Ecological Momentary Assessment in Palliative Care: A Qualitative Study of Patient and Clinician Perspectives

姑息治疗中的生态瞬时评估:一项关于患者和临床医生视角的定性研究

阅读:2

Abstract

IntroductionSymptom management tools based on ecological momentary assessment (EMA) may improve symptom tracking and enhance patient-provider communication in ambulatory palliative care (PC), but their design and implementation must align with the needs of patients and clinicians. This study aimed to explore patient and clinician perspectives on the potential role, design considerations, and implementation challenges of implementing EMA-based tools in ambulatory PC settings.MethodWe conducted an exploratory-descriptive qualitative study using semi-structured interviews with 10 patients and 9 clinicians recruited from the ambulatory palliative care clinic of an academic medical center. Interviews were transcribed and analyzed using a hybrid inductive-deductive thematic analysis approach. Coding was conducted by a multidisciplinary team, and themes were developed through iterative team discussions.ResultsFour themes emerged: (1) EMA-based tools can enhance symptom tracking and communication; (2) equity and access must be prioritized to avoid digital exclusion; (3) balancing simplicity and personalization is essential to minimize burden and optimize engagement; and (4) integration into clinical workflows is critical for uptake. Participants emphasized the need for tools that are easy to use, customizable, and embedded in existing systems, with clear protocols for triage and support.ConclusionEMA-based tools have the potential to improve symptom management and communication in ambulatory PC, but must be designed with attention to usability, equity, and workflow integration. Our study findings can inform the co-design of EMA-based tools that are responsive to the needs of patients receiving (and clinicians providing) serious illness care.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。