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Systematic improvement of PCOC data quality and completeness

Conference Paper


Abstract


  • Aim: In Australia, outcome registries are becoming increasingly valuable as they are seen to help drive

    improvements in patient outcomes. The aim of this presentation is to provide an overview of PCOC’s methods

    to improve the quality and completeness of the PCOC data. This ensures accurate reporting of patient

    outcomes back to services, which drives quality improvement.

    Methods: A descriptive analysis of PCOC’s data quality from 2008−2018, and review of data quality and

    management strategies during this time.

    Results: In 2008, there were 75 sites submitting PCOC data with some national data item completion rates

    as low as 60%. In 2018, there were 150 sites submitting data with national data item completion rates above

    90%. Data quality checking and management processes have been introduced to improve quality of the

    data including: introducing a new data quality checking system, DataManager, to have more sophisticated

    error checking and cross-referencing; introduction of data summaries at time of submission for real time

    feedback on the data submitted; engaging the clinical team in the data submission process to ensure clinical

    correctness; and some reporting at time of finalising the data for quicker feedback to services. With each

    process introduced, PCOC has seen a corresponding improvement in data quality.

    Conclusion: Through routine feedback to services and consistent data checking processes, it is possible to

    improve the data quality and completeness of a national outcomes registry. The PCOC data processes contain

    a robust quality assurance plan, which allows ongoing monitoring of the completeness and accuracy of the

    information collected. The net benefit of data managers, healthcare professionals and improvement facilitators

    working together to improve data quality for the benefit of patients is far greater than the management of data

    quality alone by data managers.

Publication Date


  • 2019

Citation


  • A. Connolly, S. Allingham, S. Clapham & K. Eagar, "Systematic improvement of PCOC data quality and completeness", The Palliative Care Outcomes Collaboration Outcomes and Benchmarking Conference. (2019)

Abstract


  • Aim: In Australia, outcome registries are becoming increasingly valuable as they are seen to help drive

    improvements in patient outcomes. The aim of this presentation is to provide an overview of PCOC’s methods

    to improve the quality and completeness of the PCOC data. This ensures accurate reporting of patient

    outcomes back to services, which drives quality improvement.

    Methods: A descriptive analysis of PCOC’s data quality from 2008−2018, and review of data quality and

    management strategies during this time.

    Results: In 2008, there were 75 sites submitting PCOC data with some national data item completion rates

    as low as 60%. In 2018, there were 150 sites submitting data with national data item completion rates above

    90%. Data quality checking and management processes have been introduced to improve quality of the

    data including: introducing a new data quality checking system, DataManager, to have more sophisticated

    error checking and cross-referencing; introduction of data summaries at time of submission for real time

    feedback on the data submitted; engaging the clinical team in the data submission process to ensure clinical

    correctness; and some reporting at time of finalising the data for quicker feedback to services. With each

    process introduced, PCOC has seen a corresponding improvement in data quality.

    Conclusion: Through routine feedback to services and consistent data checking processes, it is possible to

    improve the data quality and completeness of a national outcomes registry. The PCOC data processes contain

    a robust quality assurance plan, which allows ongoing monitoring of the completeness and accuracy of the

    information collected. The net benefit of data managers, healthcare professionals and improvement facilitators

    working together to improve data quality for the benefit of patients is far greater than the management of data

    quality alone by data managers.

Publication Date


  • 2019

Citation


  • A. Connolly, S. Allingham, S. Clapham & K. Eagar, "Systematic improvement of PCOC data quality and completeness", The Palliative Care Outcomes Collaboration Outcomes and Benchmarking Conference. (2019)