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Piloting SORMAS (Surveillance Outbreak Response Management and Analysis System): Association between task execution time and user feedback
01 September 2017 (online)
To improve case and contact management, rapid information exchange and task execution times (TET) during the West African Ebola Virus Disease (EVD) outbreak in 2014 – 15, the mHealth tool SORMAS (Surveillance Outbreak Response Management and Analysis System) was developed. To evaluate the ease of use (EoU) and usefulness, we assessed association of TET in SORMAS field pilot with user's feedback and characteristics.
Pilot took place in private and public health facilities of eight Local Government Areas (LGA) within two Nigerian States. Users received simulated tasks regarding EVD and avian influenza outbreaks over four weeks. After the pilot, users evaluated EoU and usefulness with 10-level scales, with higher values representing better EoU and usefulness. TET were calculated from database timestamps. Pearson's correlation coefficients were calculated for EoU and usefulness. Uni- and multivariable regression analyses were performed to study association of sex, type of health facility or State with individual mean TET.
Out of 5403 tasks, 167 (4.1%) had adequate timestamps and were included in the analysis. Median TET was 2 days (range 0 – 17). Univariable regression analysis showed statistically significant association of TET only with the State (p = 0.02). After adjustment with other factors, this association was no more statistically significant. Correlation coefficient for tool usefulness in outbreak management was 0.24 (p = 0.36), for usefulness in surveillance -0.25 (p = 0.33) and for EoU 0.22 (p = 0.40).
Although limited data, user evaluation seemed to be based on content information from SORMAS rather than on operating the tool: TET were not statistically significantly correlated with EoU and perceived usefulness. Long TET could not either be explained by user related factors. To address issues of the pilot version, we launched an open souce version of SORMAS in April 2017 including user interface and diease surveillance improvements.