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Do older adults with multimorbidity prefer institutional care than those without multimorbidity? The role of functional limitation

BMC Geriatrics volume 22, Article number: 126 (2022) Cite this article

Abstract

Background

Population ageing and social transformation present tremendous challenges to the informal support system of older adults, which engendered institutional care in China. This study aimed to examine the association between multimorbidity and institutional care willingness, and investigate whether there is an interaction effects between multimorbidity and functional limitations on institutional care willingness among Chinese older adults.

Methods

Data were obtained from the sixth National Health Service Survey of Shandong province, China. The sample included 8583 older adults (age ≥ 60 years; 51.7% women), 44.8% without chronic diseases, 34.8% and 20.4% with one chronic condition and multimorbidity, respectively. Multivariable logistic regression models and marginal effects analysis were used to the interaction effects analysis.

Results

A total of 666 (7.8%) participants had institutional care willingness in Shandong, China. Participants with multimorbidity were more likely to have institutional care willingness than their peers without chronic condition (OR = 1.25, 95% CI = 1.06, 1.55) after adjusted for confounders. Marginal effect analysis showed that under the condition that other variables remain unchanged, the probability of them with multimorbidity choosing institutional care for older adults with functional limitations was 6.9% lower than those without multimorbidity (95% CI = -0.128, -0.010, P = 0.023). The interaction effect between chronic health conditions and functional limitation for older adults to choose institutional care was statistically significant, and the average interaction effect was 4.83% (Z = -2.70, \({S}_{\overline{x} }\) = 0.0189, P < 0.05).

Conclusions

This relationship between multimorbidity and institutional care willingness varied by functional limitations. To better meet the care needs among older adults with multimorbidity and functional limitations, more resources and incentives should be provided to encourage the building-up of eldercare institutions. The governments should also establish long-term care system and to provide better home-based care for older adults, as older adults who prefer home care remain the majority.

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Introduction

China has the largest aging population and it grows fastest in the world, stepping into an ultra-aging society. According to The Seventh National Census in 2020, the population aged 60 years and above was 264.02 million, accounting for 18.7% of the total population [1]. It is estimated that aging population will exceed 400 million by 2041 in China [2]. This burgeoning aging population reduced the supply of labor force and increased the burden of family care, posing an unprecedented challenge to the development of long-term care system. Eldercare in China relies heavily on informal care provided by family members due to filial piety [3]. Being filial and respectful to the older adults has been a traditional virtue of the Chinese nation. Filial piety is the core of Confucianism that emphasizes adult children’s respect and care for their parents [4]. However, the shrinking younger generation and the booming aging population are intensifying the pressure on family-based care [5]. This increasing elderly dependency ratio have engendered new ways of social care outside traditional informal care to cope with the consequent surge in demand for eldercare [6].

Institutional eldercare is one of the formal long-term social care service in which social institutions are usually provides their care [7]. Compared with home-based care, institutional care is more conducive to taking advantage of its scale effect and providing professional medical care and nursing services for older adults, especially those with poor health status [8, 9]. Professional eldercare institutions are playing an indispensable role in the long-term care system [10]. Institutional care willingness is defined as the attitude and preference of older adults towards institutional eldercare [11]. It has been demonstrated to be one of the most significant factors that the government should consider when allocating care resources for older adults [12, 13]. Clarifying factors affecting the willingness to receive institutional care is critical to the construction and development of future social care system.

Recently, gerontology research concerning chronic conditions has shifted from single disease type to multimorbidity that was defined as the co-occurrence of at least two chronic diseases [14,15,16]. It was estimated that 46% of older adults in China are suffering from multimorbidity [17]. Compared with older adults with a single disease, those with multimorbidity are considered to have poorer quality of life, more health service utilization and higher risk of mortality, imposing a heavy economic burden on healthcare system [14, 18]. Most available studies about the correlation between chronic diseases and institutional care willingness have focused on whether older adults suffered from chronic diseases(yes/no), rather than multimorbidity (multi-category). Some Chinese researches on the association between chronic diseases the willingness to receive institutional care in older adults were carried out and those researchers got a positive conclusion [19]. Nihtilae et al. [20] found that chronic medical conditions raised the risk of long-term institutionalization by 50% or more. The latest few studies, however, did not support the association between the multimorbidity and institutional care willingness [21,22,23]. For example, studies in urban empty nesters and disabled older adults reported that the number of chronic diseases was not related to institutional care willingness [21,22,23]. Therefore, the relationship between chronic conditions and institutional care willingness is still unclear with controversial results among older adults in China.

Physical functioning decline is common among older adults [24]. Previous evidence have suggested that the quantity of chronic conditions closely associated with functional limitations among older adults [25, 26]. Compared with peers, older adults with functional limitations had the most urgent need for care services [27]. Previous research indicated that social care services focusing on institutional eldercare would be the preferred form of care for disabled older adults in the future [28]. Although disabled older adults have become the main target group for institutional eldercare, research results on the association between functional limitations and institutional care willingness were still controversial. Chen et al. [19] referred that older adults with functional limitations were more likely to choose institutional care in Jiangsu province, China. While another study in Beijing, the capital of China, found that non-disabled elderly also had stronger institutional care willingness [29]. Moreover, it is largely unknown whether the linkage between multimorbidity and institutional care willingness varies across different functional limitations groups.

To further explore these relationships, the aims of this study are as follows: 1) to explore the association between multimorbidity and institutional care willingness among the older adults; 2) to examine whether there is an interaction effect between multimorbidity and functional limitations on institutional care willingness. The study will highlight the degree of willingness for institutional care among people with various levels of disease burden in China, and identify whether greater attention is required to meet the needs of those living with functional limitations. We hypothesize that older adults with multimorbidity would prefer institutional care than their peers without chronic condition, and the relationship between multimorbidity and institutional care willingness varied by functional limitations.

Methods

Study design and setting

The data in this study were derived from the sixth Health Service Survey of Shandong province, China in 2018, which is included in the National Health Service Survey (NHSS). NHSS is a nationally representative survey conducted by the National Health Commission every five years since 1993 to fully understand residents’ health and health service needs in China [30]. According to Health Commission of Shandong Province in 2020, population aged 60 or older reached 21.22 million, accounting for 20.90% of the total population. A multistage cluster sampling method was used for selecting the participants. Firstly, 20 counties were randomly selected from 137 counties in Shandong province. Secondly, five townships were randomly selected from each county and two sample villages (communities) were randomly selected from each township. Thirdly, 60 or more households were investigated in each sample village. In total, 100 townships and 200 villages were selected, 12,938 households and 35,264 individuals were included.

Sample selection

Data were collected from September to October 2018 using face-to-face interviews. Well-trained investigators interviewed all members of the families using structured questionnaires. Given our focus on older adult sample, we restricted our analysis to respondents aged 60 years or older. We excluded 261 participants with dementia and 59 participants without information of institutional care willingness from the total of 8,903 older adults interviewed. Finally, 8,583 older adults were included in this study. Fig. S1 presented a flowchart of the study sample.

Measurement

Institutional care willingness

The dependent variable was the willingness to institutional care in older adults, and assessed by the question “Which way of elder care are you willing for?” If the answer was ‘institutional care’, it was coded as ‘yes’. Conversely, if older adults chose the option of ‘home-based care’ or ‘community-based care’, it was categorized as ‘no’. Willingness here implies an absolute preference for institutional care as opposed to home or community-based care.

Chronic diseases and multimorbidity

Data on multimorbidity were mainly collected by patient self-report. Older adults were considered to have chronic diseases based on any of occurrences as follows: (1) There were chronic diseases that have been clearly diagnosed by physician over the past six months, including chronic infectious diseases (such as tuberculosis, etc.) and chronic non-infectious diseases (such as coronary heart disease, hypertension, etc.); (2) Older adults had chronic diseases diagnosed by physician six months ago, and treatment measures (medication or physical therapy) were taken to control the disease within six months before the investigation. Here, the last six months refers to the time when the doctor diagnosed rather than the length of time the participant has suffered from a chronic disease. The National Health Commission prepared a NHSS Disease Classification-Code List for help, including 132 diseases classified into 20 categories. A list of 67 chronic conditions that were eligible to be included in counts was provided in Supplementary Table 1. Multimorbidity was defined as the simultaneous presence of at least two chronic diseases. A simple count of conditions was used to measure multimorbidity. We operationalized chronic health conditions as a variable with three categories based on the number of chronic diseases (no chronic condition, one chronic condition, multimorbidity).

Functional limitations

Participants were asked to answer the question about whether they have difficulty in eight self-care activities, including six activities of daily living (ADL) and two instrumental activities of daily living (IADL): a) feeding; b) dressing; c) bathing; d) going to toilet; e) transferring; f) bladder and bowel control; g) doing housework; h) managing money [31, 32]. Response options were ‘without difficulty’, ‘with difficulty but still can complete independently’, ‘with difficulty and need help’ and ‘unable to complete’. Individuals ‘with difficulty and need help’ and ‘unable to complete’ were considered to be dependent. Functional limitations were indicated by dependence in at least one IADL or ADL items. The Chinese version was used to assess the functional limitations of participants, which has been proven to have good reliability and validity [33].

Control variables

Previous evidence highlighted other relevant factors for institutional care willingness which were included as covariates in our study [34,35,36,37,38]. We divided these control variables into three categories based on the Andersen model, which was widely used in the field of medical and health services [39, 40]. 1) Predisposing variables, including gender (male, female), age, education (illiteracy, primary school, junior school, middle school or above), marital status (single, married) and employment status (employed, retired, unemployed). 2) Enabling variables, including region (urban, rural), living arrangements (alone, with others), household income in the last year (Q1, Q2, Q3 and Q4), establishment of health records (yes, no), family doctor contract service (yes, no), social activity engagement (yes, no). Economic status was estimated by household income in the last year. It was divided into four types based on quartile. Q1 was the poorest and Q4 was the richest. 3) Need variables, including need caregiving (yes, no) and body mass index (underweight, normal, overweight, obesity). Body mass index (BMI) equals body weight (kg)/height2 (m2). According to the Working Group on Obesity in China [41], appropriate cutoff points of BMI recommended for Chinese adults were as follows: underweight (< 18.5), normal (18.5–24.0), overweight (24.0–28.0) and obesity (> 28.0).

Statistical analysis

All statistical analyses were performed using Stata 14.0 (Stata Corp, College Station, TX, USA). Student’s t-tests, chi-square tests and Yate’s corrected chi-square test were used to compare the institutional care willingness across different subgroups by functional limitations. Logistic regression models were used to assess the association between multimorbidity and institutional care willingness among older adults. Model 1 included univariate analysis of independent variables and all confounding variables. In model 2, odds ratios (ORs) were shown adjusted for all predisposing, enabling and need variables. In model 3, we further included the interaction term of chronic health conditions and functional limitations. In addition, marginal effect analysis was employed to illustrate the prediction of institutional care willingness by ADL limitations and chronic health conditions. Because an interaction effect in logistic regression is a nonlinear marginal effect whose value depends on the values assumed by all model variables, we next use the computation method of Ai and Norton [42] and Norton et al. [43] to check the sign and significance of the true interaction effects across observations. The reported confidence intervals (CIs) were calculated at the 95% level. P values less than 0.05 were considered statistically significant.

Results

Characteristics of participants

Table 1 shows that of all respondents, 666 had institutional care willingness. Compared with older adults without institutional care willingness (92.2%), those with institutional care willingness (7.8%) had a lower proportion of females, younger, more education and higher rates of employment. A total of 3,842 (44.8%) were free from chronic diseases, 2,988 (34.8%) and 1,753 (20.4%) had one chronic condition and multimorbidity, respectively. More information of the participants’ characteristics was shown in Table 1.

Table 1 Descriptive statistics among older adults in Shandong, China, 2018 (N = 8583)
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Association between multimorbidity and institutional care willingness

Table 2 illustrates that the associations between different chronic health conditions and institutional care willingness among older adults in China. In Model 1, univariate analysis showed that the relationship between multimorbidity and institutional care willingness may be weakened or obscured (OR = 1.17, 95% CI: 0.95, 1.43). It is possible that including some variables with confounding effect may make other variables significant. There may be interactions between independent variables. Model 2 reveals that older adults with multimorbidity (OR = 1.25, 95% CI: 1.06, 1.55) were more likely to have institutional care willingness than their peers without chronic condition after adjusting for potential covariates.

Table 2 Association between multimorbidity and institutional care willingness among older adults in Shandong, China, 2018 (N = 8583)
Full size table

The interaction effects between multimorbidity and functional limitations on institutional care willingness

Further analysis adds the interaction term of chronic health conditions and functional limitations to explore whether the relationship between multimorbidity and institutional care willingness varied by functional limitations in Model 3. Compared with the older adults without chronic condition and functional limitations, those with both dysfunction and multimorbidity had lower institutional care willingness (OR = 0.29, 95% CI: 0.14, 0.61). As shown in Table 3, for older adults with functional limitations, the probability of them with multimorbidity choosing institutional care was 6.9% lower than those without multimorbidity. It showed that when functional limitations was different, the probability of choosing institutional care was different for older adults with different chronic disease conditions. In order to more intuitively show the marginal effect of multimorbidity in different functional limitations, it can be reflected in Fig. 1.

Table 3 The marginal effect of the interaction between multimorbidity and functional limitations on the prediction probability of institutional care willingness
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Fig. 1
figure 1

Interaction between multimorbidity and functional limitations in the prediction of institutional care willingness

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After using the Stata ‘inteff’ post-estimation command, Table 4 shows that the interaction effect between chronic health conditions and functional limitation for older adults to choose institutional care was statistically significant, and the average interaction effect was 4.83% (Z = -2.70, \({S}_{\overline{x} }\)=0.0189, P < 0.05). Figure 2 plots the interaction term in percentage points against the predicted probability (and the incorrect marginal effect). For all observations the sign of the interaction coefficient was negative, indicating that the coefficients of the significant interaction terms in logistic regressions reflect the true interaction effects reasonably well. Figure 3 reports the z-statistics for the corresponding interaction term, which is statistically significant (Z < -1.96, P < 0.05).

Table 4 Effect of chronic health conditions*functional limitation interaction variable
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Fig. 2
figure 2

Distributions of interaction effect of chronic health conditions* functional limitation variable on predicted probabilities of institutional care willingness

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Fig. 3
figure 3

z Statistics plot for interaction effect of chronic health conditions* functional limitation variable on predicted probabilities of institutional care willingness

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Discussion

To our knowledge, this is the first study to explore the role of functional limitations in the association between multimorbidity and institutional care willingness among Chinese older adults. The vast majority of older adults prefer community or home care however those with multimorbidity were slightly more likely to show institutional care willingness. While in the groups with functional limitations, older adults with multimorbidity had less institutional care willingness.

Our study found that 7.8% older adults were willing to choose institutional care. It was lower than the proportion among the rural elderly in Hunan Province (10.8%) [10] and Jiangsu Province, China (14.2%) [19]. Besides, it was much lower than that in Heilongjiang Province (45.4%) [34], and Chengdu (44.8%), the capital of Sichuan Province, China [44]. The possible reason is the domestic cultural differences. Shandong is a province deeply influenced by the Confucian filial piety culture [37]. Confucianism has a profound influence on Chinese culture, which emphasizes traditional sense of responsibility and filial piety [45]. Adult children have the responsibility to support and take care of their parents to avoid moral condemnation. Older adults also have the idea of “rearing children for old age” and prefer to spend their old age with their children at home. We also found that older adults with higher education are more likely to choose institutional care, which is consistent with previous research [27, 38]. Older adults with higher education level may be more able to accept new ideas and adapt to new environments, and the less they may be affected by traditional pension concepts.

Results from our study indicated that multimorbidity was positively associated with institutional care willingness. Older adults with multimorbidity were slightly more likely to show institutional care willingness than those without multimorbidity. This finding was consistent with previous studies on the relationship between chronic diseases and institutional care willingness[19]. The more types of chronic diseases older adults have, the higher the requirements for care [27]. As Zhang et al. [27] mentioned, traditional home-based care was often difficult to meet the care needs of the older adults with multimorbidity because their demand for eldercare services was high-level and multi-faceted. One possible reason was that eldercare institutions can provide more medical care and rehabilitation care with high technical and professional requirements, which was beneficial for the treatment of multimorbidity [46]. Another reason may be that the miniaturization of the Chinese family structure and the busy work of children weakened the intergenerational family support function [47]. Some older adults with multimorbidity may not want to pose the burden on their children. They prefer institutional care, because the staff of institution could provide prompt treatment when their disease worsens. In addition, older adults with multimorbidity can participate in a variety of leisure activities in institutions, which can help improve their mental health and recovery from chronic conditions [27].

We further revealed that the relationship between multimorbidity and institutional care willingness varied by functional limitations among older adults. For older adults without functional limitations, multimorbidity increases the possibility of institutional care willingness. However, those with the simultaneous presence of both multimorbidity and functional limitations had less institutional care willingness. Actually, previous studies have found that when older adults have ADL limitations, those with poor self-reported health status preferred home-based care instead of institutional care [48]. Several possible explanations for this finding are as follows. First, older adults with both multimorbidity and functional limitations would use much health care services, which may make them impoverished by illness and unable to afford the cost of an eldercare institution [17]. The social health insurance covered more than 95% of the Chinese population in 2013, and the average reimbursement rate was approximately 50%–70%. Nevertheless, financial hardships are still the main reason for not using health care services when necessary [49]. Second, disabled older adults may trust their families more than others due to the emotional fragility and psychological stress, and prefer adult children or relatives to take care of themselves [50,51,52]. Third, due to the unclear positioning and functions of public eldercare institutions, some of them are less likely to accept older adults with functional limitations based on cost considerations, which may make older adults lose confidence and expectation in institutional care [53]. Thus, functional limitations would decrease the possibility of institutional care willingness among older adults with multimorbidity.

These findings provided some inspiration for the rational layout of institutional care and the improvement of the eldercare system. Firstly, policymaker should ensure institutional care services meet the needs of people with multimorbidity who have functional limitations. Secondly, eldercare institutions should reassure older people and their families that they will receive a high quality institutional care, and work with people with functional limitations and their caregivers to design better services. Last but not least, due to the influence of Confucian filial piety culture, no matter how the elderly care institutions improve their services, some elderly people will still choose home-based care. Therefore, governments should establish long-term care system and to provide better home-based care for older adults.

Several limitations of this study also need to be acknowledged. First, this study was a cross-sectional study and it could only explain the association between multimorbidity and institutional care willingness instead of casual relationships. In future research, longitudinal designs can be used. Second, for the data constraints, the measurement of functional limitations in this study was suboptimal. Although six activities of daily living (ADL) should be the best choice for assessing functional limitations, we added 2 IADL items in order to capture a wider range of functional limitations. Third, institutional care willingness was a dichotomous variable because more specific information was unavailable in the questionnaire. It is more appropriate to use continuous scales instead of dichotomous variables to measure institutional care willingness. Willingness here implies an absolute preference for institutional care as opposed to home or community-based care. Finally, this study was applicable to older adults in Shandong province, China, and other populations need to be verified in future studies.

Conclusions

In summary, our study suggested the association between multimorbidity and institutional care willingness, and this relationship varied according to functional limitations. To better meet the care needs among older adults with multimorbidity and functional limitations, more resources and incentives should be provided to establish eldercare institutions. The governments should also establish long-term care system and to provide better home-based care for older adults, as older adults who prefer home care remain the majority.

Availability of data and materials

The datasets used in the current study are not publicly available due to the confidential policy but are available from the corresponding author on reasonable request.

References

  1. The Seventh Census Committee. Communiqué of the seventh national population census (No. 5). Beijing: The Seventh Census Committee; 2020. http://www.stats.gov.cn/tjsj/zxfb/202105/t20210510_1817181.html Accessed 29 Sep 2021.

    Google Scholar 

  2. Dong B, Ding Q. Aging in China: a challenge or an opportunity? J Am Med Dir Assoc. 2009;10(7):456–8.

    Article  PubMed  Google Scholar 

  3. Liu T, Sun L. An apocalyptic vision of ageing in China old age care for the largest elderly population in the world. Z Gerontol Geriatr. 2015;48(4):354–64.

    Article  PubMed  Google Scholar 

  4. Bedford O, Yeh KH. The history and the future of the psychology of filial piety: Chinese norms to contextualized personality construct. Front Psychol. 2019;10:100.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Shah A. Are elderly dependency ratios associated with general population suicide rates? Int J Soc Psychiatry. 2011;57(3):277–83.

    Article  PubMed  Google Scholar 

  6. Lafave D. Family support and elderly well-being in China: evidence from the China health and retirement longitudinal study. Ageing Int. 2016;42(2):1–17.

    Google Scholar 

  7. Feng Z, Zhan H, Feng X, Liu C, Sun M, Mor V. An industry in the making: the emergence of institutional elder care in urban China. J Am Geriatr Soc. 2011;59(4):738–44.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Tomiak M, Berthelot JM, Guimond E, Mustard CA. Factors associated with nursing-home entry for elders in Manitoba, Canada. J Gerontol A Biol Sci Med Sci. 2000;55(5):279–87.

    Article  Google Scholar 

  9. Li L. Actively implement the priority development policy and speed up the construction of a social pension service system adapted to age. China Social News. 2010;12:2010.

    Google Scholar 

  10. Liu Z, Yu Y, Fang L, Hu M, Zhou L, Xiao S. Willingness to receive institutional and community-based eldercare among the rural elderly in China. PLoS One. 2019;14(11):e0225314.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Xing Y, Pei R, Qu J, Wang J, Zhou H, Wang Z, et al. Urban-rural differences in factors associated with willingness to receive eldercare among the elderly: a cross-sectional survey in China. BMJ Open. 2018;8(5):e020225.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Huang X, Chen W, Chen Z, Teng B, Han Y, Fang Y. Analysis on influential factors of the preference for old-age support among elder people in urban and rural areas of Xiamen. Chin J Health Stat. 2017;34(5):729-32 35 (in Chinese).

    Google Scholar 

  13. Jang Y, Kim G, Chiriboga DA, Cho S. Willingness to use a nursing home: a study of Korean American elders. J Appl Gerontol. 2008;27(1):110–7.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Marengoni A, Angleman S, Melis R, Mangialasche F, Karp A, Garmen A, et al. Aging with multimorbidity: a systematic review of the literature. Ageing Res Rev. 2011;10(4):430–9.

    Article  PubMed  Google Scholar 

  15. Fox R, Fletcher J. Alarm symptoms in primary care. BMJ. 2007;334(7602):1013–4.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Xu X, Mishra GD, Jones M. Evidence on multimorbidity from definition to intervention: an overview of systematic reviews. Ageing Res Rev. 2017;37:53–68.

    Article  PubMed  Google Scholar 

  17. Li C, Zhou R, Yao N, Cornwell T, Wang S. Health care utilization and unmet needs in Chinese older adults with multimorbidity and functional impairment. J Am Med Dir Assoc. 2020;21(6):806–10.

    Article  CAS  PubMed  Google Scholar 

  18. Ensrud KE, Lui L-Y, Langsetmo L, Vo TN, Taylor BC, Cawthon PM, et al. Effects of mobility and multimorbidity on inpatient and postacute health care utilization. J Gerontol A Biol Sci Med Sci. 2018;73(10):1343–9.

    Article  PubMed  Google Scholar 

  19. Chen N, Li X, Yuan N, Zhou C, Wang C. Utilization willingness of institutional care between disabled and non-disabled seniors: evidence from Jiangsu, China. BMC Health Serv Res. 2019;19(1):410.

    Article  PubMed  PubMed Central  Google Scholar 

  20. Nihtilä EK, Martikainen PT, Koskinen SVP, Reunanen AR, Noro AM, Häkkinen UT. Chronic conditions and the risk of long-term institutionalization among older people. Eur J Pub Health. 2008;18(1):77–84.

    Article  Google Scholar 

  21. Xiao H. Utilization willingness of institutional care and its influencing factors among empty-nest seniors in urban Shandong. China: Shandong University; 2016.

    Google Scholar 

  22. Sang X. Study on the influencing factors of urban empty-nest institutional care for the elderly: A case study of Shenyang. China: Liaoning University; 2020.

  23. Chen N, Deng M. Influencing factors of institutional care willingness among the disabled Chinese older adults based on the anderson model. Chin J Health Stat. 2021;38(01):96–9 (in Chinese).

    Google Scholar 

  24. Wei MY, Kabeto MU, Galecki AT, Langa KM. Physical functioning decline and mortality in older adults with multimorbidity: joint modeling of longitudinal and survival data. J Gerontol A Biol Sci Med Sci. 2019;74(2):226–32.

    Article  PubMed  Google Scholar 

  25. Su P, Ding H, Zhang W, Duan G, Yang Y, Rong C. The association of multimorbidity and disability in a community-based sample of elderly aged 80 or older in Shanghai, China. BMC Geriatr. 2016;16(1):178.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Pivetta N, Marincolo J, Neri A, Aprahamian I, Yassuda M, Borim F. Multimorbidity, frailty and functional disability in octogenarians: a structural equation analysis of relationship. Arch Gerontol Geriatr. 2020;86:103931.

    Article  CAS  PubMed  Google Scholar 

  27. Zhang W, Wei M. A study on the factors associated with preferences for institutional care of the elderly in urban China: Evidences from Xicheng District of Beijing. Popul Econ. 2014;6:23–34 (in Chinese).

    Google Scholar 

  28. Luo Y, Shi W, Xiao Y. Change trends, existing problems and countermeasures of the modes of endowment for aged urban residents: based on the survey of the modes of the endowment for the aged urban residents in Xi’an. J Xi’an Jiaotong Univ (Soc Sci). 2013;33(1):78–84 (in Chinese).

    Google Scholar 

  29. Wu B, Mao Z, Xu Q. Institutional care for elders in rural China. J Aging Soc Policy. 2008;20(2):218–39.

    Article  PubMed  Google Scholar 

  30. Meng Q, Xu L, Zhang Y, Qian J, Cai M, Xin Y, et al. Trends in access to health services and financial protection in China between 2003 and 2011: a cross-sectional study. Lancet. 2012;379(9818):805–14.

    Article  PubMed  Google Scholar 

  31. Katz S, Ford A, Moskowitz R, Jackson B, Jaffe M. Studies of illness in the aged: the index of ADL: a standardized measure of biological and psychosocial function. JAMA. 1963;185(12):914–9.

    Article  CAS  PubMed  Google Scholar 

  32. Lawton M, Brody E. Assessment of older people: self-maintaining and instrumental activities of daily living. Gerontologist. 1969;9(3):179.

    Article  CAS  PubMed  Google Scholar 

  33. Chen J, Fang M, Xiao C, Ma X. Activities of daily living and depressive symptoms in the Chinese elderly. Chinese General Practice. 2020;23(22):2852-55. (in Chinese).

  34. Wang Z, Xing Y, Yan W, Sun X, Zhang X, Huang S, et al. Effects of individual, family and community factors on the willingness of institutional elder care: a cross-sectional survey of the elderly in China. BMJ Open. 2020;10(2):e032478.

    Article  PubMed  PubMed Central  Google Scholar 

  35. Xing Y, Ruijuan P, Jing Q, Juan W, Hao Z, Zhaoqing W, et al. Urban-rural differences in factors associated with willingness to receive eldercare among the elderly: a cross-sectional survey in China. BMJ Open. 2018;8(5):e020225.

    Article  PubMed  PubMed Central  Google Scholar 

  36. Nihtila E, Martikainen P. Household income and other socio-economic determinants of long-term institutional care among older adults in Finland. Popul Stud. 2007;61(3):299–314.

    Article  Google Scholar 

  37. Qian Y, Chu J, Ge D, Zhang L, Sun L, Zhou C. Gender difference in utilization willingness of institutional care among the single seniors: evidence from rural Shandong, China. Int J Equity Health. 2017;16(1):77.

    Article  PubMed  PubMed Central  Google Scholar 

  38. Qian Y, Qin W, Zhou C, Ge D, Zhang L, Sun L. Utilisation willingness for institutional care by the elderly: a comparative study of empty nesters and non-empty nesters in Shandong, China. BMJ Open. 2018;8(8):e022324.

    Article  PubMed  PubMed Central  Google Scholar 

  39. Andersen R, Newman JF. Societal and individual determinants of medical care utilization in the United States. Milbank Mem Fund Q Health Soc. 1973;51(1):95–124.

    Article  CAS  PubMed  Google Scholar 

  40. Zhou C, Ji C, Chu J, Medina A, Li C, Jiang S, et al. Non-use of health care service among empty-nest elderly in Shandong, China: a cross-sectional study. BMC Health Serv Res. 2015;15(1):294.

    Article  PubMed  PubMed Central  Google Scholar 

  41. Bei-Fan Z. Predictive values of body mass index and waist circumference for risk factors of certain related diseases in Chinese adults–study on optimal cut-off points of body mass index and waist circumference in Chinese adults. Biomed Environ Sci. 2015;11(1):S685–93.

    Google Scholar 

  42. Norton EC, Wang H, Ai CR. Computing interaction effects and standard errors in logit and probit models. Stata J. 2004;4(2):154–67.

    Article  Google Scholar 

  43. Ai CR, Norton EC. Interaction terms in logit and probit models. Econom Lett. 2003;80(1):123–9.

    Article  Google Scholar 

  44. Deng Y, Li N, Liu C, Yang W, Wu X, Wang Y. A study on the influencing factors in the choice of elderly care model. Chin J Public Health. 2003;19(6):731–2 (in Chinese).

    Google Scholar 

  45. Jiang YH. Confucian political theory in contemporary China. Annu Rev Polit Sci. 2018;21(1):155–73.

    Article  Google Scholar 

  46. Tsai HJ. Cross-sectional and longitudinal associations of functional and health status with institutional care use: results from the survey of health and living status of the elderly in Taiwan. Geriatr Gerontol Int. 2013;13(3):597–606.

    Article  PubMed  Google Scholar 

  47. Xiao Y, Chen S. Analysis on preferences for institutional care model of disabled elderly in China from the perspective of the new welfare economics. Popul Dev. 2017;23(02):92-9+1 (in Chinese).

    Google Scholar 

  48. Jiao Y. The willingness and influencing factors of the elderly in Shanghai. Chin J Gerontol. 2010;30:2816–8 (in Chinese).

    Google Scholar 

  49. Jin Y, Yuan B, Zhu W, Zhang Y, Xu L, Meng Q. The interaction effect of health insurance reimbursement and health workforce on health care-seeking behaviour in China. Int J Health Plann Manage. 2019;34(3):900–11.

    Article  PubMed  Google Scholar 

  50. Deng Y, Paul DR. The relationships between depressive symptoms, functional health status, physical activity, and the availability of recreational facilities: a rural-urban comparison in middle-aged and older Chinese adults. Int J Behav Med. 2018;25(3):322–30.

    Article  PubMed  Google Scholar 

  51. Kong D, Solomon P, Dong X. Depressive symptoms and onset of functional disability over 2 years: a prospective cohort study. J Am Geriatr Soc. 2019;67(S3):S538–44.

    Article  PubMed  Google Scholar 

  52. Zuo D, Li S, Song L. Factors affecting the old people’ s willingness to entering the elderly homes in rural China. Popul J. 2011;1:24–31.

    Google Scholar 

  53. Wang L. Analysis on the development of institutional care service in urban areas of China. Popul J. 2014;36(04):83–92 (in Chinese).

    Google Scholar 

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Acknowledgements

We thank the officials of health agencies, all participants and staffs at the study sites for their cooperation.

Funding

This work was supported by the National Science Foundation of China (grant number 71774104, 71473152, 71974117), the China Medical Board (grant number 16–257), Cheeloo Youth Scholar Grant, Shandong University (grant number IFYT1810, IFYT18032, 2012DX006) and NHC Key Laboratory of Health Economics and Policy Research (grant number NHC-HEPR2019014).

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Authors and Affiliations

  1. Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China

    Dan Zhao, Jie Li, Tingting Gao, Yi Wang, Qiong Wang & Chengchao Zhou

  2. Shandong Health Commission Medical Management Service Center, Jinan, 250012, China

    Jingjie Sun

  3. NHC Key Lab of Health Economics and Policy Research, Shandong University, 250012, Jinan, China

    Chengchao Zhou

Authors
  1. Dan Zhao
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  2. Jie Li
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  3. Tingting Gao
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  4. Jingjie Sun
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  5. Yi Wang
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  6. Qiong Wang
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  7. Chengchao Zhou
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Contributions

Study concept and design: Chengchao Zhou. Acquisition of data: Dan Zhao, Jingjie Sun and Qiong Wang. Analysis and interpretation of data: Yi Wang. Drafting of the manuscript: Dan Zhao. Critical revision of the manuscript for important intellectual content: Chengchao Zhou, Jie Li and Tingting Gao. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Chengchao Zhou.

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Ethics approval and consent to participate

This study protoco was approved and organized by Health Commission of Shandong Province. This study was reviewed and approved by the Institutional Review Board (Academic Research Ethics Committee) of Shandong University School of Public Health. All procedures were in accordance with the ethical standards of the Helsinki Declaration. Written informed consents clarifying the study purposes were obtained from each participant.

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The authors declare that they have no competing interests.

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Zhao, D., Li, J., Gao, T. et al. Do older adults with multimorbidity prefer institutional care than those without multimorbidity? The role of functional limitation. BMC Geriatr 22, 126 (2022). https://doi.org/10.1186/s12877-022-02812-2

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Keywords

BMC Geriatrics

ISSN: 1471-2318

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