M. Lee, A. Ranchor, B. Garssen, R. Sanderman, M. Schroevers, C. Roelen
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Predictor scores at T1 were used to predict return to work at T3. Discrimination between patients with and without return to work at T3 was investigated with receiver operating characteristic (ROC) analysis and expressed as the area under the ROC curve (AUC). Results: At T1, 174 participants (79%) were off work due to sickness and 119 (68%) had returned to work at T3. Therapists and patients identified psychological symptoms, quality of life, comorbidity, helplessness, acceptation, mastery, stressful life-events, well-being, and domestic and social functioning as being important for predicting return to work. Domestic functioning was the strongest predictor of return to work at T3. The prediction model including all identified predictor variables did not discriminate between patients with and without return to work at T3, with AUC = 0.652 (95% CI 0.553–0.751). Conclusions: These results suggest that, although psychological symptoms are important at face validity for return to work after cancer, in patients that received help for psychological symptoms, they do not predict return to work.","PeriodicalId":92902,"journal":{"name":"Health psychology bulletin","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Predictors of Returning to Work after Receiving Specialized Psycho-Oncological Care\",\"authors\":\"M. Lee, A. Ranchor, B. Garssen, R. Sanderman, M. Schroevers, C. Roelen\",\"doi\":\"10.5334/hpb.4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Objectives: This study aimed to identify predictors of returning to work in a group of cancer patients that sought and received help from mental health care institutes specialized in psycho-oncological therapy. Moreover we identified which psychosocial factors were seen as important for returning to work by these patients and therapists working at these institutes. Method: This naturalistic study focused on cancer patients who applied for help at specialized psycho-oncology institutions in the Netherlands. Data were collected before the start of psychological care (T1), and three (T2) and nine (T3) months thereafter. Predictors of return to work were identified based on the opinion of therapists and patients from psycho-oncology institutions in the Netherlands. Predictor scores at T1 were used to predict return to work at T3. Discrimination between patients with and without return to work at T3 was investigated with receiver operating characteristic (ROC) analysis and expressed as the area under the ROC curve (AUC). Results: At T1, 174 participants (79%) were off work due to sickness and 119 (68%) had returned to work at T3. Therapists and patients identified psychological symptoms, quality of life, comorbidity, helplessness, acceptation, mastery, stressful life-events, well-being, and domestic and social functioning as being important for predicting return to work. Domestic functioning was the strongest predictor of return to work at T3. The prediction model including all identified predictor variables did not discriminate between patients with and without return to work at T3, with AUC = 0.652 (95% CI 0.553–0.751). Conclusions: These results suggest that, although psychological symptoms are important at face validity for return to work after cancer, in patients that received help for psychological symptoms, they do not predict return to work.\",\"PeriodicalId\":92902,\"journal\":{\"name\":\"Health psychology bulletin\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-02-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Health psychology bulletin\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5334/hpb.4\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Health psychology bulletin","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5334/hpb.4","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
摘要
目的:本研究旨在确定一组寻求并接受心理肿瘤治疗专业精神卫生保健机构帮助的癌症患者重返工作岗位的预测因素。此外,我们还确定了哪些社会心理因素对于这些患者和在这些研究所工作的治疗师重返工作岗位是重要的。方法:本自然主义研究集中于在荷兰的专业心理肿瘤机构申请帮助的癌症患者。数据收集于心理护理开始前(T1)、开始后3个月(T2)和9个月(T3)。根据荷兰心理肿瘤机构的治疗师和患者的意见,确定了重返工作岗位的预测因素。T1时的预测分数用于预测T3时的重返工作。采用受试者工作特征(ROC)分析,以ROC曲线下面积(AUC)表示,对T3时是否重返工作的患者进行区分。结果:在T1时,174名参与者(79%)因病离职,119名(68%)在T3时返回工作岗位。治疗师和患者确定心理症状、生活质量、共病、无助、接受、掌握、压力生活事件、幸福感、家庭和社会功能是预测重返工作岗位的重要因素。家庭功能是T3患者重返工作岗位的最强预测因子。包括所有确定的预测变量的预测模型对T3时是否恢复工作的患者没有区别,AUC = 0.652 (95% CI 0.553-0.751)。结论:这些结果表明,虽然心理症状在癌症后重返工作岗位的表面效度上很重要,但在接受心理症状帮助的患者中,他们并不预测重返工作岗位。
Predictors of Returning to Work after Receiving Specialized Psycho-Oncological Care
Objectives: This study aimed to identify predictors of returning to work in a group of cancer patients that sought and received help from mental health care institutes specialized in psycho-oncological therapy. Moreover we identified which psychosocial factors were seen as important for returning to work by these patients and therapists working at these institutes. Method: This naturalistic study focused on cancer patients who applied for help at specialized psycho-oncology institutions in the Netherlands. Data were collected before the start of psychological care (T1), and three (T2) and nine (T3) months thereafter. Predictors of return to work were identified based on the opinion of therapists and patients from psycho-oncology institutions in the Netherlands. Predictor scores at T1 were used to predict return to work at T3. Discrimination between patients with and without return to work at T3 was investigated with receiver operating characteristic (ROC) analysis and expressed as the area under the ROC curve (AUC). Results: At T1, 174 participants (79%) were off work due to sickness and 119 (68%) had returned to work at T3. Therapists and patients identified psychological symptoms, quality of life, comorbidity, helplessness, acceptation, mastery, stressful life-events, well-being, and domestic and social functioning as being important for predicting return to work. Domestic functioning was the strongest predictor of return to work at T3. The prediction model including all identified predictor variables did not discriminate between patients with and without return to work at T3, with AUC = 0.652 (95% CI 0.553–0.751). Conclusions: These results suggest that, although psychological symptoms are important at face validity for return to work after cancer, in patients that received help for psychological symptoms, they do not predict return to work.