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Chiara Acquati

Chiara Acquati

Assistant Professor of Social Work

Email: cacquati@Central.uh.edu
Phone: 713-743-4343

Current Curriculum Vitae

Personal Statement

Dr. Acquati’s scholarship has been deeply influenced by her professional and research experience with people with cancer, their families, and caregivers. Although cancer is a relational illness, most of her research has focused on the individual without taking into consideration the role of close relationships and the social environment where the individual copes with and adjusts to the disease. Dr. Acquati’s research focuses on understanding the impact of cancer on the quality of life of patients, their spouses/partners, and caregivers. As a scholar guided by systemic and relational models, she examines the role of relationship processes on the psychosocial adjustment and well-being. The broader aim of her work is to develop evidence-based interventions that capitalize on the dyad’s resources and promote individual and relational outcomes. In line with the Graduate College of Social Work’s mission, her research agenda is aimed at achieving social justice for individuals disproportionately impacted by cancer, their families, and caregivers through the enhancement of the quality of and access to psychosocial care.

Education

PhD, Kent School of Social Work, University of Louisville, 2016
MSW, Health and Mental Health, Graduate School of Social Work, Boston College, 2011
MS, Clinical Psychology, Department of Psychology, Università Cattolica del Sacro Cuore, 2007
BA, Psychological Sciences and Techniques, Department of Psychology, Università Cattolica del Sacro Cuore, 2005

Courses Taught

  • Research & Knowledge Building in Social Work Practice (SOCW6305)
  • Evaluation of Practice (SOCW7305)
  • Social Work In Health Care Settings (SOCW7397)

Research Interests

  • Stress and Coping
  • Close Relationships and Caregiving
  • Oncology Social Work
  • Dyadic Coping
  • Intervention Research, Couple-based Interventions
  • Methods: Dyadic Data Analysis, Mixed Methods