Evidence map›Paper›PMID 42523451›Full record

ArticlemedRxiv : the preprint server for health sciences2026

A Personalized, Symptom-Based Approach to Boost Research Participation in Hospitalized Older Adults.

Nicole Ceriani, Shreya Dhar, Catherine Zhao, Ian Sherrington, Eyal Y Kimchi

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Nicole Ceriani
Shreya Dhar
Catherine Zhao
Ian Sherrington

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Delirium is common among hospitalized older adults on many clinical services and associated with poor outcomes. Given delirium's fluctuations, wearable devices are promising continuous monitors. While recruiting for a wearable electroencephalography (EEG) delirium study, we initially experienced low enrollment rates among older adults and patients on non-neurologic services. Our aim was to understand patient and community perspectives on inpatient, wearable research to adapt recruitment protocols and increase enrollment. Methods: We approached patients admitted to an academic medical center to participate in an observational, wearable EEG delirium study and recorded reasons for enrolling or declining. To gain insight into recruitment protocols, we held a community panel with patients, family members, and caregivers. Recruitment protocols were refined in two phases: 1) personalizing the recruitment approach to emphasize symptoms that were personally relevant to individual patients and 2) sharing educational materials about the study in addition to delirium. We compared enrollment rates before and after these protocol adaptations. Results: Initially, 18.5% of approached patients enrolled (68/367). Despite antecedent concerns that wearable devices would be the primary deterrent to participation, only a small proportion of people who did not participate did so because of wearable EEG (8.8%, 26/299). Community panel members (n=7) suggested that personal relevance and understanding of the clinical conditions being studied, such as delirium, would have a greater impact on decisions to participate than study procedures. Adapting recruitment protocols to highlight personally relevant delirium-related symptoms, such as sleep disturbance, significantly increased enrollment rates (30.1%, 58/188, p<0.001), including for patients over 65 years old (p<0.001) and patients on non-neurologic services (p<0.001). The addition of educational materials focused on clinical delirium did not further impact enrollment (p=0.61). Conclusions: Recruitment of older, hospitalized patients for inpatient research can be challenging, but can be significantly improved by highlighting familiar symptoms of personal relevance.

Identifiers

PMID42523451
PMCPMC13405370

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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.