Nursing Home Cares in Response to Different Diseases: Based on Data from Six Chinese Provinces and Cities
- DOI
- 10.2991/978-2-38476-062-6_82How to use a DOI?
- Keywords
- health and elderly care; nursing; mortality factors; nursing home care
- Abstract
This study servers as a statistical analysis of the top 10 causes of annual mortality across nine provinces and cities in China, including the regions of Beijing, Tianjin, and Hebei, and the Guangdong, Hong Kong, and Macao Greater Bay Area over the period of 2013–2022. The findings indicate that malignant neoplasms and cardiovascular disease are the two dominant contributors to mortality in these regions. Furthermore, an extensive literature review is conducted on the top 10 causes of death in Beijing as documented by the Beijing Health and Health Big Data and Policy Research Center in 2021. This systematic analysis enabled us to engage in a discursive examination of various care modalities for elderly residents in nursing homes who are grappling with these conditions. Due to space limitation, part of the review and expectation is attached to this article as URLs in the appendix.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Zhuqi Yu AU - Ruoxi Yang AU - Qing Zeng AU - Liyuan Jiao PY - 2023 DA - 2023/07/11 TI - Nursing Home Cares in Response to Different Diseases: Based on Data from Six Chinese Provinces and Cities BT - Proceedings of the 2023 2nd International Conference on Social Sciences and Humanities and Arts (SSHA 2023) PB - Atlantis Press SP - 648 EP - 653 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-062-6_82 DO - 10.2991/978-2-38476-062-6_82 ID - Yu2023 ER -