Evidence map›Paper›PMID 36367148›Full record

ArticleInternational journal of technology assessment in health care2022

A model to assess the impact of digital technologies on the health-related quality of life.

Jannik Lockl, Doreen Schick, Jens-Christian Stoetzer, Katrin Huff

Abstract read
In one paragraph

Article in International journal of technology assessment in health care, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Review
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

4 authors.

Jannik LocklFIM Research Center, University of Bayreuth, Bayreuth, Germany.ORCID https://orcid.org/0000-0003-0077-8579
Doreen SchickBranch Business & Information Systems Engineering of the Fraunhofer FIT, Bayreuth, Germany.ORCID https://orcid.org/0000-0002-4778-2463
Jens-Christian StoetzerFIM Research Center, University of Bayreuth, Bayreuth, Germany.ORCID https://orcid.org/0000-0002-4836-4562
Katrin HuffFIM Research Center, University of Bayreuth, Bayreuth, Germany.

Funding

World Health Organization 001
6 · The paper itself

Abstract

objectivesHealth-related quality of life (HRQoL) is a vital instrument to account for individuals' well-being in various settings. However, no model of HRQoL allows for examining the effect of digital technology on HRQoL. Therefore, we extend an established HRQoL model by adding a digital technology-related construct. We refer to this extension as the technology-affected health-related quality of life (TA-HRQoL).

methodsWe investigate the extended TA-HRQoL model through a survey. In the survey, we exemplify the use of digital technology through a device for self-managing bladder dysfunction. Hence, we explore whether the model extension proposed is valid and how determinants of the HRQoL affect patients with bladder dysfunction.

resultsThe results indicate that the use of digital technology improves the HRQoL. In our exemplary use scenario, the digital technology decreases bladder-related functional impairments and increases well-being and life satisfaction directly.

conclusionsOur study may provide evidence for the influence of digital technologies on the HRQoL, thus supporting our model extension. We consider our proposed TA-HRQoL model as valid and as useful to account for the influence of digital technology on an individual's HRQoL. With the TA-HRQoL model, the impact of a digital technology on an individual's HRQoL can be assessed.

Indexed as

Digital TechnologyQuality of LifeHumansSurveys and Questionnairesdigital technologiesHRQoLimpact assessmentmodel development

Identifiers

PMID36367148
PMCPMC7614931

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.