Challenges when engaging diabetic patients and their clinicians in using e-health technologies to improve clinical outcomes

Brian Dixon, Abdulrahman Mohammed Jabour, Erin O'Kelly Phillips, David Marrero

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

Abstract

Diabetes mellitus (DM) is a chronic disease affecting more than 285 people worldwide and the fourth leading cause of death. Increasing evidence suggests that many DM patients have poor adherence with prescribed medication therapies, impacting clinical outcomes. Patients' barriers to medication adherence and the extent to which barriers contribute to poor outcomes, however, are not routinely assessed. We designed a dashboard for an electronic health record system to integrate DM disease and medication data, including patient-reported barriers to adherence. The dashboard was pilot tested at multiple ambulatory clinics to examine whether integrated electronic tools can support patient-centered decision-making processes involving complex medication regimens for DM and other chronic diseases. During pilot testing, we encountered several challenges when engaging patients and clinicians in using the dashboard as well as a portal used to gather self-reported psychosocial information directly from patients. In this paper we explore those challenges and suggest methods for better supporting the adoption and use of e-health technologies to improve care delivery processes as well as health outcomes for populations like diabetic patients.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages238-247
Number of pages10
Volume8515 LNCS
EditionPART 3
ISBN (Print)9783319074450
DOIs
StatePublished - 2014
Event8th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2014 - Held as Part of 16th International Conference on Human-Computer Interaction, HCI International 2014 - Heraklion, Greece
Duration: Jun 22 2014Jun 27 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 3
Volume8515 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other8th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2014 - Held as Part of 16th International Conference on Human-Computer Interaction, HCI International 2014
CountryGreece
CityHeraklion
Period6/22/146/27/14

Fingerprint

Diabetes Mellitus
Medical problems
Health
Chronic Disease
Electronics
Therapy
Decision making
Decision Making
Integrate
Testing

Keywords

  • Computerized Medical Records Systems
  • Drug Monitoring
  • Medication Adherence
  • Patient-Centered Care
  • Personal Health Records
  • Physician-Patient Relations
  • Type 2 Diabetes Mellitus

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Dixon, B., Jabour, A. M., O'Kelly Phillips, E., & Marrero, D. (2014). Challenges when engaging diabetic patients and their clinicians in using e-health technologies to improve clinical outcomes. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (PART 3 ed., Vol. 8515 LNCS, pp. 238-247). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8515 LNCS, No. PART 3). Springer Verlag. https://doi.org/10.1007/978-3-319-07446-7_23

Challenges when engaging diabetic patients and their clinicians in using e-health technologies to improve clinical outcomes. / Dixon, Brian; Jabour, Abdulrahman Mohammed; O'Kelly Phillips, Erin; Marrero, David.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 8515 LNCS PART 3. ed. Springer Verlag, 2014. p. 238-247 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8515 LNCS, No. PART 3).

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

Dixon, B, Jabour, AM, O'Kelly Phillips, E & Marrero, D 2014, Challenges when engaging diabetic patients and their clinicians in using e-health technologies to improve clinical outcomes. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 3 edn, vol. 8515 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 3, vol. 8515 LNCS, Springer Verlag, pp. 238-247, 8th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2014 - Held as Part of 16th International Conference on Human-Computer Interaction, HCI International 2014, Heraklion, Greece, 6/22/14. https://doi.org/10.1007/978-3-319-07446-7_23
Dixon B, Jabour AM, O'Kelly Phillips E, Marrero D. Challenges when engaging diabetic patients and their clinicians in using e-health technologies to improve clinical outcomes. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 3 ed. Vol. 8515 LNCS. Springer Verlag. 2014. p. 238-247. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 3). https://doi.org/10.1007/978-3-319-07446-7_23
Dixon, Brian ; Jabour, Abdulrahman Mohammed ; O'Kelly Phillips, Erin ; Marrero, David. / Challenges when engaging diabetic patients and their clinicians in using e-health technologies to improve clinical outcomes. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 8515 LNCS PART 3. ed. Springer Verlag, 2014. pp. 238-247 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 3).
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