Influencing of Family Management in Families with Thalassemic Children on Health Related Quality of Life and Family Functioning: SEM approach


  • Orranuch CHUSRI Faculty of Nursing, Suan Dusit University, Bangkok 10300
  • Wannee DEOISRES Faculty of Nursing, Burapha University, Chon Buri 20130
  • Marcia van RIPER Faculty of Nursing, University of North Carolina at Chapel Hill, North Carolina



Family management, family functioning, health related quality of life, children with thalassemia, parental perception


Purpose: To predicate the way in which families incorporate the work of managing a child with thalassemia within family life and its outcomes. Methods: A correlational design with a structural equation modeling (SEM) approach was used. A total of 309 parents of children with thalassemia from 4 tertiary care hospitals in Thailand completed our questionnaires. Results: Family life difficulties had a negative influence on the child’s health-related quality of life (HRQOL) (b = -2.23, p < 0.05) and family functioning (b = -0.27, p < 0.05), whereas the child’s daily life (b = 5.06, p < 0.05) and condition management ability (b = -1.86, p < 0.05) had a negative influence on the child’s HRQOL. In the final model, 3 variables including the child’s daily life, condition management ability, and family life difficulty could explain 33 % of variance in the child’s HRQOL (R2 = 0.33). This model showed that only family life difficulty could explain 2 % of variance of family functioning (R2 = 0.02). Conclusions: The study suggests that nurses should design interventions to support families in managing their child’s conditions in order to achieve a good child and family outcomes.


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Author Biography

Wannee DEOISRES, Faculty of Nursing, Burapha University, Chon Buri 20130

Faculty of Nursing

Burapha University

Chonburi, Thailand


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How to Cite

CHUSRI, O., DEOISRES, W., & RIPER, M. van. (2017). Influencing of Family Management in Families with Thalassemic Children on Health Related Quality of Life and Family Functioning: SEM approach. Walailak Journal of Science and Technology (WJST), 16(1), 27–38.