Differences Between City and Countryside Elderly in Long-Term Care Services and Needs at Home in China

We used data from the 2014 of the Chinese Longitudinal Healthy Longevity Survey (CLHLS) conducted by the Healthy Ageing and Development Research Center at Peking University, Beijing, China. The CLHLS was a high-quality, nationally representative survey on Chinese residents aged 65 years and above, with face-to-face interviews in respondents’ homes. It provided a large body of information on socioeconomic and demographic characteristics, health-related behaviors and lifestyles and LTC status. Besides, it included information on the care needs of the population with functional limitations as well as self-reported unmet LTC needs. We analyzed the status, needs and influencing factors of LTC for the elderly (Table 1, Table 2, Table 3, Table 4, Table 5 and Table 6) in 2014, and further used statistical charts (Figure 1) to see trends in the overall long-term care needs of the elderly from 1998 to 2014 (seven waves). Of all 7192 individuals in the 2014 survey, 283 cases were excluded due to living in LTC facilities (198 cases) or being less than 65 years old (85 cases); consequently, the sample consisted of 6909 home-based elderly people (3041 in urban areas, 3868 in rural areas).

In order to account for the variety of factors that may influence the LTC needs of the elderly, Andersen’s Behavioral Model of Health Services Use was adopted as the analytical framework. The Andersen model had been reported by several studies on elderly utilization of health services [26,27], health-related quality of life [28] and LTC services [29]. It showed the use of health services by predisposing (e.g., age, race, gender, marital status and education), enabling (e.g., family income, kinship network, social support network) and need components (e.g., health status, ADL). This theoretical analysis model better demonstrates the factors affecting LTC service needs of older people with different characteristics, but it is rare in the current literature. In this study, the Andersen model was used to analyze the associations of predisposing, enabling and needs variables with use of different LTC needs among the elderly.

First, we divided the sample into four groups by age cohort and residence: (1) the young-old (aged 65 to 79) in urban areas, (2) the oldest old (age 80 and over) in urban areas, (3) the young-old (aged 65 to 79) in rural areas and (4) the oldest old (age 80 and over) in rural areas [30]. Then, descriptive statistics were presented for distribution characteristics of LTC status and needs among each subgroup mentioned above based on the Andersen Theoretical Model, while a chi-squared test was performed to examine significant differences for all dependent variables among the subgroups of respondents. A chi-squared or analysis of variance (ANOVA) was also performed to test significant differences for all independent variables. In addition, we performed binary and multinomial logistic regression to examine the multivariate relationship between each LTC need variable and predisposing, enabling and need characteristics. All statistical analyses were conducted using SAS 9.3. The odds ratio and 95% confidence interval indicated the effect of each predictor and whether it met statistical significance. A value of p < 0.05 was considered statistically significant.

A total effective sample size of 6909 individuals were included in this study, from 2014. The descriptive characteristics of the study sample are shown in Table 1. The predisposing, enabling and need characteristics were assessed by age cohort and residence. Of the sample (3856 females, 54.25%), the mean age was 85.62 ± 10.47 years; more than 40% of the elderly were married (41.01%); over half of them were not educated (56.51%); 7.11% lived alone; farmers accounted for 70.36%. In terms of the enabling variables, two-thirds (65.35%) of the elderly’s income was mainly from their children; 82% of respondents reported sufficient financial support to pay for daily expenses; 72.21% of them reported that economic status was fairly comparable with other local people; 96.37% had medical insurance (medical insurance for urban and rural residents accounted for 84.84%). All predisposing and enabling factors differed significantly in age group and residence, except living arrangement and economic status compared with other local people. Regarding needs factors, slightly more than one-tenth of respondents’ ADLs were strongly limited; 44.78% reported good subjective health status; 31.14% had at least two chronic illness; 67.08% reported good subjective quality of life; more than one-fifth of the elderly reported feeling lonely or isolated sometimes (22.40%). All needs factors differed significantly in age group and residence, except feeling fearful or anxious.

Variables of LTC services status were assessed by age cohort and residence (Table 2). Nearly two-thirds of the elderly reported that they were mainly cared for by their children or grandchildren when they were sick or needed help, accounting for 67.44% and 68.49%, respectively. The majority (93.54%)of the elderly said that their primary caregivers were willing to take care of them. Additionally, 17.84% of the elderly said that the direct care cost last week was more than ¥500. Nearly 70% reported that the above-mentioned care costs were mainly paid by their children or spouses. Nearly two-fifths of the elderly reported that their primary caregivers had at least 35 h of care last week (18.53%). The proportions of the elderly to currently receive adequate medical services and treatment, were 96.05% and 71.97% respectively. In contrast, the community-based services available in the community were relatively scarce. Only one-third of the elderly reported that the community offered home visit and healthcare educational services, which accounted for 34.57% and 39.03%, respectively. Moreover, personal care, psychological consulting, and daily shopping services accounted for less than 10%. The age cohort in different residence had been found to exert an impact on all aspects of LTC status and needs to varying degrees, except for the care willingness of the primary caregiver (p < 0.05).

LTC services needs and planning variables are assessed by age cohort and residence in Table 3. It is shown that almost half (41.67%) of the elderly reported their anticipated needs for LTC services in the future. As expected, the anticipated needs differed both in age cohort and in residence; the percentage was highest for the oldest old (aged 80+), especially in rural areas (54%), followed by the oldest old in urban areas and the young-old in rural areas, and it was lowest for the young-old in urban areas. Regarding their anticipated living arrangements, more than half of older people wanted to live with their children, while less than one percent of the older people wanted to live in an LTC facility. More than 60% of the oldest old in urban or rural areas were prone to live with their children. In terms of their anticipated community-based services, approximately 79.6% of respondents planned to use home visit, followed by healthcare education (73.34%) and psychological consulting (61.65%) or social and recreational activities (60.45%). Both for the young-old and oldest old, needs of community-based services in rural areas were higher than in urban areas.

From 1998 to 2014, the overall LTC needs of the elderly decreased first and then increased, among which older people had the highest needs for bathing and toileting, the average proportions of those being 27.29% and 15.80%, respectively. Especially in 2014, the total LTC needs of the elderly were as high as 41.67%. Of the sample, the needs for bathing and toileting among the elderly increased to 35.2% and 23.9%, respectively (Figure 1).

Binary logistic regression was used to analyze factors associated with anticipated needs for LTC services. These results are presented in Table 4. A significance model of chi-squared statistics indicated that the independent variables examined reliably predict the expected LTC service needs (R² = 0.23). Compared with the young-old in rural areas, the oldest old in urban or rural areas were more likely to express the need for LTC services (OR = 1.67, 4.16 p < 0.001) and the young-old in urban areas were less likely to seek the LTC services (OR = 0.51, p < 0.001). In addition, the elderly who were unmarried, non-farming, with low income, with poor health, and having less autonomy had higher anticipated needs for LTC services (OR > 1, p < 0.01).

The results of the multinomial logistic regression analysis, examining correlations of anticipated future living arrangement, are shown in Table 5. The significance of the chi-squared model suggests that the independent variables reliably predict future living arrangement (R² = 0.30). Compared with the young-old in rural areas, the young-old in urban areas were more likely to choose to live alone regardless of residential distance from children (OR = 1.61, p < 0.01). Moreover, older people who were male, married, not living alone, with low income, financially supported mainly by their children, with low ADLs, and living in a poor quality of life were more likely to choose to live with their children (0.23 < OR < 1, p < 0.05).

The third dependent variable, anticipated community-based service needs, was also regressed by three sets of independent variables, as can be seen in Table 6. Compared with the young-old in urban areas, there are more young-old people in rural areas who preferred to utilize social and recreational activities and healthcare educational services (OR = 1.27–1.32, p < 0.05), and more oldest old in rural areas planned to choose personal care, psychological consulting, social and recreational activities and healthcare educational services (OR = 1.21–1.33, p < 0.05). Living alone, occupation, financial support, loneliness and depression predicted the anticipated use of personal care and home visit (OR = 1.19–1.69, p < 0.05), while educational level, living alone, occupation and feeling lonely and isolated were significantly associated with the planned use of psychological consulting and daily shopping (OR = 1.20–1.64, p < 0.05). In short, those who were older, living in rural areas, living alone, higher educational level, farming, lower income, feeling lonely and depressed had higher anticipated needs for community-based services (1 < OR < 1.69, p < 0.05).

First and foremost, the study found that nearly two-thirds of the elderly in China were mainly cared for by their children or grandchildren when they were sick or needed help, and their primary caregivers were also willing to take care of them. Similar to the results of previous literature studies [31,32], the long-term caregivers for the elderly in China were their spouses and children, but with the decline of the spouse’s physical function and increase of chronic diseases, the role of their spouses in LTC was gradually weakened. Afterward, their children became the most important caregivers in practice, which was closely related to the filial piety in Chinese traditional Confucian philosophy. Several reports [33,34] have shown that the important role grandparents play in caring for grandchildren, unlike in Western countries; some described the children coming home from abroad to care for elderly parents and still others reported that amongst older Chinese people filial piety was an expectation and to be admitted to an elder care facility would be considered ‘a disgrace’. It can be seen that the concept of Chinese traditional filial care is deeply rooted. Chinese moral values, such as virtue and filial piety, are embedded in a Confucian moral and social context that cannot be altered without distortion in spite of Western and European notions [35]. The essay gives an emphasis on the Confucian resources being taken seriously in order to develop an authentic Chinese bioethics of LTC, as well as to come up with a defensive approach on LTC for contemporary society in general and the Chinese society in particular.

This study has shown that one-fifth of the elderly said that their direct care cost last week was more than ¥500. About 70% reported that the above-mentioned care costs were mainly paid by their children or spouses. The estimated annual direct care cost per elderly person was about 500 × 4 × 12 = 24,000 yuan, which was close to the national resident per capita disposable income (25,974 yuan) announced by the National Bureau of Statistics in 2017 [36]. In addition, almost two-fifths of the elderly reported that their primary caregivers spent at least 35 h in caring last week. According to the latest data from the National Bureau of Statistics in 2017, the national average annual wage is 74,318 yuan, about 20 yuan per hour. Therefore, the annual direct cost of human care for each elderly person is about 35 × 4 × 12 × 20 = 33,600 yuan [36]. It can be seen that whether it was direct care costs or human costs, the families of the elderly in China faced enormous financial risks and they could no longer afford the costs of LTC owing to the continuous deepening of disability or dementia of the elderly in some families; ultimately, the family care could no longer be sufficient to meet the elders’ needs. The long-term care insurance system that has been successfully implemented in many developed countries needs to be implemented as soon as possible in China to cope with the growing burden of care in family care.

This study indicated that the community-based services available in community were relatively scarce in general, especially in rural areas. Among them, personal care, psychological consulting and daily shopping services accounted for less than 10%. At present, the pension funds of our national community mainly rely on the central government and local financial investment, and the economic strength of the region and the government’s financial resources caused by the urban and rural two-dimensional structure make the community pension funds in urban and rural areas unevenly invested [37]. As the needs of old people in urban and rural communities gradually become more diversified, the structure of needs is diversified and the level of needs continues to grow. The content of community pension services is gradually showing defects such as single project, low level and narrow coverage [38]. Also, the overall development level of social work professionals in our community is not compatible with the needs of community pension services and faces problems such as urban–rural differences [39].

The findings of this study suggested that the overall LTC needs of the elderly showed a rapidly rising trend from 2008 to 2014, among which are the older people with the highest needs for bathing and toileting. In accordance with the present results, previous ones have demonstrated that the overall prevalence of disability was highest in bathing (3.94%), followed by toileting (3.32%) [40]. A possible explanation behind might be that bathing is becoming a comprehensive and complex systemic movement. Similarly, the toileting also requires older people to have higher mobility, thus leading to a higher disability. In addition, the bathroom is the most vulnerable place for the elderly to fall, which will cause the elderly to lose their function again.

The most obvious finding from the analysis was that more than two-fifths of the elderly reported anticipated needs for LTC services in the future. It was found that the awareness level is relatively low in terms of LTC needs among the Chinese older adults; although 41.67 % of the respondents being reported has anticipated the LTC needs, the requested needs were still lower than what were found in a recent study made by Robison et al. (2014).The study indicated that two-thirds of the US respondents in their sample did expect the need for the LTC services [41]. This significant gap may be due to the lower awareness of LTC needs among Chinese older adults, while it could also be explained by their relatively good health status, compared to US peers. Furthermore, the most interesting finding was that there is a difference in the anticipated needs between age cohort and residence (p < 0.001). In terms of needs, the oldest elderly in rural areas had the highest percentage. The oldest elderly in urban areas and the young elderly in rural areas come in next, while the young elderly in urban areas had the lowest percentage. These results are likely to be related to the urban–rural differences in health status and healthcare system [17]. It has been shown in many previous studies that the older and rural older people are in poorer health status, which led to an increase in LTC needs [7,19]. In addition, although the healthcare system has greatly improved in rural areas, the health insurance program in rural China has not been as good (or beneficial) as the programs in urban areas. Older adults in rural areas also face obstacles in getting an ideal amount of care from family members (i.e., sons and daughters). This is a result of the increasing number of family members moving to urban areas for better education and work opportunities. As a consequence, the rural older adults get to face greater difficulties in getting adequate LTC services, compared to their urban counterparts.

By scrutinizing the descriptive results, the predisposition of variables, in line with the capabilities and needs among residence and age cohort, will be made clearer especially in understanding the results shown above. In this study, the elderly who were unmarried, with low income, with poor health and with less autonomy had higher anticipated needs for LTC services. One previous study showed a link between social support and LTC needs. Weak social support tends to generate higher LTC needs [42]. Unmarried seniors with low income have weaker family support and socio-economic support, which has led to higher long-term care needs, especially in rural areas. Additionally, in the conceptual model, there is an indicator showing the need of people with disability. In another study, it was found that people whose health are at worse or far more chronic conditions were less likely able to make some plans [43], However, with this population, there was an increase of expectations among disabled persons who are in need of the LTC services. However, this result has not previously been described. One interesting finding was that older people with less autonomy had higher anticipated needs for LTC services. The study showed that those living in private households were with worse mental health than the residents in institutional homes. It is suggested that the long-term care environment can constrain the elder’s autonomy, which leads to depression [44]. Depression may lead to a series of serious physical or mental illness, which could cause the further long-term care needs of the elderly.

As expected, regarding their anticipated living arrangements, more than half of older people wanted to live with their children, while less than one percent of older people wanted to live in an LTC facility. More than 60% of the oldest old in urban or rural areas tended to live with their children. Similar to the findings reported by Robison et al. (2014) [41], the results revealed that there is a greater preference for ageing in place among Chinese older adults, which shows similar results with another study indicating that almost three-quarters of the elderly in Hong Kong agreed or strongly agreed that ‘receiving care at home is better than that at residential facilities’ [20]. Although there is an increasing possibility for older adults with chronic disabilities to age in the community rather than in institutional settings, the supportive living arrangements must be provided in advance. Home modification is therefore needed for safety purposes at home or for creating a wheelchair pathway. Unlike the aging process or a life-long intellectual disability, neither of which can be reversed, the physical environment can be modified to ameliorate the negative impacts of both aging and disability. More modifications were made in the bathroom than in any other areas of the home [45]. Changes may include adding grab bars and replacing towel racks with these bars to prevent further accidents among the elderly, adding non-slip mats on the bathroom floor, installing anti-scald devices on faucets with adjustable height, hand-held showerheads, improving lighting in the shower and lowering medicine cabinets that were out of reach.

The results of this study indicate that the young-old in urban areas were more likely to choose to live alone regardless of residential distance from children compared with the young-old in rural areas. On the one hand, the health status of young urban residents may be better than that of rural peers. They often have a high level of education and income and the ability to receive new things [46]. Moreover, choosing to live alone in the case of perfect physical function can reduce the burden of care on children. On the other hand, this also shows that the living arrangements of rural elderly are particularly ingrained by the influence of traditional Chinese filial piety culture [47]. In addition, reliance on family support for care needs is likely not able to diminish, and older people who were married, not living alone, with low-income, getting financial support mainly provided by children, with low ADLs and living in a poor quality of life may in reality choose to live with their adult children more often. Many predisposing, capabilities, and needs factors previously identified in the literature as correlates of LTC planning indicate the findings within expectation, whereas others do not. These results are in accordance with recent studies indicating that the more sophisticated the family care support system that older people receive, the more likely they prefer to choose to live with their children. For example, the elderly in this study are married, not living alone, getting financial support for children, etc. However, this finding is contrary to previous studies which have suggested that the elderly with low ADLs and living in poor quality of life were more likely to choose living LTC facilities [7]. This study found that the worse the physical condition of the elderly, the more they choose to live with their children. The reason may be related to the sample of this study, which was taken from a national sample in 2014. At that time, the number of institutions in China was low and the quality of service was not perfect. The elderly still had a large misunderstanding of institutional care. Therefore, at present, the proportion of elderly people who choose institutions in this study is likely to be underestimated.

In terms of anticipated community-based services, a variety of these were supported by the respondents in this study, with a home visit, healthcare education and psychological consulting being the most needed, especially in rural areas. The young-old almost in all categories represented higher needs than the oldest elderly. A recent study from Hong Kong also confirmed that the young-old cohort in China was associated with higher educational levels and better financial literacy; more savings, income and assets; and higher social class compared with oldest elderly. All of these factors may raise their expectations for future LTC service needs while financially enabling them to handle various aspects of these services as well [20]. Additionally, fragmented health insurance schemes are inextricably linked to the existing gaps between urban and rural areas like in the difference of benefits and reimbursement levels, causing inequitable healthcare utilization and health outcomes. Evidence also shows that the current health insurance schemes have failed to reduce the inequality existing in the income of the elderly patients, who are also in great need of LTC services whether they are in urban or rural areas. In the previous studies, it was argued that the association between unmet need and social deprivation strengthens at higher levels. Therefore, the elderly in the rural areas face a higher risk of experiencing a shortage for caregivers because of the heavy outmigration of adults and a larger increase in the older aged population compared to the urban group [6], which to some extent further exacerbates the disparities of the LTC needs between rural and urban areas.

This study found that the young-old in urban areas were more willing to utilize social and recreational activities and healthcare educational services; the oldest old in rural areas planned to choose personal care and psychological consulting in addition to the above two, compared with the young-old in urban areas. On one hand, caregivers are facing increasing needs to carry out complex daily social, healthcare, education and personal care and also to take on nursing tasks and household chores for their families with chronic illnesses and disabilities. Traditional family informal care is far from meeting the multi-level care needs of the current elderly, and there is a strong need for formal community home care services [10]. On the other hand, the young-old in rural areas are mostly empty nesters, with a strong sense of loneliness, and may have higher needs for multi-level LTC services, which in turn has created a high needs for personal care and counseling [23]. Furthermore, we found that the elderly who were older, living in rural areas, living alone, of higher educational level, farming, with lower income, lonely and depressed had higher anticipated needs for community-based services. Consistent with the results from the USA (Black, Reynolds and Osman 2008), higher educational levels of elderly led to greater needs in using community-based services [43]. The elderly’s level of limitation in ADL and feeling lonely and depressed were the most distinguishing characteristics for identifying older adults who failed to take up their referred community-based services [48]. First, the objective reason may be that older people with poor health are more willing to accept LTC services. Secondly, the elderly with a higher educational level are more comprehensive in their knowledge of health care and rehabilitation, as well as willing to try and accept relatively innovative care services, subjectively.

However, there are several limitations existing in this study. First, the data in our study came from a cross-sectional survey and this confined the interpretation of our results, making it hard to draw causal conclusions. It is recognized that longitudinal data are needed to further explore the causal and temporal relations between the factors examined and LTC needs. Second, due to the limitation of data, this study lacks research on the needs for long-term care insurance for the elderly. In the future, we will supplement the long-term care insurance arrangement for the elderly as an important research content.