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Variation in the health outcomes associated with frailty among home care clients: relevance of caregiver distress and client sex

BMC Geriatrics volume 18, Article number: 211 (2018) Cite this article

Abstract

Background

The identification of contextual factors that modify associations between client frailty and their health and service use outcomes is essential for informed home health care and policy planning. Our objective was to examine variation in the associations between frailty and select 1-year health outcomes by caregiver distress and client sex among community-residing older care recipients.

Methods

We conducted a retrospective cohort study using linked population-based clinical and health administrative databases for all long-stay home care clients (n = 234,552) aged 66+ years assessed during April 2010–2013 in Ontario, Canada. Frailty was assessed using a previously validated 72-item frailty index (FI). Presence of caregiver distress was derived from clinical assessment items administered by trained home care assessors. Multivariable log-binomial regression models were used to examine variations in the associations between frailty and outcomes of interest (mortality, nursing home [NH] placement, all-cause and prolonged hospitalization) by caregiver distress, with further model stratification by client sex.

Results

Frailty prevalence varied little by sex (19.3% women, 19.9% men) despite significant sex-differences in clients’ sociodemographic and health characteristics. In both sexes, frailty was significantly associated with all outcomes, particularly NH placement (RR = 3.84, 95%CI 3.75–3.93) and death (RR = 2.32, 95%CI 2.27–2.37), though risk ratios were greater for women. Caregiver distress was more common with increasing frailty and for male clients, and a significant independent predictor of NH placement and prolonged hospitalization in both sexes. The association between frailty and NH placement (but not other outcomes) varied by caregiver distress for both men and women (p < 0.001 interaction terms), showing a greater magnitude of association among clients without (vs. with) a distressed caregiver.

Conclusions

As caregiver distress varies by client sex, represents a key driver of NH placement (even among relatively robust clients), and modifies the impact of other risk factors such as frailty, it should be routinely assessed. Further, sex-differences should be considered when developing and evaluating community-based services for older adults and their caregivers.

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Background

In Canada and the United States, the provision of in-home professional and supportive services for older adults is an important and growing part of the healthcare system [1, 2]. Proposals for healthcare reforms in both countries have called for a significant expansion of publicly funded home care, including the provision of additional support for family caregivers [3,4,5]. Underlying these reforms is the hope that enhanced community-based care may reduce both acute and nursing home facility admissions among vulnerable older adults [6,7,8,9]. As government payers face competing demands for their (limited) health budgets, identifying individuals at heightened risk for admission to facility-based care and thus, most likely to benefit from community-based services, has become a key priority [7, 10].

The identification of frailty offers a promising approach to risk stratification in this care setting [11, 12]. Frailty refers to a state of increased vulnerability to stressors arising from multi-system dysfunction leading to declines in homeostatic reserve and resiliency [12]. In previous work, we demonstrated both the feasibility and predictive validity of a frailty index measure derived from assessment data routinely collected on older home care recipients [10, 13]. In addition to predicting mortality and transitions to higher levels of care, this frailty measure was positively associated with the likelihood of caregiver distress. Intriguing questions emerging from this earlier work include the extent to which caregiver-related factors modify the associations between client frailty and relevant health outcomes such as hospitalization and NH placement and whether associations further vary by client sex. Given sex-related differences in health and the nature and availability of informal support [14,15,16], it is plausible that the impact of caregiver distress on frailty-related outcomes may differ by client sex.

Family and friends play a significant role in providing supportive care to vulnerable older adults in the community [4, 5, 17]. This role is viewed positively by many informal (or unpaid) caregivers who derive a sense of fulfillment from providing needed care or services [18,19,20]. At the same time, the increasingly complex nature of care recipient needs coupled with demanding caregiving roles and expectations can precipitate stress and poor outcomes for both care providers and recipients [21,22,23,24]. Consequently, the presence and extent of caregiver distress or burden requires consideration when assessing the larger impact of community-based care reforms for older adults. Caregiver distress has been shown to be an independent predictor of health outcomes and costs among community-dwelling older adults, particularly for those with dementia [25,26,27,28]. However, few large scale studies have examined its importance among the general population of older home care clients, and data are especially scarce on its role as an effect modifier of associations between frailty and health outcomes in this care setting [11].

Among the few studies that have examined moderators of frailty-related outcomes, the focus has largely been on the relevance of psychosocial resources (including perceived social support and wellbeing) and findings were inconclusive [29, 30]. There is also some preliminary data to suggest that more positive responses on a summary protection index (combining a diverse number of items reflecting an older adult’s socioeconomic status, lifestyle behaviours and environmental factors) may mitigate frailty-related mortality and health decline for robust or pre-frail older persons [31]. The relevance of such findings to more vulnerable older adults receiving home care is unknown. Further exploration of the impact of informal care characteristics on frailty-related outcomes among female and male home care recipients could inform policy development and resource allocation for this population [10, 32]. Additionally, illustrating effect modification by these contextual factors might enhance support for targeted and tailored community-based services for older adults [33].

Our primary objective was to examine the degree to which caregiver distress modifies the associations between frailty and select 1-year health outcomes among a population-based cohort of older home care clients. A secondary objective was to investigate variation in the role of this modifying factor between female and male clients.

Methods

Study design, setting and population

We conducted a retrospective cohort study of long-stay home care clients in Ontario, Canada using linked health administrative and clinical databases (see Additional file 1: Table S1). These databases were linked using encoded identifiers and analyzed at the Institute for Clinical Evaluative Sciences (ICES).

In Ontario, semi-annual assessments with the Resident Assessment Instrument for Home Care (RAI-HC) are provincially mandated for all clients receiving long-stay services (i.e., ≥ 60 days in a single episode). The RAI-HC is administered by trained staff and provides standardized validated data on clients’ sociodemographic characteristics, health conditions, physical and cognitive status, behaviors, and service use [34]. RAI-HC assessment data are included in the ICES repository. A summary of the organization and funding of Ontario home care at the time of this study is provided in Additional file 1: Table S1.

We identified all clients assessed between April 1, 2010 and March 31, 2013 (n = 296,964) and captured data from their earliest RAI-HC (index date). Given our focus on clients receiving services in the community and age requirements for data availability, we excluded those aged < 66 (n = 55,343; 18.6%) or > 105 (n = 24; 0.01%) years, receiving case management only (n = 4444; 1.5%), in a nursing home facility during the prior year (n = 2351; 0.8%), with data quality issues (n = 183; 0.06%), or a non-Ontario postal code (n = 67; 0.02%). The resulting sample included 234,552 clients.

This study was approved by the Research Ethics Board at Sunnybrook Health Sciences Centre and the University of Waterloo, Office of Research Ethics (ORE File #19950). Informed consent by participants was not required as this project was conducted under section 45 of Ontario’s Personal Health Information Protection Act and approved by ICES’ Privacy and Compliance Office.

Frailty

Frailty was assessed with a validated 72-item frailty index (FI) based on items derived from the index RAI-HC assessment [10]. The FI was calculated as the proportion of accumulated to potential health deficits. Deficits included physical, cognitive, behavioural and psychosocial characteristics. As in previous work [10, 13], robust, pre-frail and frail clients were defined based on FI scores of < 0.2, 0.2–0.3, and > 0.3, respectively.

Covariates

Clients’ age, sex, and date of death were determined from administrative data (Additional file 1: Table S1). Comorbidity was assessed with the Aggregated Diagnosis Groups (ADGs) derived using the Johns Hopkins Adjusted Clinical Group algorithms [35] and based on health service use in the two years prior to clients’ index date (The Johns Hopkins ACG® System, v10). Data regarding clients’ marital status, health conditions and caregiver characteristics were obtained from their index RAI-HC.

Caregiver measures

Caregiver characteristics included the presence of a primary caregiver (and their relationship to, and living arrangement with, the client) and average hours of care per day for instrumental and basic activities of daily living (ADL) provided in the past week by family, friends and neighbours. Unfortunately, we did not have information on caregivers’ age or sex, though some assumptions could be made about both based on the information that was available to us from the RAI-HC (as described above). Caregiver distress was determined by a positive response to at least one the following two RAI-HC items: a caregiver reports or is perceived by the home care assessor to be unable to continue in caring activities (due to various reasons, e.g., a decline in health of caregiver, a lack of desire to continue, geographical inaccessibility, other competing family or work requirements or personal health issues) and/or caregiver reported feelings of distress, anger or depression. This is a standard and widely accepted measure of caregiver distress (burden) when using RAI-HC data and has been employed in numerous national and provincial health system quality reports [3, 4, 36, 37] and previous studies on home care in Canada [14, 38, 39].

Outcomes

Outcomes assessed over the 1-year included death, nursing home (NH) placement, any (inpatient) hospitalization and prolonged hospital stay as derived from the administrative databases. In Ontario, the NH setting primarily encompasses long-stay residents requiring 24-h nursing and personal care and/or supervision. A prolonged hospitalization is defined for a patient who no longer requires the intensity of services provided in acute care but is unable to be discharged because adequate care is not available elsewhere (often because a NH bed is unavailable) [40].

Analysis

Descriptive analyses examined the distribution of baseline characteristics and 1-year outcomes among the total sample and by frailty level. Associations between frailty and each of the binary outcomes were examined using log-binomial regression models to estimate risk ratios. Models were adjusted for age, sex and comorbidity to be consistent with previous work [10]. Associations between caregiver distress and the four outcomes were examined in separate models that were initially adjusted for age, sex and comorbidity and then also for frailty level.

To examine effect modification by caregiver distress, we derived a set of mutually exclusive variables to cross-classify clients by frailty and presence/absence of caregiver distress. For example, clients were classified into one of 6 categories defined by frailty level (robust, pre-frail, frail) and caregiver distress (yes, no) and four separate regression models (one for each outcome) were examined including this categorical variable while also adjusting for age, sex and comorbidity. This allows for direct estimation of the effect of frailty on outcomes at each level of the covariate and comparison of risk ratios within and between levels of the covariate. For this categorical variable, the reference group was selected to represent those expected to have the lowest risk (e.g., robust and caregiver not distressed). These analyses were then stratified by client sex.

We employed alternative modeling strategies (i.e., including an interaction term between frailty and caregiver distress) to derive tests of statistical significance for this interaction term. We were cautious when interpreting findings from these tests as even small differences would be expected to be highly significant given our sample size.

All analyses were conducted using SAS version 9.4 (SAS Institute Inc., Cary, NC).

Results

The mean age of clients was 82 (±7.4) years, 65% were women and almost half were widowed (Additional file 1: Table S2). Most reported having a primary caregiver (98%) and for half of these clients, this caregiver lived in the same residence. The primary caregiver was most commonly a child or child-in-law (55.3%) followed by a spouse (31.2%), other relative (7.9%) and friend or neighbor (5.7%) [data not shown]. Clients received an average of 2.4 h of care from family or friends per day, and almost one quarter had a distressed caregiver. High levels of client morbidity were evident. Frailty was positively associated with client age, comorbidity level, informal care hours, and likelihood for the primary caregiver to live with the client and to be distressed.

Female clients were more likely to be older, widowed, and to not reside with their primary caregiver (Table 1). For women, relative to men, this caregiver was more likely to be a child or child-in-law (65.9% vs. 35.7%) as opposed to a spouse (19.5% vs. 52.6%) [data not shown]. Average hours of informal care received per day were higher for men than women as was the likelihood for a distressed caregiver (e.g., 51.8% of frail men and 39.8% of frail women had a distressed caregiver). Higher levels of comorbidity were observed among men although some conditions were more prevalent among women (e.g., hypertension, arthritis, and osteoporosis). Although statistically significant, there was little difference in frailty prevalence between women (19.3%) and men (19.9%).

Table 1 Baseline characteristics of long-stay home care clients in Ontario (2010–2013), by sex and frailty status (n = 234,552)
Full size table

Associations between frailty, caregiver distress and outcomes

During the 1-year follow-up, 18% of clients died, 17% were admitted to a NH, 42% experienced at least 1 hospitalization and 14% had a prolonged hospital stay. The proportion of clients experiencing each outcome increased significantly with frailty level (Additional file 1: Table S3). The distribution of outcomes by sex, caregiver distress, and frailty are presented in Additional file 1: Tables S4 and S5. With the exception of NH placement, all outcomes were more common among men.

Following adjustment for age, sex and comorbidity, higher frailty levels were significantly associated with all outcomes, most notably NH placement and death (Table 2, base models). Further stratification by sex showed similar findings although for all outcomes except prolonged hospitalization, risk ratios associated with frailty were higher among women than men. Overall and for both sexes, including frailty and caregiver distress in the same model (Table 2, full models) had little effect on frailty-related risk estimates for most outcomes with the exception of NH placement where risk estimates were somewhat attenuated.

Table 2 Associations between client frailty status, caregiver distress and risk of health outcomes during 1 year follow-up, overall and by client sex
Full size table

In similarly adjusted base models, caregiver distress was significantly associated with client risk for all outcomes, with stronger associations observed for NH placement and weaker associations noted for other outcomes, especially any hospitalization (Table 2, base models). Similar findings were observed for models further stratified by sex. Following further adjustment for client frailty (Table 2, full models), caregiver distress remained significantly associated with NH placement and prolonged hospitalization only.

Modification of frailty-outcome associations by caregiver distress

The associations between frailty and death, hospitalization and prolonged hospitalization were not modified by caregiver distress (Table 3). For example, the risk of prolonged hospitalization for frail vs. robust clients was 1.42 among those without a distressed caregiver and 1.49 (1.68/1.13) among those with a distressed caregiver. For some outcomes, interaction terms were statistically significant (i.e., for any hospitalization, p = 0.002 for frail*caregiver distress; for prolonged hospitalization, p = 0.002 for pre-frail*caregiver distress) largely reflecting the sample size rather than meaningful variation.

Table 3 Associations between client frailty status - caregiver distress categorical variable and risk of health outcomes during 1 year follow-up, overall and by client sex
Full size table

The association between frailty and NH placement was modified by caregiver distress, both overall and when stratified by client sex (Table 3; Fig. 1). Specifically, while increasing frailty was associated with increased risk of placement among those with and without a distressed caregiver, the magnitude of the association was greater among clients without than with a distressed caregiver (p < 0.001, all interaction terms). For example, the risk of placement for frail vs. robust clients was 4 fold among those without a distressed caregiver, and 2.3 fold (4.79/2.10) among those with a distressed caregiver. Relative to the reference group (client robust and caregiver not distressed), the combination of frailty and a distressed caregiver was associated with a 5 fold increased risk of placement for women and a 4 fold increased risk for men.

Fig. 1
figure 1

Variation in the association between frailty status and risk of nursing home placement during 1 year follow-up according to caregiver distress and client sex among long-stay home care clients in Ontario (2010–2013)

Full size image

Discussion

Building on our earlier work [10], higher frailty levels were significantly and independently associated with all health outcomes examined among both women and men. Risk estimates were strongest for NH placement and death and higher for women than men for most outcomes. Interestingly, despite significant sex-related differences in clients’ sociodemographic and health characteristics, frailty prevalence did not vary by client sex with approximately 1 in 5 women and men classified as frail. However, caregiver distress, which increased significantly with increasing frailty and hours of informal care, was considerably more common among male than female clients.

After adjusting for covariates (including frailty), clients with a distressed caregiver were 40% more likely to be placed in a NH and 10% more likely to experience a prolonged hospitalization and these findings were comparable for female and male clients. The presence of caregiver distress did not appear to modify the associations between frailty and death or hospitalization events. There was, however, evidence of important effect modification by caregiver distress for the association between frailty and NH placement. Overall, and for women and men separately, the impact of frailty on placement was of a greater magnitude among those without (vs. with) a distressed caregiver.

There is general agreement that caregiver burden is an important predictor of institutionalization, particularly among older adults with dementia [25,26,27]. Our findings demonstrate that this association extends to the wider population of older home care clients not selected for cognitive impairment. Although we lacked specific information on caregiver sex, previous literature [27, 41,42,43,44] and our descriptive findings suggest that much of this informal care (and associated distress) falls disproportionately on female caregivers. For example, among older male clients, the primary caregiver was more commonly a spouse whereas among older female clients, the primary caregiver was more likely to be a child or child-in-law. As a prolonged hospitalization often precedes a transition to NH, it is not surprising that caregiver distress was also associated with this outcome [45]. Importantly clients with a distressed caregiver and who were also frail showed the highest risks for both NH placement and prolonged hospitalization, relative to the lowest risk group.

At first glance, the observation that the association between frailty and NH placement was greater among clients without than with a distressed caregiver seems counterintuitive. However, this largely reflects the significant contribution of caregiver distress to placement among less frail clients. For example, robust clients with (vs. without) a distressed caregiver were twice as likely to be admitted to a NH.

We observed higher risk estimates for death, NH placement and hospitalization associated with frailty among women relative to men. For death and hospitalization, this may reflect higher baseline risks for these outcomes among men. This would not explain the greater impact of frailty on placement among women as baseline risk was similar for men and women. The increased risk among women may be related to their increased likelihood to be widowed and to differences in their caregiver characteristics relative to male clients. There is some literature suggesting that female caregivers [25] and those who live with the care recipient [16], a scenario more likely for male clients in our study, may be less likely to pursue NH placement. This pattern may persist even with increasing client frailty level, leading to higher levels of distress for (female) caregivers as they strive to keep their loved one at home [42,43,44].

Strengths of our study include the population-based sample of older home care clients and availability of comprehensive clinical, functional, and psychosocial measures derived from the linked databases. Our analyses employed a frailty measure previously validated for this population [10]. Our focus on community-dwelling care recipients adds to the existing literature on the relevance of caregiver distress to health outcomes among older adults.

Limitations include the absence of detailed data on the informal caregivers, including their sex and the nature of, and amount of time spent on, caregiving activities. Similarly, for both informal and formal care providers, we did not have access to qualitative aspects of their relationships with clients which may be important to caregiver distress and client outcomes [18, 19, 44]. This would include both positive and negative aspects of caregiving, which may show different patterns for female and male caregivers and between spouses and children [20, 41]. Despite these noted concerns, it is important to investigate the modifying effect of caregiver distress (as assessed with the RAI-HC) on client outcomes given its availability for population-based analyses. With the widespread implementation of the RAI-HC instrument in Canada and beyond, demonstrating the utility of these caregiver items for informing community-based practice and policy decisions is an important research priority. It should also be noted that our data do not allow us to comment on the relevance of caregiver support (or burden) to vulnerable older adults in the community not receiving formal care [43]. Additional research is required to more fully understand what underlies these observed associations and the potential impact of interventions designed to either minimize caregiver distress or delay frailty progression.

Conclusions

Our findings highlight the extensive involvement of unpaid caregivers in providing assistance to home care clients and the impact of this care on their health and on care recipient outcomes. On average, caregivers provided almost 2.5 h of care per day, which increased to 3.5 h for clients who were frail. Among frail clients, almost half had distressed caregivers, an estimate double that noted for the total sample. With continued shifts from institutional to community-based care and increased levels of clinical complexity and frailty among older home care recipients, the prevalence of caregiver distress is likely to increase [46]. Our findings that caregiver distress is a significant driver of NH placement, even among relatively robust clients, and modifies the impact of other risk factors such as client frailty, demonstrate the importance of implementing routine assessments of caregiver burden and family-centered interventions as core elements of optimal community-based care [33, 46,47,48]. Despite ongoing calls for increased publicly-funded services and support for family caregivers, our findings and those of others [1,2,3,4, 36] point to lingering concerns of significant unmet needs among both care recipients and their caregivers.

As we also observed important sex-differences in caregiver relationships and likelihood for distress and in the magnitude of associations between frailty and NH placement, it is essential that both caregiver and care recipient sex be considered in research and planning of services for vulnerable home care populations [49, 50]. More extensive and innovative changes in relevant home and social care policies and funding arrangements will be needed to permit greater flexibility in how support services are packaged and targeted to meet the unique needs of care recipient and caregiver dyads.

Abbreviations

ADGs:

Aggregated Diagnosis Groups

CG:

Caregiver

FI:

Frailty index

NH:

Nursing home

RAI-HC:

Resident assessment instrument for home care

SD:

Standard deviation

References

  1. Expert Group on Home & Community Care. Bringing Care Home. In: Report of the expert group on Home & Community Care; 2015. http://health.gov.on.ca/en/public/programs/ccac/docs/hcc_report.pdf. Accessed 7 Oct 2017.

    Google Scholar 

  2. Institute of Medicine (IOM) and National Research Council (NRC). The future of home health care: workshop summary. Washington, DC: The National Academies Press; 2015. http://nationalacademies.org/hmd/reports/2015/future-home-health-care.aspx. Accessed 7 Oct 2017

    Google Scholar 

  3. Canadian Institute for Health Information (CIHI). (2017). Seniors in transition: exploring pathways across the care continuum. Ottawa, ON. Available at: https://www.cihi.ca/sites/default/files/document/seniors-in-transition-report-2017-en.pdf. Accessed 7 Oct 2017.

  4. Canadian Institute for Health Information (CIHI). (2010). Analysis in Brief: Supporting informal caregivers – the heart of home care. Available at: https://secure.cihi.ca/free_products/Caregiver_Distress_AIB_2010_EN.pdf. Accessed 7 Oct 2017.

  5. National Academies of Sciences, Engineering, and Medicine. 2016. Families caring for an aging America. Washington, DC: The National Academies Press. Available at: http://nationalacademies.org/hmd/reports/2016/families-caring-for-an-aging-america.aspx Accessed 7 Oct 2017.

  6. Accreditation Canada and the Canadian Home Care Association. Advancing Quality Improvement and Integrated Care. In: Home Care in Canada; 2015. http://www.cdnhomecare.ca/media.php?mid=4328. Accessed 7 Oct 2017.

    Google Scholar 

  7. Greiner MA, Qualls LG, Iwata I, et al. Predicting nursing home placement among home- and community-based services program participants. Am J Manag Care. 2014;20:e535–46.

    PubMed  Google Scholar 

  8. Lohman MC, Scherer EA, Whiteman KL, et al. Factors associated with accelerated hospitalization and re-hospitalization among medicare home health patients. J Gerontol A Biol Sci Med Sci. 2018;73(9):1280-86. https://0-doi-org.brum.beds.ac.uk/10.1093/gerona/glw335. [Epub ahead of print]

  9. Seow H, Barbera L, Howell D, et al. Using more end-of-life homecare services is associated with using fewer acute care services: a population-based cohort study. Med Care. 2010;48:118–24.

    Article  PubMed  Google Scholar 

  10. Campitelli MA, Bronskill SE, Hogan DB, et al. The prevalence and health consequences of frailty in a population-based older home care cohort: a comparison of different measures. BMC Geriatr. 2016;16:133.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Hogan DB, Maxwell CJ, Afilalo J, et al. A scoping review of frailty and acute care in middle-aged and older individuals with recommendations for further research. Can Geriatr J. 2017;20:22–37.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Bergman H, Ferrucci L, Guralnik J, et al. Frailty: an emerging research and clinical paradigm--issues and controversies. J Gerontol A Biol Sci Med Sci. 2007;62:731–7.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Hogan DB, Freiheit EA, Strain LA, et al. Comparing frailty measures in their ability to predict adverse outcome among older residents of assisted living. BMC Geriatr. 2012;12:56.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Gruneir A, Forrester J, Camacho X, et al. Gender differences in home care clients and admission to long-term care in Ontario. Canada: a population-based retrospective cohort study BMC Geriatrics. 2013;13:48.

    PubMed  Google Scholar 

  15. Noël-Miller C. Spousal loss, children, and the risk of nursing home admission. J Gerontol B Psychol Sci Soc Sci. 2010;65B:370–80.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Allen SM, Lima JC, Goldscheider FK, et al. Primary caregiver characteristics and transitions in community-based care. J Gerontol B Psychol Sci Soc Sci. 2012;67:362–71.

    Article  PubMed  Google Scholar 

  17. Ankuda CK, Levine DA. Trends in caregiving assistance for home-dwelling, functionally impaired older adults in the United States, 1998-2012. JAMA. 2016;316:218–20.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Monin JK, Poulin MJ, Brown SL, Langa KM. Spouses’ daily feelings of appreciation and self-reported well-being. Health Psychol. 2017;36:1135–9.

    Article  PubMed  Google Scholar 

  19. Monin JK, Schulz R, Feeney BC. Compassionate love in individuals with Alzheimer’s disease and their spousal caregivers: associations with caregivers’ psychological health. Gerontologist. 2015;55:981–9.

    Article  PubMed  Google Scholar 

  20. Lin IF, Fee HR, Wu H-S. Negative and positive caregiving experiences: a closer look at the intersection of gender and relationships. Fam Relat. 2012;61:343–58.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Monin JK, Levy B, Doyle M, Schulz R, Kershaw T. The impact of both spousal caregivers’ and care recipients’ health on relationship satisfaction in the Caregiver Health Effects Study. J Health Psychol 2017 Mar 1; [Epub ahead of print]:1–12. https://0-doi-org.brum.beds.ac.uk/10.1177/1359105317699682

  22. Beach SR, Schulz R. Family caregiver factors associated with unmet needs for care of older adults. J Am Geriatr Soc. 2017;65:560–6.

    Article  PubMed  Google Scholar 

  23. Monin J, Doyle M, Levy B, et al. Spousal associations between frailty and depressive symptoms: longitudinal findings from the cardiovascular health study. J Am Geriatr Soc. 2016;64:824–30.

    Article  PubMed  PubMed Central  Google Scholar 

  24. Wolff JL, Spillman BC, Freedman VA, Kasper JD. A national profile of family and unpaid caregivers who assist older adults with health care activities. JAMA Intern Med. 2016;176:372–9.

    Article  PubMed  PubMed Central  Google Scholar 

  25. Cepoiu-Martin M, Tam-Tham H, Patten S, et al. Predictors of long-term care placement in persons with dementia: a systematic review and meta-analysis. Int J Geriatr Psychiatry. 2016;31:1151–71.

    Article  PubMed  Google Scholar 

  26. Gaugler JE, Yu F, Krichbaum K, et al. Predictors of nursing home admission for persons with dementia. Med Care. 2009;47:191–8.

    Article  PubMed  Google Scholar 

  27. Yaffe K, Fox P, Newcomer R, et al. Patient and caregiver characteristics and nursing home placement in patients with dementia. JAMA. 2002;287:2090–7.

    Article  PubMed  Google Scholar 

  28. Ankuda CK, Maust DT, Kabeto MU, et al. Association between spousal caregiver well-being and care recipient healthcare expenditures. J Am Geriatr Soc. 2017;65:2220–6.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Dent E, Hoogendijk EO. Psychosocial factors modify the association of frailty with adverse outcomes: a prospective study of hospitalized older people. BMC Geriatr. 2014;14:108.

    Article  PubMed  PubMed Central  Google Scholar 

  30. Hoogendijk EO, van Hout HPJ, van der Horst HE, et al. Do psychosocial resources modify the effects of frailty on functional decline and mortality? J Psychosom Res. 2014;77:547–51.

    Article  PubMed  Google Scholar 

  31. Wang C, Song X, Mitnitski A, et al. Effect of health protective factors on health deficit accumulation and mortality risk in older adults in the Beijing longitudinal study of aging. J Am Geriatr Soc. 2014;62:821–8.

    Article  PubMed  Google Scholar 

  32. Dent E, Hoogendijk EO. Psychosocial resources: moderators or mediators of frailty outcomes? J Am Med Dir Assoc. 2015;16:258–9.

    Article  PubMed  Google Scholar 

  33. Schulz R, Czaja SJ. Family caregiving: A vision for the future. Am J Geriatr Psychiatry. 2018;26(3):358-63. [Epub ahead of print]: 1–6.

  34. Canadian Institute for Health Information (CIHI). Data quality documentation, home care reporting system, 2012–2013. Ottawa, ON; 2013. https://secure.cihi.ca/free_products/HCRS-External-Data-Quality-Report_2012_EN_web.pdf. Accessed 7 Oct 2017.

  35. Austin PC, van Walraven C, Wodchis WP, et al. Using the Johns Hopkins aggregated diagnosis groups (ADGs) to predict mortality in a general adult population cohort in Ontario, Canada. Med Care. 2011;49:932–9.

    Article  PubMed  PubMed Central  Google Scholar 

  36. Health Quality Ontario. The Reality of Caring: Distress among the caregivers of home care patients. Toronto: Queen’s Printer for Ontario; 2016. http://www.hqontario.ca/Portals/0/documents/system-performance/reality-caring-report-en.pdf. Accessed 28 July 2018

    Google Scholar 

  37. Health Council of Canada. What are the home care priorities for seniors in Canada? In: Seniors in need, caregivers in distress. Toronto: Health Council of Canada; 2012. http://www.bcforum.ca/Resources/HCC_HomeCare_FA2012.pdf. Accessed 28 July 2018.

    Google Scholar 

  38. Vu M, Hogan DB, Patten SB, 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(2–3):132–44.

    PubMed  CAS  Google Scholar 

  39. Mitchell LA, Hirdes J, Poss JW, et al. 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.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  40. Walker JD, Morris K, Frood J. Alternative level of care in Canada: A summary. Healthcare Quarterly. 2009;12(2):21-23.

  41. Chappell NL, Dujela C, Smith A. Caregiver well-being: intersections of relationship and gender. Res Aging. 2015;37:623–45.

    Article  PubMed  PubMed Central  Google Scholar 

  42. Penning MJ, Wu Z. Caregiver stress and mental health: impact of caregiving relationship and gender. Gerontologist. 2016;56:1102–13.

    Article  PubMed  Google Scholar 

  43. Sutcliffe C, Giebel C, Bleijlevens M, et al. Caring for a person with dementia on the margins of long-term care: a perspective on burden from 8 European countries. J Am Med Dir Assoc. 2017; https://0-doi-org.brum.beds.ac.uk/10.1016/j.jamda.2017.06.004. [Epub ahead of print]

  44. Adelman RD, Tmanova LL, Delgado D, Dion S, Lachs MS. Caregiver burden: a clinical review. JAMA. 2014;311:1052–60.

    Article  PubMed  CAS  Google Scholar 

  45. McCloskey R, Jarrett P, Stewart C, et al. Alternate level of care patients in hospitals: what does dementia have to do with this? Can Geriatr J. 2014;17:88–94.

    Article  PubMed  PubMed Central  Google Scholar 

  46. Health Quality Ontario. (2016). Measuring up 2016: a yearly report on how Ontario’s health system is performing. Toronto, ON: Queen’s Printer for Ontario. Available at: http://www.hqontario.ca/System-Performance/Yearly-Reports/Measuring-Up-2016. Accessed 7 Oct 2017.

  47. Mason DJ. Long-term care: investing in models that work. JAMA. 2017;318:1529–30.

    Article  PubMed  Google Scholar 

  48. Wolff JL, Feder J, Schulz R. Supporting family caregivers of older Americans. N Engl J Med. 2016;375:2513–5.

    Article  PubMed  Google Scholar 

  49. Ringer TJ, Hazzan AA, Kennedy CC, et al. Care recipients’ physical frailty is independently associated with subjective burden in informal caregivers in the community setting: a cross-sectional study. BMC Geriatr. 2016;16:186.

    Article  PubMed  PubMed Central  Google Scholar 

  50. Hoover M, Rotermann M. Seniors’ use of and unmet needs for home care, 2009. Health Rep. 2012;23:3–8.

    Google Scholar 

Download references

Acknowledgments

The authors wish to acknowledge Matthew Kumar (Institute for Clinical Evaluative Sciences, Toronto) for his assistance with data presentation.

Funding

This work was supported by a Canadian Institutes of Health Research (CIHR) grant [MOP-136854]. This study was conducted at the Institute for Clinical Evaluative Sciences (ICES), which is funded by an annual grant from the Ontario Ministry of Health and Long-Term Care (MOHLTC). The opinions, results and conclusions reported in this paper are those of the authors and are independent from the funding sources. No endorsement by ICES or the Ontario MOHLTC is intended or should be inferred. Parts of this material are based on data and information compiled and provided by the Canadian Institute for Health Information (CIHI). However, the analyses, conclusions, opinions and statements expressed herein are those of the authors, and not necessarily those of CIHI. The sponsors played no role in the study design; in the collection, analysis and interpretation of data; in the writing of the report; or in the decision to submit the report for publication.

Availability of data and materials

The individual-level data underlying this study are based on records generated from the administration of Ontario’s publicly funded health system. The Institute of Clinical Evaluative Sciences (ICES) has a special designation under Ontario’s Personal Health Information Protection Act to use this data in studies that evaluate health care delivery and outcomes. This designation is granted by the Information and Privacy Commissioner of Ontario, and is contingent on a triennial review and ongoing oversight of the privacy practices at ICES. A variety of measures are deployed to protect the personal health information entrusted to ICES and, under the Personal Health Information Protection Act (Ontario Regulation 329/04), the underlying data are legally not allowed for public repository.

While data sharing agreements prohibit ICES from making the data set publicly available, access may be granted to those who meet pre-specified criteria for confidential access, available at www.ices.on.ca/DAS. The full data set creation plan and underlying analytic code are available from the authors upon request, understanding that the programs may rely upon coding templates or macros that are unique to ICES.

Author information

Authors and Affiliations

  1. Schools of Pharmacy and Public Health & Health Systems, University of Waterloo, 200 University Ave. W, Waterloo, ON, N2L 3G1, Canada

    Colleen J. Maxwell

  2. Institute for Clinical Evaluative Sciences, 2075 Bayview Ave, Toronto, ON, M4N 3M5, Canada

    Colleen J. Maxwell, Michael A. Campitelli, Christina Diong, Luke Mondor & Susan E. Bronskill

  3. Health System Performance Research Network, Toronto, ON, Canada

    Luke Mondor

  4. Division of Geriatric Medicine, Department of Medicine, University of Calgary, HSC-3330 Hospital Drive NW, Calgary, AB, T2N 4N1, Canada

    David B. Hogan

  5. School of Epidemiology, Public Health & Preventive Medicine, University of Ottawa, 451 Smyth Road, Ottawa, ON, K1H 8M5, Canada

    Joseph E. Amuah

  6. School of Public Health & Health Systems, University of Waterloo, 200 University Ave. W, Waterloo, ON, N2L 3G1, Canada

    Sarah Leslie

  7. Division of Geriatric Psychiatry, Queen’s University & Providence Care Hospital, 752 King Street W, Kingston, ON, K7L 4X3, Canada

    Dallas Seitz

  8. Department of Medicine, Queen’s University & Providence Care Hospital, 752 King Street W, Kingston, ON, K7L 4X3, Canada

    Sudeep Gill

  9. Ottawa Hospital Research Institute, 501 Smyth Road, PO Box201B, Ottawa, ON, K1H 8L6, Canada

    Kednapa Thavorn

  10. Institute of Health Policy Management & Evaluation, University of Toronto, 155 College Street, Toronto, ON, M5T 3M6, Canada

    Walter P. Wodchis

  11. Department of Family Medicine, University of Alberta, 8440 112 St. NW, Edmonton, AB, T6G 2R7, Canada

    Andrea Gruneir

  12. Department of Community Health & Epidemiology, College of Medicine, University of Saskatchewan, Health Science Building, 107 Wiggins Rd, Saskatoon, SK, S7N 5E5, Canada

    Gary Teare

Authors
  1. Colleen J. Maxwell
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  2. Michael A. Campitelli
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  3. Christina Diong
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  4. Luke Mondor
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  5. David B. Hogan
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  6. Joseph E. Amuah
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  7. Sarah Leslie
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  8. Dallas Seitz
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  9. Sudeep Gill
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  14. Susan E. Bronskill
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Contributions

CJM, SEB, MAC, DBH, and LM conceived and designed the study; CD, with assistance from MAC and LM, carried out the statistical analyses; DBH, JEA, SL, DS, SG, KT, WPW, AG, and GT made substantial contributions to the interpretation of data; CJM wrote the initial version of the manuscript and MAC, CD, LM, DBH, JEA, SL, DS, SG, KT, WPW, AG, GT and SEB were involved in revising the manuscript for important intellectual content; CJM, MAC, CD, LM, DBH, JEA, SL, DS, SG, KT, WPW, AG, GT and SEB have read and approved the final version of the manuscript to be published and have agreed to be accountable for all aspects of the work.

Corresponding author

Correspondence to Colleen J. Maxwell.

Ethics declarations

Ethics approval and consent to participate

This study was approved by the Research Ethics Board at Sunnybrook Health Sciences Centre and the University of Waterloo, Office of Research Ethics (ORE File #19950). Informed consent by participants was not required. ICES is a prescribed entity under section 45 of Ontario’s Personal Health Information Protection Act. Section 45 authorizes ICES to collect personal health information, without consent, for the purpose of analysis or compiling statistical information with respect to the management of, evaluation or monitoring of, the allocation of resources to or planning for all or part of the health system. This project was conducted under section 45, and approved by ICES’ Privacy and Compliance Office.

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Not applicable.

Competing interests

The authors declare that they have no competing interests.

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Additional file

Additional file 1

Table S1. (Description of Ontario Home Care and Clinical/Health Administrative Databases); Table S2. (Baseline characteristics of long-stay home care clients in Ontario (2010–2013), by frailty status (n = 234,552)); Table S3. (Proportion of long-stay home care clients who experienced each outcomea during 1 year follow-up, by frailty status); Table S4. (Proportion of long-stay home care clients who experienced each outcomea during 1 year follow-up, by sex and frailty status); Table S5. (Proportion of long-stay home care clients who experienced each outcomea during 1 year follow-up, by presence of caregiver distress and frailty status). (DOCX 33 kb)

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Maxwell, C.J., Campitelli, M.A., Diong, C. et al. Variation in the health outcomes associated with frailty among home care clients: relevance of caregiver distress and client sex. BMC Geriatr 18, 211 (2018). https://0-doi-org.brum.beds.ac.uk/10.1186/s12877-018-0899-8

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Keywords

BMC Geriatrics

ISSN: 1471-2318

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