Management of childhood obesity: An audit of clinical practice in secondary care.

AIM: Childhood obesity continues to be a major health issue for children world-wide, with well-recognised major health effects. This study evaluated the prevalence of obesity in children presenting to secondary care in Southern New Zealand, as well as their clinical management. METHODS: Obesity prevalence was determined by a review of data contained in the electronic anthropometry database in the region for the period 19 July 2010-16 July 2015. All clinical records were further examined using a standard data extraction form for 333 obese children regarding their clinical management. RESULTS: A total of 8551 individuals were identified in the database for review. The prevalence of overweight and obesity was higher than the average national rates but stable over the 5-year period. Children of Maori and Pacific Island ethnicity, those most deprived and males were over-represented in terms of obesity. Of the 333 obese children whose clinical management was examined, 45.0% received a diagnosis of obesity. Of those diagnosed, 24.7% had further investigations related to possible obesity complications, and 72.7% were given management plans. Older females were more likely to receive clinical intervention, while Maori and Pacific Island children were less likely. CONCLUSIONS: Of the children seen in this secondary care setting, 40% are overweight or obese, and yet the rate of clinical intervention left room for improvement, suggesting a need for further staff education and clear guidelines. Maori and Pacific Island children have higher obesity burden but were less likely to receive clinical intervention. This may highlight a need for specific education regarding cultural practices.

Introduction and uptake of electronic growth charts in southern New Zealand.

AIM: The introduction of an electronic system for recording and displaying growth measurements replaces multiple paper growth charts and theoretically improves the availability and consistency of information to support clinical decision-making. Introducing this in a single New Zealand District Health Board provided the opportunity to evaluate usage in hospital settings and determine the uptake of growth recording in a defined population. METHODS: All records between 2010 and 2015 in the Southern District Health Board (SDHB) anthropometry database were downloaded and examined in a retrospective cohort analysis. Records were extracted after matching to demographic and clinical setting data from the hospital patient management system. RESULTS: Analysis included 30 670 data entry points, representing 8551 children. Data entry increased over time to a maximum of 8407 observations in 2015. By the fifth year of use, up to 67% of available clinical encounters had anthropometry recorded in the outpatient department. Rates were lower in the inpatient setting, where only up to 18.4% had anthropometry recorded. The errors identified were low (0.2% of all data). Weight was the most commonly recorded measurement (98.2% of anthropometry entries, 35.1% of available clinical presentations). Height was available for 82.6% of entries and 29.5% of presentations. A body mass index z-score was available for 81.5% of entries and 29.1% of presentations. A head circumference was available for 50.2% of children <2 years age who had anthropometry recorded. CONCLUSIONS: The introduction of an electronic anthropometry database has been successful with increasing rates of use over time, especially in outpatient clinics. Further focus to improve inpatient recording of height and weight is needed.