A comprehensive assessment of satisfaction with care: preliminary psychometric analysis in an oncology institute in Italy

Ann Oncol. 1999 Jul;10(7):839-46. doi: 10.1023/a:1008393226195.

Abstract

Background: Little is known about patients' perception of the quality of the care they receive in oncology hospitals. We developed a 61-item comprehensive assessment of satisfaction with care (CASC) to evaluate the competence of hospital physicians and nurses, as well as aspects of care organisation and hospital environment. The aims of this study were to define the structure of the CASC and assess the internal consistency and convergent and discriminant validity of its scales.

Patients and methods: Three hundred ninety-five consecutive cancer patients discharged from an oncology institute in Italy were asked to complete the CASC at home and return it in a self-addressed envelope.

Results: Two percent of the patients refused to participate and 25% failed to return the questionnaire. Separate factor analyses of the CASC sub-scales disclosed the perceived extent of doctors' and nurses' availability, coordination, human quality, technical competence, provision of psychosocial care and information, as well as the patients' general satisfaction, perception of the organisation of their care, access and comfort. Multi-trait scaling analysis was carried out on item-grouping resulting from factor analyses. High levels of internal consistency and convergent validity were obtained but discriminant validity could be improved.

Conclusions: Results of present psychometric testing of the CASC forecast adequate properties. This will be confirmed by repeating these analyses in a cross-cultural setting.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Cancer Care Facilities / standards
  • Female
  • Humans
  • Italy
  • Male
  • Middle Aged
  • Neoplasms / psychology*
  • Neoplasms / therapy*
  • Patient Satisfaction*
  • Perception
  • Psychometrics / methods*
  • Quality of Health Care*
  • Reproducibility of Results
  • Surveys and Questionnaires