The Mismanagement of Multiple Medications in the Older Adult Population

Native Hawaiians comprise 24.3% of Hawai‘i's population, but only 12.6% of the state's older adults. Few published studies have compared health indicators across ethnicities for the state's older adult population or focused on disparities of Native Hawaiian elders. The current study examines data from two state surveillance programs, with attention to cause of death and social-behavioral factors relevant to elders. Findings reveal that Native Hawaiians have the largest years of productive life lost and the lowest life expectancy, when compared to the state's other major ethnic groups. Heart disease and cancer are leading causes of premature mortality. Native Hawaiian elders are more likely to report behavioral health risks such as smoking and obesity, live within/below 100–199% of the poverty level, and find cost a barrier to seeking care. Indicated is the need for affordable care across the lifespan and health services continuum. Future research might explain behavioral factors as influenced by social determinants, including historical trauma on Native Hawaiian longevity.

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Educational and labor inclusion of the elderly in the UAEM

ECORFAN Journal Colombia ◽

10.35429/ejc.2020.6.11.25.31 ◽

2020 ◽

pp. 25-31

Author(s):

Alma Janeth Moreno-Aguirre ◽

Eliseo Guajardo-Ramos ◽

María Araceli Ortiz-Rodríguez ◽

Ulises Delgado-Sánchez

Keyword(s):

Higher Education ◽

Psychosocial Factors ◽

Older Adult ◽

Adult Population ◽

The Elderly ◽

Inclusion Process ◽

Older Adult Population

Objective. Analyze the process of educational and labor inclusion of the elderly in higher education of the UAEM. Methodology. An analysis of the process of educational and labor inclusion in the older adult population who are workers and students of the UAEM was carried out. The needs they present, the conditions in which they are found, and the supports provided were identified. This analysis was carried out from a cognitive, neurobiological perspective with or without the presence of disability or chronicdegenerative disease; as well as the search for socioaffective indicators or other psychosocial factors that may impact this inclusion process. Contribution. The results obtained will allow establishing strategies to improve the process of educational and labor inclusion in this population considered as vulnerable.

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COLAEVA: Visual Analytics and Data Mining Web-Based Tool for Virtual Coaching of Older Adult Populations

Sensors ◽

10.3390/s21237991 ◽

2021 ◽

Vol 21 (23) ◽

pp. 7991

Author(s):

Jon Kerexeta Sarriegi ◽

Andoni Beristain Iraola ◽

Roberto Álvarez Sánchez ◽

Manuel Graña ◽

Kristin May Rebescher ◽

...

Keyword(s):

Older Adults ◽

Older Adult ◽

Visual Analytics ◽

Web Application ◽

Adult Population ◽

Research Area ◽

Web Based ◽

Virtual Coaching ◽

Evolution Analysis ◽

Older Adult Population

The global population is aging in an unprecedented manner and the challenges for improving the lives of older adults are currently both a strong priority in the political and healthcare arena. In this sense, preventive measures and telemedicine have the potential to play an important role in improving the number of healthy years older adults may experience and virtual coaching is a promising research area to support this process. This paper presents COLAEVA, an interactive web application for older adult population clustering and evolution analysis. Its objective is to support caregivers in the design, validation and refinement of coaching plans adapted to specific population groups. COLAEVA enables coaching caregivers to interactively group similar older adults based on preliminary assessment data, using AI features, and to evaluate the influence of coaching plans once the final assessment is carried out for a baseline comparison. To evaluate COLAEVA, a usability test was carried out with 9 test participants obtaining an average SUS score of 71.1. Moreover, COLAEVA is available online to use and explore.

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