Psychometric properties of the spanish adaptation of the indicators of abuse (IOA) screen

  1. Carmen Touza 1
  2. Rosario Martínez-Arias 2
  3. Carmen Prado 3
  1. 1 Universitat de les Illes Balears
    info

    Universitat de les Illes Balears

    Palma, España

    ROR https://ror.org/03e10x626

  2. 2 Universidad Complutense de Madrid
    info

    Universidad Complutense de Madrid

    Madrid, España

    ROR 02p0gd045

  3. 3 Centro Universitario Cardenal Cisneros (Spain)
Mostrar afiliaciones +
Revista:
The Spanish Journal of Psychology

ISSN: 1138-7416

Año de publicación: 2018

Número: 21

Páginas: 1-12

Tipo: Artículo

DOI: 10.1017/SJP.2018.38 DIALNET GOOGLE SCHOLAR lock_openAcceso abierto editor

Otras publicaciones en: The Spanish Journal of Psychology

Resumen

The objectives of this study were to replicate the analyses conducted by the creators of the Indicators of Abuse (IOA) Screen with a Spanish sample group and compare the results, to present new validity evidences, to analyze which items were more relevant in the detection of situations of risk of abuse, and to establish a cut-off point to interpret the obtained scores. The IOA was used by 46 professionals from social services teams who assessed the situation of 231 elderly individuals and their main caregivers. The obtained results advocated towards unidimensionality of the scale. It showed a high level of internal consistency (α = .94). The Confidence Interval of 99% for the alpha coefficient was between .92 and .95. The ordinal alpha coefficient reached the value of .98. The total score of the scale showed adequate temporal stability (r = .91; p ≤ .001; N = 163). Statistically significant differences (t-test) in the mean scores of most of the items were found between cases of adequate treatment and cases of risk of abuse. The scale classified correctly 93% of all cases. The best balance between sensitivity and specificity was found at the cut-off point given by score 16 (Sensitivity = 0.94, Specificity = 0.85). The results appear to confirm the validity evidence of the instrument when used with a Spanish population. However, it is necessary to conduct further research and confirm the results with wider, more representative sample groups.

Referencias bibliográficas

  • Boomsma, A. (1982). Robustness of LISREL against small sample sizes in factor analysis models. In Joreskog, K. G. & Wold, H. (Eds.), Systems under indirect observation: Causality, structure, prediction. Part I (pp. 149–173). Amsterdam, The Netherlands: North Holland.
  • Brown, T. A. (2015). Confirmatory factor analysis for applied research (2nd Ed.). New York, NY: Guilford Press.
  • Cohen, M., Halevi-Levin, S., Gagin, R., & Friedman, G. (2006). Development of a screening tool for identifying elderly people at risk of abuse by their caregivers. Journal of Aging and Health, 18, 660–685. https://doi.org/10.1177/0898264306293257
  • DeLiema, M., Navarro, A., Enguidanos, S., & Wilber, K. (2015). Voices from the frontlines: Examining elder abuse from multiple professional perspectives. Health & Social Work, 40, e15–e24. https://doi.org/10.1093/hsw/hlv012
  • Dong, X. Q. (2015). Elder abuse: Systematic review and implications for practice. Journal of the American Geriatrics Society, 63, 1214–1238. https://doi.org/10.1111/jgs.13454
  • Dyer, C., Connolly, M., & McFeeley, P. (2003). The clinical and medical forensics of elder abuse and neglect. In National Research Council (Ed.), Elder mistreatment: Abuse, neglect, and exploitation in an aging America (pp. 339–381). Washington, DC: The National Academies Press.
  • European Comission (2015). Demography Report. Luxembourg, Luxembourg: Publications Office of the European Union. https://doi.org/10.2767/769227
  • Fulmer, T., Guadagno, L., & Dyer, C. B. (2004). Progress in elder abuse screening and assessment instruments. Journal of the American Geriatrics Society, 52, 297–304. https://doi.org/10.1111/j.1532-5415.2004.52074.x
  • Fornell, C. G., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.2307/3151312
  • Gadermann, A. M., Guhn, M., & Zumbo, B. D. (2012). Estimating ordinal reliability for Likert-type and ordinal item response data: A conceptual, empirical, and practical guide. Practical Assessment, Research & Evaluation, 17(3).
  • Gobierno, Vasco. Departamento de Empleo y Políticas Sociales (2015). Procedimiento de prevención y detección de malos tratos físicos y económicos a personas mayores en la CAPV [Procedure for the prevention and detection of physical and economic abuse to elderly people in the Basque Country]. Vitoria-Gasteiz, País Vasco: Servicio Central de Publicaciones del Gobierno Vasco.
  • Lachs, M. S., & Pillemer, K. A. (2015). Elder abuse. The New England Journal of Medicine, 373, 1947–1956. https://doi.org/10.1056/NEJMra1404688
  • Moore, C., & Browne, C. (2017). Emerging innovations, best practices, and evidence based practices in elder abuse and neglect: A review of recent developments in the field. Journal of Family Violence, 32, 383-397. https://doi.org/10.1007/s10896-016-9812-4
  • Mysyuk, Y., Westendorp, R. G. J., & Lindenberg, J. (2013). Added value of elder abuse definitions: A review. Ageing Research Reviews, 12(1), 50–57. https://doi.org/10.1016/j.arr.2012.04.001
  • National Center on Elder Abuse (2016). Frequently asked questions. Types of Abuse. Retrieved from National Center on Elder Abuse website https://ncea.acl.gov/faq/abusetypes.html
  • National Research Council (2003). Elder mistreatment: Abuse, neglect, and exploitation in an aging America. Washington, DC: The National Academies Press.
  • Pérez-Rojo, G., Nuevo, R., Sancho, M., & Penhale, B. (2015). Validity and reliability of the Spanish version of Caregiver Abuse Screen (CASE). Research on Aging, 37, 63–81. https://doi.org/10.1177/0164027514522275
  • Pillemer, K., Connolly, M.-T., Breckman, R., Spreng, N., & Lachs, M. S. (2015). Elder mistreatment: Priorities for consideration by the White House Conference on aging. The Gerontologist, 55, 320–327. https://doi.org/10.1093/geront/gnu180
  • Reis, M. (2000). The IOA Screen: An abuse-alert measure that dispels myths. Generations, 24(2), 13–16.
  • Reis, M., & Nahmiash, D. (1995). When seniors are abused: A guide to intervention. North York, Canada: Captus Press, Inc.
  • Reis, M., & Nahmiash, D. (1998). Validation of the Indicators of Abuse (IOA) Screen. The Gerontologist, 38, 471–480. https://doi.org/10.1093/geront/38.4.471
  • Reise, S. P., Moore, T. M., & Haviland, M. G. (2010). Bifactor models and rotations: Exploring the extent to which multidimensional data yield univocal scale scores. Journal of Personality Assessment, 92(6), 554–559. https://doi.org/10.1080/00223891.2010.496477
  • Rodriguez, A., Reise, S. P., & Haviland, M. G. (2016). Evaluating bifactor models: Calculating and interpreting statistical indices. Psychological Methods, 21(2), 137–150. https://doi.org/10.1037/met0000045
  • Tabachnick, B. G., & Fidell, L. S. (2012). Using multivariate statistics (6th Ed.). Cambridge, MA: Pearson.
  • Touza, C., Prado, C., & Segura, M. P. (2011). Construcción y validación de las Escalas de Detección de Riesgo de Malos Tratos Domésticos y Comportamientos Autonegligentes (EDMA) [Construction and validation of the Detection Scales for the Risk of Domestic Abuse and Self-negligent Behavior (EDMA)], International Journal of Psychology and Psychological Therapy, 11, 91–106.
  • Touza, C., Prado, C., & Segura, M. P. (2012). Detection scales for the Risk of Domestic Abuse and Self-Negligent Behavior in elderly persons (EDMA). Journal of Elder Abuse & Neglect, 24, 312–325. https://doi.org/10.1080/08946566.2012.661682
  • Wolf, E. J., Harrington, K. M., Clark, S. L., & Miller, M. W. (2013). Sample size requirements for structural equation models: An evaluation of power, bias, and solution propriety. Educational and Psychological Measurement, 73(6), 913–934. https://doi.org/10.1177/0013164413495237
  • World Health Organization (WHO) (2002). The Toronto declaration on the global prevention of elder abuse. Geneva, Switzerland: Author.
  • World Health Organization (2011). European report on preventing elder maltreatment. Rome, Italy: Author.
Fuente de los datos: Dialnet