Developing a Long-term Care Model for Urban China: Lessons

Developing a Long-term Care Model for Urban China: Lessons | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Developing a Long-term Care Model for Urban China: Lessons Faina Linkov, Haibin Shi, Ariel Shensa, Bianca Shieu This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-9215420/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Developing a sustainable long-term care (LTC) system poses a challenge globally and is particularly urgent in China given its rapidly aging population. Despite recent policy initiatives, China’s LTC system remains at early stage. This study conducted a comprehensive literature review (PubMed, Google Scholar, EBSCO, CNKI) and applied recurrent theme and comparative analyses to examine mature LTC models in selected countries and identify critical success factors transferable to China’s unique socioeconomic and cultural context. Six core elements associated with successful LTC models were identified. Insights from the United States, Japan, the United Kingdom, Germany, and Brazil provide actionable strategies that, with appropriate adaptation to China’s socioeconomic and cultural context, can inform the development of an effective, sustainable, and culturally sensitive LTC model. long-term care population aging financing service delivery culture governance quality supervision technology China Figures Figure 1 Figure 2 Introduction Population aging is the most significant global demographic trend, presenting unprecedented challenges for LTC systems, particularly in developing countries [ 1 ]. LTC encompasses a broad spectrum of services aimed at assisting individuals aged 60 and older with limitations in independent living, including help with daily activities, respite care, home healthcare, adult day care, and nursing home care [ 2 ]. China faces a demographic problem of a rapidly aging population, a trend accelerated by the effects of the one-child policy [ 3 , 4 ]. By 2035, the elderly population in China is projected to reach 400 million, accounting for over 30% of the total population [ 5 ]. Since the 1960s, developed countries have been aiming to develop LTC systems to address demographic shifts, focusing on sustainability, accessibility, affordability, and care quality [ 6 – 8 ]. Multiple nations have gained valuable insights in LTC development and have implemented comprehensive LTC models, such as USA, UK, and Japan. Although not perfect, models and strategies from these countries can potentially meet the needs of LTC [ 9 , 10 ]. Some rapidly developing countries, including South Korean, Brazil and Cuba, having faced similar challenge as China, have also designed effective LTC systems suited to their unique needs. China can gain valuable insights by studying these countries’ experiences [ 10 , 11 ]. For instance, Japan’s Long-Term Care (LTC) Insurance system exemplifies successful policy transfer and institutional adaptation[ 12 ]. Introduced in 2000, it effectively adapted Germany’s social insurance model and the UK’s community-care approach to its rapid demographic ageing and cultural preference for family- and home-based care, creating one of the world’s most comprehensive and sustainable public LTC systems [ 13 ]. A comparative analysis of LTC systems from both developed and developing nations could help China create a culturally sensitive and effective model that addresses its unique challenges, which is the key aim of this paper. Specifically, we are aiming to focus on key factors influencing the supply and utilization of LTC system in selected countries with already implemented successful LTC models. Methods Factors extracted/analyzed This study employed an iterative search approach, systematically focusing on key factors influencing the supply and utilization of LTC system. Through targeted literature searches, the influencing factors were identified, sorted, and screened based on their frequency of being mentioned in the literature. Databases and keywords Relevant articles were sourced from PubMed, Google Scholar, EBSCO, CNKI, and others, using keywords such as factors influencing LTC, LTC models, elderly care, pensions, financing, service location, technology, quality, cultural factors, government involvement, and performance. Inclusion criteria Systematic review, quantitative and qualitative research, topic focused on long term care for the elderly, published after 2010, published in an academic journal, published in English or Chinese language. Exclusion criteria Focus on clinical treatments, older adults are not the main target, published earlier than 2010, full text not available in English and Chinese. Criteria for selection of countries Based on the main factors influencing LTC and the actual condition in China, this study employed a comparative analysis to identify the components of the optimal LTC model that would be applicable to China. A total of five countries were identified, which include USA, Japan, UK, Germany, and Brazil. The selection emphasizes variation in economic development levels (high-income vs. middle-income), cultural contexts, funding mechanisms, service delivery approaches, and innovative features, rather than adopting any single country’s model wholesale. Instead, the study extracts prominent characteristics, policies, or best practices from each for potential adaptation to China’s context. (Also outlined in Table 1) 1. Japan: As a neighboring country with shared cultural traditions, including Confucian values and filial piety [ 14 ], offers a highly structured universal LTC insurance system (introduced in 2000) that shifted responsibility from families to society, featuring rigorous needs assessment, prevention programs, significant public investment (around 2% of GDP), and advanced technology integration such as robotics[ 15 ]. 2. Germany and Japan exemplify successful implementation of advanced technologies in LTC, with Germany leveraging information technology alongside a mandatory universal insurance model that prioritizes informal care through cash benefits, prevention, and rehabilitation without means testing [ 16 , 17 ]. 3. The United Kingdom pioneered market-oriented reforms in social services (separating purchasing from provision within the NHS framework) and provides a means-tested system supplemented by direct payments for user-directed care and strong support for informal caregivers[ 18 , 19 ]. 4. The United States demonstrates diverse, market-driven innovations—including Continuing Care Retirement Communities (CCRCs), the Green House model, PACE programs, Active Adult Communities, and financial tools like reverse mortgages—within a mixed public-private system reliant on Medicaid for low-income groups and strict regulatory oversight[ 20 , 21 ]. 5. Brazil, sharing similarities with China as a large-population, middle-income country, integrates LTC primarily within its universal public health system (SUS) and social assistance framework (SUAS), emphasizing cost-effective facility-based care, non-contributory pensions, and heavy reliance on family support while meeting basic needs [ 22 , 23 ]. Data analysis: Recurrent theme analysis and comparative analysis were used to identify factors that all or most LTC systems in the selected countries are harnessing to achieve positive outcomes for their LTC system. Results A total of 467 articles were identified through the literature search. Finally, 63 articles were selected for the final analysis. The key parameters guiding this selection are summarized in Table 1. Table 1. Characteristics of LTC systems in comparator countries selected for this research A total of 467 articles were identified through the literature search. Finally, 63 articles were selected for the final analysis. The key parameters guiding this selection are summarized in Table 1. Table 1. Characteristics of LTC systems in comparator countries selected for this research Collectively, the selected cases encompass a diverse array of LTC policy frameworks, ranging from privatized and means-tested arrangements (as exemplified by the United States and the United Kingdom) to universal social insurance models (Japan and Germany) and publicly integrated systems embedded within broader health and social assistance structures (Brazil). Spanning both high-income and middle-income contexts, these examples illuminate adaptable policy strategies for addressing the multifaceted challenges posed by population aging. In particular, they highlight effective approaches to ensuring funding sustainability, maintaining service quality, enhancing user satisfaction, and incorporating technological innovations, thereby offering valuable comparative insights for the development of contextually appropriate LTC reforms in China. Key factors identified for a LTC system Recurrent topics explained 1. Government Involvement The aging population poses a major challenge for governments, requiring them to develop national strategies for LTC system [ 24 ]. governments play a crucial role to ensure accessible, affordable services [ 11 ]. In addition to expanding services, they must oversee care quality, enforce licensing standards for public funding, and train informal caregivers [ 25 ]. Some countries are working to reform the government’s role in the LTC model, with strategies aimed at gradually shifting from being a direct provider to a purchaser and regulator of LTC services, as seen in the USA [ 26 ]. 2. Financing Financing for LTC involves various sources and mechanisms to cover the costs associated with providing LTC services for the elderly[ 12 ]. It is fundamental to an LTC model, influencing its design, services, accessibility, care quality, sustainability, equity, and social justice [ 27 ]. Financing is influenced by the governing system, social security, and health insurance reimbursement. LTC models can be categorized into tax-based, social insurance-based, private insurance-based, and mixed models [ 7 , 27 ]. Most countries use a tax-based LTC system, including the UK, while others, like Germany, Japan, and the Netherlands, have LTC insurance (LTCI). Most nations with tax or health insurance systems apply means testing for eligibility. LTCI-based countries have the highest LTC expenditure as a percentage of GDP (1.75%), followed by tax-based systems (1.54%) and health insurance-based systems (1.13%) [ 27 ]. Compared with other countries in the OECD, the USA spends less percentage of the GDP on the LTC system. The majority of funding is from private source, at around 55% in 2006[ 20 ]. 3. Service location : Across all countries, LTC is commonly delivered through three main models: home-based care, community-based care, and residential facilities [ 10 , 26 ]. The concept of “aging in place”—growing older in one’s own home—is widely recognized and preferred by most older adults, who value autonomy, independence, and staying close to familiar surroundings and loved ones. As a result, institutional care is often seen as a last resort [ 28 , 29 ]. “Aging in place” is central to the HCBC model, which integrates home and community care for personalized support. It promotes independence, lowers infection and mental health risks, delays residential care, improves quality of life, and reduces societal costs while maintaining autonomy and community ties [ 30 , 31 ]. All studied countries prioritize aging in place and HCBC. In the UK, 60% of public social care recipients now receive home care, up from nursing homes being the primary option three decades ago [ 32 ]. 4. Cultural : Culture fundamentally shapes LTC by influencing attitudes, expectations, and responsibilities around caregiving, including family involvement and societal roles. A Swiss study highlights significant differences in LTC preferences between cultural groups, Latin-speaking individuals and German-speaking counterparts [ 33 ]. Despite these cultural differences, families universally remain the primary caregivers of LTC, even when formal care options are accessible. This underscores the central role of familial care in LTC system[ 11 ]. China and other Asian countries like Japan, Singapore, and South Korea emphasizes filial piety, the duty of children to care for their aging parents [ 14 , 34 ]. Filial responsibility is legally mandated in some countries, like China and Singapore, and 28 US states still have such laws [ 11 , 35 , 36 ]. 5. Integration of technology The use of advanced technology in healthcare has a long history, but its adoption in LTC began later and has accelerated rapidly in recent years. Technologies such as AI, robotics, telemedicine, smart homes, and wearable devices improve care efficiency, address workforce shortages, enhance safety, and expand accessibility. They also support aging in place by enabling independent living through monitoring, fall detection, and medication reminders, while tools like virtual reality and social robots provide companionship, cognitive stimulation, and mental health support. Information technology and big data aid policymakers and caregivers by tracking health trends and resource use, leading to more effective and sustainable LTC models. This integration is fundamentally transforming the delivery of care [ 37 – 39 ]. 6. Quality supervision Countries like the UK and the USA have implemented public-facing rating systems to enhance transparency, while Germany and Japan prioritize regulatory inspections with a growing focus on patient outcomes. This shift reflects an increasing emphasis on not just compliance but the real-world impact of care on elderly well-being [ 40 – 42 ]. Over the past two decades, China implemented efforts in LTC system, but lacked adequate quality supervision. In March 2017, the Ministry of Civil Affairs launched a nationwide initiative to improve care standards and facility quality. By the end of 2017, national service quality standards and an evaluation system were implemented, significantly enhancing care across the country [51]. Collectively, the selected cases encompass a diverse array of LTC policy frameworks, ranging from privatized and means-tested arrangements (as exemplified by the United States and the United Kingdom) to universal social insurance models (Japan and Germany) and publicly integrated systems embedded within broader health and social assistance structures (Brazil). Spanning both high-income and middle-income contexts, these examples illuminate adaptable policy strategies for addressing the multifaceted challenges posed by population aging. In particular, they highlight effective approaches to ensuring funding sustainability, maintaining service quality, enhancing user satisfaction, and incorporating technological innovations, thereby offering valuable comparative insights for the development of contextually appropriate LTC reforms in China. Key factors identified for a LTC system Recurrent topics explained 1. Government Involvement The aging population poses a major challenge for governments, requiring them to develop national strategies for LTC system [ 24 ]. governments play a crucial role to ensure accessible, affordable services [ 11 ]. In addition to expanding services, they must oversee care quality, enforce licensing standards for public funding, and train informal caregivers [ 25 ]. Some countries are working to reform the government’s role in the LTC model, with strategies aimed at gradually shifting from being a direct provider to a purchaser and regulator of LTC services, as seen in the USA [ 26 ]. 2. Financing Financing for LTC involves various sources and mechanisms to cover the costs associated with providing LTC services for the elderly[ 12 ]. It is fundamental to an LTC model, influencing its design, services, accessibility, care quality, sustainability, equity, and social justice [ 27 ]. Financing is influenced by the governing system, social security, and health insurance reimbursement. LTC models can be categorized into tax-based, social insurance-based, private insurance-based, and mixed models [ 7 , 27 ]. Most countries use a tax-based LTC system, including the UK, while others, like Germany, Japan, and the Netherlands, have LTC insurance (LTCI). Most nations with tax or health insurance systems apply means testing for eligibility. LTCI-based countries have the highest LTC expenditure as a percentage of GDP (1.75%), followed by tax-based systems (1.54%) and health insurance-based systems (1.13%) [ 27 ]. Compared with other countries in the OECD, the USA spends less percentage of the GDP on the LTC system. The majority of funding is from private source, at around 55% in 2006[ 20 ]. 3. Service location : Across all countries, LTC is commonly delivered through three main models: home-based care, community-based care, and residential facilities [ 10 , 26 ]. The concept of “aging in place”—growing older in one’s own home—is widely recognized and preferred by most older adults, who value autonomy, independence, and staying close to familiar surroundings and loved ones. As a result, institutional care is often seen as a last resort [ 28 , 29 ]. “Aging in place” is central to the HCBC model, which integrates home and community care for personalized support. It promotes independence, lowers infection and mental health risks, delays residential care, improves quality of life, and reduces societal costs while maintaining autonomy and community ties [ 30 , 31 ]. All studied countries prioritize aging in place and HCBC. In the UK, 60% of public social care recipients now receive home care, up from nursing homes being the primary option three decades ago [ 32 ]. 4. Cultural : Culture fundamentally shapes LTC by influencing attitudes, expectations, and responsibilities around caregiving, including family involvement and societal roles. A Swiss study highlights significant differences in LTC preferences between cultural groups, Latin-speaking individuals and German-speaking counterparts [ 33 ]. Despite these cultural differences, families universally remain the primary caregivers of LTC, even when formal care options are accessible. This underscores the central role of familial care in LTC system[ 11 ]. China and other Asian countries like Japan, Singapore, and South Korea emphasizes filial piety, the duty of children to care for their aging parents [ 14 , 34 ]. Filial responsibility is legally mandated in some countries, like China and Singapore, and 28 US states still have such laws [ 11 , 35 , 36 ]. 5. Integration of technology The use of advanced technology in healthcare has a long history, but its adoption in LTC began later and has accelerated rapidly in recent years. Technologies such as AI, robotics, telemedicine, smart homes, and wearable devices improve care efficiency, address workforce shortages, enhance safety, and expand accessibility. They also support aging in place by enabling independent living through monitoring, fall detection, and medication reminders, while tools like virtual reality and social robots provide companionship, cognitive stimulation, and mental health support. Information technology and big data aid policymakers and caregivers by tracking health trends and resource use, leading to more effective and sustainable LTC models. This integration is fundamentally transforming the delivery of care [ 37 – 39 ]. 6. Quality supervision Countries like the UK and the USA have implemented public-facing rating systems to enhance transparency, while Germany and Japan prioritize regulatory inspections with a growing focus on patient outcomes. This shift reflects an increasing emphasis on not just compliance but the real-world impact of care on elderly well-being [ 40 – 42 ]. Over the past two decades, China implemented efforts in LTC system, but lacked adequate quality supervision. In March 2017, the Ministry of Civil Affairs launched a nationwide initiative to improve care standards and facility quality. By the end of 2017, national service quality standards and an evaluation system were implemented, significantly enhancing care across the country [51]. Discussion Learning from advanced international practices does not imply replicating another country's pension model in its entirety. Instead, the proper approach is to tailor these lessons to the specific circumstances of one’s own country. By selectively adopting effective measures, it is possible to address particular challenges. These valuable insights may come from a variety of countries, each offering solutions to specific issues. Every country explored in this research places significant emphasis on LTC systems, but the role of governments in elderly care varies across nations. For instance, compared to Germany, the U.S. government prioritizes the marketization of LTC services, with less direct involvement in service provision. In contrast, the Chinese government maintains a leading role in its LTC system, actively participating in nearly every aspect of LTC system [ 26 , 43 ]. Financing will be the top challenge for the China. China faces insurmountable challenges in implementing universal LTCI. As it “grows old before getting rich,” relying on a single funding source is insufficient to address this issue [ 44 ]. A promising solution is to integrate healthcare and long-term care services with diverse funding sources, aligning with developmental trends for a more sustainable future. The location of services significantly impacts accessibility, affordability, community integration, and sustainability in LTC models. Globally, there’s a shift toward aging in place through HCBC. In 2010, China introduced a three-tiered system emphasizing home-based care, supported by community and institutional services, known as the “90-7-3” structure. This aims for 90% of elderly care at home, 7% through community services, and 3% in institutions [ 34 , 42 ]. To promote HCBC, the government has implemented policies such as expanding community canteens for the elderly [ 45 ]. Culture’s influence on LTC is comprehensive, influencing the delivery of care, the expectations of both caregivers and recipients, and the overall effectiveness of care [ 46 , 47 ]. In China, demographic changes are making traditional elder care by children unsustainable, and enforcing filial responsibility through legal measures is challenging due to the ambiguity of existing laws [ 14 ]. The impact of culture on LTC is evolving, with a shift from relying on offspring as primary caregivers to alternative caregivers, self-purchased services, and government-provided care. This change supports the development of HCBC. Many developed countries have already integrated advanced technologies into LTC. The U.S. employs telemedicine and remote monitoring (e.g., Mercy Virtual Care Center) to improve accessibility and efficiency [ 40 ]. Japan leads in robotics, with therapeutic robots like Paro providing companionship in care facilities [ 41 , 42 ]. Germany uses digital platforms for real-time coordination among caregivers, families, and providers, enhancing care integration [ 43 ]. China was a late adopter of high technology in the LTC sector, referred to as “smart LTC,” which utilizes information and intelligent control technologies to connect LTC participants, including government agencies, communities, healthcare institutions, and caregivers [ 48 ]. China launched the “Action Plan for the Development of Smart LTC Industry (2017–2020)” as a foundational step toward integrating technology into LTC services [ 49 , 50 ]. Despite challenges such as high costs, privacy concerns, and difficulties in elderly technology adoption, high technology offers significant potential to improve care quality and support aging in place. As a result, it is becoming an indispensable part of LTC systems worldwide. Quality supervision is essential in LTC systems to ensure services for the elderly are safe, effective, and tailored to their physical, mental, and emotional needs. The government should play a central role in overseeing LTC quality. Adequate financing supports stronger enforcement of standards and robust inspections, while technologies like electronic health records (EHRs), telemedicine, and monitoring systems enable real-time data, responsive interventions, and more personalized, efficient care. Despite the Chinese government has put a lot of effort into quality supervision, there is still considerable room for China to enhance and refine the quality supervision of its LTC system. Each country’s LTC system has distinct strengths and challenges. The UK emphasizes fairness and strong state involvement but faces efficiency issues. The U.S. prioritizes market-driven efficiency, yet suffers from fragmentation and limited equitable access. Germany balances fairness and efficiency through mandatory LTC insurance, though it struggles with financial sustainability and incomplete cost coverage. Japan’s universal LTC insurance offers broad coverage but is hampered by a severe caregiver shortage. Brazil integrates LTC with healthcare and shows socioeconomic potential, but remains underdeveloped and lacks a people-centered focus. China can integrate the most effective elements from these international models to build an optimal LTC system. Over the past two decades, government efforts have concentrated on expanding facilities and nursing beds. However, global trends such as “aging in place” have proven successful elsewhere. China should therefore shift toward demand-side support by continuing policies like delayed retirement, strengthening informal care networks, and adopting innovative approaches such as the elderly mutual assistance model—where recently retired individuals volunteer to care for frailer seniors and earn service hours redeemable for their own future care. This review offers valuable insights for health policy, highlighting how comparative analysis of multiple countries can help shape China’s future LTC model. As a developing nation experiencing rapid population aging, China must learn from international experiences, adapt them to local conditions, and develop efficient, sustainable solutions to meet growing LTC demands with limited resources. Future research should focus on concrete implementation steps to optimize China’s LTC system. Declarations Author Contribution A=Haibin Shi B= Dr. LinkovC= Dr. ShensaD=Dr. ShieuA, B, C, and D wrote, edited and reviewed the original draft. 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Technology, M.o.I.a.I., Notice of the Ministry of Industry and Information Technology, the Ministry of Civil Affairs and the National Health and Family Planning Commission on the issuance of the Action Plan for the Development of the Smart Healthcare and Elderly Care Industry ( 2017 –2020). 2017. Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-9215420","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":611668611,"identity":"a193ec03-8127-4c1f-9639-f210fbc373c3","order_by":0,"name":"Faina Linkov","email":"","orcid":"","institution":"Duquesne University","correspondingAuthor":false,"prefix":"","firstName":"Faina","middleName":"","lastName":"Linkov","suffix":""},{"id":611668612,"identity":"fac814e8-a009-473d-bfcb-05876bda7f94","order_by":1,"name":"Haibin Shi","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAo0lEQVRIiWNgGAWjYDACCcY2hoQKZgibeC0PzpCmhYGN8WEbKVrkZze3PUicZ53Yd4D54G0eYrQY3DnYbpC4LT1x5gG2ZGvitEgktkkkbjucuOEAj5k0UVrkZ4C0zAFp4f9GnBaGGyAtDWBb2IjTYgDSknAs3XjmYTZjyznEOSz9meSPGmvZvuPND2+8IcphcHCYNOUgcIB0LaNgFIyCUTBCAAAXRjSqpChh+gAAAABJRU5ErkJggg==","orcid":"","institution":"Duquesne University","correspondingAuthor":true,"prefix":"","firstName":"Haibin","middleName":"","lastName":"Shi","suffix":""},{"id":611668613,"identity":"3e5174af-3e19-4444-b3d7-9b552fd9d093","order_by":2,"name":"Ariel Shensa","email":"","orcid":"","institution":"Duquesne University","correspondingAuthor":false,"prefix":"","firstName":"Ariel","middleName":"","lastName":"Shensa","suffix":""},{"id":611668614,"identity":"7481f89b-991a-4533-9fea-e972e08df99f","order_by":3,"name":"Bianca Shieu","email":"","orcid":"","institution":"University of Texas","correspondingAuthor":false,"prefix":"","firstName":"Bianca","middleName":"","lastName":"Shieu","suffix":""}],"badges":[],"createdAt":"2026-03-24 18:53:31","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-9215420/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-9215420/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":105975995,"identity":"35552563-2c64-4d2f-b375-01e07e15fa72","added_by":"auto","created_at":"2026-04-02 05:23:08","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":46387,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eStudy flow\u003c/strong\u003e\u003c/p\u003e","description":"","filename":"floatimage1.png","url":"https://assets-eu.researchsquare.com/files/rs-9215420/v1/8fbc8d725f4e9a88d5397519.png"},{"id":105975996,"identity":"2788cc98-f87c-48c5-9763-4d432b8f62e0","added_by":"auto","created_at":"2026-04-02 05:23:08","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":34706,"visible":true,"origin":"","legend":"\u003cp\u003eKey characteristics of well-functioning LTC models: Preliminary work to establish new working model for China\u003c/p\u003e","description":"","filename":"floatimage3.png","url":"https://assets-eu.researchsquare.com/files/rs-9215420/v1/0cffba7c49cc71f4c2f9c48c.png"},{"id":109405733,"identity":"8623363f-fa60-40a3-b3b2-b1679602d16c","added_by":"auto","created_at":"2026-05-17 13:20:00","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":511063,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-9215420/v1/5fc2bec9-dd7e-4a18-a7d9-c81122d57761.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Developing a Long-term Care Model for Urban China: Lessons","fulltext":[{"header":"Introduction","content":"\u003cp\u003ePopulation aging is the most significant global demographic trend, presenting unprecedented challenges for LTC systems, particularly in developing countries [\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e]. LTC encompasses a broad spectrum of services aimed at assisting individuals aged 60 and older with limitations in independent living, including help with daily activities, respite care, home healthcare, adult day care, and nursing home care [\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e]. China faces a demographic problem of a rapidly aging population, a trend accelerated by the effects of the one-child policy [\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e, \u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e]. By 2035, the elderly population in China is projected to reach 400\u0026nbsp;million, accounting for over 30% of the total population [\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eSince the 1960s, developed countries have been aiming to develop LTC systems to address demographic shifts, focusing on sustainability, accessibility, affordability, and care quality [\u003cspan additionalcitationids=\"CR7\" citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e]. Multiple nations have gained valuable insights in LTC development and have implemented comprehensive LTC models, such as USA, UK, and Japan. Although not perfect, models and strategies from these countries can potentially meet the needs of LTC [\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e, \u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e]. Some rapidly developing countries, including South Korean, Brazil and Cuba, having faced similar challenge as China, have also designed effective LTC systems suited to their unique needs. China can gain valuable insights by studying these countries\u0026rsquo; experiences [\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e, \u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e]. For instance, Japan\u0026rsquo;s Long-Term Care (LTC) Insurance system exemplifies successful policy transfer and institutional adaptation[\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e]. Introduced in 2000, it effectively adapted Germany\u0026rsquo;s social insurance model and the UK\u0026rsquo;s community-care approach to its rapid demographic ageing and cultural preference for family- and home-based care, creating one of the world\u0026rsquo;s most comprehensive and sustainable public LTC systems [\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eA comparative analysis of LTC systems from both developed and developing nations could help China create a culturally sensitive and effective model that addresses its unique challenges, which is the key aim of this paper. Specifically, we are aiming to focus on key factors influencing the supply and utilization of LTC system in selected countries with already implemented successful LTC models.\u003c/p\u003e"},{"header":"Methods","content":"\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e \u003ch2\u003eFactors extracted/analyzed\u003c/h2\u003e \u003cp\u003eThis study employed an iterative search approach, systematically focusing on key factors influencing the supply and utilization of LTC system. Through targeted literature searches, the influencing factors were identified, sorted, and screened based on their frequency of being mentioned in the literature.\u003c/p\u003e \u003c/div\u003e\n\u003ch3\u003eDatabases and keywords\u003c/h3\u003e\n\u003cp\u003eRelevant articles were sourced from PubMed, Google Scholar, EBSCO, CNKI, and others, using keywords such as factors influencing LTC, LTC models, elderly care, pensions, financing, service location, technology, quality, cultural factors, government involvement, and performance.\u003c/p\u003e \u003cp\u003e \u003cstrong\u003eInclusion criteria\u003c/strong\u003e \u003cp\u003eSystematic review, quantitative and qualitative research, topic focused on long term care for the elderly, published after 2010, published in an academic journal, published in English or Chinese language.\u003c/p\u003e \u003c/p\u003e \u003cp\u003e \u003cstrong\u003eExclusion criteria\u003c/strong\u003e \u003cp\u003eFocus on clinical treatments, older adults are not the main target, published earlier than 2010, full text not available in English and Chinese.\u003c/p\u003e \u003c/p\u003e \u003cp\u003e \u003cstrong\u003eCriteria for selection of countries\u003c/strong\u003e \u003cp\u003eBased on the main factors influencing LTC and the actual condition in China, this study employed a comparative analysis to identify the components of the optimal LTC model that would be applicable to China. A total of five countries were identified, which include USA, Japan, UK, Germany, and Brazil. The selection emphasizes variation in economic development levels (high-income vs. middle-income), cultural contexts, funding mechanisms, service delivery approaches, and innovative features, rather than adopting any single country\u0026rsquo;s model wholesale. Instead, the study extracts prominent characteristics, policies, or best practices from each for potential adaptation to China\u0026rsquo;s context. (Also outlined in Table\u0026nbsp;1)\u003c/p\u003e \u003c/p\u003e \u003cp\u003e \u003col\u003e \u003cspan\u003e \u003cli\u003e \u003cp\u003e1. Japan: As a neighboring country with shared cultural traditions, including Confucian values and filial piety [\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e], offers a highly structured universal LTC insurance system (introduced in 2000) that shifted responsibility from families to society, featuring rigorous needs assessment, prevention programs, significant public investment (around 2% of GDP), and advanced technology integration such as robotics[\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e].\u003c/p\u003e \u003c/li\u003e \u003c/span\u003e \u003cspan\u003e \u003cli\u003e \u003cp\u003e2. Germany and Japan exemplify successful implementation of advanced technologies in LTC, with Germany leveraging information technology alongside a mandatory universal insurance model that prioritizes informal care through cash benefits, prevention, and rehabilitation without means testing [\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e, \u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e].\u003c/p\u003e \u003c/li\u003e \u003c/span\u003e \u003cspan\u003e \u003cli\u003e \u003cp\u003e3. The United Kingdom pioneered market-oriented reforms in social services (separating purchasing from provision within the NHS framework) and provides a means-tested system supplemented by direct payments for user-directed care and strong support for informal caregivers[\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e, \u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e].\u003c/p\u003e \u003c/li\u003e \u003c/span\u003e \u003cspan\u003e \u003cli\u003e \u003cp\u003e4. The United States demonstrates diverse, market-driven innovations\u0026mdash;including Continuing Care Retirement Communities (CCRCs), the Green House model, PACE programs, Active Adult Communities, and financial tools like reverse mortgages\u0026mdash;within a mixed public-private system reliant on Medicaid for low-income groups and strict regulatory oversight[\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e, \u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e].\u003c/p\u003e \u003c/li\u003e \u003c/span\u003e \u003cspan\u003e \u003cli\u003e \u003cp\u003e5. Brazil, sharing similarities with China as a large-population, middle-income country, integrates LTC primarily within its universal public health system (SUS) and social assistance framework (SUAS), emphasizing cost-effective facility-based care, non-contributory pensions, and heavy reliance on family support while meeting basic needs [\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e, \u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e].\u003c/p\u003e \u003c/li\u003e \u003c/span\u003e \u003c/ol\u003e \u003c/p\u003e \u003cdiv id=\"Sec5\" class=\"Section2\"\u003e \u003ch2\u003eData analysis:\u003c/h2\u003e \u003cp\u003eRecurrent theme analysis and comparative analysis were used to identify factors that all or most LTC systems in the selected countries are harnessing to achieve positive outcomes for their LTC system.\u003c/p\u003e \u003c/div\u003e"},{"header":"Results","content":"\u003cp\u003eA total of 467 articles were identified through the literature search. Finally, 63 articles were selected for the final analysis.\u003c/p\u003e\n\u003cp\u003eThe key parameters guiding this selection are summarized in Table\u0026nbsp;1.\u003c/p\u003e\n\u003cp\u003eTable\u0026nbsp;1. Characteristics of LTC systems in comparator countries selected for this research\u003c/p\u003e\n\u003cp\u003eA total of 467 articles were identified through the literature search. Finally, 63 articles were selected for the final analysis.\u003c/p\u003e\n\u003cp\u003eThe key parameters guiding this selection are summarized in Table\u0026nbsp;1.\u003c/p\u003e\n\u003cp\u003eTable\u0026nbsp;1. Characteristics of LTC systems in comparator countries selected for this research\u003c/p\u003e\n\u003cp\u003e\u003cimg 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\"\u003e\u003c/p\u003e\n\u003cp\u003eCollectively, the selected cases encompass a diverse array of LTC policy frameworks, ranging from privatized and means-tested arrangements (as exemplified by the United States and the United Kingdom) to universal social insurance models (Japan and Germany) and publicly integrated systems embedded within broader health and social assistance structures (Brazil). Spanning both high-income and middle-income contexts, these examples illuminate adaptable policy strategies for addressing the multifaceted challenges posed by population aging. In particular, they highlight effective approaches to ensuring funding sustainability, maintaining service quality, enhancing user satisfaction, and incorporating technological innovations, thereby offering valuable comparative insights for the development of contextually appropriate LTC reforms in China.\u003c/p\u003e\n\u003ch3\u003eKey factors identified for a LTC system\u003c/h3\u003e\n\u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eRecurrent topics explained\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e1. Government Involvement\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe aging population poses a major challenge for governments, requiring them to develop national strategies for LTC system [\u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e].\u003c/p\u003e\n\u003cp\u003egovernments play a crucial role to ensure accessible, affordable services [\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e]. In addition to expanding services, they must oversee care quality, enforce licensing standards for public funding, and train informal caregivers [\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e].\u003c/p\u003e\n\u003cp\u003eSome countries are working to reform the government\u0026rsquo;s role in the LTC model, with strategies aimed at gradually shifting from being a direct provider to a purchaser and regulator of LTC services, as seen in the USA [\u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e].\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e2. Financing\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eFinancing for LTC involves various sources and mechanisms to cover the costs associated with providing LTC services for the elderly[\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e]. It is fundamental to an LTC model, influencing its design, services, accessibility, care quality, sustainability, equity, and social justice [\u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e].\u003c/p\u003e\n\u003cp\u003eFinancing is influenced by the governing system, social security, and health insurance reimbursement. LTC models can be categorized into tax-based, social insurance-based, private insurance-based, and mixed models [\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e, \u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e]. Most countries use a tax-based LTC system, including the UK, while others, like Germany, Japan, and the Netherlands, have LTC insurance (LTCI). Most nations with tax or health insurance systems apply means testing for eligibility. LTCI-based countries have the highest LTC expenditure as a percentage of GDP (1.75%), followed by tax-based systems (1.54%) and health insurance-based systems (1.13%) [\u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e]. Compared with other countries in the OECD, the USA spends less percentage of the GDP on the LTC system. The majority of funding is from private source, at around 55% in 2006[\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e].\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e3. Service location\u003c/strong\u003e:\u003c/p\u003e\n\u003cp\u003eAcross all countries, LTC is commonly delivered through three main models: home-based care, community-based care, and residential facilities [\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e, \u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e]. The concept of \u0026ldquo;aging in place\u0026rdquo;\u0026mdash;growing older in one\u0026rsquo;s own home\u0026mdash;is widely recognized and preferred by most older adults, who value autonomy, independence, and staying close to familiar surroundings and loved ones. As a result, institutional care is often seen as a last resort [\u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e28\u003c/span\u003e, \u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e29\u003c/span\u003e]. \u0026ldquo;Aging in place\u0026rdquo; is central to the HCBC model, which integrates home and community care for personalized support. It promotes independence, lowers infection and mental health risks, delays residential care, improves quality of life, and reduces societal costs while maintaining autonomy and community ties [\u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e30\u003c/span\u003e, \u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e31\u003c/span\u003e].\u003c/p\u003e\n\u003cp\u003eAll studied countries prioritize aging in place and HCBC. In the UK, 60% of public social care recipients now receive home care, up from nursing homes being the primary option three decades ago [\u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e32\u003c/span\u003e].\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e4. Cultural\u003c/strong\u003e:\u003c/p\u003e\n\u003cp\u003eCulture fundamentally shapes LTC by influencing attitudes, expectations, and responsibilities around caregiving, including family involvement and societal roles.\u003c/p\u003e\n\u003cp\u003eA Swiss study highlights significant differences in LTC preferences between cultural groups, Latin-speaking individuals and German-speaking counterparts [\u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e33\u003c/span\u003e]. Despite these cultural differences, families universally remain the primary caregivers of LTC, even when formal care options are accessible. This underscores the central role of familial care in LTC system[\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e].\u003c/p\u003e\n\u003cp\u003eChina and other Asian countries like Japan, Singapore, and South Korea emphasizes filial piety, the duty of children to care for their aging parents [\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e, \u003cspan citationid=\"CR34\" class=\"CitationRef\"\u003e34\u003c/span\u003e]. Filial responsibility is legally mandated in some countries, like China and Singapore, and 28 US states still have such laws [\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e, \u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e35\u003c/span\u003e, \u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e36\u003c/span\u003e].\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e5. Integration of technology\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe use of advanced technology in healthcare has a long history, but its adoption in LTC began later and has accelerated rapidly in recent years. Technologies such as AI, robotics, telemedicine, smart homes, and wearable devices improve care efficiency, address workforce shortages, enhance safety, and expand accessibility. They also support aging in place by enabling independent living through monitoring, fall detection, and medication reminders, while tools like virtual reality and social robots provide companionship, cognitive stimulation, and mental health support.\u003c/p\u003e\n\u003cp\u003eInformation technology and big data aid policymakers and caregivers by tracking health trends and resource use, leading to more effective and sustainable LTC models. This integration is fundamentally transforming the delivery of care [\u003cspan additionalcitationids=\"CR38\" citationid=\"CR37\" class=\"CitationRef\"\u003e37\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e39\u003c/span\u003e].\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e6. Quality supervision\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eCountries like the UK and the USA have implemented public-facing rating systems to enhance transparency, while Germany and Japan prioritize regulatory inspections with a growing focus on patient outcomes. This shift reflects an increasing emphasis on not just compliance but the real-world impact of care on elderly well-being [\u003cspan additionalcitationids=\"CR41\" citationid=\"CR40\" class=\"CitationRef\"\u003e40\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e42\u003c/span\u003e].\u003c/p\u003e\n\u003cp\u003eOver the past two decades, China implemented efforts in LTC system, but lacked adequate quality supervision. In March 2017, the Ministry of Civil Affairs launched a nationwide initiative to improve care standards and facility quality. By the end of 2017, national service quality standards and an evaluation system were implemented, significantly enhancing care across the country [51].\u003c/p\u003e\n\u003cp\u003eCollectively, the selected cases encompass a diverse array of LTC policy frameworks, ranging from privatized and means-tested arrangements (as exemplified by the United States and the United Kingdom) to universal social insurance models (Japan and Germany) and publicly integrated systems embedded within broader health and social assistance structures (Brazil). Spanning both high-income and middle-income contexts, these examples illuminate adaptable policy strategies for addressing the multifaceted challenges posed by population aging. In particular, they highlight effective approaches to ensuring funding sustainability, maintaining service quality, enhancing user satisfaction, and incorporating technological innovations, thereby offering valuable comparative insights for the development of contextually appropriate LTC reforms in China.\u003c/p\u003e\n\u003ch3\u003eKey factors identified for a LTC system\u003c/h3\u003e\n\u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eRecurrent topics explained\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e1. Government Involvement\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe aging population poses a major challenge for governments, requiring them to develop national strategies for LTC system [\u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e].\u003c/p\u003e\n\u003cp\u003egovernments play a crucial role to ensure accessible, affordable services [\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e]. In addition to expanding services, they must oversee care quality, enforce licensing standards for public funding, and train informal caregivers [\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e].\u003c/p\u003e\n\u003cp\u003eSome countries are working to reform the government\u0026rsquo;s role in the LTC model, with strategies aimed at gradually shifting from being a direct provider to a purchaser and regulator of LTC services, as seen in the USA [\u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e].\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e2. Financing\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eFinancing for LTC involves various sources and mechanisms to cover the costs associated with providing LTC services for the elderly[\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e]. It is fundamental to an LTC model, influencing its design, services, accessibility, care quality, sustainability, equity, and social justice [\u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e].\u003c/p\u003e\n\u003cp\u003eFinancing is influenced by the governing system, social security, and health insurance reimbursement. LTC models can be categorized into tax-based, social insurance-based, private insurance-based, and mixed models [\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e, \u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e]. Most countries use a tax-based LTC system, including the UK, while others, like Germany, Japan, and the Netherlands, have LTC insurance (LTCI). Most nations with tax or health insurance systems apply means testing for eligibility. LTCI-based countries have the highest LTC expenditure as a percentage of GDP (1.75%), followed by tax-based systems (1.54%) and health insurance-based systems (1.13%) [\u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e]. Compared with other countries in the OECD, the USA spends less percentage of the GDP on the LTC system. The majority of funding is from private source, at around 55% in 2006[\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e].\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e3. Service location\u003c/strong\u003e:\u003c/p\u003e\n\u003cp\u003eAcross all countries, LTC is commonly delivered through three main models: home-based care, community-based care, and residential facilities [\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e, \u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e]. The concept of \u0026ldquo;aging in place\u0026rdquo;\u0026mdash;growing older in one\u0026rsquo;s own home\u0026mdash;is widely recognized and preferred by most older adults, who value autonomy, independence, and staying close to familiar surroundings and loved ones. As a result, institutional care is often seen as a last resort [\u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e28\u003c/span\u003e, \u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e29\u003c/span\u003e]. \u0026ldquo;Aging in place\u0026rdquo; is central to the HCBC model, which integrates home and community care for personalized support. It promotes independence, lowers infection and mental health risks, delays residential care, improves quality of life, and reduces societal costs while maintaining autonomy and community ties [\u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e30\u003c/span\u003e, \u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e31\u003c/span\u003e].\u003c/p\u003e\n\u003cp\u003eAll studied countries prioritize aging in place and HCBC. In the UK, 60% of public social care recipients now receive home care, up from nursing homes being the primary option three decades ago [\u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e32\u003c/span\u003e].\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e4. Cultural\u003c/strong\u003e:\u003c/p\u003e\n\u003cp\u003eCulture fundamentally shapes LTC by influencing attitudes, expectations, and responsibilities around caregiving, including family involvement and societal roles.\u003c/p\u003e\n\u003cp\u003eA Swiss study highlights significant differences in LTC preferences between cultural groups, Latin-speaking individuals and German-speaking counterparts [\u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e33\u003c/span\u003e]. Despite these cultural differences, families universally remain the primary caregivers of LTC, even when formal care options are accessible. This underscores the central role of familial care in LTC system[\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e].\u003c/p\u003e\n\u003cp\u003eChina and other Asian countries like Japan, Singapore, and South Korea emphasizes filial piety, the duty of children to care for their aging parents [\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e, \u003cspan citationid=\"CR34\" class=\"CitationRef\"\u003e34\u003c/span\u003e]. Filial responsibility is legally mandated in some countries, like China and Singapore, and 28 US states still have such laws [\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e, \u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e35\u003c/span\u003e, \u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e36\u003c/span\u003e].\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e5. Integration of technology\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe use of advanced technology in healthcare has a long history, but its adoption in LTC began later and has accelerated rapidly in recent years. Technologies such as AI, robotics, telemedicine, smart homes, and wearable devices improve care efficiency, address workforce shortages, enhance safety, and expand accessibility. They also support aging in place by enabling independent living through monitoring, fall detection, and medication reminders, while tools like virtual reality and social robots provide companionship, cognitive stimulation, and mental health support.\u003c/p\u003e\n\u003cp\u003eInformation technology and big data aid policymakers and caregivers by tracking health trends and resource use, leading to more effective and sustainable LTC models. This integration is fundamentally transforming the delivery of care [\u003cspan additionalcitationids=\"CR38\" citationid=\"CR37\" class=\"CitationRef\"\u003e37\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e39\u003c/span\u003e].\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e6. Quality supervision\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eCountries like the UK and the USA have implemented public-facing rating systems to enhance transparency, while Germany and Japan prioritize regulatory inspections with a growing focus on patient outcomes. This shift reflects an increasing emphasis on not just compliance but the real-world impact of care on elderly well-being [\u003cspan additionalcitationids=\"CR41\" citationid=\"CR40\" class=\"CitationRef\"\u003e40\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e42\u003c/span\u003e].\u003c/p\u003e\n\u003cp\u003eOver the past two decades, China implemented efforts in LTC system, but lacked adequate quality supervision. In March 2017, the Ministry of Civil Affairs launched a nationwide initiative to improve care standards and facility quality. By the end of 2017, national service quality standards and an evaluation system were implemented, significantly enhancing care across the country [51].\u003c/p\u003e"},{"header":"Discussion","content":"\u003cp\u003eLearning from advanced international practices does not imply replicating another country's pension model in its entirety. Instead, the proper approach is to tailor these lessons to the specific circumstances of one\u0026rsquo;s own country. By selectively adopting effective measures, it is possible to address particular challenges. These valuable insights may come from a variety of countries, each offering solutions to specific issues.\u003c/p\u003e \u003cp\u003eEvery country explored in this research places significant emphasis on LTC systems, but the role of governments in elderly care varies across nations. For instance, compared to Germany, the U.S. government prioritizes the marketization of LTC services, with less direct involvement in service provision. In contrast, the Chinese government maintains a leading role in its LTC system, actively participating in nearly every aspect of LTC system [\u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e, \u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e43\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eFinancing will be the top challenge for the China. China faces insurmountable challenges in implementing universal LTCI. As it \u0026ldquo;grows old before getting rich,\u0026rdquo; relying on a single funding source is insufficient to address this issue [\u003cspan citationid=\"CR44\" class=\"CitationRef\"\u003e44\u003c/span\u003e]. A promising solution is to integrate healthcare and long-term care services with diverse funding sources, aligning with developmental trends for a more sustainable future.\u003c/p\u003e \u003cp\u003eThe location of services significantly impacts accessibility, affordability, community integration, and sustainability in LTC models. Globally, there\u0026rsquo;s a shift toward aging in place through HCBC. In 2010, China introduced a three-tiered system emphasizing home-based care, supported by community and institutional services, known as the \u0026ldquo;90-7-3\u0026rdquo; structure. This aims for 90% of elderly care at home, 7% through community services, and 3% in institutions [\u003cspan citationid=\"CR34\" class=\"CitationRef\"\u003e34\u003c/span\u003e, \u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e42\u003c/span\u003e]. To promote HCBC, the government has implemented policies such as expanding community canteens for the elderly [\u003cspan citationid=\"CR45\" class=\"CitationRef\"\u003e45\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eCulture\u0026rsquo;s influence on LTC is comprehensive, influencing the delivery of care, the expectations of both caregivers and recipients, and the overall effectiveness of care [\u003cspan citationid=\"CR46\" class=\"CitationRef\"\u003e46\u003c/span\u003e, \u003cspan citationid=\"CR47\" class=\"CitationRef\"\u003e47\u003c/span\u003e]. In China, demographic changes are making traditional elder care by children unsustainable, and enforcing filial responsibility through legal measures is challenging due to the ambiguity of existing laws [\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e]. The impact of culture on LTC is evolving, with a shift from relying on offspring as primary caregivers to alternative caregivers, self-purchased services, and government-provided care. This change supports the development of HCBC.\u003c/p\u003e \u003cp\u003eMany developed countries have already integrated advanced technologies into LTC. The U.S. employs telemedicine and remote monitoring (e.g., Mercy Virtual Care Center) to improve accessibility and efficiency [\u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e40\u003c/span\u003e]. Japan leads in robotics, with therapeutic robots like Paro providing companionship in care facilities [\u003cspan citationid=\"CR41\" class=\"CitationRef\"\u003e41\u003c/span\u003e, \u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e42\u003c/span\u003e]. Germany uses digital platforms for real-time coordination among caregivers, families, and providers, enhancing care integration [\u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e43\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eChina was a late adopter of high technology in the LTC sector, referred to as \u0026ldquo;smart LTC,\u0026rdquo; which utilizes information and intelligent control technologies to connect LTC participants, including government agencies, communities, healthcare institutions, and caregivers [\u003cspan citationid=\"CR48\" class=\"CitationRef\"\u003e48\u003c/span\u003e]. China launched the \u0026ldquo;Action Plan for the Development of Smart LTC Industry (2017\u0026ndash;2020)\u0026rdquo; as a foundational step toward integrating technology into LTC services [\u003cspan citationid=\"CR49\" class=\"CitationRef\"\u003e49\u003c/span\u003e, \u003cspan citationid=\"CR50\" class=\"CitationRef\"\u003e50\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eDespite challenges such as high costs, privacy concerns, and difficulties in elderly technology adoption, high technology offers significant potential to improve care quality and support aging in place. As a result, it is becoming an indispensable part of LTC systems worldwide.\u003c/p\u003e \u003cp\u003eQuality supervision is essential in LTC systems to ensure services for the elderly are safe, effective, and tailored to their physical, mental, and emotional needs. The government should play a central role in overseeing LTC quality. Adequate financing supports stronger enforcement of standards and robust inspections, while technologies like electronic health records (EHRs), telemedicine, and monitoring systems enable real-time data, responsive interventions, and more personalized, efficient care. Despite the Chinese government has put a lot of effort into quality supervision, there is still considerable room for China to enhance and refine the quality supervision of its LTC system.\u003c/p\u003e \u003cp\u003eEach country\u0026rsquo;s LTC system has distinct strengths and challenges. The UK emphasizes fairness and strong state involvement but faces efficiency issues. The U.S. prioritizes market-driven efficiency, yet suffers from fragmentation and limited equitable access. Germany balances fairness and efficiency through mandatory LTC insurance, though it struggles with financial sustainability and incomplete cost coverage. Japan\u0026rsquo;s universal LTC insurance offers broad coverage but is hampered by a severe caregiver shortage. Brazil integrates LTC with healthcare and shows socioeconomic potential, but remains underdeveloped and lacks a people-centered focus.\u003c/p\u003e \u003cp\u003eChina can integrate the most effective elements from these international models to build an optimal LTC system. Over the past two decades, government efforts have concentrated on expanding facilities and nursing beds. However, global trends such as \u0026ldquo;aging in place\u0026rdquo; have proven successful elsewhere. China should therefore shift toward demand-side support by continuing policies like delayed retirement, strengthening informal care networks, and adopting innovative approaches such as the elderly mutual assistance model\u0026mdash;where recently retired individuals volunteer to care for frailer seniors and earn service hours redeemable for their own future care.\u003c/p\u003e \u003cp\u003eThis review offers valuable insights for health policy, highlighting how comparative analysis of multiple countries can help shape China\u0026rsquo;s future LTC model. As a developing nation experiencing rapid population aging, China must learn from international experiences, adapt them to local conditions, and develop efficient, sustainable solutions to meet growing LTC demands with limited resources. Future research should focus on concrete implementation steps to optimize China\u0026rsquo;s LTC system.\u003c/p\u003e"},{"header":"Declarations","content":"\u003ch2\u003eAuthor Contribution\u003c/h2\u003e\u003cp\u003eA=Haibin Shi B= Dr. LinkovC= Dr. ShensaD=Dr. ShieuA, B, C, and D wrote, edited and reviewed the original draft. All authors also collaborated in methodology and investigation. A, B did Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, ResourcesA prepared SoftwaresB supervised the project\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003eLum, T., \u003cem\u003eLong-term care in Asia\u003c/em\u003e. J Gerontol Soc Work, 2012. 55(7): p. 563\u0026ndash;9.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eCare, W.I.N.L.-T., \u003cem\u003eWhat Is Long-Term Care?\u003c/em\u003e Retrieved from, 2016.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eFeng, Z., et al., \u003cem\u003eChina's rapidly aging population creates policy challenges in shaping a viable long-term care system\u003c/em\u003e. Health Aff (Millwood), 2012. 31(12): p. 2764\u0026ndash;73.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eChen, R., et al., \u003cem\u003eChina has faster pace than Japan in population aging in next 25 years\u003c/em\u003e. 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Int J Environ Res Public Health, 2023. 20(2).\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eTechnology, M.o.I.a.I., \u003cem\u003eNotice of the Ministry of Industry and Information Technology, the Ministry of Civil Affairs and the National Health Commission on the issuance of the Action Plan for the Development of the Smart Healthcare Industry (2021\u0026ndash;2025).\u003c/em\u003e 2021.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eTechnology, M.o.I.a.I., \u003cem\u003eNotice of the Ministry of Industry and Information Technology, the Ministry of Civil Affairs and the National Health and Family Planning Commission on the issuance of the Action Plan for the Development of the Smart Healthcare and Elderly Care Industry (\u003c/em\u003e2017\u003cem\u003e\u0026ndash;2020).\u003c/em\u003e 2017.\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"long-term care, population aging, financing, service delivery, culture, governance, quality supervision, technology, China","lastPublishedDoi":"10.21203/rs.3.rs-9215420/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-9215420/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eDeveloping a sustainable long-term care (LTC) system poses a challenge globally and is particularly urgent in China given its rapidly aging population. Despite recent policy initiatives, China\u0026rsquo;s LTC system remains at early stage. This study conducted a comprehensive literature review (PubMed, Google Scholar, EBSCO, CNKI) and applied recurrent theme and comparative analyses to examine mature LTC models in selected countries and identify critical success factors transferable to China\u0026rsquo;s unique socioeconomic and cultural context. Six core elements associated with successful LTC models were identified. Insights from the United States, Japan, the United Kingdom, Germany, and Brazil provide actionable strategies that, with appropriate adaptation to China\u0026rsquo;s socioeconomic and cultural context, can inform the development of an effective, sustainable, and culturally sensitive LTC model.\u003c/p\u003e","manuscriptTitle":"Developing a Long-term Care Model for Urban China: Lessons","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2026-04-02 05:23:03","doi":"10.21203/rs.3.rs-9215420/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"cc229cb9-e1a2-4dc6-8924-1c55acfc9898","owner":[],"postedDate":"April 2nd, 2026","published":true,"recentEditorialEvents":[{"type":"decision","content":"Rejected","date":"2026-05-16T22:10:58+00:00","index":"","fulltext":""}],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2026-05-16T22:23:38+00:00","versionOfRecord":[],"versionCreatedAt":"2026-04-02 05:23:03","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-9215420","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-9215420","identity":"rs-9215420","version":["v1"]},"buildId":"XKTyCvWXoU3ODBz1xrDgd","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}