Evidence map›Paper›PMID 42393345›Full record

ArticleCommunity mental health journal2026

From Stigma to Recognition in Dual Diagnosis Care: A Multilevel Conceptual Framework.

Karl Yngvar Dale, Siv Elin Nord Sæbjørnsen, Atle Ødegård

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Article in Community mental health journal, 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.

Karl Yngvar DaleMolde University College, Molde, Norway. karl.y.dale@himolde.no.ORCID https://orcid.org/0000-0002-5565-7275
Siv Elin Nord SæbjørnsenMolde University College, Molde, Norway.
Atle ØdegårdMolde University College, Molde, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

People experiencing co-occurring mental health problems and substance use disorders face some of the most fundamental challenges in contemporary mental health and addiction services. Despite longstanding policy commitments to integrated care, dual diagnosis care remains characterized by persistent fragmentation. Existing multilevel perspectives have advanced understanding of how stigma contributes to exclusion across healthcare systems, yet provide less guidance for explaining how continuity of care is established and sustained across interconnected institutional, organizational, and relational contexts. Drawing on a conceptual synthesis of empirical and theoretical literature, this article develops a multilevel framework integrating recognition theory, stigma theory, and ecological systems theory. The framework conceptualizes dual diagnosis care as shaped by interacting stigma- and recognition-related processes operating across macro (institutional), meso (organizational), and micro (relational) levels. Fragmentation and continuity are understood as emergent outcomes of the degree of alignment or misalignment between these processes across levels of care. Recognition is conceptualized not merely as a feature of interpersonal encounters, but as a coordinating principle through which institutional commitments, organizational arrangements, and relational practices may become aligned to support continuity, participation, legitimacy, collaboration, and trust. By extending existing multilevel perspectives beyond explanations of exclusion alone, the framework provides an analytical lens for understanding why fragmentation may persist despite policy commitments to integrated care and how continuity may emerge when recognition-supporting conditions are aligned across systems of care.

Indexed as

Dual diagnosisIntegrated careInterprofessional collaborationRecognitionStigma

Identifiers

What Socratic holds

Textmetadata
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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 Socratic graph.