Evidence map›Paper›PMID 42134790›Full record

ArticleJournal of medical Internet research2026

Effectiveness of Telemedicine vs Face-to-Face Consultation in Fighting COVID-19: Retrospective Cohort Study of Adult Patients With COVID-19 in a Primary Care Setting.

Fangfang Jiao, Ka Ming Ho, Lapkin Chiang, Siu Hin Ko, Catherine Xiaorui Chen

Abstract readComparative Study
In one paragraph

Article in Journal of medical Internet research, 2026. 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

5 authors.

Fangfang JiaoDepartment of Family Medicine and Primary Health Care, Queen Elizabeth Hospital, Hong Kong SAR, China (Hong Kong).ORCID https://orcid.org/0009-0007-4175-5425
Ka Ming HoDepartment of Family Medicine and Primary Health Care, Queen Elizabeth Hospital, Hong Kong SAR, China (Hong Kong).ORCID https://orcid.org/0009-0003-0323-3475
Lapkin ChiangDepartment of Family Medicine and Primary Health Care, Queen Elizabeth Hospital, Hong Kong SAR, China (Hong Kong).ORCID https://orcid.org/0000-0001-5798-7369
Siu Hin KoDepartment of Family Medicine and Primary Health Care, Queen Elizabeth Hospital, Hong Kong SAR, China (Hong Kong).ORCID https://orcid.org/0009-0003-1692-4806
Catherine Xiaorui ChenDepartment of Family Medicine and Primary Health Care, Queen Elizabeth Hospital, Hong Kong SAR, China (Hong Kong).ORCID https://orcid.org/0000-0002-3139-5450

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTelemedicine use expanded rapidly during the COVID-19 pandemic. The Hong Kong Hospital Authority (HA) launched both tele-designated clinics (Tele-DCs) and face-to-face physical designated clinics (PDCs) to manage mild cases. However, the comparative effectiveness of these models remains unclear.

objectiveThis study aimed to compare clinical outcomes, specifically hospitalization and severe complications, between patients with mild COVID-19 managed via Tele-DCs versus PDCs in Hong Kong's public primary care setting.

methodsWe conducted a retrospective cohort study involving all patients with COVID-19, aged 18 years or older, who visited a PDC (n=23,031) or a Tele-DC (n=38,628) at the Kowloon Central Cluster in Hong Kong from July 28, 2022, to January 29, 2023. Patients were matched 1:1 using propensity score matching based on age, sex, smoking status, comprehensive social security assistance (CSSA) status, and the Charlson comorbidity score, resulting in 17,199 patients per group. The primary outcome was the hospital admission rate between day 1 and day 28. Secondary outcomes included severe complications, mortality, accident and emergency department (AED) use, the antiviral prescription rate, and DC revisit.

resultsThe average age of patients in the Tele-DC and PDC groups was 58.55 (SD 17.53) and 58.53 (SD 17.54) years, respectively (P=.93). In both groups, 9.05% (n=1557) of patients were on CSSA, and 11% (n=1892) were smokers. Compared to the PDC group, the Tele-DC group demonstrated similar hospital admission rates (Tele-DC: n=497, 2.89%; PDC: n=471, 2.74%; between-group difference 0.15%, 95% CI -0.20% to 0.50%, P=.40), lengths of stay (Tele-DC: mean 6.92, SD 0.47 days; PDC: mean 6.61, SD 0.50 days; between-group difference 0.31 days, 95% CI -1.65 to 1.04, P=.66), severe complication rates (Tele-DC: n=46, 0.27%; PDC: n=33, 0.19%; between-group difference 0.08%, 95% CI -0.03% to 0.18%, P=.18), and mortality rates (Tele-DC: n=23, 0.13%; PDC: n=18, 0.10%; between-group difference 0.03%, 95% CI -0.04% to 0.10%, P=.39). However, the Tele-DC group exhibited a higher AED visit rate (n=641, 3.73%, vs n=542, 3.15%; between-group difference 0.58%, 95% CI 0.19%-0.96%, P.003) and DC revisit rate (n=1446, 8.41%, vs n=1287, 7.48%; between-group difference 0.93%, 95% CI 0.09%-1.50%, P.002). In addition, the Tele-DC group had a lower antiviral prescription rate (n=9872, 57.4%, vs n=10,797, 62.78%; between-group difference -5.38%, 95% CI -6.41% to -4.32%, P<.001).

conclusionsThe tele-DC demonstrated clinical safety comparable to the PDC regarding hospitalization and severe complications for patients with mild COVID-19. By validating a scalable model without complex home monitoring, these findings challenge the strict necessity of physical examinations for safe triage and support a digital-first strategy for future infectious surges. However, the disparities observed in AED visits and antiviral prescription rates suggest that integrated remote monitoring tools and improved medication logistics are needed to fully replicate the efficacy of conventional care.

Indexed as

COVID-19Primary Health CareTelemedicineAdultAgedFemaleHong KongHospitalizationHumansMaleMiddle AgedPandemicsRetrospective StudiesSARS-CoV-2COVID-19designated clinichealth service usephysical designated clinictele-designated clinictelemedicine

Identifiers

PMID42134790
PMCPMC13219988

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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.