Evidence map›Paper›PMID 41164588›Full record

ArticleJournal of pharmacy & bioallied sciences2025

Assessment of IPD Patients' Knowledge and Attitudes Toward Telemedicine at Tertiary Care Hospital of Metro City.

Sandesh Kumar Sharma, Mahender Kumar, Praveen Kumar Varma Datla, Kausar Jahan, Aranya Sarkar, Shivani Panda, Rahul Tiwari

Abstract read
In one paragraph

Article in Journal of pharmacy & bioallied sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Sandesh Kumar SharmaIIHMR University, Jaipur, Rajasthan, India.
Mahender KumarIIHMR University, Jaipur, Rajasthan, India.
Praveen Kumar Varma DatlaDepartment of Orthodontics, Vishnu Dental College, Vishnupur, Bhimavaram, Andhra Pradesh, India.
Kausar JahanDepartment of Prosthodontics, Al Ameen Dental College, Vijayapura, Karnataka, India.
Aranya SarkarBDS Student, Kalinga Institute of Dental Sciences, KIIT University, Patia, Bhubaneswar, Odisha, India.
Shivani PandaBDS Student, Kalinga Institute of Dental Sciences, KIIT University, Patia, Bhubaneswar, Odisha, India.
Rahul TiwariIIHMR University, Jaipur, Rajasthan, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Telemedicine has seen a surge in popularity due to the need for remote patient care caused by quarantine measures. Telemedicine has been extensively used for teleradiology, telepathology, and telepsychiatry throughout the pandemic. Telemedicine's future extends beyond general consultations to include specialist fields like tele-oncology, tele-surgery, and tele-ophthalmology. Methods: The study was conducted using a cross-sectional survey design to collect data from inpatients diagnosed with cancer at a private tertiary care hospital in Metro City. Data was collected from March 18, 2024, to June 17, 2024. Participants were selected through convenience sampling, and 50 inpatient cancer patients were included. Results: The accessibility of the Internet is widespread, but better reach is required for rural and urban areas. The analysis of future telemedicine utilization reveals a strong positive outlook, with 78% of patients expressing interest in participating in future telemedicine opportunities. Conclusion: Overall, telemedicine can potentially improve cancer care, but addressing the remaining concerns and limitations is essential to ensure optimal use.

Indexed as

Cancer careinpatient departmentknowledge assessmentpatient attitudetelemedicine

Identifiers

PMID41164588
PMCPMC12563967

What OpenQuestion holds

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LicenceCC BY-NC-SA
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Registered trials

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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.