Your new experience awaits. Try the new design now and help us make it even better

ORIGINAL RESEARCH article

Front. Public Health, 23 October 2025

Sec. Aging and Public Health

Volume 13 - 2025 | https://doi.org/10.3389/fpubh.2025.1650570

This article is part of the Research TopicPublic Health Outcomes: The Role of Social Security Systems in Improving Residents' Health WelfareView all 99 articles

The impact of end-of-life disability level on middle-aged and older adults’ utilization of medical services

Xiaojing Huang,&#x;Xiaojing Huang1,2Wenqin Liu&#x;Wenqin Liu1Qi PanQi Pan1Man YanMan Yan1Lili Zhu,Lili Zhu1,2Chunxia Miao,
Chunxia Miao1,2*Yun Zhao,
Yun Zhao1,2*
  • 1School of Management, Xuzhou Medical University, Xuzhou, Jiangsu, China
  • 2Institution of Chinese Health Modernization, Xuzhou Medical University, Xuzhou, Jiangsu, China

Background: As healthcare demands often intensify during the final stages of life, this study examines the intricate associations between disability severity and patterns of medical service utilization in end-of-life care.

Methods: The data originate from the 2020 China Health and Retirement Longitudinal Study database (CHARLS). The activities of daily living scale and the instrumental activities of daily living scale are utilized to assess levels of functional disability. This cross-sectional study employed Poisson regression and Tobit regression to assess the influence of disability on the frequency and expense of outpatient and inpatient services utilized during the terminal phase.

Results: The average scores of the activities of daily life and instrument activities of daily life were 10.83 ± 5.71 and 11.55 ± 5.88. The disability level of respondents in the end-stage of life was an important factor affecting the frequency of outpatient and inpatient medical services and inpatient service expenses, where the regression coefficients were 0.028 (p < 0.01), 0.014 (p < 0.05), and 1091.4 (p < 0.01), respectively. The partial marginal utility of the disability level for increasing inpatient expenses was 433.4 (p < 0.01).

Conclusion: Severe disability levels predict an economic burden on families of respondents at the end of lives. This underscores the urgent necessity for targeted disability-focused interventions to alleviate economic burdens and ensure familial well-being.

Introduction

During the final stages of life, middle-aged and older adults’ demand for medical services increases significantly as they cope with illnesses (1, 2). Middle-aged and older adults1 gradually encounter various disabilities as they age, making them increasingly reliant on the care of others (36). Some middle-aged and older adults may gradually lose their capacity to make critical decisions due to disability (79). The selection of medical care for terminally ill middle-aged and older adults often depends heavily on family members’ support and decision-making involvement (10, 11). However, families may encounter a dilemma when balancing the health needs of their middle-aged and older members against managing financial risks, and without careful consideration, they risk falling into a difficult and undesirable situation. As the global population ages, many families grapple with challenging end-of-life care decisions. Monitoring how families utilize health services during this critical period is crucial for safeguarding familial well-being.

As middle-aged and older adults near the end of their lives, does a disability result in excessive use of medical services, or does the disability hinder their ability to access adequate medical care? Existing studies have yielded insights into how disability influences access to and utilization of emergency and palliative care services. A U.S.-based study revealed that individuals with intellectual disabilities are more likely to receive end-of-life cardiopulmonary resuscitation (CPR), potentially because of lower rates of do-not-resuscitate (DNR) order utilization among this patient population (12). A German study highlighted that palliative care has disproportionately overlooked the needs of disabled individuals approaching the end of life (13). Consequently, there is a lack of consensus regarding whether the utilization of health services by middle-aged and older adults in the end stage of life, which is often characterized by disability, will increase or decrease.

Families and individuals often face information gaps when selecting medical services, with decision-making frequently shaped by economic constraints and cultural norms. For example, notable disparities were found in how residents of Eastern and Western countries engage in medical decision-making (14). In Eastern countries, including China, family members have a notably greater degree of involvement in medical decision-making processes (15). In reality, when confronted with such complex challenges, families seldom make optimal decisions. Research has shown that while financial incentive policies aimed at curbing excessive end-of-life medical care may reduce overutilization, they also risk inadvertently causing underutilization of necessary health care services (16). Nevertheless, analyzing the factors influencing families’ utilization of end-of-life medical services can inform evidence-based policies to mitigate health risks for both patients and their families.

Compared to developed countries, healthcare service utilization for terminal patients in China exhibits distinct comparative features. China’s end-of-life palliative care was initiated relatively late and encounters resource deficiencies of fundamental resources including funding, technology, and talent (17). In the high-income countries, continuity and coordination of care involve healthcare provisions from family to health facility throughout the life-course to provide a range of services (18). In terms of service model, China prioritizes disease treatment and life extension, while the development of comprehensive support services remains underdeveloped. Many other countries stress the integration of ‘holistic care’ and multidimensional service frameworks (19, 20). In terms of policy framework, China’s institutional development of end-of-life care is relatively slow and the standardization degree needs to be improved (21). Developed countries have established mature regulatory frameworks and quality assurance systems (22), underscoring the institutional divide between ‘developing and mature’.

China is experiencing rapid population aging, with 22% of its population projected to be over 60 years old by the end of 2024 (23). A study conducted in China indicated that an extension of lifespan may be accompanied by an increase in disability related to physical and cognitive functioning, particularly among frail older adults who survive with lingering health issues (24). Families typically hold primary decision-making authority over medical care for middle-aged and older members facing end-of-life health challenges (25). Studies have shown that the primary decision-maker in end-of-life care is typically the spouse or adult children (2628). Families often prioritize exhaustive efforts to access and utilize medical services; this poses great economic risks for families and depletes health care resources for society. However, families may also risk underutilization of medical services due to economic constraints. Disagreements between numerous adult children and spouse in family decision-making often result in either the overutilization or underutilization of medical services. The use of medical services by Chinese families before the death of middle-aged and older adults is influenced by various factors.

Currently, global research on end-of-life medical care centres predominantly on addressing medical needs, emergency interventions, and palliative support. Few reports have examined the relationship between the utilization of medical services and factors influencing middle-aged and older adults at the end of their lives. Considering that disability may influence an individual’s medical decision-making, does disability lead to a decrease or increase in their utilization of medical services at the end of life? The evidence on how disability correlates with the utilization of end-of-life medical services can help identify which individuals require attention in their terminal stage, ensuring families’ basic welfare and mitigating economic risks they may face amid emotional distress. This study utilized a set of data from the China Health and Retirement Longitudinal Study (CHARLS) to describe the end-of-life disability status of older adults and its association with medical service utilization.

Methods

Study design and setting

CHARLS is a representative follow-up survey of people aged 45 and above in Chinese Mainland. For respondents who have passed away since their last visit in the fifth round of the survey (2020), a person familiar with their situation will complete the exit questionnaire. The sample from across the country gives the study a certain degree of robustness. This part of database focuses on capturing the utilization of health services and the disability status of adult individuals at the conclusion of their lives. Despite the COVID-19 pandemic during the 2020 data collection period, the mortality rate of China’s population exhibited no significant fluctuation. National Bureau of Statistics data indicate a 2020 death rate of 7.07‰ (9.98 million deaths), while the 2017–2019 period saw rates ranging from 7.06‰ to 7.09‰ (29). The national mortality rate in 2020 remained within this range and exhibited no significant fluctuations. We used the Strengthening the Reporting of Observational Studies in Epidemiology cross-sectional checklist when writing our report.

Participants

This study employed the 2020 exit dataset from the CHARLS database, exclusively available in the 2020 Wave 5 survey. The exit database comprises a total of 770 individuals whose participation ceased due to death. Notably, eight participants were excluded from the analysis due to a lack of disability assessment data. In 2020, COVID-19 was expected to have a specific impact on the causes of death among residents. However, according to the CHARLS survey, only 2 out of 762 residents were hospitalized due to COVID-19. And only 16 residents reported access restrictions on seeking medical treatment as a result of epidemic prevention and control measures. Given this small proportion, we determined that their inclusion would have minimal impact on the results and thus did not exclude these two cases. Ultimately, data from 762 participants were utilized for analysis. The average age was 75.82 ± 10.80 years, and the male-to-female ratio was 1:0.73.

Outcome variables

The measurement of medical service utilization encompassed four key indicators: the frequency of ambulatory medical service usage, the frequency of inpatient medical service usage, the expense of mobile medical services, and the expense of inpatient medical services. Outpatient services were assessed in the last month of life, while inpatient services were evaluated over the preceding year. Supplementary Table S1 presents descriptive statistics for the frequency and expense of medical services among participants during the end-of-life period.

Independent variables

The Katz Index of Independence in Activities of Daily Living (ADL) and the Lawton Instrumental Activities of Daily Living (IADL) Scale have been used in studies as independent indicators for assessing BADL and IADL in Chinese older adults (30, 31). CHARLS 2020 measures the basic activities of daily living (BADLs) and instrumental activities of daily living (IADLs) of individuals in the 3 months prior to death. BADLs include 5 indicators: dressing, showering, eating, getting up, and using the toilet. IADLs also includes 5 indicators: cooking, shopping for groceries, making phone calls, taking medications, and managing money. Responses to each item were categorized into four levels: (1) No difficulty, (2) difficulty but can still perform the task, (3) difficulty and need assistance, and (4) unable to perform the task. The options are points numbered 1–4 in sequence order. The disability level is a comprehensive score calculated via these 10 indicators. Furthermore, it incorporates personal details such as demographic characteristics (sex, age, and chronic diseases), economic level (health insurance, current assets, real estate) and family support (number of offspring, whether having a spouse). The missing demographic information (gender and age) of certain the participants in the sample was supplemented by cross-referencing data from prior years. The number of offspring is operationalized as the number of biological children who were living at the time of data collection.

Data analysis

In this study, a statistical description of the survey subjects’ disability levels in the 3 months preceding their death was conducted. Specifically, proportions were used to delineate the disability rates across 10 daily living ability indicators, whereas the mean ± standard deviation (SD) was used to characterize the average level of disability. GraphPad Prism 8.0 was used to generate a forest plot that illustrates the relationships between the 10 daily living ability indicators and the 4 health service utilization indicators. The values presented in the figure were calculated based on the coefficients obtained from univariate regression analysis, along with their corresponding 95% confidence intervals (CIs). Poisson regression was employed to investigate the relationship between service utilization frequency and its influencing factors. However, given the substantial proportion of zero values observed in ambulatory medical service utilization within this study, both zero-inflated Poisson regression and standard Poisson regression were utilized. Specifically, zero-inflated Poisson regression was applied to analyze the number of ambulatory medical services and inpatient services, with both models incorporating various independent variables. Notably, in the zero-inflated model, only constant terms were included, as no influencing factors were found to predict whether the number of ambulatory medical services utilized was zero. Furthermore, Tobit regression was utilized to analyze ambulatory medical expenses, inpatient expenses, and the associated independent variables. We implemented the interquartile range (IQR) method for robust outlier detection in the sample dataset, followed by systematic sensitivity analysis to validate the stability of our findings. Ultimately, the partial marginal utility (dy/dx) was computed to ascertain the average marginal impact of influencing factors on medical expenses in samples exhibiting actual expenses exceeding zero. All statistical tests were conducted via Stata 15.1. A p value less than 0.05 was considered significant.

Results

Daily living abilities in terminal life

Table 1 outlines the performance of ADLs among older adults during the last 3 months of life. Specifically, over 50% of the older adults retained fully functional independence in BADLs, which included dressing, eating, and using the toilet. Independent showering was achieved by only 41.99% of older adults, whereas 48.82% demonstrated the ability to arise from bed without assistance. Across the spectrum of functional independence—ranging from full autonomy to complete dependency—older adults who experienced difficulties yet managed to complete ADLs independently constituted the smallest subgroup, which was followed in increasing proportion by those requiring assistance, those unable to perform ADLs, and finally those reporting no difficulties at all. The overall activity rating for eating did not exceed 2 points. For the IADLs, over 57% of community-dwelling older adults maintained self-efficacy in making phone calls, taking medications, and managing money. Approximately 40.16% of older adults demonstrated independent proficiency in meal preparation, with a marginally higher proportion (43.83%) retaining functional autonomy in grocery shopping activities. The average of the IADLs score exceeded the average score of the ADLs (diff = −0.715 ± 0.297, p < 0.01).

Table 1
www.frontiersin.org

Table 1. Functional level of BADLs and IADLs among community-dwelling older adults in the final 3 months of life.

Medical utilization in terminal care settings

Figure 1 shows the associations between 10 daily living activities of older adults and medical utilization. Across all the assessed functional domains of daily living, retention of autonomy by middle-aged and older adults demonstrated a statistically significant positive association with ambulatory medical service utilization rates, with effect sizes shown in Figure 1a. As illustrated in Figure 1b, all assessed daily living activities demonstrated positive associations with inpatient service frequency in middle-aged and older adults. Ambulatory expenses were significantly associated exclusively with dressing up and cooking, and there were no discernible correlations with the remaining functional capacity indicators, as shown in Figure 1c. The inpatient service expense was significantly correlated with instrumental or basic activity capacity, except for making telephone calls, taking medication, and managing money, as shown in Figure 1d.

Figure 1
Four-panel chart showing coefficients and confidence intervals for activities related to medical services. Panel (a) illustrates times of ambulatory services with coefficients ranging from 0.05 to 0.27. Panel (b) shows times of inpatient services with coefficients from 0.04 to 0.17. Panel (c) displays expenses of ambulatory services, with coefficients between 892.92 and 3194.51. Panel (d) presents expenses of inpatient services, with coefficients from -281.72 to 10597.11. Activities include managing money, taking medications, and others like showering and cooking. Each activity is represented with different shapes for clarity.

Figure 1. The forest plot illustrates the associations between functional capacity across 10 ADLs and medical utilization patterns among older adults. (a) Correlation Coefficients & 95% CIs: 10 ADLs vs. Times of Ambulatory Medical Services; (b) Correlation Coefficients & 95% CIs: 10 ADLs vs. Times of Inpatient services; (c) Correlation Coefficients & 95% CIs: 10 ADLs vs. Ambulatory Medical Expense; (d) Correlation Coefficients & 95% CIs: 10 ADLs vs. Inpatient Expense.

Regression analysis of medical utilization

The results of the multivariate regression analysis of medical service utilization among older adults at the end of their lives are shown in Table 2. In Model 1, positive predictors included elevated disability level (p < 0.01), female sex (p < 0.05), owning properties (p < 0.01) and increased number of children (p < 0.01). Model 2 indicated that a high disability level (p < 0.01), health insurance coverage (p < 0.01), substantial current assets (p < 0.01), and having a spouse (p < 0.01) were associated with high utilization of inpatient services. In Model 2, the coefficient for current assets is statistically significant, but its value is extremely small, at just −0.00000245. Model 3 revealed that having chronic diseases (p < 0.05) and health insurance coverage (p < 0.05) were associated with high ambulatory medical expenses. Model 4 indicated that high inpatient expenses were significantly associated with elevated disability levels (p < 0.01), chronic diseases (p < 0.01), and substantial current assets (p < 0.05), whereas older age (p < 0.01) resulted in decreased inpatient expenses. Disability level is intimately linked to both ambulatory medical services and inpatient services utilization, as well as inpatient expenses, and serves as a pivotal factor influencing older adults’ utilization of medical services during the terminal stage of their lives. After sensitivity testing, the association between chronic disease status and ambulatory medical expense in Model 3 was no longer statistically significant (p < 0.05).

Table 2
www.frontiersin.org

Table 2. Multivariate regression analysis of medical utilization among older adults in the terminal stage of life.

Partial marginal utility

This study evaluated the partial marginal utility for variables with statistical significance. Table 3 indicates that the marginal contributions of chronic diseases and medical insurance to ambulatory medical service costs were 2005.6 (p < 0.05) and 4256.4 (p < 0.01), respectively. These contribution rates are very high. The marginal contributions of disability level, age, chronic diseases, and cash to inpatient expenses were 427.5 (p < 0.01), −754.3 (p < 0.01), 15460.4 (p < 0.01), and 0.1 (p < 0.05), respectively. The contribution rate of age was negative, which means that as age increases, the increase in inpatient expenses becomes negative, indicating a decrease in expenses.

Table 3
www.frontiersin.org

Table 3. Partial marginal utility of important factors.

Discussion

Many middle-aged and older adults encounter varying degrees of disability preceding their death. The severity of a disability directly correlates with health outcomes, which can lead to increased demand for health care services. However, disability may also heighten the risk of exclusion from medical decision-making processes. This study seeks to investigate the use of healthcare services by Chinese families in individual end-of-life scenarios and its link to disability. This study revealed that end-of-life disability is intricately linked to health care utilization, with distinct patterns observed between outpatient and inpatient care services.

In ambulatory medical services, both 10 ADLs and composite disability levels among middle-aged and older adults demonstrate a dose–response relationship with health care utilization frequency. This association likely stems from China’s enhanced health care accessibility and optimized service delivery networks established through recent health system reforms. China’s National Health Commission reports that over 80% of residents have access to health care within 15 min (32). Families with patients can easily access ambulatory medical services. Among ADLs, only difficulties in dressing and cooking demonstrated a statistically significant association with higher outpatient expenses, whereas no such relationship was observed for other ADL domains. Consequently, the overall ADL level showed no statistically significant correlation with elevated outpatient expenses. This contrasts with data reported by other countries. A US study indicates that the overall cost of end-of-life outpatient care for cancer patients is rising (33). Given the study’s reliance on older family members’ recall of medical expenses, reported ambulatory medical expenses may exhibit recall bias, as lower payment amounts could increase the likelihood of underreporting.

Moreover‌, higher levels of disability are associated with increased utilization of end-of-life inpatient services and corresponding expenses. A previous study revealed that higher estimates that account for spending over the 12 months leading up to death more accurately reflect the full cost of a patient’s last year of life (34). This high expense likely arises from a misalignment between the services offered and the patient’s stated preferences (35). The progression of terminal illness in aging populations often necessitates a transition from ambulatory care to hospitalization due to acute care requirements beyond ambulatory service capabilities. The severity of disability is correlated with increased hospitalization frequency, potentially exacerbating health care expenditure burdens due to unmet communication needs. Health care policies that address financial risks associated with end-of-life care should prioritize forecasting inpatient expenditure patterns among middle-aged and older adults with severe disabilities to ensure equitable resource distribution. Previous research has confirmed that medical resource use by individuals tends to rise in the period preceding death (34, 36). A US study reveals that the principal increase lies in hospital service utilization (37). Studies from the US and Japan, respectively, indicate that serious illnesses and functional impairments drive the high cost of end-of-life care (38, 39). This study also corroborates this point. Regarding the high cost of end-of-life medical care, previous research indicates that either family intervention prior to an individual’s death or institutional end-of-life care can help reduce medical expenses and control costs (40). This service holds significant social value for China, a nation currently facing a deficit in palliative care services. The healthcare system must emphasize developing end-of-life care services tailored to Chinese families—with hospitals providing technical support, communities serving as operational hubs, and families forming the integral foundation for comprehensive end-of-life medical intervention services.

Demographic factors such as sex and age in older populations in the terminal life are distinctly associated with health care utilization patterns, with female patients exhibiting significantly higher ambulatory care rates than their male counterparts. This disparity may be attributable to gendered disparities in preferences for specific modalities of health care delivery. In China, females and older adults are more likely to choose local, lower-quality community health service institutions (41). The finding indicates that women exhibit a notable preference for the accessibility of medical services. This research reveals an inverse relationship between advancing age and hospitalization expenditure metrics. Previous studies established that middle-aged and older adults exhibit a heightened propensity to report discordant treatment decisions or opt for treatment de-escalation as they advance into more senior age categories (42, 43). Expense of inpatient service decreases with increasing age among older adults, which is consistent with documented age-related health care utilization patterns.

Terminal-stage middle-aged and older adults with chronic conditions demonstrate significantly higher outpatient and inpatient costs, coupled with substantial marginal cost contributions. Chronic disease is a significant determinant of recurrent medical service utilization in both emergency departments and inpatient care settings (44, 45). Obviously, this situation is more prominent at the end of life. The existing literature confirms heightened health care service utilization during the terminal year of life among patients with chronic diseases, with the majority of aggregate health care expenditures attributable to inpatient care services (46, 47).

The expense of outpatient services by medically insured middle-aged and older adults approaching the end of their life has increased, whereas inpatient service use has concomitantly increased. This discrepancy arises because, under China’s basic medical security system, outpatient payments are predominantly based on fee-for-service (FFS) models, whereas inpatient services are reimbursed using Diagnosis-Related Groups (DRGs). Consequently, in outpatient settings, insured residents may exhibit a higher propensity to utilize services due to reduced out-of-pocket costs associated with coverage (48). Concurrent with the expansion of China’s DRG-based hospitalization payment reforms, health care providers are incentivized to fragment continuous inpatient episodes into multiple admission events as a cost-containment strategy (49). Ambulatory care settings may absorb cost burdens previously borne by inpatient services, as evidenced by the migration of treatment and pharmaceutical revenue streams from inpatient to outpatient departments (50, 51). This provides a plausible mechanism for elevated end-of-life outpatient costs among insured middle-aged and older adults. Previous research has substantiated the substitution effect between outpatient and inpatient service utilization, demonstrating that patients in regions with higher out-of-pocket costs for outpatient care exhibit a reduced likelihood of seeking outpatient treatment and an increased tendency to opt for more expensive hospitalization services (52).

In this study, no statistically significant correlation was observed between spousal presence and medical service utilization. This may be attributed to the fact that the majority of research subjects are individuals aged 60 years and older. Confucian family norms, which are deeply embedded in Chinese cultural traditions, significantly influence end-of-life care decision-making processes and service utilization patterns among older populations, which contrasts sharply with the individualistic care paradigms that characterize Western health care systems (53). Therefore, in China, the choice of medical services for terminally ill parents largely depends on their children’s decisions. The research indicates that, regardless of whether one child or multiple children are involved, there is no difference in the utilization of end-of-life hospitalization medical services among older adults. However, the more children there are, the more often ambulatory medical services are utilized. This observation may stem from the availability of robust familial support networks, which enable the effective utilization of ambulatory care resources for managing less severe health conditions. In cases of severe health issues requiring hospitalization, the final decision-making authority rests with physicians rather than family members.

This study draws on cross-sectional data from a nationwide sample of end-of-life disability assessments in China, showcasing methodological strength with public health relevance. The research design investigates how difficulties in ADLs influences medical service utilization among end-of-life patients. Sampling exhibits representativeness, while statistical methods employ multivariate models to control for confounding factors, ensuring robustness in causal inference. Though cross-sectional designs inherently limit time-series causality verification, sensitivity analyzes strengthen result credibility.

Limitations

The limitations of this study mainly stem from the acquisition of data and methodology. Because the sample is mostly composed of Chinese individuals, the results may not be generalizable to other racial and ethnic groups. The collected data come from the memory of family members of older adults, so there is inevitably a certain degree of recall bias. Although external environmental factors, such as the service support provided by local medical institutions, may still influence the utilization of end-of-life medical services, two key points must be highlighted. First, China’s medical industry adheres to a nationally unified model, operating as a public service sector led by the government. Second, due to data constraints, the model does not incorporate information on variations in the number of industries within the specific external environments of the research subjects. This study employed a cross-sectional research design, and the observed associations between variables must be interpreted with caution, as the methodological approach precludes the establishment of causal relationships. Finally, medical expenses remained unadjusted for inflation or regional differences, owing to the structure of the healthcare service system and the prevailing inflation level.

Conclusion

Disability exerts differential influences on both ambulatory and inpatient medical service utilization among terminal middle-aged and older populations, with variations observed in utilization frequency and expenditure levels. This study demonstrated that Chinese households significantly increase medical service utilization in response to functional disabilities in dying family members. Health care policy development should prioritize end-of-life care for severely impaired middle-aged and older adults, as their conditions often correlate with heightened health care demands at the family level.

To proactively address population aging in China, we advocate institutionalizing the development of China’s palliative care service system. This includes establishing comprehensive home-based care services and expanding basic medical insurance coverage for palliative care to enhance quality of life and welfare for terminally ill individuals and their families. A critical avenue for future research lies in defining family medical intervention needs for terminally disabled individuals through disability assessment—an important dimension requiring continued exploration.

Data availability statement

Publicly available datasets were analyzed in this study. This data can be found here: http://charls.pku.edu.cn/en/.

Ethics statement

This round of investigation received approval from the Biomedical Ethics Committee of Peking University, with the approval number being: IRB00001052-11015. Each respondent who agreed to participate was required to sign an informed consent form.

Author contributions

XH: Funding acquisition, Conceptualization, Writing – review & editing, Writing – original draft. WL: Writing – original draft, Methodology, Visualization. QP: Writing – original draft, Methodology, Funding acquisition. MY: Writing – original draft, Methodology. LZ: Writing – original draft, Validation, Conceptualization. CM: Formal analysis, Conceptualization, Writing – review & editing, Supervision. YZ: Project administration, Formal analysis, Writing – original draft, Supervision, Writing – review & editing.

Funding

The author(s) declare that financial support was received for the research and/or publication of this article. This work was supported by the General Project of Philosophy and Social Science Research in Colleges and Universities of Jiangsu Province (2023SJYB1116), Medical Scientific Research Project of Jiangsu Commission of Health (Z2021020), and National Social Science Foundation of China (21XGL018) funded this research. QP and MY were funded by College Student Innovation and Entrepreneurship Training Program Project (202310313057Z).

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Generative AI statement

The authors declare that no Gen AI was used in the creation of this manuscript.

Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpubh.2025.1650570/full#supplementary-material

Footnotes

1. ^The National Bureau of Statistics of China categorizes the age range of 45–59 as the middle-aged stage, and those aged 60 and above as older adults.

References

1. Hanratty, B., Lowson, E., Grande, G., Payne, S., Addington-Hall, J., Valtorta, N., et al., Transitions at the end of life for older adults – Patient, carer and professional perspectives: A mixed-methods study. Southampton (UK): NIHR Journals Library. (2014).

Google Scholar

2. Velazquez, J, Castañeda-Avila, MA, Gierbolini-Bermúdez, A, Ramos-Fernández, MR, and Ortiz-Ortiz, KJ. High-intensity end-of-life care among young and middle-aged Hispanic adults with Cancer in Puerto Rico. Med Care. (2025) 63:193–201. doi: 10.1097/MLR.0000000000002115

PubMed Abstract | Crossref Full Text | Google Scholar

3. Abdi, S, Spann, A, Borilovic, J, de Witte, L, and Hawley, M. Understanding the care and support needs of older people: a scoping review and categorisation using the WHO international classification of functioning, disability and health framework (ICF). BMC Geriatr. (2019) 19:195. doi: 10.1186/s12877-019-1189-9

PubMed Abstract | Crossref Full Text | Google Scholar

4. Wee, LE, Koh, GCH, Auyong, LS, Cheong, ALK, Myo, TT, Lin, J, et al. The medical, functional and social challenges faced by older adults with intellectual disability. Ann Acad Med Singap. (2013) 42:338–49. doi: 10.47102/annals-acadmedsg.V42N7p338

PubMed Abstract | Crossref Full Text | Google Scholar

5. Jain, U, and Sheehan, CM. Comparative analysis of gender and age patterns in informal care received among disabled older adults: a cross-National Study across the United States, Mexico, China, and Indonesia. J Cross Cult Gerontol. (2023) 38:389–415. doi: 10.1007/s10823-023-09488-0

PubMed Abstract | Crossref Full Text | Google Scholar

6. Patano, A, Wyatt, G, and Lehto, R. Palliative and end-of-life family caregiving in rural areas: a scoping review of social determinants of health and emotional well-being. J Palliat Med. (2024) 27:1229–46. doi: 10.1089/jpm.2023.0566

PubMed Abstract | Crossref Full Text | Google Scholar

7. Torke, AM, Sachs, GA, Helft, PR, Montz, K, Hui, SL, Slaven, JE, et al. Scope and outcomes of surrogate decision making among hospitalized older adults. JAMA Intern Med. (2014) 174:370–7. doi: 10.1001/jamainternmed.2013.13315

PubMed Abstract | Crossref Full Text | Google Scholar

8. Shin, DW, Cho, J, Roter, DL, Kim, SY, Park, JH, Yang, HK, et al. Patient's cognitive function and attitudes towards family involvement in Cancer treatment decision making: a patient-family caregiver dyadic analysis. Cancer Res Treat. (2018) 50:681–90. doi: 10.4143/crt.2017.201

PubMed Abstract | Crossref Full Text | Google Scholar

9. Tang, G, Lei, J, Zhang, Q, Zeng, H, Liu, Y, and Yan, P. Influencing factors of early activity in patients with acute ischemic stroke based on social ecological model: a qualitative study. Zhong Nan Da Xue Xue Bao Yi Xue Ban. (2023) 48:895–902. doi: 10.11817/j.issn.1672-7347.2023.230003

PubMed Abstract | Crossref Full Text | Google Scholar

10. Tseng, YP, Huang, LH, Hsu, LL, Huang, TH, Hsieh, SI, Chi, SF, et al. The family surrogates' psychological experience of making a do-not-resuscitate decision for older relatives: a qualitative study. Contemp Nurse. (2018) 54:195–207. doi: 10.1080/10376178.2018.1478232

PubMed Abstract | Crossref Full Text | Google Scholar

11. Xu, Z, Cheng, K, Wang, K, and Gui, L. Experiences of middle-aged individuals with lower extremity amputation caused by diabetic foot ulcer after disability in China: a qualitative study. Nurs Open. (2024) 11:e2213. doi: 10.1002/nop2.2213

PubMed Abstract | Crossref Full Text | Google Scholar

12. Viola, M, Braun, RT, Luth, EA, Pan, CX, Lief, L, Gang, J, et al. Associations of intellectual disability with cardiopulmonary resuscitation and endotracheal intubation at end of life. J Palliat Med. (2022) 25:1268–72. doi: 10.1089/jpm.2021.0584

PubMed Abstract | Crossref Full Text | Google Scholar

13. Stienstra, D, and Chochinov, HM. Vulnerability, disability, and palliative end-of-life care. J Palliat Care. (2006) 22:166–74. doi: 10.1177/082585970602200307

PubMed Abstract | Crossref Full Text | Google Scholar

14. Scherr, S, Reifegerste, D, Arendt, F, van Weert, JCM, and Alden, DL. Family involvement in medical decision making in Europe and the United States: a replication and extension in five countries. Soc Sci Med. (2022) 301:114932. doi: 10.1016/j.socscimed.2022.114932

PubMed Abstract | Crossref Full Text | Google Scholar

15. Ivo, K, Younsuck, K, Ho, YY, Sang-Yeon, S, Seog, HD, Hyunah, B, et al. A survey of the perspectives of patients who are seriously ill regarding end-of-life decisions in some medical institutions of Korea. China and Japan J Med Ethics. (2012) 38:310–6. doi: 10.1136/medethics-2011-100153

PubMed Abstract | Crossref Full Text | Google Scholar

16. Nicholas, LH, Fischer, SM, Arbaje, AI, Perraillon, MC, Jones, CD, and Polsky, D. Medicare-covered services near the end of life in Medicare advantage vs traditional Medicare. JAMA Health Forum. (2024) 5:e241777. doi: 10.1001/jamahealthforum.2024.1777

PubMed Abstract | Crossref Full Text | Google Scholar

17. Lu, J, and Du, T. International community palliative care policies and practices and their implications for China. Popul Health. (2024) 10:17–20.

Google Scholar

18. Khatri, R, Endalamaw, A, Erku, D, Wolka, E, Nigatu, F, Zewdie, A, et al. Continuity and care coordination of primary health care: a scoping review. BMC Health Serv Res. (2023) 23:750. doi: 10.1186/s12913-023-09718-8

PubMed Abstract | Crossref Full Text | Google Scholar

19. Nishimura, M, Dening, KH, Sampson, EL, de Oliveira Vidal, EI, de Abreu, WC, Kaasalainen, S, et al. Cross-cultural conceptualization of a good end of life with dementia: a qualitative study. BMC Palliat Care. (2022) 21:106. doi: 10.1186/s12904-022-00982-9

PubMed Abstract | Crossref Full Text | Google Scholar

20. Lohman, D, Abidjanova, N, Amiryan, D, Gherman, L, Kiknadze, N, Mayilyan, Z, et al. Progress update: development of palliative care from 2017 to 2020 in five countries in Eurasia. J Pain Symptom Manag. (2022) 64:100–9. doi: 10.1016/j.jpainsymman.2022.04.177

PubMed Abstract | Crossref Full Text | Google Scholar

21. Lu, J, and Xu, S. The historical development, institutionalization difficulties, and National Policy Framework of China's palliative care service system. Social Constr. (2024) 11:3–22.

Google Scholar

22. Olsson, MM, Windsor, C, Chambers, S, and Green, TL. A scoping review of end-of-life communication in international palliative care guidelines for acute care settings. J Pain Symptom Manag. (2021) 62:425–437.e2. doi: 10.1016/j.jpainsymman.2020.11.032

PubMed Abstract | Crossref Full Text | Google Scholar

23. National Bureau of Statistics. Statistical Bulletin on National Economic and Social Development of the People's Republic of China in 2024. Available online at: https://www.stats.gov.cn/sj/zxfb/202502/t20250228_1958817.html (accessed Feb 28, 2025).

Google Scholar

24. Zeng, Y, Feng, Q, Hesketh, T, Christensen, K, and Vaupel, JW. Survival, disabilities in activities of daily living, and physical and cognitive functioning among the oldest-old in China: a cohort study. Lancet. (2017) 389:1619–29. doi: 10.1016/S0140-6736(17)30548-2

PubMed Abstract | Crossref Full Text | Google Scholar

25. Liu, X, Humphris, G, Luo, A, Yang, M, Yan, J, Huang, S, et al. Family-clinician shared decision making in intensive care units: cluster randomized trial in China. Patient Educ Couns. (2022) 105:1532–8. doi: 10.1016/j.pec.2021.10.004

PubMed Abstract | Crossref Full Text | Google Scholar

26. Gul, S, Turkman, YE, Bakitas, MA, and Dionne-Odom, JN. Surrogates' perceptions of service quality while making decisions for ICU patients. West J Nurs Res. (2019) 41:1370–84. doi: 10.1177/0193945918820098

PubMed Abstract | Crossref Full Text | Google Scholar

27. Gu, X, Chen, M, Liu, M, Zhang, Z, and Cheng, W. End-of-life decision-making of terminally ill cancer patients in a tertiary cancer center in Shanghai, China. Support Care Cancer. (2016) 24:2209–15. doi: 10.1007/s00520-015-3017-x

PubMed Abstract | Crossref Full Text | Google Scholar

28. Yan, T, and Yang, M. Family participation in geriatric decision-making: marginalization of older patients' autonomy in Chinese outpatient consultation. Soc Sci Med. (2025) 372:117908. doi: 10.1016/j.socscimed.2025.117908

PubMed Abstract | Crossref Full Text | Google Scholar

29. National Bureau of Statistics. National data (2020). Available online at: https://data.stats.gov.cn/english/easyquery.htm?cn=C01 (accessed Sep 1, 2025).

Google Scholar

30. Zhang, Y, Xiong, Y, Yu, Q, Shen, S, Chen, L, and Lei, X. The activity of daily living (ADL) subgroups and health impairment among Chinese elderly: a latent profile analysis. BMC Geriatr. (2021) 21:30. doi: 10.1186/s12877-020-01986-x

PubMed Abstract | Crossref Full Text | Google Scholar

31. Liu, H, Ma, Y, Lin, L, Sun, Z, Li, Z, and Jiang, X. Association between activities of daily living and depressive symptoms among older adults in China: evidence from the CHARLS. Front Public Health. (2023) 11:1249208. doi: 10.3389/fpubh.2023.1249208

PubMed Abstract | Crossref Full Text | Google Scholar

32. Xinhua News Agency. Li Bin: Over 80% of Residents Have Access to Healthcare Within 15 Minutes. (2017). Available online at: http://www.nhc.gov.cn/xcs/sjdtpxw/201710/d25a52d908b64ba492dcd212b5a91b86.shtml.

Google Scholar

33. Mantz, CA, Yashar, CM, Bajaj, GK, and Sandler, HM. Recent trends in Medicare payments for outpatient Cancer Care at the end of life. Int J Radiat Oncol Biol Phys. (2023) 116:729–35. doi: 10.1016/j.ijrobp.2023.01.005

PubMed Abstract | Crossref Full Text | Google Scholar

34. Duncan, I, Ahmed, T, Dove, H, and Maxwell, TL. Medicare cost at end of life. Am J Hosp Palliat Care. (2019) 36:705–10. doi: 10.1177/1049909119836204

PubMed Abstract | Crossref Full Text | Google Scholar

35. Ankuda, CK, and Meier, DE. Predictors of reliably high-value end-of-life care. Curr Opin Support Palliat Care. (2018) 12:460–5. doi: 10.1097/SPC.0000000000000392

PubMed Abstract | Crossref Full Text | Google Scholar

36. Mariotto, AB, Enewold, L, Zhao, J, Zeruto, CA, and Yabroff, KR. Medical care costs associated with Cancer survivorship in the United States. Cancer Epidemiol Biomarkers Prev. (2020) 29:1304–12. doi: 10.1158/1055-9965.EPI-19-1534

PubMed Abstract | Crossref Full Text | Google Scholar

37. Mukamel, DB, Bajorska, A, and Temkin-Greener, H. Health care services utilization at the end of life in a managed care program integrating acute and long-term care. Med Care. (2002) 40:1136–48. doi: 10.1097/00005650-200212000-00002

PubMed Abstract | Crossref Full Text | Google Scholar

38. Hogan, C, Lunney, J, Gabel, J, and Lynn, J. Medicare beneficiaries' costs of care in the last year of life. Health Aff (Millwood). (2001) 20:188–95. doi: 10.1377/hlthaff.20.4.188

Crossref Full Text | Google Scholar

39. Mandai, S, Koide, T, Fujiki, T, Mori, Y, Ando, F, Susa, K, et al. Association of Admission Functional Status and Body Mass Index with mortality in patients receiving chronic Dialysis: a Nationwide observational cohort study. JMA J. (2023) 6:404–13. doi: 10.31662/jmaj.2022-0188

PubMed Abstract | Crossref Full Text | Google Scholar

40. Poeck, J, Meissner, F, Ditscheid, B, Krause, M, Wedding, U, Gebel, C, et al. Utilization and quality of primary and specialized palliative homecare in nursing home residents vs. community dwellers: a claims data analysis. BMC Palliat Care. (2025) 24:3. doi: 10.1186/s12904-024-01631-z

PubMed Abstract | Crossref Full Text | Google Scholar

41. Yang, S, Liu, L, Wang, C, Lo, K, and Wang, D. Elderly people's preferences for healthcare facilities in Shanghai: gender features and influencing factor analysis. BMC Public Health. (2023) 23:356. doi: 10.1186/s12889-023-15279-6

PubMed Abstract | Crossref Full Text | Google Scholar

42. Hunt, KJ, Shlomo, N, and Addington-Hall, J. End-of-life care and preferences for place of death among the oldest old: results of a population-based survey using VOICES-short form. J Palliat Med. (2014) 17:176–82. doi: 10.1089/jpm.2013.0385

PubMed Abstract | Crossref Full Text | Google Scholar

43. Minami, CA, Dey, T, Chen, YJ, Freedman, RA, Lorentzen, EH, King, TA, et al. Regional variation in deescalated therapy in older adults with early-stage breast Cancer. JAMA Netw Open. (2024) 7:e2441152. doi: 10.1001/jamanetworkopen.2024.41152

PubMed Abstract | Crossref Full Text | Google Scholar

44. Søvsø, MB, Kløjgaard, TA, Hansen, PA, and Christensen, EF. Repeated ambulance use is associated with chronic diseases - a population-based historic cohort study of patients' symptoms and diagnoses. Scand J Trauma Resusc Emerg Med. (2019) 27:46. doi: 10.1186/s13049-019-0624-4

PubMed Abstract | Crossref Full Text | Google Scholar

45. Bakthavatsalu, B, Walshe, C, and Simpson, J. The experience of hospitalization in people with advanced chronic obstructive pulmonary disease: a qualitative, phenomenological study. Chronic Illn. (2023) 19:339–53. doi: 10.1177/17423953211073580

PubMed Abstract | Crossref Full Text | Google Scholar

46. Aamodt, WW, Sun, C, Dahodwala, N, Elser, H, Schneider, ALC, Farrar, JT, et al. End-of-life health care service use and cost among Medicare decedents with neurodegenerative diseases. Neurology. (2024) 103:e209925. doi: 10.1212/WNL.0000000000209925

PubMed Abstract | Crossref Full Text | Google Scholar

47. Das, D, Ali, M, Hussain, IA, Ingram, JTN, Johnstone, RS, Lopes, JJ, et al. What do we know about patients' perspectives and expectations relating to palliative and end-of-life care in advanced liver disease? A systematic review of qualitative literature using ENTREQ guidelines. BMJ Support Palliat Care. (2021) 14:e68–77. doi: 10.1136/bmjspcare-2021-003057

Crossref Full Text | Google Scholar

48. Yuan, H, Han, J, and Luo, R. The moral dilemma of healthcare service utilization: a perspective from the consolidation of urban and rural resident health insurance policy in China. Health Econ Rev. (2025) 15:10. doi: 10.1186/s13561-025-00591-1

PubMed Abstract | Crossref Full Text | Google Scholar

49. Meng, Z, Hui, W, Cai, Y, Liu, J, and Wu, H. The effects of DRGs-based payment compared with cost-based payment on inpatient healthcare utilization: a systematic review and meta-analysis. Health Policy. (2020) 124:359–67. doi: 10.1016/j.healthpol.2020.01.007

PubMed Abstract | Crossref Full Text | Google Scholar

50. Zheng, B, and Wei, WA. A quarter-century evolution of China's healthcare reimbursement system: Progress, challenges, and future trajectories. Chin Soc Secur Rev. (2024) 8:75–89.

Google Scholar

51. Wang, Z. Synergistic policy dynamics between healthcare pricing reforms and medical insurance reimbursement mechanisms. Soc Policy Res. (2025) 1:56–69+133. doi: 10.19506/j.cnki.cn10-1428/d.2025.01.004

Crossref Full Text | Google Scholar

52. Zhu, X, Mahal, A, Tang, S, and McPake, B. A Chinese conundrum: does higher insurance coverage for hospitalization reduce financial protection for the patients who most need it? Health Policy Plan. (2025) 40:287–99. doi: 10.1093/heapol/czae108

PubMed Abstract | Crossref Full Text | Google Scholar

53. Pun, J, Chow, JCH, Fok, L, and Cheung, KM. Role of patients' family members in end-of-life communication: an integrative review. BMJ Open. (2023) 13:e067304. doi: 10.1136/bmjopen-2022-067304

PubMed Abstract | Crossref Full Text | Google Scholar

Keywords: end of life, activities of daily living, medical services, middle-aged and older adults, Poisson regression, Tobit regression

Citation: Huang X, Liu W, Pan Q, Yan M, Zhu L, Miao C and Zhao Y (2025) The impact of end-of-life disability level on middle-aged and older adults’ utilization of medical services. Front. Public Health. 13:1650570. doi: 10.3389/fpubh.2025.1650570

Received: 20 June 2025; Accepted: 29 September 2025;
Published: 23 October 2025.

Edited by:

Chao Ma, Southeast University, China

Reviewed by:

Valentin Marian Antohi, Dunarea de Jos University, Romania
Carsten Weerth, FOM University of Applied Sciences for Economics and Management, Germany
Somayeh Heydari, Ahvaz Jundishapur University of Medical Sciences, Iran
Xue Zhou, Mudanjiang Medical University, China

Copyright © 2025 Huang, Liu, Pan, Yan, Zhu, Miao and Zhao. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Yun Zhao, Y3l6aGFveXVuQDEyNi5jb20=; Chunxia Miao, bWlhb2NodW54aWExOTc4QDE2My5jb20=

These authors share first authorship

Yahveth Cantero-Fortiz, orcid.org/0000-0002-7836-4723

Mercè Boada, orcid.org/0000-0003-2617-3009

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.