Building a responsible innovation toolkit as project legacy

Stahl, Bernd Carsten; Bitsch, Lise

doi:10.3389/frma.2023.1112106

Cited by 3 publications

(4 citation statements)

References 42 publications

(47 reference statements)

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“…Moreover, in the subsample who completed the medical and family history questionnaire (n = 2,013), the presence of subjective memory complaints with associated worries was also statistically associated with a worse performance on the FACEmemory test (Table 4). 1 Bonferroni corrected p-value for multiple comparisons; 2 woman = 1 and man = 0; 3 Spain = 1 and other country = 0; 4 Spanish = 1 and other language = 0; 5 Open House Initiative questionnaire completed = 1 and not completed = 0.…”

Section: Facememory Datamentioning

confidence: 99%

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FACEmemory®, an Innovative Online Platform for Episodic Memory Pre-Screening: Findings from the First 3,000 Participants

Alegret,

García-Gutiérrez,

Muñoz

et al. 2024

JAD

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Background: The FACEmemory® online platform comprises a complex memory test and sociodemographic, medical, and family questions. This is the first study of a completely self-administered memory test with voice recognition, pre-tested in a memory clinic, sensitive to Alzheimer’s disease, using information and communication technologies, and offered freely worldwide. Objective: To investigate the demographic and clinical variables associated with the total FACEmemory score, and to identify distinct patterns of memory performance on FACEmemory. Methods: Data from the first 3,000 subjects who completed the FACEmemory test were analyzed. Descriptive analyses were applied to demographic, FACEmemory, and medical and family variables; t-test and chi-square analyses were used to compare participants with preserved versus impaired performance on FACEmemory (cut-off = 32); multiple linear regression was used to identify variables that modulate FACEmemory performance; and machine learning techniques were applied to identify different memory patterns. Results: Participants had a mean age of 50.57 years and 13.65 years of schooling; 64.07% were women, and 82.10% reported memory complaints with worries. The group with impaired FACEmemory performance (20.40%) was older, had less schooling, and had a higher prevalence of hypertension, diabetes, dyslipidemia, and family history of neurodegenerative disease than the group with preserved performance. Age, schooling, sex, country, and completion of the medical and family history questionnaire were associated with the FACEmemory score. Finally, machine learning techniques identified four patterns of FACEmemory performance: normal, dysexecutive, storage, and completely impaired. Conclusions: FACEmemory is a promising tool for assessing memory in people with subjective memory complaints and for raising awareness about cognitive decline in the community.

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Section: Facememory Datamentioning

confidence: 99%

“…With the approval of the first disease-modifying therapies for AD [ 4 ], the current challenge consists of detecting people at risk of developing AD to apply precision medicine before irreparable brain damage occurs. This challenge requires public engagement, that is, doing research that is relevant to society [ 5 ].…”

Section: Introductionmentioning

confidence: 99%

FACEmemory®, an Innovative Online Platform for Episodic Memory Pre-Screening: Findings from the First 3,000 Participants

Alegret,

García-Gutiérrez,

Muñoz

et al. 2024

JAD

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“…Cluster 4 Female = 1 and male = 0; 5 Version A = 1 and version B = 0; 6 binary variable from the Open House Initiative questionnaire where 1 indicates an a rmative answer and 0 indicates a negative answer; LN1: Names recalled in learning 1; LN2: Names recalled in learning 2; LO1: Occupations recalled in learning 1; LO2: Occupations recalled in learning 2; RSN: Names in short recall; RSO: Occupations in short recall; RLN: Names in long-term recall; RLO: Occupations in long-term recall; FR: Face recognition; REN: Names correctly recognized; REO: Occupations correctly recognized.…”

Section: Variablementioning

confidence: 99%

“…current challenge consists of detecting people at risk of developing AD to apply precision medicine before irreparable brain damage occurs. This challenge requires public engagement, that is, doing research that is relevant to society [5].…”

mentioning

confidence: 99%

FACEmemory®, an innovative online platform for episodic memory pre-screening: findings from the first 3,000 participants

Alegret

García‐Gutiérrez

Muñoz

et al. 2023

Preprint

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Background: The FACEmemory® online platform comprises a novel, self-administered memory test with embedded voice recognition technology and a questionnaire with relevant sociodemographic and medical/family history data. This is the first study about a completely self-administered memory test with voice recognition, pre-tested in a memory clinic, offered freely worldwide on a website platform. The aims of this study are to investigate the demographic and clinical variables associated with FACEmemory total score, and to identify differentiable patterns of memory performance among the first 3,000 individuals who completed the FACEmemory. Methods: A marketing campaign was carried out to make FACEmemory accessible worldwide to individuals whose native language was Spanish or Catalan. Data from the first 3,000 subjects over 18 years old who completed the FACEmemory were analysed. Descriptive analyses were applied to demographic, FACEmemory scores, and medical/family history variables reported in a questionnaire; t-test and chi-square analyses were used to compare participants with preserved (>31 points) versus impaired performance (<32) on total FACEmemory; and multiple linear regression was used to identify variables that modulate FACEmemory performance. Finally, Machine Learning techniques were applied to identify differentiable patterns of memory performance. Results: The study sample had a mean age of 50.57 years and 13.65 years of schooling. 64.1% were women and most (82.1%) participants reported memory complaints that worried them. The group with impaired FACEmemory performance (20.4%) was older, had fewer years of formal education and a higher prevalence of hypertension, diabetes mellitus, dyslipidemia, and family history of a neurodegenerative disease compared with the group with preserved FACEmemory performance. Multiple regression analysis showed that age, schooling, sex, country and completion of the questionnaire were statistically associated with FACEmemory total score. Finally, Machine Learning techniques identified 4 patterns of FACEmemory performance: normal, dysexecutive, storage and completely impaired. Conclusions: FACEmemory is a promising tool for the pre-screening of people with subjective memory complaints in the community in order to identify those with objective memory deficits and raise awareness about cognitive decline. The FACEmemory website platform is an opportunity to facilitate a free, online and self-administered episodic memory assessment to Spanish or Catalan speaking individuals worldwide, and potentially extensible to other languages.

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Tooling with ethics in technology: a scoping review of responsible research and innovation tools

Goñi,

Rodrigues,

Parga

et al. 2024

Journal of Responsible Innovation

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Building a responsible innovation toolkit as project legacy

Cited by 3 publications

References 42 publications

FACEmemory®, an Innovative Online Platform for Episodic Memory Pre-Screening: Findings from the First 3,000 Participants

FACEmemory®, an Innovative Online Platform for Episodic Memory Pre-Screening: Findings from the First 3,000 Participants

FACEmemory®, an innovative online platform for episodic memory pre-screening: findings from the first 3,000 participants

Tooling with ethics in technology: a scoping review of responsible research and innovation tools

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