Evidence map›Paper›PMID 40791265›Full record

ArticleBMJ public health2025

Determinants of influenza vaccination uptake among older adults in Catalonia using a longitudinal population study: the role of public health campaigns.

Toni Mora, Montserrat Martinez-Marcos, Carmen Cabezas

Abstract read
In one paragraph

Article in BMJ public health, 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

3 authors.

Toni MoraUniversitat Internacional de Catalunya, Barcelona, Spain.ORCID https://orcid.org/0000-0002-2686-5307
Montserrat Martinez-MarcosPublic Health Secretariat, Department of Health, Generalitat de Catalunya, Barcelona, Spain.ORCID https://orcid.org/0009-0007-3390-8372
Carmen CabezasPublic Health Secretariat, Department of Health, Generalitat de Catalunya, Barcelona, Spain.ORCID https://orcid.org/0000-0002-4291-0454

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: This study examines the impact of influenza vaccination campaigns on the probability of immunisation among older adults in Catalonia, Spain. Methods: A population-based cohort study was conducted using the Catalan administrative and health dataset. Longitudinal data on healthcare resource use for individuals born before 1965 in Catalonia were used to compute descriptive statistics and concentration measures. A Regression Discontinuity Design (RDD) was performed to calculate the jump in the probability of becoming vaccinated. The database covers administrative data from primary care, hospitalisations and emergency care in the national health system from January 2014 to October 2021. Results: Significant differences were found across age groups, gender, drug copayment levels and nationality, and these differences were corroborated through concentration measures conditioned on health status. The RDD indicates a 4.78% increase in the probability of vaccination at the age at which vaccines were offered (60 years old), with the main differences observed among individuals from lower-income levels, specific health regions and nationalities. Age, a diagnosis of influenza in the previous vaccination campaign, and particular comorbidities were factors positively associated with a higher likelihood of vaccination. Conclusions: Understanding the interplay of factors is crucial to addressing disparities and ensuring preventive measures reach vulnerable groups. Our findings have direct implications for influenza vaccination coverage among older adults, providing policymakers with valuable insights for enhancing outcomes.

Indexed as

Population SurveillanceSociodemographic FactorsVaccination

Identifiers

PMID40791265
PMCPMC12336589

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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.