Factors Associated with Willingness to Choose the Way for Old-Age Care: A Population-Based Cross-sectional Study in Chongqing, China

Factors influencing senior care and living preferences among older adults in Jiangsu, China: a cross-sectional survey study

BACKGROUND

As the population ages, senior care for older adults in China has become increasingly important and has attracted the attention of both government and society. This study aimed to explore preferences and influencing factors related to senior care among older Chinese adults and thus propose effective and targeted strategies for the development of a comprehensive care system for older adults in the aging Chinese population.

METHODS

Data were obtained from a cross-sectional survey conducted in sixteen communities or villages in Jiangsu Province, China, from July to September 2021. Guided by the Andersen Behavioral Model, multivariate logistic regression was conducted to identify factors associated with preferences for senior care arrangements.

RESULTS

A total of 870 respondents were included in the study, 60.11% of whom preferred receiving care in their own homes, while only 13.68% chose residential care facilities (RCFs). For predisposing factors, rural respondents preferred receiving care in their own homes compared to urban respondents (children's home: OR = 0.55, P < 0.01; RCF: OR = 0.58, P < 0.01). Concerning enabling factors, respondents who were not employed (OR = 2.30, P < 0.01) and those without financial support (OR = 2.73, P < 0.05) preferred RCFs to their own homes. Respondents receiving life assistance (sometimes: OR = 2.76, P < 0.001; regularly: OR = 2.57, P < 0.01; every day: OR = 3.57, P < 0.001) preferred their children's homes to their own homes. In terms of need factors, respondents with noncommunicable diseases (NCDs, OR > 1, P < 0.05), those who knew about RCFs (some: OR = 0.53, P < 0.005; no: OR = 0.10, P < 0.001) and those with a good impression of RCFs (fair: OR = 3.72, P < 0.05; good: OR = 11.91, P < 0.001) preferred receiving care in RCFs compared to their counterparts.

CONCLUSIONS

Older Chinese adults' senior care preferences were affected by predisposing factors, enabling factors, and need factors. Policy-makers should consider targeted measures to identify more precise senior care services and thus address aging challenges in China.

Does the community service environment affect the willingness of older adults people to socialize for older adults care?

Population ageing is a significant trend in social development and will remain a fundamental national condition in China for the foreseeable future. Socialized older adults care has become a crucial strategy for China to address population ageing. However, the current levels of acceptance and willingness to seek socialized older adults care among older adults are relatively low. This study focuses on examining how the community environment and services influence older adults people's willingness to engage in social activities related to older adults care. Using data from the China Longitudinal Ageing Social Survey (CLASS) (N = 9,657), this study investigated the impact of the community service environment on older adults people's willingness to participate in social activities related to older adults care through a logit model. The study revealed that 9.15% of older adults (N = 9,657) in China are willing to engage in social activities related to older adults care. Furthermore, the individual characteristics and family support of older adults play a significant role in shaping their willingness to engage in older adults care. The provision of medical services, daily care services, and entertainment venues by the community positively influence older adults people's willingness to participate in social activities related to older adults care (p < 0.01), whereas psychological counselling services have a negative impact (p < 0.01). The impact of community services on older adults people's willingness to engage in social activities related to older adults care varies due to factors such as smoking and chronic diseases. These findings provide valuable insights for improving older adults' social engagement in China.

Middle-aged and older people's preference for medical-elderly care integrated institutions in China: a discrete choice experiment study

BACKGROUND

With the continuing impact of the aging population, medical-elderly care integrated institutions, as a way to bear the pressure of medical and elderly care, effectively ensure the quality of life of the elderly in their later years.

OBJECTIVES

To explore the preferences of medical-elderly care integrated institutions among Chinese middle-aged and older people and to provide a reference for establishing elderly-oriented development of medical-elderly care integrated institutions.

METHODS

In this study, a discrete choice experiment (DCE) was used to investigate the preferences of people aged 45 years and older in medical-elderly care integrated institutions in China from October 20, 2022, to November 10, 2022. A mixed logit regression model was used to analyze the DCE data. Participants' willingness to pay for each attribute was also calculated.

RESULTS

Data from 420 participants who provided valid responses were included in the analysis. In terms of the choice preference, moderate service quality (vs. poor service quality: β = 1.707, p < 0.001, 95% CI 1.343 ~ 2.071) and high medical technology level (vs. low medical technology level: β = 1.535, p < 0.001, 95% CI 1.240 ~ 1.830) were the most important attributes to middle-aged and older people, followed by monthly cost, environmental facilities, the convenience of transportation, and entertainment activities. Regarding the willingness to pay, participants were more willing to pay for service quality and medical technology level than for other attributes. They were willing to pay $3156 and $2838 more for "poor service quality" and "low medical technology level," respectively, to receive "moderate service quality " (p = 0.007, 95% CI 963 ~ 5349) and "high medical technology level" (p = 0.005, 95% CI 852 ~ 4824).

CONCLUSIONS

The state should attach great importance to the development of medical-elderly care integrated services industry, actively optimize the model of the medical-elderly care integrated service, improve the facilities, and create a healthy environment. At the same time, give full play to the role of medical insurance, long-term care insurance, and commercial insurance, so as to improve the comprehensive quality of life of the elderly.

PUBLIC CONTRIBUTION

The design of the experimental selection was guided by 10 experts in the field, 5 Chinese government officials, and interviews and focus group discussions, without whose participation this study would not have been possible.

Choice Preference of Middle-Aged and Elderly People on Integrated Medical Services and Elderly Care Model: A Cross-Sectional Study

Facing the increasingly severe aging situation, China has started to implement the "integrated medical services and elderly care (IMSEC)" policy, which covers a variety of IMSEC models. However, there is currently little research on middle-aged and elderly people's choice preference for these IMSEC models and their associated factors. Through the face-to-face questionnaire method, the choice preference of middle-aged and elderly people aged 45 years and over in Zhejiang Province, China, to the IMSEC model is explored. Through the multinomial logistic regression model, the influencing factors of choice preference are analyzed. A total of 1034 people are included in 2022. Their choice preference for the 4 major types of IMSEC models are Home IMSEC model (48.07%), Community IMSEC model (23.79%), Institutional IMSEC model (21.76%), and Internet Plus IMSEC model (6.38%). "C1. Home elderly care and contracted with a family doctor" is the most chosen subtype, accounting for 34.53%. The rural elderly are more likely to choose "Home IMSEC model" (OR(95%CI) = 2.977(1.343-6.601)). Elderly people with relatively large life care needs are more likely to choose "Institutional IMSEC model" (OR(95%CI) = 1.114(1.042-1.190)). Moreover, age, education, and self-reported health status are also influencing factors of choice preference. The government should focus on promoting the development of the "Home IMSEC model" and increase the promotion of "Internet Plus IMSEC model." In addition, the life care service capacity and spiritual comfort capacity of IMSEC institutions, as well as the medical service capacity of the community, need to be enhanced.

Growing old in China in socioeconomic and epidemiological context: systematic review of social care policy for older people

BACKGROUND

From 2020 to 2050, China's population aged ≥65 years old is estimated to more than double from 172 million (12·0%) to 366 million (26·0%). Some 10 million have Alzheimer's disease and related dementias, to approach 40 million by 2050. Critically, the population is ageing fast while China is still a middle-income country.

METHODS

Using official and population-level statistics, we summarise China's demographic and epidemiological trends relevant to ageing and health from 1970 to present, before examining key determinants of China's improving population health in a socioecological framework. We then explore how China is responding to the care needs of its older population by carrying out a systematic review to answer the question: 'what are the key policy challenges to China achieving an equitable nationwide long-term care system for older people?'. Databases were screened for records published between 1st June 2020 and 1st June 2022 in Mandarin Chinese or English, reflecting our focus on evidence published since introduction of China's second long-term care insurance pilot phase in 2020.

RESULTS

Rapid economic development and improved access to education has led to widescale internal migration. Changing fertility policies and household structures also pose considerable challenges to the traditional family care model. To deal with increasing need, China has piloted 49 alternative long-term care insurance systems. Our findings from 42 studies (n = 16 in Mandarin) highlight significant challenges in the provision of quality and quantity of care which suits the preference of users, varying eligibility for long-term care insurance and an inequitable distribution of cost burden. Key recommendations include increasing salaries to attract and retain staff, introduction of mandatory financial contributions from employees and a unified standard of disability with regular assessment. Strengthening support for family caregivers and improving smart old age care capacity can also support preferences to age at home.

CONCLUSIONS

China has yet to establish a sustainable funding mechanism, standardised eligibility criteria and a high-quality service delivery system. Its long-term care insurance pilot studies provide useful lessons for other middle-income countries facing similar challenges in terms of meeting the long-term care needs of their rapidly growing older populations.