Evidence map›Paper›PMID 29064090›Full record

SynthesisThe Cochrane database of systematic reviews2017

Different communication strategies for disclosing a diagnosis of schizophrenia and related disorders.

Saeed Farooq, Rupinder K Johal, Charlotte Ziff, Farooq Naeem

Open access · bronzeAbstract readSystematic Review
In one paragraph

Synthesis in The Cochrane database of systematic reviews, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 39% of its field
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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
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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

4 authors at 3 institutions in 2 countries.

Saeed FarooqResearch Institute for Primary Care and Health Sciences, Keele University, Staffordshire, UK, ST5 5BG.
Rupinder K Johal
Charlotte Ziff
Farooq Naeem
Queen's University · CAKeele University · GBNew Cross Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDelivering the diagnosis of a serious illness is an important skill in most fields of medicine, including mental health. Research has found that communication skills can impact on a person's recall and understanding of the diagnosis, treatment options and prognosis. People may feel confused and perplexed when information about their illness is not communicated properly. Sharing information about diagnosis of a serious mental illness is particularly challenging. The nature of mental illness is often difficult to explain since there may be no clear aetiology, and the treatment options and prognosis may vary enormously. In addition, newly diagnosed psychiatric patients, who are actively ill, often may not accept their diagnosis due to lack of insight or stigma attached to the condition. There are several interventions that aim to help clinicians to communicate life changing medical diagnoses to people; however, little is known specifically for delivering a diagnosis of schizophrenia.

objectivesTo evaluate evidence from randomised controlled trials (RCTs) for the efficacy of different communication strategies used by clinicians to inform people about the diagnosis and outcome of schizophrenia compared with treatment as usual and to compare efficacy between different communication strategies. SEARCH

methodsOn 22 June 2015 and 29 June 2016, we searched the Cochrane Schizophrenia Group's Study-Based Register of Trials. We also searched sources of grey literature (e.g., dissertations, theses, clinical reports, evaluations published on websites, clinical guidelines and reports from regulatory agencies). SELECTION CRITERIA: We planned to include all relevant RCTs that included adults with schizophrenia or related disorders, including schizophreniform disorder, schizoaffective disorder and delusional disorder. The trials would have investigated the effects of communication strategy or strategies that helped clinicians deliver information specifically about a diagnosis of schizophrenia (which can also include communication regarding the treatment options available and prognosis). DATA COLLECTION AND ANALYSIS: Review authors independently examined all reports from the searches for any relevant studies. We planned to extract data independently. For binary outcomes, we would have calculated risk ratio (RR) and its 95% confidence interval (CI), on an intention-to-treat basis. For continuous data, we would have estimated the mean difference (MD) between groups and its 95% CI. We would have employed a random-effects model for analyses. We planned to assess risk of bias for included studies. We created a 'Summary of findings' table using GRADE. MAIN

resultsThe searches identified 44 records which appeared to be relevant to the aims of the review. We obtained full reports for seven potential studies; however, after close inspection none of these studies met the inclusion criteria. AUTHORS'

conclusionsGood communication of diagnosis can affect treatment planning, compliance and patient outcomes, especially in the case of conditions such as schizophrenia, which has the potential to cause serious life disruption for both people with schizophrenia and their carers. Currently, there is no evidence based on findings from RCTs assessing the effects of communication strategies for disclosing the diagnosis of schizophrenia and related disorders. Research is required.

Indexed as

CommunicationDisclosureSchizophrenic PsychologyHumansSchizophrenia

Identifiers

PMID29064090
PMCPMC6485682
OpenAlexW1867186304

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.