Cost saving analysis of prediabetes intervention modalities in comparison with inaction using Markov state transition model-A multiregional case study.

Hussain Abdulrahman Al-Omar, Marcin Czech, Tran Quang Nam, Ulrike Gottwald-Hostalek, Nikola Vesic, James Whitehouse, Maddy Dawson
Author Information
  1. Hussain Abdulrahman Al-Omar: Department of Clinical Pharmacy, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia. ORCID
  2. Marcin Czech: Pharmacoeconomic Department, Institute of Mother and Child, Warsaw, Poland.
  3. Tran Quang Nam: Department of Endocrinology, University Medical Center, Ho Chi Minh City, Vietnam.
  4. Ulrike Gottwald-Hostalek: Merck KGaA, Darmstadt, Germany.
  5. Nikola Vesic: Merck doo, Belgrade, Serbia.
  6. James Whitehouse: Lightning Health Ltd, London, UK.
  7. Maddy Dawson: Lightning Health Ltd, London, UK. ORCID

Abstract

BACKGROUND: Prediabetes management is a priority for policymakers globally, to avoid/delay type 2 diabetes (T2D) and reduce severe, costly health consequences. Countries moving from low to middle income are most at risk from the T2D "epidemic" and may find implementing preventative measures challenging; yet prevention has largely been evaluated in developed countries.
METHODS: Markov cohort simulations explored costs and benefits of various prediabetes management approaches, expressed as "savings" to the public health care system, for three countries with high prediabetes prevalence and contrasting economic status (Poland, Saudi Arabia, Vietnam). Two scenarios were compared up to 15 y: "inaction" (no prediabetes intervention) and "intervention" with metformin extended release (ER), intensive lifestyle change (ILC), ILC with metformin (ER), or ILC with metformin (ER) "titration."
RESULTS: T2D was the highest-cost health state at all time horizons due to resource use, and inaction produced the highest T2D costs, ranging from 9% to 34% of total health care resource costs. All interventions reduced T2D versus inaction, the most effective being ILC + metformin (ER) "titration" (39% reduction at 5 y). Metformin (ER) was the only strategy that produced net saving across the time horizon; however, relative total health care system costs of other interventions vs inaction declined over time up to 15 y. Viet Nam was most sensitive to cost and parameter changes via a one-way sensitivity analysis.
CONCLUSIONS: Metformin (ER) and lifestyle interventions for prediabetes offer promise for reducing T2D incidence. Metformin (ER) could reduce T2D patient numbers and health care costs, given concerns regarding adherence in the context of funding/reimbursement challenges for lifestyle interventions.

Keywords

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Grants

  1. /Merck KGaA, Darmstadt, Germany

MeSH Term

Humans
Prediabetic State
Markov Chains
Diabetes Mellitus, Type 2
Metformin
Vietnam
Hypoglycemic Agents
Saudi Arabia
Cost-Benefit Analysis
Cost Savings
Male
Female
Middle Aged
Life Style
Health Care Costs

Chemicals

Metformin
Hypoglycemic Agents

Word Cloud

Created with Highcharts 10.0.0T2DERhealthprediabetescostscaremetformininactioninterventionslifestyleILCtimeMetforminsavingmanagementreducecountriesMarkovsysteminterventionstateresourceproducedtotalycostanalysiscasestudyBACKGROUND:Prediabetesprioritypolicymakersgloballyavoid/delaytype2diabetesseverecostlyconsequencesCountriesmovinglowmiddleincomerisk"epidemic"mayfindimplementingpreventativemeasureschallengingyetpreventionlargelyevaluateddevelopedMETHODS:cohortsimulationsexploredbenefitsvariousapproachesexpressed"savings"publicthreehighprevalencecontrastingeconomicstatusPolandSaudiArabiaVietnamTwoscenarioscompared15 y:"inaction""intervention"extendedreleaseintensivechange"titration"RESULTS:highest-costhorizonsdueusehighestranging9%34%reducedversuseffectiveILC + metformin"titration"39%reduction5strategynetacrosshorizonhoweverrelativevsdeclined15VietNamsensitiveparameterchangesviaone-waysensitivityCONCLUSIONS:offerpromisereducingincidencepatientnumbersgivenconcernsregardingadherencecontextfunding/reimbursementchallengesCostmodalitiescomparisonusingtransitionmodel-Amultiregionalbudgetimpact

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