Sorry, you need to enable JavaScript to visit this website.
Journal article
Report cover
ShareSHARE

45 and Up COVID Insights: a dynamic and collaborative approach to evidence-making during the COVID-19 pandemic

Catherine D’Este, Julia Steinberg, Marianne Weber, Jill Newby, Ding Ding, Bette Liu, Barry Edwards, Andrew Milat, Martin McNamara
Journal
Health services planning Evidence-based policy Public health COVID-19 Pandemics New South Wales
Description

This paper describes a research project that was developed to generate timely, relevant evidence in response to the COVID-19 pandemic, to guide policy, practice and planning in New South Wales.

A subgroup of  participants in the ongoing 45 and Up Study was invited to enrol in 45 and Up COVID Insights – a series of five online surveys conducted during 2020–22. The model involved a close collaborative partnership with the NSW Ministry of Health and a panel of scientific advisers, an agile data collection methodology and rapid dissemination of findings. Themes included healthcare use, attitudes toward and uptake of COVID-19 prevention measures, and the impact of the pandemic on mental health, loneliness and lifestyle behaviours.

The project recruited a diverse cohort of 32 115 participants. Between February–April (survey 2) 2021, 10% reported missed healthcare in the past month because of the pandemic, rising to 26% by September–November 2021 (survey 4). Quality of life remained high (>90% good–excellent across the surveys). As the pandemic progressed, the proportion reporting worsened mental health as a result increased from 29% (July–December 2020, survey 1) to 46% (survey 4). In survey 2 (February–April 2021), 89% intended to get the COVID-19 vaccine, with 8% unsure. By late 2021, vaccination uptake was high, with 98% of respondents having received at least one vaccination.

The study showed the value of harnessing a large longitudinal, well-described, and diverse cohort study to generate evidence in a changing context with evolving information needs. The collaborative model enhanced the value and relevance of the data to inform decisions.

Publication Details
DOI:
10.17061/phrp32232214
License type:
CC BY-NC-SA
Access Rights Type:
open
Volume:
32
Issue:
4
Pagination:
e32232214