Ayalon Liat, Yahav Inbal, Lesser Ofrit
Louis and Gabi Weisfeld, School of Social Work, Bar Ilan University, Ramat Gan, Israel.
Graduate School of Business Administration, Bar Ilan University, Ramat Gan, Israel.
Innov Aging. 2018 Sep 26;2(3):igy024. doi: 10.1093/geroni/igy024. eCollection 2018 Sep.
The present study describes whole social networks in 4 adult day care centers (ADCCs) and 4 continuing care retirement communities (CCRCs) in Israel.
Each respondent received a list of names of all individuals receiving services in the respective ADCC or CCRC and was asked to indicate whom he/she knows from the list. We derived whole social network properties and used hierarchical cluster analysis to group network settings. We further examined the ability of the social network data to classify respondents as members of either an ADCC or a CCRC.
Many social network properties were more favorable in CCRCs than in ADCCs. A striking finding of the present study is that one can classify with a relatively high degree of accuracy a respondent as belonging to an ADCC or a CCRC, simply based on his or her social properties (specifically, number of people who know the participant and are known by the participant).
Despite some similarities between CCRCs and ADCCs, CCRCs likely allow for more inclusive and active social relations. This information should be valuable to administrators and care providers.
本研究描述了以色列4家成人日托中心（ADCC）和4家持续照料退休社区（CCRC）中的完整社会网络。
每位受访者都收到了各自所在ADCC或CCRC中所有接受服务人员的名单，并被要求指出自己认识名单上的哪些人。我们得出了完整社会网络的属性，并使用层次聚类分析对网络环境进行分组。我们进一步研究了社会网络数据将受访者分类为ADCC或CCRC成员的能力。
许多社会网络属性在CCRC中比在ADCC中更有利。本研究的一个显著发现是，仅根据受访者的社会属性（具体而言，认识该参与者且被该参与者认识的人数），就可以相对准确地将其分类为属于ADCC还是CCRC。
尽管CCRC和ADCC之间存在一些相似之处，但CCRC可能允许建立更具包容性和活跃性的社会关系。这些信息对管理人员和护理人员应该是有价值的。
