Quality of Life Research

, Volume 23, Issue 7, pp 2089–2101

Evaluation properties of the French version of the OUT-PATSAT35 satisfaction with care questionnaire according to classical and item response theory analyses

  • M. Panouillères
  • A. Anota
  • T. V. Nguyen
  • A. Brédart
  • J. F. Bosset
  • A. Monnier
  • M. Mercier
  • J. B. Hardouin

DOI: 10.1007/s11136-014-0658-z

Cite this article as:
Panouillères, M., Anota, A., Nguyen, T.V. et al. Qual Life Res (2014) 23: 2089. doi:10.1007/s11136-014-0658-z



The present study investigates the properties of the French version of the OUT-PATSAT35 questionnaire, which evaluates the outpatients’ satisfaction with care in oncology using classical analysis (CTT) and item response theory (IRT).


This cross-sectional multicenter study includes 692 patients who completed the questionnaire at the end of their ambulatory treatment. CTT analyses tested the main psychometric properties (convergent and divergent validity, and internal consistency). IRT analyses were conducted separately for each OUT-PATSAT35 domain (the doctors, the nurses or the radiation therapists and the services/organization) by models from the Rasch family. We examined the fit of the data to the model expectations and tested whether the model assumptions of unidimensionality, monotonicity and local independence were respected.


A total of 605 (87.4 %) respondents were analyzed with a mean age of 64 years (range 29–88). Internal consistency for all scales separately and for the three main domains was good (Cronbach’s α 0.74–0.98). IRT analyses were performed with the partial credit model. No disordered thresholds of polytomous items were found. Each domain showed high reliability but fitted poorly to the Rasch models. Three items in particular, the item about “promptness” in the doctors’ domain and the items about “accessibility” and “environment” in the services/organization domain, presented the highest default of fit. A correct fit of the Rasch model can be obtained by dropping these items. Most of the local dependence concerned items about “information provided” in each domain. A major deviation of unidimensionality was found in the nurses’ domain.


CTT showed good psychometric properties of the OUT-PATSAT35. However, the Rasch analysis revealed some misfitting and redundant items. Taking the above problems into consideration, it could be interesting to refine the questionnaire in a future study.


Satisfaction with careOUT-PATSAT35 questionnaireCancerItem response theoryClassical test theory



Akaike information criterion




Classical test theory


Differential item functioning


Exploratory factor analysis


European Organization for Research and Treatment of Cancer


Health-related quality of life


Item response theory


Principal component analysis


Partial credit model


Patient-reported outcomes


Satisfaction with care


Standard deviation


Rating scale model



Supplementary material

11136_2014_658_MOESM1_ESM.doc (70 kb)
Supplementary material 1 (DOC 69 kb)
11136_2014_658_MOESM2_ESM.doc (30 kb)
Supplementary material 2 (DOC 30 kb)
11136_2014_658_MOESM3_ESM.doc (54 kb)
Supplementary material 3 (DOC 53 kb)

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • M. Panouillères
    • 1
    • 3
  • A. Anota
    • 1
    • 2
    • 3
  • T. V. Nguyen
    • 1
  • A. Brédart
    • 4
  • J. F. Bosset
    • 1
    • 5
  • A. Monnier
    • 6
  • M. Mercier
    • 1
    • 2
  • J. B. Hardouin
    • 7
    • 8
  1. 1.EA3181University of Franche-ComteBesançonFrance
  2. 2.Quality of Life in Oncology Clinical Research PlatformBesançonFrance
  3. 3.Methodological and Quality of Life in Oncology UnitUniversity Hospital of BesançonBesançonFrance
  4. 4.Psycho-Oncology UnitInstitut CurieParisFrance
  5. 5.Oncology-Radiotherapy DepartmentBesançon University HospitalBesançonFrance
  6. 6.Radiotherapy DepartmentMontbeliard HospitalMontbeliardFrance
  7. 7.EA4275-SPHEREUniversity of NantesNantesFrance
  8. 8.Unit of Biostatistics and MethodologyUniversity Hospital of NantesNantesFrance