Skip to main content

Implementation rate and effects of multidisciplinary team meetings on decision making about radiotherapy: an observational study at a single Japanese institution

Abstract

Background

Cancer treatment requires a multidisciplinary approach. Therefore, multidisciplinary team meetings (MDTMs) have been widely used to determine the direction of treatment. However, no standard provisions exist for conducting MDTMs, and recommendations discussed in MDTMs are sometimes not implemented. ​This study analyzed the indications for radiotherapy discussed and recommended at MDTMs, identified the rate of radiotherapy recommendations for patients that were not implemented, and clarified the reasons at a single academic center in Japan.

Methods

This was a cross-sectional study that analyzed the minutes and electronic medical records of cases discussed at MDTMs held between April 2012-March 2017 at Yamagata University Hospital. We categorized how radiotherapy was initially presented at MDTMs, determined the rate of radiotherapy recommendations made through MDTMs, analyzed whether treatment recommendations were subsequently implemented, and examined the causes of non-implementation. We performed a statistical analysis to assess some clinical factors (sex, age, number of multidisciplinary team meetings, and classification of planned treatment) associated with the non-implementation of radiotherapy recommendations from MDTMs.

Results

A total of 1813 cases were discussed at MDTMs, of which 71% (1293 cases) were presented with treatment plans, including radiotherapy. Further, 66% (1205 cases) were recommended for radiotherapy through the MDTMs. Recommendations from MDTMs were not implemented in 7% (142 cases). The most typical reason for non-implementation was the clinician’s opinion (30%), followed by patient preferences (27%) and disease progression (20%). Change in cancer stage and improvement in symptoms were 12% and 4%, respectively. These ratios were similar each year. We could not find the factors associated with the non-implementation of radiotherapy recommendations from MDTMs.

Conclusions

MDTMs had a significant effect on the recommendation of radiotherapy for each patient with a tumor. The primary reason for the non-implementation of decisions made at MDTMs was the opinion of clinicians and the patient’s preference. These results were similar to previous studies. We need to establish a monitoring system where patients themselves can decide the treatments based on their choices while using the recommendations from MDTMs.

Peer Review reports

Background

Multidisciplinary treatment is necessary for patients with cancer, for whom a cross-sectional therapeutic and care approach is required. In 1995, the UK Department of Health framework identified the multidisciplinary treatment team as a component of the multidisciplinary treatment approach. The team comprises surgeons, physicians, radiologists, radiation oncologists, oncologists, pathologists, palliative care physicians, and certified nurses involved in diagnosing and treating patients with cancer. This practice was later adopted in the United States and European countries, and the benefits of multidisciplinary treatment teams have been reported [1,2,3,4].

In Japan, the Cancer Control Act, like the UK framework, was enacted by the Ministry of Health, Labor and Welfare in 2008 in response to the demand for appropriate medical care according to the condition of patients with cancer. Specifically, the Act defines multidisciplinary team meetings (MDTMs) as conferences for exchanging opinions, sharing, reviewing, and confirming the symptoms, conditions, and treatment plans for patients with cancer. Such meetings must be held in cancer hospitals at least once per month.

In previous studies from our group, we found that MDTMs resulted in changes in treatment modalities and had an impact on treatment choices such as radiotherapy and chemotherapy [5,6,7]. Previous studies in other countries have reported on other studies examining the factors necessary to ensure the quality of MDTMs and the factors that influence MDTMs [8,9,10]. In addition, there are several reports on the non-implementation rate of MDTM recommendations, which generally ranges from 7.8–8.7% [11,12,13]. However, there are no studies from Japan that have examined the viability of treatment recommendations from MDTMs or what the causes of non-implementation might be. Therefore, this study aimed to analyze how the indications for radiotherapy were discussed and recommended, identified the percentage of patients for whom the recommended radiotherapy was not performed, and clarified the reasons for non-implementation with a focus on radiotherapy recommendations from MDTMs at a single university hospital in Japan.

Methods

This cross-sectional study analyzed the minutes and electronic medical records of cases discussed at MDTMs held between April 2012-March 2017 at Yamagata University Hospital in Japan. MDTMs have been conducted once or twice a week since September 2008 at this regional cancer hospital, with professionals across 13 specialty fields (Hematology, Gastrointestinal, Head and Neck, Breast, Hepatobiliary, Ophthalmology, Bone and Soft Tissue, Lung, Brain, Urology, Pediatric, Gynecology, and Dermatology) discussing approximately 360 cases each year. The core attendees at MDTMs are medical oncologists, radiation oncologists, palliative care specialists, and certified nurses. Radiologists, pharmacists, and pathologists participate as needed. In the MDTMs, most cases are already diagnosed by imaging and pathological methods, and the focus of the discussion is on the best treatment strategy for each case. The case presentation is performed by clinicians (attending physicians or attending surgeons) who may or may not have a treatment plan. The content of the meeting is recorded by the senior resident using the minutes of the meeting, created internally by the hospital's list with Excel. We show the flow of decision-making through MDTMs on the left side of Fig. 1. The attending physician recorded the results of MDTMs’ recommendations in the electronic medical record; after MDTMs, the treatment recommendations are explained to the patient, and finally, the patient decides on the treatment plan. This process is also documented in the electronic medical record by clinicians.

Fig. 1
figure 1

The flow of decision making through meetings and the flow of analysis in this study

To determine the implementation rate and impact of recommendations made at MDTMs on radiotherapy, this study used minutes and electronic medical records to analyze: (1) how radiotherapy was discussed at MDTMs, (2) whether radiotherapy was recommended throughout MDTMs, and (3) whether the recommendations made at MDTMs were subsequently implemented and the reasons for cases where they were not implemented (see right side of Fig. 1). Moreover, we also investigated whether these results differed from year to year.

First, we classified the cases into five categories, according to the status of initial treatment proposals at MDTMs (Table 1). Category A cases are cases presented without a treatment plan (e.g., How could we treat this patient?). Category B1 cases are cases presented with a single treatment plan, including radiotherapy (e.g., What about radiotherapy alone?). Category B2 cases are those presented with a single treatment plan, not including radiotherapy (e.g., What about surgery alone? Or, chemotherapy alone? Or, best supportive care alone?). Category C1 cases are cases presented with several treatment plans, including radiotherapy (e.g., Which would be better, chemoradiotherapy or surgery?). Category C2 cases are cases that are presented with several treatment plans, not including radiotherapy (e.g., Which would be better, chemotherapy or surgery?).

Table 1 Classification of initial treatment proposals presented at MDTMs*

Next, we examined how the recommendations for radiotherapy changed with MDTMs compared with the status of the initial treatment proposals (Fig. 1). The method for this involved confirming whether the cases judged to be suitable for radiation therapy by the meeting had radiotherapy later by matching the patient ID list in the MDTMs’ minutes with the ID list of new patients for radiation therapy within the next few months. Then, we classified them as meeting recommendation implemented or non-implemented cases. Subsequently, we manually categorized the reasons for non-implemented cases based on the descriptions in the medical records (Fig. 1).

Statistical analysis was performed using SPSS Version 23 (IBM: Armonk, NY, USA). We conducted a univariate analysis with some clinical variables (sex, age, number of multidisciplinary team meetings, and classification of planned treatment) to determine whether clinical factors affected the implementation of radiotherapy recommendations from MDTMs. The data were stratified as follows: for age, we set it at under 70 years or over; for the number of MDTMs, we stratified in the initial or later MDTMs; for pre-treatment options, we stratified category A or another.

Results

There were 1813 cases discussed at MDTMs between April 2012-March 2017. This included 1463 patients; 1111 patients were discussed once, 184 patients were discussed twice, 64 patients were discussed 3 times, 23 patients were discussed 4 times, 6 patients were discussed 5 times, 2 patients were discussed 6 times, and 1 patient was discussed 8 times.

The case characteristics are shown in Table 2. The overall median age of patients was 71 years. The most common specialty fields were Lung, Urology, and Brain. Ophthalmology and Dermatology, which are less common, had fewer cases. Breast, which should have a large number of cases, had very few cases (1.2%).

Table 2 Cases characteristics

The number of patients in each planned treatment classification is shown in Table 3. Category B1 was the most common, with 1080 cases. Category A of all cases was 224 cases, category B2 was 260 cases, category C1 was 213 cases, and category C2 was 36 cases when the initial treatment proposals were presented at MDTMs. As a result, 71% (category B1 + category C1: 1293 cases) were presented with treatment plans, including radiotherapy.

Table 3 Percentage of recommendations for radiotherapy and implementation of MDTMs’* decisions

After the time of the presentation to the meeting, radiotherapy was recommended in 66% (n = 1205) of all cases as the result of MDTMs. Of category B1 cases, for whom radiation therapy was planned, radiotherapy was not selected as a recommended treatment in 9% (n = 98). Of category B2 cases, for whom radiation therapy was not planned, radiotherapy was recommended in 5% (n = 14). Of category C1 cases, for whom radiation therapy was one of the treatment options, radiation therapy was not recommended in 43% (n = 91). Of category C2 cases, for whom radiation therapy was excluded as a treatment option, radiation therapy was recommended in 17% (n = 6). The implementation rate of radiotherapy with patient ID matching confirmation was high (n = 1689, 93%), but 7% (124 cases) were not implemented.

We show reasons for non-implementation in Table 4. The most common reason for non-implementation was clinician’s opinion (30%, n = 37), followed by patient preferences (27%, n = 34), and disease progression (20%, n = 25). Change in cancer stage and improvement in symptoms were 12% (n = 15) and 4% (n = 5), respectively.

Table 4 Reasons for non-implementation

These results were similar from year to year in terms of the percentage of radiotherapy recommendations and the rate of implementation of those recommendations (Fig. 2).

Fig. 2
figure 2

The number of radiotherapy recommendations made and the number of MDTM recommendations not implemented by year

We conducted univariate analysis to determine whether each factor had an effect on the non-implementation rate. It was found that no factor showed a significant difference (sex, p = 0.187; age, p = 0.64; number of MDTMs, p = 0.365; classification of planned treatment, p = 0.078).

Discussion

In this study, we analyzed how the indications for radiotherapy were discussed and recommended in MDTMs and revealed the non-implementation rate and the causes of non-implementation. We found that the recommended rate of radiotherapy in MDTMs was high. Previous reports have also shown the effect of MDTMs on radiotherapy. Lan et al. showed a significant increase in the use of radiotherapy in colorectal cancer patients by MDTMs [14]. Similarly, Boxer et al. showed that MDTMs lead to a significant increase in the use of radiotherapy in lung cancer [15]. Similarly, the influence of MDTMs on treatment decisions has been reported for various cancers. Forrest et al. reported that the rate of palliative care decreased, and the rate of active chemotherapy increased after MDTMs were introduced in inoperable patients with non-small cell lung cancer [16]. Schmidt et al. reported that MDTMs caused recommendations to differ from the administrator's initial plan in 26–40% of cases of lung cancer patients, and Ung et al. analyzed that MDTMs changed management plans in 58% of the cases [17, 18]. For gynecologic tumors, Gatcliffe et al. prospectively surveyed MDTMs and reported patient assessment or management changes in 34.6% of patients, with significant changes found in 24.5% of the cases [19]. Cohen et al. assessed the role of MDTMs in the management of gynecologic cancers and found major (5.9%) and minor (3.1%) changes in 9% of patients and standard changes in patient management that resulted from MDTMs with the addition of chemotherapy and surgery [20]. For breast cancer, Murthy et al. reported that 42.1% of the patients had changed management plans through MDTMs [21]. Pawlik et al. evaluated the impact of MDTMs on the management of pancreatic cancer and found that 38 of 203 (18.7%) patients had a change in the status of their clinical stage after a review of submitted imaging [22]. De Luca et al. indicated that the uro-oncology MDTMs alter management plans in at least one-quarter of patients, reaching almost 50% of cases in locally advanced disease [23]. Thus, previous studies have shown that MDTMs contribute to deciding the treatment direction.

However, in our study, 7% of the treatment directions recommended about radiotherapy at the MDTMs were not implemented. The most common reason for non-implementation was clinician’s opinion (30%, n = 37), followed by patient preferences (27%, n = 34). This non-implementation rate and the primary reasons were similar to other multiple MDTM studies, with clinician’s decision at 23–24% and patient preference at 28–36% [12, 13]. The results for the reason for clinician’s opinion may be explained by the difference in views between clinicians and radiation oncologists. Fowler et al. in a comparison of recommendations by urologists and radiation oncologists for the treatment of clinically localized prostate cancer, reported that 93% of urologists tend to recommend radical prostatectomy, whereas 72% of radiation oncologists believe that surgery and external beam radiotherapy are equivalent treatments [24]. Furthermore, Ariane et al. revealed significant differences in therapeutic approaches between urologists and radiation oncologists who deal with localized prostate cancer [25]. For intermediate-risk prostate cancer in a 65-year-old patient, 96.5% of urologists chose radical prostatectomy versus 37.7% of radiation oncologists.

Meanwhile, recommendations at MDTMs may not be implemented for other reasons. Blazeby et al. investigated the implementation of such decisions in upper-gastrointestinal cancer cases and found discordance in 15.1% of the cases, with the central reasons for discordance being comorbid health issues (43.9%), patient choice (34.2%), and decision changes when more clinical information becomes available (19.5%) [26]. In a similar study of breast cancer cases in the United Kingdom, English et al. identified the most common reason for discordance as patient preferences (65%); other reasons are the discovery of new clinical information and surgeons’ views [27].

In this study, we could not find a factor of non-implementation within the statistics for patients who were not treated according to the recommendation at MDTMs. However, previous studies revealed that factors of non-implementation were tumor site and comorbidities [11, 13, 28].

The number of non-implemented cases tended to be higher among cases in category C1 (multiple treatment plans including radiotherapy as the initial treatment plan), and the proportion of cases in hematological and gastrointestinal diseases tended to be higher than in other fields (Table 5). Hematological cases may be more prone to changes in symptoms than cases in other fields, and the percentage of non-implemented cases may be higher. It is unclear why there were many non-implemented cases for cases of gastrointestinal cancer, but it may be that fewer cases are presenting to MDTMs, and low activity against MDTMs tends to result in more non-implemented cases.

Table 5 Details on the non-implementation of MDTMs’** decisions

This study has several limitations. This is a retrospective study at a single institution in Japan, and the case mix is not the typical proportion of cancer cases in Japan, and hence, may have a bias in the number of cases. In addition, the confirmation of the reason for not conducting the study is not a fixed item extraction but a manual confirmation from the medical record description. Furthermore, the failure to identify influencing factors was most likely due to insufficient clinical variables.

We will continue to check the consistency of the treatment recommended by MDTMs, but we need to establish a monitoring system to ensure that recommended treatments are adequately explained by clinicians and decision-making is based on patients’ choices.

Conclusions

The rate of radiotherapy recommendations at MDTMs was high, and the implementation rate after MDTMs was also high. Therefore, we concluded that MDTMs led to a significant effect on the recommendation of radiotherapy and were effective in determining the treatment plan for each patient with a tumor.

The primary reason for the non-implementation of decisions made in MDTMs was the opinion of clinicians and the patient's preference, and these results were similar to previous studies. We need to establish a system where patients can monitor the treatments they receive based on their choices.

Availability of data and materials

We will allow the journal to review our data if requested. All raw data are written in Japanese. The data material used in this study is available from the corresponding author on reasonable request, provided it does not conflict with the anonymity and confidentiality of the data.

Abbreviations

MDTMs:

Multidisciplinary team meetings

References

  1. Tripathy D. Multidisciplinary care for breast cancer: barriers and solutions. Breast J. 2003;9:60–3. https://doi.org/10.1046/j.1524-4741.2003.09118.x.

    Article  PubMed  Google Scholar 

  2. Kurpad R, Kim W, Rathmell WK, Godley P, Whang Y, Fielding J, et al. A multidisciplinary approach to the management of urologic malignancies: does it influence diagnostic and treatment decisions? Urol Oncol. 2011;29:378–82. https://doi.org/10.1016/j.urolonc.2009.04.008.

    Article  PubMed  Google Scholar 

  3. Kagan AR. The multidisciplinary clinic. Int J Radiat Oncol Biol Phys. 2005;61:967–8. https://doi.org/10.1016/j.ijrobp.2004.10.040.

    Article  PubMed  Google Scholar 

  4. van Nes JG, van de Velde CJ. The multidisciplinary breast cancer care team: promoting better care. Ned Tijdschr Geneeskd. 2005;149:1929–31.

    PubMed  Google Scholar 

  5. Nemoto K, Murakami M, Ichikawa M, Ohta I, Nomiya T, Yamakawa M, et al. Influence of a multidisciplinary cancer board on treatment decisions. Int J Clin Oncol. 2013;18:574–7. https://doi.org/10.1007/s10147-012-0420-x.

    Article  PubMed  Google Scholar 

  6. Ichikawa M, Nemoto K, Miwa M, Ohta I, Nomiya T, Yamakawa M, et al. Status of radiotherapy in a multidisciplinary cancer board. J Radiat Res. 2014;55:305–8. https://doi.org/10.1093/jrr/rrt104.

    Article  PubMed  Google Scholar 

  7. Nakamura S, Fukui T, Ito Sasahara Y, Suzuki S, Takeda H, Miwa M, et al. The role of cancer boards in the treatment decisions regarding chemotherapy. Intern Med. 2016;55:3119–23. https://doi.org/10.2169/internalmedicine.55.7176.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Lamb BW, Brown KF, Nagpal K, et al. Quality of care management decisions by multidisciplinary cancer teams: a systematic review. Ann Surg Oncol. 2011;18:2116–25. https://doi.org/10.1245/s10434-011-1675-6.

    Article  PubMed  Google Scholar 

  9. Hahlweg P, Didi S, Kriston L, Härter M, Nestoriuc Y, Scholl I. Process quality of decision-making in multidisciplinary cancer team meetings: a structured observational study. BMC Cancer. 2017;17:772. https://doi.org/10.1186/s12885-017-3768-5.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Soukup T, Lamb BW, Sarkar S, Arora S, Shah S, Darzi A, et al. Predictors of treatment decisions in multidisciplinary oncology meetings: a quantitative observational study. Ann Surg Oncol. 2016;23:4410–7. https://doi.org/10.1245/s10434-016-5347-4.

    Article  PubMed  Google Scholar 

  11. Vinod SK, Wellege NT, Kim S, Duggan KJ, Ibrahim M, Shafiq J. Translation of oncology multidisciplinary team meeting (MDTM) recommendations into clinical practice. BMC Health Serv Res. 2021;21:461. https://doi.org/10.1186/s12913-021-06511-3.

    Article  PubMed  PubMed Central  Google Scholar 

  12. De Ieso PB, Coward JI, Letsa I, Schick U, Nandhabalan M, Frentzas S, et al. A study of the decision outcomes and financial costs of multidisciplinary team meetings (MDTMs) in oncology. Br J Cancer. 2013;109:2295–300. https://doi.org/10.1038/bjc.2013.586.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Hollunder S, Herrlinger U, Zipfel M, Schmolders J, Janzen V, Thiesler T, et al. Cross-sectional increase of adherence to multidisciplinary tumor board decisions. BMC Cancer. 2018;18:936. https://doi.org/10.1186/s12885-018-4841-4.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  14. Lan YT, Jiang JK, Chang SC, Yang SH, Lin CC, Lin HH, et al. Improved outcomes of colorectal cancer patients with liver metastases in the era of the multidisciplinary teams. Int J Colorectal Dis. 2016;31:403–11. https://doi.org/10.1007/s00384-015-2459-4.

    Article  PubMed  Google Scholar 

  15. Boxer MM, Vinod SK, Shafiq J, Duggan KJ. Do multidisciplinary team meetings make a difference in the management of lung cancer? Cancer. 2011;117:5112–20. https://doi.org/10.1002/cncr.26149.

    Article  PubMed  Google Scholar 

  16. Forrest LM, McMillan DC, McArdle CS, Dunlop DJ. An evaluation of the impact of a multidisciplinary team, in a single centre, on treatment and survival in patients with inoperable non-small-cell lung cancer. Br J Cancer. 2005;93:977–8. https://doi.org/10.1038/sj.bjc.6602825.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  17. Schmidt HM, Roberts JM, Bodnar AM, Kunz S, Kirtland SH, Koehler RP, et al. Thoracic multidisciplinary tumor board routinely impacts therapeutic plans in patients with lung and esophageal cancer: a prospective cohort study. Ann Thorac Surg. 2015;99:1719–24. https://doi.org/10.1016/j.athoracsur.2014.11.019.

    Article  PubMed  Google Scholar 

  18. Ung KA, Campbell BA, Duplan D, Ball D, David S. Impact of the lung oncology multidisciplinary team meetings on the management of patients with cancer. Asia Pac J Clin Oncol. 2016;12:e298-304.

    Article  Google Scholar 

  19. Gatcliffe TA, Coleman RL. Tumor board: more than treatment planning–A 1-year prospective survey. J Cancer Educ. 2008;23:235–7. https://doi.org/10.1080/08858190802189014.

    Article  PubMed  Google Scholar 

  20. Cohen P, Tan AL, Penman A. The multidisciplinary tumor conference in gynecologic oncology–does it alter management? Int J Gynecol Cancer. 2009;19:1470–2. https://doi.org/10.1111/IGC.0b013e3181bf82df.

    Article  PubMed  Google Scholar 

  21. Murthy V, Nobre S, Sparber L, Schaefer S, Santoro E, McDermott J, et al. Multidisciplinary breast conference improves patient management and treatment. Surg Sci. 2014;05:314–9. https://doi.org/10.4236/ss.2014.57053.

    Article  Google Scholar 

  22. Pawlik TM, Laheru D, Hruban RH, Coleman J, Wolfgang CL, Campbell K, et al. Evaluating the impact of a single-day multidisciplinary clinic on the management of pancreatic cancer. Ann Surg Oncol. 2008;15:2081–8. https://doi.org/10.1245/s10434-008-9929-7.

    Article  PubMed  PubMed Central  Google Scholar 

  23. De Luca S, Fiori C, Tucci M, Poggio M, Allis S, Bollito E, et al. Prostate cancer management at an Italian tertiary referral center: does multidisciplinary team meeting influence diagnostic and therapeutic decision-making process? A snapshot of the everyday clinical practice. Minerva Urol Nefrol. 2019;71:576–82. https://doi.org/10.23736/S0393-2249.19.03231-4.

    Article  PubMed  Google Scholar 

  24. Fowler FJ, McNaughton Collins MM, Albertsen PC, Zietman A, Elliott DB, Barry MJ. Comparison of recommendations by urologists and radiation oncologists for treatment of clinically localized prostate cancer. JAMA. 2000;283:3217–22. https://doi.org/10.1001/jama.283.24.3217.

    Article  PubMed  Google Scholar 

  25. Ariane MM, Ploussard G, Rebillard X, Malavaud B, Rischmann P, Hennequin C, et al. Differences in practice patterns between urologists and radiation oncologists in the management of localized prostate cancer: a cross-sectional survey. World J Urol. 2015;33:1741–7. https://doi.org/10.1007/s00345-015-1543-2.

    CAS  Article  PubMed  Google Scholar 

  26. Blazeby JM, Wilson L, Metcalfe C, Nicklin J, English R, Donovan JL. Analysis of clinical decision-making in multi-disciplinary cancer teams. Ann Oncol. 2006;17:457–60. https://doi.org/10.1093/annonc/mdj102.

    CAS  Article  PubMed  Google Scholar 

  27. English R, Metcalfe C, Day J, Rayter Z, Blazeby JM, breast cancer multi-disciplinary team. A prospective analysis of implementation of multi-disciplinary team decisions in breast cancer. Breast J. 2012;18:459–63; https://doi.org/10.1111/j.1524-4741.2012.01270.x.

  28. Stairmand J, Signal L, Sarfati D, Jackson C, Batten L, Holdaway M, et al. Consideration of comorbidity in treatment decision making in multidisciplinary cancer team meetings: a systematic review. Ann Oncol. 2015;26:1325–32. https://doi.org/10.1093/annonc/mdv025.

    CAS  Article  PubMed  Google Scholar 

Download references

Acknowledgements

The members of MDTMs and the doctors who record the minutes are kindly acknowledged.

We would like to thank Editage (www.editage.com) for English language editing.

Funding

Not applicable.

Author information

Affiliations

Authors

Contributions

MI conceived the study design for this research, interpreted the data and was principally responsible for drafting the manuscript and for a few cycles of revision of the manuscript. KU, NY, and MY participated in the acquisition and analysis of data. SK, HA and HS participated in the interpretation of data. TO, YH participated in the review and revision of the paper. review. KN contributed to the study design and Supervision. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Mayumi Ichikawa.

Ethics declarations

Ethics approval and consent to participate

The study was approved by the Ethics Committee of Yamagata University School of Medicine (ID:2017–121). The study was performed in accordance with the approved protocol and we were permitted to accessed minutes of patients data by committee of management of MDTMs. The patients gave written consent for the use of the data and agreed to participate in this study.

Consent for publication

Not applicable. No identifiable information is revealed in the manuscript.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visithttp://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Ichikawa, M., Uematsu, K., Yano, N. et al. Implementation rate and effects of multidisciplinary team meetings on decision making about radiotherapy: an observational study at a single Japanese institution. BMC Med Inform Decis Mak 22, 111 (2022). https://doi.org/10.1186/s12911-022-01849-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12911-022-01849-y

Keywords

  • Multidisciplinary team meetings
  • Tumor board
  • Cancer
  • Oncology
  • Radiotherapy
  • Decision making