{"title":"大流行洞察:COVID-19对传统四舍五入结构的启示","authors":"Michael Czapka, Christopher Lehmann","doi":"10.1007/s44155-023-00054-0","DOIUrl":null,"url":null,"abstract":"Abstract Due to social distancing policies and concerns over patient and provider safety, early in the COVID-19 pandemic many healthcare institutions temporarily converted to various, non-traditional rounding models. The abrupt and unprecedented change in workflow has enabled re-assessment of the reasons for the traditional rounding structures in medical education and comparison to newer strategies for rounding which have developed out of necessity during the pandemic. In this Perspectives article, we examine the positive and negative aspects of rounding models borne out of the pandemic and suggest aspects which may be carried forward, as well as future directions for research.","PeriodicalId":29972,"journal":{"name":"Discover Social Science and Health","volume":"54 10","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Pandemic insights: what COVID-19 has revealed about traditional rounding structure\",\"authors\":\"Michael Czapka, Christopher Lehmann\",\"doi\":\"10.1007/s44155-023-00054-0\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract Due to social distancing policies and concerns over patient and provider safety, early in the COVID-19 pandemic many healthcare institutions temporarily converted to various, non-traditional rounding models. The abrupt and unprecedented change in workflow has enabled re-assessment of the reasons for the traditional rounding structures in medical education and comparison to newer strategies for rounding which have developed out of necessity during the pandemic. In this Perspectives article, we examine the positive and negative aspects of rounding models borne out of the pandemic and suggest aspects which may be carried forward, as well as future directions for research.\",\"PeriodicalId\":29972,\"journal\":{\"name\":\"Discover Social Science and Health\",\"volume\":\"54 10\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-11-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Discover Social Science and Health\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1007/s44155-023-00054-0\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Discover Social Science and Health","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s44155-023-00054-0","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Pandemic insights: what COVID-19 has revealed about traditional rounding structure
Abstract Due to social distancing policies and concerns over patient and provider safety, early in the COVID-19 pandemic many healthcare institutions temporarily converted to various, non-traditional rounding models. The abrupt and unprecedented change in workflow has enabled re-assessment of the reasons for the traditional rounding structures in medical education and comparison to newer strategies for rounding which have developed out of necessity during the pandemic. In this Perspectives article, we examine the positive and negative aspects of rounding models borne out of the pandemic and suggest aspects which may be carried forward, as well as future directions for research.
期刊介绍:
Discover Social Science and Health is an interdisciplinary, international journal that publishes papers at the intersection of the social and biomedical sciences. Papers should integrate, in both theory and measures, a social perspective (reflecting anthropology, criminology, economics, epidemiology, policy, sociology, etc) and a concern for health (mental and physical). Health, broadly construed, includes biological and other indicators of overall health, symptoms, diseases, diagnoses, treatments, treatment adherence, and related concerns. Drawing on diverse, sound methodologies, submissions may include reports of new empirical findings (including important null findings) and replications, reviews and perspectives that construe prior research and discuss future research agendas, methodological research (including the evaluation of measures, samples, and modeling strategies), and short or long commentaries on topics of wide interest. All submissions should include statements of significance with respect to health and future research. Discover Social Science and Health is an Open Access journal that supports the pre-registration of studies.
Topics
Papers suitable for Discover Social Science and Health will include both social and biomedical theory and data. Illustrative examples of themes include race/ethnicity, sex/gender, socioeconomic, geographic, and other social disparities in health; migration and health; spatial distribution of risk factors and access to healthcare; health and social relationships; interactional processes in healthcare, treatments, and outcomes; life course patterns of health and treatment regimens; cross-national patterns in health and health policies; characteristics of communities and neighborhoods and health; social networks and treatment adherence; stigma and disease progression; methodological studies including psychometric properties of measures frequently used in health research; and commentary and analysis of key concepts, theories, and methods in studies of social science and biomedicine. The journal welcomes submissions that draw on biomarkers of health, genetically-informed and neuroimaging data, psychophysiological measures, and other forms of data that describe physical and mental health, access to health care, treatment, and related constructs.