Evidence map›Paper›PMID 42344015›Full record

ArticleBMJ public health2026

Assessing the association of physical distancing to avoid COVID-19 with health-related quality of life in immunocompromised adults: results from the cross-sectional observational EAGLE study.

Paul Williams, Timothy A Herring, Renata T C Yokota, Sudhir Venkatesan, Sofie Arnetorp, Johan L Severens, Philip A Powell, James C Marcus, Stephanie Philpott, Sara Bestea and 5 more

Abstract read
In one paragraph

Article in BMJ public health, 2026. 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

15 authors.

Paul WilliamsIQVIA, Courbevoie, France.
Timothy A HerringMedical Evidence, Epidemiology, Vaccine & Immune Therapies, BioPharmaceuticals Medical, AstraZeneca US, Wilmington, Delaware, USA.ORCID https://orcid.org/0000-0002-3475-8616
Renata T C YokotaEpidemiology & Pharmacovigilance, P95, Leuven, Belgium.
Sudhir VenkatesanBPM Evidence Statistics, BioPharmaceuticals Medical, AstraZeneca, Cambridge, UK.ORCID https://orcid.org/0000-0002-2093-5781
Sofie ArnetorpHealth Economic & Payer Evidence, BioPharmaceuticals Medical, AstraZeneca, Gothenburg, Sweden.ORCID https://orcid.org/0009-0004-7624-0091
Johan L SeverensSeverens HTA Consultancy, Venray, Netherlands.ORCID https://orcid.org/0000-0001-9590-0244
Philip A PowellSCHARR, University of Sheffield, Sheffield, UK.ORCID https://orcid.org/0000-0003-1169-3431
James C MarcusIQVIA, Washington, District of Columbia, USA.ORCID https://orcid.org/0000-0001-5223-4173
Stephanie PhilpottIQVIA, Reading, UK.
Sara BesteaIQVIA, Madrid, Spain.
Jeffrey M RohayIQVIA, New York, New York, USA.
Tiago MaiaIQVIA, Porto Salvo, Portugal.
Sylvia TaylorMedical Evidence, Vaccine & Immune Therapies, BioPharmaceuticals Medical, AstraZeneca, Cambridge, UK.
Marieke KrolIQVIA, Amsterdam, Netherlands.
John E WareJohn Ware Research Group, Watertown, Massachusetts, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Immunocompromised individuals have suboptimal COVID-19 vaccine responses and may continue physically distancing to avoid COVID-19. The EAGLE Study aimed to quantify physical distancing behaviours and associations with health-related quality of life (HRQoL) and related measures in immunocompromised adults. Methods: EAGLE was a cross-sectional, observational online survey study of US and UK immunocompromised adults, children and those children's caregivers, with adult analyses reported here. Multichannel enrolment and self-reported data collection occurred from December 2022 to June 2023. Immunocompromising diagnosis confirmation using medical records was requested from a randomly selected subset. Physical distancing (in past 4 weeks) was measured using the Physical Distancing Scale for COVID-19 Avoidance (PDS-C19). HRQoL and related measures were the 12-item Short Form Health Survey version 2 (SF-12v2) (includes Short-Form 6-Dimensions), Quality of Life Disease Impact Scale-7-item (QDIS-7), Direct Measure of Loneliness, EQ-5D-5L, Hospital Anxiety and Depression Scale and Work Productivity and Activity Impairment plus Classroom Impairment Questions: Specific Health Problem (WPAI+CIQ:SHP). Associations between PDS-C19 and HRQoL and related measures were assessed using Pearson correlation, linear regression (potential confounders-adjusted) and preliminary structural equation modelling (SEM). Results: 2320 immunocompromised adults fully completed the survey. Confirmation of diagnosis was requested from 27% and confirmed for 90% of responders. 68% of participants reported moderate to high physical distancing. Physical distancing had low correlations with SF-12v2-measured HRQoL domains (range |r|=0.18 to 0.39) and medium correlations with QDIS-7 (r=0.78) and WPAI+CIQ:SHP-measured activity impairment (r=0.68) and presenteeism (r=0.51). In SEM, direct PDS-C19 relationships explained most activity correlations: QDIS, β=0.46 (SE=0.02); activity impairment, β=0.40 (0.02); presenteeism, β=0.29 (0.04). Unstandardised PDS-C19 confounder-adjusted linear regression coefficients were similar to those of SEM. Conclusions: Over 3 years after COVID-19 emergence, a disproportionate number of immunocompromised adults reported substantially physically distancing to avoid COVID-19. Higher physical distancing intensities were associated with greater HRQoL impairments, suggesting such challenges coexist as ongoing concerns for immunocompromised adults.

Indexed as

COVID-19Cross-Sectional StudiesDisease OutbreaksPublic HealthVaccination

Identifiers

PMID42344015
PMCPMC13289022

What OpenQuestion holds

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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 OpenQuestion graph.