Suhasini Kotcherlakota, Elizabeth Mollard, Kevin Kupzyk, Jennifer Cera
{"title":"探索客观模拟能力评估体验电子学习模块分析:改进护理教师反馈的混合方法研究。","authors":"Suhasini Kotcherlakota, Elizabeth Mollard, Kevin Kupzyk, Jennifer Cera","doi":"10.1097/CIN.0000000000001164","DOIUrl":null,"url":null,"abstract":"<p><p>Abnormal uterine bleeding is a common clinical concern for adolescent women. This research study aims to improve the clinical reasoning skills of advanced practice nursing students instructed in blended Objective Simulation Competency Assessment clinical experiences by enhancing feedback loops given to students during simulated experiences. A sequential explanatory mixed-methods study design was conducted with two cohorts of first-year women's health nurse practitioner graduate nursing students enrolled in the Women's Health Program at a large Midwestern university. Data were collected across 2 years from two separate cohorts, and analyses included data from 15 participants. The Abnormal Uterine Bleeding module designed with decision pathways was a worthy effort, and faculty value using data analytics from the e-learning module to evaluate student learning. This study describes how nursing faculty created abnormal uterine bleeding content in an online module format that can aid the diagnostic reasoning process and enable feedback to students.</p>","PeriodicalId":50694,"journal":{"name":"Cin-Computers Informatics Nursing","volume":" ","pages":"862-871"},"PeriodicalIF":1.3000,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Exploring Objective Simulation Competency Assessment Experience E-Learning Module Analytics: A Mixed-Methods Study to Improve Nursing Faculty Feedback.\",\"authors\":\"Suhasini Kotcherlakota, Elizabeth Mollard, Kevin Kupzyk, Jennifer Cera\",\"doi\":\"10.1097/CIN.0000000000001164\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Abnormal uterine bleeding is a common clinical concern for adolescent women. This research study aims to improve the clinical reasoning skills of advanced practice nursing students instructed in blended Objective Simulation Competency Assessment clinical experiences by enhancing feedback loops given to students during simulated experiences. A sequential explanatory mixed-methods study design was conducted with two cohorts of first-year women's health nurse practitioner graduate nursing students enrolled in the Women's Health Program at a large Midwestern university. Data were collected across 2 years from two separate cohorts, and analyses included data from 15 participants. The Abnormal Uterine Bleeding module designed with decision pathways was a worthy effort, and faculty value using data analytics from the e-learning module to evaluate student learning. This study describes how nursing faculty created abnormal uterine bleeding content in an online module format that can aid the diagnostic reasoning process and enable feedback to students.</p>\",\"PeriodicalId\":50694,\"journal\":{\"name\":\"Cin-Computers Informatics Nursing\",\"volume\":\" \",\"pages\":\"862-871\"},\"PeriodicalIF\":1.3000,\"publicationDate\":\"2024-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cin-Computers Informatics Nursing\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1097/CIN.0000000000001164\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cin-Computers Informatics Nursing","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1097/CIN.0000000000001164","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
Exploring Objective Simulation Competency Assessment Experience E-Learning Module Analytics: A Mixed-Methods Study to Improve Nursing Faculty Feedback.
Abnormal uterine bleeding is a common clinical concern for adolescent women. This research study aims to improve the clinical reasoning skills of advanced practice nursing students instructed in blended Objective Simulation Competency Assessment clinical experiences by enhancing feedback loops given to students during simulated experiences. A sequential explanatory mixed-methods study design was conducted with two cohorts of first-year women's health nurse practitioner graduate nursing students enrolled in the Women's Health Program at a large Midwestern university. Data were collected across 2 years from two separate cohorts, and analyses included data from 15 participants. The Abnormal Uterine Bleeding module designed with decision pathways was a worthy effort, and faculty value using data analytics from the e-learning module to evaluate student learning. This study describes how nursing faculty created abnormal uterine bleeding content in an online module format that can aid the diagnostic reasoning process and enable feedback to students.
期刊介绍:
For over 30 years, CIN: Computers, Informatics, Nursing has been at the interface of the science of information and the art of nursing, publishing articles on the latest developments in nursing informatics, research, education and administrative of health information technology. CIN connects you with colleagues as they share knowledge on implementation of electronic health records systems, design decision-support systems, incorporate evidence-based healthcare in practice, explore point-of-care computing in practice and education, and conceptually integrate nursing languages and standard data sets. Continuing education contact hours are available in every issue.