scholarly journals Improving Cancer MDT performance in Western Sydney – three years’ experience

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Lynleigh Evans ◽  
Yiren Liu ◽  
Brendan Donovan ◽  
Terence Kwan ◽  
Karen Byth ◽  
...  

Abstract Background While multidisciplinary teams (MDTs) are now considered an essential part of cancer care decision-making, how they perform varies widely. The authors hypothesised that a comprehensive, multipronged improvement program, and associated annual member survey, could strengthen MDT performance across a whole cancer service. Methods The study comprised the introduction of a structured program, the Tumour Program Strengthening Initiative (TPSI) linked with an annual survey of member’s perceptions of their performance. Three iterations of the survey have been completed (2017, 2018 and 2019). Generalised estimating equations (GEEs) were used to test for a difference in the proportion of positive survey responses between 2017 and 2019 adjusted for team clustering. Results Twelve teams participated in TPSI. One hundred twenty-nine, 118 and 146 members completed the survey in 2017, 2018 and 2019, respectively. Of the 17 questions that were asked in all three years, nine showed significant improvement and, of these, five were highly significant. Documenting consensus, developing Terms of Reference (TORs), establishing referral criteria and referring to clinical practice guidelines showed most improvement. Questions related to patient considerations, professional development and quality improvement (QI) activities showed no significant change. Conclusions TPSI resulted in sustained and significant improvement. The MDT survey not only allowed MDT members to identify their strengths and weaknesses but also provided insights for management to flag priority areas for further support. Overall program improvement reflected the strengthening of the weakest teams as well as further improvement in highly performing MDTs. Importantly, the initiative has the potential to achieve behaviour change amongst clinicians.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e19223-e19223
Author(s):  
Lynleigh Evans ◽  
Yiren Liu ◽  
Terence Kwan ◽  
Brendan Donovan ◽  
Karen Byth ◽  
...  

e19223 Background: While multidisciplinary teams (MDTs) are well-established in many healthcare institutions, both how they function and their role in decision making vary widely. This study assessed the effectiveness of a multipronged approach to strengthening multidisciplinary team performance for a cancer service over three years. Methods: The study comprised the introduction of a structured quality improvement program, the Tumour Program Strengthening Initiative (TPSI), to improve MDT performance, and an annual survey to evaluate MDT members’ perceptions of their teams’ performance. Three iterations of the survey have been completed. Results: 12 teams participated in TPSI with 129, 118, and 146 members completing the MDT member survey in 2017, 2018, and 2019 respectively. Of the 18 questions that were asked throughout the study, nine showed significant improvement, and of these, seven were highly significant. Questions related to patient wellbeing and to audits and quality improvement showed no significant change. Conclusions: The Tumour Program Strengthening Initiative resulted in sustained and significant improvement in MDT performance over three years. The MDT survey proved to be useful not only for cancer care teams to identify their strengths and weaknesses and monitoring performance but also for management to flag priority areas for improvement and further support. The significance of this initiative is that overall program improvement reflects the strengthening of the weakest teams as well as further improvement in highly performing MDTs. [Table: see text]


2019 ◽  
Author(s):  
Tayana Soukup ◽  
Ged Murtagh ◽  
Ben W Lamb ◽  
James Green ◽  
Nick Sevdalis

Background Multidisciplinary teams (MDTs) are a standard cancer care policy in many countries worldwide. Despite an increase in research in a recent decade on MDTs and their care planning meetings, the implementation of MDT-driven decision-making (fidelity) remains unstudied. We report a feasibility evaluation of a novel method for assessing cancer MDT decision-making fidelity. We used an observational protocol to assess (1) the degree to which MDTs adhere to the stages of group decision-making as per the ‘Orientation-Discussion-Decision-Implementation’ framework, and (2) the degree of multidisciplinarity underpinning individual case reviews in the meetings. MethodsThis is a prospective observational study. Breast, colorectal and gynaecological cancer MDTs in the Greater London and Derbyshire (United Kingdom) areas were video recorded over 12-weekly meetings encompassing 822 case reviews. Data were coded and analysed using frequency counts.Results Eight interaction formats during case reviews were identified. case reviews were not always multi-disciplinary: only 8% of overall reviews involved all five clinical disciplines present, and 38% included four of five. The majority of case reviews (i.e. 54%) took place between two (25%) or three (29%) disciplines only. Surgeons (83%) and oncologists (8%) most consistently engaged in all stages of decision-making. While all patients put forward for MDT review were actually reviewed, a small percentage of them (4%) either bypassed the orientation (case presentation) and went straight into discussing the patient, or they did not articulate the final decision to the entire team (8%). Conclusions Assessing fidelity of MDT decision-making at the point of their weekly meetings is feasible. We found that despite being a set policy, case reviews are not entirely MDT-driven. We discuss implications in relation to the current eco-political climate, and the quality and safety of care. Our findings are in line with the current national initiatives in the UK on streamlining MDT meetings, and could help decide how to re-organise them to be most efficient.


2020 ◽  
Vol 28 (8) ◽  
pp. 1929-1939
Author(s):  
Annamaria Bagnasco ◽  
Nicoletta Dasso ◽  
Silvia Rossi ◽  
Fiona Timmins ◽  
Giuseppe Aleo ◽  
...  

Author(s):  
Iris E. Beldhuis ◽  
Ramesh S. Marapin ◽  
You Yuan Jiang ◽  
Nádia F. Simões de Souza ◽  
Artemis Georgiou ◽  
...  

2021 ◽  
pp. 0272989X2110190
Author(s):  
Ilyas Khan ◽  
Liliane Pintelon ◽  
Harry Martin

Objectives The main objectives of this article are 2-fold. First, we explore the application of multicriteria decision analysis (MCDA) methods in different areas of health care, particularly the adoption of various MCDA methods across health care decision making problems. Second, we report on the publication trends on the application of MCDA methods in health care. Method PubMed was searched for literature from 1960 to 2019 in the English language. A wide range of keywords was used to retrieve relevant studies. The literature search was performed in September 2019. Articles were included only if they have reported an MCDA case in health care. Results and Conclusion The search yielded 8,318 abstracts, of which 158 fulfilled the inclusion criteria and were considered for further analysis. Hybrid methods are the most widely used methods in health care decision making problems. When it comes to single methods, analytic hierarchy process (AHP) is the most widely used method followed by TOPSIS (technique for order preference by similarity to ideal solution), multiattribute utility theory, goal programming, EVIDEM (evidence and value: impact on decision making), evidential reasoning, discrete choice experiment, and so on. Interestingly, the usage of hybrid methods has been high in recent years. AHP is most widely applied in screening and diagnosing and followed by treatment, medical devices, resource allocation, and so on. Furthermore, treatment, screening and diagnosing, medical devices, and drug development and assessment got more attention in the MCDA context. It is indicated that the application of MCDA methods to health care decision making problem is determined by the nature and complexity of the health care problem. However, guidelines and tools exist that assist in the selection of an MCDA method.


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