ArticleAustralian and New Zealand journal of public health2021
Audit of the Sydney Local Health District Public Health Unit notification and contact tracing system during the first wave of COVID-19.
Article in Australian and New Zealand journal of public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Understanding for whom, how and why Sydney Local Health District's Integrated Response was Effective in Addressing COVID-19: A Critical Realist Qualitative Study.International journal of integrated careArticle
- Sydney Local Health District's Integrated Response to the COVID-19 Pandemic: A Descriptive Study.International journal of integrated careArticle
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Authors and funding
11 authors.
Funding
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Abstract
objectiveTo 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.
methodsA 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.
resultsA 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.
conclusionUtilising 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.
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