Analysis of Influencing Factors and Demand Forecast of Single Disease Demand in Chinese Public Hospitals

Abstract

Objectives: In this study, we examine influencing factors and demand forecast of single disease demand in Chinese public hospitals. Methods: We conducted a preliminary screening of the literature, according to a literature search strategy and inclusion and exclusion criteria. Related Chinese and English articles between 2000 and 2022 were searched in the Chinese National Knowledge Infrastructure, Wanfang, PubMed, and Elsevier databases and Google Scholar. The Jadad literature scoring mechanism was used, and Stata/SE version 12.0 software was used to perform a meta-analysis of the effect size of literature statistics. The outcome index was the 2-week visit rate. Results: We included 13 articles for meta-analysis. Their combined effect size and 95% confidence interval for chronic disease, age, gender, economic factors, medical insurance form and education level were 3.43 (2.26, 5.51), 2.53 (1.74, 3.68), 1.3 (1.16, 1.46), 2.31 (1.16, 4.61), 3.2 (2.98, 3.45) and 1.35 (1.14, 1.6), respectively. Results revealed that for patients with chronic diseases, those>60 years of age and families with better economic conditions and higher levels of education correlated with a higher demand for medical services among families with medical insurance for urban residents. Conclusion: Using meta-analysis, we analyzed the factors that affect the demand for medical services in China. From demographic and economic factors, national medical insurance policies and residents' health status, we analyzed the relationship between patients with a single disease and other factors. With respect to the influence of medical service demand, relevant departments should take effective measures to increase medical service demand according to the influencing factor of the 2-week visit rate and simultaneously provide scientific theoretical guidance for medical reform.