Evidence map›Paper›PMID 34422279›Full record

ArticleDigital health

Participant views and experiences of sexual health research: The

Julia V Bailey, Kirsty F Bennett, Anasztazia Gubijev, Jill Shawe, Judith Stephenson

Open access · goldAbstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 21% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
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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 at 4 institutions in 1 country.

Julia V Baileye-Health Unit, Department of Primary Care and Population Health, University College London, UK.ORCID https://orcid.org/0000-0002-5001-0122
Kirsty F BennettCancer Communication and Screening Group, Department of Behavioural Science & Health, University College London, UK.ORCID https://orcid.org/0000-0003-1448-3034
Anasztazia GubijevLondon School of Hygiene and Tropical Medicine, London, UK.
Jill ShaweFaculty of Health, University of Plymouth, UK.
Judith StephensonUCL Elizabeth Garrett Anderson Institute for Women's Health, University College London, UK.ORCID https://orcid.org/0000-0002-8852-0881
University College London · GBLondon School of Hygiene & Tropical Medicine · GBUniversity College Hospital · GBUniversity of Plymouth · GB

Funding

Medical Research Council G0701749
6 · The paper itself

Abstract

backgroundOnline sexual health research can be convenient, efficient and low cost, but there are debates about the adequacy of online informed consent, privacy, and the acceptability of different methods of follow-up.

objectivesTo explore women's views and experiences of the

methodsWe analysed data from two sources: (1)

resultsParticipants liked being involved in a study about contraception, although recruitment from an abortion clinic was less acceptable than in other sexual health settings. Women found the trial procedures straightforward, and expressed no major concerns about online self-registration, informed consent or online data collection. Online survey questions about contraception and fertility were acceptable, and participants liked the convenience of being followed up by email or text.

conclusionsParticipants appreciated the advantages of the online research design and did not express concerns about consent or privacy. Women would welcome digital interventions for contraception in a variety of settings.

Indexed as

Digital healtheHealthqualitativereproductive healthsexual healthwomen's health

Identifiers

PMID34422279
PMCPMC8370889
OpenAlexW3195978790

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.