Evidence map›Paper›PMID 42669188›Full record

ArticleNursing inquiry2026

Introducing a New Research Design: The Multidimensional Interpretative Textual (MIT) Design. Epistemological and Methodological Foundations.

Mariachiara Figura, Paola Arcadi, Ercole Vellone

Abstract read
In one paragraph

Article in Nursing inquiry, 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

3 authors.

Mariachiara FiguraDepartment of Maternal and Child Health Promotion, Internal Medicine & Specialties of Excellence 'G. D'Alessandro' (PROMISE), University of Palermo, Palermo, Italy.ORCID https://orcid.org/0000-0001-8204-0564
Paola ArcadiBachelor School of Nursing, ASST Melegnano e della Martesana, University of Milan, Milano, Italy.ORCID https://orcid.org/0000-0003-1050-4707
Ercole VelloneDepartment of Biomedicine and Prevention, University of Rome 'Tor Vergata', Rome, Italy.ORCID https://orcid.org/0000-0003-4673-7473

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Contemporary nursing research increasingly generates large and complex textual corpora from interviews, open-ended surveys, clinical documentation, policy discourse and professional narratives. Although these materials contain rich representations of professional reasoning, organisational dynamics and patient experiences, their analysis remains largely confined to thematic qualitative approaches or variable-based quantitative models, which may struggle to examine how meanings are organised across extensive corpora. This article introduces the Multidimensional Interpretative Textual (MIT) design as an epistemological and methodological framework for corpus-based discourse analysis in nursing research, rather than a specific analytical technique or software procedure. The MIT design conceptualises discourse as a structured empirical object and examines textual data at the corpus level. By integrating multidimensional statistical formalisation with interpretive reasoning, it renders patterns in the organisation of meanings empirically observable before theoretical significance is attributed to them. The article outlines the design's epistemological foundations, analytical object and research logic and proposes principles of methodological rigour, including analytical-interpretive separation, corpus structural adequacy, procedural traceability, interpretive arguability, structural-interpretive proportionality and theoretical interpretive transferability. The MIT design thus provides nursing science with a coherent research architecture for examining and comparing recurring patterns of meaning, professional reasoning and organisational logics across empirical contexts.

Indexed as

KnowledgeNursing ResearchResearch DesignHumansQualitative Research

Identifiers

PMID42669188
PMCPMC13526435

What OpenQuestion holds

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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.