⚡ Quick Summary
A recent study explored patient perspectives on the use of digital medical devices (DMDs) and health data for AI-driven personalized medicine in Parkinson’s Disease (PD). The findings revealed a remarkable 90.3% willingness among participants to use DMDs and an even higher 97.4% willingness to share personal health data.
🔍 Key Details
- 📊 Participants: 333 individuals with Parkinson’s Disease
- 🌍 Locations: France, Spain, and Germany
- 🧩 Focus Areas: Use of DMDs, acceptance of health data sharing, and patient preferences
- ⚙️ Methodology: Cross-sectional study with surveys and logistic regression analysis
🔑 Key Takeaways
- 📈 High willingness to use DMDs (90.3%) and share health data (97.4%) among patients.
- 👵 Older patients (over 75) showed significantly higher willingness compared to younger groups.
- 🎓 Education level influenced acceptance, with higher education correlating to lower willingness to share data.
- 📚 Instruction and feedback on DMD usage significantly increased willingness (OR = 3.57 and OR = 3.77).
- 🔍 Importance of patient perspectives highlighted for effective deployment of digital technologies.
- 🌟 Potential benefits for older and advanced-stage PD patients through DMDs.
📚 Background
Parkinson’s Disease (PD) currently affects approximately 8.5 million people, with projections suggesting this number could rise to 12 million by 2040. The disease is characterized by fluctuating motor and non-motor symptoms, necessitating accurate monitoring and management. Recent advancements in digital medical devices and artificial intelligence present new opportunities to enhance patient care and treatment personalization.
🗒️ Study
The study was part of the EU-wide DIGIPD project and aimed to gather insights into patient perspectives regarding DMDs. Conducted across France, Spain, and Germany, the research involved multidisciplinary teams from neurodegenerative clinics and patient organizations. Surveys collected data on sociodemographic information, DMD usage, health data acceptance, and patient preferences.
📈 Results
Out of the 333 participants, a striking 90.3% expressed willingness to use DMDs, while 97.4% were open to sharing personal health data. Notably, willingness varied significantly across sociodemographic groups, with older patients (over 75) showing a higher acceptance rate compared to younger individuals. Additionally, education level played a role, with those holding university degrees being less inclined to share data.
🌍 Impact and Implications
The findings underscore the critical role of patient perspectives in the successful implementation of digital technologies in healthcare. By understanding the preferences and concerns of patients, especially older individuals with advanced PD, healthcare providers can tailor DMDs to better meet their needs. This could lead to improved patient engagement and outcomes, ultimately enhancing the quality of care in managing Parkinson’s Disease.
🔮 Conclusion
This study highlights the significant potential of digital medical devices and AI in transforming personalized medicine for Parkinson’s Disease. By prioritizing patient perspectives, we can ensure that these technologies are effectively integrated into healthcare practices, particularly for those who stand to benefit the most. Continued research and dialogue in this area are essential for advancing patient care and improving health outcomes.
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Patient perspectives on the use of digital medical devices and health data for AI-driven personalised medicine in Parkinson’s Disease.
Abstract
INTRODUCTION: Parkinson’s Disease (PD) affects around 8.5 million people currently with numbers expected to rise to 12 million by 2040. PD is characterized by fluctuating motor and non-motor symptoms demanding accurate monitoring. Recent advancements in digital medical devices (DMDs) like wearables and AI offer promise in addressing these needs. However, the successful implementation of DMDs in healthcare relies on patients’ willingness to adopt and engage with these digital tools.
METHODS: To understand patient perspectives in individuals with PD, a cross-sectional study was conducted as part of the EU-wide DIGIPD project across France, Spain, and Germany. Multidisciplinary teams including neurodegenerative clinics and patient organizations conducted surveys focusing on (i) sociodemographic information, (ii) use of DMDs (iii) acceptance of using health data (iv) preferences for the DMDs use. We used descriptive statistics to understand the use of DMDs and patient preferences and logistic regression models to identify predictors of willingness to use DMDs and to share health data through DMDs.
RESULTS: In total 333 individuals with PD participated in the study. Findings revealed a high willingness to use DMDs (90.3%) and share personal health data (97.4%,) however this differed across sociodemographic groups and was more notable among older age groups (under 65 = 17.9% vs. over 75 = 39.29%, p = 0.001) and those with higher education levels less willing to accept such use of data (university level = 78.6% vs. 21.43% with secondary level, p = 0.025). Providing instruction on the use of DMDs and receiving feedback on the results of the data collection significantly increased the willingness to use DMDs (OR = 3.57, 95% CI = 1.44-8.89) and (OR = 3.77, 95% CI = 1.01-14.12), respectively.
CONCLUSION: The study emphasizes the importance of considering patient perspectives for the effective deployment of digital technologies, especially for older and more advanced disease-stage patients who stand to benefit the most.
Author: [‘Paccoud I’, ‘Valero MM’, ‘Marín LC’, ‘Bontridder N’, ‘Ibrahim A’, ‘Winkler J’, ‘Fomo M’, ‘Sapienza S’, ‘Khoury F’, ‘Corvol JC’, ‘Fröhlich H’, ‘Klucken J’]
Journal: Front Neurol
Citation: Paccoud I, et al. Patient perspectives on the use of digital medical devices and health data for AI-driven personalised medicine in Parkinson’s Disease. Patient perspectives on the use of digital medical devices and health data for AI-driven personalised medicine in Parkinson’s Disease. 2024; 15:1453243. doi: 10.3389/fneur.2024.1453243