Cited by 36Mobile Health and mHealth ApplicationsWorkplace Health and Well-beingDigital Mental Health Interventions

Using smartphone-based applications (apps) in workplace health promotion: The opinion of German and Austrian leaders

Dunkl, Anita, Jiménez, Paul·2017·Health Informatics Journal

Abstract

Reaching the actual target group for a web-based health promotion project turns out to be a difficult task. In this article, individual and organizational factors which can influence the decision of using apps in workplace health promotion are analyzed. Furthermore, we analyzed the opinion about feedback possibilities of apps in workplace health promotion. A study with 438 leaders was conducted, as leaders can be seen as a key factor in the success of health promotion projects. The results showed that younger leaders and leaders with a more positive attitude toward workplace health promotion are more likely to use an app. Furthermore, leaders with a positive attitude are more interested in expert-feedback than in instant feedback received from an app.

Integrity signals

Registry

Crossref · 10.1177/1460458215623077

Cites

33 of 33 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?

  • An employer's provision of a health app might indicate quality of information.

    “Nevertheless, Dunkl and Jimenez (2017) criticised the lack of quality assurance associated with mHealth apps because apps can be developed by anyone without medical expertise, even though an employer’s provision of a health app might indicate quality of information [16].”
  • Dunkl and Jimenez (2017) criticised the lack of quality assurance associated with mHealth apps because apps can be developed by anyone without medical expertise.

    “Nevertheless, Dunkl and Jimenez (2017) criticised the lack of quality assurance associated with mHealth apps because apps can be developed by anyone without medical expertise, even though an employer’s provision of a health app might indicate quality of information [16].”
  • Dunkl and Jimenez (2017) criticised the lack of quality assurance associated with mHealth apps because apps can be developed by anyone without medical expertise.

    “Nevertheless, Dunkl and Jimenez (2017) criticised the lack of quality assurance associated with mHealth apps because apps can be developed by anyone without medical expertise, even though an employer’s provision of a health app might indicate quality of information [16].”

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Dunkl, A., & Jiménez, P.
Affiliations
  • University of Graz, Austria
  • University of Graz (AT)
Venue
Health Informatics Journal
Published
2016-07-25
Volume
23
Issue
1
Pages
44-55
ISSN
  • 1355-4743 (ISSN-L)
  • 1460-4582
  • 1741-2811
OpenAlex
W2267070310
Cited by
36
References
33
Citations by year
2025: 1 · 2024: 2 · 2023: 2 · 2022: 7 · 2021: 5 · 2020: 5 · 2019: 5 · 2018: 5 · 2017: 3 · 2016: 1
FWCI
8.68
Type
journal article
Language
en
Open access
closed
Locations
  • Health Informatics Journal (publishedVersion)
  • PubMed (publishedVersion)
  • Unipub UB Graz (Universität Graz) (submittedVersion)
Topics
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
  • Health Sciences › Health Professions › General Health Professions › Workplace Health and Well-being
  • Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
Keywords
mobile application, workplace health promotion, app adoption, organizational leaders, leader attitudes, feedback mechanisms, expert feedback, immediate feedback, organizational factors, target group reach
MeSH terms
Smartphone, Adult, Austria, Female, Germany, Health Promotion, Humans, Male, Middle Aged, Organizational Innovation, Workplace, Mobile Applications

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