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Health information technology to support cancer survivorship care planning: A systematic review.

Authors
  • Mikles, Sean P1
  • Griffin, Ashley C2
  • Chung, Arlene E1, 2, 3, 4, 5
  • 1 Lineberger Comprehensive Cancer Outcomes Program, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
  • 2 Carolina Health Informatics Program, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
  • 3 Division of General Medicine and Clinical Epidemiology, Department of Medicine, UNC School of Medicine, Chapel Hill, North Carolina, USA.
  • 4 Division of General Pediatrics and Adolescent Medicine, Department of Pediatrics, UNC School of Medicine, Chapel Hill, North Carolina, USA.
  • 5 Program on Health and Clinical Informatics, UNC School of Medicine, Chapel Hill, North Carolina, USA.
Type
Published Article
Journal
Journal of the American Medical Informatics Association
Publisher
Oxford University Press
Publication Date
Sep 18, 2021
Volume
28
Issue
10
Pages
2277–2286
Identifiers
DOI: 10.1093/jamia/ocab134
PMID: 34333588
Source
Medline
Keywords
Language
English
License
Unknown

Abstract

The study sought to conduct a systematic review to explore the functions utilized by electronic cancer survivorship care planning interventions and assess their effects on patient and provider outcomes. Based on PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) guidelines, studies published from January 2000 to January 2020 were identified in PubMed, CINAHL, EMBASE, PsychINFO, Scopus, Web of Science, and the ACM Digital Library . The search combined terms for cancer, survivorship, care planning, and health information technology (HIT). Eligible studies evaluated the effects of a HIT intervention on usability, knowledge, process, or health-related outcomes. A total of 578 abstracts were reviewed, resulting in 60 manuscripts describing 40 studies. Thematic analyses were used to define meta-themes of system functions, and Fisher's exact tests were used to examine associations between functions and outcomes. Patients were the target end users for 18 interventions, while 12 targeted providers and 10 targeted both groups. Interventions used patient-reported outcomes collection (60%), automated content generation (58%), electronic sharing (40%), persistent engagement (28%), and communication features (20%). Overall, interventions decreased the time to create survivorship care plans (SCPs) and supported care planning knowledge and abilities, but results were mixed for effects on healthcare utilization, SCP sharing, and provoking anxiety. Persistent engagement features were associated with improvements in health or quality-of-life outcomes (17 studies, P = .003). Features that engaged users persistently over time were associated with better health and quality-of-life outcomes. Most systems have not capitalized on the potential of HIT to share SCPs across a care team and support care coordination. © The Author(s) 2021. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: [email protected]

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