Evidence map›Paper›PMID 40755930›Full record

ReviewmHealth2025

Telemonitoring and self-management for digital hypertension management: is there a preferred method?

Nicolas Postel-Vinay, Roland Asmar, Olivier Steichen

Abstract readReview
In one paragraph

Review in mHealth, 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
–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

3 authors.

Nicolas Postel-VinayAssistance Publique Hôpitaux de Paris, Hypertension Unit, European Georges Pompidou Hospital, Paris, France.
Roland AsmarResearch Department, Foundation-Medical Research Institutes (F-MRI), Geneva, Switzerland.
Olivier SteichenAssistance Publique Hôpitaux de Paris, Sorbonne Université, Tenon Hospital, Internal Medicine Department, Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Given the rise of telemonitoring and self-management, experts debate the respective advantages and disadvantages of these two approaches. To date, no study has directly compared the efficiency or cost-effectiveness of blood pressure (BP) telemonitoring initiated and supervised by healthcare professionals (HCPs) and self-management of patients autonomously following a prespecified plan, but both have been compared to standard in-office BP management. A 2017 meta-analysis showed that telemonitoring leads to faster BP reduction and a higher rate of patients reaching their BP target than standard care. A 2023 meta-analysis found that digital health intervention to assist patients, such as short message services (SMS), smartphone apps, and websites, led to a larger BP decrease compared to usual care but the high variability in study designs and potential biases temper these results. Currently, the evidence supporting self-management for BP control is less compelling than for telemonitoring. But clinical trials may not fully reflect real-world scenarios. Economic evaluations have not clearly shown that telemonitoring is more cost-effective than standard care. In some studies, healthcare costs were even higher in the telemonitoring group, although this must be weighed against the benefits. On the opposite, some digital self-management tools do not collect identifiable user information, therefore face fewer regulatory constraints, and finally are less costly. Telemonitoring requires significant involvement and time to devote from HCPs to manage data and respond to alerts, raising concerns about increased workload. On the opposite, self-management

Indexed as

digital interventionHypertensionself-managementtelemonitoring

Identifiers

PMID40755930
PMCPMC12314696

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.