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Colleen Galambos

Researcher at University of Wisconsin–Milwaukee

Publications -  112
Citations -  2163

Colleen Galambos is an academic researcher from University of Wisconsin–Milwaukee. The author has contributed to research in topics: Health care & Social work. The author has an hindex of 25, co-authored 99 publications receiving 1821 citations. Previous affiliations of Colleen Galambos include McDaniel College & University of Tennessee.

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Resilience Theory: Theoretical and Professional Conceptualizations

TL;DR: In this article, the theoretical assumptions of resiliency theory and tests these assumptions through a qualitative research design were examined and 18 professionals were interviewed to gain a clearer understanding of what conditions practitioners thought act as buffers to life stress and contribute to coping and resilience.
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Sensor Technology to Support Aging in Place

TL;DR: The impact of registered nurse care coordination and technology on the ability of older adults to age in place and technology coupled with care coordination has improved clinical outcomes is investigated at the University of Missouri.
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Successfully Reducing Hospitalizations of Nursing Home Residents: Results of the Missouri Quality Initiative.

TL;DR: The MOQI achieved a 30% reduction in all-cause hospitalizations and statistically significant reductions in 4 single quarters of the 2.75 years of full implementation of the intervention for long-stay nursing home residents.
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Predictors of msw employment in gerontological practice

TL;DR: This paper explored factors influencing graduate social work students' employment in aging-related jobs following graduation using symbolic interactionism as the theoretical framework, and found that 20% of all graduates were employed in aging related positions and that the majority had contact with elders and used gerontological knowledge in their jobs, regardless of their age.
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Automated In-Home Fall Risk Assessment and Detection Sensor System for Elders

TL;DR: An unobtrusive, in-home sensor system that continuously monitors older adults for fall risk and detects falls could revolutionize fall prevention and care.