International Psychogeriatrics

Research Article

Adaptation and analysis of psychometric features of the Caregiver Risk Screen: a tool for detecting the risk of burden in family caregivers

Silvia Martinez-Rodrigueza1 c1, Nuria Ortiz-Marquésa1, Ioseba Iraurgia1, María Carrascoa1 and José J. Miguela2

a1 Faculty of Psychology and Education, University of Deusto, Bilbao, Spain

a2 Basque Society of Gerontology and Geriatrics, Bilbao, Spain

ABSTRACT

Background: There are a limited number of scales available in the Spanish language that can be used to detect burden among individuals who care for a dependent family member. The purpose of this work was to adapt and validate the Caregiver Risk Screen (CRS) scale developed by Guberman et al. (2001) (Guberman, N., Keefe, J., Fancey, P., Nahmiash, D. and Barylak, L. (2001). Development of Screening and Assessment Tools for Family Caregivers: Final Report. Montreal, Canada: Health Transition Fund).

Methods: The sample was made up of 302 informal caregivers of dependent family members (average age 57.3 years, and 78.9% were women). Scale structure was subjected to a confirmatory factor analysis. Concurrent and convergent validity were assessed by correlation with validated questionnaires for measuring burden (Zarit Burden Inventory (ZBI)) and psychological health (SCL-90-R).

Results: The results show a high level of internal consistency (Cronbach's alpha = 0.86), suitable fit of the one-dimensional model tested via confirmatory factor analysis (GFI = 0.91; CFI = 0.91; RMSEA = 0.097), and appropriate convergent validity with similar constructs (r = 0.77 with ZBI; and r-values between 0.45 and 0.63 with SCL-90-R dimensions).

Conclusions: The findings are promising in terms of their adaptation of the CRS to Spanish, and the results enable us to draw the conclusion that the CRS is a suitable tool for assessing and detecting strain in family caregivers. Nevertheless, new research is required that explores all the psychometric features on the scale.

(Received November 05 2012)

(Reviewed November 28 2012)

(Revised December 20 2012)

(Accepted December 25 2012)

(Online publication February 07 2013)

Key words:

  • aging;
  • care;
  • impairment;
  • stressors;
  • health;
  • structural equation modelling;
  • FACTOR program

Correspondence

c1 Correspondence should be addressed to: Silvia Martínez-Rodríguez, Faculty of Psychology and Education, University of Deusto, Avda. Universidades, 24. 48007 Bilbao, Spain. Phone: +34944139013. Email: silvia.martinez@deusto.es.