Open AccessAudit of the Sydney Local Health District Public Health Unit notification and contact tracing system during the first wave of COVID‐19
Author(s) -
Jain Naveena,
Moore Corey B.,
Quinn Emma,
Liu Huei Ming,
Liu Darith,
Heaton Maria,
Gehlot Priyanka,
Dhakal Yashoda,
Gupta Leena,
Hogbin Rebecca,
Eastwood John G.
Publication year - 2021
Publication title -
australian and new zealand journal of public health
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.946
H-Index - 76
eISSN - 1753-6405
pISSN - 1326-0200
DOI - 10.1111/1753-6405.13145
Subject(s) - audit , workload , public health , data quality , medicine , unit (ring theory) , quality management , quality audit , medical emergency , business , computer science , operations management , nursing , psychology , engineering , accounting , management system , metric (unit) , mathematics education , operating system
Objective : To conduct a real‐time audit to assess a Continuous Quality Improvement (CQI) activity to improve the quality of public health data in the Sydney Local Health District (SLHD) Public Health Unit during the first wave of COVID‐19. Methods : A real‐time audit of the Notifiable Conditions Information Management System was conducted for positive cases of COVID‐19 and their close contacts from SLHD. After recording missing and inaccurate data, the audit team then corrected the data. Multivariable regression models were used to look for associations with workload and time. Results : A total of 293 cases were audited. Variables measuring completeness were associated with improvement over time ( p <0.0001), whereas those measuring accuracy reduced with increased workload ( p =0.0003). In addition, the audit team achieved 100% data quality by correcting data. Conclusion : Utilising a team, separate from operational staff, to conduct a real‐time audit of data quality is an efficient and effective way of improving epidemiological data. Implications for public health : Implementation of CQI in a public health unit can improve data quality during times of stress. Auditing teams can also act as an intervention in their own right to achieve high‐quality data at minimal cost. Together, this can result in timely and high‐quality public health data.