- Research article
- Open Access
A longitudinal study looking at and beyond care recipient health as a predictor of long term care home admission
BMC Health Services Research volume 17, Article number: 709 (2017)
The unpaid care provided by informal caregivers allows care recipients to live longer in their homes, which often results in fewer unnecessary long term care home (LTCH) admissions. Although the relationship between care recipient’s health characteristics and institutionalization is well known, the influence of caregiver distress and caregiving coresidence and relationship on this outcome is less clear. This study examines the association of care recipient care needs, caregiver distress and caregiving coresidence and relationship with care recipient long term care home admission.
A total of 94,957 resident assessment instruments-home care (RAI-HC), completed between April 01st 2013 and April 01st, 2014 as part of a clinical practice by 14 Local Health Integration Networks (LHINs) in Ontario, Canada, were linked to LTCH admissions within 1 year after completion of the first RAI-HC assessment. Cox models were used to examine whether care recipient health care needs, caregiver distress and caregiving characteristics such as coresidence and relationship were associated with LTCH admission. Age, marital status and gender of the care recipient were included as covariates in the model.
Care recipient health care needs and age were the strongest predictors of LTCH admission followed by caregiver distress and caregiving coresidence and relationship. Care recipient marital status was not significant in the survival model. Interestingly, care recipients who were cared for by a coresiding adult child caregiver were less likely to be admitted to a LTCH than care recipients cared for by a spouse caregiver coresiding or not with care recipient. Hazard rates (HR) of admission for care recipients cared for by caregivers coresiding and with other type of relationship with care recipient were not significantly different than HR of care recipients cared for by coresiding child caregivers.
These results emphasize the influence of caregiver distress in LTCH admission and highlight the impact of caregiving relationship and coresidence on this outcome. Policy and decision makers should consider these findings when developing and evaluating interventions aiming to avoid LTCH admissions. Moreover, caregiving coresidence and relationship should be explored in future studies with similar aims, as this information has been neglected in past research.
The unpaid care provided by informal caregivers represents a substantial economic contribution to the health care system, especially considering the high cost of institutionalization into a long-term care home (LTCH) [1,2,3]. Caring for older individuals with high care needs often results in considerable burden on informal caregivers  that can increase distress or the perception that caring demands exceed their resources . These feelings of distress affect caregiver’s quality of life and their ability to continue caring activities, that eventually, leads to the institutionalization of the care recipient [6,7,8].
Care recipient health characteristics that demand extensive assistance or vigilance from a caregiver such as behavioral symptoms, activities of daily living (ADL) and cognitive impairment have been consistently associated with caregiver distress and institutionalization [9,10,11,12]. The latter association could be due to the presence of care recipient care needs that may not be easily manageable in a home care setting regardless of the caregiver’s willingness to provide care, when an LTCH admission becomes the best option for providing appropriate care [6, 13, 14]. Thus, it is paramount to untangle caregiver distress and care recipient health care needs in studies on predictors of LTCH admission by including these factors in multivariable models.
However, caregiver distress and care recipient health characteristics are not the only factors associated with a LTCH admission. Features related to the caregiving relationship with care recipient such as coresidence status and type of relationship (e.g., spouse, child), may also play a role in the institutionalization of the care recipient. For example, several studies reported that spouse caregivers are less likely to institutionalize their partners than non-spouse caregivers [15, 16] and they seem to have different reasons for institutionalization compared to caregivers with other type of relationship with care recipients such as adult child caregivers .
Because spouse caregivers are more likely to live with the care recipient than caregivers with other types of relationship, it is possible that coresidence influences caregiving experiences and ability to continue in the role since caregiver poor quality of life has been associated with coresidence [18,19,20]. However, there is also evidence that caregivers that do not coreside with their care recipients may be less committed to provide care than those coresiding. This has been particularly reported among older adults opting for having a stable relationship without living together (‘living apart together-LAT’) [21, 22]. With an aging population the number of older adults living this type of relationship is expected to increase  while its impact on institutionalization remains unknown.
Caregiving coresidence and relationship and its association with LTCH admission have not been discussed together in previous studies. Indeed, most research looking at predictors of LTCH have failed to include both caregiving related characteristics. Additionally, few studies have examined these characteristics together with caregiver distress and care recipient health care needs as predictors of LTCH admission [24, 25] or have used large datasets combined with advanced statistical models for this aim. This type of information is crucial for developing customized strategies to assist informal caregivers in their role and reduce avoidable care recipient institutionalization.
Thus, this study aims to perform an exploratory analysis by incorporating these variables (caregiving coresidence and type of relationship, caregiver distress and care recipient health characteristics) in a multilevel model to evaluate their likelihood of predicting LTCH admission among home care clients in Ontario. A variable combining caregiving coresidence and relationship (spouse, child, other) will be included in the model to better understand how these variables act together as predictors to LTCH admissions. It is expected that this variable will be significantly associated with institutionalization with an unknown direction. Moreover, it is expected that care recipients with high care needs and those cared for by distressed caregivers will be more likely to be admitted to LTCH.
Home and community care (HCC) agencies funded by 14 Local Health Integration Networks (LHINs) in Ontario assess the care needs of individuals living at home. Case managers or care coordinators working at these agencies develop customized care plans often involving a wide range of health-care professionals (e.g., nurses, physiotherapists, social workers, registered dieticians and personal support workers). Long-stay clients (> 60 days receiving care) typically receive their initial assessments (i.e., RAI-HC) during the first visit of the case manager.
This longitudinal observational study included the most recent clinical assessments of long-stay home care clients in Ontario to evaluate care recipient and caregiver characteristics associated with LTCH admissions.
To test the hypothesis of this longitudinal study, a total of 94,957 long-stay home care clients’ RAI-HC assessments were included in the analysis. They were completed between April 01st 2013 and April 01st, 2014 as part of a clinical practice by 14 LHINs (which constitutes the total number in the whole province). The most recent RAI-HC assessment occurring during the sample period was included in this analysis. Only assessments of individuals identified as residing in ‘Private home/apartment – with or without home care services’ were included in the dataset as other types of living arrangements such as assisted care living or group homes are not in the focus of this study. Assessments conducted in the hospital setting were excluded.
Demographic and health related information of long stay home care recipients admitted and not admitted to LTCH are presented in Table 1. Nurses or social workers working as case managers in the HCCs completed the majority of the assessments. The assessments were sent to the University of Waterloo by the Health Shared Services Ontario (HSSO) through a license agreement between these two organizations. To guarantee the anonymity of the data the dataset does not include any identifier at the individual level. Information on LTCH admissions was obtained from the Client Health and Related Information System (CHRIS), a web-based care recipient management system that collects information on home care clients’ admission and discharge. This dataset was sent to University of Waterloo by HSSO through the same process and agreements used for sharing the RAI-HC assessments.
Resident assessment instrument – home care (RAI-HC)
The RAI-HC is a standardized comprehensive tool used to assess the strengths, needs and preferences of home care clients living in the community.
Some of the assessed domains are related to function, health, social support and service use. This instrument has been widely used in North America (Canada and multiple states in the U.S.), Europe (Italy, Switzerland, Finland, Estonia, etc.), and Asia/Pacific Rim (Hong Kong, Singapore, Japan, Australia, New Zealand). The RAI-HC is part of a family of assessment systems developed by interRAI, a research collaborative from about 35 countries  dedicated to the improvement of quality and continuity of care across the health care sectors . The RAI-HC has been extensively validated [28,29,30] with several studies providing evidence on the good validity and reliability of items and scales derived from the RAI-HC [30,31,32]. Some of the RAI-HC scales and items that were used to describe care recipient clinical health and caregiver distress are presented below.
The Method for Assigning Priority Levels (MAPLe)
The Method for Assigning Priority Levels (MAPLe), an algorithm related to care recipient heath care needs, has been found to be predictive of both home care clients’ LTCH admission as well as caregiver distress [11, 14, 33, 34]. This algorithm, which is derived from RAI-HC, was developed to inform health care provider decisions about the urgency of need for care among home care clients and the allocation of home care resources. The scores range from 1 to 5 with higher scores indicating a higher priority for care.
The MAPLe algorithm was derived from a study sample including close to 5000 clients from Ontario . Dependent variables chosen as indirect indicators of ‘need’ for additional services and further derivation of MAPLe were: presence of signs of caregiver distress, rating oneself or being rated by others as being better off elsewhere and nursing home admissions. The final algorithm was validated using RAI-HC data from 7 countries and across Canadian provinces and include items related to: falls, behavioral symptoms, cognitive, activities of daily living (ADL) impairment and others. Further details on the derivation of MAPLe are explained elsewhere . The relationship between the MAPLe scores and caregiver distress is consistent with other studies showing care recipients’ health needs involving behavioral symptoms, ADL and cognitive impairment associated with caregiver distress [9,10,11].
Activities of daily living hierarchy scale (ADL-H)
The ADL Self-Performance Hierarchy Scale reflects the disablement process by grouping ADL performance levels into discrete stages of loss. The scale measures physical functioning by assessing the individual’s capacity to perform activities related to: eating, personal hygiene, dressing, and movement (transfer and locomotion). Validation of this scale has been previously reported [29, 30, 35].
Cognitive performance scale (CPS)
The CPS is a hierarchical index used to rate a person’s cognitive status. The scale includes items on short and long-term memory, ability to make decisions, communication skills, and functional performance and it has been validated against the Mini-Mental State Exam (MMSE) for the detection of cognitive impairment [29, 36,37,38,39].
Caregiver distress variable
This variable derives from two items in the RAI-HC that correspond to assessor judgement of the following statements: 1) ‘a caregiver is unable to continue in caring activities – e.g. decline in the health of the caregiver makes it difficult to continue’ or 2) ‘primary caregiver expresses feelings of distress, anger, or depression’. The caregiver distress indicator was jointly developed by interRAI and the Canadian Institute for Health Information and it has been used to report caregiver distress by different studies and organizations . Evidence from past studies has shown that this variable is associated with care recipient health symptoms that have been linked to caregiver distress [11, 14, 33, 34, 41].
In Ontario, a total of 14 LHINs provide home care services for the community. Although LHINs share similar provincial guidelines for the provision of care, they develop their own initiatives that may affect the amount of respite provided for caregivers or the care provided for their clients. In this context, the influence of caregiver distress on LTCH admission may be different for each LHIN as well as the relationship between caregiver distress and MAPLe scores. Thus, an exploratory analysis was performed to evaluate whether the association between caregiver distress and MAPLe scores vary among LHINs (n = 97,493).
Figure 1 shows the distribution of the average proportions of caregiver distress by MAPLe scores for 14 LHINs. The results indicate that although the relationship between these variables is consistent across LHINs, the average proportion of caregiver distress by MAPLe varies among them. Also, proportions of distressed caregivers by MAPLe are higher for care recipients admitted to LTCH.
These preliminary results indicated that the following analysis should consider variations in the relationship between caregiver distress, MAPLe scores and LTCH admissions among LHINs.
As a first step, a frequency analysis (chi square tests, p < 0.05) of RAI-HC items was performed to confirm whether the variables MAPLe, caregiver distress and caregiving variable were associated with LTCH admission and to examine whether there were other RAI-HC items that could be related to the response variable. Another study identified the items in the RAI-HC representing care recipient health characteristics associated with LTCH admission to become part of the MAPLe algorithm, which is strongly associated with institutionalization [33, 42]. This explains why no additional variables/items representing care recipient health characteristics associated to LTCH admission were identified.
Next, analysis of unadjusted models were performed to evaluate the strength of association between the independent variables identified in the frequency analysis and the dependent variable (LTCH admission) in the model. In addition, care recipient demographic information (age, gender and marital status) were also analysed in the unadjusted models as these variables were previously related to LTCH admission [43,44,45]. Moreover, based on preliminary analysis, a variable with 6 categories combining caregiving coresidence (yes/no) and type of relationship (spouse/child/other relationship) was created to facilitate the interpretation of the results.
Significant variables (P < 0.05) in the unadjusted models were included in the regression analysis of survival data based on the Cox proportional hazards models to identify the variables related to the hazard rates (HR) of LTCH admission. The regression parameters in the adjusted Cox model were estimated by using a model based covariance matrix estimate to account for the intracluster dependence . The results of model-based covariance matrix estimates have been reported instead of the robust sandwich estimates because of the small number of clusters (i.e., 14 LHINs) . The empirical model estimates may not be appropriate when the number of clusters is lower than 40 . Clients who were not admitted to a LTCH within 365 days of the initial assessment were right-censored, of the meaning that this information was still used to estimate model parameters even though these clients did not experience the event. Survival was measured as time in days starting from the RAI-HC assessment date until date of the event. A test of proportionality was performed to examine the main assumptions of the Cox proportional hazard model. Unadjusted variables were tested in the regression model before being included in the final Cox proportional hazard model for analysis. All statistical analyses were carried out using SAS version 9.4.
All variables tested in the unadjusted models (Table 2) were significant. Except for ‘marital status’, all the significant unadjusted variables (gender, age group, MAPLe, caregiver distress, coresidence by relationship) were significant in the final model (Table 3).
The highest HR of LTCH admission was observed for the care recipients with the highest care needs (MAPLe 5). Increased care recipient age was also related to an increased HR to be admitted to LTCH. Care recipients cared for by distressed caregivers showed higher chances to be institutionalized than those cared for by non-distressed caregivers.
Care recipients cared for by child caregivers coresiding had lower HR of institutionalization.
The HR of institutionalization of care recipients cared for by caregivers with other relationship and coresiding was not statistically different than the HR for those cared for by child caregivers coresiding. The HR of care recipient institutionalization was higher for those cared for by a spouse caregiver, regardless of living arrangement, and also for those cared for by caregivers with other type of relationship and non-coresiding.
Several studies have reported the influence of care recipient health characteristics on institutionalization [13, 33, 48] while others have examined the impact of caregiver related characteristics on LTCH admission [6, 49, 50]. This study brings together information on care recipient health, caregiver and caregiving characteristics and their association with institutionalization. The relationship between MAPLe scores and caregiver distress found in the preliminary analysis echoes previous reports on the same association [11, 14, 33]. This finding is in accordance with other studies in which caregiver distress related symptoms were associated with care recipient ADL impairment and behavioral symptoms [41, 51,52,53,54,55,56,57,58]. These care recipient health characteristics are part of the MAPLe algorithm, which explains the association between this scale and caregiver distress.
Of the care recipients who were admitted to LTCH, the higher proportion of distressed caregivers, as identified by MAPLe scores (Fig. 1), suggests that caregiver distress plays a role in institutionalization. Thus, caregiver distress, MAPLe scores and caregiving variables were entered in the survival models having LTCH admission as an outcome. Higher care recipient MAPLe scores were associated with higher likelihood of institutionalization. This result aligns with evidence that certain care recipient health characteristics such as psychotic symptoms and behaviour dysregulation, included in the MAPLe algorithm, are predictors of institutionalization [6, 13]. The association between MAPLe scores and LTCH admission also could be related to the presence of health care needs that surpass caregiver ability to provide care, creating a situation in which institutionalization becomes the most appropriate destination for the care recipient [52, 54, 57].
Caregiver distress was also a predictor of LTCH admission after considering care recipient health, a finding that aligns with other studies [7, 8, 59]. Research has shown that caregiver’s perception of their ability to provide care and feelings of burden are key factors contributing to their decision to institutionalize [60,61,62,63]; these factors may not be related to the actual frequency or intensity of care provided (i.e., objective burden) .
Care recipient age was a significant predictor of LTCH admission in the survival model. This is similar to other studies and is likely related to changes in health care needs associated with aging [65, 66]. On the other hand, the impact of caregiver coresidence with care recipient on institutionalization has been less examined.
One of the most interesting findings in the present study was the combined impact of caregiver relationship and coresidence on the likelihood of LTCH admission. More specifically, care recipients of coresiding child caregivers were less likely to be admitted to a LTCH than care recipients of spouse caregivers with the same living arrangement, non-coresiding child caregivers or caregivers with other types of relationship that do not coreside. These findings demonstrate the influence of caregiving coresidence and relationship on LTCH admission, a neglected subject in past studies. One study on this subject reported that care recipients of non-coresiding caregivers were also more likely to be admitted to a nursing home .
It is not clear how the coresidence between caregiver and their care recipients influence caregiver responsibilities and their ability to provide care. Some studies have reported that caregivers who live with their care recipients tend to provide instrumental care and spend more hours overseeing care recipients’ activities, especially those with behavioral symptoms [67, 68]. Although there is evidence on the negative impact of coresidence on caregiver burden or distress [18, 19, 53], this finding has not been reported consistently [69, 70].
One of the few studies reporting the influence of coresidence on distress among different caregiving relationships has shown that child-caregivers who coreside with their parent(s) experienced less strain than child caregivers who do not coreside . According to the authors, child caregivers who coreside may do so due to special bonds with their parents, as opposed to a child who is unwilling to coreside. In addition, daughter caregivers coresiding with their parents have reported that the quality of their relationship is one of the reasons why they became their parent’s primary caregiver . Interesting, son caregivers also have reported that they assume this role motivated out of a sense of love and obligation . Thus, caregiving may likely have a positive meaning for child caregivers who live and care for their parents, as they are less likely to institutionalize. However, information on caregivers with other type of relationship with care recipient and institutionalization is scarce. As the population is aging, more individuals that are not necessarily spouse or an adult child of the care recipient will assume the caregiver role, justifying the inclusion of this group in studies like this one.
The association between the type of caregiver relationship and care recipient institutionalization has been discussed in the past, with most studies providing evidence that non-spousal caregivers are more likely to institutionalize their family member or friend [7, 62, 73]. Again, the reason for LTCH admission seems to differ depending on the type and quality of the caregiving relationship. A recent study on reason for care recipient LTCH admission showed that spouse-caregivers reported more reasons related to themselves (e.g., burden), but child caregivers more often reported reasons related to care recipient health as motivations for LTCH placement . Interestingly, Savundranayagam  observed that stress and relationship burden were positively associated with intention to institutionalize among spouse and child caregivers respectively.
It is also possible that the higher HR of institutionalization among care recipients cared for by coresiding spouse caregivers compared to those cared for by coresiding child caregivers is related to the older age of many spouse caregivers as caregiver-aging related  health issues have been associated with institutionalization [6, 59, 76]. Spousal caregivers are also more likely to be in the caregiver role for a longer time compared to child caregivers, becoming more emotionally and physically vulnerable . In contrast, the higher likelihood of institutionalization among care recipients of spouse caregivers who do not coreside could be related to other reasons. Spouses who are living apart sometimes are not fully committed to provide care for their partners [21, 22]. For example, many women opt for this type of relationship to avoid the unequal demands of caring that she has experienced in a previous marriage .
This study has limitations that should be acknowledged. The items on caregiver distress and ability to continue are dichotomous variables which provide only a yes/no type of answer. Thus, it is not possible to distinguish levels of distress that could have yielded a stronger association with LTCH admission. In addition, the RAI-HC focus is on the care recipient. Therefore, other caregiver information that may be related to a caregiver’s reasons to institutionalize was not collected and therefore could not be included in the analysis. It should also be acknowledged that policy and other contextual factors that may affect LTCH placement were not considered in this study.
One of the major strengths of this study is the inclusion of a large number of assessments completed as part of a routine practice that encompasses care recipient health characteristics, caregiver distress, and caregiving information allowing for a more detailed examination of the potential predictors of LTCH admission.
This study demonstrates that care recipient health needs is an important predictor of LTCH admission as well as caregiver distress and caregiving characteristics, such as relationship and coresidence with care recipient. The later information has been neglected and should be considered in future studies investigating predictors of LTCH admission and also when developing interventions to reduce institutionalization. Caregiver distress can be prevented by respite while caregiving experiences can be improved by education and support services that ultimately allow them to continue in their role without compromising their quality of life. In contrast, interventions that target care recipients with high care needs may not be always effective as often care recipient health decline is unavoidable and institutionalization becomes the most suitable option.
Activity of daily living
Activity of daily living Hierarchy
Canadian Institute for Health Information
cognitive performance scale
Generalized estimating equations
Home and community care
Health shared services Ontario
Instrumental activity of daily living
Local health integration network
long term care home
Method of assigning priority levels
Statistical analysis system
Chappell NL, Dlitt BH, Hollander MJ, Miller JA, McWilliam C. Comparative costs of home care and residential care. The Gerontologist. 2004;44:389–400.
Hollander MJ, Liu G, Chappell NL. Who cares and how much? The imputed economic contribution to the Canadian healthcare system of middle-aged and older unpaid caregivers providing care to the elderly. Law Gov. 2009;12:42–49.
Ostbye T, Crosse E. Net economic costs of dementia in Canada. CMAJ Can Med Assoc J. 1994;151:1457.
Turner A, Findlay L. Informal caregiving for seniors. Health Rep. 2012;23:33–6.
Lazarus R, Folkman S. Stress, appraisal, and coping. New York: Springer publishing company; 1984.
Buhr GT, Kuchibhatla M, Clipp EC. Caregivers’ reasons for nursing home placement: clues for improving discussions with families prior to the transition. The Gerontologist. 2006;46:52–61.
Colerick EJ, George LK. Predictors of institutionalization among caregivers of patients with Alzheimer’s disease. J Am Geriatr Soc. 1986;34:493–8.
Tsuji I, Whalen S, Finucane TE. Predictors of nursing home placement in community-based long-term care. J Am Geriatr Soc. 1995;43:761–6.
Clyburn LD, Stones MJ, Hadjistavropoulos T, Tuokko H. Predicting caregiver burden and depression in Alzheimer’s disease. J Gerontol Ser B. 2000;55:S2–S13.
Ferrara M, Langiano E, Di Brango T, De Vito E, Di Cioccio L, Bauco C. Prevalence of stress, anxiety and depression in with Alzheimer caregivers. Health Qual Life Outcomes. 2008;6:93.
Vu M, Hogan DB, Patten SB, Jetté N, Bronskill SE, Heckman G, et al. A comprehensive profile of the sociodemographic, psychosocial and health characteristics of Ontario home care clients with dementia. Chronic Dis Inj Can. 2014;34:132–44.
Deimling GT, Bass DM. Symptoms of mental impairment among elderly adults and their effects on family caregivers. J Gerontol. 1986;41:778–84.
Eaker ED, Vierkant RA, Mickel SF. Predictors of nursing home admission and/or death in incident Alzheimer’s disease and other dementia cases compared to controls: a population-based study. J Clin Epidemiol. 2002;55:462–8.
Mitchell LA, Hirdes J, Poss JW, Slegers-Boyd C, Caldarelli H, Martin L. Informal caregivers of clients with neurological conditions: profiles, patterns and risk factors for distress from a home care prevalence study. BMC Health Serv Res. 2015;15:350.
Sink KM, Covinsky KE, Barnes DE, Newcomer RJ, Yaffe K. Caregiver characteristics are associated with neuropsychiatric symptoms of dementia. J Am Geriatr Soc. 2006;54:796–803.
Yaffe K, Fox P, Newcomer R, Sands L, Lindquist K, Dane K, et al. Patient and caregiver characteristics and nursing home placement in patients with dementia. JAMA. 2002;287:2090–7.
Afram B, Stephan A, Verbeek H, Bleijlevens MHC, Suhonen R, Sutcliffe C, et al. Reasons for institutionalization of people with dementia: informal caregiver reports from 8 European countries. J Am Med Dir Assoc. 2014;15:108–16.
George LK, Gwyther LP. Caregiver weil-being: a multidimensional examination of family caregivers of demented adults. The Gerontologist. 1986;26:253–9.
Kim H, Chang M, Rose K, Kim S. Predictors of caregiver burden in caregivers of individuals with dementia: predictors of caregiver burden. J Adv Nurs. 2012;68:846–55.
De Mello JA, Macq J, Durme TV, Cès S, Spruytte N, Audenhove CV, et al. The determinants of informal caregivers’ burden in the care of frail older persons: a dynamic and role-related perspective. Aging Ment Health. 2016;0:1–6.
Connidis IA, Borell K, Karlsson SG. Ambivalence and living apart together in later life: a critical research proposal. J Marriage Fam. 2017; doi: 10.1111/jomf.12417.
Karlsson SG, Johansson S, Gerdner A, Borell K. Caring while living apart. J Gerontol Soc Work. 2007;49:3–27.
Turcotte M. “Living apart together.” insights on Canadian society, march, statistics Canada catalogue. 2013;
Morycz RK. Caregiving strain and the desire to institutionalize family members with Alzheimer’s disease possible predictors and model development. Res. Aging. 1985;7:329–61.
Weissert WG, Cready CM. Toward a model for improved targeting of aged at risk of institutionalization. Health Serv Res. 1989;24:485.
interRAI [Internet]. [cited 2017 Apr 5]. Available from: www.interrai.org.
Carpenter I, Hirdes JP. Using interRAI assessment systems to measure and maintain quality of long-term care. OECD health. Policy Stud. 2013:93–139.
Kwan CW, Chi I, Lam TP, Lam KF, Chou KL. Validation of minimum data set for home care assessment instrument (MDS-HC) for Hong Kong Chinese elders. Clin Gerontol. 2000;21:4,35–48.
Landi F, Tua E, Onder G, Carrara B, Sgadari A, Rinaldi C, et al. Minimum data set for home care: a valid instrument to assess frail older people living in the community. Med Care. 2000;38:1184–90.
Morris JN, Fries BE, Steel K, Ikegami N, Bernabei R, Carpenter GI, et al. Comprehensive clinical assessment in community setting: applicability of the MDS-HC. J Am Geriatr Soc. 1997;45:1017–24.
Hirdes JP, Ljunggren G, Morris JN, Frijters DH, Finne Soveri H, Gray L, et al. Reliability of the interRAI suite of assessment instruments: a 12-country study of an integrated health information system. BMC Health Serv Res. 2008;8:277.
Poss JW, Jutan NM, Hirdes JP, Fries BE, Morris JN, Teare GF, et al. A review of evidence on the reliability and validity of minimum data set data. Healthc Manage Forum. 2008;21:33–9.
Hirdes JP, Poss JW, Curtin-Telegdi N. The method for assigning priority levels (MAPLe): a new decision-support system for allocating home care resources. BMC Med. 2008;6:9.
Chang BW, Hirdes JPA. Cross-sectional study to compare caregiver distress among Korean Canadian, Chinese Canadian, and other Canadian home care clients. SAGE Open. 2015;5:2158244015591824.
Morris JN, Fries BE, Morris SA. Scaling ADLs within the MDS. J Gerontol A Biol Sci Med Sci. 1999;54:M546–53.
Jones K, Perlman CM, Hirdes JP, Scott T. Screening cognitive performance with the resident assessment instrument for mental health cognitive performance scale. Can J Psychiatr. 2010;55:736–40.
Morris JN, Fries BE, Mehr DR, Hawes C, Phillips C, Mor V, et al. MDS cognitive performance scale. J Gerontol. 1994;49:M174–82.
Paquay L, Lepeleire JD, Schoenmakers B, Ylieff M, Fontaine O, Buntinx F. Comparison of the diagnostic accuracy of the cognitive performance scale (minimum data set) and the mini-mental state exam for the detection of cognitive impairment in nursing home residents. Int. J. Geriatr. Psychiatry. 2007;22:286–93.
Wellens NIH, Flamaing J, Tournoy J, Hanon T, Moons P, Verbeke G, et al. Convergent validity of the cognitive performance scale of the interRAI acute care and the mini-mental state examination. Am J Geriatr Psychiatry. 2013;21:636–45.
Health Quality Ontario. The reality of caring: distress among the caregivers of home care patients. Toronto: Queen’s Printer for Ontario; 2016.
Onder G, Finne-Soveri H, Soldato M, Liperoti R, Lattanzio F, Bernabei R, et al. Distress of caregivers of older adults receiving home care in European countries: results from the aged in home care study. Am J Geriatr Psychiatry. 2009;17:899–906.
Williams AP, Challis D, Deber R, Watkins J, Kuluski K, Lum JM, et al. Balancing institutional and community-based care: why some older persons can age successfully at home while others require residential long-term care. Health Q. 2009:12.
Hanley RJ, Alecxih LMB, Wiener JM, Kennell DL. Predicting elderly nursing home admissions: results from the 1982-1984 National Long-Term Care Survey. Res. Aging. 1990;12:199–228.
Luppa M, Luck T, Weyerer S, Konig H-H, Brahler E, Riedel-Heller SG. Prediction of institutionalization in the elderly. A systematic review. Age Ageing. 2010;39:31–8.
Gaugler JE, Yu F, Krichbaum K, Wyman JF. Predictors of nursing home admission for persons with dementia. Med Care. 2009;47:191–8.
Lee EW, Wei LJ, Amato DA, Leurgans S. Cox-type regression analysis for large numbers of small groups of correlated failure time observations. Surviv Anal State Art Springer. 1992:237–47.
Murray DM, Varnell SP, Blitstein JL. Design and analysis of group-randomized trials: a review of recent methodological developments. Am J Public Health. 2004;94:423–32.
Gaugler JE, Duval S, Anderson KA, Kane RL. Predicting nursing home admission in the U.S: a meta-analysis. BMC Geriatr. 2007;7:13.
Chenier MC. Review and analysis of caregiver burden and nursing home placement: the multiple problems and variables affecting the caregiving relationships require multiple approaches and interventions. Geriatr Nur (Lond). 1997;18:121–6.
Donnelly N-A, Hickey A, Burns A, Murphy P, Doyle F. Systematic review and meta-analysis of the impact of Carer stress on subsequent institutionalisation of community-dwelling older people. PLoS One. 2015;10:e0128213.
Bédard M, Pedlar D, Martin NJ, Malott O, Stones MJ. Burden in caregivers of cognitively impaired older adults living in the community: methodological issues and determinants. Int Psychogeriatr. 2000;12:307–32.
Bergvall N, Brinck P, Eek D, Gustavsson A, Wimo A, Winblad B, et al. Relative importance of patient disease indicators on informal care and caregiver burden in Alzheimer’s disease. Int Psychogeriatr. 2011;23:73–85.
Conde-Sala JL, Garre-Olmo J, Turró-Garriga O, Vilalta-Franch J, López-Pousa S. Differential features of burden between spouse and adult-child caregivers of patients with Alzheimer’s disease: an exploratory comparative design. Int J Nurs Stud. 2010;47:1262–73.
Grunfeld E. Family caregiver burden: results of a longitudinal study of breast cancer patients and their principal caregivers. Can Med Assoc J. 2004;170:1795–801.
Mioshi E, Foxe D, Leslie F, Savage S, Hsieh S, Miller L, et al. The impact of dementia severity on caregiver burden in Frontotemporal dementia and Alzheimer disease. Alzheimer Dis Assoc Disord. 2013;27:68–73.
Papastavrou E, Kalokerinou A, Papacostas SS, Tsangari H, Sourtzi P. Caring for a relative with dementia: family caregiver burden. J Adv Nurs. 2007;58:446–57.
Skarupski KA, McCann JJ, Bienias JL, Evans DA. Race differences in emotional adaptation of family caregivers. Aging Ment Health. 2009;13:715–24.
Van der Lee J, Bakker TJEM, Duivenvoorden HJ, Dröes R-M. Multivariate models of subjective caregiver burden in dementia: a systematic review. Ageing Res Rev. 2014;15:76–93.
Argimon JM, Limon E, Vila J, Cabezas C. Health-related quality-of-life of care-givers as a predictor of nursing-home placement of patients with dementia. Alzheimer Dis Assoc Disord. 2005;19:41–4.
Caron CD, Ducharme F, Griffith J. Deciding on institutionalization for a relative with dementia: the most difficult decision for caregivers. Can J Aging Rev Can Vieil. 2006;25:193.
Haupt M, Kurz A. Predictors of nursing home placement in patients with alzheimer’s disease. Int. J. Geriatr. Psychiatry. 1993;8:741–6.
Pot AM, Deeg DJH, Knipscheer CPM. Institutionalization of demented elderly: the role of caregiver characteristics. Int. J. Geriatr. Psychiatry. 2001;16:273–80.
Sun F, Durkin DW, Hilgeman MM, Harris G, Gaugler JE, Wardian J, et al. Predicting desire for institutional placement among racially diverse dementia family caregivers: the role of quality of care. The Gerontologist. 2013;53:418–29.
Savundranayagam MY, Montgomery RJV. Impact of role discrepancies on caregiver burden among spouses. Res Aging. 2010;32:175–99.
Greene VL, Ondrich JI. Risk factors for nursing home admissions and exits: a discrete-time hazard function approach. J Gerontol. 1990;45:S250–8.
Kosloski K, Montgomery RJ. The impact of respite use on nursing home placement. The Gerontologist. 1995;35:67–74.
Mahoney DF. Vigilance: evolution and definition for caregivers of family members with Alzheimer's disease. J Gerontol Nurs. 2003;29:24–30.
Tennstedt SL, Crawford S, McKinlay JB. Determining the pattern of community care: is Coresidence more important than caregiver relationship? J Gerontol. 1993;48:S74–83.
Deimling GT, Bass DM, Townsend AL, Noelker LS, Care-Related Stress A. Comparison of spouse and adult-child caregivers in shared and separate households. J Aging Health. 1989;1:67–82.
Rinaldi P, Spazzafumo L, Mastriforti R, Mattioli P, Marvardi M, Polidori MC, et al. Predictors of high level of burden and distress in caregivers of demented patients: results of an Italian multicenter study. Int J Geriatr Psychiatry. 2005;20:168–74.
Brody EM, Litvin SJ, Hoffman C, Kleban MH. Marital status of caregiving daughters and coresidence with dependent parents. The Gerontologist. 1995;35:75–85.
Harris PB. Listening to caregiving sons: misunderstood realities. The Gerontologist. 1998;38:342–52.
Scott WK, Edwards KB, Davis DR, Cornman CB, Macera CA. Risk of institutionalization among community long-term care clients with dementia. The Gerontologist. 1997;37:46–51.
Savundranayagam MY, Montgomery RJV, Kosloski KA. Dimensional analysis of caregiver burden among spouses and adult children. The Gerontologist. 2011;51:321–31.
Hébert R, Dubois M-F, Wolfson C, Chambers L, Cohen C. Factors associated with long-term institutionalization of older people with dementia data from the Canadian study of health and aging. J Gerontol A Biol Sci Med Sci. 2001;56:M693–9.
Cohen CA, Gold DP, Shulman KI, Wortley JT, McDonald G, Wargon M. Factors determining the decision to institutionalize Dementing individuals:a prospective study. The Gerontologist. 1993;33:714–20.
Pinquart M, Sörensen S. Spouses, adult children, and children-in-law as caregivers of older adults: a meta-analytic comparison. Psychol Aging. 2011;26:1–14.
Karlsson SG, Borell K. Intimacy and autonomy, gender and ageing: living apart together. Ageing Int. 2002;27:11–26.
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The data that support the findings of this study are retained by HSSO. These data were made available to the authors under the terms of an agreement with interRAI Canada. The data may be accessed by non-interRAI researchers through separate request to CIHI.
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Ethics clearance for the use of secondary data has been provided by the Office of Research ethics from University of Waterloo (ORE#1822). This study did not require a consent to participate.
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Betini, R.S.D., Hirdes, J.P., Lero, D.S. et al. A longitudinal study looking at and beyond care recipient health as a predictor of long term care home admission. BMC Health Serv Res 17, 709 (2017). https://doi.org/10.1186/s12913-017-2671-8