Evidence map›Paper›PMID 33607350›Full record

ArticleAsian journal of psychiatry2021

Telemedicine-assisted stepwise approach of service delivery for substance use disorders in India.

Abhishek Ghosh, Tathagata Mahintamani, Subodh B N, Renjith R Pillai, S K Mattoo, Debasish Basu

Abstract read
In one paragraph

Article in Asian journal of psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

6 authors.

Abhishek GhoshDrug De-addiction and Treatment Centre, Department of Psychiatry, Postgraduate Institute of Medical Education and Research, Chandigarh, 160012, India.
Tathagata MahintamaniDrug De-addiction and Treatment Centre, Department of Psychiatry, Postgraduate Institute of Medical Education and Research, Chandigarh, 160012, India.
Subodh B NDrug De-addiction and Treatment Centre, Department of Psychiatry, Postgraduate Institute of Medical Education and Research, Chandigarh, 160012, India.
Renjith R PillaiDrug De-addiction and Treatment Centre, Department of Psychiatry, Postgraduate Institute of Medical Education and Research, Chandigarh, 160012, India.
S K MattooDrug De-addiction and Treatment Centre, Department of Psychiatry, Postgraduate Institute of Medical Education and Research, Chandigarh, 160012, India.
Debasish BasuDrug De-addiction and Treatment Centre, Department of Psychiatry, Postgraduate Institute of Medical Education and Research, Chandigarh, 160012, India. Electronic address: db_sm2002@yahoo.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Restricted access to healthcare during COVID-19 pandemic warranted an urgent adaptation of telemedicine practice. We describe a synchronous, stepwise (telephonic, video, and in-person consultation) direct-care model. From 18th May to 31st August 2020, 128 new and 198 follow-up patients received consultation. Eighty-nine percent of new patients required video-consultation. Sixty-eight percent of follow-up cases were managed by telephonic consultation. A third of new and a fifth of the follow-up patients had to be called for physical consultation. Limited access to and understanding of the technologies, potential breach in privacy, and restrictions imposed on online prescription of medications posed significant challenges.

Indexed as

AdolescentAdultAgedCOVID-19FemaleHumansIndiaMaleMiddle AgedReferral and ConsultationSARS-CoV-2Substance-Related DisordersTelemedicineVideoconferencingYoung AdultIn person careStepwise approachTelemedicineVideo conferencing

Identifiers

PMID33607350
PMCPMC9760420

What OpenQuestion holds

Textmetadata
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.