Evidence map›Paper›PMID 36823408›Full record

ArticleThe European journal of health economics : HEPAC : health economics in prevention and care2024

Short- and intermediate-term impact of DTC telemedicine consultations on subsequent healthcare consumption.

Cecilia Dahlgren, Emma Spånberg, Sofia Sveréus, Margareta Dackehag, Per Wändell, Clas Rehnberg

Abstract read
In one paragraph

Article in The European journal of health economics : HEPAC : health economics in prevention and care, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Use of Direct-to-Consumer Telemedicine: A Qualitative Study Exploring the Thoughts, Perspectives and Experiences of Australian Adults.Health expectations : an international journal of public participation in health care and health policy · 2026
    Article
  2. Government partnerships with corporate virtual primary care.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Medical teleconsultation from the patient's perspective. A demographic segmentation.The European journal of health economics : HEPAC : health economics in prevention and care · 2025
    Article
  7. Article
  8. 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

6 authors.

Cecilia DahlgrenDepartment of Learning, Informatics, Management and Ethics, Karolinska Institutet, Tomtebodavägen 18 A, LIME, 171 77, Stockholm, Sweden. cecilia.dahlgren@ki.se.ORCID http://orcid.org/0000-0001-8119-7113
Emma SpånbergDepartment of Learning, Informatics, Management and Ethics, Karolinska Institutet, Tomtebodavägen 18 A, LIME, 171 77, Stockholm, Sweden.
Sofia SveréusDepartment of Learning, Informatics, Management and Ethics, Karolinska Institutet, Tomtebodavägen 18 A, LIME, 171 77, Stockholm, Sweden.
Margareta DackehagDepartment of Economics, Lund University, Lund, Sweden.
Per WändellDepartment of Neurobiology, Care Sciences and Society, Division of Family Medicine and Primary Care, Karolinska Institutet, Stockholm, Sweden.
Clas RehnbergDepartment of Learning, Informatics, Management and Ethics, Karolinska Institutet, Tomtebodavägen 18 A, LIME, 171 77, Stockholm, Sweden.

Funding

Forskningsrådet om Hälsa, Arbetsliv och Välfärd 2018-01567
6 · The paper itself

Abstract

aimThe use of direct-to-consumer (DTC) telemedicine consultations in primary healthcare has increased rapidly, in Sweden and internationally. Such consultations may be a low-cost alternative to face-to-face visits, but there is limited evidence on their effects on overall healthcare consumption. The aim of this study was to assess the short- and intermediate-term impact of DTC telemedicine consultations on subsequent primary healthcare consumption, by comparing DTC telemedicine users to matched controls in a Swedish setting.

methodsWe constructed a database with individual-level data on healthcare consumption, for all residents of Region Stockholm in 2018, by linking national and regional registries. The study population included all individuals who had ≥ 1 physician consultation (telemedicine or face-to-face) during the first half of 2018. DTC telemedicine users were matched 1:2 to controls who were non-users of DTC telemedicine but who had a traditional face-to-face consultation during the study period. The matching criteria were diagnosis and demographic and socioeconomic variables. An interrupted time series analysis was performed to compare the healthcare consumption of DTC telemedicine users to that of the control group.

resultsDTC telemedicine users increased their healthcare consumption more than controls. The effect seemed to be mostly short term (within a month), but was also present at the intermediate term (2-6 months after the initial consultation). The results were robust across age and disease groups.

conclusionThe results indicate that DTC telemedicine consultations increase the total number of physician consultations in primary healthcare. From a policy perspective, it is therefore important to further investigate for which diagnoses and treatments DTC telemedicine is suitable so that its use can be encouraged when it is most cost-efficient and limited when it is not. Given the fundamentally different models for reimbursement, there are reasons to review and possibly harmonise the incentive structures for DTC telemedicine and traditional primary healthcare.

Indexed as

PhysiciansTelemedicineDelivery of Health CareHumansReferral and ConsultationSwedene-healthHealthcare consumptionInterrupted time series analysisPrimary healthcareSwedenTelemedicine

Identifiers

PMID36823408
PMCPMC9950019

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Registered trials

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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.