Choice Preference of Middle-Aged and Elderly People on Integrated Medical Services and Elderly Care Model: A Cross-Sectional Study.

Facing the increasingly severe aging situation, China has started to implement the "integrated medical services and elderly care (IMSEC)" policy, which covers a variety of IMSEC models. However, there is currently little research on middle-aged and elderly people's choice preference for these IMSEC models and their associated factors. Through the face-to-face questionnaire method, the choice preference of middle-aged and elderly people aged 45 years and over in Zhejiang Province, China, to the IMSEC model is explored. Through the multinomial logistic regression model, the influencing factors of choice preference are analyzed. A total of 1034 people are included in 2022. Their choice preference for the 4 major types of IMSEC models are Home IMSEC model (48.07%), Community IMSEC model (23.79%), Institutional IMSEC model (21.76%), and Internet Plus IMSEC model (6.38%). "C1. Home elderly care and contracted with a family doctor" is the most chosen subtype, accounting for 34.53%. The rural elderly are more likely to choose "Home IMSEC model" (OR(95%CI) = 2.977(1.343-6.601)). Elderly people with relatively large life care needs are more likely to choose "Institutional IMSEC model" (OR(95%CI) = 1.114(1.042-1.190)). Moreover, age, education, and self-reported health status are also influencing factors of choice preference. The government should focus on promoting the development of the "Home IMSEC model" and increase the promotion of "Internet Plus IMSEC model." In addition, the life care service capacity and spiritual comfort capacity of IMSEC institutions, as well as the medical service capacity of the community, need to be enhanced.

Evaluation of the Medical Resource Allocation: Evidence from China.

Medical resource allocation is an increasingly crucial issue. It is vital to understand residents' (people living in the local area) evaluation of it. This study explores residents' evaluation of medical resource allocation and its determinants with the dimensions of medical resource adequacy, balance, publicness, and accessibility. We used data from the China General Social Survey (CGSS). Binary logistic regression models were constructed from the four dimensions separately, and we compared the differences among them. The study's results showed that accessibility and publicness are the highest and lowest dimensions of residents' evaluation, respectively. The high evaluation of social equity may be a positive contributor to a higher evaluation of publicness and accessibility. The central region residents had the lowest evaluation of adequacy (OR = 0.697, p = 0.010) and balance (OR = 0.642, p = 0.008). To sum up, perceived social equity, social trust, and social class are crucial factors. Based on the results, the government should strengthen the supervision of the medical market, increase financial support for the health field in the central region, and establish a multi-level medical security system that may help optimize the allocation.

Self-medication and its typology in Chinese elderly population: A cross-sectional study.

Purpose: This paper aims to evaluate the prevalence of self-medication and its associated factors among the Chinese elderly. Also, according to whether the elderly communicate with doctors (no matter before or after self-medication), we aimed to categorize self-medication and explore the associated factors. Methods: It was a cross-sectional study. Data were derived from the 2018 wave of the China Health and Retirement Longitudinal Study (CHARLS). According to whether communicate with doctors or not, self-medication was reclassified as "self-medicate and NOT communicating with a doctor," and "self-medicate and communicate with a doctor." A binary logistic regression was used to identify which elderly were more likely to self-medicate, and a multinomial logistic regression was applied to explore the associated influencing factors of self-medication classifications. Results: A total of 17,445 individuals aged ≥45 years were enrolled. The prevalence of self-medication was 58.60%. Self-medication was strongly associated with sex, education level, pension, self-reported general health status, chronic illness, satisfaction with local medical services, and three province-level socioeconomic welfare variables. About 19.64% of self-medication populations had communicated with a doctor. Higher education level and younger age were significantly associated with a higher probability of "self-medication and communication with a doctor." Conclusion: The prevalence of self-medication among the Chinese elderly is increasing over the year. Health education on appropriate medication use targeting elder adults with low education levels is highly recommended. The typology of self-medication and its factors are new research entry points and could be meaningful for future studies.

Risk Perception Measurement and Influencing Factors of COVID-19 in Medical College Students.

Purpose: In China, the coronavirus disease 2019 (COVID-19) pandemic has been under control and entered the normal prevention and control stage. For medical college students, many studies have analyzed their knowledge, risk perception, and prevention behaviors of COVID-19, but only a few pieces of research explore the content structure of COVID-19 risk perception and the influencing factors. This study measured the students' risk perception of COVID-19 and its dimensions and analyzed the influencing factors of risk perception among them. Methods: The online questionnaire survey was conducted at Hangzhou Medical College in Zhejiang Province among undergraduates and junior college students. A scale was formulated to precisely measure and analyze the COVID-19 risk perception among medical college students. The factors affecting the COVID-19 risk perception in medical college students were analyzed using the multivariate linear regression model. Results: A total of 810 medical students participated in the survey. Results show that COVID-19 risk perception among medical college students was divided into four dimensions: perceived health threat, perceived severity, perceived controllability, and perceived infection possibility. The results showed that income, education, major, and COVID-19 knowledge were the important factors affecting the COVID-19 risk perception of medical college students. Related factors have different influences on the various dimensions of COVID-19 risk perception. COVID-19 knowledge was significantly related to all dimensions of risk perception. Conclusion: This study evaluates the content structure of medical college students' risk perception of COVID-19 precisely and related influencing factors. It is necessary to grasp the risk perception, prevention, and control behaviors of medical college students of different backgrounds, education levels, and majors. Further knowledge training should be conducted for students majoring in clinical medicine, especially the pandemic prevention and control measure training to enhance their sense of security at work.