Psychosocial service needs of pediatric transport accident survivors: Using clinical data-mining to establish demographic and service usage characteristics

Soc Work Health Care. 2016 Sep;55(8):595-613. doi: 10.1080/00981389.2016.1207746.

Abstract

The objectives in this article are the exploration of demographic and service usage data gained through clinical data mining audit and suggesting recommendations for social work service delivery model and future research. The method is clinical data-mining audit of 100 sequentially sampled cases gathering quantitative demographic and service usage data. Descriptive analysis of file audit data raised interesting trends with potential to inform service delivery and usage; the key areas of the results included patient demographics, family involvement and impact, and child safety and risk issues. Transport accidents involving children often include other family members. Care planning must take into account psychosocial issues including patient and family emotional responses, availability of primary carers, and other practical needs that may impact on recovery and discharge planning. This study provides evidence to plan for further research and development of more integrated models of care.

Keywords: Acute psychosocial care; clinical data-mining; hospital social work; pediatric social work; practice-based research.

MeSH terms

  • Accidents / psychology*
  • Accidents / statistics & numerical data*
  • Adolescent
  • Adult
  • Caregivers / psychology*
  • Child
  • Child, Preschool
  • Data Mining
  • Female
  • Humans
  • Infant
  • Infant, Newborn
  • Male
  • Social Support*
  • Socioeconomic Factors
  • Survivors / psychology*