Parents' and Clinicians' Perception of Severity of Referral Problems

Siobain Maguire1, Jeune Guishard-Pine2

  • 1University of East Anglia, School of Health, Policy and Practice, Norwich, UK.

Insights

Child and Adolescent Mental Health Services (CAMHS) referral priority ratings often misjudge severity. This study found discrepancies between clinician/parent perceptions and allocated ratings, suggesting a need for improved referral assessment systems.

Area of Science:

  • Child and Adolescent Mental Health
  • Healthcare Management
  • Clinical Psychology

Background:

  • Referral meetings in Child and Adolescent Mental Health Services (CAMHS) are standard for prioritizing cases based on urgency and severity.
  • Existing literature indicates that severity assessments during referral processes can be inaccurate.
  • High demand necessitates effective referral systems, yet current methods may not accurately reflect patient needs.

Purpose of the Study:

  • To evaluate the accuracy of a CAMHS referral system.
  • To compare priority ratings assigned by a Multi-Disciplinary Team (MDT) with parent and clinician perceptions of child's difficulties.
  • To identify potential areas for improvement in referral prioritization.

Main Methods:

  • The study analyzed data from a CAMHS outcome database.
  • Priority ratings from the MDT were compared against parental and individual clinician assessments of severity.
  • Perceptual data from parents and clinicians were collected to gauge their view of the child's difficulties.

Main Results:

  • Allocated priority ratings did not align with the perceptions of parents or individual clinicians.
  • Significant discrepancies were found between the MDT's severity assessments and those of parents and clinicians.
  • The findings indicate a potential flaw in the current referral prioritization process.

Conclusions:

  • The current system for prioritizing CAMHS referrals requires reform to improve accuracy.
  • Suggestions for enhancing the referral process include incorporating standardized measures into decision-making.
  • More accurate prioritization is crucial for effective resource allocation and timely patient care.
Abstract

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