Supporting general practice to make timely decisions for better health care: a population health approach

Davies, Deborah

doi:10.1071/py17164

Cited by 3 publications

(5 citation statements)

References 11 publications

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“…To address these issues, a population health management tool with GP decision support functionality was developed with Department of Health (DoH) innovation funding, and as such, they own the intellectual property to Primary Sense. 12 The DoH has no access or rights to the data; the only data provided to other agencies is the Practice Incentives Program Quality Improvement dataset to the Australian Institute of Health and Welfare. The tool is not open source, but is available to other PHNs on a cost-recovery basis; there is no cost to general practices.…”

Section: Discussionmentioning

confidence: 99%

Supporting quality and safety in general practice: Response rates to computer decision support

Davies

Morgan²,

Wet

2022

Aust J Gen Pract

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Background and objectivePrimary health networks (PHNs) are tasked with supporting quality improvement in general practice. Traditional methods to do this are labour intensive and lack impact measurement. We aimed to measure general practitioner (GP) response rates to computer decision support at the point of care. MethodsGold Coast PHN developed a decision support tool to deliver real-time medication safety alerts and prompts for interventions and record the GP intervention in 80 general practices covering 519,000 patients. ResultsFrom July 2020 to June 2021, there were 3153 alerts triggered for 2328 patients, with 1250 of the suggested interventions being done (40%). From January 2021 to June 2021, 19,019 prompts were triggered during a visit for 17,398 patients, with 5444 of the suggested interventions being done (22%).

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Section: Discussionmentioning

confidence: 99%

Supporting quality and safety in general practice: Response rates to computer decision support

Davies

Morgan²,

Wet

2022

Aust J Gen Pract

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“…The importance of having access to accurate data to undertake population planning and improve the provision of PHC has been widely recognised by governments and health planners (Thorlby et al 2011). In Australia, recent changes to PHC policies and funding (Australian Government Department of Health 2018) have resulted in exploration of local processes such as the SPDS to improve data quality (Crossland et al 2014;Davies 2018). Although PHNs and general practices are required to develop their use of the available technologies to overcome data quality inadequacies, there has been little guidance to tackle the data quality issue, and no nationally accepted standards for coding (Davies 2018).…”

Section: Discussionmentioning

confidence: 99%

“…In Australia, recent changes to PHC policies and funding (Australian Government Department of Health 2018) have resulted in exploration of local processes such as the SPDS to improve data quality (Crossland et al 2014;Davies 2018). Although PHNs and general practices are required to develop their use of the available technologies to overcome data quality inadequacies, there has been little guidance to tackle the data quality issue, and no nationally accepted standards for coding (Davies 2018). The SPDS is a continuous and evolving body of work around the improvement of data quality and data utilisation in general practices across the participating PHN (Ghosh et al 2016).…”

Section: Discussionmentioning

confidence: 99%

“…This requires both assurances that all primary care interaction and clinical data are available for extraction and that these data are accurate. However, general practice clinical management systems in Australia are not currently required to comply with any coding or best practice standards (Davies 2018). Deficiencies in the quality and challenges with ensuring the accuracy of data collected in PHC settings have been widely described (Ghosh et al 2013).…”

Section: Introductionmentioning

confidence: 99%

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Structured yet simple approaches to primary care data quality improvements can indeed strike gold

Ghosh

Halcomb

McCarthy

et al. 2021

Aust. J. Primary Health

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General practice data provide important opportunities for both population health and within-practice initiatives to improve health. Despite its promise, a lack of accuracy affects the use of such data. The Sentinel Practices Data Sourcing (SPDS) project is a structured chronic disease surveillance and data quality improvement strategy in general practice. A mixed-methods approach was used to evaluate data quality improvement in 99 participating practices over 12 months. Quantitative data were obtained by measuring performance against 10 defined indicators, whereas 48 semi-structured interviews provided qualitative data. Aggregated scores demonstrated improvements in all indicators, ranging from minor to substantially significant improvements. Participants reported positively on levels of support provided, and acquisition of new knowledge and skills relating to data entry and cleansing. This evaluation provides evidence of the effectiveness of a structured approach to improve the quality of primary care data. Investing in this targeted intervention has the potential to create sustained improvements in data quality, which can drive clinical practice improvement.

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“…Currently, there is no systematic way for general practice to identify patients with rising risk, or to flag in real-time, medication safety issues at an individual patient level that show that patient's specific results. More generalised medication alerts do exist, but those are known to cause alert fatigue due to over or repeat alerting or rely on a commercial knowledge base (Davies 2018).…”

Section: Review Of Literature On Similar Casesmentioning

confidence: 99%

Primary Sense: a new population health management tool for general practice

Davies¹

2020

Aust. J. Prim. Health

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Primary Sense is a new data extraction, analysis and reporting tool that the Gold Coast Primary Health Network (GCPHN) has developed to enable practical and effective population health management in general practice and also on a regional level. Once installed, the tool de-identifies data within the practice before running it through various clinical risk algorithms to create practical information that can easily be actioned within the general practice business model in at least two ways. The first is to generate up-to-date reports of patients who are most likely to benefit from specific interventions or occasions of service. The second is to identify potentially serious medication safety issues, alerting clinicians in real time at point of prescribing. Formal live testing of the system was completed in nine practices where 22 managers and nurses and 42 GPs used the tool over a 5-month period in 2019. The live test monitored the use of reports and alerts, and regular feedback from users enabled small but important improvements to the tool. Practice teams successfully used the reports to target specific groups of patients with outstanding care needs or who were at greatest risk of adverse health outcomes. The results of the live test showed that users found Primary Sense to be easy to use and beneficial to general practice. The next phase of this project is now underway to further trial the scalability and change management requirements for full implementation of Primary Sense. As more and more practices adopt the tool, the aggregated data will increasingly help to support population health planning, commissioning of local services, active health surveillance and other related activities.

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Supporting general practice to make timely decisions for better health care: a population health approach

Cited by 3 publications

References 11 publications

Supporting quality and safety in general practice: Response rates to computer decision support

Supporting quality and safety in general practice: Response rates to computer decision support

Structured yet simple approaches to primary care data quality improvements can indeed strike gold

Primary Sense: a new population health management tool for general practice

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