Anne-Sophie Baudry1, Laurence Vanlemmens2, Amelie Anota3, Alexis Cortot4, Guillaume Piessen5, Veronique Christophe6. 1. Univ. Lille, UMR CNRS 9193, SCALab, Sciences Cognitives et Sciences Affectives, Rue du Barreau, BP 60149, 59653, Villeneuve d'Ascq cedex, France. Electronic address: anne-sophie.baudry@univ-lille.fr. 2. Centre Oscar Lambret - Département de Sénologie, BP 307, F-59020, Lille cedex, France. Electronic address: l-vanlemmens@o-lambret.fr. 3. Methodology and Quality of Life in Oncology Unit (INSERM UMR 1098), University Hospital of Besançon, Besançon, France; French National Platform Quality of Life and Cancer, Besançon, France. Electronic address: aanota@chu-besancon.fr. 4. Univ. Lille, Department of Thoracic Oncology, Albert Calmette University Hospital, Lille, France. Electronic address: a.cortot@chru-lille.fr. 5. Univ. Lille, Department of Digestive and Oncological Surgery, Claude Huriez University Hospital, F-59000, Lille, France. Electronic address: g.piessen@chru-lille.fr. 6. Univ. Lille, UMR CNRS 9193, SCALab, Sciences Cognitives et Sciences Affectives, Rue du Barreau, BP 60149, 59653, Villeneuve d'Ascq cedex, France; French National Platform Quality of Life and Cancer, Besançon, France. Electronic address: veronique.christophe@univ-lille.fr.
Abstract
PURPOSE: This study aimed to identify profiles of caregivers to cancer patients at higher risk of having at least one moderately or highly unmet supportive care need based on 1) relevant socio-demographic (e.g. age, gender) and clinical (e.g. type of cancer, phase of the cancer pathway) variables highlighted in the literature and easily identifiable in routine, and 2) caregivers' anxiety and depression symptoms. METHOD: Three hundred and sixty-four main caregivers completed a questionnaire assessing their supportive care needs (SCNS-P&C-F) and anxiety and depression symptoms (HADS) during the treatment or follow-up stage of patients with digestive, breast, or lung cancer. Decision trees were used to identify profiles of caregivers with the Conditional inference Tree (CTree) technique. RESULTS: In our study, only the combination of three main variables was important to predict the risk of unmet supportive care needs of caregivers: anxiety and/or depression symptoms, the age of caregivers or patients, and the presence/absence of metastases. Emotional distress has the greatest impact, exceeding that of the socio-demographic and clinical variables considered in this study. CONCLUSIONS: This study shows the importance of considering a set of variables and their combinations rather than evaluating their effects separately. Routinely assessing the anxiety and depression symptoms of caregivers using the HADS could improve the screening of caregivers at higher risk of unmet supportive care needs based on socio-demographic and clinical variables only. This study provides recommendations on how to identify caregivers at risk of unmet needs, in the context of an inability to support all caregivers.
PURPOSE: This study aimed to identify profiles of caregivers to cancerpatients at higher risk of having at least one moderately or highly unmet supportive care need based on 1) relevant socio-demographic (e.g. age, gender) and clinical (e.g. type of cancer, phase of the cancer pathway) variables highlighted in the literature and easily identifiable in routine, and 2) caregivers' anxiety and depression symptoms. METHOD: Three hundred and sixty-four main caregivers completed a questionnaire assessing their supportive care needs (SCNS-P&C-F) and anxiety and depression symptoms (HADS) during the treatment or follow-up stage of patients with digestive, breast, or lung cancer. Decision trees were used to identify profiles of caregivers with the Conditional inference Tree (CTree) technique. RESULTS: In our study, only the combination of three main variables was important to predict the risk of unmet supportive care needs of caregivers: anxiety and/or depression symptoms, the age of caregivers or patients, and the presence/absence of metastases. Emotional distress has the greatest impact, exceeding that of the socio-demographic and clinical variables considered in this study. CONCLUSIONS: This study shows the importance of considering a set of variables and their combinations rather than evaluating their effects separately. Routinely assessing the anxiety and depression symptoms of caregivers using the HADS could improve the screening of caregivers at higher risk of unmet supportive care needs based on socio-demographic and clinical variables only. This study provides recommendations on how to identify caregivers at risk of unmet needs, in the context of an inability to support all caregivers.
Authors: Augusta Silveira; Teresa Sequeira; Joaquim Gonçalves; Pedro Lopes Ferreira Journal: Health Qual Life Outcomes Date: 2022-05-21 Impact factor: 3.077
Authors: Annika M Kisch; Karin Bergkvist; Anette Alvariza; Kristofer Årestedt; Jeanette Winterling Journal: Support Care Cancer Date: 2020-10-30 Impact factor: 3.603