Evidence map›Paper›PMID 33354000›Full record

ArticleIndian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine

Bringing Health Care Closer to People - A Review of Various Telemedicine Models under the National Health Mission in India.

Disha Agarwal, Nobhojit Roy, Vivek Panwar, Ajay Basil, Prashant Mohan Agarwal

Abstract read
In one paragraph

Article in Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Impact of COVID-19 and containment measures on burn care: A qualitative exploratory study.Burns : journal of the International Society for Burn Injuries · 2022
    Article
  3. Article
  4. 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

5 authors.

Disha AgarwalNational Health Systems Resource Centre, New Delhi, India.
Nobhojit RoyNational Health Systems Resource Centre, New Delhi, India.
Vivek PanwarNational Health Systems Resource Centre, New Delhi, India.
Ajay BasilNational Health Systems Resource Centre, New Delhi, India.
Prashant Mohan AgarwalInstitute of Liver and Biliary Sciences, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Telemedicine is an alliance between technology and medicine. It is a prevalent practice in developed countries; it has been widely used in developing countries to address the issues of access to medical care. India has been experimenting with telemedicine since long to address the issues of access and availability of specialist care and in recent years, with the rapid advancement of information technology, telemedicine has become a popular concept across the country. In this article, we have reviewed the various aspects of different government-funded telemedicine models functional in 12 states across India. We have also attempted to explore the levels of care delivery and services at facilities provided through telemedicine and challenges being faced in the implementation of the models. As a way forward, the health-care community needs to realize the full potential of telemedicine facility and utilize it to their benefit. Telemedicine will work best when it is one component of a well-functioning health system and not as an isolated gap-filling application.

Indexed as

Accessgovernment-fundedhealth careNational Health Missionpublic–private partnershipstelemedicine

Identifiers

PMID33354000
PMCPMC7745827

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.