Evidence map›Paper›PMID 41970519›Full record

ReviewFrontiers in digital health2026

Practical templates for digital health ethics applications in Sweden: lessons from a sensor-based monitoring study.

Samaneh Zolfaghari, Rose-Marie Johansson-Pajala, Lena Marmstål Hammar, Masoud Daneshtalab

Abstract readReview
In one paragraph

Review in Frontiers in digital health, 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

4 authors.

Samaneh ZolfaghariSchool of Innovation, Design and Engineering, Mälardalen University, Västerås, Sweden.
Rose-Marie Johansson-PajalaSchool of Health, Care and Social Welfare, Mälardalen University, Västerås, Sweden.
Lena Marmstål HammarSchool of Health, Care and Social Welfare, Mälardalen University, Västerås, Sweden.
Masoud DaneshtalabSchool of Innovation, Design and Engineering, Mälardalen University, Västerås, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obtaining ethical approval for digital health research involving vulnerable populations presents significant challenges for researchers, particularly when navigating complex regulatory frameworks like Sweden's ethical review system. Despite official guidelines, researchers often struggle to translate general principles into concrete application documents that satisfy review authorities. This paper presents practical, reusable templates developed through the successful preparation of an ethics application for a radar-based monitoring study of older adults in Sweden. The application, involving cross-border data handling and vulnerable populations, received first-submission approval from the Swedish Ethical Review Authority (Etikprövningsmyndigheten) without reviewer comments. We provide structured templates for key application sections, identify common pitfalls, and offer evidence-based guidance for researchers preparing similar applications. These resources are practice-grounded (one approved applications plus practice-based reflections) and are intended to reduce administrative burden and improve application quality; they should be adapted to local institutional requirements.

Indexed as

digital healthethics applicationolder adultsresearch ethicssensor-based monitoringSwedentemplates

Identifiers

PMID41970519
PMCPMC13065677

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.