Grace M Liu, Meredith L Meadows, Katherine T Wiley, Jordan Jurinsky, Andrew A Anglemyer, Lucy L Wang, Joseph T Schneider, Sarah V Suiter
{"title":"协作、团队科学研究伙伴关系形成性评价的网络分析。","authors":"Grace M Liu, Meredith L Meadows, Katherine T Wiley, Jordan Jurinsky, Andrew A Anglemyer, Lucy L Wang, Joseph T Schneider, Sarah V Suiter","doi":"10.1177/01632787231195642","DOIUrl":null,"url":null,"abstract":"<p><p>Cancer health disparities persist across the cancer care continuum despite decades of effort to eliminate them. Among the strategies currently used to address these disparities are multi-institution research initiatives that engage multiple stakeholders and change efforts. Endemic to the theory of change of such programs is the idea that collaboration-across institutions, research disciplines, and academic ranks-is necessary to improve outcomes. Despite this emphasis on collaboration, however, it is not often a focus of evaluation for these programs and others like them. In this paper we describe a method for evaluating collaboration within the Meharry-Vanderbilt-Tennessee State University Cancer Partnership using network analysis. Specifically, we used network analysis of co-authorship on academic publications to visualize the growth and patterns of scientific collaboration across partnership institutions, research disciplines, and academic ranks over time. We presented the results of the network analysis to internal and external advisory groups, creating the opportunity to discuss partnership collaboration, celebrate successes, and identify opportunities for improvement. We propose that basic network analysis of existing data along with network visualizations can foster conversation and feedback and are simple and effective ways to evaluate collaboration initiatives.</p>","PeriodicalId":12315,"journal":{"name":"Evaluation & the Health Professions","volume":" ","pages":"334-343"},"PeriodicalIF":2.2000,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10637077/pdf/","citationCount":"0","resultStr":"{\"title\":\"Network Analysis for Formative Evaluation of Collaborative, Team Science Research Partnerships.\",\"authors\":\"Grace M Liu, Meredith L Meadows, Katherine T Wiley, Jordan Jurinsky, Andrew A Anglemyer, Lucy L Wang, Joseph T Schneider, Sarah V Suiter\",\"doi\":\"10.1177/01632787231195642\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Cancer health disparities persist across the cancer care continuum despite decades of effort to eliminate them. Among the strategies currently used to address these disparities are multi-institution research initiatives that engage multiple stakeholders and change efforts. Endemic to the theory of change of such programs is the idea that collaboration-across institutions, research disciplines, and academic ranks-is necessary to improve outcomes. Despite this emphasis on collaboration, however, it is not often a focus of evaluation for these programs and others like them. In this paper we describe a method for evaluating collaboration within the Meharry-Vanderbilt-Tennessee State University Cancer Partnership using network analysis. Specifically, we used network analysis of co-authorship on academic publications to visualize the growth and patterns of scientific collaboration across partnership institutions, research disciplines, and academic ranks over time. We presented the results of the network analysis to internal and external advisory groups, creating the opportunity to discuss partnership collaboration, celebrate successes, and identify opportunities for improvement. We propose that basic network analysis of existing data along with network visualizations can foster conversation and feedback and are simple and effective ways to evaluate collaboration initiatives.</p>\",\"PeriodicalId\":12315,\"journal\":{\"name\":\"Evaluation & the Health Professions\",\"volume\":\" \",\"pages\":\"334-343\"},\"PeriodicalIF\":2.2000,\"publicationDate\":\"2023-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10637077/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Evaluation & the Health Professions\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1177/01632787231195642\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2023/8/18 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q2\",\"JCRName\":\"HEALTH CARE SCIENCES & SERVICES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Evaluation & the Health Professions","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1177/01632787231195642","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/8/18 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
Network Analysis for Formative Evaluation of Collaborative, Team Science Research Partnerships.
Cancer health disparities persist across the cancer care continuum despite decades of effort to eliminate them. Among the strategies currently used to address these disparities are multi-institution research initiatives that engage multiple stakeholders and change efforts. Endemic to the theory of change of such programs is the idea that collaboration-across institutions, research disciplines, and academic ranks-is necessary to improve outcomes. Despite this emphasis on collaboration, however, it is not often a focus of evaluation for these programs and others like them. In this paper we describe a method for evaluating collaboration within the Meharry-Vanderbilt-Tennessee State University Cancer Partnership using network analysis. Specifically, we used network analysis of co-authorship on academic publications to visualize the growth and patterns of scientific collaboration across partnership institutions, research disciplines, and academic ranks over time. We presented the results of the network analysis to internal and external advisory groups, creating the opportunity to discuss partnership collaboration, celebrate successes, and identify opportunities for improvement. We propose that basic network analysis of existing data along with network visualizations can foster conversation and feedback and are simple and effective ways to evaluate collaboration initiatives.
期刊介绍:
Evaluation & the Health Professions is a peer-reviewed, quarterly journal that provides health-related professionals with state-of-the-art methodological, measurement, and statistical tools for conceptualizing the etiology of health promotion and problems, and developing, implementing, and evaluating health programs, teaching and training services, and products that pertain to a myriad of health dimensions. This journal is a member of the Committee on Publication Ethics (COPE). Average time from submission to first decision: 31 days