Parents attitudes towards the No Jab No Play legislation in Western Australia: a mixed methods study
Bibliographic record
Abstract
Abstract Introduction: Mandates provided a relatively cost-effective strategy to increase vaccinate rates. Since 2014, five Australian states have implemented No Jab No Play (NJPlay) policies that require children to be fully immunised to attend early childhood education and childcare services. In Western Australia, where this study was conducted, NJNPlay legislation was enacted in 2019. This research forms part of a broader study to explore the influence of the NJNPlay legislation on the decision to vaccinate; and the impact of the NJNPlay legislation in Western Australia, two years after its implementation. Methods: This mixed-methods study used an online parent/carer survey (n = 261) representing 427 children and in-depth interviews (n = 18) to investigate: 1) the influence of the NJNP legislation on decision to vaccinate; and 2) the financial and emotional impacts of NJNP legislation. Descriptive and bivariate tests were used to analyse the survey data and open-ended questions and interviews were analysed using reflexive thematic analysis to capture the experience and the reality of participants. Results: Approximately 60% of parents intended to vaccinate their child. Parents who had decided not to vaccinate their child/ren were significantly more likely to experience financial [p < 0.001] and emotional impacts [p < 0.001], compared to those who chose to vaccinate because of the mandate. Qualitative data were divided with around half of participants supporting childhood immunisation and NJNPlay with others discussing concerns. The themes a) belief in the importance of vaccination and ease of access, b) individual and community protection, and c) vaccine effectiveness, safety and alternatives help understand how parents beliefs and access may influence vaccination uptake. Unintended impacts of NJNPlay included: a) lack of choice, pressure and coercion to vaccinate; b) policy and community level stigma and discrimination; c) financial and career impacts; and d) loss of education opportunities. Conclusion: Parents’ appreciation of funded immunisation programs and mandates which enhance individual and community protection was evident. However, for others unintended consequences of the mandate resulted in significant social, emotional, financial and educational impacts. Long-term evidence highlights the positive impact of immunisation programs. Opinions of impacted families should be considered to alleviate mental health stressors.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".