Evidence map›Paper›PMID 37122441›Full record

ArticleInternational journal of qualitative methods

"I didn't Notice that You Were Watching Me": Exploring a User Acceptance Study to Conduct Cultural Domain Analysis Online During the COVID-19 Pandemic.

Caroline Ackley, Diego Garcia Rodriguez, Giovanni Villa

Abstract read
In one paragraph

Article in International journal of qualitative methods. 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. 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

3 authors.

Caroline AckleyDepartment of Global Health & Infection, Brighton & Sussex Medical School, University of Sussex, Brighton, UK.ORCID https://orcid.org/0000-0003-3239-2101
Diego Garcia RodriguezDepartment of Global Health & Infection, Brighton & Sussex Medical School, University of Sussex, Brighton, UK.
Giovanni VillaDepartment of Global Health & Infection, Brighton & Sussex Medical School, University of Sussex, Brighton, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article explores the implementation process of a User Acceptance Study to evaluate the feasibility of conducting cultural domain analysis (CDA) online during the COVID-19 pandemic. We conducted 19 cultural domain analysis sessions involving three techniques: free listing, pile sorts, and rank ordering. A diverse set of participants were recruited to help assess requirements and needs that researching online involves. We found that conducting CDA online is a feasible research method that offers benefits such as generating large amounts of data, making participants feel comfortable joining sessions from a safe space, providing anonymity, reducing research costs such as time and travel, and eliciting large numbers of responses. We also identified several factors for consideration when implementing CDA online and provide recommendations for improvement, including the aesthetics of the digital software employed, user accessibility and digital literacy, participants' environments, Internet connection, and online-specific ethical issues.

Indexed as

COVID-19cultural domain analysisonline and digital researchqualitative researchuser acceptance study

Identifiers

PMID37122441
PMCPMC10116222

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.