Evidence map›Paper›PMID 34594075›Full record

ArticleMedical journal, Armed Forces India2021

Health technology assessment of telemedicine applications in Northern borders of India.

Anirudh K Menon, Saibal Adhya, Madhuri Kanitkar

Abstract read
In one paragraph

Article in Medical journal, Armed Forces India, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

  1. Pooled it
  2. Pooled it
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

3 authors.

Anirudh K MenonOfficer Commanding, SHO, Chennai, India.
Saibal AdhyaProfessor, Department of Community Medicine, Armed Forces Medical College, Pune, India.
Madhuri KanitkarDCIDS (Med), Wing 7, West Block-3, RK Puram, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEconomic evaluations of health technology help to decide which interventions are to be continued and which are to be terminated. In the Armed Forces, the provision of efficient medical services requires meticulous planning for optimal utilization of scarce resources. We report a cost analysis of telemedicine and air transportation of casualties, and attempt to identify the strengths, weaknesses, opportunities and threats of telemedicine services.

methodsThe costs incurred in telemedicine were compared with the cost of air evacuation. A qualitative assessment of telemedicine was undertaken through in-depth interviews with the hospital authorities and focused group discussions with medical officers and paramedical staff.

results34.2% of casualties could successfully be stabilized on-site using available healthcare resources with the peripheral hospitals. 18 casualties were managed at the periphery on-site by teleconsultations each year, averting air-transportation efforts. Estimated cost savings achieved in the initial management of casualty by teleconsultation was Rs. 146,111 per case. The strengths of telemedicine are knowledge updation, faster decision making, improved pre-hospital care and improved confidence in case management.

conclusionThe reduction in air efforts and remote management of casualties make a substantive case for scaling up telemedicine interventions.

Indexed as

Air evacuationEconomic evaluationEmergency managementHealth technology assessmentTelemedicine

Identifiers

PMID34594075
PMCPMC8459044

What OpenQuestion holds

Textmetadata
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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.