Evidence map›Paper›PMID 40598309›Full record

ArticleTrials2025

Achieving equitable recruitment through inclusive protocol design: lessons learned from the ILANA study.

Rosalie Hayes, Melanie Smuk, Bakita Kasadha, Nishat Halim, Vanessa Apea, Sara Paparini, Chloe M Orkin, ILANA study group

Abstract read
In one paragraph

Article in Trials, 2025. 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

8 authors.

Rosalie HayesWolfson Institute of Population Health, Queen Mary University of London, London, UK.ORCID http://orcid.org/0000-0003-4046-4101
Melanie SmukSHARE Collaborative, Queen Mary University of London, London, UK.
Bakita KasadhaNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Nishat HalimSHARE Collaborative, Queen Mary University of London, London, UK.
Vanessa ApeaWolfson Institute of Population Health, Queen Mary University of London, London, UK.
Sara PapariniWolfson Institute of Population Health, Queen Mary University of London, London, UK.ORCID http://orcid.org/0000-0002-1909-2481
Chloe M OrkinSHARE Collaborative, Queen Mary University of London, London, UK. c.m.orkin@qmul.ac.uk.ORCID http://orcid.org/0000-0001-6168-6745
ILANA study group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The importance of conducting inclusive research is well-established, yet recruiting a sample which reflects the distribution of a disease or condition within a target population has proven elusive for many triallists. We draw on our experiences of achieving inclusive recruitment through the intentional protocol design and delivery in the ILANA (Implementing Long-Acting Novel Antiretrovirals) study to highlight some tangible steps that could be extrapolated to trials to aid inclusive recruitment to research and produce findings which can contribute to tackling health inequities. These include the importance of meaningful public involvement from start to finish, drawing on existing data to determine appropriate targets, factoring targets into analysis plans through pre-specified analyses and triangulation with qualitative data, and making targets mandatory (rather than aspirational) through a range of strategies. We believe ILANA offers a proof of concept for triallists seeking to radically improve representation and conduct more equitable RCTs that engage all those who could benefit.

Indexed as

HIV InfectionsPatient SelectionRandomized Controlled Trials as TopicResearch DesignHealthcare DisparitiesHumansHealth equityHIVInclusive recruitmentPublic patient involvementRandomised trials

Identifiers

PMID40598309
PMCPMC12211349

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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 Socratic graph.