Evidence map›Paper›PMID 39160780›Full record

ArticleHealthcare informatics research2024

Satisfaction of Patients and Physicians with Telehealth Services during the COVID-19 Pandemic: A Systematic Review and Meta-Analysis.

Lida Fadaizadeh, Farnia Velayati, Morteza Arab-Zozani

Abstract read
In one paragraph

Article in Healthcare informatics research, 2024. 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

3 authors.

Lida FadaizadehTelemedicine Research Center, National Research Institute of Tuberculosis and Lung Diseases (NRITLD), Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Farnia VelayatiTelemedicine Research Center, National Research Institute of Tuberculosis and Lung Diseases (NRITLD), Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Morteza Arab-ZozaniSocial Determinants of Health Research Center, Birjand University of Medical Sciences, Birjand, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe rapid spread of coronavirus disease 2019 (COVID-19) posed significant challenges to healthcare systems, prompting the widespread adoption of telehealth to provide medical services while minimizing the risk of virus transmission. This study aimed to assess the satisfaction rates of both patients and physicians with telehealth during the COVID-19 pandemic.

methodsSearches were conducted in the Web of Science, PubMed, and Scopus databases from January 1, 2020, to January 1, 2023. We included studies that utilized telehealth during the COVID-19 pandemic and reported satisfaction data for both patients and physicians. Data extraction was performed using a form designed by the researchers. A meta-analysis was carried out using random-effects models with the OpenMeta-Analyst software. A subgroup analysis was conducted based on the type of telehealth services used: telephone, video, and a combination of both.

resultsFrom an initial pool of 1,454 articles, 62 met the inclusion criteria for this study. The most commonly used methods were video and telephone calls. The overall satisfaction rate with telehealth during the COVID-19 pandemic was 81%. Satisfaction rates were higher among patients at 83%, compared to 74% among physicians. Specifically, telephone consultations had a satisfaction rate of 77%, video consultations 86%, and a mix of both methods yielded a 77% satisfaction rate.

conclusionsOverall, satisfaction with telehealth during the COVID-19 pandemic was considered satisfactory, with both patients and physicians reporting high levels of satisfaction. Telehealth has proven to be an effective alternative for delivering healthcare services during pandemics.

Indexed as

COVID-19PatientsPersonal SatisfactionPhysiciansTelemedicine

Identifiers

PMID39160780
PMCPMC11333811

What Socratic 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 Socratic graph.