Evidence map›Paper›PMID 28812368›Full record

ArticleHealth communication2018

How Psychiatrists Recommend Treatment and Its Relationship with Patient Uptake.

Laura Thompson, Rose McCabe

Abstract read
In one paragraph

Article in Health communication, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
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  11. How clients solicit medication changes in psychiatry.Sociology of health & illness · 2019
    Article
  12. Observational
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.

Laura Thompsona Centre for Sustainable Working Life , Birkbeck University of London.
Rose McCabeb University of Exeter Medical School.

Funding

Medical Research Council G0401323
6 · The paper itself

Abstract

Consultations for patients with chronic mental health conditions are conceived as meetings of experts: medical and experiential, respectively. Treatment decisions, in these terms, become a joint responsibility rather than handed down ex-cathedra. One resource for constituting decisions as 'shared' is the treatment recommendation - decisional authority can be invoked through its design. There is concern that people diagnosed with schizophrenia are infrequently involved in treatment decisions. However, the methods psychiatrists actually employ remain undefined. This article advances our understanding of psychiatric practice by mapping alternative methods used by psychiatrists to recommend treatment in outpatient consultations in situ. First, we unpack the types of treatments psychiatrists recommend. Then, we ask how psychiatrists recommend treatment? Applying a novel coding taxonomy, informed by the conversation analytic principle that recommendations represent different social actions, we identify the distribution of alternative formulations for psychiatrists' recommendations (pronouncements, suggestions, proposals, and offers). We also propose one linguistic dimension, personal pronouns, on which recommending actions often depend, implicative for who is projected as 'accountable' for the decision. Finally, we examine the relationship between action type and patient uptake: is a particular type of recommendation more likely to attract acceptance/resistance from patients? And how does this relate to decisional accountability?

Indexed as

Choice BehaviorDecision MakingPhysician-Patient RelationsAdultAntipsychotic AgentsAttitude of Health PersonnelFemaleHumansLondonMalePatient ParticipationPsychiatrySchizophreniaAntipsychotic Agents

Identifiers

PMID28812368
PMCPMC6068540

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.