Patients with oesophageal cancer report elevated distress and problems yet do not have an explicit wish for referral prior to receiving their medical treatment plan

被引:20
作者
Jacobs, M. [1 ]
Anderegg, M. C. J. [2 ]
Schoorlemmer, A. [2 ]
Nieboer, D. [3 ]
Steyerberg, E. W. [3 ]
Smets, E. M. A. [1 ]
Sprangers, M. A. G. [1 ]
van Berge Henegouwen, M. I. [2 ]
de Haes, J. C. J. M. [1 ]
Klinkenbijl, J. H. [4 ]
机构
[1] Univ Amsterdam, Dept Med Psychol, Acad Med Ctr, Meibergdreef 5,POB 22660, NL-1100 DD Amsterdam, Netherlands
[2] Univ Amsterdam, Dept Surg, Acad Med Ctr, Amsterdam, Netherlands
[3] Erasmus MC, Dept Publ Hlth, Rotterdam, Netherlands
[4] Gelre Ziekenhuizen, Dept Surg, Apeldoorn, Netherlands
关键词
oesophageal cancer; distress; prediction; patient-reported outcomes; pre-surgery; QUALITY-OF-LIFE; SYMPTOM CLUSTERS; MULTIPLE IMPUTATION; DEPRESSION; SURVIVAL; SATISFACTION; THERMOMETER; SELECTION; SURGERY; TIME;
D O I
10.1002/pon.4161
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
ObjectiveThis study aims to identify patients with oesophageal cancer's level of distress, type of problems, and wish for referral prior to treatment. To identify the clinical relevance of patients with oesophageal cancer's level of distress and type of problems, we build models to predict elevated distress, wish for referral, and overall survival. MethodsWe implemented the Distress Thermometer and Problem List in daily clinical practice. A score of 5 on the Distress Thermometer reflected elevated distress. We first created an initial model including predictors based on the literature. We then added predictors to the initial model to create an extended model based on the sample data. We used the least absolute shrinkage and selection operator' to define our final model. ResultsWe obtained data from 187 patients (47.9%, of 390 eligible patients with oesophageal cancer) which were similar to non-respondents in their demographic and clinical characteristics. One-hundred thirteen (60%) patients reported elevated distress. The five most frequently reported problems were as follows: eating, tension, weight change, fatigue, and pain. Most patients did not have a wish for referral. Predictors for elevated distress were as follows: being female, total number of practical, emotional, and physical problems, pain, and fatigue. For referral, we identified age, the total number of emotional problems, the level of distress, and fear. The level of distress added prognostic information in a model to predict overall survival. ConclusionsPatients with oesophageal cancer report elevated distress and a myriad of problems yet do not have an explicit wish for referral prior to receiving their medical treatment plan. Copyright (c) 2016 John Wiley & Sons, Ltd.
引用
收藏
页码:452 / 460
页数:9
相关论文
共 46 条
[1]   Symptom clusters and prognosis in advanced cancer [J].
Aktas, Aynur ;
Walsh, Declan ;
Rybicki, Lisa .
SUPPORTIVE CARE IN CANCER, 2012, 20 (11) :2837-2843
[2]  
Barg F K, 1994, Cancer Pract, V2, P288
[3]   Variables with time-varying effects and the Cox model: Some statistical concepts illustrated with a prognostic factor study in breast cancer [J].
Bellera, Carine A. ;
MacGrogan, Gaetan ;
Debled, Marc ;
de lara, Christine Tunon ;
Brouste, Veronique ;
Mathoulin-Pelissier, Simone .
BMC MEDICAL RESEARCH METHODOLOGY, 2010, 10
[4]   Relationship of depression to patient satisfaction: findings from the barriers to breast cancer study [J].
Bui, QUT ;
Ostir, GV ;
Kuo, YF ;
Freeman, J ;
Goodwin, JS .
BREAST CANCER RESEARCH AND TREATMENT, 2005, 89 (01) :23-28
[5]   Symptom Clusters in Patients With Advanced Cancer: A Reanalysis Comparing Different Statistical Methods [J].
Chen, Emily ;
Nguyen, Janet ;
Khan, Luluel ;
Zhang, Liying ;
Cramarossa, Gemma ;
Tsao, May ;
Danjoux, Cyril ;
Barnes, Elizabeth ;
Sahgal, Arjun ;
Holden, Lori ;
Jon, Florencia ;
Chow, Edward .
JOURNAL OF PAIN AND SYMPTOM MANAGEMENT, 2012, 44 (01) :23-32
[6]  
Efron B, 1993, MONIOGRAPHS STAT APP
[7]   Survival benefits from neoadjuvant chemoradiotherapy or chemotherapy in oesophageal carcinoma: a meta-analysis [J].
Gebski, Val ;
Burmeister, Bryan ;
Smithers, B. Mark ;
Foo, Kerwyn ;
Zalcberg, John ;
Simes, John .
LANCET ONCOLOGY, 2007, 8 (03) :226-234
[8]   Screening for distress in cancer patients: is the distress thermometer a valid measure in the UK and does it measure change over time? A prospective validation study [J].
Gessler, S. ;
Low, J. ;
Daniells, E. ;
Williams, R. ;
Brough, V. ;
Tookman, A. ;
Jones, L. .
PSYCHO-ONCOLOGY, 2008, 17 (06) :538-547
[9]   Decrease in Depression Symptoms Is Associated With Longer Survival in Patients With Metastatic Breast Cancer: A Secondary Analysis [J].
Giese-Davis, Janine ;
Collie, Kate ;
Rancourt, Kate M. S. ;
Neri, Eric ;
Kraemer, Helena C. ;
Spiegel, David .
JOURNAL OF CLINICAL ONCOLOGY, 2011, 29 (04) :413-420
[10]   REGRESSION MODELING STRATEGIES FOR IMPROVED PROGNOSTIC PREDICTION [J].
HARRELL, FE ;
LEE, KL ;
CALIFF, RM ;
PRYOR, DB ;
ROSATI, RA .
STATISTICS IN MEDICINE, 1984, 3 (02) :143-152