Using silent area analysis to inform a COVID-19 public health response in Hunter New England, regional New South Wales

Abstract

In 2020 and 2021, in the context of nationwide efforts to suppress SARS CoV-2 virus transmission while awaiting a vaccine, public health teams were responsible for finding and isolating all cases and quarantining their contacts. The success of this strategy required very high case ascertainment and thus, by inference, ready access to PCR testing, even in large rural areas such as Hunter New England in New South Wales. 'Silent area' analysis entailed the scheduled regular comparison of case and testing rates at local-government-area resolution against larger area and state-wide rates. This analysis provided an easily understood metric for identifying areas with lower testing rates, and for direction of surging of local testing capacity in such areas, by the local health district in partnership with public health services and private laboratory services. Complementary intensive community messaging was also utilised to promote increased testing in identified areas.

Transmission of SARS-CoV-2 Delta variant from an infected aircrew member on a short-haul domestic flight, Australia 2021

In June 2021, when COVID-19 incidence in Australia was low, a COVID-19 (Delta variant) cluster occurred on an 81-minute domestic flight, with an aircrew member as the likely source. Outbreak investigation demonstrated that SARS-CoV-2 may be transmitted during short-haul flights and that mask use protected against infection.

Multi-strategy intervention increases school implementation and maintenance of a mandatory physical activity policy: outcomes of a cluster randomised controlled trial

Objectives

To assess if a multi-strategy intervention effectively increased weekly minutes of structured physical activity (PA) implemented by classroom teachers at 12 months and 18 months.

Methods

A cluster randomised controlled trial with 61 primary schools in New South Wales Australia. The 12-month multi-strategy intervention included; centralised technical assistance, ongoing consultation, principal’s mandated change, identifying and preparing school champions, development of implementation plans, educational outreach visits and provision of educational materials. Control schools received usual support (guidelines for policy development via education department website and telephone support). Weekly minutes of structured PA implemented by classroom teachers (primary outcome) was measured via teacher completion of a daily log-book at baseline (October–December 2017), 12-month (October–December 2018) and 18-month (April–June 2019). Data were analysed using linear mixed effects regression models.

Results

Overall, 400 class teachers at baseline, 403 at 12 months follow-up and 391 at 18 months follow-up provided valid primary outcome data. From baseline to 12-month follow-up, teachers at intervention schools recorded a greater increase in weekly minutes of PA implemented than teachers assigned to the control schools by approximately 44.2 min (95% CI 32.8 to 55.7; p<0.001) which remained at 18 months, however, the effect size was smaller at 27.1 min (95% CI 15.5 to 38.6; p≤0.001).

Conclusion

A multi-strategy intervention increased mandatory PA policy implementation. Some, but not all of this improvement was maintained after implementation support concluded. Further research should assess the impact of scale-up strategies on the sustainability of PA policy implementation over longer time periods.

Trial registration number

Australian New Zealand Clinical Trials Registry (ACTRN12617001265369).

How to optimise public health interventions: a scoping review of guidance from optimisation process frameworks

Background

Optimisation processes have the potential to rapidly improve the impact of health interventions. Optimisation can be defined as a deliberate, iterative and data-driven process to improve a health intervention and/or its implementation to meet stakeholder-defined public health impacts within resource constraints. This study aimed to identify frameworks used to optimise the impact of health interventions and/or their implementation, and characterise the key concepts, steps or processes of identified frameworks.

Methods

A scoping review of MEDLINE, CINAL, PsycINFO, and ProQuest Nursing & Allied Health Source databases was undertaken. Two reviewers independently coded the key concepts, steps or processes involved in each frameworks, and identified if it was a framework aimed to optimise interventions or their implementation. Two review authors then identified the common steps across included frameworks.

Results

Twenty optimisation frameworks were identified. Eight frameworks were for optimising interventions, 11 for optimising implementation and one covered both intervention and implementation optimisation. The mean number of steps within the frameworks was six (range 3–9). Almost half (n = 8) could be classified as both linear and cyclic frameworks, indicating that some steps may occur multiple times in a single framework. Two meta-frameworks are proposed, one for intervention optimisation and one for implementation strategy optimisation. Steps for intervention optimisation are: Problem identification; Preparation; Theoretical/Literature base; Pilot/Feasibility testing; Optimisation; Evaluation; and Long-term implementation. Steps for implementation strategy optimisation are: Problem identification; Collaborate; Plan/design; Pilot; Do/change; Study/evaluate/check; Act; Sustain/endure; and Disseminate/extend.

Conclusions

This review provides a useful summary of the common steps followed to optimise a public health intervention or its implementation according to established frameworks. Further opportunities to study and/or validate such frameworks and their impact on improving outcomes exist.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-020-09950-5.