Evidence map›Paper›PMID 39673094›Full record

ArticleHealth expectations : an international journal of public participation in health care and health policy2024

Participatory Development of an International Information Brochure on the Multimodal Assessment of Disorders of Consciousness.

Melissa Hohl, Lina Willacker, Theresa Marie Raiser, Martin Justinus Rosenfelder, Katja Kuehlmeyer, Marta Bassi, Angela Comanducci, Chiara Valota, Jacobo Diego Sitt, Andreas Bender

Abstract read
In one paragraph

Article in Health expectations : an international journal of public participation in health care and health policy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Making Room for Every Voice: Reimagining Person-Centred Care in the Neurosciences.Health expectations : an international journal of public participation in health care and health policy · 2025
    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

10 authors.

Melissa HohlInstitute for Medical Information Processing, Biometry, and Epidemiology - IBE, LMU Munich, Munich, Germany.
Lina WillackerDepartment of Neurology, LMU University Hospital, LMU Munich, Munich, Germany.ORCID 0000-0002-6532-5725
Theresa Marie RaiserDepartment of Neurology, LMU University Hospital, LMU Munich, Munich, Germany.
Martin Justinus RosenfelderDepartment of Neurology, LMU University Hospital, LMU Munich, Munich, Germany.
Katja KuehlmeyerInstitute of Ethics, History and Theory of Medicine, LMU Munich, Munich, Germany.
Marta BassiDepartment of Biomedical and Clinical Sciences, University of Milano, Milan, Italy.
Angela ComanducciIRCCS Fondazione Don Carlo Gnocchi ONLUS, Milan, Italy.
Chiara ValotaDepartment of Biomedical and Clinical Sciences, University of Milano, Milan, Italy.
Jacobo Diego SittInstitut du Cerveau - Paris Brain Institute - ICM, Sorbonne Université, Inserm, CNRS, Paris, France.
Andreas BenderDepartment of Neurology, LMU University Hospital, LMU Munich, Munich, Germany.

Funding

This project is an investigator-led study and is part of the multicentric application for the EU ERAPerMed Joint Translational Call for Proposals for 'Personalised Medicine: Multidisciplinary research towards implementation' (ERA PerMed JTC2019). It is funded by local funding agencies of the participating countries (France: Agence Nationale de Recherche ANR, funding code: ANR-19-PERM-0002; Italy: Fondazione Regionale per la Ricerca Biomedica, project ERAPERMED2019-101, funding code: GA 779282; Germany: Federal Ministry of Education and Research BMBF, funding code: 01KU2003). This work was also supported by the Italian Ministry of Health (Ricerca Corrente 2022-2024).
6 · The paper itself

Abstract

backgroundDisorders of consciousness (DoC) refers to a group of clinical conditions of altered consciousness. To improve their diagnosis and prognosis, multimodal assessment can be of great importance. Informal caregivers of people with DoC who are confronted with new technologies as such can benefit from interventions to expand their health literacy, i.e., the ability to use information to make health decisions for oneself and others.

methodsWe developed an information brochure on multimodal assessment for DoC in a participatory process, with decisions made by a steering group. The process was based on a methodological framework for the development of patient decision aids that built on the International Patient Decision Aid Standards (IPDAS).

resultsOn the background of a broad variety of needs, the priority was to focus on the explanation of multimodal testing and provide information about its uncertainty. Its development aimed at enhancing informal caregivers' understanding of implications of results from multimodal assessment and its relevance for prognosis. It should avoid the portrayal of information that could lead to the impression of false hope or suboptimal rehabilitation care. Informal caregivers rated its usability and acceptability highly, though they preferred less technical language.

conclusionThe participatory process was crucial to the project. Future studies should investigate the effectiveness of the brochure in fostering informal caregivers' health literacy. PATIENT OR PUBLIC CONTRIBUTION: Informal caregivers of people with DoC were deliberately included in the steering group and they participated in a field test of the prototype brochure.

Indexed as

CaregiversConsciousness DisordersHealth LiteracyPamphletsAdultDecision Support TechniquesFemaleHumansMaleMiddle Ageddisorders of consciousnessfamily memberhealth literacyinformal caregiverinformation brochuremultimodal assessmentneurorehabilitation

Identifiers

PMID39673094
PMCPMC11645296

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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.