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30 novembre 2018 Julien Nizard et Adrien Evin Evaluation et de prise en charge de la qualité de vie dans le domaine de la Douleur, des Soins Palliatifs et des soins de support

18 décembre 2018 à définir à définir

Last publications

03 novembre 2018 Sauvaget A, Jiménez-Murcia S, Fernández-Aranda F, Granero R, Grall-Bronnec M, Victorri-Vigneau C, Bulteau S, Derkinderen P, Vanelle J, Hakansson A, Mestre-Bach G, Steward T, Menchón JM (2018) A Comparison of Treatment-Seeking Behavioral Addiction Patients with and without Parkinson's Disease. Front Psychiatry, 8: 214.

17 septembre 2018 Perrot B, Hardouin JB, Grall-Bronnec M, Challet G (2018) Typology of online lotteries and scratch games gamblers’ behaviours: a multilevel latent class cluster analysis applied to player account-based gambling data. International Journal of Methods in Psychiatric Research: .

15 août 2018 Tong A, Sautenet B, Poggio E, Lentine K, Oberbauer R, Mannon R, Murphy B, Padilla B, Chow K, Marson L, Chadban S, Craig J, Ju A, Manera K, Hanson C, Josephson M, Knoll G, SONG-Tx Graft Health Workshop Investigators (2018) Establishing a Core Outcome Measure for Graft Health: a Standardized Outcomes in Nephrology - Kidney Transplantation (SONG-Tx) Consensus Workshop Report. Transplantation, 102(8): 1358-66.

15 août 2018 Quénéhervé L, David G, Bourreille , Hardouin JB, Rahmi G, Neunlist M, Brégeon J, Coron E (2018) Quantitative assessment of mucosal architecture using computer-based analysis of confocal laser endomicroscopy in inflammatory bowel diseases. Gastrointestinal Endoscopy: under press.

27 juillet 2018 Couvrat-Desvergnes G, Foucher Y, Le Borgne F, Dion A, Mourad G, Garrigue V, Legendre C, Rostaing L, Kamar N, Kessler M, Ladrière M, Morelon E, Buron F, Giral M, Dantan E (2018) Comparison of graft and patient survival according to the transplantation centre policy for 1-year screening biopsy among stable kidney recipients: a propensity score-based study. Nephrol Dial Transplant: .

Updated

16 octobre 2018

Identifying trajectory clusters in breast cancer survivors' supportive care needs, psychosocial difficulties, and resources from the completion of primary treatment to 8 months later.

Auteurs

Brédart Anne
Merdy Olivier - Etudiant dans le M2 MPCE - EA4275
Sigal-Zafrani B
Fiszer Chavie
Dolbeault S.
Hardouin Jean-Benoit - Maitre de Conférences - HDR - Biostatistique - UFR de Pharmacie

Description

Nature : Articles dans une revue internationale
Thématique : Biostatistique et Mesures Subjectives en Santé
Rang : Rang A : publication porté par un membre de l'unité, dans le cadre de l'unité
Axe de recherche principal: Utilisation pratique des Mesures Subjectives en Santé
Sujet : Etudes Cliniques avec ou sans financement hors PHRC et STIC

Brédart A, Merdy O, Sigal-Zafrani B, Fiszer C, Dolbeault S, Hardouin JB (2016) Identifying trajectory clusters in breast cancer survivors' supportive care needs, psychosocial difficulties, and resources from the completion of primary treatment to 8 months later.. Supportive Care in Cancer, 24(1): 357-366.

Lien

Abstract

Purpose: This longitudinal study assessed the joint evolution of supportive care needs, distress, post-traumatic growth and perceived social support in the re-entry period shortly after breast cancer (BC) treatment. Clusters of patients defined by their patterns of change were estimated and described by socio-demographic, clinical and personality factors.

Methods: 426 women were invited to complete questionnaires at the last week of treatment, 4 and 8 months after. Outcomes were the ‘supportive care needs survey (SCNS-SF34-Fr)’, ‘Hospital Anxiety and Depression Scale (HADs)’, ‘Post-Traumatic Growth Inventory (PTGI)’ and ‘Social Support Questionnaire (SSQ)’. The ‘Rosenberg Self-Esteem Scale (RSES)’, ‘Experiences in Close Relationships scale (ECR-M16) and Satisfaction with Cancer Care (EORTC IN-PATSAT32) were assessed as predictors. Latent trajectories were obtained using Growth Mixture Modeling (GMM). Then a classification was performed by hierarchical agglomerative clustering (HAC) on the axes of a multiple factor analysis (MFA).

Results: Over assessment time points, response rate was 65%. Four clusters were identified including two groups (62%) with lower needs: one with high social support throughout the 8 month ; the other with low distress trajectories. The two other groups (38%) evidenced rising or high stable needs, and borderline or clinical distress trajectories. These later groups were characterized by an insecure attachment style and lower satisfaction with care, and either lower education or younger age and more frequent chemotherapy.

Conclusion: A third of ESBC survivors present unsatisfactory needs and psychosocial evolution shortly after treatment ends. Risk factors such as insecure attachment style, lower satisfaction with care, younger age, lower level of education and having undergone chemotherapy should raise clinical attention.

Keywords: Breast Neoplasms/psychology; Patient Care Management; Longitudinal Studies; Cluster Analysis

Thèse(s) ou stage(s) lié(s) à cette publication

Olivier Merdy : Evaluation longitudinales des besoins en soins de support pour les patientes ayant un cancer du sein (2014)

Publications ayant le même axe principal de recherche (Utilisation pratique des Mesures Subjectives en Santé)

Publications liées à l'axe principal de recherche (Utilisation pratique des Mesures Subjectives en Santé)

(Soumis) Bourdon M, Blanchin M, Campone M, Quéreux G, Dravet F, Sébille V, Bonnaud-Antignac A (2018) A comparison of post-traumatic growth changes in breast cancer and melanoma.
Hamel JF, Sébille V, Le Neel T, Kubis G, Boyer F, Hardouin JB (2017) What are the appropriate methods for analyzing patients reported outcomes in randomized trials when data are missing?. Statistical Methods in Medical Research, 16(6): 2897-2908.
Salmon M, Blanchin M, Rotonda C, Guillemin F, Sébille V (2017) Identifying patterns of adaptation in breast cancer patients with cancer-related fatigue using response shift analyses at subgroup level. Cancer Medicine, 6(11): 2562-2575.
de Bock E, Hardouin JB, Blanchin M, Le Neel T, Kubis G, Dantan E, Bonnaud-Antignac A, Sébille V (2016) Rasch-family models are more valuable than score-based approaches for analysing longitudinal PRO with intermittent missing data. Statistical Methods in Medical Research , 25(5): 2067–2087.
(Soumis) Blanchin M, Hardouin JB, Le Neel T, Kubis G, Sébille V (2016) CTT and Rasch-based approaches for joint analysis of group and time effects of longitudinal Patient Reported Outcomes: impact of dropout mechanisms..
Bonnaud-Antignac A, Tessier P, Nazih F, Quere M, Sébille V, Hardouin JB (2015) Stress, Qualité de vie et Santé des étudiants Suivi de cohortes en Première Année Commune d’Etude en Santé (PACES). Jounal de thérapie cognitive et comportementale: in press.
Blanchard C, Mathonnet M, Sebag F, Caillard C, Kubis C, Drui D, Van der Nuvel E, Ansquer C, Henry JF, Masson D, Kraeber-Bodéré F, Hardouin JB, zarnegar R, Hamy A, Mirallié E (2014) Quality of life is modestly improved in older patients with mild primary hyperparathyroidism postoperatively Results of a prospective multicenter study. Annals of Surgical Oncology, 21(11): 3534-3540.
Rat C, Quéreux G, Monnier A, Gautier J, Bonnaud-Antignac A, Khammari A, Dréno B, N'guyen S, Monegier du Sorbier M , Gaultier A (2014) Patients at elevated risk of melanoma: Individual predictors of non-compliance to GP referral for a dermatologist consultation. Preventive Medicine, 64: 48-53.
Rouquette A, Blanchin M, Sébille V, Guillemin F, Côté SM, Falissard B, Hardouin JB (2014) Determination of the Minimal Clinically Important Difference using Item Response Theory Models: an attempt to solve the issue of the association with baseline score. Journal of Clinical Epidemiology, 64(4): 433-440.
Clermidi P, Podevin G, Crétolle C, Sarnacki S, Hardouin JB (2013) The challenge of measuring quality of life for children with Hirschsprung's diseases or anorectal malformations. Journal of Pediatric Surgery, 48(10): 2118-2127.
Hamel JF, Hardouin JB, Le Neel T, Kubis G, Roquelaure Y, Sébille V (2012) Study of different methods for comparing groups by analysis of subjective health measurements. PLoS One, 7(10): e44695.
Bonnaud-Antignac A, Hardouin JB, Léger J, Dravet F, Sébille V (2012) Quality of life and coping of women treated for breast cancer and their caregivers. What are the interactions?. Journal of Clinical Psychology in Medical Settings, 19: 320-328.
Dely C, Sellier P, Dozol A, Segouin C, Moret L, Lombrail P (2012) Preventable readmissions of "community-acquired pneumonia": Usefulness and reliability of an indicator of the quality of care of patients' care pathways.. Presse Med, 9(1): 51-7.
Blanchin M (2011) Comparaison des approches CTT et IRT pour l'analyse des effets temps et groupe de données longitudinales de type Patient-Reported Outcomes et impact du dropout. Thèse de doctorat de l'Université de Nantes - Ecole doctorale Biologie Santé, 219 pages.
Lelorain S, Tessier P, Florin A, Bonnaud-Antignac A (2011) Predicting Mental Quality of Life in Breast Cancer Survivors Using Comparison Participants. Journal of Psychosocial Oncology, 29(4): 430-449.