Evidence map›Paper›PMID 33814651›Full record

ArticleTechnology in society2021

Telehealth and COVID-19: Using technology to accelerate the curve on access and quality healthcare for citizens in India.

Ridhi Bhatia

Open access · greenAbstract read
In one paragraph

Article in Technology in society, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
9.0field-weighted citation impact, top 2% 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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 75 citations in OpenAlex.

  1. Pooled it
  2. The Development of Telemedicine and eHealth in Surgery during the SARS-CoV-2 Pandemic.International journal of environmental research and public health · 2021
    Pooled it
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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

1 author at 1 institution in 1 country.

Ridhi BhatiaFaculty of Management Studies, Manav Rachna International Institute of Research and Studies, India.
Manav Rachna International Institute of Research and Studies · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current COVID-19 pandemic has reinstated the importance of telehealth as a business model for accelerating the accessibility of healthcare and improving the quality of healthcare for citizens of a country. Telehealth service has a tremendous potential in a developing country like India where the healthcare facilities in India are heavily concentrated in urban cities while their majority (67%) of the population resides in rural areas. At the same time, a high teledensity of almost 90% supports telehealth overall reach. However, the growth of telehealth in India till now has been sluggish but the corona virus (COVID-19) crisis has redefined the telehealth ecosystem by reducing the risk of infection through person-to-person contact. In this study, we explore the perception of healthcare users towards telehealth services and analyze the key enablers for the telehealth services in the current scenario. We collected data from 1170 participants through personal interview. The results of the study shows a considerable segment of the population is having high healthcare need, have aspirations for accessing better healthcare for themselves and their family members and use ICT to a significant extent. At the same time, they have positive attitude towards telehealth and socio-demographic factors like age, geographical location, educational qualification, family size affects the attitude towards telehealth services. The results of the study shows there is a significant market for telehealth services in India to be explored by the technology firms, hospitals and other healthcare stakeholders and going forward it has an enormous capability to transform the complete healthcare ecosystem, especially in developing countries like India post the COVID-19 crisis.

Identifiers

PMID33814651
PMCPMC8008321
OpenAlexW3111192688

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.