{"title":"应用内部方法三角测量法分析医院系统健康状况。","authors":"Angela C Brittain, Jane M Carrington","doi":"10.1097/ANS.0000000000000525","DOIUrl":null,"url":null,"abstract":"<p><p>Qualitative descriptive research can be used when researchers are seeking to find the \"how,\" \"what,\" or \"when\" of phenomena. The most common qualitative descriptive analysis methods are content and thematic analyses. Data triangulation through content analysis and natural language processing was first described in 2018 for the analysis of nurse-to-nurse communication in an acute care setting. The purpose of this article is to discuss a within-methods data triangulation of interviews done with nurses and nursing leaders in Magnet- and non-Magnet-designated hospitals through integration and application of content analysis, code quantification via the Goodwin statistic, and natural language processing.</p>","PeriodicalId":50857,"journal":{"name":"Advances in Nursing Science","volume":"47 2","pages":"123-135"},"PeriodicalIF":1.6000,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Application of Within-Methods Triangulation to Analyze Hospital System Health.\",\"authors\":\"Angela C Brittain, Jane M Carrington\",\"doi\":\"10.1097/ANS.0000000000000525\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Qualitative descriptive research can be used when researchers are seeking to find the \\\"how,\\\" \\\"what,\\\" or \\\"when\\\" of phenomena. The most common qualitative descriptive analysis methods are content and thematic analyses. Data triangulation through content analysis and natural language processing was first described in 2018 for the analysis of nurse-to-nurse communication in an acute care setting. The purpose of this article is to discuss a within-methods data triangulation of interviews done with nurses and nursing leaders in Magnet- and non-Magnet-designated hospitals through integration and application of content analysis, code quantification via the Goodwin statistic, and natural language processing.</p>\",\"PeriodicalId\":50857,\"journal\":{\"name\":\"Advances in Nursing Science\",\"volume\":\"47 2\",\"pages\":\"123-135\"},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2024-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Advances in Nursing Science\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1097/ANS.0000000000000525\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/5/2 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q2\",\"JCRName\":\"NURSING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Nursing Science","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1097/ANS.0000000000000525","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/5/2 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"NURSING","Score":null,"Total":0}
Application of Within-Methods Triangulation to Analyze Hospital System Health.
Qualitative descriptive research can be used when researchers are seeking to find the "how," "what," or "when" of phenomena. The most common qualitative descriptive analysis methods are content and thematic analyses. Data triangulation through content analysis and natural language processing was first described in 2018 for the analysis of nurse-to-nurse communication in an acute care setting. The purpose of this article is to discuss a within-methods data triangulation of interviews done with nurses and nursing leaders in Magnet- and non-Magnet-designated hospitals through integration and application of content analysis, code quantification via the Goodwin statistic, and natural language processing.
期刊介绍：
Consistently ranked as one of the most-read and most assigned journals by faculties of graduate programs in nursing, Advances in Nursing Science (ANS) is intellectually challenging, innovative and progressive, and features articles from a wide range of scholarly traditions. The journal particularly encourages works that speak to the need for global sustainability and that take an intersectional approach, recognizing class, color, sexual and gender identity, and other dimensions of human experience related to health. Articles in ANS are peer-reviewed and chosen for their pioneering perspectives and for their significance in contributing the evolution of the discipline of nursing.
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