Evidence map›Paper›PMID 25106438›Full record

ArticleBMC research notes2014

Development of a novel diagnostic system for a telepsychiatric application: a pilot validation study.

Savita Malhotra, Subho Chakrabarti, Ruchita Shah, Aarzoo Gupta, Anurati Mehta, B Nithya, Vineet Kumar, Minali Sharma

Abstract readValidation Study
In one paragraph

Article in BMC research notes, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 2 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

22 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Rethinking and reclaiming psychiatry.Indian journal of psychiatry · 2025
    Article
  4. Article
  5. Manipal model of telepsychiatry.Indian journal of psychiatry · 2023
    Article
  6. Article
  7. Telepsychiatry and Outpatient Department Services.Indian journal of psychological medicine · 2020
    Article
  8. Article
  9. Ethical and Legal Aspects of Telepsychiatry.Indian journal of psychological medicine · 2020
    Article
  10. Article
  11. The Future of Digital Psychiatry.Current psychiatry reports · 2019
    Review
  12. Review
  13. Telemental Health in Low- and Middle-Income Countries: A Systematic Review.International journal of telemedicine and applications · 2018
    Review
  14. Article
  15. Review
  16. Review of key telepsychiatry outcomes.World journal of psychiatry · 2016
    Article
  17. Review
  18. Review
  19. Article
  20. Review
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

8 authors.

Savita MalhotraDepartment of Psychiatry, Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh 160012, India. savita.pgi@gmail.com.
Subho Chakrabarti
Ruchita Shah
Aarzoo Gupta
Anurati Mehta
B Nithya
Vineet Kumar
Minali Sharma

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA net-based, decision support system for diagnostic assessment and management of psychiatric disorders, developed as part of a telepsychiatry service, which aims to deliver mental health care to underserved population of remote areas in India is described. This paper presents the development and preliminary results of diagnostic validation of the application, intended for use among adult patients. The bilingual (English and Hindi) diagnostic tool consists of a core diagnostic section comprising a screening sub-module and criteria-based diagnostic sub-modules for 18 adult psychiatric disorders, and additional sections covering background information. The diagnostic tool of the application was examined among 100 consecutive consenting adult outpatients, by comparing it with detailed semi-structured clinical assessments led by a consultant psychiatrist, on accuracy of diagnoses generated, and examining the feasibility of its use.

resultsThe screening sub-module had high sensitivity and high specificity, low positive predictive values, but high negative predictive values for most disorders. For the diagnostic sub-modules, there was moderate (kappa = 0.4-0.6), to substantial agreement (kappa > 0.6) between diagnoses generated by the tool and consultants' diagnoses, for all the disorders except dysthymia. Sensitivity was high barring a few disorders. Specificity was high for all the disorders, positive predictive values were acceptable to high for most disorders, and negative predictive values were consistently high. Completion rate was 100%; average time taken was five minutes for screening alone, and 30 minutes for complete assessment with screening and criteria-based evaluation. A majority of the patients, their relatives, and interviewers were satisfied with the interview.

conclusionsThe preliminary results indicated that despite some limitations, the new diagnostic system was reasonably comprehensive, time-efficient and feasible, with an acceptable level of diagnostic accuracy. Hence, it appeared to be suitable for use as a telepsychiatric application.

Indexed as

PsychiatryTelemedicineAdultFeasibility StudiesHumansMental DisordersPilot ProjectsSensitivity and Specificity

Identifiers

PMID25106438
PMCPMC4266913

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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.