Evidence map›Paper›PMID 26007647›Full record

ArticleCommunity mental health journal2016

Indo-Canadian Collaboration for Suicide Prevention: Training Needs Assessment for Healthcare Professionals in India.

Ravi Shah, Rahel Eynan, Amresh Srivastava, Leanna Reiss, T S Sathyanarayana Rao, Shubhangi Parkar, Lakshman Dutt, Kranti Kadam, Paul S Links

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Article in Community mental health journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

9 authors.

Ravi ShahDepartment of Psychiatry, Western University, London, ON, Canada. anuras01@gmail.com.
Rahel EynanDepartment of Psychiatry, Western University, London, ON, Canada.
Amresh SrivastavaDepartment of Psychiatry, Western University, London, ON, Canada.
Leanna ReissDepartment of Psychiatry, Western University, London, ON, Canada.
T S Sathyanarayana RaoDepartment of Psychiatry, JSS University, Mysore, India.
Shubhangi ParkarDepartment of Psychiatry, Seth G S Medical College and KEM Hospital, Mumbai, India.
Lakshman DuttDepartment of Psychiatry, Indus University, Ahmedabad, India.
Kranti KadamDepartment of Psychiatry, Seth G S Medical College and KEM Hospital, Mumbai, India.
Paul S LinksDepartment of Psychiatry, Western University, London, ON, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The main purpose of the study was to conduct a comprehensive needs assessment of primary healthcare professionals in order to develop a training program aimed at enhancing competencies in suicide risk assessment and management. A total of 144 primary healthcare professionals (physicians = 46; primary care workers = 98) completed the needs assessment questionnaire. The majority of healthcare professionals rated their level of comfort and competence in assessing, treating, and referring suicidal patients as medium or high. However, their knowledge about suicide, risk factors for suicide, asking about suicidal behaviour, and helping a suicidal patient was rated low or medium. Overall, the scarcity of qualified healthcare professionals and the existing gaps in core competencies for suicide risk assessment and management was identified. Development of innovative and effective competencies-based suicide specific training for primary care providers in India is urgently required.

Indexed as

International CooperationNeeds AssessmentSuicide PreventionAdultCanadaFemaleHumansIndiaMaleMental HealthRisk AssessmentSuicideEducational gapsNeeds assessmentPrimary care providersSuicide

Identifiers

PMID26007647

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.