Blog
About

  • Record: found
  • Abstract: found
  • Article: not found

Developing a model for understanding patient collection of observations of daily living: A qualitative meta-synthesis of the Project HealthDesign Program.

Read this article at

ScienceOpenPublisherPMC
Bookmark
      There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

      Abstract

      We conducted a meta-synthesis of five different studies that developed, tested, and implemented new technologies for the purpose of collecting Observations of Daily Living (ODL). From this synthesis, we developed a model to explain user motivation as it relates to ODL collection. We describe this model that includes six factors that motivate patients' collection of ODL data: usability, illness experience, relevance of ODLs, information technology infrastructure, degree of burden, and emotional activation. We show how these factors can act as barriers or facilitators to the collection of ODL data and how interacting with care professionals and sharing ODL data may also influence ODL collection, health-related awareness, and behavior change. The model we developed and used to explain ODL collection can be helpful to researchers and designers who study and develop new, personal health technologies to empower people to improve their health.

      Related collections

      Author and article information

      Affiliations
      [1 ] Department of Family Medicine, Oregon Health & Science University, 3181 SW Sam Jackson Park Road, FM, Portland, Oregon 97239.
      [2 ] Department of Informatics, Donald Bren School of Information and Computer Sciences, University of California, Irvine, Irvine, California 92697.
      [3 ] Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, 3181 SW Sam Jackson Park Road, FM, Portland, Oregon 97239.
      [4 ] University of Texas School of Biomedical Informatics at Houston, UT - Memorial Hermann Center for Healthcare Quality & Safety, 6410 Fannin St., UTPB 1100.43, Houston, TX 77030.
      Journal
      Pers Ubiquitous Comput
      Personal and ubiquitous computing
      1617-4909
      1617-4909
      Jan 1 2015
      : 19
      : 1
      26949381 10.1007/s00779-014-0804-1 4774561 NIHMS762479

      Comments

      Comment on this article