Factors associated with the status of usual source of care during the COVID-19 pandemic: a nationwide survey in Japan.

BMC primary care(2023)

引用 0|浏览6
暂无评分
摘要
BACKGROUND:To ensure that high-quality primary care is available to every individual, increasing the proportion of residents with a usual source of care (USC) is a challenge for each country. However, the status of USC after the spread of COVID-19 and the factors associated with it remain unclear internationally. Therefore, we aimed to explore the associations of sociodemographic and clinical factors with the presence and type of USC (kakaritsukei in Japanese) during the pandemic in Japan. METHODS:We conducted a nationwide cross-sectional survey of a representative sample of the general Japanese adult population in May 2021. The main outcome measures were the presence and type of USC. We assessed sociodemographic and clinical factors, including age, gender, marital status, years of education, employment status, annual household income, social isolation, health literacy, number of chronic conditions, and health-related quality of life. RESULTS:Of the 1,757 participants, 1,011 (57.5%) had a USC. There were 769 (76.1%) participants who had a USC in a clinic and 227 (22.5%) in a hospital. As a result of multivariable modified Poisson regression analysis, male gender, no chronic condition, lower health literacy, and social isolation were significantly associated with not having a USC. Among participants with a USC, male gender, the presence of one or more chronic conditions, and lower health-related quality of life were associated with having a hospital-based USC. CONCLUSIONS:We identified factors associated with the status of USC during the COVID-19 pandemic, including health literacy and social isolation. These findings provide primary care providers and policymakers with insight into the potential barriers to having a USC in the aftermath of the pandemic.
更多
查看译文
关键词
covid-19,Delivery of health care,Health literacy,Japan,Primary health care,Social isolation
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要