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Towards Data-Enabled Physical Activity Planning: An Exploratory Study of HCP Perspectives On The Integration Of Patient-Generated Health Data

Pavithren V S Pakianathan, Hannah McGowan, Isabel Höppchen, Daniela Wurhofer, Gunnar Treff, Mahdi Sareban, Josef Niebauer, Albrecht Schmidt, Jan David Smeddinck

TL;DR

This study investigates how patient-generated health data (PGHD) from wearables can be integrated into physical activity planning within cardiovascular rehabilitation. Using a two-part formative design (Part 1 with healthy participants and Part 2 with HCPs in a card-sorting workshop), the authors uncover HCP information needs, potential workflow adaptations, and multi-level barriers and enablers. Key contributions include design implications for data quality indicators, standardized interfaces, glance-able dashboards, and AI-augmented sense-making to support SDM. The findings highlight the importance of contextualized, flexible tools that align with clinical workflows and address organizational, legal, and data-literacy considerations, paving the way for patient-centered PGHD-enabled PA planning in cardiac care.

Abstract

Physical activity planning is an essential part of cardiovascular rehabilitation. Through a two-part formative design exploration, we investigated integrating patient-generated health data (PGHD) into clinical workflows supporting shared decision-making (SDM) in physical activity planning. In part one, during a two-week situated study, to reduce risk of working with cardiovascular disease patients, we recruited healthy participants who self-tracked health and physical activity data and attended a physical activity planning session with a healthcare professional (HCP). Subsequently both HCPs and participants were interviewed. In part two, findings from part one were presented to HCPs in a card-sorting workshop to corroborate findings and identify information needs of HCPs alongside patient journeys and clinical workflows. Our outcomes highlight HCP information needs around patient risk factors, vital signs, and adherence to physical activity. Enablers for PGHD integration include adaptive data sense-making, standardization and organizational support for integration. Barriers include lack of time, data quality, trust and liability concerns. Our research highlights implications for designing digital health technologies that support PGHD in physical activity planning during cardiac rehabilitation.

Towards Data-Enabled Physical Activity Planning: An Exploratory Study of HCP Perspectives On The Integration Of Patient-Generated Health Data

TL;DR

This study investigates how patient-generated health data (PGHD) from wearables can be integrated into physical activity planning within cardiovascular rehabilitation. Using a two-part formative design (Part 1 with healthy participants and Part 2 with HCPs in a card-sorting workshop), the authors uncover HCP information needs, potential workflow adaptations, and multi-level barriers and enablers. Key contributions include design implications for data quality indicators, standardized interfaces, glance-able dashboards, and AI-augmented sense-making to support SDM. The findings highlight the importance of contextualized, flexible tools that align with clinical workflows and address organizational, legal, and data-literacy considerations, paving the way for patient-centered PGHD-enabled PA planning in cardiac care.

Abstract

Physical activity planning is an essential part of cardiovascular rehabilitation. Through a two-part formative design exploration, we investigated integrating patient-generated health data (PGHD) into clinical workflows supporting shared decision-making (SDM) in physical activity planning. In part one, during a two-week situated study, to reduce risk of working with cardiovascular disease patients, we recruited healthy participants who self-tracked health and physical activity data and attended a physical activity planning session with a healthcare professional (HCP). Subsequently both HCPs and participants were interviewed. In part two, findings from part one were presented to HCPs in a card-sorting workshop to corroborate findings and identify information needs of HCPs alongside patient journeys and clinical workflows. Our outcomes highlight HCP information needs around patient risk factors, vital signs, and adherence to physical activity. Enablers for PGHD integration include adaptive data sense-making, standardization and organizational support for integration. Barriers include lack of time, data quality, trust and liability concerns. Our research highlights implications for designing digital health technologies that support PGHD in physical activity planning during cardiac rehabilitation.

Paper Structure

This paper contains 46 sections, 11 figures.

Table of Contents

  1. Introduction
  2. Research Questions
  3. Background and Related Work
  4. Physical Activity Planning in Cardiovascular Rehabilitation
  5. Personal Informatics Across the Chronic Care Continuum
  6. Data Work and Collaboration in Healthcare
  7. Research gap and motivation
  8. Method
  9. Investigating the Context: Stakeholders and Technology
  10. Part 1
  11. Recruitment and Study Setup
  12. Observation of physical activity planning sessions
  13. Interviews with Participants and HCPs
  14. Analysis
  15. Part 2
  16. ...and 31 more sections

Figures (11)

  • Figure 1: Flow, key elements and methods for the two-part study process.
  • Figure 2: Impressions from observed consultation sessions between participants and HCPs.
  • Figure 3: Artifacts for the card sorting activity with example scenario.
  • Figure 4: HCP perspectives on barriers and enablers of PGHD at different levels of the NASSS Framework.
  • Figure 5: Scenario 1: Information that patients can reflect on before consultation
  • ...and 6 more figures