Measuring Activation in Parents of Youth with Emotional and Behavioral Disorders
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For parents of youth with emotional and behavioral disorders, activation, or having the knowledge, skills, and confidence to access and engage in appropriate services for their children, is important for managing their child’s mental health care. The Parent Activation Measure (PAM) was modified to create the Parent Patient Activation Measure-Mental Health (P-PAM-MH) to measure activation as part of a randomized controlled trial of a peer parent support intervention for parents of youth with emotional and behavioral problems. Results from this study provide initial support for use of the P-PAM-MH as a measure of activation in this population and for the reliability and validity of the measure. Implications of the findings from this study for research and practice in behavioral health are discussed.
The preparation of this article was supported in part by the Institute of Education Sciences, US Department of Education, through Grant R324A130180 to the University of Nebraska–Lincoln.
Compliance with Ethical Standards
Conflict of Interest
The authors declare that they have no conflicts of interest. The opinions expressed are those of the authors and do not represent views of the Institute or the US Department of Education.
- 1.DeCamp LR, Leifheitm K, Shah H, et al. Cross-cultural validation of the parent-patient activation measure in low income Spanish- and English-speaking parents. Patient Education and Counseling. 2016;99(12):2055–2062. Accessed June 1, 2017 at doi:10.1016/j.pec.2016.07.003.Google Scholar
- 5.Ruble L, Murray D, McGrew JH, Brevoort K, Wong VW. A preliminary study of activation, stress, and self-management of parents of children with autism spectrum disorder. Journal of Child and Family Studies. 2018; doi: https://doi.org/10.1007/s10826-017-0814-5
- 10.Oelstrom M, Lee J, Simpson P, et al. 562: Parent stress is not directly associated with parent activation in the PICU. Critical Care Medicine. 2015;43(12):142. doi: https://doi.org/10.1097/01.ccm.0000474390.12041.77.CrossRefGoogle Scholar
- 12.Duchnowski AJ, Kutash K, Green AL, et al. Parent support services for families of children with emotional disturbances being served in special education settings in elementary schools: An examination of data from the Special Education Elementary Longitudinal Study. Journal of Disability Policy Studies. 2012;24(1):36–52. Available online at doi: https://doi.org/10.1177/1044207312460889.
- 13.Wagner M, Newman L, Cameto R, et al. After high school: A first look at the postschool experiences of youth with disabilities: A report from the National Longitudinal Transition Study-2. Office of Special Education programs and U.S. Department of Education. SRI Project P11182. Menlo Park, CA: SRI International. 2005.Google Scholar
- 14.Jans L, Stoddard S, Kraus L, Chartbook on Mental Health and Disability in the United States. An InfoUse Report. U.S. Department of Education, National Institute on Disability and Rehabilitation Research. Washington, D.C. 2004.Google Scholar
- 15.Kutash K, Duchnowski AJ. Understanding the complexity of the children and families we serve. In S. Barrett L. Eber, M. Weist (Eds.). Advancing Education Effectiveness: Interconnecting School Mental Health and School-wide Positive Behavior Support. Accessed May 29, 2017 at: http://www.pbis.org/common/pbisresources/publications/Final-Monograph.pdf
- 17.Mayberry LS, Heflinger CA. How caregivers make meaning of child mental health problems: Toward understanding caregiver strain and help seeking. Families in Society-the Journal of Contemporary Human Services. 2013;94(2):105–113. doi: https://doi.org/10.1606/1044-3894.4286.CrossRefPubMedPubMedCentralGoogle Scholar
- 30.Mellor D. Furthering the use of the strengths and difficulties questionnaire: Reliability with younger child respondents. Psychological Assessment. 2004;(4):396.Google Scholar
- 34.Rasch G. Probabilistic Models for Some Intelligence and Attainment Tests. Copenhagen, The Danish Institute of Educational Research, 1960.Google Scholar
- 35.Linacre JM Constructing measurement with a many-facet Rasch model. In: M Wilson (Ed.) Objective Measurement: Theory in Practice. Vol. II. Newark NJ: Ablex. 1994.Google Scholar
- 36.Ullman JB. Structural equation modeling. In: BG Tabachnick, LS Fidell (Eds.), Using Multivariate Statistics, Fourth Edition. Boston, MA: Allyn & Bacon. 2001, pp. 653–771.Google Scholar
- 37.Wilson M Constructing Measures: An Item Response Modeling Approach. Mahwah, NJ: Erlbaum, 2004.Google Scholar
- 39.Linacre JM. KR-20/Cronbach Alpha or Rasch Person Reliability: Which tells the truth? Rasch Measurement Transactions. 1997;11(3):580–581.Google Scholar
- 40.Guilford JP. Fundamental statistics in psychology and education. New York: McGraw-Hill. 1695.Google Scholar
- 43.Kelley T, Ebel R, Linacre JM. Item discrimination indices. Rasch Measurement Transactions. 2002;16(3):883–884.Google Scholar
- 45.Kutash K, Duchnowski AJ, Green AL, et al. Supporting parents who have youth with emotional disturbances through a parent-to-parent support program: A proof of concept study using random assignment. Administration and Policy in Mental Health and Mental Health Services Research. 2011;38(5):412–427. doi: https://doi.org/10.1007/s10488-010-0329-5 CrossRefPubMedGoogle Scholar
- 48.Embretson SE, Reise SP. Item Response Theory for Psychologists, Mahwah, NJ: Lawrence Erlbaum Associates. 2000.Google Scholar
- 50.Hunter JE, Schmidt FL. Methods of Meta-analysis: Correcting Error and Bias in Research Findings, Newbury Park, CA: Sage. 1990.Google Scholar