Evidence map›Paper›PMID 32528554›Full record

ArticleInternational journal of mental health systems2020

A heuristic model for collaborative practice-part 2: development of the collaborative, dialogue-based clinical practice model for community mental health and substance abuse care.

Rolf Sundet, Hesook Suzie Kim, Bengt Eirik Karlsson, Marit Borg, Knut Tore Sælør, Ottar Ness

Abstract read
In one paragraph

Article in International journal of mental health systems, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. 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

6 authors.

Rolf SundetFaculty of Health and Social Sciences, Department of Health, Social & Welfare Studies, University of South-Eastern Norway, PO Box 235, 3603 Kongsberg, Norway.
Hesook Suzie KimFaculty of Health and Social Sciences, Department of Health, Social & Welfare Studies, University of South-Eastern Norway, PO Box 235, 3603 Kongsberg, Norway.
Bengt Eirik KarlssonFaculty of Health and Social Sciences, Department of Health, Social & Welfare Studies, University of South-Eastern Norway, PO Box 235, 3603 Kongsberg, Norway.
Marit BorgFaculty of Health and Social Sciences, Department of Health, Social & Welfare Studies, University of South-Eastern Norway, PO Box 235, 3603 Kongsberg, Norway.
Knut Tore SælørFaculty of Health and Social Sciences, Department of Health, Social & Welfare Studies, University of South-Eastern Norway, PO Box 235, 3603 Kongsberg, Norway.
Ottar NessFaculty of Health and Social Sciences, Department of Health, Social & Welfare Studies, University of South-Eastern Norway, PO Box 235, 3603 Kongsberg, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVarious models for collaborative practice in mental health care incorporating the perspectives of service-user participation and collaboration in the care have been developed. However, the emphasis in these practice models has not been on identifying specific features of "how" collaboration and service-user participation can occur and be nurtured. This suggests a need for a collaborative practice model that specifies essential strategies operationalizing the tenets of service-user participation and collaboration applicable in mental health and substance abuse (MHSA) care.

methodsA double helix approach of coalescing theoretical ideas and empirical findings to develop a practice model that is applicable in MHSA practice. A theoretical analysis is carried out to identify the critical, foundational elements for collaborative practice in MHSA practice, and has identified the philosophical-theoretical orientations of Habermas' theory of communicative action, Bakhtin's dialogicality, and the philosophy of personhood as the foundational features of collaboration. This base is juxtaposed with the results of a qualitative meta-analysis of 18 empirical articles on collaboration in MHSA to advance a collaborative practice model specifically in the domain of service user/professional collaboration.

results"The collaborative, dialogue-based clinical practice model" (CDCP Model) for community mental health care is proposed, within the structure of four main components. The first specifies the framework for practice that includes person-centered care, recovery-orientation, and a pluralistic orientation and the second identifies the domains of collaboration as service user/professional collaboration, inter-professional collaboration, and service sector collaboration. The third identifies self-understanding, mutual understanding, and shared decision-making as the essential principles of collaboration. The fourth specifies interactive-dialogic processes, negotiated-participatory engagement processes, and negotiated-supportive processes as the essential strategies of collaboration applicable in service user/professional collaboration which were extracted in the empirical work. An illustration of the CDCP Model in a clinical case is given.

conclusionsThe CDCP Model presented fills the gap that exists in the field of community MHSA practice regarding how to operationalize systematically the tenets of person-centeredness, recovery-oriented, and pluralism-oriented practice in terms of user/professional collaboration.

Indexed as

Clinical practice model for mental health and substance abuse careCollaborative practiceCommunity mental health and substance abuse practiceDialogue-basedMental health and substance abusePerson/professional collaboration

Identifiers

PMID32528554
PMCPMC7285597

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.