Adaptive Health Coaching Technology for Tailored Interventions

Holly Jimison, Michael Shapiro and Misha Pavel
Additional contact information
Holly Jimison: Khoury College of Computer Sciences, Northeastern University, Boston, MA 02115, USA
Michael Shapiro: Khoury College of Computer Sciences, Northeastern University, Boston, MA 02115, USA
Misha Pavel: Khoury College of Computer Sciences, Northeastern University, Boston, MA 02115, USA

IJERPH, 2021, vol. 18, issue 5, 1-8

Abstract: Recent advances in sensor and communications technology have enabled scalable methods for providing continuity of care to the home for patients with chronic conditions and older adults wanting to age in place. In this article we describe our framework for a health coaching platform with a dynamic user model that enables tailored health coaching messages. We have shown that this can improve coach efficiency without a loss of message quality. We also discovered many lessons for coaching technology, most demonstrating the need for more coach input on sample message content, perhaps even requiring that individual coaches be able to modify the message database directly. Overall, coaches felt that the structure of the automated message generation was useful in remembering what to say, easy to edit if necessary and especially helpful for training new health coaches.

Keywords: health coaching; technology; tailored messaging (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2021
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1660-4601/18/5/2761/pdf (application/pdf)
https://www.mdpi.com/1660-4601/18/5/2761/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:18:y:2021:i:5:p:2761-:d:513407

Access Statistics for this article

IJERPH is currently edited by Ms. Jenna Liu

More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().