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Published on: October 17, 2025
A longitudinal study of supportive care needs among Chinese parents of children with acute lymphoblastic leukemia
Jingting Wang1, Zhuting Zheng2, Tian Jin2
1School of Nursing, Naval Medical University, Shanghai, China.
Insights
Parental supportive care needs for children with leukemia peak post-diagnosis and decline during treatment. Key factors like education and income predict these evolving needs, guiding tailored interventions.
Area of Science:
- Pediatric Oncology
- Health Psychology
- Sociology of Health
Background:
- Parental supportive care needs are crucial during a child's cancer diagnosis and treatment.
- Understanding the trajectory of these needs is essential for effective family-centered care.
Purpose of the Study:
- To determine parents' supportive care needs trajectories over 8 months post-diagnosis.
- To identify predictors of these evolving supportive care needs in parents of children with leukemia.
Main Methods:
- Latent class growth modeling (LCGM) and growth mixture modeling (GMM) were used to identify need trajectories.
- Logistic regression identified factors predicting trajectory patterns among 100 Chinese parents.
- Supportive care needs were assessed across six domains at four key time points.
Main Results:
- Parents' supportive care needs peaked immediately after diagnosis, declining throughout treatment.
- Distinct trajectories were identified across six supportive care domains (health care, daily care, psychological, medical, economic, emotional).
- Predictors included education, employment, income, residency, medical payment type, caregiving time, child's age, and parental self-efficacy.
Conclusions:
- This study reveals dynamic, distinct trajectories in parental supportive care needs during pediatric cancer treatment.
- Findings support developing stage- and population-specific interventions for family-centered care.
- Results inform policy formulation for optimizing supportive care in pediatric oncology.
Objective:
To determine parents' supportive care needs trajectories over the first 8 months following their children's diagnosis and identify the predictors of these trajectories.
Methods:
Overall, 100/112 Chinese parents of children newly diagnosed with ALL were recruited. The parents' supportive care needs were tracked at four key time points when the needs were most likely to change: post-diagnosis, induction remission phase, consolidation therapy phase, and post-acute treatment. Latent class growth modeling (LCGM) or growth mixture model (GMM) was used to identify trajectories within each of six needs domains of supportive care needs. Logistic regression was used to identify factors predicting trajectory patterns.
Results:
Overall, parents' supportive care needs peaked immediately after diagnosis, declined throughout treatment, and stabilized between the consolidation and post-acute stages. Notably, the trajectories of each domain varied across parent subgroups. Three health care and informational needs trajectories, two daily care and communication needs trajectories, two psychological and spiritual needs trajectories, two medical service needs trajectories, three economic needs trajectories, and two emotional needs trajectories were identified. The class membership was significantly associated with parents' education level, employment status, the family's residency area, average monthly household income, type of medical payment, daily caregiving time, age of child, single child, parents' self-efficacy, and caregiving ability (P < 0.05).
Conclusions:
This study identified the dynamic evolution and distinct trajectories of parents' supportive care needs, along with their key predictors. The findings provide a solid foundation for developing stage- and population-specific interventions, offering practical guidance for optimizing family-centered care and informing supportive policy formulation in pediatric oncology settings.
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