Evidence map›Paper›PMID 35109836›Full record

ArticleBMC medical informatics and decision making2022

Value of normative belief in intention to use workplace health promotion apps.

Maren Junker, Markus Böhm, Mareike Franz, Tobias Fritsch, Helmut Krcmar

Abstract read
In one paragraph

Article in BMC medical informatics and decision making, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Maren JunkerDepartment of Informatics, Technical University of Munich, Boltzmannstraße 3, 85748, Garching bei München, Germany. maren.junker@tum.de.ORCID 0000-0002-6012-9928
Markus BöhmDepartment of Informatics, University of Applied Sciences Landshut, Am Lurzenhof 1, 84036, Landshut, Germany.
Mareike FranzMareike Franz, Munich, Germany.
Tobias FritschTechnical University Dresden, Dresden, Germany.
Helmut KrcmarDepartment of Informatics, Technical University of Munich, Boltzmannstraße 3, 85748, Garching bei München, Germany.ORCID 0000-0002-2754-8493

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMobile applications (apps) have started to be used for workplace health promotion (WHP). However, the factors that lead to the usage of apps in the workplace from the end-user perspective remain unclear.

methodsTo investigate the research gap, the study evaluates a model for the adoption of WHP apps by combining the theory of planned behavior, the health belief model, and the technology acceptance model. A self-administered questionnaire with validated scales among 354 participants was used to evaluate the proposed model for WHP.

resultsAlthough the study indicated a limited overall model fit, interesting aspects were derived. In particular, the study demonstrated that normative belief (especially), perceived usefulness, and attitudinal belief play important roles in the intention to use WHP apps.

conclusionThe study is among the first to validate the theoretical models of mHealth adoption for WHP. Moreover, it shows that not only normative belief but also adjustment to several target groups is a necessary factor to be considered in the development and implementation of an app for WHP.

Indexed as

Mobile ApplicationsTelemedicineHealth PromotionHumansIntentionSurveys and QuestionnairesWorkplaceAcceptanceAdoptionmHealthStructural equation modelingWorkplace health promotion

Identifiers

PMID35109836
PMCPMC8812227

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.