Evaluation of a Waiting List Initiative in a Child and Adolescent Mental Health Service

Carmen Clemente1, Rita McGrath2, Clare Stevenson3

  • 1Royal Free Hospital, Pond Street, London NW3 2QG, UK.

Insights

The new Initial Assessment (IA) system for managing referrals significantly reduced waiting times and did not attend (DNA) rates in child mental health services. Staff reported improved team morale, suggesting cost savings for the NHS.

Area of Science:

  • Child and Adolescent Mental Health
  • Healthcare Management Systems
  • Service Delivery Improvement

Background:

  • Evaluating the effectiveness of new referral management systems in child mental health services.
  • Assessing the impact of Initial Assessment (IA) on key performance indicators compared to existing procedures.
  • Focus on improving patient flow, reducing missed appointments, and enhancing team dynamics.

Purpose of the Study:

  • To evaluate the Initial Assessment (IA) system for referral management.
  • To compare IA's impact on waiting times, DNA rates, and team working against the current system.
  • To assess staff and user perceptions of the IA system.

Main Methods:

  • Comparative study over 6 months in child mental health services.
  • Utilized administrative records, child functioning measures, and staff/user questionnaires.
  • Intervention group used IA; control group used the existing system.

Main Results:

  • IA system demonstrated significantly shorter average waiting times (9 weeks) and lower DNA rates (10%).
  • Patient populations were comparable in case severity across both systems.
  • Staff reported enhanced team working and morale, despite increased individual time pressure; users accepted the system.

Conclusions:

  • Improved team morale and collegial support associated with IA may offset increased time pressure.
  • The IA system shows potential for substantial cost savings within the National Health Service (NHS).
  • IA is an effective model for improving efficiency and staff satisfaction in child mental health referral management.
Abstract