Evidence map›Paper›PMID 40838960›Full record

Trial reportJMIR cancer2025

Comparing the Costs of Surveillance of Early-Stage Breast Cancer by Digital or Traditional Follow-Up Methods: Randomized Crossover Study.

Maria Peltola, Carl Blomqvist, Niilo Färkkilä, Paula Poikonen-Saksela, Johanna Mattson

Abstract readRandomized Controlled TrialComparative Study
In one paragraph

Trial report in JMIR cancer, 2025. 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

5 authors.

Maria PeltolaHelsinki University Hospital Comprehensive Cancer Center, University of Helsinki, Haartmaninkatu 4, building 2, P.O. Box 180, Helsinki, 00029 HUS, Finland, 358 94711.ORCID 0000-0001-6534-7054
Carl BlomqvistHelsinki University Hospital Comprehensive Cancer Center, University of Helsinki, Haartmaninkatu 4, building 2, P.O. Box 180, Helsinki, 00029 HUS, Finland, 358 94711.ORCID 0000-0003-3041-1938
Niilo FärkkiläAmgen Ab, Espoo, Finland.ORCID 0000-0002-1366-5699
Paula Poikonen-SakselaHelsinki University Hospital Comprehensive Cancer Center, University of Helsinki, Haartmaninkatu 4, building 2, P.O. Box 180, Helsinki, 00029 HUS, Finland, 358 94711.ORCID 0000-0003-2274-1937
Johanna MattsonHelsinki University Hospital Comprehensive Cancer Center, University of Helsinki, Haartmaninkatu 4, building 2, P.O. Box 180, Helsinki, 00029 HUS, Finland, 358 94711.ORCID 0000-0002-9719-9110

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: An increasing number of early-stage breast cancer (EBC) survivors and limited health care resources have raised interest in developing digital methods for communication between patients and health care personnel. In 2015, Helsinki University Hospital (HUS) Comprehensive Cancer Center (CCC) launched a digital solution called Noona (Helsinki University Hospital; Noona Healthcare) for patients with cancer, which allows patients to report their symptoms or side effects and ask questions with a computer or smart mobile device. Objective: In this study, we compare the cost and contacts of surveillance of EBC by 2 follow-up methods: digital solution and phone calls during their first year of follow-up outside preplanned visits. Methods: This was a prospective, open-label, randomized crossover study. After postoperative radiotherapy, patients with EBC were randomized to surveillance with either a digital solution or phone calls in addition to routine follow-up visits. After 6 months, the patient switched to the alternative follow-up method. All patients were thus exposed to both follow-up methods, and the order was determined by randomization. Hospital contacts and the costs of specialized health care were extracted from the Ecomed database of the Helsinki and Uusimaa Hospital District. The Ecomed database records all hospital costs. The costs of follow-up visits and diagnostics at the HUS CCC were analyzed in a repeated measurements general linear model analysis. Results: The study extended from July 2015 to January 2017. Of 765 patients, 734 were included in the final analyses. For the digital solution group, the mean number of contacts per patient was 1.06 (SD 1.57) during the first 6-month period and 1.22 (SD 1.04) in the second period, with associated costs of €269 (US $313.21) and €311 (US $362.11). Similarly, in the phone call group, the mean number of contacts increased from 0.95 (SD 1.39) to 1.24 (SD 1.14) with the costs of €236 (US $274.78) and €344 (US $400.53), respectively. There were no statistically significant differences in the number of outpatient contacts (P=.46 and P=.35) or total costs (P=.80 and P=.12) between the 2 follow-up methods or randomization groups. Conclusions: We did not find any statistically significant differences in the total cost of follow-up of EBC by digital solution or phone calls. The number of visits and costs were higher during the latter follow-up period, probably due to the scheduled routine 1-year visit. There were more visits and higher costs in the digital solution group during the first 6 months, but these were higher in the phone call group during the latter 6-month period. This shows that the digital solution may enable faster access to outpatient services than conventional follow-up.

Indexed as

Breast NeoplasmsTelemedicineAdultAgedCross-Over StudiesFemaleFinlandFollow-Up StudiesHealth Care CostsHumansMiddle AgedNeoplasm StagingProspective Studiesbreast cancercheck-upscommunicationcostdigital appdigital solutionelectronic patient-reported outcomeePROfollow-upfollow-up costslinear analysismHealthmobile appoutpatientphone callsradiotherapyrandomized studysmartphonesurveillance

Identifiers

PMID40838960
PMCPMC12369445

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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.