Identifying and Integrating Parent Priorities for Psychosocial Support Services in a Pediatric Cystic Fibrosis Clinic

J Clin Psychol Med Settings. 2019 Jun;26(2):235-241. doi: 10.1007/s10880-018-9588-1.

Abstract

Engaging parents early in the development of psychosocial support programs in cystic fibrosis (CF) clinics may enable services and care team recommendations to be tailored appropriately. This pilot study identified psychosocial priorities of parents of children with CF related to treatment adherence, parent/child mental health, and CF-related communication. Forty parents of children with CF (2 months to 17 years) completed an anonymous 17-item survey during routine clinic visits that assessed priorities related to psychosocial services. Elements of a quality improvement framework were used to develop the survey and determine recommendations based on findings. Parents reported the most interest in support related to improving adherence to respiratory therapies and helping children complete treatments independently. Other priority areas included services that helped children cope with feelings of isolation or abnormality due to CF and strategies to improve communication with the care team. Additionally, the majority of families indicated that they preferred receiving psychosocial services during routine clinic visits, followed by periodic parent workshops. Based on survey results, the psychosocial team at our center developed a survey/response model (e.g., roundtables, workshops) that may serve useful for other CF care teams as they identify the priorities of parents and adapt to their needs.

Keywords: Adherence; Children; Cystic fibrosis; Families; Psychosocial priorities.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Child
  • Cystic Fibrosis / psychology*
  • Female
  • Health Communication / methods*
  • Humans
  • Infant
  • Male
  • Parents / psychology*
  • Pediatrics / methods
  • Pilot Projects
  • Social Support*
  • Surveys and Questionnaires / statistics & numerical data