaba Lotfaliany; Brian Oldenburg
Journal:  J Med Internet Res       Date:  2020-11-05       Impact factor: 5.428

  2 in total

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