Cargando…

Patient-facing genetic and genomic mobile apps in the UK: a systematic review of content, functionality, and quality

Close relative (consanguineous) marriage is widely practised globally, and it increases the risk of genetic disorders. Mobile apps may increase awareness and education regarding the associated risks in a sensitive, engaging, and accessible manner. This systematic review of patient-facing genetic/gen...

Descripción completa

Detalles Bibliográficos
Autores principales: Gasteiger, Norina, Vercell, Amy, Davies, Alan, Dowding, Dawn, Khan, Naz, Davies, Angela
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8941009/
https://www.ncbi.nlm.nih.gov/pubmed/35182377
http://dx.doi.org/10.1007/s12687-022-00579-y
_version_ 1784673018821214208
author Gasteiger, Norina
Vercell, Amy
Davies, Alan
Dowding, Dawn
Khan, Naz
Davies, Angela
author_facet Gasteiger, Norina
Vercell, Amy
Davies, Alan
Dowding, Dawn
Khan, Naz
Davies, Angela
author_sort Gasteiger, Norina
collection PubMed
description Close relative (consanguineous) marriage is widely practised globally, and it increases the risk of genetic disorders. Mobile apps may increase awareness and education regarding the associated risks in a sensitive, engaging, and accessible manner. This systematic review of patient-facing genetic/genomic mobile apps explores content, function, and quality. We searched the NHS Apps Library and the UK Google Play and Apple App stores for patient-facing genomic/genetic smartphone apps. Descriptive information and information on content was extracted and summarized. Readability was examined using the Flesch–Kincaid metrics. Two raters assessed each app, using the Mobile App Rating Scale (MARS) and the IMS Institute for Healthcare Informatics functionality score. A total of 754 apps were identified, of which 22 met the eligibility criteria. All apps intended to inform/educate users, while 32% analyzed genetic data, and 18% helped to diagnose genetic conditions. Most (68%) were clearly about genetics, but only 14% were affiliated with a medical/health body or charity, and only 36% had a privacy strategy. Mean reading scores were 35 (of 100), with the average reading age being equivalent to US grade 12 (UK year 13). On average, apps had 3.3 of the 11 IMS functionality criteria. The mean MARS quality score was 3.2 ± 0.7. Half met the minimum acceptability score (3 of 5). None had been formally evaluated. It was evident that there are few high-quality genomic/genetic patient-facing apps available in the UK. This demonstrates a need for an accessible, culturally sensitive, evidence-based app to improve genetic literacy within patient populations and specific communities. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12687-022-00579-y.
format Online
Article
Text
id pubmed-8941009
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Springer Berlin Heidelberg
record_format MEDLINE/PubMed
spelling pubmed-89410092022-04-08 Patient-facing genetic and genomic mobile apps in the UK: a systematic review of content, functionality, and quality Gasteiger, Norina Vercell, Amy Davies, Alan Dowding, Dawn Khan, Naz Davies, Angela J Community Genet Review Close relative (consanguineous) marriage is widely practised globally, and it increases the risk of genetic disorders. Mobile apps may increase awareness and education regarding the associated risks in a sensitive, engaging, and accessible manner. This systematic review of patient-facing genetic/genomic mobile apps explores content, function, and quality. We searched the NHS Apps Library and the UK Google Play and Apple App stores for patient-facing genomic/genetic smartphone apps. Descriptive information and information on content was extracted and summarized. Readability was examined using the Flesch–Kincaid metrics. Two raters assessed each app, using the Mobile App Rating Scale (MARS) and the IMS Institute for Healthcare Informatics functionality score. A total of 754 apps were identified, of which 22 met the eligibility criteria. All apps intended to inform/educate users, while 32% analyzed genetic data, and 18% helped to diagnose genetic conditions. Most (68%) were clearly about genetics, but only 14% were affiliated with a medical/health body or charity, and only 36% had a privacy strategy. Mean reading scores were 35 (of 100), with the average reading age being equivalent to US grade 12 (UK year 13). On average, apps had 3.3 of the 11 IMS functionality criteria. The mean MARS quality score was 3.2 ± 0.7. Half met the minimum acceptability score (3 of 5). None had been formally evaluated. It was evident that there are few high-quality genomic/genetic patient-facing apps available in the UK. This demonstrates a need for an accessible, culturally sensitive, evidence-based app to improve genetic literacy within patient populations and specific communities. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12687-022-00579-y. Springer Berlin Heidelberg 2022-02-19 2022-04 /pmc/articles/PMC8941009/ /pubmed/35182377 http://dx.doi.org/10.1007/s12687-022-00579-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Review
Gasteiger, Norina
Vercell, Amy
Davies, Alan
Dowding, Dawn
Khan, Naz
Davies, Angela
Patient-facing genetic and genomic mobile apps in the UK: a systematic review of content, functionality, and quality
title Patient-facing genetic and genomic mobile apps in the UK: a systematic review of content, functionality, and quality
title_full Patient-facing genetic and genomic mobile apps in the UK: a systematic review of content, functionality, and quality
title_fullStr Patient-facing genetic and genomic mobile apps in the UK: a systematic review of content, functionality, and quality
title_full_unstemmed Patient-facing genetic and genomic mobile apps in the UK: a systematic review of content, functionality, and quality
title_short Patient-facing genetic and genomic mobile apps in the UK: a systematic review of content, functionality, and quality
title_sort patient-facing genetic and genomic mobile apps in the uk: a systematic review of content, functionality, and quality
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8941009/
https://www.ncbi.nlm.nih.gov/pubmed/35182377
http://dx.doi.org/10.1007/s12687-022-00579-y
work_keys_str_mv AT gasteigernorina patientfacinggeneticandgenomicmobileappsintheukasystematicreviewofcontentfunctionalityandquality
AT vercellamy patientfacinggeneticandgenomicmobileappsintheukasystematicreviewofcontentfunctionalityandquality
AT daviesalan patientfacinggeneticandgenomicmobileappsintheukasystematicreviewofcontentfunctionalityandquality
AT dowdingdawn patientfacinggeneticandgenomicmobileappsintheukasystematicreviewofcontentfunctionalityandquality
AT khannaz patientfacinggeneticandgenomicmobileappsintheukasystematicreviewofcontentfunctionalityandquality
AT daviesangela patientfacinggeneticandgenomicmobileappsintheukasystematicreviewofcontentfunctionalityandquality