Mental health diagnosis by nurses using the Global Mental Health Assessment Tool: a validity and feasibility study

Br J Gen Pract. 2008 Jun;58(551):411-6. doi: 10.3399/bjgp08X299218.

Abstract

Background: The Global Mental Health Assessment Tool-Primary Care Version (GMHAT/PC) has been developed to assist health professionals to make a quick and comprehensive standardised mental health assessment. It has proved to be a reliable and valid tool in a previous study involving GPs. Its use by other health professionals may help in detecting and managing mental disorders in primary care and general health settings.

Aim: To assess the feasibility of using a computer-assisted diagnostic interview by nurses and to examine the level of agreement between the GMHAT/PC diagnosis and psychiatrists' clinical diagnosis.

Design of study: Cross-sectional validation study.

Setting: Primary care, general healthcare (cardiac rehabilitation clinic), and community mental healthcare settings.

Method: A total of 215 patients between the ages of 16 and 75 years were assessed by nurses and psychiatrists in various settings: primary care centre (n = 54), cardiac rehabilitation centre (n = 98), and community mental health clinic (n = 63). The time taken for the interview, and feedback from patients and interviewers were indicators of feasibility, and the kappa coefficient (kappa), sensitivity, and specificity of the GMHAT/PC diagnosis were measures of validity.

Results: Mean duration of interview was under 15 minutes. The agreement between nurses' GMHAT/PC interview-based diagnosis and psychiatrists' International Classification of Diseases (ICD)-10 criteria-based clinical diagnosis was 80% (kappa = 0.76, sensitivity = 0.84, specificity = 0.92).

Conclusion: The GMHAT/PC can assist nurses to make accurate mental health assessment and diagnosis in various healthcare settings and it is acceptable to patients.

Publication types

  • Multicenter Study
  • Validation Study

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Community Mental Health Services
  • Cross-Sectional Studies
  • Diagnosis, Computer-Assisted / nursing*
  • Family Practice
  • Feasibility Studies
  • Female
  • Humans
  • Male
  • Mental Disorders / diagnosis*
  • Mental Disorders / nursing
  • Middle Aged
  • Psychiatric Status Rating Scales / standards*
  • Sensitivity and Specificity