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Towards a Health Economic Simulation Model of Type 2 Diabetes in Sweden

Ahmad Kiadaliri, Aliasghar LU (2014) In Lund University, Faculty of Medicine Doctoral Dissertation Series 2014:92.
Abstract
The aim of this thesis was to provide part of the data required in updating/developing computer simulation models (CSMs) for type 2 diabetes mellitus (T2DM) using data obtained from routine clinical practice in Sweden.

In paper I, evolution of five biomarkers (i.e., HbA1c, systolic blood pressure, BMI, LDL and total to HDL cholesterol ratio) over time was estimated using data on 5,043 newly diagnosed T2DM patients from the Swedish National Diabetes Register (NDR) and a dynamic panel data framework. The results indicated that difference between individuals with high and low biomarker values at the baseline was diminishing over time.

In paper II, we estimated and validated the risk equations for the first and second major... (More)
The aim of this thesis was to provide part of the data required in updating/developing computer simulation models (CSMs) for type 2 diabetes mellitus (T2DM) using data obtained from routine clinical practice in Sweden.

In paper I, evolution of five biomarkers (i.e., HbA1c, systolic blood pressure, BMI, LDL and total to HDL cholesterol ratio) over time was estimated using data on 5,043 newly diagnosed T2DM patients from the Swedish National Diabetes Register (NDR) and a dynamic panel data framework. The results indicated that difference between individuals with high and low biomarker values at the baseline was diminishing over time.

In paper II, we estimated and validated the risk equations for the first and second major macrovascular events after diagnosis during the five years of follow up using the data on 29,034 T2DM patients from the NDR. We used the Weibull proportional hazard regression to estimate these equations. We found within- and between-event heterogeneities in associations between explanatory variables and the risk of experiencing an event. Validation analysis indicated that all equations had reasonable predictive accuracy in the test sample.

In paper III, health utility weights associated with several T2DM-related complications were estimated using survey data on the Swedish version of EuroQol (EQ-5D) instrument among 1,757 T2DM patients collected by the NDR in 2008. The results indicated that history of kidney disorders (–0.114) and stroke (–0.111) had the highest negative effects on the UK EQ-5D index score. Using the UK and Swedish tariffs resulted in discrepant estimates, possibly leading to divergent results from cost–utility analyses.

In paper IV, an existing cohort model of T2DM in Sweden was updated using equations from papers II and III, and was used to estimate the lifetime costs and benefits of three second-line treatment alternatives, i.e., GLP-1 agonists, DPP-4 inhibitors, or NPH insulin, as add-on to metformin among T2DM patients in Sweden failing to reach Hba1c ≤ 7% with metformin alone. The results indicated that assuming a willingness to pay of SEK 500,000 per QALY gained in Sweden, treatment strategy with GLP-1 can be considered cost-effective compared to DPP-4 or NPH insulin as second line treatment.

The results indicated the importance of developing and refining the equations required in CSMs as new data become available. The data presented in the current thesis are representative of the current clinical practice in Sweden and hence it is suggested that using these data in economic evaluations of T2DM treatment strategies might provide more relevant and accurate results for policy-making in Sweden. (Less)
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author
supervisor
opponent
  • Professor Kristiansen, Ivar Sønbø, Department of Health Management and Health Economics, University of Oslo, Norway
organization
publishing date
type
Thesis
publication status
published
subject
in
Lund University, Faculty of Medicine Doctoral Dissertation Series
volume
2014:92
pages
57 pages
publisher
Health Economics
defense location
School of Economics and Management, EC3:210, Holger Crafoords Ekonomicentrum, Tycho Brahes väg 1, Lund
defense date
2014-09-11 10:00
ISSN
1652-8220
ISBN
978-91-7619-021-0
language
English
LU publication?
yes
id
be4aa46c-301b-4515-8916-34c6870ff45c (old id 4580721)
date added to LUP
2014-08-13 11:06:44
date last changed
2017-09-11 11:01:54
@phdthesis{be4aa46c-301b-4515-8916-34c6870ff45c,
  abstract     = {The aim of this thesis was to provide part of the data required in updating/developing computer simulation models (CSMs) for type 2 diabetes mellitus (T2DM) using data obtained from routine clinical practice in Sweden. <br/><br>
In paper I, evolution of five biomarkers (i.e., HbA1c, systolic blood pressure, BMI, LDL and total to HDL cholesterol ratio) over time was estimated using data on 5,043 newly diagnosed T2DM patients from the Swedish National Diabetes Register (NDR) and a dynamic panel data framework. The results indicated that difference between individuals with high and low biomarker values at the baseline was diminishing over time.<br/><br>
In paper II, we estimated and validated the risk equations for the first and second major macrovascular events after diagnosis during the five years of follow up using the data on 29,034 T2DM patients from the NDR. We used the Weibull proportional hazard regression to estimate these equations. We found within- and between-event heterogeneities in associations between explanatory variables and the risk of experiencing an event. Validation analysis indicated that all equations had reasonable predictive accuracy in the test sample.<br/><br>
In paper III, health utility weights associated with several T2DM-related complications were estimated using survey data on the Swedish version of EuroQol (EQ-5D) instrument among 1,757 T2DM patients collected by the NDR in 2008. The results indicated that history of kidney disorders (–0.114) and stroke (–0.111) had the highest negative effects on the UK EQ-5D index score. Using the UK and Swedish tariffs resulted in discrepant estimates, possibly leading to divergent results from cost–utility analyses.<br/><br>
In paper IV, an existing cohort model of T2DM in Sweden was updated using equations from papers II and III, and was used to estimate the lifetime costs and benefits of three second-line treatment alternatives, i.e., GLP-1 agonists, DPP-4 inhibitors, or NPH insulin, as add-on to metformin among T2DM patients in Sweden failing to reach Hba1c ≤ 7% with metformin alone. The results indicated that assuming a willingness to pay of SEK 500,000 per QALY gained in Sweden, treatment strategy with GLP-1 can be considered cost-effective compared to DPP-4 or NPH insulin as second line treatment.<br/><br>
The results indicated the importance of developing and refining the equations required in CSMs as new data become available. The data presented in the current thesis are representative of the current clinical practice in Sweden and hence it is suggested that using these data in economic evaluations of T2DM treatment strategies might provide more relevant and accurate results for policy-making in Sweden.},
  author       = {Ahmad Kiadaliri, Aliasghar},
  isbn         = {978-91-7619-021-0},
  issn         = {1652-8220},
  language     = {eng},
  pages        = {57},
  publisher    = {Health Economics},
  school       = {Lund University},
  series       = {Lund University, Faculty of Medicine Doctoral Dissertation Series},
  title        = {Towards a Health Economic Simulation Model of Type 2 Diabetes in Sweden},
  volume       = {2014:92},
  year         = {2014},
}