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Optimizing lung cancer MDT data for maximum clinical impact-a scoping literature review

Journal Article


Abstract


  • Multidisciplinary care in is widely recommended as best practice for lung cancer in many countries and jurisdictions. A number of studies suggest multidisciplinary care benefits patient outcomes, with analyses based on a range of data sources including national, state and local registries as well as multidisciplinary team meeting (MDT)-based data collections, often focused on different questions depending on data sources. MDT data collection and linkage are not standardized and not routine although data collection and feedback are specifically recommended by at least one statutory body. We performed a scoping review of current evidence for lung cancer MDT data collection and analysis, to identify discrete strategies through illustrative examples and to make recommendations for future approaches. Thirteen studies were identified that presented lung cancer MDT-related clinical outcomes, three included MDTs from multiple tumour streams while 10 studies focussed on lung cancer MDT meetings. Eleven studies measured the effect of MDT discussion on clinical outcomes of which eight were positive. Data sources included MDT records (3 studies), medical or hospital records (3 studies), institutional registries (5 studies) and state or national administrative datasets (6 studies), with some overlap. Examples of studies based on different data sources (local MDT, institutional registry, national registry) exemplified the different types of clinical research questions appropriate for each data source. While MDT data collection is not well-defined, the importance of clinical audit and data feedback and the potential for real-time analysis to improve outcomes deserve further investigation. Optimized datasets and linkage strategies are likely to maximize benefits for patients.

UOW Authors


Publication Date


  • 2020

Citation


  • Stone, E., Rankin, N., Currow, D., Fong, K. M., Phillips, J. L., & Shaw, T. (2020). Optimizing lung cancer MDT data for maximum clinical impact-a scoping literature review. Translational Lung Cancer Research, 9(4), 1629-1638. doi:10.21037/tlcr.2020.01.02

Scopus Eid


  • 2-s2.0-85091495331

Start Page


  • 1629

End Page


  • 1638

Volume


  • 9

Issue


  • 4

Place Of Publication


Abstract


  • Multidisciplinary care in is widely recommended as best practice for lung cancer in many countries and jurisdictions. A number of studies suggest multidisciplinary care benefits patient outcomes, with analyses based on a range of data sources including national, state and local registries as well as multidisciplinary team meeting (MDT)-based data collections, often focused on different questions depending on data sources. MDT data collection and linkage are not standardized and not routine although data collection and feedback are specifically recommended by at least one statutory body. We performed a scoping review of current evidence for lung cancer MDT data collection and analysis, to identify discrete strategies through illustrative examples and to make recommendations for future approaches. Thirteen studies were identified that presented lung cancer MDT-related clinical outcomes, three included MDTs from multiple tumour streams while 10 studies focussed on lung cancer MDT meetings. Eleven studies measured the effect of MDT discussion on clinical outcomes of which eight were positive. Data sources included MDT records (3 studies), medical or hospital records (3 studies), institutional registries (5 studies) and state or national administrative datasets (6 studies), with some overlap. Examples of studies based on different data sources (local MDT, institutional registry, national registry) exemplified the different types of clinical research questions appropriate for each data source. While MDT data collection is not well-defined, the importance of clinical audit and data feedback and the potential for real-time analysis to improve outcomes deserve further investigation. Optimized datasets and linkage strategies are likely to maximize benefits for patients.

UOW Authors


Publication Date


  • 2020

Citation


  • Stone, E., Rankin, N., Currow, D., Fong, K. M., Phillips, J. L., & Shaw, T. (2020). Optimizing lung cancer MDT data for maximum clinical impact-a scoping literature review. Translational Lung Cancer Research, 9(4), 1629-1638. doi:10.21037/tlcr.2020.01.02

Scopus Eid


  • 2-s2.0-85091495331

Start Page


  • 1629

End Page


  • 1638

Volume


  • 9

Issue


  • 4

Place Of Publication