ArticleHealth policy and technology2022
Covid 19 Vaccines and the Australian health care state.
Article in Health policy and technology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed, 17 citations in OpenAlex.
- Evaluating the impact of COVID-19 on the HIV epidemic among MSM in Australia.AIDS (London, England) · 2025Article
- Article
- A Scoping Review of Factors Affecting COVID-19 Vaccination Uptake and Deployment in Global Healthcare Systems.Vaccines · 2024Article
- Codesign and community outreach to create COVID-19 safe communities: A Karen community case study.Frontiers in public health · 2023Article
- Public Health Management of the COVID-19 Pandemic in Australia: The Role of the Morrison Government.International journal of environmental research and public health · 2022Article
- Understandings and practices related to risk, immunity and vaccination during the Delta variant COVID-19 outbreak in Australia: An interview study.Vaccine: X · 2022Article
- Investigation of the effects of mechanical and underfloor heating systems on the COVID-19 viruses distribution.European physical journal plus · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objectives: Australia had one of the most successful early responses to the COVID-19 pandemic. Border closures and effective public health responses to outbreaks kept infection and death rates to amongst the lowest in the world. The strategy was premised on an eventual escape through the development and availability of vaccines. While effective vaccines appeared earlier than many expected, Australia's the next stage of crisis management stalled. Vaccination rates were, in mid-2021, one of the lowest in the OECD. By the end of 2021, however, Australia had a comparatively high vaccination rate. This paper accounts for this paradoxical situation. Methods: The analysis uses Moran and Tuohy's concept of the 'health care state' to show how interlocking elements of consumption, production, governance and statecraft created the conditions for Australia's contradictory response to the crisis. Results: The paper locates problems commonly attributed to 'leadership failure' in an analysis of the evolving dynamics of the Australian healthcare state and the governance regimes concerning collective consumption, the health professions, and technologies. Vaccine supply was delayed by the Federal government's preference for local production. The initial problems of the vaccine rollout arose from a failed experiment with outsourcing, initiated at the height of the crisis. Conclusion: Australia's ultimate success in achieving high vaccination rates emerged from the agile stability embedded in its health care state. This delivered where 'market inspired innovation' had failed.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.