Evidence map›Paper›PMID 37645198›Full record

ArticleOpen research Europe2021

A reflection on participatory research methodologies in the light of the COVID-19 - lessons learnt from the European Research Project TRIPS.

Alexandra König, Tally Hatzakis, Alexey Aliaksei Andrushevich, Evert-Jan Hoogerwerf, Elvia Vasconcelos, Carolina Launo, Laura Alčiauskaitė, Steven Barbosa, Kristina Andersen

Abstract readCase Reports
In one paragraph

Article in Open research Europe, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

9 authors.

Alexandra KönigGerman Aerospace Center (DLR), Braunschweig, Germany.ORCID https://orcid.org/0000-0001-6332-3817
Tally HatzakisTrilateral Research, Waterford, Ireland.ORCID https://orcid.org/0000-0002-6014-8117
Alexey Aliaksei AndrushevichAAATE, Linz, Austria.ORCID https://orcid.org/0000-0001-7138-8872
Evert-Jan HoogerwerfAAATE, Linz, Austria.
Elvia VasconcelosTechnical University of Eindhoven, Eindhoven, The Netherlands.
Carolina LaunoTBridge, Bologna, Italy.ORCID https://orcid.org/0000-0002-5642-043X
Laura AlčiauskaitėEuropean Network of Independent Living (ENIL), Brussels, Belgium.
Steven BarbosaUITP, Brussels, Belgium.
Kristina AndersenTechnical University of Eindhoven, Eindhoven, The Netherlands.ORCID https://orcid.org/0000-0002-2639-2175

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The coronavirus disease (COVID-19) outbreak has had considerable impacts on research projects, particularly those adopting participatory approaches. This paper reflects on the methodological adaptations employed by the European research project TRIPS to facilitate co-design and open innovation practices towards the development of accessible mobility solutions. The article reports how the methods were adapted to facilitate participatory research with almost no physical meetings. In doing so, the paper presents the alternative 'distanced-based' participatory approaches employed to engage users with disabilities and institutional stakeholders in the transport ecosystem, like online workshops, social media content analysis, online surveys and peer-to-peer telephone interviews. Lessons learnt and practical guidelines for distance-based participatory research are presented and discussed with the aim of increasing resilience in the light of future changes.

Indexed as

accessibilityco-creationCOVID-19participatory research

Identifiers

PMID37645198
PMCPMC10446030

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.