Evidence map›Paper›PMID 18505618›Full record

ArticleThe British journal of general practice : the journal of the Royal College of General Practitioners2008

Mental health diagnosis by nurses using the Global Mental Health Assessment Tool: a validity and feasibility study.

Vimal K Sharma, Peter Lepping, Murali Krishna, Shazia Durrani, John R M Copeland, Patricia Mottram, Rashmi Parhee, Bennett Quinn, Steven Lane, Anthony Cummins

Abstract readMulticenter StudyValidation Study
In one paragraph

Article in The British journal of general practice : the journal of the Royal College of General Practitioners, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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

  1. Pooled it
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  8. Detecting mental disorders in primary care.Mental health in family medicine · 2009
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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

10 authors.

Vimal K SharmaCheshire and Wirral Partnership NHS Foundation Trust, Wirral. v.k.sharma@liv.ac.uk
Peter Lepping
Murali Krishna
Shazia Durrani
John R M Copeland
Patricia Mottram
Rashmi Parhee
Bennett Quinn
Steven Lane
Anthony Cummins

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Global Mental Health Assessment Tool-Primary Care Version (GMHAT/PC) has been developed to assist health professionals to make a quick and comprehensive standardised mental health assessment. It has proved to be a reliable and valid tool in a previous study involving GPs. Its use by other health professionals may help in detecting and managing mental disorders in primary care and general health settings.

aimTo assess the feasibility of using a computer-assisted diagnostic interview by nurses and to examine the level of agreement between the GMHAT/PC diagnosis and psychiatrists' clinical diagnosis. DESIGN OF STUDY: Cross-sectional validation study.

settingPrimary care, general healthcare (cardiac rehabilitation clinic), and community mental healthcare settings.

methodA total of 215 patients between the ages of 16 and 75 years were assessed by nurses and psychiatrists in various settings: primary care centre (n = 54), cardiac rehabilitation centre (n = 98), and community mental health clinic (n = 63). The time taken for the interview, and feedback from patients and interviewers were indicators of feasibility, and the kappa coefficient (kappa), sensitivity, and specificity of the GMHAT/PC diagnosis were measures of validity.

resultsMean duration of interview was under 15 minutes. The agreement between nurses' GMHAT/PC interview-based diagnosis and psychiatrists' International Classification of Diseases (ICD)-10 criteria-based clinical diagnosis was 80% (kappa = 0.76, sensitivity = 0.84, specificity = 0.92).

conclusionThe GMHAT/PC can assist nurses to make accurate mental health assessment and diagnosis in various healthcare settings and it is acceptable to patients.

Indexed as

AdolescentAdultAgedCommunity Mental Health ServicesCross-Sectional StudiesDiagnosis, Computer-AssistedFamily PracticeFeasibility StudiesFemaleHumansMaleMental DisordersMiddle AgedPsychiatric Status Rating ScalesSensitivity and Specificity

Identifiers

PMID18505618
PMCPMC2418993

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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.