Literature DB >> 26949381

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

Deborah J Cohen1, Sara R Keller1, Gillian R Hayes2, David A Dorr3, Joan S Ash3, Dean F Sittig4.   

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.

Entities:  

Keywords:  Observations of daily living (ODLs); behavior change; mobile health tracking; patient/provider communication; smart phones; user burden; user motivation

Year:  2015        PMID: 26949381      PMCID: PMC4774561          DOI: 10.1007/s00779-014-0804-1

Source DB:  PubMed          Journal:  Pers Ubiquitous Comput        ISSN: 1617-4909            Impact factor:   3.006


  28 in total

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2.  Research data collection methods: from paper to tablet computers.

Authors:  Adam B Wilcox; Kathleen D Gallagher; Bernadette Boden-Albala; Suzanne R Bakken
Journal:  Med Care       Date:  2012-07       Impact factor: 2.983

3.  Desired features of smartphone applications promoting physical activity.

Authors:  Carolyn Rabin; Beth Bock
Journal:  Telemed J E Health       Date:  2011-10-19       Impact factor: 3.536

4.  Qualitative analysis: how to begin making sense.

Authors:  W L Miller; B F Crabtree
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5.  Evolution of a web-based, prototype Personal Health Application for diabetes self-management.

Authors:  Stephanie J Fonda; Richard J Kedziora; Robert A Vigersky; Sven-Erik Bursell
Journal:  J Biomed Inform       Date:  2010-10       Impact factor: 6.317

6.  Project HealthDesign: rethinking the power and potential of personal health records.

Authors:  Patricia Flatley Brennan; Stephen Downs; Gail Casper
Journal:  J Biomed Inform       Date:  2010-10       Impact factor: 6.317

7.  Home informatics in healthcare: assessment guidelines to keep up quality of care and avoid adverse effects.

Authors:  Kerstin Roback; Almut Herzog
Journal:  Technol Health Care       Date:  2003       Impact factor: 1.285

8.  Reading, writing and systematic review.

Authors:  Margarete Sandelowski
Journal:  J Adv Nurs       Date:  2008-10       Impact factor: 3.187

9.  Community attitudes to the appropriation of mobile phones for monitoring and managing depression, anxiety, and stress.

Authors:  Judith Proudfoot; Gordon Parker; Dusan Hadzi Pavlovic; Vijaya Manicavasagar; Einat Adler; Alexis Whitton
Journal:  J Med Internet Res       Date:  2010-12-19       Impact factor: 5.428

10.  Emerging patient-driven health care models: an examination of health social networks, consumer personalized medicine and quantified self-tracking.

Authors:  Melanie Swan
Journal:  Int J Environ Res Public Health       Date:  2009-02-05       Impact factor: 3.390

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  4 in total

1.  Integrating Patient-Generated Health Data Into Clinical Care Settings or Clinical Decision-Making: Lessons Learned From Project HealthDesign.

Authors:  Deborah J Cohen; Sara R Keller; Gillian R Hayes; David A Dorr; Joan S Ash; Dean F Sittig
Journal:  JMIR Hum Factors       Date:  2016-10-19

2.  Mixed-Methods Analysis of Factors Impacting Use of a Postoperative mHealth App.

Authors:  Aaron R Scott; Elizabeth A Alore; Aanand D Naik; David H Berger; James W Suliburk
Journal:  JMIR Mhealth Uhealth       Date:  2017-02-08       Impact factor: 4.773

3.  A Web-Based Mobile App (INTERACCT App) for Adolescents Undergoing Cancer and Hematopoietic Stem Cell Transplantation Aftercare to Improve the Quality of Medical Information for Clinicians: Observational Study.

Authors:  Anita Lawitschka; Stephanie Buehrer; Dorothea Bauer; Konrad Peters; Marisa Silbernagl; Natalia Zubarovskaya; Barbara Brunmair; Fares Kayali; Helmut Hlavacs; Ruth Mateus-Berr; David Riedl; Gerhard Rumpold; Christina Peters
Journal:  JMIR Mhealth Uhealth       Date:  2020-06-30       Impact factor: 4.773

4.  Using a Personal Health Library-Enabled mHealth Recommender System for Self-Management of Diabetes Among Underserved Populations: Use Case for Knowledge Graphs and Linked Data.

Authors:  Nariman Ammar; James E Bailey; Robert L Davis; Arash Shaban-Nejad
Journal:  JMIR Form Res       Date:  2021-03-16
  4 in total

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