Evidence map›Paper›PMID 33116557›Full record

ArticleJournal of multidisciplinary healthcare2020

The Collaboration Compass: A Preliminary Model for Navigating Collaborative Practice.

Lindy L Turnbull, Susan M Carr

Abstract read
In one paragraph

Article in Journal of multidisciplinary healthcare, 2020. 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

2 authors.

Lindy L TurnbullFaculty of Health Sciences and Wellbeing, University of Sunderland, Sunderland, UK.ORCID 0000-0002-0718-7045
Susan M CarrFaculty of Health & Life Sciences, Northumbria University, Newcastle upon Tyne, UK.ORCID 0000-0003-4722-985X

Funding

Medical Research Council MR/K02325X/1
6 · The paper itself

Abstract

purposeTo investigate the meaning and manifestation of collaboration in practice including the experience and outcomes for patients and professionals.

methodsGrounded theory was used to investigate collaboration in an integrated outpatient parenteral antimicrobial therapy (OPAT) service. The sample consisted of staff and patients with experience of OPAT. Interviews and focus groups were used to generate data, and grounded theory methods were used to progress the study through constant comparative analysis and theoretical sampling to data saturation. Coding, categorizing, and techniques of situational analysis were used to analyze data and develop theory.

resultsThe relationship between the influences in the situation and the interaction which takes place between individuals was found to produce four different types of collaboration: developing, maintaining, limiting, and disrupting collaboration. The collaboration compass model was developed to illustrate and aid interactive navigation of collaborative situations. DISCUSSION: The findings present the complexity of practice, and a model to explain the multiple influences and interaction which shape collaboration. In this model, patients are part of collaboration, and this ensures that patients' views and experiences, as well as those of professionals, are included and represented in knowledge about collaboration. This adds a new dimension to existing interprofessional presentations of collaborative practice and examines collaboration as it is operationalized in practice and co-constructed between patients and professionals during day to day practice.

Indexed as

collaborationco-produced caregrounded theoryintegrated servicespatient participationservice development

Identifiers

PMID33116557
PMCPMC7548325

What OpenQuestion holds

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LicenceCC BY-NC
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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.