ResearchTopics Publications In progress publications Communications
PackagesAnaQol Project PRO-online R Packages Online R-package
Life of the unitProjects Collaborations PhD thesis Traineeships Traineeships propositions Seminars
01 mai 2019
09 avril 2019
15 mars 2019
07 mars 2019
01 mars 2019
Updated24 mai 2019
A systematic review of dimensions evaluating patient experience in chronic illness
Background Living with a chronic disease often means experiencing chronic treatments and regular multidisciplinary monitoring as well as a profound life-changing experience which may impact all aspects of a patients life. The patient experience of chronic disease is frequently assessed by patient reported measures (PRMs) which incorporate patients perspectives to better understand how illness, treatment and care impact the entirety of a patient’s life. The purpose of this review was to collect and review different kinds of available PRM instruments validated for chronic patients, to produce an inventory of explored concepts in these questionnaires and to identify and classify all dimensions assessing chronic patients experience. Methods A systematic review of PRM instruments validated for chronic patients was conducted from three databases (Medline, the Cochrane library, and Psycinfo). Articles were selected after a double reading and questionnaires were classified according to their targeted concept. Then, all dimensions of the questionnaires were clustered into different categories. Results 107 primary validation studies of PRM questionnaires were selected. Five kinds of instruments were recorded: 1) Questionnaires assessing health related quality of life or quality of life; 2) Instruments focusing on symptoms and functional status; 3) Instruments exploring patients’ feelings and attitude about illness; 4) Questionnaires related to patients’ experience of treatment or healthcare; 5) Instruments assessing patients attitudes about treatment or healthcare. Twelve categories of dimensions were obtained from these instruments. Conclusions This review provided an overview of some of the dimensions used to explore chronic patient experience. A large PRM diversity exists and none of the reviewed and selected questionnaires covered all identified categories of dimensions of patient experience of chronic disease. Furthermore, the definition of explored concepts varies widely among researchers and complex concepts often lack a clear definition in the reviewed articles. Before attempting to measure chronic patient experience, researchers should construct appropriate instruments focusing on well-defined concepts and dimensions encompassing patient’s personal experience, attitude and adaptation to illness, treatment or healthcare.
Thèse(s) ou stage(s) lié(s) à cette publication
Publications ayant le même axe principal de recherche (Utilisation pratique des Mesures Subjectives en Santé)
Le Sache de Peufheiloux L, Benamara-Lévy M, Dionne M, Bodemer C, Leducq S, Samimi M, Maruani A(2018) Treatments and outcomes in juvenile linear scleroderma: a narrative systematic review. Eur J Dermatol, 28(5): 718-20. (Soumis) Toscano A, Blanchin M, Bourdon M, Dravet F, Quéreux G, Rosato R, Bonnaud-Antignac A, Sébille V(2018) Longitudinal associations between coping strategies, locus of control and health-related quality of life changes in patients with breast cancer or melanoma.
Blanchin M, Hardouin JB, Bonnaud-Antignac A, Sébille V(2016) Analysis of longitudinal patient reported outcomes data with Classical Test Theory and Rasch-based methods: an application on health-related quality of life in breast cancer patients. Statistica Applicata – Italian Journal of Applied Statistics, 27(1): 41-56. Ali A, Carré A, Hassler C, Spilka S, Vanier A, Barry C, Berthoz S(2016) Risk factors for substances use and misuse among young people in France: What can we learn from the Substance Use Risk Profile Scale?. Drug and Alcohol Dependence, 163: 84-91.
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. Anthoine E, Coutherut J, Delmas C, Moret L(2014) Facilitators and barriers of interprofessional collaboration regarding of perceived practices of sharing medical information and team communication. Journal of Interprofessional Care: . Moret L, Anthoine E, Gillet N, Fouquereau E, Colombat P(2013) Organisation du travail, démarche participative et satisfaction des patients hospitalisés : une évaluation dans 47 services d’oncohématologie. Psycho-Oncol, 8(3): 157-164.
Hardouin JB, Audureau E, Leplège A, Coste J(2012) Spatio-temporal Rasch analysis of Quality of life outcomes in the french general population. Measurement invariance and group comparisons . BMC Medical Research Methodology, 12: 182. Omnes C, Hardouin JB(2004) Belote et rebelote, comment éviter le dix de der ? (Suicide attempts : can we predict the recurrence ?). Revue française de psychiatrie et de psychologie médicale: 27-32.
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, 26(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.