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The effect of simulated narratives that leverage EMR data on shared decision-making: a pilot study
Qing Zeng-Treitler1,2, Bryan Gibson1,2, Brent Hill3,4
1Department of Biomedical Informatics, University of Utah, 421 Wakara Way #140, Salt Lake City, UT, 84108, USA.
Simulated narratives did not impact patient decisions or confidence in treatment choices. However, most patients found these stories helpful for decision-making, suggesting potential for shared decision-making tools.
Area of Science:
- Health Informatics
- Patient Decision Aids
- Clinical Communication
Background:
- Shared decision-making enhances patient satisfaction and outcomes.
- Patients require information on treatment risks and benefits for informed choices.
- The Hearts Like Mine (HLM) tool provides personalized treatment outcome information using EHR data.
Purpose of the Study:
- To evaluate the impact of simulated narratives within the HLM tool on patient decision-making.
- To assess whether narratives influence decisional confidence.
- To explore patient perceptions of narrative helpfulness in therapeutic decisions.
Main Methods:
- A pilot study involving 30 subjects using a block-randomized design.
- Comparison of HLM versions with and without simulated narratives for a hypothetical therapeutic decision.
- Measurement of decisional confidence using questionnaires post-decision.
- Statistical analysis included Chi-square and Mann-Whitney U tests.
Main Results:
- No statistically significant effect of simulated narratives on treatment decisions or decisional confidence was observed.
- Participants reported narratives were helpful in their decision-making process (mean score of 3.3/4).
Conclusions:
- Simulated narratives in the HLM tool did not measurably alter decisions or confidence levels.
- Despite no measurable effect, patients perceived narratives as helpful, indicating promise for shared decision-making.
- Narratives may support shared decision-making without introducing significant bias.
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