Literature DB >> 35395748

The impact of having foreign domestic workers on informal caregivers of persons with dementia - findings from a multi-method research in Singapore.

Qi Yuan1, Yunjue Zhang2, Ellaisha Samari2, Anitha Jeyagurunathan2, Gregory Tee Hng Tan3, Fiona Devi2, Peizhi Wang2, Harish Magadi4, Richard Goveas4, Li Ling Ng5, Mythily Subramaniam2.   

Abstract

BACKGROUND: Informal caregivers of persons with dementia (PWDs) sometimes engage foreign domestic workers (FDWs) to support their caregiving journey. However, there has not been much research to establish if this is really beneficial. The current study aims to investigate whether engaging FDWs specifically for caregiving of PWDs truly moderates caregiver stress and to explore caregivers' experiences of engaging FDWs.
METHODS: A multi-method study design with a quantitative and qualitative sub-study was adopted. For the quantitative sub-study, 282 informal caregivers of PWDs were recruited. Propensity score matching analysis was used. For the qualitative sub-study, 15 informal caregivers with FDWs were interviewed. Inductive thematic analysis was conducted.
RESULTS: The quantitative sub-study confirmed that engaging FDWs did moderate the depressive symptoms of informal dementia caregivers (marginal effect = -3.35, p = 0.0497). However, such support did not affect their caregiving burden, self-efficacy, and perceived positive aspects of caregiving. The qualitative sub-study suggested that engaging FDWs is an ambivalent experience, which entails both support and challenges.
CONCLUSIONS: The current study confirmed previous research findings, that engaging FDWs moderated depressive symptoms among caregivers of PWDs, and it could be through their physical support such as in daily caregiving activities. Policy-makers may consider providing more subsidies to caregivers caring for PWDs with mobility issues to hire FDWs. They may also consider providing training to FDWs on dementia caregiving skills and improving the intake of such training as this might be helpful for both FDWs and caregivers during this journey.
© 2022. The Author(s).

Entities:  

Keywords:  Dementia; Foreign domestic helper; Informal caregiving; Propensity score matching; Qualitative research methods

Mesh:

Year:  2022        PMID: 35395748      PMCID: PMC8993210          DOI: 10.1186/s12877-022-03002-w

Source DB:  PubMed          Journal:  BMC Geriatr        ISSN: 1471-2318            Impact factor:   3.921


Background

Dementia is a syndrome that is characterized by deterioration in memory, thinking, behavior, and the ability to perform daily activities. [1]. Such decline is usually progressive and irreversible [2, 3], and persons with dementia (PWDs) gradually lose their ability to live independently. As such, PWDs are often highly dependent on others and require significant assistance, especially during the middle and late stages of their illness [4]. Studies suggest that such care is mainly provided by family members of PWDs [5], and the informal caregiving process is often very stressful and demanding for caregivers [6, 7]. The high stress could be partly due to PWDs’ decline in cognition and function. Other possible reasons include the need for caregivers to support the personal care of PWDs, the isolation due to the long hours of caregiving, and the role conflict between being a caregiver versus responsibilities of other roles (e.g., being a parent or employee). As a result, caregivers of PWDs often report a high prevalence of depressive symptoms [8]. Home-based care is gaining more attention globally due to the much higher healthcare costs associated with institutional care [9]. However, due to societal changes including low birth rates, increasing longevity, and changing family structure, it’s getting more difficult for family members to provide such care. As a result, there is an increasing trend of hiring foreign domestic workers (FDWs) for this purpose in many places with developed economies [10]. This has been observed in Asia such as Taiwan [11] and Hong Kong [12], as well as in western societies, especially among some European countries [13-16]. In Singapore, this is a fairly common practice as previous studies have suggested that around half of the interviewed informal caregivers of PWDs reported that they had hired an FDW [2, 4, 17]. Despite the significant hiring of FDWs, less attention has been given to whether having an FDW is beneficial to caregivers of PWDs. There are some studies that have explored the impact of FDWs on the wellbeing of caregivers who take care of older adults and suggested the general positivity of such support to the informal caregivers [18, 19] and the older adults [20]. However, since the needs of older adults and PWD are quite different [21, 22], findings from studies on caregivers of older adults might not be applicable for those caring for PWDs. As such, studies are needed to address this gap. The stress process model is a widely accepted model to understand caregiver stress [23]. This model proposes that the stress process is made up of four domains including the stress from background and context, the stressors, the mediators, and the outcomes. Particularly, the mediators here mainly refer to coping and social support. According to Pearline, these mediators might not only serve to lessen the intensity of stressors but also block the contagion between the primary and secondary stressors. This model might serve as the theoretical foundation to understand the impact of FDWs on caregivers. Major responsibilities for FDWs usually include domestic duties such as house chores and taking care of PWDs’ activity, as well as basic and instrumental activities of daily living [24]. Logically, such support should be able to reduce caregivers’ physical workload, lower the frequency of caregivers facing PWDs’ memory and behavior problems, and provide certain respite which can free caregivers to carry out other responsibilities. However, like two sides to a coin, introducing FDWs into the caregiving scenario results in caregivers both facing certain new challenges and receiving support from FDWs. To our knowledge, there is a dearth of literature that describes the full picture of engaging FDWs in the informal caregiving process, and this gap cannot be solved by a purely quantitative study. Although there was an earlier qualitative study that had explored the role of the FDWs for caregivers in Singapore, it was from the perspective of viewing FDWs as a form of support or coping resource [25]. Hence, the current study aims 1) to investigate if engaging FDWs to care for PWDs would moderate caregiver stress; and 2) to explore caregivers’ experiences of engaging FDWs. A multi-method research methodology was proposed to answer these two questions. Our hypotheses for the quantitative sub-study were as follows: Informal caregivers taking care of PWDs who have engaged FDWs specifically to support caregiving would have lower depressive symptoms compared to those without FDWs; Informal caregivers with FDWs would report less caregiving burden; Informal caregivers with FDWs would have higher caregiving self-efficacy and perceived positive aspects of caregiving.

Methods

Quantitative sub-study

Participants and procedures

The quantitative sub-study is a cross-sectional survey of informal caregivers of PWDs in Singapore done from January 2017 to December 2018. The participants comprised a convenience sample of informal caregivers of PWDs who were mainly from the outpatient and satellite clinics of a tertiary psychiatric hospital in Singapore, the Institute of Mental Health, and a geriatric clinic in Changi General Hospital in Singapore. The study eligibility criteria were 1) Singapore residents (including citizens and permanent residents); 2) aged 21 years and above; 3) taking care of a patient who has been formally diagnosed with dementia; 4) and ability to communicate in either English, Mandarin or Malay. Caregivers who did not visit the PWDs every week or had difficulties in understanding the consent process were excluded. Since the main aim of this quantitative study was to explore the prevalence of depression among informal caregivers of PWD in Singapore, sample size was estimated based on the likely prevalence of depression in this sample. Based on the prevalence of 22.3% of depression from a systematic review [26], when alpha equals 0.05 and the precision is 0.05, the minimum sample size was estimated to be 267. A total of 282 informal caregivers were recruited at the end of this study, which was more than the minimum sample requirement. Data were collected via interviewer-administered questionnaires. Ethical approval for this study was obtained from the National Healthcare Group Domain Specific Review Board in Singapore (study reference number: 2016/00921). All participants provided written informed consent.

Measurements

PWDs’ cognitive impairment and functioning were reported by their caregivers. Functional dependence including activities of daily living and instrumental activities of daily living of PWDs were measured by the 6-item Activities of Daily Living Scale (ADL) [27] and the 8-item Instrumental Activities of Daily Living Scale (IADL) [28] separately. Memory and behaviour problems of PWDs were assessed by the memory (7 items) and behavior disruption (8 items) domains of the Revised Memory and Behaviour Problems Checklist (RMBPC) [29], and these two subscales were summed up as a single indicator of PWDs memory and behaviour problems. Caregiver outcomes included 1) caregiving burden measured by the 22-item Zarit Burden Interview (ZBI) [30]; 2) caregiving self-efficacy assessed with the 15-item Revised Scale for Caregiving Self-Efficacy (RSCSE) [31]; 3) positive aspects of caregiving measured by the 9-item Positive Aspects of Caregiving Scale (PAC) [32]; and 4) depressive symptoms measured by the 20-item Centre for Epidemiologic Studies Depression Scale (CES-D) [33]. In a previous study, a 3-factor structure of 17 items was confirmed suitable for ZBI among the current population [34]; therefore this factor structure was used in this study. For the other scales, please refer to previously published studies for more details on their reliability and validity among the current sample [2, 34–36]. Socio-demographic information including caregiver’s age, gender, ethnicity, education level, marital status, and monthly household income was collected. Caregiving-related variables including relationship to the PWD, and whether caregivers engaged FDWs specifically for caregiving were also collected.

Analysis

To address the limitations of the traditional regression analysis, an alternative propensity score matching analysis was used in the current study, as this is a well-known method to estimate causal relationships in observational studies [37, 38]. The logic of this analysis is that each participant would be assigned with a single summary measure (i.e., propensity score) reflecting their odds of receiving the treatment based on observed background covariates [38]. Then one can match each treated individual to a comparator with a similar value of the propensity score. The advantage of this method is that it can rule out the effects of preexisting characteristics and make the interpretation of the findings more straightforward [39]. In the current study, treatment is defined as informal caregivers engaging FDWs specifically for caregiving. The measured covariates include caregivers’ demographics (age, gender, ethnicity, education level, and marital status), socioeconomic status (monthly household income), and caregiving-related variables (caregivers’ relationship with PWD and PWDs’ functional status). Multiple matching models including 1:1 nearest matching, 2:1 optimal ratio matching, and full matching were conducted, and the model with the best matching balance was selected for further analysis. The propensity score matching procedures were conducted via R package ‘Matchit’[40]. Standardized mean difference was used to assess if the covariates are balanced after the matching process [41], and a standardized mean difference of 0.1 or below indicates a good balance [42, 43]. As this threshold is more like a rule of thumb instead of a strict cutoff [37], a standardized mean difference of 0.2 or below is also considered acceptable following other previous studies [44, 45]. Since all the caregiver outcomes were continuous, we used weighted linear regression to assess the marginal effects of the treatment condition i.e., having engaged FDWs during the caregiving process in our study. All matching variables were still included in the regression model to control for small differences remaining in the matched samples after matching [46].

Qualitative sub-study

The qualitative sub-study was a part of a larger qualitative study that was conducted between Apr 2019 to Dec 2020 to understand the caregiving experiences of local informal dementia caregivers. A convenience sampling was used to recruit the participants from the outpatient and satellite clinics of the Institute of Mental Health and a geriatric clinic in Changi General Hospital in Singapore. Additionally, the participants were also asked to refer their friends to join the study. The same inclusion and exclusion criteria as the quantitative sub-study were used except that Tamil-speaking caregivers were also included. Furthermore, caregivers of PWDs who were institutionalized in nursing homes at the point of recruitment were excluded. Data were collected via semi-structured interviews either through face-to-face conversation or via Zoom (after the outbreak of Covid-19). The final sample was determined by data saturation. In all, 29 caregivers were recruited for the parent project. Since the current study aimed to understand caregivers’ experiences of engaging FDWs in the informal caregiving process, those without FDWs were excluded. The final sample comprised 15 caregivers. This study was approved by the National Healthcare Group Domain Specific Review Board in Singapore (reference number: 2018/01069). Written informed consent was also obtained from all participants. All the interviews were audio-recorded and transcribed verbatim. The transcripts were checked by the facilitator first to ensure its consistency. The qualitative data was analyzed using the inductive thematic analysis approach [47], which allowed themes to emerge to answer the research question and enabled a low-level interpretation of the data [48]. Four random transcripts were distributed to the study team members (i.e., QY, YJZ, ES, and AJ), each independently reviewed the assigned transcript repeatedly to code meaningful data units. Then the team worked collaboratively to standardize, condense and group these data units into themes. A codebook with these themes, their definitions, inclusion and exclusion criteria, and typical examples was developed next to guide the coding process of all the remaining transcripts. This codebook was regularly refined till data saturation reached so there would be no new themes. Upon achieving a satisfactory kappa coefficient of 0.803, the remaining transcripts were distributed to the team members for independent coding. All the coding and analysis were conducted via NVivo 11 [49]. Minimal corrections such as grammar have been made to the verbatims presented in this study to ensure that proper English language is used.

Results

The mean age of the participants (n = 282) in the quantitative sub-study was 55.7 ± 11.8, with a majority of them being female (75.2%), Chinese (83.0%), and were married/divorced/widowed (72.0%). Only 31.6% of them had an education level of degree or above, and around half of the family caregivers (52.1%) had a monthly household income of below SGD 5,999 (equivalent to USD 4,386). More than half of the caregivers were daughters of the PWDs (55.3%), followed by son-caregivers (17.0%) and spouse-caregivers (15.3%). Last but not least 43.6% of the informal caregivers reported that they received support from FDWs in caregiving. For the qualitative sub-study, the average age of the participants was 55.7 ± 4.6. The majority of the participants were female (80%), Chinese (86.7%), and daughter-caregivers (73.3%). Please refer to Table 1 for the details of sample characteristics of the two sub-studies.
Table 1

Characteristics of the study sample

VariablesQuantitative sub-studyQualitative sub-study
Frequency/MeanPercentage/SDFrequency/MeanPercentage/SD
Independent/treatment variable
 Caregiver receiving support from FDWs in taking care of PWDs
  Yes12343.6--
  No15956.4--
Matching variable
 Age55.711.855.74.6
 Gender
  Male7024.8320
  Female21275.21280
 Ethnicity
  Chinese23483.01386.7
  Malay2910.316.7
  Indian & others196.716.7
 Education level
  Secondary or below (include N/O level)12042.6--
  A level, polytechnic, and other diploma7325.9--
  Degree or above8931.6--
 Marital status
  Single7928.0--
  Married, divorced & widowed20372.0--
 Monthly household income
   < SGD5,99914752.1--
  SGD6,000 or above8931.6--
  NA/DK4616.3--
 Relationship to the PWD
  Spouse4315.3--
  Son4817.0320
  Daughter15655.31173.3
  Others3512.416.7
 No. of PWD’s ADL2.41.9--
 No. of PWD’s IADL5.91.9--
 PWD’s memory and behaviour problems6.93.1--
Outcome variables
 CESD14.311.0--
 ZBI (17 items)23.613.4--
  impact on caregiver’s life12.47.5--
  uncertainty over future4.52.8--
  frustration6.74.9--
 RSCSE—Obtain respite65.929.0--
 RSCSE—Responding to disruptive behavior65.224.0--
 RSCSE—Controlling upsetting thoughts67.720.9--
 Positive aspects of caregiving35.46.6--

SD standard deviation

Characteristics of the study sample SD standard deviation Table 2 shows the standardized mean differences of the covariates before and after the matching. Both model 1 and model 2 failed to meet our pre-defined criteria as the standardized mean differences of multiple covariates (e.g., ADL and IADL) were much higher than 0.2 after these two matching methods. For model 3 – full matching, the standardized mean differences of most covariates were below 0.1, with the standardized mean differences of only two variables which were slightly higher than 0.1 but still below 0.2, indicating adequate balance. In this case, the matched sample from model 3 was selected for further analysis. Since full matching utilized all the observations in the sample, none of the units were discarded.
Table 2

Standardized mean difference of controlled covariates before and after matching

VariablesPre-matched dataModel 1Model 2Model 3
Std. Mean DiffStd. Mean DiffStd. Mean DiffStd. Mean Diff
Age-0.016-0.031-0.030-0.049
Gender
 Male0.0800.0920.0460.093
 Female-0.080-0.092-0.046-0.093
Ethnicity
 Chinese-0.0760.021-0.115-0.081
 Malay0.017-0.0530.0660.044
 Indian & others0.0900.0300.0890.066
Education level
 Secondary or below (include N/O level)-0.128-0.167-0.117-0.115
 A level, polytechnic, and other diploma0.2510.1910.2170.091
 Degree or above-0.122-0.018-0.0990.030
Marital status
 Single0.1110.0530.0880.032
 Married, divorced & widowed-0.111-0.053-0.088-0.032
Monthly household income
  < SGD5,999-0.003-0.0160.0490.075
 SGD6,000 or above0.0360.069-0.009-0.007
 NA/DK-0.042-0.068-0.056-0.094
Relationship to the PWD
 Spouse-0.270-0.212-0.198-0.042
 Son0.0760.0210.0520.044
 Daughter-0.0010.0000.0000.034
 Others0.1490.1580.113-0.057
No. of PWD’s ADL0.7160.4820.550-0.076
No. of PWD’s IADL1.1880.4950.963-0.114
PWD’s memory and behaviour problems-0.189-0.150-0.185-0.033

Model 1 = 1:1 nearest matching, model = 2:1 optimal matching, and model 3 = full matching

Standardized mean difference of controlled covariates before and after matching Model 1 = 1:1 nearest matching, model = 2:1 optimal matching, and model 3 = full matching Table 3 presents the marginal effects of regression analysis for caregivers’ outcomes if they had engaged FDWs specifically for caregiving using the weights generated from the full matching. After matching, support received from FDWs was associated with lower depression symptom scores of local informal dementia caregivers (marginal effect = -3.35, p = 0.0497). However, such support didn’t affect caregivers’ caregiving burden, self-efficacy, and perceived positive aspects of caregiving.
Table 3

Effects of receiving support for FDWs on caregivers’ outcomes after full matching

Marginal effectSEt-valuep
CESD-3.351.70-1.970.0497
ZBI (17 items)-0.911.65-0.550.583
 impact on caregiver’s life-0.720.93-0.780.439
 uncertainty over future0.490.361.350.178
 frustration-0.680.59-1.160.246
RSCSE
 Obtain respite-1.583.63-0.430.664
 Responding to disruptive behavior1.163.640.320.750
 Controlling upsetting thoughts-0.043.45-0.010.990
Positive aspects of caregiving-0.430.81-0.530.594

all analyses match on and adjust for all matching variables, SE standard error

Effects of receiving support for FDWs on caregivers’ outcomes after full matching all analyses match on and adjust for all matching variables, SE standard error Two major themes were identified from the qualitative sub-study, including support received by caregivers from FDWs and challenges related to FDWs encountered by caregivers. Two categories of support from FDWs were reported by informal caregivers: 1) support on daily caregiving tasks, and 2) emotional support. For challenges related to FDWs, the categories were: 1) challenges in finding and maintaining suitable FDWs; 2) FDWs’ lack of caregiving skills and proper attitudes; 3) training of FDWs; 4) challenges in managing the FDWs; 5) dependence on FDWs; and 6) dealing with FDWs’ personal issues.

Support from FDWs

The support from FDWs was mainly on the daily caregiving tasks such as taking care of PWDs’ activities of daily living including bathing, dressing, toileting, transfer, continence, and feeding. Such support was more prominent if the PWD was immobile. ‘Transferring is a difficult thing because she’s (PWD) totally on us. Because she cannot control herself, and her neck and everything. Luckily my helper was very, very well trained that she can lift her onto the bed independently and then we have to quickly use the hair dryer and dry her hair (PWD) you know, because her whole body is wet.’ – p05 Other than physical support, caregivers also received emotional support from FDWs, and such emotional support, though much rarer, was helpful for the caregiving process as well. ‘But my helper is good because she said that if your father knows that he has dementia, he will not behave in this manner. It’s because he doesn’t know, this is dementia she said. And she’s the one who taught us how to manage our temper.’–- P01

Challenges related to FDWs

Informal caregivers also encountered a lot of challenges in employing FDWs. The challenges could start from the process of finding suitable FDWs as the caregiving needs of different PWDs differ. ‘But prior to that we had changed a few helpers because some of them […] they know that she is having dementia so they (FDWs) try to wriggle their way out with things that they want. So, when I discovered I was very angry. Then some (helpers were) a little bit more timid … then she (PWD) bullied people, she tried to hit people. And then some it’s like… just the chemistry is not there and my mum (PWD) just refused to respond.’ – p04 Even if they were able to find a suitable FDW, another challenge expressed was in maintaining that FDW as there might be unforeseen circumstances. ‘…This is the third helper we have […] the first one (helper) … her mother passed away, so she went back. My mom also was saying ‘maybe she won’t come back, so let her go and settle her things’. At first, she (FDW) said she wanted to stay and come back. But in the end, she decided she won’t. So, we said ‘ok, it’s fine.’ Then we had to move on…’ -p09 At times, caregivers had to accept the FDWs available due to urgency as opposed to finding one who was well trained and more appropriate. But this lead to problems such as the FDWs not fitting caregivers’ expectations or FDWs lack of caregiving skills and proper attitudes, and caregivers need to train them. ‘…that was very stressful […] I have to go to the office in the morning and then the doctor come around 8 o’clock, 9 o’clock […] so I have to catch the doctor to speak to him on what happened. Because the patient cannot communicate and the doctor also want to talk to me. It’s not possible to talk to my helper because she cannot convey the message and so it was a very difficult time that lasted the whole year. ‘-p05 ‘For helpers, you want them to be happy and comfortable, but you also need to train and dementia is not easy to train you know. A lot of times people think they know dementia. But moderate level dementia is another thing because if they totally cannot talk and all that it’s one way of taking care. But my mom will still like to give orders. So, my helper has to figure out who to listen to and how […]. So, it was a headache, that part.’-p09 Caregivers also encountered difficulties in managing the FDWs, for instance, when FDWs were less cooperative on the caregiving tasks. ‘Sometimes I did scold my helper you know. Because she (FDW) kept on repeating the same mistake. I told her that it shouldn’t be like that but she would still repeat […] facing the dementia patient is already very stressful. Now facing another helper that don’t coordinate with you … stubborn… careless, you know. So it’s like I have burden plus burden …’ -p22 However, caregivers’ reliance on FDWs’ support could create problems as caregivers may become too dependent on FDWs and be less capable of dealing with caregiving issues when FDWs are not around. A typical example is when the FDWs took leave, caregivers were unable to cope. They tend to look for alternative ways to ease the caregiving process and might need additional respite support. ‘It was quite challenging because my helper has the day-off, sometimes once a month or twice a month. So, when she is off, we don’t cook. I will go and buy lunch and then buy dinner […] If one day my helper wants to go back or she wants to go back for home leave, then I think we need some physical support. Yah…otherwise, I would have to take leave or I would have to find respite care for my mum.’ – p03 Last but not least, other than the caregiving-related difficulties related to PWDs, informal caregivers who choose to engage FDWs might also need to deal with FDWs’ personal or health issues. ‘[…] after the first 2 years they (FDWs) have to go for medical examination right, the chest X-ray, my helper also. Her x-ray showed that there was a shadow in her lungs. Then the X-ray clinic called us to come back again [...] The result went back to her GP, and her GP said she had to go for a scan […]. The scan showed that she had a growth … mediastinal mass in her lungs […] and the growth was quite big […] she is a good helper and now she is sick, then I have to be her caregiver right, I mean that’s only fair. So, I told her, ‘Ok, I will find a surgeon here in Singapore to do it and I will settle my mom’ […] I don’t know why I never go into depression […]’ – p05

Discussion

It has been well established that caring for PWDs is stressful for informal caregivers, and this study highlights how engaging FDWs affects the caregiving journey. FDWs do provide support and practical assistance to caregivers, mainly through supporting daily caregiving tasks. Such support could moderate the depressive symptoms of caregivers. However, engaging FDWs is not without challenges, a theme that is unlike a previous study that purely focused on the positive impact of having FDWs [25]. Instead, it was an ambivalent experience which consisted of both positive and negative experiences. Previous studies have suggested similar ambivalent experiences between care recipients and caregivers [50], and between FDWs with care recipients (i.e. older adults) and employers (i.e., informal caregivers) [51, 52]. Our findings expand this ambivalent relationship, to informal caregivers of PWDs and their FDWs. As such, it might be inappropriate to view FDWs purely as a type of social support. This is different from studies that have examined the role of FDWs taking care of frail elderlies [19, 24]. Moreover, since this experience is mixed, it is possible that challenges related to FDWs might offset the support received by informal caregivers of PWDs. For future studies, researchers should treat FDWs both as a stressor and support, and to explore if one might affect the other to better understand their role in the stress process. Findings from the quantitative sub-study suggested that engaging FDWs only moderated caregivers’ depressive symptoms, and it failed to improve the caregiving-related outcomes including caregiving burden, caregiving self-efficacy, and perceived positive aspects of caregiving. However, the qualitative sub-study suggested that FDWs do provide physical support such as assisting in daily caregiving activities or emotional support, similar to what was reported in previous studies [18, 25]. This is an interesting finding because intuitively, the direct impact of support from FDWs should be more on caregiving-related outcomes. There are several possible explanations for such a phenomenon. Firstly, unlike taking care of frail elderlies which mainly focus on the physical needs [24], a more typical problem for taking care of PWDs is that the caregivers need to deal with their memory and behavior problems and this was the single most important contributor to caregiving burden according to our previous study [34]. Engaging FDWs might reduce caregivers’ instances of facing such problems as the workload is shared by FDWs. However, this would not improve PWDs’ condition since dementia and its impact on PWDs is progressive and irreversible [2, 3]. Plausibly, for some of the more complex decisions besides assisting with ADLs, FDWs would still need to approach the primary caregiver for decisions. In other words, the decision-making responsibilities and the emotional burden still falls on the caregivers. As such the pressure faced by caregivers may not be reduced through engaging FDWs. Moreover, when FDWs get stressed or have burnout, caregivers would face dual stressors which might increase their perceived burden as they need to take care of both the PWDs and the stressed FDWs. Secondly, compared to caregiving-related outcomes, depressive symptoms are much more general and could be affected by stressors that are not caregiving specific. Though support from FDWs might not affect the mental stresses faced by caregivers, their support could be helpful for other stressors. For example, house chores—with the support from FDWs, caregivers can spend the time and energy which they had to spend on house chores previously on fulfilling other personal roles or responsibilities or even resting and this is very helpful for caregivers. Thirdly, the previous two explanations were both based on the assumptions that FDWs were cooperative and supportive, but these assumptions are not necessarily true at all times. When FDWs are not cooperative or supportive, indubitably, caregivers would face even more stress. For self-efficacy, the insignificance might be partly due to the wording of the questionnaire, as in the questionnaire respondents were asked to rate ‘how confident they are in finding a friend or family member’ in assisting them for various tasks. It’s possible some caregivers who did not treat FDW as their friend might not rate their confidence highly in this aspect [35]. Although support from FDWs may reduce caregivers’ frequency of facing the behavioral problems of PWDs, it will not improve their skills or abilities in managing these problems. As such, they may still lack the confidence of handling these problems. From this perspective, training caregivers on how to manage the behavioral problems of PWDs and how to manage upsetting thoughts would still be very helpful. Last but not the least, previous studies suggested that self-efficacy accounts for a significant proportion of PAC [53], and this might explain why engaging FDWs failed to improve the PAC of caregivers. Nevertheless, these are assumptions based on findings from our current multi-method study and previous studies; further research is needed to test these assumptions. Findings from this study have practical implications. First of all, this study suggested that engaging FDWs is associated with a reduction of depressive symptoms among caregivers of PWDs. This might be particularly true if PWDs have mobility issues. As such, policymakers may consider providing more subsidies to families that are caring for immobile PWDs. Secondly, considering the global trend of home care for elderly [9, 54] (including Singapore [55, 56]), the policymakers should look into the needs of informal caregivers, regardless of those with or without FDWs as both groups require additional support just that the needs vary. Lastly, our study highlights the importance of providing training to FDWs on topics such as dementia-specific caregiving skills or language skills [24] and improving the intake rate of such training. This will benefit the FDWs as they will become more capable of handling the daily caregiving difficulties and as a result improve the caregiving journey for both FDWs and caregivers. The current study has two major strengths. First of all, it is the first multi-method study that explored how engaging FDWs might affect caregivers of PWDs. Both quantitative and qualitative data were collected and presented. As a result, more comprehensive information was generated on this topic [57]. Secondly, it is also the first study to adopt a propensity score matching analysis strategy to test FDWs’ impact on caregivers of PWDs. The advantage of this methodology is that it tries to replicate a randomized experiment as closely as possible through obtaining treated and control groups with similar covariate distributions from observational data, therefore it is one of the most reliable methods for causal relationship inference among cross-sectional studies [58]. Therefore, the results are much more reliable compared to those from the traditional regression analysis strategies. However, the following limitations must be kept in mind. Firstly, this study was conducted among informal dementia caregivers in Singapore and the participants were all self-selected, this might affect the generalizability of the study findings. Secondly, since data of both the quantitative and qualitative sub-studies were collected via interviews, social desirability bias might exist [59]. Lastly, our quantitative sub-study only had 282 participants which is considered to be a relatively small sample for propensity score matching. However, according to simulation studies, propensity score matching can still yield an accurate estimation of treatment effects even in small samples [60].

Conclusion

Through a multi-method research design, the current study confirmed that FDWs could moderate the depressive symptoms among caregivers of PWDs mainly through providing physical support such as in daily caregiving tasks. This justifies the engagement of FDWs among caregivers to deal with their stress. Policy-makers might consider providing more subsidies to caregivers taking care of PWDs with mobility issues to hire FDWs. We also found that engaging FDWs was an ambivalent experience for caregivers which entailed both support and challenges. Service providers should consider training FDWs on topics such as dementia-specific caregiving skills or language skills as well as improving the intake rates of such training among FDWs, as this might improve the caregiving journey for both FDWs and caregivers.
  47 in total

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Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  2015-08-21       Impact factor: 4.077

2.  Using full matching to estimate causal effects in nonexperimental studies: examining the relationship between adolescent marijuana use and adult outcomes.

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Journal:  Dement Geriatr Cogn Disord       Date:  2011-01-20       Impact factor: 2.959

7.  Caregiving burden in foreign domestic workers caring for frail older adults in Singapore.

Authors:  Ngoc Huong Lien Ha; Mei Sian Chong; Robin Wai Munn Choo; Wai Jia Tam; Philip Lin Kiat Yap
Journal:  Int Psychogeriatr       Date:  2018-03-21       Impact factor: 3.878

Review 8.  Prevalence of Mental Health Disorders Among Caregivers of Patients With Alzheimer Disease.

Authors:  Adnaan Bin Sallim; Andrew Arjun Sayampanathan; Amit Cuttilan; Roger Ho
Journal:  J Am Med Dir Assoc       Date:  2015-12       Impact factor: 4.669

9.  A tutorial on propensity score estimation for multiple treatments using generalized boosted models.

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