Evidence map›Paper›PMID 32399797›Full record

ArticlePharmacoEconomics2020

Comparing the Cohort and Micro-Simulation Modeling Approaches in Cost-Effectiveness Modeling of Type 2 Diabetes Mellitus: A Case Study of the IHE Diabetes Cohort Model and the Economics and Health Outcomes Model of T2DM.

Michael Willis, Adam Fridhammar, Jens Gundgaard, Andreas Nilsson, Pierre Johansen

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in PharmacoEconomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Michael WillisThe Swedish Institute for Health Economics, Box 2017, 220 02, Lund, Sweden. mw@ihe.se.ORCID 0000-0002-6565-7025
Adam FridhammarThe Swedish Institute for Health Economics, Box 2017, 220 02, Lund, Sweden.ORCID 0000-0003-3715-003X
Jens GundgaardNovo Nordisk A/S, Søborg, Denmark.
Andreas NilssonThe Swedish Institute for Health Economics, Box 2017, 220 02, Lund, Sweden.ORCID 0000-0002-4604-7766
Pierre JohansenNovo Nordisk A/S, Søborg, Denmark.ORCID 0000-0002-6287-7508

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEconomic modeling is widely used in estimating cost-effectiveness in type 2 diabetes mellitus. Because type 2 diabetes is complex and patients are heterogenous, the cohort modeling approach may generate biased estimates of costeffectiveness. The IHE Diabetes Cohort Model (IHE-DCM) was constructed using the cohort approach as an alternative for stakeholders with limited resources, some of whom have voiced reasonable concerns about a lack of transparency with type 2 diabetes micro-simulation models and long run times.

objectivesThe objective of this study was to inform decision makers by investigating the direction and magnitude of bias of IHE-DCM cost-effectiveness estimates that can be attributed to the cohort modeling approach.

methodsSimulation scenarios inspired by the 9th Mount Hood Diabetes Challenge were simulated with IHE-DCM and with a micro-simulation model, the Economic and Health Outcomes Model of T2DM (ECHO-T2DM), and key metrics (absolute and incremental costs and quality-adjusted life-years, event rates, and cost-effectiveness) were compared for evidence of systematic differences. The models were harmonized to the extent possible to ensure that differences were driven primarily by the unit of observation and not by other model differences.

resultsIHE-DCM run times were faster and IHE-DCM produced uniformly larger estimates of absolute life-years, quality-adjusted life-years, and costs than ECHO-T2DM but smaller between-arm (incremental) differences. Estimated incremental cost-effectiveness ratios and net monetary benefits varied similarly and predictably across the scenarios. On average, IHE-DCM estimates of incremental cost-effectiveness ratios and net monetary benefits were CAN$269 (3%) and CAN$2935 (10%) smaller, respectively, than ECHO-T2DM.

conclusionsThere was little evidence that estimated cost-effectiveness metrics, the outcomes that matter most to stakeholders, differed systematically.

Indexed as

Diabetes Mellitus, Type 2Cost-Benefit AnalysisHumansHypoglycemic AgentsOutcome Assessment, Health CareQuality-Adjusted Life YearsHypoglycemic Agents

Identifiers

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.