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Comparing patient and physician preferences for PROM and EQ-5D data visualization: exploring the bigger picture.

Vrolijk, R.D. (2023) Comparing patient and physician preferences for PROM and EQ-5D data visualization: exploring the bigger picture.

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Abstract:In the PRODECIDE project, we aim to improve our understanding of how EQ-5D data can be used to support individual patient decisions in the clinical encounter. During this study, a prototype interview guide was developed to gain a better understanding of (1) how EQ-5D data can be used to support individual patient decisions in the clinical encounter, (2) how to visualize EQ-5D data in a way that can be accurately interpreted by patients and physicians, and (3) what factors meet patients’ and physicians’ preferences in terms of visualization formats? An interview guide was developed and refined using the grounded theory method. The interview guide was split into three different parts consisting of questions regarding the usefulness of PROM data in clinical encounters, what EQ-5D data was preferred by the participant and what visualization formats were preferred (which was only included in the patient group). Semi-structured interviews with 10 rheumatoid arthritis patients and 5 physicians were conducted using video calls. Data analysis was completed following open, axial, and selective coding by using qualitative data analysis software (Atlas Ti). Following data analysis, six distinct themes representing both the patients’ and physicians’ perspectives were identified. These were: experiences with PROM use, what to do with PROM outcomes, what information to support PROM outcome display, experiences with EQ-5D use, preferences for EQ-5D system, and factors of influence regarding the level of detail in graphic display. In general, PROMs were of added value in the clinical encounter because they facilitate self-management and improved patient-clinician communication. For this aim, using the EQ-5D health domains scores was preferred by most participants over a single score representing HRQoL. Adding details that support interpretation such as colour shading, clear axis labels, and descriptive labels were found to be key factors. This study’s findings illuminate that implementing the EQ-5D may contribute to richer consultations in rheumatoid arthritis related care. Dividing HRQoL into multiple domains was preferred over a single score representing all aspects of HRQoL. The addition of clarification options proved to be essential elements in improving score interpretation. The study further demonstrates that preferences regarding visualization of EQ-5D scores can change over time suggesting that EQ-5D data display may require a more dynamic approach.
Item Type:Essay (Master)
Faculty:TNW: Science and Technology
Programme:Health Sciences MSc (66851)
Link to this item:https://purl.utwente.nl/essays/94425
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