{"title":"Not Without my Fellow Patient! - The Influence of Fellow Patients in Hospitals on Patient Satisfaction and Self-rated Health","authors":"Saskia Hantel, M. Benkenstein","doi":"10.15358/2511-8676-2020-4-237","DOIUrl":null,"url":null,"abstract":"Fellow patients are the people with whom hospital patients spend the most time. Research has shown that the fellow patient influences anxiety, pre- and post-operative stress, compliance, and negative feelings. A few studies have even shown that contact with other patients influences long-term satisfaction with the hospital, and self-rated health. These different factors influence each other via complex interactions. In this study, we analyze these complex interactions by building a theory-based model and testing the model using two empirical studies. The results provide relevant implications for further research and for hospital management.","PeriodicalId":17054,"journal":{"name":"Journal of Software Maintenance and Evolution: Research and Practice","volume":"20 1","pages":"237-254"},"PeriodicalIF":0.0000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Software Maintenance and Evolution: Research and Practice","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15358/2511-8676-2020-4-237","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Fellow patients are the people with whom hospital patients spend the most time. Research has shown that the fellow patient influences anxiety, pre- and post-operative stress, compliance, and negative feelings. A few studies have even shown that contact with other patients influences long-term satisfaction with the hospital, and self-rated health. These different factors influence each other via complex interactions. In this study, we analyze these complex interactions by building a theory-based model and testing the model using two empirical studies. The results provide relevant implications for further research and for hospital management.