Novel Screening Tool Using Non-linguistic Voice Features Derived from Simple Phrases to Detect Mild Cognitive Impairment and Dementia.

Appropriate intervention and care in detecting cognitive impairment early are essential to effectively prevent the progression of cognitive deterioration. Diagnostic voice analysis is a noninvasive and inexpensive screening method that could be useful for detecting cognitive deterioration at earlier stages such as mild cognitive impairment. We aimed to distinguish between patients with dementia or mild cognitive impairment and healthy controls by using purely acoustic features (i.e., nonlinguistic features) extracted from two simple phrases. Voice was analyzed on 195 recordings from 150 patients (age, 45-95 years). We applied a machine learning algorithm (LightGBM; Microsoft, Redmond, WA, USA) to test whether the healthy control, mild cognitive impairment, and dementia groups could be accurately classified, based on acoustic features. Our algorithm performed well: area under the curve was 0.81 and accuracy, 66.7% for the 3-class classification. Thus, our vocal biomarker is useful for automated assistance in diagnosing early cognitive deterioration.

Self-assessed approach to improving school health in Niger.

INTRODUCTION: Award schemes and self-evaluation systems have been developed to implement the 'Health-Promoting School (HPS)' concept in European and Asian countries. While there have been many successes in these regions, the implementation of HPS in African countries has been minimal. This study evaluated the impact of a self-evaluation system on school health in Niger. METHODS: A school health activity guide was developed and distributed to 1999 primary schools in the Niger Tahoua region to raise awareness and solve problems related to school health and hygiene. The number of schools that planned or implemented health-related activities, and the budget and implementation status of their activities was compared over 3 years (before, soon after, and 1 year after distribution). Focus group discussions (FGDs) were also conducted targeting Conseillers Pédagogiques (CPs), who supervise primary schools and teachers, primary school principals and members of Comité de Gestion des Etablissement Scolaire (COGES), which is a type of school steering committee. RESULTS: The number of schools planning at least one health-related activity increased from 47% to 79% soon after distribution of the guide (p <0.001).The number of schools implementing activities increased from 44% to 65% one year after distribution (p <0.001). Health-related budget per school also increased after distribution (p <0.0001) and increases were maintained 1 year after the intervention (p=0.8414). Fulfilment or partial fulfilment rates for health-related activities were lower compared with other (non-health) activities in all three years (80%, 77% & 84% in health-related activities vs 88%, 90% & 91% in others; p <0.001, p <0.001, & p=0.004, respectively). Most FGD participants expressed a positive impression of the program and noted the usefulness of the guide. However, some respondents reported difficulties, especially in relation to budget. CONCLUSION: The introduction of a health activity guide for self-assessment was effective in increasing health-related activities in primary schools in Niger, where a simple monitoring system should be introduced to establish the HPS concept.