A pilot study to identify factors associated with frailty within the World Trade Center general responder cohort.

BACKGROUND: Given the significant exposures experienced by the World Trade Center (WTC) general responders, there is increasing interest in understanding the effect of these exposures on aging in this population. We aim to identify factors that may be associated with frailty, a clinical syndrome characterized by a decrease in one's reserve that has been linked to poor health outcomes. METHODS: WTC general responders enrolled in the WTC Health Program aged 50 and older provided informed consent. Validated frailty assessments, the Frailty Phenotype (with the Johns Hopkins Frailty Assessment Calculator) along with the FRAIL scale, categorized nonfrail from prefrail/frail. Fall risk, functional status, and cognition were also assessed. WTC variables, including an identified WTC-certified condition, were utilized. The risk of frailty was estimated using log binomial regression analysis. A 95% confidence interval (CI) was used to estimate the prevalence ratio (PR). RESULTS: One hundred and six participants were included; 38 (35.8%) were classified as pre-frail or frail. More of the pre-frail/frail group were obese (57.9% vs. 25%; p = 0.004) and had a WTC-certified condition (78.9% vs. 58.8%; p = 0.036). Obesity (PR = 2.43, 95% CI = 1.31, 4.53), a WTC-certified condition (PR = 1.77, 95% CI = 1.09, 2.89), and risk of falling (PR = 1.97, 95% CI = 1.01, 3.84) were independently associated with frailty. CONCLUSIONS: Obesity and having a WTC-certified condition were found to be risk factors for frailty in our pilot study. Future work may focus on further identifying risk factors for frailty in the larger WTC general responder population.

Variation in Hospice Aide Care by Residential Setting.

Background: Hospice care frequently includes hands-on care from hospice aides, but the need for hospice aide care may vary in residential settings (e.g., assisted livings and nursing homes). Objectives: The objective of this study is to compare hospice aide use and factors associated with use across residential settings. Design: This longitudinal cohort study used data from Medicare beneficiaries in the United States enrolled in the Medicare Current Beneficiary Survey (MCBS) who died between 2010 and 2019 and had hospice claims and available residential setting data in MCBS (n = 1,915). Analysis: Decedent hospice aide use was compared by residential settings; multivariable models controlling for sociodemographic, clinical/functional, and hospice characteristics examined factors associated with hospice aide care in different residential settings. Results: Hospice aide visits were least common in the community setting (64.4% vs. 76.6% vs. 72.6% with any hospice aide visits in community, assisted living, and nursing home, respectively, p = 0.001). In adjusted models, factors associated with hospice aide visits did not significantly differ by residential settings. Conclusions: Despite staff providing hands-on support in assisted livings and nursing homes, hospice aide visits were more common in residential as opposed to community settings, and factors associated with hospice aide visits were similar among settings. To maximize the potentially positive impact of hospice aides on overall care, additional work is needed to understand when hospice aides are used and how hospice aides collaborate with families and care teams. This will help to ensure that hospice care is appropriately tailored to individual care needs in all residential settings.

Leveraging Existing Datasets to Advance Family Caregiving Research: Opportunities to Measure What Matters.

More than 17.7 million people in the U.S. care for older adults. Analyzing population datasets can increase our understanding of the needs of family caregivers of older adults. We reviewed 14 U.S. population-based datasets (2003-2023) including older adults' and caregivers' data to assess inclusion and measurement of 8 caregiving science domains, with a focus on whether measures were validated and/or unique variables were used. Challenges exist related to survey design, sampling, and measurement. Findings highlight the need for consistent data collection by researchers, state, tribal, local, and federal programs, for improved utility of population-based datasets for caregiving and aging research.

Home Care Worker Continuity in Home-Based Long-Term Care: Associated Factors and Relationships With Client Health and Well-Being.

Background and Objectives: Despite the importance of provider continuity across healthcare settings, continuity among home care workers who provide hands-on long-term care is understudied. This project describes home care worker continuity, identifies factors associated with increased continuity, and examines associations between continuity and client outcomes. Research Design and Methods: We conducted a retrospective cohort study of clients receiving Medicaid-funded home-based long-term care (n = 3,864) using insurance plan and home care agency data from a large nonprofit organization. We estimated home care worker continuity for clients between 6-month clinical assessments using Bice-Boxerman scores. We then used generalized estimating equations to model associations between home care worker continuity and (1) client characteristics (e.g., cognitive impairment), and (2) client functional, health, and psychosocial outcomes. Results: While home care worker continuity was lowest for clients receiving the most weekly care hours, a range of continuity existed across all levels of care need. Those who were male, older, Asian/Pacific Islander/Native American, cognitively impaired, and functionally impaired had lower continuity. Higher home care worker continuity was significantly associated (p < .05) with fewer falls, a higher likelihood of functional improvement/stabilization, and fewer depressive symptoms. Discussion and Implications: The finding that home care worker continuity is associated with the health and well-being of home-based long-term care clients underscores the importance of building high-quality relationships in long-term care. Continued efforts are necessary to understand and advance home care worker continuity and to identify other aspects of the home care experience that benefit those receiving long-term care at home.

Community paramedicine in dementia care.

BACKGROUND: Novel hospital diversion strategies are needed to support a growing number of patients with dementia living in the community. One promising model is community paramedicine (CP), which deploys paramedics to the home, who consult with a physician to coordinate treatment and assess disposition. While evidence suggests CP can manage many patients without escalation to the emergency department (ED), no studies have evaluated optimal CP utilization for patients with dementia. Therefore, we compare the use and outcomes of CP for homebound patients with and without dementia. METHODS: This retrospective cohort study examines 251 homebound patients receiving home-based primary care, who utilized a physician-led CP service between March 2017 and May 2022. Linked electronic health record data included patient demographics, clinical characteristics, and CP encounter details. Dementia status and CP outcomes, including rates of ED transport, over-transport (i.e., transported, but not hospitalized), and under-transport (i.e., not transported, but ED visit within 3 days), were determined via chart review. Using logistic regression, we modeled the association of dementia status with over- and under-transport, adjusting for age, sex, and chief complaint. RESULTS: Fifty-three percent of CP patients had dementia. Their most common chief complaints were dyspnea (24.3%), altered mental status (17.9%), and generalized weakness (9.8%). We found no significant difference in ED transport rates by dementia status (25.4 vs. 22.8%, p = 0.54). Dementia diagnosis was associated with lower rates of over-transport (OR = 0.21, p = 0.03, CI [0.05, 0.85]) and comparable rates of under-transport (OR = 0.70, p = 0.47, CI [0.27, 1.83]) in adjusted models. CONCLUSIONS: CP has effectively managed a diverse population of homebound patients with dementia cared for via home-based primary care. Future work should examine potential cost savings and use of CP in dementia care across geographic and healthcare settings.

Clinician Perception of Likelihood of Death in the Next Year Is Associated With 1-Year Mortality and Hospice Use Among Older Adults Receiving Home Health Care.

Background: Given the complex care needs of older adults receiving home health care (HHC), it is important for HHC clinicians to identify those with limited prognosis who may benefit from a transition to hospice care. Objectives: To assess the association between HHC clinician-identified likelihood of death and (1) 1-year mortality, and (2) hospice use. Methods: Prospective cohort study from the National Health and Aging Trends Study (NHATS) waves 2011-2018, linked to the Outcomes and Assessment Information Set (OASIS) HHC assessment and Medicare data among 915 community-dwelling NHATS respondents. HHC clinician-identified likelihood of death/decline was determined using OASIS item M1034. Multivariable logistic regression was used to assess the association between clinician-identified likelihood of death/decline and 1-year mortality and hospice use. Results: HHC clinicians identified 42% of the sample as at increased risk of decline or death. One year mortality was 22.3% (n = 548), and 15.88% (n = 303) used hospice within 12 months of HHC. HHC clinician-perceived likelihood of death/decline was associated with greater odds of 1-year mortality (odds ratio [OR], 6.57; confidence interval (95% CI), 2.56-16.90) and was associated with greater likelihood of hospice use (OR, 1.61; 95% CI, 1.00-2.62). Conclusion: HHC clinician perception of patients' risk of death or decline is associated with 1-year mortality. A better understanding of HHC patients at high risk for mortality can facilitate improved care planning and identification of homebound older adults who may benefit from hospice.

Variation in Home Healthcare Use by Dementia Status Among a National Cohort of Older Adults.

BACKGROUND: Medicare-funded home healthcare (HHC) delivers skilled nursing, therapy, and related services through visits to the patient's home. Nearly one-third (31%) of HHC patients have diagnosed dementia, but little is currently known regarding how HHC utilization and care delivery differ for persons living with dementia (PLwD). METHODS: We drew on linked 2012-2018 Health and Retirement Study and Medicare claims for a national cohort of 1 940 community-living older adults. We described differences in HHC admission, length of stay, and referral source by patient dementia status and used weighted, multivariable logistic and negative binomial models to estimate the relationship between dementia and HHC visit type and intensity while adjusting for sociodemographic characteristics, health and functional status, and geographic/community factors. RESULTS: PLwD had twice the odds of using HHC during a 2-year observation period, compared to those without dementia (odds ratio [OR]: 2.03; p < .001). They were more likely to be referred to HHC without a preceding hospitalization (49.4% vs 32.1%; p < .001) and incurred a greater number of HHC episodes (1.4 vs 1.0; p < .001) and a longer median HHC length of stay (55.8 days vs 40.0 days; p < .001). Among post-acute HHC patients, PLwD had twice the odds of receiving social work services (unadjusted odds ratio [aOR]: 2.15; p = .008) and 3 times the odds of receiving speech-language pathology services (aOR: 2.92; p = .002). CONCLUSIONS: Findings highlight HHC's importance as a care setting for community-living PLwD and indicate the need to identify care delivery patterns associated with positive outcomes for PLwD and design tailored HHC clinical pathways for this patient subpopulation.

Spatiotemporal Patterns of Hospitalizations Among Older Adults With Co-Presence of Cancer and Dementia in US Counties: 2013-2018.

We assessed the spatiotemporal patterns of hospitalization with comorbid cancer and dementia. Using the 2013-2018 inpatient claims data for Medicare fee-for-service (FFS) beneficiaries, we calculated hospitalization rates by dividing the total admissions from individuals with the co-presence of a major cancer (breast, prostate, lung, and colorectal) and dementia diagnoses with the total counts of FFS beneficiaries aged 65 or older. We identified 22 hotspots with high hospitalization rates that showed heterogeneous spatial and temporal utilization patterns. The odds of a county being a hotspot increased significantly with the county-level percentage of dual Medicare-Medicaid beneficiaries (aOR 1.05; 95% CI: 1.04-1.07) and the prevalence of cancer (aOR 1.73; 95% CI: 1.59-1.89), while decreased significantly with increasing degree of rurality (aOR .82; 95% CI: .79-.85) and decreased yearly over time (aOR .72; 95% CI: .68-.75). The identified hotspots and factors at the county-level may help understand healthcare utilization patterns and assess resource allocation for this unique patient group.

Drivers of Community-Entry Home Health Care Utilization Among Older Adults.

OBJECTIVES: A growing proportion of Medicare home health (HH) patients are "community-entry," meaning referred to HH without a preceding hospitalization. We sought to identify factors that predict community-entry HH use among older adults to provide foundational information regarding care needs and circumstances that may prompt community-entry HH referral. DESIGN: Nationally representative cohort study. SETTING AND PARTICIPANTS: Health and Retirement Study (HRS) respondents who were aged ≥65 years, community-living, and enrolled in Medicare between 2012 and 2018 (n = 11,425 unique individuals providing 27,026 two-year observation periods). METHODS: HRS data were linked with standardized HH patient assessments. Community-entry HH utilization was defined as incurring one or more HH episode with no preceding hospitalization or institutional post-acute care stay (determined via assessment item indicating institutional care within 14 days of HH admission) within 2 years of HRS interview. Weighted, multivariable logistic regression was used to model community-entry HH use as a function of individual, social support, and community characteristics. RESULTS: The overall rate of community-entry HH utilization across observation periods was 13.4%. Older adults had higher odds of community-entry HH use if they were Medicaid enrolled [adjusted odds ratio (aOR) = 1.49, P = .001], had fair or poor overall health (aOR = 1.48, P < .001), 3+ activities of daily living limitations (aOR = 1.47, P = .007), and had fallen in the past 2 years (aOR = 1.43, P < .001). Compared with those receiving no caregiver help, individuals were more likely to use community-entry HH if they received family or unpaid help only (aOR = 1.81, P < .001), both family and paid help (aOR = 2.79, P < .001), or paid help only (aOR: 3.46, P < .001). CONCLUSIONS AND IMPLICATIONS: Findings indicate that community-entry HH serves a population with long-term care needs and coexisting clinical complexity, making this an important setting to provide skilled care and prevent avoidable health care utilization. Results highlight the need for ongoing monitoring of community-entry HH accessibility as this service is a key component of home-based care for a high-need subpopulation.

Profile of Older Dual-Enrollees Living in Areas with Managed Long-Term Services and Supports.

OBJECTIVES: Nearly half of all state Medicaid agencies in the United States have implemented managed long-term services and supports (MLTSS). Data gaps have inhibited our understanding of MLTSS experiences to date. We draw on a national survey with novel data linkages to develop a profile of older dual-enrollees with significant LTSS needs by MLTSS program presence. DESIGN: Cross-sectional observational study using the 2015 round of the National Health and Aging Trends Study (NHATS), a longitudinal study of a nationally representative sample of Medicare beneficiaries aged 65 years and older. SETTING AND PARTICIPANTS: The sample comprised 275 participants who self-reported Medicaid enrollment and met our definition of significant LTSS need as defined by receiving help with 2 or more self-care or mobility activities (eating, bathing, toileting, dressing, bed transfer, indoor mobility). METHODS: Bivariate analyses were used to comparatively examine differences in demographic, health, and care circumstances by MLTSS, as defined by living in a county with MLTSS program presence. RESULTS: Among approximately 1 million (weighted sample) older dual-enrollees with significant LTSS needs, 56.2% (weighted percentage) lived in counties with MLTSS and 43.7% lived in counties with mandatory MLTSS enrollment in 2015. Those living in areas with MLTSS were much more likely to be of Hispanic or other race and ethnicity (50.5% vs 15.1%, P < .001) yet less likely to live in a rural location (8.7% vs 31.4%, P < .05) or in a residential care facility or nursing home (18.4% vs 34.7%, P < .05). The majority (78.5%) received assistance from 2 or more helpers and received more than 70 hours of care per week. CONCLUSIONS AND IMPLICATIONS: Our findings reinforce the growing reach of MLTSS programs and importance of filling evidence gaps about who these programs are serving.

Home-Delivered Meals and Nursing Home Placement Among People With Self-Reported Dementia: A Pilot Pragmatic Clinical Trial.

Importance: Home-delivered meals promote food security and independence among homebound older adults. However, it is unclear which of the 2 predominant modes of meal delivery, daily-delivered vs mailed (or drop-shipped) frozen meals, promotes community living for homebound older adults with dementia. Objective: To assess the risk of nursing home admission within 6 months between homebound individuals receiving daily-delivered vs drop-shipped frozen meals. Design, Setting, and Participants: This pilot, multisite, 2-arm, pragmatic clinical trial included older adults with self-reported dementia on waiting lists for meals at 3 Meals on Wheels (MOW) programs in Texas and Florida between April 7 and October 8, 2021, to assess time to nursing home placement. Interventions: Participants were randomized to receive either meals delivered by an MOW driver or frozen meals that were mailed to participants' homes every 2 weeks. Participants received their assigned intervention for up to 6 months. Main Outcomes and Measures: The primary study outcome was days from randomization to a Minimum Data Set nursing home admission assessment within 6 months. Feasibility of conducting this type of study was examined by tracking enrollment, examining baseline characteristics, monitoring participants' intervention fidelity, measuring the proportion of participants linked with Centers for Medicare & Medicaid Services (CMS) data, and analyzing the primary study outcome. Results: Among 325 eligible participants who were randomized, 243 enrolled in the study (mean [SD] age, 81 [8.0] years; 152 (62.6%) were female): 128 to the daily-delivered meals group and 115 to the drop-shipped frozen meals group; 119 participants (49.0%) lived alone. Among the total participants enrolled, 227 (93.4%) were linked deterministically to their CMS data; probabilistic methods were used to link the remaining 16 participants (6.6%). At 6 months from randomization, 160 participants (65.8%) were still receiving meals, and 25 (10.1%; 95% CI, 6.3%-14.0%) were admitted to a nursing home. After adjusting for sex, race and ethnicity, age, program, and living arrangement and the use of death as a censoring event, the adjusted log hazard ratio of nursing home placement between daily-delivered and drop-shipped frozen meals was -0.67 (95% CI, -1.52 to 0.19). Conclusions and Relevance: This pilot randomized clinical trial demonstrated the feasibility of enrolling participants with self-reported dementia on waiting lists at MOW programs, linking their data, and evaluating outcomes. While this pilot study was not powered to detect meaningful, statistically significant differences in nursing home placement, its feasibility and initial results warrant exploration in a follow-on, adequately powered trial. Trial Registration: ClinicalTrials.gov Identifier: NCT04850781.

What Is Most Important to Family Caregivers When Helping Patients Make Treatment-Related Decisions: Findings from a National Survey.

Prioritizing patient values-who/what matters most-is central to palliative care and critical to treatment decision making. Yet which factors are most important to family caregivers in these decisions remains understudied. Using data from a U.S. national survey of cancer caregivers (N = 1661), we examined differences in factors considered very important by caregivers when partnering with patients in cancer treatment decision making by cancer stage and caregiver sociodemographics. Fifteen factors were rated on a 4-point Likert-scale from 'very unimportant' to 'very important.' Descriptive statistics were used to characterize caregiver factors and tabulate proportions of importance for each. Generalized linear mixed effect modeling was used to examine the importance of factors by cancer stage, and chi-square analyses were performed to determine associations between caregiver sociodemographics and the five most commonly endorsed factors: quality of life (69%), physical well-being (68%), length of life (66%), emotional well-being (63%), and opinions/feelings of oncology team (59%). Significant associations (all p's < 0.05) of small magnitude were found between the most endorsed factors and caregiver age, race, gender, and ethnicity, most especially 'opinions/feelings of the oncology team'. Future work is needed to determine the best timing and approach for eliciting and effectively incorporating caregiver values and preferences into shared treatment decision making.

County-Level Social Vulnerability, Metropolitan Status, and Availability of Home Health Services.

This cross-sectional study assesses county-level differences in home-based medical care and home health care by social vulnerability and metropolitan status.

Health care utilization and costs in the years preceding dementia identification.

INTRODUCTION: There is evidence that health care utilization increases after incident dementia, particularly after dementia diagnosis and toward the end of life; however, less is known about utilization in the years before dementia identification. METHODS: In this retrospective cohort study we obtained data on n = 5547 beneficiaries from the Health and Retirement Study (HRS)-Medicare linked sample (n = 1241 with and n = 4306 without dementia) to compare longitudinal trends in health care costs and utilization in the 6 years preceding dementia identification relative to a confounder-balanced reference group without dementia. RESULTS: We found that persons with dementia had a greater prevalence of outpatient emergency department (ED), inpatient hospital, skilled nursing, and home health use, and total health care costs in the years preceding dementia identification compared to their similar counterparts without dementia across a comparable timespan in later life. CONCLUSIONS: This study provides evidence to suggest greater healthcare burden may exist well before clinical manifestation and identification of dementia. HIGHLIGHTS: Several studies have documented the tremendous healthcare-related costs of living with dementia, particularly toward the end of life. Dementia is a progressive neurodegenerative disease, which, for some, includes a prolonged pre-clinical phase. However, health services research to date has seldom considered the time before incident dementia. This study documents that health care utilization and costs are significantly elevated in the years before incident dementia relative to a demographically-similar comparison group without dementia.

Home-Based Medical Care Use In Medicare Advantage And Traditional Medicare In 2018.

The use of home-based medical care differed in Medicare Advantage and traditional Medicare in 2018. Having exactly one such visit was thirty-one times as likely for Medicare Advantage beneficiaries (18.6 percent) as for traditional Medicare beneficiaries (0.6 percent), likely reflecting incentives in the Medicare Advantage program to code all accurate diagnoses. Multiple home-based medical care visits were less likely in Medicare Advantage than in traditional Medicare (1.6 percent versus 2.1 percent of beneficiaries, respectively).

Disparities and determinants of place of death: Insights from the Utah Population Database.

To better understand determinants and potential disparities in end of life, we model decedents' place of death with explanatory variables describing familial, social, and economic resources. A retrospective cohort of 204,041 decedents and their family members are drawn from the Utah Population Database family caregiving dataset. Using multinomial regression, we model place of death, categorized as at home, in a hospital, in another location, or unknown. The model includes family relationship variables, sex, race and ethnicity, and a socioeconomic status score, with control variables for age at death and death year. We identified the effect of a family network of multiple caregivers, with 3+ daughters decreasing odds of a hospital death by 17 percent (OR: 0.83 [0.79, 0.87], p < 0.001). Place of death also varies significantly by race and ethnicity, with most nonwhite groups more likely to die in a hospital. These determinants may contribute to disparities in end of life.

Effects of a Rehabilitation-at-Home Program Compared to Post-acute Skilled Nursing Facility Care on Safety, Readmission, and Community Dwelling Status: A Matched Cohort Analysis.

OBJECTIVES: To evaluate the effectiveness and safety of Rehabilitation-at-Home (RaH), which provides high-frequency, multidisciplinary post-acute rehabilitative services in patients' homes. DESIGN: Comparative effectiveness analysis. SETTING AND PARTICIPANTS: Medicare Fee-For-Service patients who received RaH in a Center for Medicare and Medicaid Innovation Center Demonstration during 2016-2017 (N=173) or who received Medicare Skilled Nursing Facility (SNF) care in 2016-2017 within the same geographic service area with similar inclusion and exclusion criteria (N=5535). METHODS: We propensity-matched RaH participants to a cohort of SNF patients using clinical and demographic characteristics with exact match on surgical and non-surgical hospitalizations. Outcomes included hospitalization within 30 days of post-acute admission, death within 30 days of post-acute discharge, length of stay, falls, use of antipsychotic medication, and discharge to community. RESULTS: The majority of RaH participants were older than or equal to 85 years (57.8%) and non-Hispanic white (72.2%) with mean hospital length of stay of 8.1 (SD 7.6) days. In propensity-matched analyses, 10.1% (95% CI: 0.5%, 19.8) and 4.2% (95% CI: 0.1%, 8.5%) fewer RaH participants experienced hospital readmission and death, respectively. RaH participants had, on average, 2.8 fewer days (95% CI 1.4, 4.3) of post-acute care; 11.4% (95% CI: 5.2%, 17.7%) fewer RaH participants experienced fall; and 25.8% (95% CI: 17.8%, 33.9%) more were discharged to the community. Use of antipsychotic medications was no different. CONCLUSIONS AND IMPLICATIONS: RaH is a promising alternative to delivering SNF-level post-acute RaH. The program seems to be safe, readmissions are lower, and transition back to the community is improved.

Family caregiver roles and challenges in assisting patients with cancer treatment decision-making: Analysis of data from a national survey.

BACKGROUND: We aimed to describe the roles and challenges of family caregivers involved in patients' cancer treatment decision-making. METHODS: Family caregiver-reported data were analyzed from a national survey conducted in the United States by CancerCare® (2/2021-7/2021). Four select-all-that-apply caregiver roles were explored: (1) observer (patient as primary decision-maker); (2) primary decision-maker; (3) shared decision-maker with patient and (4) decision delegated to healthcare team. Roles were compared across five treatment decisions: where to get treatment, the treatment plan, second opinions, beginning treatment and stopping treatment. Ten challenges faced by caregivers (e.g., information, cost, treatment understanding) were then examined. χ2 and regression analyses were used to assess associations between roles, decision areas, challenges and caregiver sociodemographics. RESULTS: Of 2703 caregiver respondents, 87.6% reported involvement in patient decisions about cancer treatment, including 1661 who responded to a subsection further detailing their roles and challenges with specific treatment decisions. Amongst these 1661 caregivers, 22.2% reported an observing role, 21.3% a primary decision-making role, 53.9% a shared decision-making role and 18.1% a role delegating decisions to the healthcare team. Most caregivers (60.4%) faced ≥1 challenge, the most frequent being not knowing how treatments would affect the patient's physical condition (24.8%) and quality of life (23.2%). In multivariable models, being Hispanic/Latino/a was the strongest predictor of facing at least one challenge (b = -0.581, Wald = 10.69, p < .01). CONCLUSIONS: Most caregivers were involved in patients' cancer treatment decisions. The major challenge was not understanding how treatments would impact patients' physical health and quality of life. Challenges may be more commonly faced by Hispanic/Latino/a caregivers. PATIENT OR PUBLIC CONTRIBUTION: The CancerCare® survey was developed in partnership with caregiving services and research experts to describe the role of cancer family caregivers in patient decision-making and assess their needs for support. All survey items were reviewed by a CancerCare advisory board that included five professional patient advocates and piloted by a CancerCare social worker and other staff who provide counselling to cancer caregivers.