Cost-effectiveness analysis for HbA1c test intervals to screen patients with type 2 diabetes based on risk stratification

Abstract Background The best HbA1c test interval strategy for detecting new type 2 diabetes mellitus (T2DM) cases in healthy individuals should be determined with consideration of HbA1c test characteristics, risk stratification towards T2DM and cost effectiveness. Methods State transition models wer...

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Main Authors: Sachiko Ohde, Kensuke Moriwaki, Osamu Takahashi
Format: Article
Language:English
Published: BMC 2021-05-01
Series:BMC Endocrine Disorders
Subjects:
Online Access:https://doi.org/10.1186/s12902-021-00771-0
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author Sachiko Ohde
Kensuke Moriwaki
Osamu Takahashi
author_facet Sachiko Ohde
Kensuke Moriwaki
Osamu Takahashi
author_sort Sachiko Ohde
collection DOAJ
description Abstract Background The best HbA1c test interval strategy for detecting new type 2 diabetes mellitus (T2DM) cases in healthy individuals should be determined with consideration of HbA1c test characteristics, risk stratification towards T2DM and cost effectiveness. Methods State transition models were constructed to investigate the optimal screening interval for new cases of T2DM among each age- and BMI-stratified health individuals. Age was stratified into 30–44-, 45–59-, and 60–74-year-old age groups, and BMI was also stratified into underweight, normal, overweight and obesity. In each model, different HbA1c test intervals were evaluated with respect to the incremental cost-effectiveness ratio (ICER) and costs per quality-adjusted life year (QALY). Annual intervals (Japanese current strategy), every 3 years (recommendations in US and UK) and intervals which are tailored to each risk stratification group were compared. All model parameters, including costs for screening and treatment, rates for complications and mortality and utilities, were taken from published studies. The willingness-to-pay threshold in the cost-effectiveness analysis was set to US $50,000/QALY. Results The HbA1c test interval for detecting T2DM in healthy individuals varies by age and BMI. Three-year intervals were the most cost effective in obesity at all ages—30-44: $15,034/QALY, 45–59: $11,849/QALY, 60–74: $8685/QALY—compared with the other two interval strategies. The three-year interval was also the most cost effective in the 60–74-year-old age groups—underweight: $11,377/QALY, normal: $18,123/QALY, overweight: $12,537/QALY—and in the overweight 45–59-year-old group; $18,918/QALY. In other groups, the screening interval for detecting T2DM was found to be longer than 3 years, as previously reported. Annual screenings were dominated in many groups with low BMI and in younger age groups. Based on the probability distribution of the ICER, results were consistent among any groups. Conclusions The three-year screening interval was optimal among elderly at all ages, the obesity at all ages and the overweight in 45–59-year-old group. For those sin the low-BMI and younger age groups, the optimal HbA1c test interval could be longer than 3 years. Annual screening to detect T2DM was not cost effective and should not be applied in any population.
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spelling doaj.art-853c68c4973b4eed8a3cffe94ff317912022-12-21T22:32:46ZengBMCBMC Endocrine Disorders1472-68232021-05-012111810.1186/s12902-021-00771-0Cost-effectiveness analysis for HbA1c test intervals to screen patients with type 2 diabetes based on risk stratificationSachiko Ohde0Kensuke Moriwaki1Osamu Takahashi2Graduate School of Public Health, Clinical Epidemiology and HTA Center St. Luke’s International UniversityComprehensive Unit for Health Economic Evidence Review and Decision Support (CHEERS), Research Organization of Science and Technology, Ritsumeikan UniversityGraduate School of Public Health, Clinical Epidemiology and HTA Center St. Luke’s International UniversityAbstract Background The best HbA1c test interval strategy for detecting new type 2 diabetes mellitus (T2DM) cases in healthy individuals should be determined with consideration of HbA1c test characteristics, risk stratification towards T2DM and cost effectiveness. Methods State transition models were constructed to investigate the optimal screening interval for new cases of T2DM among each age- and BMI-stratified health individuals. Age was stratified into 30–44-, 45–59-, and 60–74-year-old age groups, and BMI was also stratified into underweight, normal, overweight and obesity. In each model, different HbA1c test intervals were evaluated with respect to the incremental cost-effectiveness ratio (ICER) and costs per quality-adjusted life year (QALY). Annual intervals (Japanese current strategy), every 3 years (recommendations in US and UK) and intervals which are tailored to each risk stratification group were compared. All model parameters, including costs for screening and treatment, rates for complications and mortality and utilities, were taken from published studies. The willingness-to-pay threshold in the cost-effectiveness analysis was set to US $50,000/QALY. Results The HbA1c test interval for detecting T2DM in healthy individuals varies by age and BMI. Three-year intervals were the most cost effective in obesity at all ages—30-44: $15,034/QALY, 45–59: $11,849/QALY, 60–74: $8685/QALY—compared with the other two interval strategies. The three-year interval was also the most cost effective in the 60–74-year-old age groups—underweight: $11,377/QALY, normal: $18,123/QALY, overweight: $12,537/QALY—and in the overweight 45–59-year-old group; $18,918/QALY. In other groups, the screening interval for detecting T2DM was found to be longer than 3 years, as previously reported. Annual screenings were dominated in many groups with low BMI and in younger age groups. Based on the probability distribution of the ICER, results were consistent among any groups. Conclusions The three-year screening interval was optimal among elderly at all ages, the obesity at all ages and the overweight in 45–59-year-old group. For those sin the low-BMI and younger age groups, the optimal HbA1c test interval could be longer than 3 years. Annual screening to detect T2DM was not cost effective and should not be applied in any population.https://doi.org/10.1186/s12902-021-00771-0Type 2 diabetes mellitus screeningHbA1c measurementCost effectiveness analysis
spellingShingle Sachiko Ohde
Kensuke Moriwaki
Osamu Takahashi
Cost-effectiveness analysis for HbA1c test intervals to screen patients with type 2 diabetes based on risk stratification
BMC Endocrine Disorders
Type 2 diabetes mellitus screening
HbA1c measurement
Cost effectiveness analysis
title Cost-effectiveness analysis for HbA1c test intervals to screen patients with type 2 diabetes based on risk stratification
title_full Cost-effectiveness analysis for HbA1c test intervals to screen patients with type 2 diabetes based on risk stratification
title_fullStr Cost-effectiveness analysis for HbA1c test intervals to screen patients with type 2 diabetes based on risk stratification
title_full_unstemmed Cost-effectiveness analysis for HbA1c test intervals to screen patients with type 2 diabetes based on risk stratification
title_short Cost-effectiveness analysis for HbA1c test intervals to screen patients with type 2 diabetes based on risk stratification
title_sort cost effectiveness analysis for hba1c test intervals to screen patients with type 2 diabetes based on risk stratification
topic Type 2 diabetes mellitus screening
HbA1c measurement
Cost effectiveness analysis
url https://doi.org/10.1186/s12902-021-00771-0
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AT osamutakahashi costeffectivenessanalysisforhba1ctestintervalstoscreenpatientswithtype2diabetesbasedonriskstratification