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Stroke is the world's third leading cause of death and a major source of disability, with high rates of recurrence and mortality that often limit patients' ability to express their values and treatment preferences. This highlights the importance of Advance Care Planning (ACP) after stroke. This randomized controlled trial examined the effects of an ACP block-based game on life-sustaining treatment preferences, depression, and hope among adults aged 65-100 with subacute stroke in a regional teaching hospital. The Life Support Preferences Questionnaire (LSPQ) served as the primary outcome to assess preference changes immediately after the intervention and at four weeks, while the Hospital Anxiety and Depression Scale (HADS) and the Herth Hope Index (HHI) were secondary measures. The intervention used the "LOHAS Journey" ACP game, which applies travel-themed scenarios, blocks to express medical choices, hope-enhancing elements, and companion cards emphasizing personal resources and potential surrogate decision-makers, while also encouraging warm emotional expression. Generalized Estimating Equations (GEE) were used to analyze repeated measures and time-by-group effects. If effective, this ACP game may support broader clinical adoption of structured discussions on life-sustaining treatment preferences for older stroke patients.
Full description
Background:
Stroke is the third leading cause of death worldwide and one of the most common causes of disability, accounting for approximately 10% of all deaths. One in four people experiences a stroke in their lifetime, and about 10% of stroke survivors face the risk of recurrent stroke within five years, often with more severe symptoms than the first episode. The one-year and five-year mortality rates after stroke are as high as 41% and 60%, respectively. Due to its high incidence, high recurrence rate, and high mortality, many stroke patients are unable to express their values and treatment preferences during the course of illness. This underscores the necessity of engaging in Advance Care Planning (ACP) discussions after stroke.
Purpose:
This study aims to explore the effects of an ACP game intervention on life-sustaining treatment preferences, depression, and hope among older adults with stroke.
Design:
A randomized controlled trial design was adopted.
Participants:
Using purposive sampling, we recruited subacute stroke patients aged 65-100 years from the neurology, neurosurgery, and rehabilitation wards of a regional teaching hospital in eastern Taiwan.
Measurement Tools:
The Life Support Preferences Questionnaire (LSPQ) was used as the primary outcome measure to assess differences in life-sustaining treatment preferences immediately after the intervention and at week 4 post-intervention. Secondary outcome measures included the Hospital Anxiety and Depression Scale (HADS) and the Herth Hope Index (HHI).
Intervention:
The intervention utilized the "LOHAS Journey" ACP block-based game developed for this study. The game incorporates travel-themed scenario guidance, allowing participants to express their medical preferences through the arrangement of blocks. "Hope blocks" were added to transform various stroke- and cancer-related scenarios, enhancing the participants' sense of hope. The game also includes companion option cards, emphasizing personal resources and potential future surrogate decision-makers. Beyond discussing life-sustaining treatment preferences, the game further encourages warm emotional expressions such as gratitude and affection.
Statistical Analysis:
Generalized Estimating Equations (GEE) were used to examine differences in life-sustaining treatment preferences, depression, and hope across repeated measurements, as well as to analyze time and group interaction effects.
If the effectiveness of the ACP block-based game on life-sustaining treatment preferences, depression, and hope among older adults with stroke is confirmed, it will support the promotion of ACP-related discussions in clinical stroke care.
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72 participants in 2 patient groups
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Central trial contact
Chien Yu-Chun Department of Nursing, HN
Data sourced from clinicaltrials.gov
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