Factors affecting acceptance of palliative care in mainland China: a national cross-sectional study

Zhang, Xinyue; Zhang, Xun; Li, Yiqi; Chen, Tianle; Wang, Yinlin; Siow, Lixuen; Wang, Yujia; Ming, Wai‐Kit; Sun, Xia; Wu, Yibo

doi:10.1016/s1470-2045(22)00402-8

Cited by 9 publications

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“…Hospice care is generally lower in developing countries and is more influenced by economics, education, and national policies (3). In China, the aging population has led to greater demand for hospice care services (5). However, the development of hospice care progresses very slowly and the supply of hospice care is limited in Mainland China, while hospice care services are widely provided in Western countries.…”

Section: Introductionmentioning

confidence: 99%

What are the acceptances and associated influences of hospice care in Mainland China? A national cross-sectional study

Zhang

et al. 2022

Front. Public Health

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BackgroundChina ranks 53rd out of 81 countries in the Quality of Death Index for 2021. Although hospice care demand is increasing, the progress remains slow. It is of great significance to explore the acceptances and associated influencing factors of hospice care.MethodsA cross-sectional survey by quota sampling was conducted in China from July 10th to September 15th, 2021. We collected demographic data and hospice care acceptance. A stepwise linear regression analysis was used.ResultsThis survey contained 11,031 valid questionnaire results to investigate the hospice care acceptance. It was found that individuals with undergraduate or above (β = 0.04), more properties [2 (β = 0.02), 3 (β = 0.01)], and higher reimbursement types of medical insurance [employee health insurance and commercial health (β = 0.03), government insurance (β = 0.04)] had higher hospice acceptance willingness, while males (β = −0.02) were less willing to accept than females. Psychological conditions [mild anxiety (β = 0.03), moderate anxiety (β = 0.01), moderate stress (β = 0.05), and severe stress (β = 0.06)] also played an important role. The Self-Management Scale (SHMS) (β = 0.12), EuroQol Five Dimensions Questionnaire (EQ-5D) (β = 0.05), EuroQol Visual Analog Scale (EQ-VAS) (β = 0.21), Short-Form Family Health Scale (FHS-SF) (β = 0.12), higher scores of the Short-Form Health Literacy Instrument (HLS-SF12) (β = 0.16), and Perceived Social Support Scale (PSSS) (β = 0.10) also contributed. Gender subgroup showed that in the male group, age, highest educational level, marital status, number of properties, whether having children, psychological conditions, the SHMS, EQ-5D, EQ-VAS, HLS-SF12, and PSSS showed significant difference. Urban and rural subgroups showed that age, highest educational level, number of properties, whether having chronic disease or psychological conditions, the SHMS, EQ-VAS, HLS-SF12, and PSSS were contributing factors in rural areas.ConclusionThe average score of acceptance of hospice care was 65.02 points. Gender, house, anxiety, pressure, social support, and health literacy were the main influencing factors on residents' attitudes.

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Section: Introductionmentioning

confidence: 99%

What are the acceptances and associated influences of hospice care in Mainland China? A national cross-sectional study

Zhang

et al. 2022

Front. Public Health

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“…Social support is the support and assistance individuals obtain from social groups through interactions with others in their social relationships (including family, friends, teachers, colleagues, and the corresponding social security departments) [ 31 ]. Social support can influence people’s satisfaction, attitudes, and psychological statuses [ 32 , 33 ]. Some studies have shown that college students face many challenges in online learning, which can negatively affect their attitudes toward online learning [ 34 ].…”

Section: Introductionmentioning

confidence: 99%

College Students’ Degree of Support for Online Learning during the COVID-19 Pandemic and Associated Factors: A Cross-Sectional Study

Huang

Deng

et al. 2022

IJERPH

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Background: Educational institutions worldwide have experienced the suspension of offline teaching activities in favor of online teaching due to the outbreak of the COVID-19 pandemic. However, few studies have focused on the degree of support for online learning among college students in mainland China. Therefore, the aim of this study was to investigate the degree of support for online learning among Chinese college students during the epidemic and whether depression, loneliness, family communication, and social support were associated factors. Methods: A questionnaire was used to collect cross-sectional data from 9319 college students in mainland China, and a structural equation model was analyzed. Results: The results of the study showed high degrees of support for online learning among Chinese college students during the COVID-19 pandemic, with more than half expressing support. The SEM (Structural Equation Modeling) results showed that depression had a negative and significant effect on college students’ support for online learning (β = −0.07; p < 0.001); family communication had a positive and significant effect on college students’ support for online learning (β = 0.09; p < 0.001); social support had a positive and significant effect on college students’ support for online learning (β = 0.11; p < 0.001). Conclusions: Social support and family communication can alleviate the negative psychological status of college students, and depression plays a mediating role in the effect of social support and family communication on college students’ degree of support for online learning. In addition, a significant chain-mediating effect was found of family communication, loneliness, and depression between social support and college students’ degree of support for online learning. Government and education institutions must focus on college students’ mental health issues and consider family interventions and general support that college students require.

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“…(Weiss-Laxer et al, 2020). Because members support and nurture each other at all stages of life in ways that other systems may not, families have unparalleled influence and resources to maintain health, prevent disease and predictive the attitudes of people towards palliative and hospice care (Medicine Io, Council NR, 2011;Robinson et al, 2017;Zhang et al, 2022). For most older adults, the family is the central aspect of the social environment (Logan and Spitze, 1996).…”

Section: Introductionmentioning

confidence: 99%

“…Family health is “a resource at the level of the family unit that develops from the intersection of the health of each family member, their interactions and capacities, as well as the family’s physical, social, emotional, economic, and medical resources.” ( Weiss-Laxer et al, 2020 ). Because members support and nurture each other at all stages of life in ways that other systems may not, families have unparalleled influence and resources to maintain health, prevent disease and predictive the attitudes of people towards palliative and hospice care ( Medicine Io, Council NR, 2011 ; Robinson et al, 2017 ; Zhang et al, 2022 ). For most older adults, the family is the central aspect of the social environment ( Logan and Spitze, 1996 ).…”

Section: Introductionmentioning

confidence: 99%

Can smartphone use affect chronic disease self-management among Chinese middle-aged and older adults? A moderated mediation model

et al. 2022

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IntroductionChronic disease self-management is influenced by many factors. Previous studies have linked patients’ media use with chronic disease self-management, but the underlying mechanisms of this relationship are less understood.ObjectivesThe purpose of this study is to explore the mediating role of family health (FH) between frequency of smartphone use (FOSU) and self-management behaviors among middle-aged and older patients with chronic diseases (SBAMAOPWCD) through a moderated mediation model, and whether this indirect relationship is modified by the solitary status of middle-aged and older Chinese patients with chronic disease.MethodsSurveys were collected from 1,424 (N = 1,424; age > 45) middle-aged and older with one or more chronic conditions in China on self-reports of FOSU, FH and Chronic disease self-management behaviors were used to examine the moderated mediation model.ResultsThe results showed that the FOSU was significantly and positively associated with SBAMAOPWCD (β = 0.220, p < 0.001; β = 0.170, p < 0.001; β = 0.167, p < 0.001; β = 0.158, p < 0.001); The Family health resources (FHR) dimension of FH and the Family external social supports (FESS) dimension mediated the relationship between the FOSU and SBAMAOPWCD (β = −0.0758, CI: −0.1402, −0.0236; β = 0.0721, CI: 0.0141, 0.1458), Among them, the FHR dimension mediated mainly among FOSU, exercise and cognitive symptom management practices (CSMP; β = −0.0344, CI: −0.0652, −0.0102; β = −0.0401, CI: −0.0725, −0.0138), the FESS dimension of the FH mediated the relationship between the FOSU and communication with physicians (CWP; β = 0.0376, CI: 0.0116, 0.0705); Solitary state played a moderating role in the relationship between FHR dimension and SBAMAOPWCD (live alone β = −0.2395, CI: −0.4574, −0.0661; not live-alone β = −0.0599, CI: −0.1164, −0.0172). In addition, solitary state played a moderating role in the relationship among FHR dimension and CSMP for middle-aged and older patients (live alone β = −0.1095, CI: −0.1961, −0.0378; not live-alone β = −0.0334, CI: −0.0633, −0.0102). Interestingly, the relationship between FESS dimension and SBAMAOPWCD was moderated only by the non-live alone population (β = 0.0676, CI: 0.0008, 0.1478), and not by the live-alone population (β = 0.1026, CI: −0.1061, 0.3278).Unexpectedly, we found that when their FHR were lower, they reported higher levels of chronic disease self-management, middle-aged and older patients with chronic diseases who live alone are more significant in this impact relationship.ConclusionsThe study further deepens our understanding of the mechanisms linking frequency of smartphone use with chronic disease self-management behaviors, and it helps to develop interventions to improve chronic disease self-management behaviors in middle-aged and older adults.

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Factors affecting acceptance of palliative care in mainland China: a national cross-sectional study

Cited by 9 publications

References 0 publications

What are the acceptances and associated influences of hospice care in Mainland China? A national cross-sectional study

What are the acceptances and associated influences of hospice care in Mainland China? A national cross-sectional study

College Students’ Degree of Support for Online Learning during the COVID-19 Pandemic and Associated Factors: A Cross-Sectional Study

Can smartphone use affect chronic disease self-management among Chinese middle-aged and older adults? A moderated mediation model

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