Job Satisfaction of Health Practitioners Providing Outreach Health Services during COVID-19 in Rural New South Wales (NSW) and the Australian Capital Territory (ACT), Australia
Bibliographic record
Abstract
Background: Outreach health practitioners play a key role in enhancing access to healthcare for remote, rural, regional, and Aboriginal and Torres Strait Islander communities in Australia. Outreach health practitioners are those providing ongoing and integrated health services in communities that would otherwise have limited access. In the context of the COVID-19 pandemic, it is important to understand the job satisfaction of health workers as it correlates with long-term retention of the workforce, as well as effectiveness in the role and clinical outcomes for patients. Method: The study analysed data from 258 outreach health practitioners who responded to two cross-sectional surveys conducted by the NSW Rural Doctors Network during the COVID-19 pandemic in 2020/21 and 2021/22 in NSW and the ACT, Australia. Both bivariate and multivariate analyses were employed to assess the associations between the outcome variable (outreach health practitioners’ job satisfaction) and independent variables (sociodemographic factors, motivation, self-confidence, communication, capability). Results: Overall, the study showed that 92.2% of health practitioners were satisfied in their role providing outreach health services during the COVID-19 pandemic. In the multivariable model, factors significantly associated with higher satisfaction included good communication with other local health practitioners, using telehealth along with in-person care, and having high self-rated capability compared to those health practitioners who said they had lower job satisfaction. Conclusions: Outreach health practitioners’ job satisfaction is important because poor satisfaction may lead to suboptimal healthcare delivery, poor clinical outcomes, and poor retention of staff in rural settings. These findings should be taken into consideration when developing future strategies to improve job satisfaction among rural outreach health practitioners and to enhance attraction, recruitment and retention and may be applicable to the broader health workforce.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".