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Unlocking the Power of Data: How ASHLi Can Transform Suicide Prevention

Unlocking the Power of Data: How ASHLi Can Transform Suicide Prevention

As practitioners dedicated to improving mental health outcomes, it's crucial to stay informed about groundbreaking research that can enhance our practices. One such study, the Australian Suicide Prevention using Health-Linked Data (ASHLi), offers invaluable insights into suicide prevention. This blog will explore how you can implement the findings from the ASHLi study to improve your practice and encourage further research.

Understanding ASHLi: A Comprehensive Approach

The ASHLi study is a population-based case series that examines all suicides in Australia from 2013 to 2019. The study links coronial data with administrative claims data to detail health service use and prescribed medicines in the year prior to death by suicide. The overarching aims are:

Key Findings and Their Implications

The ASHLi study reveals critical information that can guide practitioners in suicide prevention:

Implementing ASHLi Findings in Your Practice

As a practitioner, you can leverage the findings from the ASHLi study to enhance your practice in several ways:

Encouraging Further Research

The ASHLi study underscores the importance of ongoing research in suicide prevention. By participating in or supporting further studies, practitioners can contribute to a deeper understanding of the factors contributing to suicide and the most effective prevention strategies. Consider collaborating with researchers or advocating for funding to support additional studies in this critical area.

To read the original research paper, please follow this link: Australian Suicide Prevention using Health-Linked Data (ASHLi): Protocol for a population-based case series study.


Citation: Chitty, K. M., Schumann, J. L., Schaffer, A., Cairns, R., Gonzaga, N. J., Raubenheimer, J. E., Carter, G., Page, A., Pearson, S.-A., & Buckley, N. A. (2020). Australian Suicide Prevention using Health-Linked Data (ASHLi): Protocol for a population-based case series study. BMJ Open, 10(5), e038181. https://doi.org/10.1136/bmjopen-2020-038181

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