The influences of social support expressed from doctors and disclosed from peers on patient decision-making: an analysis from the online health community
Abstract Patients are turning to OHCs to deal with the stresses and complications of infertility. As a stigmatized disease, infertile patients may value informational support and emotional support differently, which is ignored in existing studies. Based on social support theory, this study aims to r...
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Nature Portfolio
2025-01-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-024-85023-6 |
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| author | Beibei Yang Wei Lu Yan Xuan Chongqi Hao Xiaojun Huang |
| author_facet | Beibei Yang Wei Lu Yan Xuan Chongqi Hao Xiaojun Huang |
| author_sort | Beibei Yang |
| collection | DOAJ |
| description | Abstract Patients are turning to OHCs to deal with the stresses and complications of infertility. As a stigmatized disease, infertile patients may value informational support and emotional support differently, which is ignored in existing studies. Based on social support theory, this study aims to reveal the role of informational support and emotional support of doctors in infertile patient decision-making. We select Haodf.com as our data source and we collected information for all new patients of 2,989 doctors. we use Jieba word segmentation tool and TF-IDF algorithm to segment word and find keywords. Then random forest algorithm is used to classify 750 training texts and 250 test texts. We measure all the treatment experience of these new patients between September and December 2022 and then take the average value (TreatExpi). The sentiment analysis application program interface from Baidu AI-NLP is used to measure emotion state of patients and then the average value is included (EmoStai). In order to eliminate the influence of other factors, control variables including the number of patients online (#Patienti), the recommendation (Recommendationi), hospital level (Hleveli), doctor medical title (Mtitlei) and service price (Serpi). First, the effects of social support expressed from doctor and social support disclosed from peers show heterogeneity on patient decision-making. Second, the influences of informational support and emotional support also show difference. Third, the above relationships change with the characteristics of patients. Detecting different types and different sources of social support activities via text mining contributes to between understanding patient decision behavior in OHCs. This study contributes social support theory and OHC studies, and helps the management and design OHCs. |
| format | Article |
| id | doaj-art-151c15ef329d4f8789472cb379657ae9 |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Nature Portfolio |
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| series | Scientific Reports |
| spelling | doaj-art-151c15ef329d4f8789472cb379657ae92025-01-26T12:27:36ZengNature PortfolioScientific Reports2045-23222025-01-0115111110.1038/s41598-024-85023-6The influences of social support expressed from doctors and disclosed from peers on patient decision-making: an analysis from the online health communityBeibei Yang0Wei Lu1Yan Xuan2Chongqi Hao3Xiaojun Huang4Department of Sports Medicine, Hainan General Hospital (Hainan Affiliated Hospital of Hainan Medical University)School of Management, Hainan Medical UniversitySchool of Management, Hainan Medical UniversitySchool of Public Health, Shanxi Medical UniversitySchool of Management, Hainan Medical UniversityAbstract Patients are turning to OHCs to deal with the stresses and complications of infertility. As a stigmatized disease, infertile patients may value informational support and emotional support differently, which is ignored in existing studies. Based on social support theory, this study aims to reveal the role of informational support and emotional support of doctors in infertile patient decision-making. We select Haodf.com as our data source and we collected information for all new patients of 2,989 doctors. we use Jieba word segmentation tool and TF-IDF algorithm to segment word and find keywords. Then random forest algorithm is used to classify 750 training texts and 250 test texts. We measure all the treatment experience of these new patients between September and December 2022 and then take the average value (TreatExpi). The sentiment analysis application program interface from Baidu AI-NLP is used to measure emotion state of patients and then the average value is included (EmoStai). In order to eliminate the influence of other factors, control variables including the number of patients online (#Patienti), the recommendation (Recommendationi), hospital level (Hleveli), doctor medical title (Mtitlei) and service price (Serpi). First, the effects of social support expressed from doctor and social support disclosed from peers show heterogeneity on patient decision-making. Second, the influences of informational support and emotional support also show difference. Third, the above relationships change with the characteristics of patients. Detecting different types and different sources of social support activities via text mining contributes to between understanding patient decision behavior in OHCs. This study contributes social support theory and OHC studies, and helps the management and design OHCs.https://doi.org/10.1038/s41598-024-85023-6Online health communitiesSocial supportDecision behaviorPatient characteristicsInfertility |
| spellingShingle | Beibei Yang Wei Lu Yan Xuan Chongqi Hao Xiaojun Huang The influences of social support expressed from doctors and disclosed from peers on patient decision-making: an analysis from the online health community Scientific Reports Online health communities Social support Decision behavior Patient characteristics Infertility |
| title | The influences of social support expressed from doctors and disclosed from peers on patient decision-making: an analysis from the online health community |
| title_full | The influences of social support expressed from doctors and disclosed from peers on patient decision-making: an analysis from the online health community |
| title_fullStr | The influences of social support expressed from doctors and disclosed from peers on patient decision-making: an analysis from the online health community |
| title_full_unstemmed | The influences of social support expressed from doctors and disclosed from peers on patient decision-making: an analysis from the online health community |
| title_short | The influences of social support expressed from doctors and disclosed from peers on patient decision-making: an analysis from the online health community |
| title_sort | influences of social support expressed from doctors and disclosed from peers on patient decision making an analysis from the online health community |
| topic | Online health communities Social support Decision behavior Patient characteristics Infertility |
| url | https://doi.org/10.1038/s41598-024-85023-6 |
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