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1.
Trials ; 25(1): 444, 2024 Jul 03.
Artigo em Inglês | MEDLINE | ID: mdl-38961472

RESUMO

BACKGROUND: Mild cognitive impairment (MCI) involves cognitive decline beyond typical age-related changes, but without significant daily activity disruption. It can encompass various cognitive domains as the causes of MCI are diverse. MCI as well as frequent comorbid neuropsychiatric conditions like depression and anxiety affect individuals' quality of life. Early interventions are essential, and computerized cognitive training (cCT) is an established treatment method. This paper presents the protocol for the NeuroNation MED Effectiveness Study, evaluating the self-administered mobile cCT intervention ("NeuroNation MED") in individuals with MCI to assess training effects on cognitive domains, health competence, neuropsychiatric symptoms, psychological well-being, and the general application usability. METHODS: This study protocol presents a single-blinded multicenter randomized controlled trial that will be carried out in six study centers in Germany and Luxembourg. We included adults with MCI (existing F06.7 ICD-10-GM diagnosis and TICS ≥ 21 and ≤ 32). The intervention group will use a mobile, multi-domain cCT ("NeuroNation MED") for 12 weeks. Meanwhile, the wait list control group will receive standard medical care or no care. The eligibility of volunteers will be determined through a telephone screening. After completion of the baseline examination, patients will be randomly assigned to one of the experimental conditions in a 2:1 ratio. In total, 286 participants will be included in this study. The primary outcome is the change of cognitive performance measured by the index score of the screening module of the Neuropsychological Assessment Battery. Secondary outcomes are changes in the Cognitive Failures Questionnaire, Hospital Anxiety and Depression Scale, Health-49, Health Literacy Questionnaire, among others. All of the primary and secondary outcomes will be assessed at baseline and after the 12-week post-allocation period. Furthermore, the intervention group will undergo an assessment of the System Usability Scale, and the training data of the NeuroNation MED application will be analyzed. DISCUSSION: This study aims to assess the effectiveness of a mobile self-administered cCT in enhancing cognitive abilities among individuals diagnosed with MCI. Should the findings confirm the effectiveness of the NeuroNation MED app, it may confer possible benefits for the care management of patients with MCI, owing to the accessibility, cost-effectiveness, and home-based setting it provides. Specifically, the cCT program could provide patients with personalized cognitive training, educational resources, and relaxation techniques, enabling participants to independently engage in cognitive training sessions at home without further supervision. TRIAL REGISTRATION: German Clinical Trials Register DRKS00025133. Registered on November 5, 2021.


Assuntos
Cognição , Disfunção Cognitiva , Aplicativos Móveis , Estudos Multicêntricos como Assunto , Ensaios Clínicos Controlados Aleatórios como Assunto , Humanos , Disfunção Cognitiva/terapia , Disfunção Cognitiva/psicologia , Disfunção Cognitiva/diagnóstico , Método Simples-Cego , Resultado do Tratamento , Terapia Assistida por Computador/métodos , Fatores de Tempo , Qualidade de Vida , Alemanha , Idoso , Masculino , Feminino , Terapia Cognitivo-Comportamental/métodos , Treino Cognitivo
2.
Z Gerontol Geriatr ; 2023 Sep 05.
Artigo em Alemão | MEDLINE | ID: mdl-37668693

RESUMO

BACKGROUND: In addition to sociodemographic factors, action-theoretical constructs, such as technology acceptance and competence play an important role in technology use. OBJECTIVE: This study aimed to examine the associations between technology use, sociodemographic factors, action-theoretical constructs, and technology interest. MATERIAL AND METHODS: Data were collected from 585 study participants aged over 60 years from 14 surveys conducted between 2014 and 2020. A structural equation model was used to explain the relationships. RESULTS: The structural equation model with covariates of survey year, age, gender, and education (n = 585) yielded the following fit indices: comparative fit index (CFI) = 0.918, Tucker-Lewis index (TLI) = 0.894, Root Mean Square Error of Approximation (RMSEA) = 0.056 [95 % confidence interval: 0.050-0.063], Standardized Root Mean Square Residual (SRMR) = 0.079, χ2 = 3051.936 (p < 0.001), χ2/degrees of freedom (df) = 18.499. The strongest associations with technology use were found for technology acceptance and competence. Additionally, technology competence showed a significant association with technology interest. Gender and technology interest were not related to technology use but it was observed that men had higher levels of technology acceptance, control, competence, and interest. DISCUSSION: Taking technology competence beliefs into account plays a crucial role in understanding the technology usage and interest of older individuals. Additionally, gender-specific differences in the theoretical constructs of action and interest in technology have been revealed in the context of the digital divide.

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