Use of long-term care services in a universal welfare state - On the importance of age at migration

Social and Regional Factors Predict the Likelihood of Admission to a Nursing Home After Acute Hospital Stay in Older People With Chronic Health Conditions: A Multilevel Analysis Using Routinely Collected Hospital and Census Data in Switzerland

“…They included age, gender, comorbidity level (Charlson Comorbity Index) and area deprivation (rurality, ethnicity, and deprivation index) in their model and found a higher risk associated with highest age, severe comorbidity and living in a non-deprived all-white area. The last result may be surprising, but it is in line with a broad consensus in the international literature, that migration background is negatively associated with the use of nursing homes ( 27 ). Agosti et al ( 30 ) analyzed the association between the likelihood of home or non-home discharge in 1,849 patients in Italy and the question of living alone or with others.…”

Social and Regional Factors Predict the Likelihood of Admission to a Nursing Home After Acute Hospital Stay in Elderly People with Chronic Health Conditions: A Multilevel Analysis Using Routinely Collected Hospital and Census Data in Switzerland.

“…They included age, gender, comorbidity level (Charlson Comorbity Index) and area deprivation (rurality, ethnicity and deprivation index) in their model and found a higher risk associated with highest age, severe comorbidity and living in a nondeprived all-white area. The last result may be surprising, but it is in line with a broad consensus in the international literature, that migration background is negatively associated with the use of nursing homes [23]. Agosti et al [26] analysed the association between the likelihood of home or non-home discharge in N=1,849 patients in Italy and the question of living alone or with others.…”

“…[18][19][20]. There exists a broad range of studies as well as meta-analyses on the question of social predictors of nursing home admissions or institutionalisations in the general population [9,11,[21][22][23][24]. In a meta-analysis including 77 studies analysing the predictors of nursing home admission in the general population of the USA, Gaugler et al [11] found strong evidence, that the presence of a spouse reduces and being white increases the likelihood of living in a nursing home, independent of health status and demographic variables; for living alone they found no clear evidence.…”

Access to Long-Term Care for Minority Populations: A Systematic Review

“…We screened 191 studies at the full-text stage and selected 59 studies for inclusion. Of the 60 studies, 42 were conducted in the United States (Ahmed, Ali, Lefante, Mullick, & Kinney, 2006; Ahmed, Allman, & DeLong, 2003; Akamigbo, 2007; Akamigbo & Wolinsky, 2006, 2007; Andel, Hyer, & Slack, 2007; Angel, Angel, Aranda, & Miles, 2004; Angel, Douglas, & Angel, 2003; Angelelli, Grabowski, & Mor, 2006; Aykan, 2002; Baxter, Bryant, Scarbro, & Shetterly, 2001; Berridge & Mor, 2017; Cai, Salmon, & Rodgers, 2009; Duffy, Jackson, Schim, Ronis, & Fowler, 2006; Feng, Fennell, Tyler, Clark, & Mor, 2011; Friedman, Steinwachs, Rathouz, Burton, & Mukamel, 2005; Gandhi, Lim, Davis, & Chen, 2017; Gaugler, Kane, Kane, & Newcomer, 2006; Gaugler, Leach, Clay, & Newcomer, 2004; Goodwin, Howrey, Zhang, & Kuo, 2011; Harris, 2007; Harris & Cooper, 2006; Iwasaki, Pierson, Madison, & McCurry, 2016; Jackson, Johnson, & Roberts, 2008; Jang, Kim, Chiriboga, & Cho, 2008; Kersting, 2001a,b; Liu, Wissoker, & Swett, 2007; McCormick et al, 2002; McLaughlin, Elahi, Ciesielski, & Pomerantz, 2016; Miller, Schneider, & Rosenheck, 2011; Min, 2005; Putney, Keary, Hebert, Krinsky, & Halmo, 2018; Quigley, 2017; Riley, 2019; Rodriguez, 2004; Sharma, 2017; Spillman & Long, 2009; Stein, Beckerman, & Sherman, 2010; Stevens et al, 2004; Temple, Andel, & Dobbs, 2010; Yaffe et al, 2002), seven in Canada (Brotman, Ryan, & Cormier, 2003; Forgues, Doucet, & Noël, 2011; Gui & Koropeckyj-Cox, 2016; Kortes-Miller, Boulé, Wilson, & Stinchcombe, 2018; Lai, 2004; Metz, 2007; Qureshi et al, 2021), three in Norway (Arora, Rechel, Bergland, Straiton, & Debesay, 2020; Czapka & Sagbakken, 2020; Hanssen & Tran, 2018), two in Australia (Basic, Shanley, & Gonzales, 2017; Waling et al, 2019), two in Sweden (Heikkilä & Ekman, 2003; Innes, 2020), and one each in Belgium (Ahaddour, van den Branden, & Broeckaert, 2016…”

“…Among one minority group, these studies evaluated differences between those who were admitted to long-term care and those who were not, without a comparison with a "majority" population (Angel et al, 2003(Angel et al, , 2004Gaugler et al, 2004). Studies examined admissions among Mexican-Americans (Angel et al, 2003(Angel et al, , 2004, Older migrants to Sweden (Innes, 2020), and African Americans (Gaugler et al, 2004). In three of these studies, long-term care admission increased with older age, eligibility for public health insurance, male gender, being widowed, limitations in performing activities of daily living, cognitive impairment, and family inability to manage care at home (Angel et al, 2003, Gaugler et al, 2004.…”