@conference {
    orvium-62257f1976cff8c5d2559df3,
    title = "The association between the shape of Long-Term Care Units and residents’ wellbeing",
    abstract = "The increasing number of older adults and the ones needing 24-hour assistance and hence liv-ing in long-term care facilities (LTCFs) has led to the development of well-being models that acknowledge the environment as an important factor the influences well-being. Acknowledging this importance, numerous studies on the effects of the environment in LTCFs on well-being among older residents have enriched the knowledge on environmental variables affecting well-being. These studies have yielded conflicting results on topics such as the recommended hallway shape and optimal nursing-station position. Moreover, complying environmental as-sessment tools that rely on different amounts and combinations of the researched variables were formed. Most of these tools assess the variables in a dichotomous manner (either the var-iable is present or not); thus, the significance and weight of each variable are overlooked. A need for an additional quantitative measurement tool led to the development of the Psy-cho-Social Evaluation Tool (PSET) (Rom et al., 2022), which measures the effect of the units’ physical layout on well-being. By analyzing architectural plans from 40 long-term care units with the PSET, the current study demonstrates how the effect of physical layout on well-being is re-lated to various variables in different domains. To demonstrate this, this paper focuses on con-flicting recommendations regarding hallway shape, which affects the overall unit layout during the design process. We argue that all physical layout variables related to well-being should be measured during the design process and viewed as a part of the bank of resources since one variable (like hallway shape) is not sufficient to predict how LTCF units support residents’ well-being.",
    keywords = "well-being, assessment tools, the Social Production Function, Long-term care units, session 2A",
    author = "Yifat Rom and Yuval  Plagi and Eliyahu Greenberg and Michal  Isaacson",
    year = "2022",
    doi = "10.24404/62257f1976cff8c5d2559df3",
    language = "English",
    url = "https://dapp.orvium.io/deposits/62257f1976cff8c5d2559df3/view",
}