Evidence map›Paper›PMID 41663861›Full record

ArticleCanadian journal of public health = Revue canadienne de sante publique2026

Evaluability assessment as a design tool for complex health interventions: Insights from an EU-project on vaccine hesitancy.

André Beja, Rita Morais, Cátia Sá Guerreiro, Tiago Correia

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Article in Canadian journal of public health = Revue canadienne de sante publique, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

André BejaGlobal Health and Tropical Medicine, GHTM, Associate Laboratory in Translation and Innovation Towards Global Health, LA-REAL, Instituto de Higiene e Medicina Tropical, IHMT, Universidade Nova de Lisboa, UNL, Lisbon, Portugal. andre.beja@ihmt.unl.pt.ORCID https://orcid.org/0000-0002-6135-0747
Rita MoraisGlobal Health and Tropical Medicine, GHTM, Associate Laboratory in Translation and Innovation Towards Global Health, LA-REAL, Instituto de Higiene e Medicina Tropical, IHMT, Universidade Nova de Lisboa, UNL, Lisbon, Portugal.ORCID http://orcid.org/0000-0003-0043-8785
Cátia Sá GuerreiroGlobal Health and Tropical Medicine, GHTM, Associate Laboratory in Translation and Innovation Towards Global Health, LA-REAL, Instituto de Higiene e Medicina Tropical, IHMT, Universidade Nova de Lisboa, UNL, Lisbon, Portugal.ORCID http://orcid.org/0000-0002-0505-2155
Tiago CorreiaGlobal Health and Tropical Medicine, GHTM, Associate Laboratory in Translation and Innovation Towards Global Health, LA-REAL, Instituto de Higiene e Medicina Tropical, IHMT, Universidade Nova de Lisboa, UNL, Lisbon, Portugal.ORCID http://orcid.org/0000-0001-6015-3314

Funding

H2020 Societal Challenges 965280
6 · The paper itself

Abstract

backgroundEvaluability assessment (EA), conducted independently or as part of a broader evaluation process, is performed to determine whether a program, policy, or intervention is ready and suitable for evaluation. This study explores the innovative application of EA as a design-stage tool for guiding complex health interventions. It focuses on the VAX-TRUST - Addressing Vaccine Hesitancy in Europe project, where EA was employed to design and refine interventions addressing vaccine hesitancy across seven European regions.

methodsEA was applied in a qualitative approach using an evaluability checklist. This tool facilitated iterative improvements in intervention design, implementation planning, and evaluation readiness, ensuring interventions were robust and contextually relevant. Additionally, efforts were made to qualitatively measure the impact of the evaluability assessment through an evaluability impact matrix. RESULTS AND DISCUSSION: EA significantly influenced intervention design by identifying gaps and guiding real-time adjustments. Six of the seven interventions were successfully implemented with enhanced planning for unforeseen events, showcasing the iterative benefits of EA in the design phase. The iterative nature of EA allowed for real-time adjustments that enhanced program robustness and adaptability. Insights into the checklist's gaps, such as underdeveloped resource allocation metrics, are discussed to improve future applications.

conclusionsThis work advances EA literature by demonstrating its utility in the design stage and, by reinforcing the early alignment of different components and multiple contexts, provides a replicable framework for planning complex health interventions. Future evaluators are encouraged to adopt this proactive approach for more effective public health strategies.

Indexed as

Evaluability assessmentEvaluationHealth interventionsVaccine hesitancy

Identifiers

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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.