# From numerical to empathy: the dual impact of psychological contracts in doctor-patient communication

**Authors:** Xinru Wang, Yating Chen, Yi Yu, Huan Jiang, Jinyan Song, Weixian Liang, Qiang Zhou, Liang Ying

PMC · DOI: 10.3389/fpsyt.2025.1530932 · Frontiers in Psychiatry · 2025-10-24

## TL;DR

This study explores how psychological contracts and data formats affect healthcare professionals' empathy and decision-making biases in doctor-patient communication.

## Contribution

The study reveals how psychological contracts reduce empathy and probability estimation biases in healthcare communication.

## Key findings

- Psychological contracts significantly increase pain empathy in healthcare professionals.
- Psychological contracts reduce probability estimation bias in small and large probability events.
- Establishing psychological contracts minimizes differences caused by data representation formats.

## Abstract

To investigate how the presence or absence of psychological contracts and different formats of probabilistic data representation influence healthcare professionals’ pain empathy and probability estimation bias in simulated doctor–patient communication contexts.

We included 60 healthcare professionals with the same mathematical ability and divided them into two groups to complete the probability estimation bias task of decision events and the classification task of pain non-pain pictures with and without psychological contracts. The data are analyzed by generalized estimation equation (Gee).

The fulfillment of psychological contracts significantly affects the level of empathy for pain[0.3(95% CI 0.1, 0.4), p <0.001], and the probability bias of decision events with an impact of [19.2 (95% CI 8.5, 29.8), p <0.001] in small probability events and [−21.2 (95% CI −41.7, −0.5), p<0.05] in large probability events.

The establishment of psychological contract reduced the difference between the different data representation forms, significantly improved the pain empathy of the healthcare professionals, and reduced the probability estimation bias of risk decision events.

## Full-text entities

- **Diseases:** pain (MESH:D010146)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

3 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12592883/full.md

## References

36 references — full list in the complete paper: https://tomesphere.com/paper/PMC12592883/full.md

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Source: https://tomesphere.com/paper/PMC12592883