Evidence map›Paper›PMID 34658493›Full record

ArticleZeitschrift fur Arbeitswissenschaft2021

[Factors influencing the intention of caregivers to use digital technologies in outpatient care - A case study examining the introduction of a textile sensor mat].

Sarah Ranjana Güsken, Katrin Frings, Faizan Zafar, Timur Saltan, Paul Fuchs-Frohnhofen, Jan Bitter-Krahe

Open access · hybridAbstract readEnglish Abstract
In one paragraph

Article in Zeitschrift fur Arbeitswissenschaft, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
3.2field-weighted citation impact, top 8% of its field
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

2 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. 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

6 authors at 1 institution in 1 country.

Sarah Ranjana GüskenCybernetics Lab IMA & IfU, RWTH Aachen University, Dennewarstr. 27, 52068 Aachen, Deutschland.
Katrin FringsCybernetics Lab IMA & IfU, RWTH Aachen University, Dennewarstr. 27, 52068 Aachen, Deutschland.
Faizan ZafarCybernetics Lab IMA & IfU, RWTH Aachen University, Dennewarstr. 27, 52068 Aachen, Deutschland.
Timur SaltanMA&T Sell & Partner GmbH, Karl-Carstens-Straße 1, 52146 Würselen, Deutschland.
Paul Fuchs-FrohnhofenMA&T Sell & Partner GmbH, Karl-Carstens-Straße 1, 52146 Würselen, Deutschland.
Jan Bitter-KraheCybernetics Lab IMA & IfU, RWTH Aachen University, Dennewarstr. 27, 52068 Aachen, Deutschland.
RWTH Aachen University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Operational processes in the care sector are becoming increasingly digitalized due to rising workload. Insufficient involvement of caregivers in this digitalization process results in poorly integrated technological developments along with a lack of technology acceptance. Therefore, in order to lay a firm foundation for successful technology development, it is utmost essential to understand the intention of professionals to use technology in outpatient care. This paper develops a model that outlines the factors influencing the intention of caregivers to use digital technologies in outpatient care, based on a case study examining the introduction of a textile sensor mat. In the developed model, the care situation is investigated for the first time as a factor influencing the intention to use digital technologies, in addition to technology acceptance. Apart from deriving the factors of the model and inspecting the strength of their influences, the practical relevance for technology developers in other care contexts is also determined.

Indexed as

DigitalizationIntention to UseOutpatient CareParticipatory Technology DevelopmentTechnology Acceptance

Identifiers

PMID34658493
PMCPMC8513561
OpenAlexW3205261009

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.