Audit of Data Collected on GDM Population in the Australian Capital Territory
Trish Ryan ¹, Alison Lancaster¹, Jiali Wang ², Teresa Neeman ²
Background: In July 2014, the ACT Health Diabetes Service added a new GDM data collection tab to the patient management system (ACTPAS). This is the first audit of the data collected and our aim was to describe the population and identify gaps in the data.
Method: Client GDM data entry into ACTPAS commenced on 1 July 2014. Quarterly reports from this date until 30 June 2017 were run and analysed using SPSS.
Results: Client numbers last half of 2014 (266), 2015 (686), 2016 (743) and first half of 2017 (382). Time between diagnosis and intervention ≤ 14 days (70.9%), >14 and ≤30 days (22.7%), >30 and ≤ 60days 5.3% Age Range 18-54yrs(mean 32.45yrs). Pre pregnancy BMI underweight 1.8%, normal 39.3%, overweight 27.7%, obese 30.8%. Gestational age at diagnosis ≤12/40 (2.8%), 13-24/40 (21.4%), ≥25/40 (75.8%). Family History of diabetes (53.8%). Prior GDM 13.1% (70.2% managed with diet; 26.8% required insulin). OGTT - point of first abnormal result: fasting BGL (49%), 1 hr (27%), 2 hr (24%).
Conclusion: The GDM tab data is easier to access and analyse, rather than the more time consuming process of reviewing individual patient files as was needed with previous attempts to describe our GDM population. Time between diagnosis and intervention is a potential KPI and gestational age at diagnosis has implications for resourcing. Problems identified with GDM tab : inconsistency in the definition of family history used by staff; ethnicity and stage of gestation at commencement of insulin are not on GDM tab but documented elsewhere. Ethnicity is needed for interpretation of BMI results and planning of culturally relevant educational strategies.