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A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program

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The Influence of Personal Health Data on the Health Coaching Process.

Heleen Rutjes¹, Martijn C Willemsen¹, Milou A Feijt¹

¹Human-Technology Interaction Group, Eindhoven University of Technology, Eindhoven, Netherlands.

Frontiers in Big Data

|July 1, 2022

Summary

Health data from wearable devices and apps are increasingly common in coaching. Effective use requires client collaboration to interpret data, enhancing coach-client communication and actionable insights.

Keywords:

coach-client communication coach-client relation collaborative reflection health coaching health data personal informatics user study wearables

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Last Updated: Sep 6, 2025

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Published on: July 27, 2018

Area of Science:

Human-Computer Interaction
Health Informatics
Behavioral Science

Background:

Widespread use of wearable devices and health apps generates client health data.
Health coaches increasingly encounter clients with personal health data.
Potential exists for data to enhance coaching objectivity and specificity.

Purpose of the Study:

To investigate the utilization of client-generated health data in coaching sessions.
To understand how data impact the coaching process and coach-client communication.
To identify challenges and facilitators in data-driven health coaching.

Main Methods:

Conducted a workshop with 12 coaches and 3 clients.
Performed a field study observing 5 coaches and 6 clients in data-enriched sessions.
Utilized qualitative and quantitative analysis of observed coach-client interactions.

Main Results:

Health data are not 'plug-and-play'; interpretation and contextualization are crucial.
Clients play a key role in deriving actionable insights from their health data.
Data influence both the content and relational dynamics of coach-client communication.

Conclusions:

Effective integration of health data in coaching requires a collaborative interpretation process.
Client involvement is essential for transforming raw data into meaningful coaching insights.
Design recommendations for e-health technology should support this interpretative process.