Implementation and use of a national electronic dashboard to guide COVID-19 clinical management in Fiji.

Problem: From April to September 2021, Fiji experienced a second wave of coronavirus disease (COVID-19) precipitated by the Delta variant of concern, prompting a need to strengthen existing data management of positive COVID-19 cases. Context: With COVID-19 cases peaking at 1405 a day and many hospital admissions, the need to develop a better way to visualize data became clear. Action: The Fiji Ministry of Health and Medical Services, the World Health Organization and the United Nations Office for the Coordination of Humanitarian Affairs collaborated to develop an online clinical dashboard to support better visualization of case management data. Outcome: The dashboard was used across Fiji at national, divisional and local levels for COVID-19 management. At the national level, it provided real-time reports describing the surge pattern, severity and management of COVID-19 cases across the country during daily incident management team meetings. At the divisional level, it gave the divisional directors access to timely information about hospital and community isolation of cases. At the hospital level, the dashboard allowed managers to monitor trends in isolated cases and use of oxygen resources. Discussion: The dashboard replaced previous paper-based reporting of statistics with delivery of trends and real-time data. The team that developed the tool were situated in different locations and did not meet physically, demonstrating the ease of implementing this online tool in a resource-constrained setting. The dashboard is easy to use and could be used in other Pacific island countries and areas.

Incidence and prevalence of diabetes in children aged <15 yr in Fiji, 2001-2012.

OBJECTIVE: Determine the incidence and prevalence of diabetes in children <15 yr in Fiji. METHODS: Data on all new cases from 2001 to 2012 was collected from the three paediatric diabetes services through the International Diabetes Federation Life for a Child Program. There was no formal secondary ascertainment source, however the medical community is small and all known cases are believed to be included. RESULTS: Forty-two children aged <15 yr were diagnosed from 2001 to 2012. Twenty-eight were type 1 (66.7%), 13 type 2 (31.0%), and 1 (2.4%) had neonatal diabetes (INS gene mutation). For type 1, the mean ± standard deviation (SD) age of diagnosis was 10.2 ± 2.9 yr, with similar proportions of males and females. Four (14.3%) were native Fijians and 24 (86.7%) were of Indo-Fijian descent (p < 0.001). The mean annual incidence of type 1 in children <15 yr was 0.93/100,000 and prevalence in 2012 was 5.9/100,000. There was no evidence of a rise in incidence, but low numbers would preclude recognition of a small increased rate. For the 13 cases of type 2 diabetes, the mean SD age of diagnosis was 12.2 ± 2.7 yr, 85% were female (p < 0.01), and 85% were of Indo-Fijian descent (p = 0.001). The mean annual incidence of type 2 was 0.43/100,000 and 2012 prevalence was 2.4/100,000. No child with diabetes aged <15 yr died during the 12-yr period. CONCLUSIONS: The incidence of type 1 diabetes in Fiji is very low. Furthermore, its occurrence is markedly more frequent in Indo-Fijians than in native Fijians. Type 2 and neonatal diabetes also occur.

Improving maternal and child health systems in Fiji through a perinatal mortality audit.

OBJECTIVE: To develop a standardized process of perinatal mortality audit (PMA) and improve the capacity of health workers to identify and correct factors underlying preventable deaths in Fiji. METHODS: In a pilot study, clinicians and healthcare managers in obstetrics and pediatrics were trained to investigate stillbirths and neonatal deaths according to current guidelines. A pre-existing PMA datasheet was refined for use in Fiji and trialed in three divisional hospitals in 2011-12. Key informant interviews identified factors influencing PMA uptake. RESULTS: Overall, 141 stillbirths and neonatal deaths were analyzed (57 from hospital A and 84 from hospital B; forms from hospital C excluded because incomplete/illegible). Between-site variations in mortality were recorded on the basis of the level of tertiary care available; 28 (49%) stillbirths were recorded in hospital A compared with 53 (63%) in hospital B. Substantial health system factors contributing to preventable deaths were identified, and included inadequate staffing, problems with medical equipment, and lack of clinical skills. Leadership, teamwork, communication, and having a standardized process were associated with uptake of PMA. CONCLUSION: The use of PMAs by health workers in Fiji and other Pacific island countries could potentially rectify gaps in maternal and neonatal service delivery.