{"title":"管理不确定性:中青年淋巴瘤患者恢复正常的扎根理论研究","authors":"Chunfeng Wang , Yong Wu , Rong Hu","doi":"10.1016/j.ijnss.2025.06.008","DOIUrl":null,"url":null,"abstract":"<div><h3>Objectives</h3><div>This study aimed to generate a theoretical framework based on empirical data to explain the behavioral patterns closely related to young and middle-aged patients with lymphoma throughout the disease.</div></div><div><h3>Methods</h3><div>This study followed the classic grounded theory methodology, involving procedures such as theoretical sampling, substantive coding, theoretical coding, constant comparison, and memo writing and sorting. Multiple data types were used based on the principle of “all is data,” including 34 participants providing interview data along with observation notes and 40 relevant secondary texts from the “Lymphoma House” network platform and the “Lymphoma House 086” public account. Two autobiographical books written by lymphoma patients were also selected as data resources. Data collection and analysis were conducted in an iterative process until theoretical saturation was reached. The COREQ checklist was followed to report this study.</div></div><div><h3>Results</h3><div>The main concern of middle-aged and young patients with lymphoma was identified as restoring normality, while managing uncertainty was the main behavioral pattern for restoring normality. Uncertainty consists of two interrelated types: inherent uncertainty of illness and perceived uncertainty of patients. Four strategies are used to manage uncertainty: reconstructing certainty, adaptive coping, defensive buffering, and compensatory changing. Managing uncertainty is influenced by disease characteristics and perceptions, social resources, and cultural concepts. The consequence of managing uncertainty is reaching a new normality.</div></div><div><h3>Conclusions</h3><div>Pervasive uncertainty significantly affects the daily lives of young and middle-aged patients with lymphoma. Consequently, strategies for managing disease-related uncertainty to sustain normality are commonly observed in this population. This theoretical framework for addressing uncertainty can serve as a foundation for understanding and developing tailored interventions to manage uncertainty. Future research should focus on managing uncertainty to help patients restore normality.</div></div>","PeriodicalId":37848,"journal":{"name":"International Journal of Nursing Sciences","volume":"12 4","pages":"Pages 393-400"},"PeriodicalIF":3.1000,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Managing uncertainty: A grounded theory study of restoring normality in young and middle-aged patients with lymphoma\",\"authors\":\"Chunfeng Wang , Yong Wu , Rong Hu\",\"doi\":\"10.1016/j.ijnss.2025.06.008\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Objectives</h3><div>This study aimed to generate a theoretical framework based on empirical data to explain the behavioral patterns closely related to young and middle-aged patients with lymphoma throughout the disease.</div></div><div><h3>Methods</h3><div>This study followed the classic grounded theory methodology, involving procedures such as theoretical sampling, substantive coding, theoretical coding, constant comparison, and memo writing and sorting. Multiple data types were used based on the principle of “all is data,” including 34 participants providing interview data along with observation notes and 40 relevant secondary texts from the “Lymphoma House” network platform and the “Lymphoma House 086” public account. Two autobiographical books written by lymphoma patients were also selected as data resources. Data collection and analysis were conducted in an iterative process until theoretical saturation was reached. The COREQ checklist was followed to report this study.</div></div><div><h3>Results</h3><div>The main concern of middle-aged and young patients with lymphoma was identified as restoring normality, while managing uncertainty was the main behavioral pattern for restoring normality. Uncertainty consists of two interrelated types: inherent uncertainty of illness and perceived uncertainty of patients. Four strategies are used to manage uncertainty: reconstructing certainty, adaptive coping, defensive buffering, and compensatory changing. Managing uncertainty is influenced by disease characteristics and perceptions, social resources, and cultural concepts. The consequence of managing uncertainty is reaching a new normality.</div></div><div><h3>Conclusions</h3><div>Pervasive uncertainty significantly affects the daily lives of young and middle-aged patients with lymphoma. Consequently, strategies for managing disease-related uncertainty to sustain normality are commonly observed in this population. This theoretical framework for addressing uncertainty can serve as a foundation for understanding and developing tailored interventions to manage uncertainty. Future research should focus on managing uncertainty to help patients restore normality.</div></div>\",\"PeriodicalId\":37848,\"journal\":{\"name\":\"International Journal of Nursing Sciences\",\"volume\":\"12 4\",\"pages\":\"Pages 393-400\"},\"PeriodicalIF\":3.1000,\"publicationDate\":\"2025-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Nursing Sciences\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2352013225000791\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"NURSING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Nursing Sciences","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352013225000791","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"NURSING","Score":null,"Total":0}
Managing uncertainty: A grounded theory study of restoring normality in young and middle-aged patients with lymphoma
Objectives
This study aimed to generate a theoretical framework based on empirical data to explain the behavioral patterns closely related to young and middle-aged patients with lymphoma throughout the disease.
Methods
This study followed the classic grounded theory methodology, involving procedures such as theoretical sampling, substantive coding, theoretical coding, constant comparison, and memo writing and sorting. Multiple data types were used based on the principle of “all is data,” including 34 participants providing interview data along with observation notes and 40 relevant secondary texts from the “Lymphoma House” network platform and the “Lymphoma House 086” public account. Two autobiographical books written by lymphoma patients were also selected as data resources. Data collection and analysis were conducted in an iterative process until theoretical saturation was reached. The COREQ checklist was followed to report this study.
Results
The main concern of middle-aged and young patients with lymphoma was identified as restoring normality, while managing uncertainty was the main behavioral pattern for restoring normality. Uncertainty consists of two interrelated types: inherent uncertainty of illness and perceived uncertainty of patients. Four strategies are used to manage uncertainty: reconstructing certainty, adaptive coping, defensive buffering, and compensatory changing. Managing uncertainty is influenced by disease characteristics and perceptions, social resources, and cultural concepts. The consequence of managing uncertainty is reaching a new normality.
Conclusions
Pervasive uncertainty significantly affects the daily lives of young and middle-aged patients with lymphoma. Consequently, strategies for managing disease-related uncertainty to sustain normality are commonly observed in this population. This theoretical framework for addressing uncertainty can serve as a foundation for understanding and developing tailored interventions to manage uncertainty. Future research should focus on managing uncertainty to help patients restore normality.
期刊介绍:
This journal aims to promote excellence in nursing and health care through the dissemination of the latest, evidence-based, peer-reviewed clinical information and original research, providing an international platform for exchanging knowledge, research findings and nursing practice experience. This journal covers a wide range of nursing topics such as advanced nursing practice, bio-psychosocial issues related to health, cultural perspectives, lifestyle change as a component of health promotion, chronic disease, including end-of-life care, family care giving. IJNSS publishes four issues per year in Jan/Apr/Jul/Oct. IJNSS intended readership includes practicing nurses in all spheres and at all levels who are committed to advancing practice and professional development on the basis of new knowledge and evidence; managers and senior members of the nursing; nurse educators and nursing students etc. IJNSS seeks to enrich insight into clinical need and the implications for nursing intervention and models of service delivery. Contributions are welcomed from other health professions on issues that have a direct impact on nursing practice.