Understanding challenges in prehabilitation for patients with multiple chronic conditions

Haining Zhu, Zachary Moffa, Xiying Wang, Saeed Abdullah, Juxihong Julaiti, John Carroll

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

Little has been done to understand what challenges surgical patients face before surgery. Specifically, patients with multiple chronic conditions (MCC) often require prehabilitation-pre-surgery steps to improve baseline levels of health parameters required for surgery. Prehabilitation can improve health-care outcomes, reduce costs, and decrease readmissions. However, prehabilitation can be challenging for MCC patients since they need to balance chronic conditions with surgical preparation. Unsuccessful prehabilitation adherence can result in serious medical consequences including postponed surgeries and post-operative complications. In this work, we explore prehabiliation challenges faced by patients with MCC and identify opportunities for technological interventions by conducting a qualitative study of online health forum posts from 154 users. Using this data, we identified categories of patients' needs and challenges during prehabilitation.Based on our findings, we propose design recommendations to better support prehabilitation for patients with MCC.

Original languageEnglish (US)
Title of host publicationProceedings of the 12th EAI International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2018
PublisherAssociation for Computing Machinery
Pages138-147
Number of pages10
ISBN (Electronic)9781450364508
DOIs
StatePublished - May 21 2018
Event12th EAI International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2018 - New York, United States
Duration: May 21 2018May 24 2018

Publication series

NameACM International Conference Proceeding Series

Other

Other12th EAI International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2018
CountryUnited States
CityNew York
Period5/21/185/24/18

All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

Fingerprint Dive into the research topics of 'Understanding challenges in prehabilitation for patients with multiple chronic conditions'. Together they form a unique fingerprint.

  • Cite this

    Zhu, H., Moffa, Z., Wang, X., Abdullah, S., Julaiti, J., & Carroll, J. (2018). Understanding challenges in prehabilitation for patients with multiple chronic conditions. In Proceedings of the 12th EAI International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2018 (pp. 138-147). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3240925.3240959