Alpha NSW: What would it take to create a state-wide paediatric population-level learning health system?

Author:

Hodgins Michael1ORCID,Samir Nora1,Woolfenden Susan12,Hu Nan1,Schneuer Francisco3,Nassar Natasha34,Lingam Raghu1

Affiliation:

1. University of New South Wales, Australia

2. Sydney Institute for Women, Children and their Families, Sydney Local Health District, Australia

3. Child Population and Translational Health Research, The University of Sydney, Australia

4. Community Child Health, Randwick, The Sydney Children’s Hospitals Network, Australia

Abstract

Background: The health and well-being of children in the first 2000 days has a lasting effect on educational achievement and long-term chronic disease in later life. However, the lack of integration between high-quality data, analytic capacity and timely health improvement initiatives means practitioners, service leaders and policymakers cannot use data effectively to plan and evaluate early intervention services and monitor high-level health outcomes. Objective: Our exploratory study aimed to develop an in-depth understanding of the system and clinical requirements of a state-wide paediatric learning health system (LHS) that uses routinely collected data to not only identify where the inequities and variation in care are, but also to also inform service development and delivery where it is needed most. Method: Our approach included reviewing exemplars of how administrative data are used in Australia; consulting with clinical, policy and data stakeholders to determine their needs for a child health LHS; mapping the existing data points collected across the first 2000 days of a child’s life and geospatially locating patterns of key indicators for child health needs. Results: Our study identified the indicators that are available and accessible to inform service delivery and demonstrated the potential of using routinely collected administrative data to identify the gap between health needs and service availability. Conclusion: We recommend improving data collection, accessibility and integration to establish a state-wide LHS, whereby there is a streamlined process for data cleaning, analysis and visualisation to help identify populations in need in a timely manner.

Publisher

SAGE Publications

Subject

Health Policy,Leadership and Management

Reference19 articles.

1. Accessibility/Remoteness Index of Australia (ARIA+) (2022) University of Adelaide. Available at: https://able.adelaide.edu.au/housing-research/data-gateway/aria

2. AEDC (2020) Australian early development census. Available at: https://www.aedc.gov.au/data/data-explorer?id=135216

3. Australian Bureau of Statistics (ABS) (2016) Socio-Economic Indexes for Areas (SEIFA) Index of Relative Socio-economic Advantage and Disadvantage (ISRAD). Available at: https://www.abs.gov.au/websitedbs/censushome.nsf/home/seifa

4. Quality of Health Care for Children in Australia, 2012-2013

5. Resilient health care: turning patient safety on its head

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