Evidence map›Paper›PMID 41209802›Full record

ArticleFrontiers in psychology2025

RadioMe: an automated home-based radio, music playlist, and diary reminder system: Report on recruitment, music compilation, and listening, and preliminary testing of heart rate activated music.

Alexander Street, Paul Fernie, Jörg Christfried Fachner, Patrizia Di Campli San Vito, Nicolas Farina, Ming Hung Hsu, Leonardo Muller, Stephen Brewster, Sube Banerjee, Alexis Kirke and 3 more

Abstract read
In one paragraph

Article in Frontiers in psychology, 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

13 authors.

Alexander StreetAnglia Ruskin University, Cambridge, United Kingdom.
Paul FernieAnglia Ruskin University, Cambridge, United Kingdom.
Jörg Christfried FachnerAnglia Ruskin University, Cambridge, United Kingdom.
Patrizia Di Campli San VitoUniversity of Glasgow, Glasgow, United Kingdom.
Nicolas FarinaUniversity of Plymouth, Plymouth, United Kingdom.
Ming Hung HsuAnglia Ruskin University, Cambridge, United Kingdom.
Leonardo MullerAnglia Ruskin University, Cambridge, United Kingdom.
Stephen BrewsterUniversity of Glasgow, Glasgow, United Kingdom.
Sube BanerjeeUniversity of Nottingham, Nottingham, United Kingdom.
Alexis KirkeUniversity of Plymouth, Plymouth, United Kingdom.
Hari ShajiUniversity of Plymouth, Plymouth, United Kingdom.
Paulo ItaboraiUniversity of Plymouth, Plymouth, United Kingdom.
Eduardo Reck MirandaUniversity of Plymouth, Plymouth, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: One of the leading reasons for early admission to a care home in dementia is the escalation of neuropsychiatric symptoms (NPS), and music listening can help regulate these symptoms. Aims: RadioMe was a project designed for people living at home with dementia to build a system to help them maintain the highest quality of life there for as long as possible, with three functional components: 1. Streaming radio; 2. Providing pre-recorded spoken diary reminders; 3. interrupting the radio with pre-compiled playlists when a wrist-worn heart rate (HR) monitor detects stress. This article reports on the first two stages of this three-stage project: 1. recruitment, the music compilation process, responses of participants when listening, collection of daily agitation HR and behavioural data, and 2. preliminary testing of HR-activated music. Materials and methods: In stage 1, a playlist compilation process was co-designed with a lived experience group; HR and behavioural data were collected by participants when agitated to refine the algorithm used for automated music activation; 15 home visits were conducted to compile and test the playlists, collecting video, HR, and autobiographical data in each session to inform on playlist suitability for NPS management. Stage 2 involved installing systems to test automated playlist activation, and informal feedback was gathered on system functionality and user experience. Findings: The music compilation process enabled the creation of bespoke playlists. Sessional HR and video data had limited utility in supporting the suitability of music for NPS management. The methodology for collecting agitation data from participants failed, and the algorithm was not refined. Researchers compiled playlists with 25 people living with dementia, with a mean age of 73.8 years (

Indexed as

agitationautomated playlistsdementiaheart ratehome-basedmusic listening

Identifiers

PMID41209802
PMCPMC12592169

What Socratic holds

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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 Socratic graph.