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find Author "GAO Yuchen" 2 results
  • Purchase willingness rate of long-term care insurance in China: a meta-analysis

    ObjectiveTo systematically review the purchase willingness rate and influencing factors of long-term care insurance in Chinese population.MethodsCNKI, VIP, WanFang Data, EMbase and PubMed databases were electronically searched to collect cross-sectional studies on the purchase willingness rate of long-term care insurance in China from inception to March 2021. Two reviewers independently screened literature, extracted data and assessed the risk of bias of included studies. Meta-analysis was then performed using Stata 16.0 software.ResultsA total of 66 cross-sectional studies involving 151 231 subjects were included. The results of the meta-analysis showed that the purchase willingness rate of long-term care insurance in China was 52.4% (95%CI 48.1% to 56.8%). Subgroup analysis showed that: among the sample characteristic factors, residents who were from the central region of China (56.4%), being studied after 2016 (53.3%), and residing in pilot regions (53.1%) had a higher willingness rate to purchase long-term care insurance. Among demographic factors, the research considered factors of residence and family size (56.2%) contributed to a higher willingness to purchase long-term care insurance, and residents with monthly income from 1 000 yuan to 5 000 yuan (55.4%) and who were unmarried (55.3%) had a higher willingness to purchase long-term care insurance. Among health and concept factors, the research considered factors of insurance and government trust (57.3%), factor of number of chronic diseases (55.0%), and factor of health risk cognition (52.4%) contributed to a higher willingness to purchase long-term care insurance. Among the factors of long-term care insurance system, factor of the government subsidy (60.6%), factor of long-term care insurance price (58.0%) and factor of payment methods (56.2%) contributed a higher willingness to purchase long-term care insurance.ConclusionsCurrent evidence shows that over half of residents are willing to purchase long-term care insurance. However, different factors still affect their purchase willingness. The influencing factors reflect numerous difficulties in the current long-term care insurance system, which requires attention and continuous improvement of policy formulators and related researchers.

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  • Analysis of risk factors for relapse of 133 epileptic children after withdrawal of drugs

    ObjectiveThe risk factors of relapse in 133 epileptic children after withdrawal were analyzed retrospectively and provide reference for clinical withdrawal.MethodsFrom January 2017 to March 2019, 133 children with withdrawal epilepsy were selected as the study object. According to whether there was recurrence during the follow-up period, the children with epilepsy were divided into recurrence group (42 cases) and non recurrence group (91 cases). The gender, age of onset, history of trauma, frequency of seizure before treatment, EEG before drug reduction, imaging, type of medication, family history, time of reaching control, course of disease before treatment, comorbidity, multiple attack types, withdrawal speed and EEG before treatment were observed and compared between the two groups. ResultsThere were significant differences in EEG (χ2 =7.621), medication type (χ2=8.760), time to control (χ2=6.618), course before treatment (χ2=6.435), multiple seizure types (χ2=5.443) and epilepsy comorbidity (χ2=42.795) between the two groups (P < 0.05). The results of Logistic multiple regression analysis showed that the recurrence of epileptic children after drug reduction / withdrawal was correlated with abnormal EEG before drug reduction [OR=9.268, 95%CI (2.255, 38.092)], combined drug treatment [OR=3.205, 95%CI (1.159, 8.866)] and course of disease > 1 year before treatment [OR=5.363, 95%CI (1.781, 16.150)] (P < 0.05).ConclusionsIn order to reduce the possibility of recurrence of epileptic children, the treatment time of epileptic children with abnormal EEG, combined medication and long course before treatment should be prolonged properly.

    Release date:2020-07-20 08:13 Export PDF Favorites Scan
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