[Analysis on factors associated with the place of death among individuals with cardiovascular diseases in China, 2018].

2021 
Objective: To understand the distribution patterns of the place of death (PoD) among individuals with cardiovascular disease (CVD) in the provinces of China in 2018. Relationships between CVD deaths in healthcare/medical institutions and individual demographics, social-economic status (SES), the underlying cause of death, and local cultural factors were also explored. Methods: Using data from the National Cause-of-death Reporting System, we examined potential, influential factors of CVD deaths in healthcare/medical institutions through multilevel logistic regression. Results: In 2018, there were 853 832 CVD deaths in disease surveillance points in the country, with 661 625 (77.49%) home deaths and 156 441 (18.32%) occurring in healthcare and medical institutions. Factors including sex, age, nationality, marital status, education level, occupation, the underlying cause of death, criterion for diagnosis, and urban/rural residency, were significantly influential on CVD deaths in healthcare/medical institutions. Meanwhile, spatial variations were shown at factors the subnational level, with 45.39% related to factors at the individual level. Conclusion: Home was the dominant place for CVD deaths in the country, with substantial spatial variations in PoD between provinces. The probability of dying in healthcare/medical settings was comparatively higher among CVD patients with superior socioeconomic status and who lived in urban areas. Adequate information should be collected and included in further studies on exploring influential factors of PoD. Since both social factors, individual preferences, and acute and chronic CVD deaths are critical, it is necessary to enhance treatment capacity. A booming approach incorporating home/hospice care with on-site medical services might also improve the quality of end-of-life care among CVD patients in China.
    • Correction
    • Source
    • Cite
    • Save
    • Machine Reading By IdeaReader
    0
    References
    0
    Citations
    NaN
    KQI
    []