Assessment of response rates and yields for Two opportunistic Tools for Early detection of Non-diabetic hyperglycaemia and Diabetes (ATTEND). A randomised controlled trial and cost-effectiveness analysis

  • K. Khunti
  • , C. L. Gillies
  • , H. Dallosso
  • , E. M. Brady
  • , L. J. Gray
  • , G. Kilgallen
  • , A. Willis
  • , A. Zafar
  • , M. J. Davies

Research output: Contribution to journalArticlepeer-review

Abstract

Aims: To assess the opportunistic use in primary care of a computer risk score versus a self-assessment risk score for undiagnosed type 2 diabetes. Methods: We conducted a randomised controlled trial in 11 primary care practices in the UK. 577 patients aged 40-75 years with no current diagnosis of type 2 diabetes were recruited to a computer based risk score (Leicester Practice Computer Risk Score (LPCRS)) or a patient self-assessment score (Leicester Self-Assessment Score (LSAS)). Results: The rate of self-referral blood tests was significantly higher for the LPCRS compared to the LSAS, 118.98 (95% CI: 102.85, 137.64) per 1000 high-risk patient years of follow-up compared to 92.14 (95% CI: 78.25, 108.49), p = 0.022. Combined rate of diagnosis of type 2 diabetes and those at risk of developing the disease (i.e. impaired glucose tolerance (IGT) or impaired fasting glucose (IFG)) was similar between the two arms, 15.12 (95% CI: 9.11, 25.08) per 1000 high-risk patient years for LPCRS compared to 14.72 (95% CI: 9.59, 22.57) for the LSAS, p = 0.699. For the base case scenario the cost per new case of type 2 diabetes diagnosed was lower for the LPCRS compared to the LSAS, £168 (95% Credible Interval (CrI): 76, 364), and £352 (95% CrI: 109, 1148), respectively. Conclusions: Compared to a self-assessment risk score, a computer based risk score resulted in greater attendance to an initial blood test and is potentially more cost-effective.

Original languageEnglish
Pages (from-to)12-20
Number of pages9
JournalDiabetes Research and Clinical Practice
Volume118
DOIs
Publication statusPublished - 1 Aug 2016
Externally publishedYes

Keywords

  • Early detection
  • Risk scores
  • Type 2 diabetes

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