# Understanding decision-making strategies in discrete choice experiment tasks when valuing health states that include duration, a cognitive interview study with Australian adults

**Authors:** Tessa Peasgood, Jill Carlton, Richard Norman, Donna Rowen, Marcel Jonker

PMC · DOI: 10.1007/s11136-026-04189-w · Quality of Life Research · 2026-03-04

## TL;DR

This study explores how people make choices in health-related decision tasks involving trade-offs between health and duration, and how task design affects their decisions.

## Contribution

The study reveals new insights into decision-making strategies in DCE tasks involving duration, particularly the role of Maximal Endurable Time and the influence of task design elements.

## Key findings

- Participants were willing to trade life-years for better health and valued final weeks before death highly.
- Task layout, color, and language significantly influenced decision-making processes.
- Participants did not show clear evidence of discounting future time.

## Abstract

This study examined how participants engage with Discrete Choice Experiments (DCE) with duration tasks for valuing health states, including time preferences, and consideration of interactions between health and duration attributes. It also examined how task layout, colour, and language, particularly how dying is described, influenced decision-making.

Twenty-one adults undertook online cognitive interviews while completing DCE tasks. Tasks involved health and duration attributes, with varying durations (weeks to 20 years) and split triplet designs in which respondents first choose between health states with the same duration and then between one of those health states and either full health for a shorter duration or immediate death. Data were analysed using Framework Analysis with iterative coding and a final thematic framework.

Participants showed willingness to trade life-years for better health, evidence of Maximum Endurable Time, and high value placed on final weeks for closure and goodbyes. Some participants interacted health attributes with duration where duration differed, while others did not. No additional clear evidence of discounting future time emerged. Some participants had emotive reactions to specific phrasing, underscoring the impact of inconsistent wording between choices. Overlapping domains, particularly combined with the use of colour, made tasks easier but sometimes led to ignored domains when duration varied. Participants struggled with hypothetical scenarios and unfamiliar health attributes.

Considering the complexity of decision-making and the influence of framing, presentation and language can inform design and modelling choices for DCE with duration studies.

The online version contains supplementary material available at 10.1007/s11136-026-04189-w.

Little is known about individuals’ decision-making when answering DCE with duration questions, particularly whether they adopt a non-zero-time preference or consider interactions between the duration and attributes in a choice set.

In cognitive interviews with adults we found that choices were influenced by Maximal Endurable Time and the importance of the final weeks before death. Participants did not articulate other clear evidence of discounting future time. Language, colour, and holding attributes constant within choice sets can affect thought-processes and this should be considered during DCE design. While overlap safely simplifies choice tasks with equal durations, it can prevent multiplicative reasoning when durations differ.

The online version contains supplementary material available at 10.1007/s11136-026-04189-w.

## Full-text entities

- **Genes:** SLTM (SAFB like transcription modulator) [NCBI Gene 79811] {aka Met}
- **Diseases:** dead (MESH:D001926), depression (MESH:D003866), dementia (MESH:D003704), sudden death (MESH:D003645), heart attack (MESH:D009203), dying (MESH:D064806), pain (MESH:D010146), death (MESH:D003643)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## References

7 references — full list in the complete paper: https://tomesphere.com/paper/PMC12960390/full.md

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Source: https://tomesphere.com/paper/PMC12960390