Big Data-Enabled Analysis of Factors Affecting Medical Expenditure in the Cerebral Infarction of a Developing City in Western China

References

• Zhou M, Wang H, Zeng X, et al. Mortality, morbidity, and risk factors in China and its provinces, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2019;394(10204):1145–1158. doi:10.1016/S0140-6736(19)30427-1
   PubMed Web of Science ®Google Scholar
• Park SK, Jung JY, Kim MH, et al. The association between changes in proteinuria and the risk of cerebral infarction in the Korean population. Diabetes Res Clin Practice. 2022;192:110090. doi:10.1016/j.diabres.2022.110090
   PubMed Web of Science ®Google Scholar
• Cui R, Liao X, Robinson N, et al. Comparative efficacy of oral traditional Chinese patent medicines for acute cerebral infarction: a protocol for a systematic review and network meta-analysis. Eur J Integrative Med. 2019;32:100977. doi:10.1016/j.eujim.2019.100977
   Web of Science ®Google Scholar
• Feigin VL, Norrving B, Mensah GA. Global burden of stroke. Circulation Res. 2017;120(3):439–448. doi:10.1161/CIRCRESAHA.116.308413
   PubMed Web of Science ®Google Scholar
• Ma Q, Li R, Wang L, et al. Temporal trend and attributable risk factors of stroke burden in China, 1990–2019: an analysis for the Global Burden of Disease Study 2019. Lancet Public Health. 2021;6(12):e897–e906. doi:10.1016/S2468-2667(21)00228-0
   PubMed Web of Science ®Google Scholar
• Huang Q, Lan X, Chen H, et al. Association Between Genetic Predisposition and Disease Burden of Stroke in China: A Genetic Epidemiological Study. The Lancet Regional Health–Western Pacific; 2023.
   Google Scholar
• Feigin VL, Stark BA, Johnson CO, et al. Global, regional, and national burden of stroke and its risk factors, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet Neurol. 2021;20(10):795–820. doi:10.1016/S1474-4422(21)00252-0
   PubMed Web of Science ®Google Scholar
• Peng S, Liu X, Cao W, et al. Global, regional, and national time trends in mortality for stroke, 1990–2019: an age-period-cohort analysis for the global burden of disease 2019 study and implications for stroke prevention. Int J Cardiol. 2023;383:117–131. doi:10.1016/j.ijcard.2023.05.001
   PubMed Web of Science ®Google Scholar
• Pandian JD, Kalkonde Y, Sebastian IA, et al. Stroke systems of care in low-income and middle-income countries: challenges and opportunities. Lancet. 2020;396(10260):1443–1451. doi:10.1016/S0140-6736(20)31374-X
   PubMed Web of Science ®Google Scholar
• Khatib R, Arevalo YA, Berendsen MA, et al. Presentation, evaluation, management, and outcomes of acute stroke in low-and middle-income countries: a systematic review and meta-analysis. Neuroepidemiology. 2018;51(1–2):104–112. doi:10.1159/000491442
   PubMed Web of Science ®Google Scholar
• Zeng S, Luo L, Chen F, et al. Association of outdoor air pollution with the medical expense of ischemic stroke: the case study of an industrial city in western China. Int J Health Planning Management. 2021;36(3):715–728. doi:10.1002/hpm.3115
   PubMed Web of Science ®Google Scholar
• Chen CH, Chang YJ, Sy HN, et al. Risk assessment of the outcome for cerebral infarction in tuberculous meningitis. Revue Neurologique. 2014;170(8–9):512–519. doi:10.1016/j.neurol.2014.06.004
   PubMed Web of Science ®Google Scholar
• Kalita J, Misra UK, Nair PP. Predictors of stroke and its significance in the outcome of tuberculous meningitis. J Stroke Cerebrovascular Dis. 2009;18(4):251–258. doi:10.1016/j.jstrokecerebrovasdis.2008.11.007
   PubMed Web of Science ®Google Scholar
• Koester SW, Catapano JS, Rumalla K, et al. Health care expenditures associated with delayed cerebral ischemia following subarachnoid hemorrhage: a propensity-adjusted analysis. World Neurosurgery. 2022;167:e600–e606. doi:10.1016/j.wneu.2022.08.057
   PubMed Web of Science ®Google Scholar
• Movahed MS, Barghazan SH, Adel A, et al. Economic burden of stroke in Iran: a population-based study. Value Health Regional Issues. 2021;24:77–81. doi:10.1016/j.vhri.2020.04.004
   PubMedGoogle Scholar
• Luo Y, Yang W, Qi M, et al. Annual direct economic burden and influencing factors of dry eye diseases in central China. Ophthalmic Epidemiol. 2023;30(2):121–128. doi:10.1080/09286586.2021.1959618
   Web of Science ®Google Scholar
• Jakovljevic M, Chang H, Pan J, et al. Successes and challenges of China’s health care reform: a four-decade perspective spanning 1985—2023. Cost Effectiveness Resource Allocation. 2023;21(1):59. doi:10.1186/s12962-023-00461-9
   PubMed Web of Science ®Google Scholar
• Zhang Y, Chai P, Zhai T, et al. Study on accounting and analysis of curative expenditure on cardio-cerebrovascular diseases in China. Chine Circulation J. 2020;35(9):859–865.
   Google Scholar
• Zeng S, Luo L, Fang Y, et al. Cost control of treatment for cerebrovascular patients using a machine learning model in western China. J Healthcare Eng. 2021;2021:1–8. doi:10.1155/2021/6158961
   Web of Science ®Google Scholar
• The state council of China. Notice of the Office of the National Healthcare Security Administration on issuing the detailed grouping plan for the disease diagnosis related groups of China Healthcare Security (CHS-DRG) (Version 1.0), 2020. Available from: https://www.gov.cn/zhengce/zhengceku/2020-06/19/content_5520572.htm. Accessed September 7, 2023.
   Google Scholar
• Hu Y, Zeng S, Li L, et al. Risk factors associated with postoperative complications after liver cancer resection surgery in western China. Cost Effectiveness Resource Allocation. 2021;19(1):1–10. doi:10.1186/s12962-021-00318-z
   PubMed Web of Science ®Google Scholar
• Sahoo PM, Rout HS, Jakovljevic M. Future health expenditure in the BRICS countries: a forecasting analysis for 2035. Globalization Health. 2023;19(1):49. doi:10.1186/s12992-023-00947-4
   PubMed Web of Science ®Google Scholar
• Jakovljevic M, Timofeyev Y, Ekkert NV, et al. The impact of health expenditures on public health in BRICS nations. J Sport Health Sci. 2019;8(6):516. doi:10.1016/j.jshs.2019.09.002
   PubMed Web of Science ®Google Scholar
• Kosaka M, Ozaki A, Kaneda Y, et al. Generic drug crisis in Japan and changes leading to the collapse of universal health insurance established in 1961: the case of Kobayashi Kako Co. Ltd. Cost Effectiveness Resource Allocation. 2023;21(1):1–3. doi:10.1186/s12962-023-00441-z
   PubMed Web of Science ®Google Scholar
• Jakovljevic M, Verhaeghe N, Souliotis K, et al. Challenges of pharmacoeconomics in global health arena—Contemporary momentum in the early 2020s. Front Public Health. 2023;11:1189671. doi:10.3389/fpubh.2023.1189671
   PubMed Web of Science ®Google Scholar
• Jakovljevic M, Chang H, Kumagai N. Global excellence in health economics: Asia and Australasia. Front Public Health. 2023;11:1172632. doi:10.3389/fpubh.2023.1172632
   PubMed Web of Science ®Google Scholar
• Chen C, Song J, Xu X, et al. Analysis of influencing factors of economic burden and medical service utilization of diabetic patients in China. PLoS One. 2020;15(10):e0239844. doi:10.1371/journal.pone.0239844
   PubMed Web of Science ®Google Scholar
• Yang X, Wu H, Liu S, et al. Blood Tests predict length of stay in patients with first-ever ischemic stroke. Modern Preventive Med. 2020;47(6):1133–1137.
   Google Scholar
• Han J, Zhang X, Meng Y. Out-patient service and in-patient service: the impact of health insurance on the healthcare utilization of mid-aged and older residents in urban China. Risk Management Healthcare Policy. 2020;2199–2212. doi:10.2147/RMHP.S273098
   PubMed Web of Science ®Google Scholar
• Williams N. How Sex and Gender Impact Clinical Practice: an Evidence-Based Guide to Patient Care. Occupational Med. 2021;71(6–7):307. doi:10.1093/occmed/kqab056
   Google Scholar
• Karunawan NH, Pinzon RT. The gender differences in risk factors and clinical outcomes of atherosclerotic cardiovascular disease: a hospital-based stroke registry in ASEAN country. Metabolism. 2021;116.
   Web of Science ®Google Scholar
• Li L, Du T. The different classification of hospitals impact on the equity of medical outcomes of patients in China[Preprint]. Available at Research Square; 2021.
   Google Scholar
• Liu C, Zhou XH. Medical information spillovers and health care choice of Chinese residents in the Internet era: an empirical research based on CHNS (in Chinese). J Public Management. 2017;14(4):78–90.
   Google Scholar
• Guindon GE, Fatima T, Garasia S, et al. A systematic umbrella review of the association of prescription drug insurance and cost-sharing with drug use, health services use, and health. BMC Health Services Res. 2022;22(1):1–33. doi:10.1186/s12913-022-07554-w
   PubMed Web of Science ®Google Scholar
• Jakovljevic M, Wang L, Adhikari C. Asian health sector growth in the next decade—Optimism despite challenges ahead. Front Public Health. 2023;11:1150917. doi:10.3389/fpubh.2023.1150917
   PubMed Web of Science ®Google Scholar
• Timofeyev Y, Dremova O, Jakovljevic M. The impact of transparency constraints on the efficiency of the Russian healthcare system: systematic literature review. J Med Economics. 2023;26(1):95–109. doi:10.1080/13696998.2022.2160608
   PubMed Web of Science ®Google Scholar