Xiandong Feng , Yinhuan Hu , Holger Pfaff , Sha Liu , Hui Wang , Zhen Qi
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We used the fixed-effect negative binomial model to test research hypotheses.</div></div><div><h3>Results</h3><div>The findings indicated that the time since diagnosis (β = -0.127, P < 0.001) was negatively associated with online help-seeking behaviors among cancer patients. In contrast, social support (β = 0.002, P = 0.003) and disease stigma (β = 0.170, P < 0.001) positively influenced their help-seeking behaviors in online health communities. Furthermore, while male and female cancer patients showed decreased help-seeking behaviors as time since diagnosis increased, the decline was less pronounced for females (β = 0.040, P < 0.001). The positive impact of disease stigma on help-seeking behaviors is stronger for female patients than male patients (β = 0.098, P < 0.001).</div></div><div><h3>Conclusion</h3><div>This research broadens the understanding of how cancer patients seek help in digital environments and enhances theoretical insights into these behaviors.</div></div>","PeriodicalId":54950,"journal":{"name":"International Journal of Medical Informatics","volume":"195 ","pages":"Article 105767"},"PeriodicalIF":3.7000,"publicationDate":"2024-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The determinants of help-seeking behaviors among cancer patients in online health communities: Evidence from China\",\"authors\":\"Xiandong Feng , Yinhuan Hu , Holger Pfaff , Sha Liu , Hui Wang , Zhen Qi\",\"doi\":\"10.1016/j.ijmedinf.2024.105767\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Objective</h3><div>Although online health communities offer a new approach to patient interaction, the help-seeking behaviors of cancer patients within these platforms remain unexplored. This study aims to identify the determinants influencing online help-seeking behaviors among cancer patients.</div></div><div><h3>Method</h3><div>Based on motivation theory, we proposed six hypotheses and developed a research model. Data were collected from 1100 cancer patients who sought help in a leading Chinese online cancer community in March, June, and September 2023. We used the fixed-effect negative binomial model to test research hypotheses.</div></div><div><h3>Results</h3><div>The findings indicated that the time since diagnosis (β = -0.127, P < 0.001) was negatively associated with online help-seeking behaviors among cancer patients. In contrast, social support (β = 0.002, P = 0.003) and disease stigma (β = 0.170, P < 0.001) positively influenced their help-seeking behaviors in online health communities. Furthermore, while male and female cancer patients showed decreased help-seeking behaviors as time since diagnosis increased, the decline was less pronounced for females (β = 0.040, P < 0.001). The positive impact of disease stigma on help-seeking behaviors is stronger for female patients than male patients (β = 0.098, P < 0.001).</div></div><div><h3>Conclusion</h3><div>This research broadens the understanding of how cancer patients seek help in digital environments and enhances theoretical insights into these behaviors.</div></div>\",\"PeriodicalId\":54950,\"journal\":{\"name\":\"International Journal of Medical Informatics\",\"volume\":\"195 \",\"pages\":\"Article 105767\"},\"PeriodicalIF\":3.7000,\"publicationDate\":\"2024-12-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Medical Informatics\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1386505624004301\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Medical Informatics","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1386505624004301","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
The determinants of help-seeking behaviors among cancer patients in online health communities: Evidence from China
Objective
Although online health communities offer a new approach to patient interaction, the help-seeking behaviors of cancer patients within these platforms remain unexplored. This study aims to identify the determinants influencing online help-seeking behaviors among cancer patients.
Method
Based on motivation theory, we proposed six hypotheses and developed a research model. Data were collected from 1100 cancer patients who sought help in a leading Chinese online cancer community in March, June, and September 2023. We used the fixed-effect negative binomial model to test research hypotheses.
Results
The findings indicated that the time since diagnosis (β = -0.127, P < 0.001) was negatively associated with online help-seeking behaviors among cancer patients. In contrast, social support (β = 0.002, P = 0.003) and disease stigma (β = 0.170, P < 0.001) positively influenced their help-seeking behaviors in online health communities. Furthermore, while male and female cancer patients showed decreased help-seeking behaviors as time since diagnosis increased, the decline was less pronounced for females (β = 0.040, P < 0.001). The positive impact of disease stigma on help-seeking behaviors is stronger for female patients than male patients (β = 0.098, P < 0.001).
Conclusion
This research broadens the understanding of how cancer patients seek help in digital environments and enhances theoretical insights into these behaviors.
期刊介绍：
International Journal of Medical Informatics provides an international medium for dissemination of original results and interpretative reviews concerning the field of medical informatics. The Journal emphasizes the evaluation of systems in healthcare settings.
The scope of journal covers:
Information systems, including national or international registration systems, hospital information systems, departmental and/or physician''s office systems, document handling systems, electronic medical record systems, standardization, systems integration etc.;
Computer-aided medical decision support systems using heuristic, algorithmic and/or statistical methods as exemplified in decision theory, protocol development, artificial intelligence, etc.
Educational computer based programs pertaining to medical informatics or medicine in general;
Organizational, economic, social, clinical impact, ethical and cost-benefit aspects of IT applications in health care.
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