Evidence map›Paper›PMID 29265020›Full record

ArticleThe Indian journal of medical research2017

Telepsychiatry clinical decision support system used by non-psychiatrists in remote areas: Validity & reliabilityof diagnostic module.

Savita Malhotra, Subho Chakrabarti, Ruchita Shah, Minali Sharma, Kanu Priya Sharma, Akanksha Malhotra, Suneet K Upadhyaya, Mushtaq A Margoob, Dar Maqbool, Gopal D Jassal

Abstract read
In one paragraph

Article in The Indian journal of medical research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Rethinking and reclaiming psychiatry.Indian journal of psychiatry · 2025
    Article
  2. Review
  3. Article
  4. Manipal model of telepsychiatry.Indian journal of psychiatry · 2023
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Ethical and Legal Aspects of Telepsychiatry.Indian journal of psychological medicine · 2020
    Article
  10. Telepsychiatry: Reaching the unreached.The Indian journal of medical research · 2017
    Article
  11. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Savita MalhotraDepartment of Psychiatry, Postgraduate Institute of Medical Education & Research, Chandigarh, India.
Subho ChakrabartiDepartment of Psychiatry, Postgraduate Institute of Medical Education & Research, Chandigarh, India.
Ruchita ShahDepartment of Psychiatry, Postgraduate Institute of Medical Education & Research, Chandigarh, India.
Minali SharmaDepartment of Psychiatry, Postgraduate Institute of Medical Education & Research, Chandigarh, India.
Kanu Priya SharmaDepartment of Psychiatry, Postgraduate Institute of Medical Education & Research, Chandigarh, India.
Akanksha MalhotraDepartment of Psychiatry, Postgraduate Institute of Medical Education & Research, Chandigarh, India.
Suneet K UpadhyayaDepartment of Psychiatry, Hemwati Nandan Bahuguna Base Hospital, Srinagar, Uttarakhand, India.
Mushtaq A MargoobDepartment of Psychiatry, Institute of Mental Health & Neuro Sciences, Srinagar, Jammu & Kashmir, India.
Dar MaqboolDepartment of Psychiatry, Institute of Mental Health & Neuro Sciences, Srinagar, Jammu & Kashmir, India.
Gopal D JassalRegional Hospital, Bilaspur, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND &

objectivesA knowledge-based, logically-linked online telepsychiatric decision support system for diagnosis and treatment of mental disorders was developed and validated. We evaluated diagnostic accuracy and reliability of the application at remote sites when used by non-psychiatrists who underwent a brief training in its use through video-conferencing.

methodsThe study was conducted at a nodal telepsychiatry centre, and three geographically remote peripheral centres. The diagnostic tool of application had a screening followed by detailed criteria-wise diagnostic modules for 18 psychiatric disorders. A total of 100 consecutive consenting adult outpatients attending remote telepsychiatry centres were included. To assess inter-rater reliability, patients were interviewed face to face by non-specialists at remote sites using the application (active interviewer) and simultaneously on online application via video-conferencing by a passive assessor at nodal centre. Another interviewer at the nodal centre rated the patient using Mini-International Neuropsychiatric Interview (MINI) for diagnostic validation.

resultsScreening sub-module had high sensitivity (80-100%), low positive predictive values (PPV) (0.10-0.71) but high negative predictive value (NPV) (0.97-1) for most disorders. For the diagnostic sub-modules, Cohen's kappa was >0.4 for all disorders, with kappa of 0.7-1.0 for most disorders. PPV and NPV were high for most disorders. Inter-rater agreement analysis revealed kappa >0.6 for all disorders. INTERPRETATION &

conclusionsDiagnostic tool showed acceptable to good validity and reliability when used by non-specialists at remote sites. Our findings show that diagnostic tool of the telepsychiatry application has potential to empower non-psychiatrist doctors and paramedics to diagnose psychiatric disorders accurately and reliably in remote sites.

Indexed as

AdultDecision Support Systems, ClinicalFemaleHumansMaleMental DisordersMiddle AgedPsychiatryTelemedicine

Identifiers

PMID29265020
PMCPMC5761029

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LicenceCC BY-NC-SA
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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.