Evidence map›Paper›PMID 42694213›Full record

ArticleFrontiers in medicine2026

Participatory co-design of pediatric rehabilitation technologies: a practice-based perspective.

Arie Melamed Yekel, Naomi Gefen, Patrice L Weiss

Abstract read
In one paragraph

Article in Frontiers in medicine, 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

3 authors.

Arie Melamed YekelALYN Pediatric & Adolescent Rehabilitation Hospital, Jerusalem, Israel.
Naomi GefenALYN Pediatric & Adolescent Rehabilitation Hospital, Jerusalem, Israel.
Patrice L WeissALYN Pediatric & Adolescent Rehabilitation Hospital, Jerusalem, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digital rehabilitation technologies are rapidly expanding across pediatric healthcare, yet many innovations fail to achieve sustained clinical adoption. In pediatric rehabilitation, this translation gap is amplified by heterogeneity in diagnoses and developmental stages, the need for family-centered care, and the practical constraints of clinical workflows. In this Perspective article, we argue that participatory co-design, an iterative process that actively involves clinicians, children, caregivers, and developers, incorporating stakeholder lived experience across the technology lifecycle, can reduce implementation failure and accelerate safe translation from concept to care. The purpose of this article is to present a structured, clinic-embedded participatory design framework spanning validated need identification, co-design, prototype testing, implementation support, and early-stage clinical validation. We illustrate this framework through two case examples from ALYN Pediatric & Adolescent Rehabilitation Hospital: 1. Headovations head support systems (Headaloft and the 360 multidirectional head support), and 2. the Pediatric Active-Passive Trainer (P-APT). Drawing on these experiences, we provide actionable recommendations for innovators, clinicians, and regulators regarding stakeholder engagement, usability and human factors evidence, documentation, and adoption metrics. We conclude that participatory co-design within pediatric rehabilitation hospitals represents a practical, regulatory-aligned pathway to foster technologies that are clinically meaningful, scalable, and sustainable in real-world care.

Indexed as

co-designdigital healthhuman factorsimplementation sciencemedical devicesparticipatory designpediatric rehabilitationregulatory science

Identifiers

PMID42694213
PMCPMC13538880

What OpenQuestion holds

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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.