Evidence map›Paper›PMID 33896975›Full record

ArticleIndian journal of psychiatry

An impact of a digitally driven primary care psychiatry program on the integration of psychiatric care in the general practice of primary care doctors.

Erika Pahuja, Thamaraiselvan Santhosh Kumar, Fareed Uzzafar, Narayana Manjunatha, Channaveerachari Naveen Kumar, Ravi Gupta, Suresh Bada Math

Open access · diamondAbstract read
In one paragraph

Article in Indian journal of psychiatry. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
4.3field-weighted citation impact, top 6% 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

24 citing papers in PubMed, 35 citations in OpenAlex.

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  12. India's NITI Aayog's Health Index: Where Is the Mental Health?Indian journal of psychological medicine · 2022
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  13. Panic disorder in general medical practice- A narrative review.Journal of family medicine and primary care · 2022
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  16. Public Health Perspectives of Geriatric Mental Health Care.Indian journal of psychological medicine · 2021
    Article
  17. Telemedicine in Geriatric Psychiatry: Relevance in India.Indian journal of psychological medicine · 2021
    Article
  18. Article
  19. 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

7 authors at 3 institutions in 1 country.

Erika PahujaDepartment of Psychiatry, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India.
Thamaraiselvan Santhosh KumarDepartment of Psychiatry, Tele Medicine Centre, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India.
Fareed UzzafarDepartment of Medical Health and Family Welfare, National Health Mission, Government of Uttarakhand, Dehradun, Uttarakhand, India.
Narayana ManjunathaDepartment of Psychiatry, Tele Medicine Centre, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India.
Channaveerachari Naveen KumarDepartment of Psychiatry, Tele Medicine Centre, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India.
Ravi GuptaDepartment of Psychiatry, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India.
Suresh Bada MathDepartment of Psychiatry, Tele Medicine Centre, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India.
National Institute of Mental Health and Neurosciences · INAll India Institute of Medical Sciences Rishikesh · INUttarakhand Government · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe prevalence of psychiatric disorders among the general population is 10.6%. Primary care doctors (PCDs) are often the first contact for patients with common psychiatric disorders, but the majority of them are ill equipped to handle the same leading to symptomatic treatment. Hence, an innovative digitally driven and modular-based 1-year primary care psychiatry program (PCPP) was designed and implemented exclusively for practicing PCDs of Uttarakhand.

aimThe aim of the study was to assess the impact of this digitally driven 1-year PCPP on the general practice of PCDs. MATERIALS AND

methodsTen PCDs were trained in the curriculum module "Clinical Schedule for Primary Care Psychiatry" which is a validated concise guideline for screening, classification, diagnosis, treatment, follow-ups, and referrals. Furthermore, they underwent training in on-site basic module (10 days); three online modules (with nil or minimal disruption in their regular clinical work) - Telepsychiatric On-Consultation Training (Tele-OCT), Collaborative Video Consultations, and weekly virtual classroom; and one public health module. In addition, PCDs underwent 10 criteria-based formative assessment including self-reports of weekly patients' audit (Primary Care Psychiatry Quotient [PCPQ]) and quarterly Tele-OCT evaluation sessions (Translational Quotient [TQ]).

resultsPCPQ was 11.09% (2182 psychiatric patients of total 19,670 general outpatients) which means 11.09% of PCDs' total general consultations had psychiatric disorders, which would have been otherwise missed. Average scores obtained in first and second Tele-OCT evaluations (similar to clinical examination but in their real-time consultation) were 70.33% and 76.33%, respectively, suggestive of adequate TQ at 6 and 9 months of the course.

conclusionsOne-year PCPP is shown to be effective in acquiring psychiatry knowledge, skills, and retention of skills (TQ) and also translated in providing psychiatric care in general practice with a positive impact on the delivery of primary care psychiatry.

Indexed as

General practiceIndiaprimary carepsychiatrytelepsychiatry

Identifiers

PMID33896975
PMCPMC8052894
OpenAlexW3112575666

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.