CoChat
Sign Up
Cited by 86Mobile Health and mHealth ApplicationsDigital Mental Health InterventionsInnovative Human-Technology Interaction

Empowering Citizens for Well-being and Chronic Disease Management With Wellness Diary

Mattila, E., Korhonen, I., Salminen, J.H., Ahtinen, A., Koskinen, E., Sarela, A., Parkka, J., Lappalainen, R.·2010·IEEE Transactions on Information Technology in Biomedicine
DOI 10.1109/titb.2009.2037751
Open this paper in CoChat — free account

Abstract

Chronic conditions closely related to lifestyles are the major cause of disability and death in the developed world. Behavior change is the key to managing well-being and preventing and managing chronic diseases. Wellness diary (WD) is a mobile application designed to support citizens in learning about their behavior, and both making and maintaining behavior changes. WD has been found acceptable, useful, and suitable for long-term use as a part of an intervention. When used independently, however, it does not seem to have enough engaging and motivating features to support adoption and long-term commitment. The main improvement needs identified based on a review of WD-related studies were: personalization of the application to individual needs, increasing motivation during early use, maintaining motivation, and aiding in relapse recovery in long-term use. We present concepts to improve the personalization of WD as well as improvements to the feedback and interpretation of the self-observation data. We also present usage models on how this type of mobile application could be utilized.

Integrity signals

Registry

Crossref · 10.1109/titb.2009.2037751

Cites

41 of 41 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • The Few Touch application was equipped with neither "push" factors nor an advanced decision support system providing feedback based on accumulated data and other personal profiles.

    “The application was equipped with neither “push” factors nor an advanced decision support system providing feedback based on accumulated data and other personal profiles, which are advocated for long-term usage, according to relevant studies [62-65].”

    From Long-Term Engagement With a Mobile Self-Management System for People With Type 2 Diabetes (2013) · cites this paper as [63]

  • Relevant studies advocate push factors and an advanced decision support system providing feedback based on accumulated data and other personal profiles for long-term usage.

    “The application was equipped with neither “push” factors nor an advanced decision support system providing feedback based on accumulated data and other personal profiles, which are advocated for long-term usage, according to relevant studies [62-65].”

    From Long-Term Engagement With a Mobile Self-Management System for People With Type 2 Diabetes (2013) · cites this paper as [63]

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Related

Authors
Mattila, E., Korhonen, I., Salminen, J. H., Ahtinen, A., Koskinen, E., Sarela, A., Parkka, J., & Lappalainen, R.
Affiliations
  • VTT Technical Research Centre of Finland (FI)
  • Nokia (Finland) (FI)
  • University of Jyväskylä (FI)
ORCID
Venue
IEEE Transactions on Information Technology in Biomedicine
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Published
2010-03
Volume
14
Issue
2
Pages
456-463
ISSN
1089-7771 (ISSN-L)
DOI
10.1109/titb.2009.2037751
OpenAlex
W2114312645
Cited by
86
References
41
Citations by year
2024: 1 · 2023: 3 · 2022: 2 · 2021: 4 · 2020: 3 · 2019: 4 · 2018: 3 · 2017: 8 · 2016: 9 · 2015: 7 · 2014: 13 · 2013: 14 · 2012: 5
FWCI
9.05
Type
journal article
Language
en
Open access
closed
Licence
ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html (vor)
Locations
  • IEEE Transactions on Information Technology in Biomedicine (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
  • Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
  • Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
Keywords
mobile health apps, chronic disease management, behavior change, self-monitoring, personalization, user motivation, relapse prevention, feedback interpretation, usage models, citizen empowerment, well-being
MeSH terms
Adult, Behavior Therapy, Humans, Medical Informatics Applications, Medical Records, Middle Aged, Models, Theoretical, Rehabilitation, Self Care, Software, Weight Loss, Cognitive Behavioral Therapy, Disease Management

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review