[Design and validation of a satisfaction and quality of life scale for users of residential and social care centres]

Rev Esp Geriatr Gerontol. 2010 Nov-Dec;45(6):320-5. doi: 10.1016/j.regg.2010.04.008.
[Article in Spanish]

Abstract

Background: In a comprehensive approach to ageing care, the promotion of personal and emotional well-being is fundamental, as well as the development of tools to evaluate outcomes. This approach needs to take into account the subjective perception of the elderly by gathering evidence using indicators that express impacts and satisfaction. Thus, the SAR Foundation's Satisfaction and Quality of Life Scale (SyCV-FSAR) has been developed and validated to assess well-being in residential care settings.

Methods: Bibliographical reviews, interviews and focal groups with professionals (doctors, nurses, social workers, quality managers, etc.) were conducted to define the questionnaire that was first piloted and then applied in a final survey. Test of validity was carried out by factorial analysis (FA), principal axis factoring and Oblimin rotation. The sampling adequacy was measured by Kaiser-Meyer-Olkin test and Bartlett's sphericity. Test of reliability was carried out by internal consistency analysis (Cronbach's alpha).

Results: A total of 475 users took part in the survey, 69.1% of those who fulfilled the criteria. Of these 60.0% were women, an average age 82.1, 47.2% of them between 75 and 84 years old, with a MMSE of 27. The FA identified three factors ("Residential service and geriatric care", "Personal framework" and "Social relationships") that explained 27.5% of the total variability. The measure of sampling adequacy by Kaiser-Meyer-Olkin test was 0.80, and the Bartlett's sphericity test was significant (P<0.001). The global α Cronbach was 0.82.

Conclusions: According to the results obtained in the study we can conclude that the SyCV-FSAR Scale is a reliable, simple and easy-to-apply tool, which gathers the users' perception on key aspects of daily life in residential and social care centres.

Publication types

  • Validation Study

MeSH terms

  • Aged, 80 and over
  • Female
  • Homes for the Aged*
  • Humans
  • Male
  • Quality of Life*
  • Social Support*
  • Surveys and Questionnaires*