Abstract
Although many persons with severe dementia (PWSDs) are cared for at home by their family caregivers, few studies have assessed end of life (EOL) care experiences of PWSDs. We present the protocol for the PISCES study (Panel study Investigating Status of Cognitively impaired Elderly in Singapore) which aims to describe the clinical course, health care utilization, and expenditures for community-dwelling PWSDs; and perceived burden, coping, resilience, anticipatory and prolonged grief among their caregivers. This ongoing multi-center prospective longitudinal study is recruiting primary informal caregivers of 250 PWSDs from major restructured public hospitals, community hospitals, home care foundations, and hospices in Singapore. Caregivers are surveyed every four months for two years or until the PWSD passes away and then at eight weeks and six months post-death to assess the bereavement of the caregiver. Survey questionnaires included validated tools to assess PWSDs’ quality of life, suffering, behaviors, functional status, resource utilization; and caregiver’s satisfaction with care, awareness of prognosis, care preferences, resilience, coping, perceived burden, distress, positive aspects of caregiving, anticipatory grief, and bereavement adjustment. We also conduct qualitative in-depth interviews with a sub-sample of caregivers. The survey data is being linked with medical and billing records of PWSDs. The study has been approved by an ethics board. Results from the study will be disseminated through publications and presentations targeting researchers, policy makers and clinicians interested in understanding and improving EOL care for PWSDs and their caregivers.
Keywords
INTRODUCTION
Dementia is a public health priority, increasing in prevalence with an aging population. It currently affects over 46 million people worldwide and is expected to affect 132 million by 2050 [1]. Those in its severe stages usually live for one to three years and experience profound deficits in memory, orientation, function, decision-making abilities, speech, and attention along with severe behavior or personality changes and loss of autonomy [2, 3]. Despite this, dementia is often not perceived to be a life-limiting or terminal condition resulting in less than optimal EOL care [4–6]. Providing quality end-of-life (EOL) care to persons with severe dementia (PWSDs) and their caregivers thus constitutes an integral and essential part of dementia and palliative care services.
In Singapore (the setting for this study), dementia affects 10% of the elderly population [2]. Many PWSDs in Singapore, and in other Asian countries, are cared for at home by their family caregivers [7–9]. However, most studies describing EOL experiences of PWSDs have been conducted in Western countries and have focused solely on those residing in nursing homes [10–14]. Literature is sparse regarding experiences of community-dwelling PWSDs and their caregivers in Singapore and other Asian countries [15]. PWSDs residing in the community differ markedly from those in nursing homes in terms of their disease trajectory, management, and EOL care decision-making [16–18]. EOL experiences of PWSDs and their caregivers are also likely to vary between countries [19]. As a result, findings from Western countries and from nursing homes offer limited value and direction to optimize care for community-dwelling PWSDs and their caregivers in Singapore and other Asian countries. Providing systematic information regarding the clinical course of community-dwelling PWSDs in Singapore can help identify gaps in current care in order to improve well-being of these PWSDs and potentially to prevent their institutionalization.
Several factors can determine care at EOL for PWSDs. One of these is caregivers’ understanding of the progressive and terminal nature of dementia [20–22]. Studies among cognitively intact patients with advanced cancer show that most patients lack an accurate understanding of their prognosis and believe that the chemotherapies they are receiving are intended to cure their condition [23]. Such patients are also more likely to choose aggressive treatments at EOL [24]. Less is known about the extent to which caregivers of PWSDs understand the terminal nature of dementia and how this influences EOL care for PWSD, especially in Singapore and in other Asian countries.
Research over the past three decades has also extensively documented the negative psychological impact of caring for people with dementia [25], including a high prevalence of depressive symptoms among caregivers [26–28]. Studies also show that many caregivers of PWSDs experience complicated grief during bereavement [29–32]. The relationship between providing high-intensity care to PWSDs, caregiver burden and development of complicated grief symptoms during bereavement is, however, not clearly elucidated.
Several cost-of-illness studies have been conducted among persons with dementia [33–37]. The worldwide cost of dementia care is estimated to be over US$818 billion and is expected to increase to a trillion dollar budget by 2018 [2]. According to Alzheimer Disease International (2014), the estimated annual cost of dementia in 2015 for Singapore was US$1,664 million [38]. Yet, less is known about annual and EOL direct and indirect costs for PWSDs and the extent to which they vary by factors such as type of health insurance for patients, patient’s comorbidities, presence of an advance care plan, family’s socioeconomic status, presence of a paid domestic helper (again, a factor relatively unique to Singapore and some other Asian countries), and caregiver burden. This data is essential to plan interventions that can potentially reduce the social cost of caring for PWSDs.
Another challenge is physicians’ difficulty in estimating prognosis for community-dwelling PWSDs [39]. Existing guidelines including Functional Assessment Staging (FAST) criteria [40, 41], Advanced Dementia Prognostic Tool [42], Alzheimer’s-Hospice Placement Evaluation Scale [43], Mitchell Novel Risk Score [44], and Mini Suffering State Examination [45–47] have primarily been used to assess nursing home residents rather than community-dwelling PWSDs [41]. Assessing factors that predict mortality risk among community-dwelling PWSDs will allow physicians to more appropriately and timely refer PWSDs to palliative or hospice care services and their caregivers to make informed decisions regarding PWSD’s EOL care.
To address these gaps in the literature, we initiated data collection for a 3-year prospective longitudinal study of community-dwelling PWSDs and their caregivers in May 2018. The study titled “Panel study Investigating Status of Cognitively impaired Elderly in Singapore (PISCES)” is being conducted in Singapore, a rapidly aging South-East Asian country with a multi-ethnic population [48]. Through PISCES, we aim to 1) describe the clinical course of community-dwelling PWSDs during their EOL period including their physical symptoms, behavioral problems, suffering, clinical complications experienced, use of burdensome interventions, physical restraints, and feeding tubes; 2) quantify their health care use and expenditures; 3) assess factors that predict their mortality; and 4) assess perceived burden, coping, resilience, anticipatory and prolonged grief among their caregivers. Through in-depth qualitative interviews with caregivers of PWSDs, we also aim to understand how caregivers make EOL care decisions for PWSDs.
This study with a mixed-methods design is the first-of-its-kind. It incorporates a prospective longitudinal study to assess the EOL period comprehensively in community-dwelling PWSD and their caregivers. This paper presents the full protocol of this study.
METHODS
Study participants and setting
Primary informal caregivers of 250 community-dwelling PWSDs are surveyed every four months for at least two years or until the PWSD passes away and then at eight weeks and six months post-death to assess bereavement among their caregivers. We also link the survey data with PWSDs’ medical and billing records.
Eligibility criteria for PWSDs include (a) being a Singapore citizen/permanent resident, (b) having a primary/secondary diagnosis of dementia with severity FAST stage 6 C or higher, (c) currently residing and expected to reside in Singapore for the next two years, and (d) having a family member residing in Singapore. PWSDs staying in long-term care facilities, such as nursing homes, are excluded. Inclusion criteria for caregivers are (a) being Singapore citizen/permanent resident, (b) aged ≥21 years, (c) having intact cognition as determined through the Abbreviated Mental Test (AMT) [49] for those aged ≥65 years, (d) family member of the PWSD, (e) currently residing and expected to reside in Singapore for the next 2 years, (f) main person or one of the main persons involved in making decisions regarding PWSD’s treatment or responsible for ensuring the well-being of the PWSD, and (g) meets the PWSD at least one day in a week (regardless of the amount of time spent seeing the PWSD in a day).
After the caregiver of PWSD is recruited in the study, the primary treating physician of that PWSD is also enrolled in the study and interviewed once during the course of the study.
The study protocol and all study-related documents were approved and are monitored by Institutional Review Boards at SingHealth (2017/2989) and National University of Singapore (H-18-024).
Recruitment and follow-ups
Eligible caregivers are recruited from memory/geriatrics clinics and general medicine wards of seven major public restructured hospitals in Singapore, six home care foundations and two hospices. The study workflow is described in Fig. 1. Health care providers at each site identify and approach eligible participants to take part in the study. This helps to improve response rate. Following verbal consent, health care providers send the details of eligible caregivers to the research team.

Study workflow.
As Singapore grants do not provide protected research time for our clinical co-investigators, a significant amount of time and effort is subsequently spent by the research staff hired on this project. A trained research coordinator (RC) from the team contacts the caregiver over the phone to schedule a face-to-face interview. Interviews are held at a time and place convenient to the caregivers. For working caregivers, interviews are also scheduled over weekends and after work hours.
Before initiating the interview, the caregiver provides written informed consent. Caregivers aged ≥65 years answer the Abbreviated Mental Test (AMT). Those without cognitive impairment (threshold score based on age and years of education) [50] subsequently answer the baseline survey questionnaire. Surveys are conducted in the caregivers’ preferred language (English/Mandarin/Malay). As PWSDs cannot be interviewed, all information about them is also collected from the caregivers. Survey data is captured electronically using tablets on Qualtrics. At the end of the survey, caregivers receive $80 as a token of appreciation for their participation.
Table 1 summarizes several ways (Categories A – F) caregivers can participate in the study, depending on their eligibility and interest and the type of data that is ultimately captured.
Type of data retrieved from caregiver
AMT, Abbreviated Mental Test, a cognitive assessment for caregivers above 65 years old; Records review, review of medical and billing data.
Follow-up surveys with caregivers are conducted every four months for two years or until the PWSD’s death. A follow-up time of four months was scheduled to allow us to capture adequately the health care use, acute medical complications, changes in EOL care preferences and other dimensions of EOL care with minimal recall bias. We are using a similar approach for our other ongoing cohort studies with advanced cancer patients and heart failure patients [51, 52].
Interviews with caregivers assessing bereavement adjustment are conducted at eight weeks and six months after PWSD’s death. Medical and billing records of PWSDs are assessed for the treatments received and related costs and linked with survey records. A one-time survey is also administered to the primary treating physician of individuals at the time of recruitment.
Each caregiver is identified through a unique study code in the dataset. The project manager of the study checks survey responses every week for data quality. These include checking for consistency of responses across similar survey questions, reasonable range of responses and responses suggesting that a participant may not be engaging completely with the survey, e.g., always selects the same survey response option. A monthly progress report is sent to all investigators to update them about the study progress.
Outcome measures
We used standardized translations for all validated scales in the survey when available from developers, or translated and back-translated these scales into local languages (Mandarin and Malay). Bilingual study team members further reviewed the translations for equivalence and cultural appropriateness. We then conducted cognitive interviews with ten eligible caregivers to assess comprehension and relevance of our survey to the local context. We revised the survey to improve comprehension based on the feedback from the interviewer and respondents. The final survey assesses a broad range of topics that include caregivers’ and PWSDs’ quality of life, caregivers’ perception of quality of care for PWSDs, use of burdensome interventions for PWSDs, PWSDs’ health care utilization and the caregivers’ understanding of the PWSDs’ prognosis. If caregivers consent, medical and billing records are accessed for PWSDs’ and caregivers’ diagnostic and treatment information and costs. Data from medical records are linked to information from surveys. The following outcomes are measured in the study (details of scales are in Table 2):
Summary of scales used in the survey
Clinical course of PWSDs. Caregivers are Administered several validated measures to assess the clinical course of PWSDs including their symptoms, functional status, and behaviors. Quality of Life in Patient with Dementia, an eleven-item measure, is used to assess PWSDs’ engagement in basic activities over the last week [53]. PWSDs’ suffering is assessed through the Modified version of the Mini Suffering State Examination [45–47]. Their behaviors are assessed using the fourteen-item Cohen-Mansfield Agitation Inventory–Short Form [54]. Their functional status is assessed using the seven-item Bedford Alzheimer Nursing Severity Scale [55]. We also collect caregivers’ report on PWSDs’ comorbidities, acute medical conditions in the past four months, and use of medical interventions, feeding tube, and physical restraints. Satisfaction with care received by PWSDs. Caregivers’ satisfaction with the overall care received by the PWSD in the past four months is assessed using the ten-item Satisfaction with Care at the End-of-Life in Dementia [56]. Resource utilization for PWSDs. Resources utilized for the care of PWSDs include caregivers’ time, healthcare services, and finances such as the inpatient bill, pharmacy bills, outpatient bills, emergency department bills, hospice/homecare/day care agency bills, and nursing home bills. We use items from Resource Utilization in Dementia-Lite to assess caregivers’ time spent on caregiving tasks [57]. These include Activities of Daily Living (ADLs; assisting the patient with toilet visits, eating, dressing, grooming, walking and bathing), Instrumental ADLs (shopping, food preparation, housekeeping, laundry, transportation, taking medication and managing financial matters), and supervising the patient. Patients’ living accommodation and caregivers’ work status are also assessed. Awareness of prognosis and care preferences. Caregivers’ awareness and understanding of the PWSDs’ prognosis is assessed through questions explicitly developed for the study. Items include caregivers’ level of agreement with the statement that dementia is a disease that one can die from, how old the PWSD might be when he/she passes away, what healthcare providers have told the caregiver about how long the PWSD may live, the primary goal of the PWSDs’ treatment and the caregivers’ preferences for the PWSDs’ treatment. Caregiver resilience and coping. Caregivers’ adaptation to their caregiving responsibilities and coping with stress is measured using the Connor-Davidson Resilience Scale [58] and BriefCOPE [59]. Based on pilot interviews with caregivers, questions on substance use were removed from the survey to reduce respondent burden. Positive aspects of caregiving. These are assessed using Gain in Alzheimer care Instrument (GAIN), which was developed and validated in Singapore (ten items) [60]. Caregiver burden and psychological distress. We use four subscales from the modified Caregiver Reaction Assessment Scale (fifteen items on a five-point scale) [61, 62] to understand negative reactions of caregivers to their caregiving role [61, 62]. We assess caregivers’ psychological distress (defined as depression and anxiety) using the Hospital Anxiety and Depression Scale [63, 64]. Caregiver anticipatory grief. Caregivers’ anticipatory grief is measured using the Singapore version of the Marwit Meuser Caregiver Grief Inventory-Short Form (eighteen items) [65]. Caregiver quality of life 8 weeks and 6 months after PWSD’s death. At 8 weeks and 6 months after PWSD’s death, caregivers are asked to rate their overall health and overall quality of life during the past week on a seven-point Likert scale. Additionally, at 8 weeks, we measure caregivers’ reactions to PWSDs’ death through five items assessing their preparedness for PWSDs’ death, the regrets they have, their mood in the last week, and whether the PWSDs’ death was a relief for the caregivers. At 6 months we also assess their spiritual well-being through the Functional Assessment of Chronic Illness Therapy-Spiritual Well-Being, modified version for non-illness [66–68]. Bereavement adjustment 6 months after PWSD’s death. Caregivers are asked questions on their adjustment to the death of the PWSD through seven items which include their trouble in accepting the death of the PWSD, their amount of grief, how the PWSD’s death bothers them, things they used to do when the PWSD was alive that they no longer engage in, feeling cut off or distant from other people since the PWSD’s death, their mood in the last week, and if they need any assistance with coping with the loss of the PWSD.
Sample size calculation
The study is not a randomized controlled trial, but primarily descriptive and exploratory for multiple outcomes. Therefore, we considered sample sizes for estimating main effects averaged over all follow-up times as well as sample sizes for testing hypotheses involving proportions and means at any given follow-up time. The goal was to enroll an appropriate number of subjects to ensure adequate precision in estimation and power in hypothesis testing among subgroups and at the same time ensuring feasibility. We calculated that for an initial sample size of N = 250, in an analysis of subgroups consisting of n1 = 100 and n2 = 150 subjects with repeated measures over all follow-up times, and intra-class correlations of 0.20–0.50, will achieve 80% power at α= 0.05 to detect differences in main effect proportions of 0.10–0.13 (OR 1.50–1.74) and effect size (Δ/σ) differences in main effect means of 0.20–0.27. With the anticipated reduction in cohort sample size owing to mortality and attrition, a sample size of N = 200 and subgroups of n1 = 75 and n2 = 125 will achieve 80% power to detect differences in main effect proportions of 0.11–0.15 (OR 1.59–1.87) and effect size differences in main effects means of 0.23–0.31. We also calculated that at any given follow-up time a sample size of N = 250 with subgroups of n1 = 100 and n2 = 150 will achieve 80% power to detect differences in proportions of 0.18 (OR = 2.15) and effect size differences between means of 0.36.
Statistical analysis
Logistic mixed-effects models will be used to investigate PWSD and caregiver factors associated with the following PWSD outcomes: 1) receiving burdensome interventions, 2) use of tube feeding, and 3) use of physical restraint. Similarly, we will use Poisson mixed effects models to investigate factors associated with the PWSD’s 1) number of transitions in healthcare settings, 2) number of physical symptoms, 3) number of behavioral problems, and 4) number of hospitalizations, adjusting for confounders.
We anticipate using linear mixed effects models to investigate association between the following outcomes 1) caregiver bereavement adjustment scores, 2) PWSD quality of life score, and 3) PWSD suffering score and the independent variables - number of physical symptoms, receiving aggressive life-extending treatments, physical restraints, numbers of transitions in healthcare settings. We will also use linear mixed effects models to investigate the associations of perceived caregiver burden score (outcome) with caregiver stressors, coping, resilience, and assistance from a paid domestic helper. The interaction effects between caregiver stressors and caregiver resilience will also be tested.
The mixed effects model can handle data that are missing at random (MAR), i.e., chance of being missing does not depend on unobserved outcome values but can depend on covariates and observed outcomes. Assuming that the missing data mechanism involved in the current study satisfies the MAR assumption, we will retain participants with missing outcomes in the analyses rather than delete them.
To quantify PWSDs’ health care use and expenditures, we will estimate the total annual direct medical care, direct social care and indirect costs through an opportunity cost approach (loss of wage due to caregiving) using an appropriate generalized linear model specification. Information on direct medical costs will be assessed through patient bills from all sources of care. Indirect costs will be estimated through surveys. We will also analyze costs by time from death (e.g., last year or last six months) and by type of service (in total and separately for inpatient, non-inpatient, physician’s office, prescription drugs, and alternative medicines). Indirect costs will be stratified by the financial value of both formal and informal care giving, and other indirect costs (e.g., transportation costs). Predictor variables will be attitudes of caregivers towards life extension or quality of life, presence of advance care plan at baseline, presence of a paid domestic helper, and receiving specialist/community palliative care.
We will use univariable and multivariable logistic regression analysis to identify and assess risk factors for PWSD mortality at selected time points.
All analyses will be adjusted for potential confounding between outcomes and main independent variables. Possible confounders may include length of diagnosis with dementia, type of dementia, patient demographics including age, gender, education and ethnic group, caregiver’s relationship with PWSD and caregiver demographics.
Qualitative interviews
Qualitative in-depth interviews are being conducted with at least 10% of the recruited sample of the caregivers to gain a deeper understanding of EOL care decision making processes and the factors that influence their decisions. Interviews, conducted in the caregivers’ language of preference, are semi-structured, based on an interview guide, take about 1 to 3 hours to be completed and are audio recorded. The interview guide consists of open-ended questions that allow the participants to engage in the interviews, accompanied by probing and follow-up questions by the interviewer. The questions are primarily focused on eliciting caregivers’ overall goals of care and treatment preferences for PWSDs, factors that influence their treatment preferences including their perception of PWSDs’ illness, prognosis and quality of life, pressure and support from health care professionals and other family members, religious/spiritual beliefs, caregiver burden and fear of regretting their decision. The interviews are transcribed verbatim, translated to English (when necessary), coded in QSR Nvivo 11 and analyzed using thematic analysis [69].
DISCUSSION
By using a mix of prospective surveys, qualitative in-depth interviews, and medical and billing record abstraction and linkage, this study will be the first-of-its-kind to present a comprehensive picture of the EOL experiences of community-dwelling PWSDs and their caregivers.
These results from the study will be used for policy analysis and for developing interventions to reduce personal and social costs of caring for PWSDs and in efforts to reduce their suffering and caregiver burden. Results will also inform the development of appropriate care pathways, which can foster a comprehensive palliative support system to continue to care for these PWSDs in the community. In addition, the data collected will also help assess factors that predict 6-month and 1-year mortality for community-dwelling PWSDs. Further validation of the risk score will be conducted using a larger dataset in a future study. Using this risk score will ultimately help caregivers make informed EOL decisions for PWSDs, and physicians identify PWSDs eligible for community palliative/hospice care services. Understanding the role that resilience and coping play in buffering the effect of caregiving stressors on negative aspects of caregiving will allow dementia care services to develop practical interventions that focus on improving caregiver resilience and cultivating positive coping mechanisms.
The study is challenging in that it aims to recruit a large number of PWSDs from several hospitals and home care services in a short period of time. In the absence of a registry/sampling frame of PWSD, it is difficult to capture a representative population of PWSD. Given this challenge, as of yet, there has not been any past study in Singapore, or Asia, investigating EOL care for PWSD and their caregivers. Therefore, we are collaborating with all major practitioners caring for PWSD in Singapore including those in public restructured hospitals and home care teams. Results may still not be generalizable as some caregivers do not seek care from any hospital or home care team due to financial concerns and because they perceive cognitive decline to be a part of normal ageing process [33].
Due to stigma related to dementia [70], the study also posed some ethical challenges. To reduce these challenges, we are conducting all interviews in privacy at caregivers’ homes. All interviews are scheduled based on caregiver’s convenience after discussing with them over phone. Caregivers are assured that their data will be kept confidential. Caregivers engage with the same interviewer, when possible, for all follow-up interviews. Interviewers are also trained by the research team to avoid the use of any stigmatizing language. Lastly, attrition (for reasons other than the death of PWSDs) may be a problem. We will try to minimize this through appropriate financial incentives and scheduling interviews at a time and place convenient for caregivers. Data collection for this study was initiated in May 2018. To date, we have recruited 150 caregivers. We expect to attain our target sample size by October 2020 and follow-up assessments to continue for two years.
In summary, the information from this first-of-its-kind longitudinal study will not only help facilitate a deeper understanding of the most critical issues facing community-dwelling PWSD and their families, but will allow for the formulation of programs and policy solutions to effectively address these issues which have thus far received limited attention. The recommendations that will ultimately be generated from the study results will recognize the diversity of PWSD as well as caregiver experiences and preferences likely to occur at the EOL. With that, an appropriate care delivery system can be built to embrace those differences and provide a customized and affordable EOL experience that respects the autonomy of both PWSDs and caregivers.
Footnotes
ACKNOWLEDGMENTS
We would like to thank the team involved at each site for their assistance in the recruitment and screening of study participants, and our team of data collectors (Lien Centre for Palliative Care) for their contributions to the study. The study is funded by Health Services Research Grant (HSRGEoL16Dec002), Ministry of Health, Singapore.
