{"title":"通过心理测量网络在妇产科、生殖健康和COVID-19研究中的健康动态","authors":"","doi":"10.33140/jgrm.05.007","DOIUrl":null,"url":null,"abstract":"Network analysis offers a valuable methodological and practical contribution to research in gynecology, obstetrics and reproductive health. This analysis enables clinicians to interpret and translate the information derived from their research into better integrated care in the clinical population of interest, allowing them to focus a concrete intervention based on network results, from the perspective of complex model systems. The evaluation of the network reinforces a better explanation of the functioning of various reproductive and maternal health conditions to explain how their etiological mechanisms and concomitant variables interact with each other, of major clinical importance in the current COVID-19 pandemic context.","PeriodicalId":93778,"journal":{"name":"Journal of gynecology, clinical obstetrics and reproductive medicine","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Health Dynamics Through Psychometric Networks in Gynecology, Obstetrics, Reproductive Health And COVID-19 Research\",\"authors\":\"\",\"doi\":\"10.33140/jgrm.05.007\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Network analysis offers a valuable methodological and practical contribution to research in gynecology, obstetrics and reproductive health. This analysis enables clinicians to interpret and translate the information derived from their research into better integrated care in the clinical population of interest, allowing them to focus a concrete intervention based on network results, from the perspective of complex model systems. The evaluation of the network reinforces a better explanation of the functioning of various reproductive and maternal health conditions to explain how their etiological mechanisms and concomitant variables interact with each other, of major clinical importance in the current COVID-19 pandemic context.\",\"PeriodicalId\":93778,\"journal\":{\"name\":\"Journal of gynecology, clinical obstetrics and reproductive medicine\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-10-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of gynecology, clinical obstetrics and reproductive medicine\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.33140/jgrm.05.007\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of gynecology, clinical obstetrics and reproductive medicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33140/jgrm.05.007","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Health Dynamics Through Psychometric Networks in Gynecology, Obstetrics, Reproductive Health And COVID-19 Research
Network analysis offers a valuable methodological and practical contribution to research in gynecology, obstetrics and reproductive health. This analysis enables clinicians to interpret and translate the information derived from their research into better integrated care in the clinical population of interest, allowing them to focus a concrete intervention based on network results, from the perspective of complex model systems. The evaluation of the network reinforces a better explanation of the functioning of various reproductive and maternal health conditions to explain how their etiological mechanisms and concomitant variables interact with each other, of major clinical importance in the current COVID-19 pandemic context.