Coping and health service utilisation in a UK study of paediatric sickle cell pain

Arch Dis Child. 2002 May;86(5):325-9. doi: 10.1136/adc.86.5.325.

Abstract

Aims: To assess sickle cell pain and coping in children and to examine the relation between these factors and the utilisation of health services.

Methods: Cross sectional study involving 67 children with sickle cell disease attending three London hospitals. Interviews and questionnaires involved measures of pain, health service utilisation, and coping responses (measured with the Coping Strategies Questionnaire (CSQ), revised for children with sickle cell disease). Medical data on complications, haemoglobin (Hb) levels, and foetal haemoglobin (HbF) percentage were also collected.

Results: Pain accounted for about 24% of hospital service use, independent of age, sex, number of with sickle cell disease complications, and Hb levels. However, 42% of patients had not utilised hospital services in the past 12 months. Three higher order factors emerged from analysis of the CSQ (active coping, affective coping, passive adherence coping). Pain severity was predicted by passive adherence coping, while utilisation of hospital services was predicted by active coping.

Conclusions: Sickle cell disease in children involves severe recurrent pain leading to hospitalisation in some cases. Psychological coping patterns are relevant to both pain experience, and the use of acute hospital services. It is likely that children would benefit from community based interventions that incorporate both medical and psychological assessments.

Publication types

  • Multicenter Study

MeSH terms

  • Adaptation, Psychological*
  • Adolescent
  • Anemia, Sickle Cell / complications
  • Anemia, Sickle Cell / psychology
  • Anemia, Sickle Cell / therapy*
  • Child
  • Cross-Sectional Studies
  • Emergencies
  • Emergency Medical Services / statistics & numerical data
  • Family Practice / statistics & numerical data
  • Female
  • Hospitalization / statistics & numerical data
  • Humans
  • London
  • Male
  • Pain / psychology
  • Pain Management*
  • Patient Acceptance of Health Care / statistics & numerical data*
  • Recurrence
  • Regression Analysis