Evidence map›Paper›PMID 40053813›Full record

ArticleJournal of medical Internet research2025

Telemedicine Use During the COVID-19 Pandemic in 8 Countries From the International Sexual Health and Reproductive Health Consortium: Web-Based Cross-Sectional Survey Study.

Rayner Kay Jin Tan, Devon Hensel, Olena Ivanova, Raquel Gomez Bravo, Adesola Olumide, Emmanuel Adebayo, Amanda Cleeve, Amanda Gesselman, Sonam Jyoti Shah, Helen Adesoba and 2 more

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Rayner Kay Jin TanSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore.ORCID 0000-0002-9188-3368
Devon HenselDepartment of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, United States.ORCID 0000-0002-2267-1038
Olena IvanovaInstitute of Infectious Diseases and Tropical Medicine, LMU University Hospital, LMU Munich, Munich, Germany.ORCID 0000-0002-8276-7891
Raquel Gomez BravoDepartment of Behavioural and Cognitive Sciences, University of Luxembourg-Campus Belval, Belval, Luxembourg.ORCID 0000-0002-3786-8626
Adesola OlumideInstitute of Child Health, College of Medicine, University of Ibadan and University College Hospital, Ibadan, Nigeria.ORCID 0000-0003-4372-9822
Emmanuel AdebayoInstitute of Child Health, College of Medicine, University of Ibadan and University College Hospital, Ibadan, Nigeria.ORCID 0000-0002-9148-4236
Amanda CleeveDepartment of Global Health, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0001-8115-5503
Amanda GesselmanKinsey Institute, Indiana University, Bloomington, IN, United States.ORCID 0000-0001-6485-6404
Sonam Jyoti ShahInstitute for Global Health and Infectious Diseases, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.ORCID 0009-0005-3608-5207
Helen AdesobaInstitute of Child Health, College of Medicine, University of Ibadan and University College Hospital, Ibadan, Nigeria.ORCID 0009-0009-5204-9942
Gifty MarleyUniversity of North Carolina Project-China, Guangzhou, China.ORCID 0000-0002-0025-3062
Weiming TangUniversity of North Carolina Project-China, Guangzhou, China.ORCID 0000-0002-9026-707X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTelemedicine is an important way to fill in the access gap to in-person health care services during challenging times like pandemics.

objectiveThis study aimed to investigate the role that telemedicine played during the COVID-19 pandemic by multicountry comparison of the use of telemedicine prior to and during the pandemic.

methodsThis study analyzes data from the second wave of the International Sexual Health and Reproductive Health study. This included data collected between April 2021 and July 2022 in 8 countries, including Armenia (n=296), Egypt (n=889), Germany (n=138), Moldova (n=311), Nigeria (n=205), Portugal (n=951), Singapore (n=13), and Spain (n=54). This study covered sociodemographics, sexual and reproductive health (SRH), and telemedicine use. Descriptive statistics and multilevel modeling were used to assess the factors influencing the use of telemedicine.

resultsOverall, 2857 participants were recruited. Approximately 57.6% (n=1646) of participants had never used telemedicine prior to COVID-19 measures, while 45.9% (n=1311) of participants required health care but reported not using telemedicine services following the introduction of COVID-19 measures. In high-income countries, the most common mode reported was audio-based telemedicine services, with 283 (71.8%) and 417 (73.5%) participants doing so before and during COVID-19, respectively. This was followed by text-based telemedicine services, with 152 (38.6%) and 173 (30.5%) participants doing so before and during COVID-19, respectively. In low- to middle-income countries, many participants also reported using audio-based telemedicine services, with 288 (35.3%) and 237 (40.8%) participants doing so before and during COVID-19, respectively. This was followed by chat-based telemedicine services, with 265 (32.4%) and 217 (37.3%) participants doing so before and during COVID-19, respectively. Multilevel modeling revealed that those who were older (adjusted odds ratio [aOR] 0.99, 95% CI 0.99-1.00) and were in countries with a higher gross domestic product per capita (aOR 0.99, 95% CI 0.98-1.00) were less likely to have ever used telemedicine. Participants who were of male sex assigned at birth (aOR 0.79, 95% CI 0.65-0.96) were less likely to use telemedicine during the pandemic. Participants who perceived that they were worse off financially were more likely to have switched to telemedicine during COVID-19 (aOR 1.39, 95% CI 1.02-1.89) and were more likely to report having a poor or fair experience of telemedicine services (aOR 1.75, 95% CI 1.34-2.29). When sexual orientation was included in the model, nonheterosexual individuals were more likely to ever use telemedicine prior to COVID-19 (aOR 1.35, 95% CI 1.08-1.69), more likely to have used telemedicine during COVID-19 (aOR 1.58, 95% CI 1.24-2.02), and more likely to have switched to telemedicine during COVID-19 (aOR 1.55, 95% CI 1.09-2.21).

conclusionsTelemedicine played a key role in addressing health care needs during the COVID-19 pandemic. Age, sex, economic status, and sexual orientation influenced its use.

Indexed as

COVID-19Reproductive HealthSexual HealthTelemedicineAdolescentAdultCross-Sectional StudiesFemaleHumansInternetMaleMiddle AgedPandemicsSARS-CoV-2Surveys and QuestionnairesYoung Adultabortioncarechronic conditioncommunication technologycontraceptionCOVID-19health care deliverymedical educationpandemicreproductive healthsexual and reproductive healthsexual healthtelemedicineweb-based survey

Identifiers

PMID40053813
PMCPMC11920653

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.