Evidence map›Paper›PMID 42679096›Full record

ArticleJournal of medical Internet research2026

Partially Virtual vs In-Person Care in Cardiovascular Conditions-Time Trends, Patient Characteristics, and Medication Management: Cohort Study.

Sebastian Kinnberg Nielsen, Alessandra Meddis, Paul Frédéric Blanche, Mads Hashiba, Morten Schou, Ulrik Bak Kirk, Lars Kayser, Christian Torp-Pedersen, Nina Nouhravesh, Signe Stelling Risom and 2 more

Abstract read
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
–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

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.

Sebastian Kinnberg NielsenDepartment of Cardiology, Copenhagen University Hospital - Herlev and Gentofte, Gentofte Hospitalsvej 6, postbox 635, Hellerup, Capital Region, DK-2900, Denmark, 45 40 47 95 56.ORCID http://orcid.org/0000-0002-3157-8468
Alessandra MeddisSection of Biostatistics, Department of Public Health, University of Copenhagen, Copenhagen, Capital Region, Denmark.ORCID http://orcid.org/0000-0002-0520-0701
Paul Frédéric BlancheSection of Biostatistics, Department of Public Health, University of Copenhagen, Copenhagen, Capital Region, Denmark.ORCID http://orcid.org/0000-0003-1415-7976
Mads HashibaDepartment of Cardiology, Copenhagen University Hospital - Herlev and Gentofte, Gentofte Hospitalsvej 6, postbox 635, Hellerup, Capital Region, DK-2900, Denmark, 45 40 47 95 56.ORCID http://orcid.org/0000-0002-3423-5495
Morten SchouDepartment of Cardiology, Copenhagen University Hospital - Herlev and Gentofte, Gentofte Hospitalsvej 6, postbox 635, Hellerup, Capital Region, DK-2900, Denmark, 45 40 47 95 56.ORCID http://orcid.org/0000-0002-4271-2466
Ulrik Bak KirkDepartment of Public Healh, Aarhus University, Aarhus, Central Jutland, Denmark.ORCID http://orcid.org/0000-0003-1683-2189
Lars KayserDepartment of Public Health, University of Copenhagen, Copenhagen, Capital Region, Denmark.ORCID http://orcid.org/0000-0002-0909-4088
Christian Torp-PedersenSection of Biostatistics, Department of Public Health, University of Copenhagen, Copenhagen, Capital Region, Denmark.ORCID http://orcid.org/0000-0003-2892-6131
Nina NouhraveshDepartment of Cardiology, Copenhagen University Hospital - Herlev and Gentofte, Gentofte Hospitalsvej 6, postbox 635, Hellerup, Capital Region, DK-2900, Denmark, 45 40 47 95 56.ORCID http://orcid.org/0000-0002-4891-7358
Signe Stelling RisomDepartment of Cardiology, Copenhagen University Hospital - Herlev and Gentofte, Gentofte Hospitalsvej 6, postbox 635, Hellerup, Capital Region, DK-2900, Denmark, 45 40 47 95 56.ORCID http://orcid.org/0000-0001-5168-9264
Anders HoltDepartment of Cardiology, Copenhagen University Hospital - Herlev and Gentofte, Gentofte Hospitalsvej 6, postbox 635, Hellerup, Capital Region, DK-2900, Denmark, 45 40 47 95 56.ORCID http://orcid.org/0000-0002-8196-2599
Morten Kjøbek LambertsDepartment of Cardiology, Copenhagen University Hospital - Herlev and Gentofte, Gentofte Hospitalsvej 6, postbox 635, Hellerup, Capital Region, DK-2900, Denmark, 45 40 47 95 56.ORCID http://orcid.org/0000-0002-9827-440X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Despite growing initiatives to promote partially virtual care, there is still a lack of comprehensive data describing its use, patient characteristics, and medication management practices. Objective: This study aimed to examine the use of partially virtual care in the management of cardiovascular disease. Methods: We used nationwide Danish registries to identify all patients with a first-time diagnosis of atrial fibrillation (AF), heart failure (HF), pulmonary embolism (PE), or acute coronary syndrome (ACS) between 2019 and 2023. Patients were categorized as receiving partially virtual care if followed up at least once virtually or in-person care if seen solely in-person. We evaluated temporal changes in the use of partially virtual care and calculated the odds of receiving partially virtual care vs in-person care and the prevalence of initiating guideline-directed medical therapy (GDMT). For GDMT initiation, the exposure was instead the type of the patient's first follow-up visit. Multivariable logistic regression was used to estimate the odds of receiving partially virtual care, adjusted for frailty score, residence, and period of diagnosis. Separate multivariable logistic regression models were then used to estimate adjusted average differences in the prevalence of GDMT initiation between virtual and in-person follow-up among patients not already on the medication, accounting for frailty score, residence, and period of diagnosis. Results: In total, 45,919 patients with AF, 30,482 with HF, 12,451 with PE, and 12,435 with ACS were followed up. Among these, 27.3% (AF: 12,517/45,919), 51.7% (HF: 15,749/30,482), 47.5% (PE: 5918/12,451), and 37.2% (ACS: 4627/12,435) had partially virtual follow-up. The use of partially virtual follow-up increased during the COVID-19 pandemic and remained high afterward. In 2023, 17.4% (475/2731) to 35.3% (876/2481) of patients' first follow-up visits were virtual, depending on the condition. Patient-specific factors significantly associated with partially virtual care were patients residing in cities for those with AF (odds ratio [OR] 1.27, 95% CI 1.21-1.34), HF (OR 1.38, 95% CI 1.31-1.46), and PE (OR 1.14, 95% CI 1.04-1.24), but not for patients with ACS, and "high frailty" for those with AF (OR 1.63, 95% CI 1.48-1.80) and PE (OR 1.53, 95% CI 1.29-1.81). A large percentage of patients were on GDMT prior to the first follow-up visit. Differences in new initiation of GDMT were small in absolute terms across conditions, regardless of virtual or in-person follow-up; for example, for patients with HF, 2.23% initiated sodium-glucose cotransporter-2 inhibitors following a virtual visit, vs 4.47% after an in-person visit (prevalence difference -2.24%, 95% CI, -2.61 to -1.87). Conclusions: Among patients who received follow-up, a considerable proportion of patients with cardiovascular disease (from 12,517/45,919, 27.3% to 15,749/30,482, 51.7%) received partially virtual care. The odds of receiving partially virtual care varied significantly based on patient characteristics, particularly place of residence and frailty score. Finally, small absolute differences were found in the initiation of new GDMT.

Indexed as

Cardiovascular DiseasesTelemedicineAcute Coronary SyndromeAgedAtrial FibrillationCohort StudiesDenmarkDigital HealthFemaleHeart FailureHumansMaleMiddle AgedPulmonary EmbolismRegistriescardiologycardiovascular diseasedigital healthfollow-upGDMTguideline-directed medical therapyremote consultationtelemedicinevirtual care

Identifiers

PMID42679096
PMCPMC13533318

What OpenQuestion holds

Textmetadata
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.