Exploring Experiences of Self-Directed Care Budgets: Design Implications for Socio-Technical Interventions

Document Title

Exploring the Experience of Self-Directed Care Budgets: Design Implications for Sociotechnical Interventions

Document Information

• Subject Area: Human-Computer Interaction (HCI) and Personalized Healthcare Services
• Keywords: Caregivers, Disability, Self-Directed Care Budgets, Personal Health Budgets, Healthcare Services

Research Background and Problem Statement

• Existing Problems/Challenges: While self-directed care budgets (hereafter referred to as PHBs) aim to empower individuals with disabilities and informal caregivers, the transfer of responsibility, lack of information, and complex interactions with healthcare systems often increase the burden on budget recipients, potentially leading to imbalances in power dynamics.
• Research Significance: Self-directed care budgets are widely adopted in Global North countries, but their successful implementation is hindered by institutional barriers, mistrust from healthcare officials, and insufficient capacity-building for users. This paper explores these issues, offering a new perspective on the role of digital technologies in the care domain.
• Research Motivation and Related Work:
  • The HCI field has begun addressing the everyday challenges faced by informal caregivers and the complexities of healthcare infrastructure, but research on personalized healthcare budgets remains limited.
  • Previous studies have highlighted inequalities in healthcare services, insufficient resources, and an over-reliance on technological interventions (e.g., the limitations of technological solutionism).

Proposed Solution

• Proposed Approach:
  1. Explore how digital technologies can support recipients of personalized care budgets.
  2. Design platforms to facilitate peer support and experience sharing.
  3. Analyze interactions between budget beneficiaries and healthcare officials to propose infrastructures that improve trust and communication.
• Innovations:
  • Propose the possibility of creating digital commons within existing healthcare environments to share experiences and support beneficiaries in capacity building.
  • Emphasize avoiding the automation of existing biases and social inequalities, advocating for more transparent and collaborative designs.
  • Introduce methodological innovations for studying hard-to-reach groups, such as asynchronous and hybrid participatory design approaches.
• Implementation Steps and Key Technologies:
  • Collect experiences and perspectives of PHB beneficiaries and healthcare officials through asynchronous and synchronous focus group discussions.
  • Openly code the data and conduct thematic analysis to generate design-oriented recommendations.
  • Use digital tools to support diverse channels for information aggregation and peer support.

Research Outcomes

• Specific Findings:
  1. Uncovered the complex power dynamics involved in the process of budget application and management.
  2. Identified the core competencies and knowledge gaps required for users to operate budgets effectively.
  3. Highlighted key user concerns, including technological risks (e.g., data breaches), additional burdens, and factors of mistrust.
• Comparison with Existing Solutions:
  • The proposed design focuses on addressing user pain points through peer support and transparent technological interventions, rather than simple task automation.
  • Stresses the need for designs that simultaneously consider both budget recipients and healthcare officials, building meaningful relationships based on democracy and equity.
• Experimental or Evaluation Results:
  • Participants expressed the potential utility of digital tools through focus groups and interviews, while also raising concerns about technological drawbacks (e.g., loss of human touch).
  • While technology can facilitate information sharing, issues of user mistrust and technological reliability must be addressed.
• Limitations and Future Directions:
  • Data collection relied primarily on self-selected respondents, which may introduce selection bias.
  • Although the methodology was successful, future work should expand to include face-to-face interactions to cover a broader target audience.
  • Propose exploring ways to improve decision-making processes through transparency and democratization, as well as further research into solutions applicable to other countries and regions.

Conclusion

This paper is the first to introduce the perspective of HCI research into the field of self-directed care budgets, uncovering the challenges and complexities of budget management. It also proposes theoretical foundations and practical recommendations for designing technologies and social structures to promote equity and transparency. This research offers valuable insights for countries globally adopting personalized care policies, particularly on how digital technologies can effectively support budget recipients and improve their interactions with healthcare institutions.