A post intervention audit on monitoring of metabolic parameters in MH inpatients

  • Mr Guna Kanniah, Mental Health Services, Waikato Hospital, Waikato District Health Board, Hamilton, New Zealand, New Zealand
  • Dr Sana Hussain, Mental Health Services, Waikato Hospital, Waikato District Health Board, Hamilton, New Zealand, New Zealand
  • Background: In 2006 an audit on monitoring of metabolic parameters in MH inpatients on atypical antipsychotics revealed that baseline and subsequent measurements of these essential parameters to detect any early signs of glucose dysregulation and dyslipidemia being significantly poor. A campaign was carried out to ensure the implementation of relevant guidelines and re-education of service providers at all levels.

    Objective: To reassess the daily practice in monitoring of metabolic parameters in compliance with guidelines after strategic interventions.

    Methodology: A retrospective study of 100 in-patients diagnosed with mental disorders who were treated with one or more atypicals. Demographic data collected included NHI number, age, sex, date of admission, diagnosis, atypical antipsychotic prescribed, dose, personal /family history of metabolic diseases and its risk factors. Baseline measurements included body weight, height, BMI, blood pressure, fasting blood sugar and lipid profile.

    Results: Both cohorts were matched for diagnoses and the type of atypical antipsychotics prescribed along with metabolic parameters monitored. There was a 300 % improvement in baseline measurement of weight and lipid monitoring, both BP and FBS recorded a 15% while BMI had 11% improvement improved awareness by the campaign.

    Discussion: Improved clinician and relevant service providers' awareness by hospital wide awareness campaign leads to a significant improvement in the monitoring process for the metabolic syndromes. The improvement is more significant at baseline than at the indicated frequencies.

    Conclusions: The staff awareness and education exercise need to be ongoing to have significant impact on the measuring outcome of these parameters