Evidence map›Paper›PMID 38162328›Full record

ArticleJournal of public health in Africa2023

The theory behind and factors influencing the use of telemedicine during the COVID-19 pandemic: A systematic review.

Arif Kurniawan, Elviera Gamelia, Dian Anandari

Open access · goldAbstract read
In one paragraph

Article in Journal of public health in Africa, 2023. 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
1.7field-weighted citation impact, top 9% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  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

3 authors at 1 institution in 1 country.

Arif KurniawanPublic Health Department, Faculty of Health Sciences, University of Jenderal Soedirman, Indonesia.
Elviera GameliaPublic Health Department, Faculty of Health Sciences, University of Jenderal Soedirman, Indonesia.
Dian AnandariPublic Health Department, Faculty of Health Sciences, University of Jenderal Soedirman, Indonesia.
Jenderal Soedirman University · ID

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A paradigm change in patient health care toward telemedicine services was necessary in 2020 due to the COVID-19 pandemic, which broke out at the end of 2019. Theories used in determining the determinants of telemedicine utilization are various theories. Research conducted on the use of telemedicine still has doubts about the basic theory used in analyzing the factors that influence telemedicine, especially during the Covid-19 pandemic. The goal of this study is to outline the fundamental principles of telemedicine utilization during the Covid-19 outbreak and the variables that affect it. This Literature Review uses the scoping review method with the tool procedure, namely PRISMA. Based on the conducted literature review, there are 12 scholarly papers addressing the variables that affect the utilization of telemedicine services. During the Covid 19 epidemic, more individuals in many nations used telemedicine services. Anderson's theory of health care use and the idea of technology adoption or acceptance serve as the foundational theories for forecasting the variables that affect the use of telemedicine. The utilization of telemedicine is influenced by 29 different factors that come from different theories. The desire for health, exposure to COVID 19, co-morbidities, social media usage, avoiding contamination, time efficiency, ease of use of services, social impact, and hedonic incentive are among the factors associated to the COVID 19 pandemic.

Indexed as

COVID-19telemedicineutilization influencing factors

Identifiers

PMID38162328
PMCPMC10755515
OpenAlexW4390507838

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.