Evidence map›Paper›PMID 39180041›Full record

ArticleBMC medical informatics and decision making2024

Rehab-AMD: co-design of an application for visual rehabilitation and monitoring of Age-related Macular Degeneration.

Guadalupe González-Montero, María Guijarro Mata-García, Carlos Moreno Martínez, Joaquín Recas Piorno

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Article in BMC medical informatics and decision making, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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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.

Guadalupe González-MonteroDepartment Optometría y Visión, Complutense University of Madrid, C. de Arcos de Jalón, 118, Madrid, 28037, Spain.
María Guijarro Mata-GarcíaDepartment of Computer Architecture and Automation, Complutense University of Madrid, Calle del Prof. José García Santesmases, 9, Madrid, 28040, Spain. mguijarro@ucm.es.
Carlos Moreno MartínezDepartment de Ciencia, Computación y Tecnología, Universidad Europea, C. Tajo, Villaviciosa de Odón, 28670, Madrid, Spain.
Joaquín Recas PiornoDepartment of Computer Architecture and Automation, Complutense University of Madrid, Calle del Prof. José García Santesmases, 9, Madrid, 28040, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe increasing demand for remote medical care, driven by digital healthcare advancements and the COVID-19 pandemic, necessitates effective solutions tailored to patients and healthcare practitioners. Co-design, involving collaboration between software developers, patients, and healthcare practitioners, prioritizes end-user needs. Research indicates that integrating patient perspectives enhances user experience and usability. However, its application in healthcare has been limited to small projects. This work focuses on co-designing a technological solution to enhance the monitoring and visual rehabilitation of individuals with Age-Related Macular Degeneration (AMD), a condition that significantly impacts the quality of life in people over 60. Current vision rehabilitation systems lack personalization, motivation, and effective progress monitoring. Involving patients and healthcare practitioners in the design process aims to ensure the final product meets their needs.

methodsThe project employs iterative and collaborative principles, involving a vision rehabilitation expert and two AMD patients as active users in the application's development and validation. The process begins by establishing requirements for user accounts and rehabilitation exercises. It continues with an initial approach extended through user validation. Co-design is facilitated by specific workshops marking each project iteration, totaling four workshops, along with continuous communication sessions between experts and developers to validate design decisions. Initial requirements gathering and constant feedback from end-users, the visual rehabilitator, and patients are crucial for refining the product effectively.

resultsThe workshops produced a prototype featuring a test to monitor changes and progression and 15 visual rehabilitation exercises. Numerous patient and vision rehabilitation-driven software modifications led to a final design that is responsive and adaptive to end-user needs.

conclusionsThe Rehab-AMD pilot project aims to develop a collaborative and adaptive software solution for AMD rehabilitation by actively involving stakeholders and applying iterative design principles. Co-design in the Rehab-AMD solution proves to be a methodology that identifies usability issues and needs from the initial design stages. This approach ensures that software developers create a final product that is genuinely useful and manageable for people with AMD and the targeted vision rehabilitators.

Indexed as

Macular DegenerationCOVID-19HumansSoftware DesignTelerehabilitationArtificial intelligenceCo-designMobile applicationTechnological solutionVision rehabilitators

Identifiers

PMID39180041
PMCPMC11342643

What OpenQuestion holds

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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.