Next Article in Journal
Genome-Wide Screening Identifies Gene AKR1C1 Critical for Resistance to Pirarubicin in Bladder Cancer
Previous Article in Journal
The Role of STATs in Ovarian Cancer: Exploring Their Potential for Therapy
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Learning from Adaptations to the COVID-19 Pandemic: How Teleconsultation Supported Cancer Care Pathways at a Comprehensive Cancer Center in Northern Italy

1
Quality and Accreditation Office, Medical Directorate, Azienda Unità Sanitaria Locale-IRCCS di Reggio Emilia, 42123 Reggio Emilia, Italy
2
Clinical Trials Center, Research and Statistics Infrastructure, Azienda Unità Sanitaria Locale-IRCCS di Reggio Emilia, 42123 Reggio Emilia, Italy
3
Information Technology Unit Department, Azienda Unità Sanitaria Locale-IRCCS di Reggio Emilia, 42123 Reggio Emilia, Italy
4
Scientific Directorate, Azienda Unità Sanitaria Locale-IRCCS di Reggio Emilia, 42123 Reggio Emilia, Italy
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Cancers 2023, 15(9), 2486; https://doi.org/10.3390/cancers15092486
Submission received: 5 April 2023 / Revised: 21 April 2023 / Accepted: 24 April 2023 / Published: 26 April 2023

Abstract

:

Simple Summary

Multidisciplinary team (MDT) meetings are widely recognized as the gold standard for care management of cancer patients. During the pandemic, cancer care delivery was a priority to be maintained through cancer care pathways (CCPs) and MDT meetings, which were forcibly converted from in-person to telematic format. The aim of our retrospective study was to report the evolution of MDT meeting performance following the shift to teleconsultation by analyzing four MDT meeting indicators between 2019 and 2022. We observed that the MDT meeting teleformat strengthened the overall CCP performance by boosting the participation of MDT members and the number of discussed cases, all without compromising either the annual frequency or duration of MDT meetings. Considering the rapidity, extent, and intensity with which telematic tools have been adopted due to the COVID-19 pandemic, the results of this study help to understand the effects of these tools on health care and the parties involved.

Abstract

Multidisciplinary team (MDT) meetings are recognized as the gold standard for care management of cancer patients, and during the COVID-19 pandemic they were considered a priority to be maintained. Due to pandemic-related restrictions, MDT meetings were forcibly converted from in-person to telematic format. This retrospective study evaluated the annual performance of four MDT meeting indicators (MDT members’ attendance, number of discussed cases, frequency of MDT meetings, and duration) between 2019 and 2022 to report on the implementation of teleconsultation in MDT meetings related to 10 cancer care pathways (CCPs). Over the study period, MDT member participation and the number of discussed cases improved or did not change in 90% (9/10) and 80% (8/10) of the CCPs, respectively. We did not observe significant differences in any of the CCPs included in the study regarding the annual frequency and duration of MDT meeting. Considering the rapidity, extent, and intensity with which telematic tools were adopted due to the COVID-19 pandemic, the results of this study showed that MDT teleconsultation supported the CCPs, and consequently, the delivery of cancer care in COVID-19 times, helping to understand the effects of telematic tools on health care performance and the parties involved.

1. Introduction

Care pathways (CPs) are complex interventions aimed at addressing discrepancies in the quality of care across the continuum [1]. A CP is concerned with a timeline of structured events to assist health care providers in coordinating and delivering care in the safest, most appropriate, effective, timely, efficient and equal manner [2,3,4]. It is also a valuable and cost-effective tool, especially in the field of oncology [5,6]. This characteristic is relevant in COVID-19 times, in which more professional and technical resources than ever need to be preserved.
Meetings among multidisciplinary team (MDT) members represent the cornerstone of CPs, independently of the disease of interest. An MDT is composed of health care practitioners with specialized skills who meet periodically to carry out a decision-making process about diagnosis and treatment in accordance with evidence-based recommendations [7]. In newly diagnosed cancer patients, MDT members are involved at the outset of care to sub-classify the disease process and determine the intensity and type of therapy in order to avoid time-consuming and inadequate treatments and to ensure proper evidence-based management, while facing a complex landscape of treatment options [8]. In patients affected by colorectal, lung, prostate, and breast cancer, a recent review by Kočo et al. [9] showed that a case management plan can change in up to 58% of cases after MTD discussion, with a reduction in overall performed surgery and an increase in the use of chemotherapy and MRI imaging [9]. The authors also underscored that MDT discussion contributes to increasing the survival rate significantly, but provided weak evidence [9,10]. Weakness regarding this issue is also reported in head and neck cancer [11,12,13], gastroesophageal and gastrointestinal cancer [14,15,16,17], primary and/or recurrent vulvar carcinoma [18,19], bladder cancer [20], adrenocortical carcinoma [21], and ovarian cancer [22].
Based on the key role of MTD meetings in affecting patient outcomes, meetings discussing newly diagnosed cancer cases and/or cases of recurrence are widely recognized as the gold standard in CCP management and as a platform to achieve clinical integration [17,23,24]. However, factors still exist that influence the quality and functioning of MDT meetings with regard to members’ compliance and attendance, discrepancies between workload and health care professional resources, equipment availability, meeting format, communication practices, and the lack of awareness regarding the educational functions for residents [25,26,27]. To date, solutions able to overcome these barriers are still lacking, and such solutions are required in order to reach a standardized model by which an MDT meeting should be conducted [28]. In regard to the period of COVID-19, it is reasonable to speculate that the reorganization of health care services and strategies implemented in response to the major waves of the pandemic may have strengthened MDT barriers and consequently affected the functioning of CPs. In particular, health care providers quickly adopted telematic resources to provide and support health care when the pandemic forcibly separated the parties involved in the process of care. Teleconferencing has experienced unexpected implementation for sharing knowledge with the scientific community [29], and telemedicine, defined as a medical act in which the health care practitioner interacts remotely in real time with the patient [30], promptly supported many medical settings without compromising either medical care or the patient-clinician relationship [31,32,33,34,35]. To date, the effects of implementation of telematic resources are still under research, mainly because of the rapidity, extent, and intensity with which they were adopted.
Our context is a public Local Health Authority (AUSL) comprising six hospitals together with a Cancer Research Hospital (IRCCS) that is officially recognized as a research hospital by the Italian Ministry of Health and designated as a comprehensive cancer center by the Organization of European Cancer Institutes (OECI). Both the province and region where our reality is located were hit severely and early by the first wave of the pandemic. To face the challenges the pandemic posed, our health system implemented a specific strategy based on the following key elements: building separate pathways for COVID and non-COVID patients; treating all COVID patients in need of hospitalization, while continuing to ensure adequate and appropriate care for all non-COVID patients in case of emergency and/or complex cases; never stop delivery of cancer care; and moving promptly and in a coordinated manner within the network and in cooperation with other local health organizations. As reported by researchers at our center [36], screening programs were suspended from the middle of March to the end of May, on average. However, once resumed, actions implemented to screen patients scheduled in that period minimized the impact of the lockdown on cancer screening delays and diagnosis. New diagnoses returned to a number only slightly lower than those observed in 2019.
During the pandemic, the delivery of cancer care by means of eleven cancer CPs (CCPs) active in our context was a priority to be maintained over other services, including the continuation of MDT meetings. The methodological rules for MDT operation adopted by our AUSL-IRCCS are presented in Supplementary File S1. Based on the pivotal role of MDT meetings for cancer care management, the Medical Directorate determined that CCP MDT members would be among the first to be provided with the limited teledevices available at the time. In parallel, CCP MDT members asked to be enabled to continue their meetings, affirming their indispensable value even in a situation of extreme rationing of resources. The devices for teleconferencing were actually already available at the Institution in the years prior to the pandemic, but only the prostate CCP MDT members used them. For this reason, the prostate CCP was not included in this study. The Quality and Accreditation Office supports CP activities according to the methodological model of the European Pathway Association [1] and through professional data managers, who collect data and information useful for monitoring the performance of CPs as daily practice and support professionals through the implementation. During the pandemic, CCP data managers maintained the daily practice and trained MDT groups on the installation and use of the digital discussion platforms, and attended MDT meetings to support participants in case of technical issues. The MDT telemeetings were held initially with LifesizeTM software (Austin, TX, USA) and later with Microsoft Teams [37]. The standard requirements for using both platforms included a computer equipped with a digital camera and a microphone. No further devices, such as digitizers for microscopes, were required to conduct MDT telemeetings. The platforms allowed the creation of a virtual agenda to maintain the schedule of MDT meetings. On the day of appointment, MDT members accessed a virtual space that hosted the meeting, with the ability to share their screen and access the patient’s electronic medical record to consult the clinical documentation and discuss all the clinical findings relevant to the recommendation. This setting ensured the continuity of CCPs, even during the pandemic, along with the conduction of the MDT meetings, which shifted from face-to-face to teleconsultation format. By teleconsultation, we specifically mean a telematic approach defined as a medical act in which MDT participants converse remotely with each other via video call regarding a patient’s clinical situation, sharing clinical data, reports, images and audio-video materials related to the specific case [30].
The aim of this study was to examine whether the pandemic-induced implementation of teleconsultation for CCP MDT meetings supported overall MTD meeting performance and, in turn, the continuity of cancer care delivery by exploring how four MDT meeting indicators (i.e., (i) the number of members’ attendance, (ii) the number of cases to discuss, (iii) the duration of meetings, and (iv) the frequency of meetings) performed between 2019 and 2022.

2. Materials and Methods

This was a retrospective study on ten CCPs managed by the Quality and Accreditation Office, AUSL—IRCCS in Reggio Emilia, Italy. Ethical approval by the Institutional Review Board (IRB)/Ethics Committee was not applicable. CPs considered in the study involved neuro-oncology, pancreatic cancer, lung cancer, colorectal cancer, liver cancer, thyroid cancer, breast cancer, skin cancer, ovarian cancer, and lymphoma.
To evaluate the performance of CCP MDT meetings in teleformat, we determined the average number of participants per year and the average number of cases discussed per year in each CCP as first and second endpoints of the study, respectively. The first endpoint was defined as the ratio between the total number of MDT meeting participants and the total number of meetings held, per year. The second endpoint was defined as the ratio between the total number of cases under discussion and the total number of meetings held, per year. We also determined the duration and frequency of MDT meetings as the third and fourth endpoints of the study, respectively. The third endpoint was defined as the average time between the discussion of the first and last case in each CCP MDT meeting, except for skin CCP due to reasons outside the purpose of the study. The fourth endpoint was defined as the difference between the a priori defined number of MDT meetings in each CCP and the number of meetings actually conducted over a one-year period.
Over the study period, MDT meetings were held once a week with regard to the colorectal CCP, lymphoma CCP, breast CCP, ovarian CCP, pancreatic CCP, lung CCP, and skin CCP. In the neuro-oncology CCP, MDT meetings were held twice a month until 2021, and once a week starting from 2022. Liver CCP and thyroid CCP MDT meetings were held twice a month.
Data on all four endpoints were obtained from electronic medical records produced at the end of each MDT meeting in 2019, 2020, 2021 and 2022, in which, according to standard practice, the meeting recommendations and outcomes, including frequency, participant attendance, cases to discuss, and length of discussion, are registered. These records are kept in an institutional repository and can be accessed by CCP data managers for indicator processing, which is returned annually to CCP members. It was not necessary to use different systems than those used before the teleformat was implemented to record all of the above information, including the MDT recommendations, in the electronic medical records.
The discussions could involve incident cases, cases of recurrence, and/or individuals with a diagnostic suspicion of cancer. Each CCP establishes a priori criteria for selecting patients for discussion and for defining the appropriate phase of the pathway at which a patient should be discussed, according to regional regulations on cancer care.
The endpoints related to 2019, i.e., before the pandemic, when MDT meetings were held face-to-face, were compared with the endpoints from 2020, i.e., during the major pandemic waves, when MDT meetings switched to virtual format, as well as from 2021 and 2022, i.e., after the major pandemic waves, when MDT meetings continued to be held in a virtual format or hybrid equivalent, to assess the support of teleconsultation in relation to MDT performance. Of note, since March 2020, teledevices have been promptly available for use.
Statistical analysis was performed using R 4.2.2, R Core Team [38]. For each CCP, we summarized the mean session count of discussed cases and participants, accompanied by a Poisson 95% confidence interval, by year. We then explored the effect of year on mean count for each CCP, comparing the Poisson GLM model with and without year covariate by a likelihood ratio test. In case of a significant result (p < 0.05), we estimated the three-rate ratio (between the considered year in turn and 2019, the pre-pandemic year), accompanied by three 1–0.05/3 level two-tailed confidence intervals. We added a Bonferroni adjusted p-value against the null hypothesis of RR = 1 (no difference compared to 2019). For typographical reasons, only the latter is presented.
The third and fourth endpoints were analyzed by descriptive statistics.

3. Results

For each CCP, we first considered the overall test, which is statistically significant (p < 0.05) if there is at least one year (2019, 2020, or the following years) that is different from the others (p overall column in Table 1 and Table 2). Subsequently, only for those CCPs for which the overall test showed a significant difference, a comparison was made for each post-pandemic year (i.e., 2020, 2021, and 2022) to detect any change compared to the pre-pandemic year considered as baseline (i.e., 2019) (see p adjusted vs. 2019 column in Table 1 and Table 2).

3.1. First Endpoint

Table 1 shows the mean number of participants per year calculated for each CCP, together with a bilateral 95% confidence interval. We found a significant increase for colorectal CCP (p < 0.001; 2021 vs. 2019, p < 0.001; 2022 vs. 2019, p < 0.05), liver CCP (overall p < 0.05; 2021 vs. 2019, p < 0.001), ovary CCP (overall p < 0.001; 2021 vs. 2019, p < 0.001; 2022 vs. 2019, p < 0.001) and thyroid CCP (overall p < 0.001; 2021 vs. 2019, p < 0.001; 2022 vs. 2019, p < 0.001). A statistically significant decrease was found with regard to skin cancer CCP (overall p < 0.001; 2020 vs. 2019, p < 0.001), but in the remaining study period the mean estimate returned approximately to baseline. No significant differences were found for neuro-oncology, lymphoma, breast, pancreatic and lung CCPs.

3.2. Second Endpoint

Table 2 shows the mean number of cases discussed per year calculated for each CCP, together with a bilateral 95% confidence interval. We found a significant increase for neuro-oncology CCP (overall p < 0.001; 2021 vs. 2019, p < 0.001; 2022 vs. 2019, p < 0.05), ovary CCP (overall p < 0.001; 2020 vs. 2019, p < 0.001; 2021 vs. 2019, p < 0.001; 2022 vs. 2019, p < 0.001) and thyroid CCP (overall p < 0.001; 2022 vs. 2019, p < 0.001). A significant decrease was found with regard to liver CCP (overall p < 0.001; 2021 vs. 2019, p < 0.001; 2022 vs. 2019, p < 0.001) and skin cancer CCP (overall p < 0.001; 2020 vs. 2019, p < 0.001; 2021 vs. 2019, p < 0.05). No significant differences were found for colorectal, lymphoma, breast, pancreatic, and lung CCPs.

3.3. Third Endpoint

The duration of the CCP MDT meetings depend on the number of cases to discuss in addition to the complexity of each case. We calculated the average duration of MDT meetings in each CCP (see Table 3). The difference between meeting duration in 2019 and the longest/shortest meeting in the period 2020–2022 ranged from −00.39:00 to +00.31:00 min, with those meetings being related to lung and thyroid CPs, respectively (see Δ column in Table 3).

3.4. Fourth Endpoint

CCP data managers record requests from CCP MDT members regarding any changes in the frequency of MDT meetings with respect to what was established a priori. During the pandemic period, there were no requests for frequency-related changes except for the neuro-oncology and liver CCPs, which increased the number of monthly meetings. Based on the number of annual weeks, vacations, and holidays, the frequency of MDT meetings did not vary from the annual plan in any of the CCPs under study, considering an annual variation of ±6 meetings to be acceptable (see columns no. MDT meetings and frequency in Table 3).

4. Discussion

The first and second endpoints of this study suggest that the MDT meeting virtual format strengthened the overall CCP performance, accounting for an overall improved or not statistically significant different performance in nine out of ten (90%) CCPs for attendance and eight out of ten (80%) CCPs for number of cases discussed (Table 4a). Interestingly, although the teleformat implementation involved all CCPs, we observed different effects. In the case of the thyroid CCP and ovarian CCP, both endpoints improved, while in the case of the skin CCP, both endpoints worsened. During the pandemic, the skin CCP experienced a staff reduction in the Dermatology Department and a decrease in the number of patient admissions for suspected skin cancer, which probably determined the observed endpoints. In the case of the liver CCP, one endpoint worsened, while the other improved. In the case of the colorectal CCP and neuro-oncology CCP, one endpoint improved, while the other did not vary. In the case of the lymphoma CCP, breast CCP, pancreatic CCP and lung CCP, there was no effect in either endpoint (Table 4a).
Viewing the comparisons between 2019 and the following years (Table 4b), we see that the MDT meeting teleformat impacted the first endpoint to a greater extent than the second endpoint. In fact, we found that the percentage of positive significant changes concerning the first endpoint (7/8, 87.5%) was higher compared to that of the second endpoint (6/10, 60%). The overall distribution of positive significant changes increased from 2019 to 2022, and consequently, so did the number of CCPs involved, rising from one in 2020 to three in 2022. Over the study period, MDT meeting participants likely gained more experience in using the platform, overcame barriers to face-to-face attendance, and directly valued the benefits of telematic technology. In addition, we believe that it is important to consider non-significant changes as positive outcomes in light of the weight of the pandemic.
Even for the liver CCP, the worsened endpoint did not appear to depend on the use of teleconferencing. In fact, the decrease in the average number of cases discussed is probably related to the increase in the number of MDT meetings, which has changed frequency from monthly to bimonthly since the last quarter of 2020.
With respect to the third endpoint, the observed changes in meeting duration did not appear to be related to the use of teleconferencing. Further investigation would be needed to verify the causes of the reported variations, which nevertheless remain acceptable.
Regarding the fourth endpoint, we would have expected a reduction in the frequency of meetings during the pandemic period. This did not occur, and leads us to hypothesize that CCP MDT members considered MDT meetings essential, and by extension, the telematic support to maintain them.
Of note, the MDT meeting teleformat likely played an important role in maintaining the schedule of the lung CCP MDT meetings, despite the prominent involvement of Pneumology Department staff in the management of COVID-19 patients.
To date, the COVID-19 pandemic is seen as the impetus that gave dignity to telematic approaches, here intended as any virtual communication and/or conferencing between the parties involved in health care, which had previously been defined as a niche area unlikely able to replace the more traditional face-to-face MDT meeting format for cancer management [39,40]. To our knowledge, this is the first study to assess whether the teleformat for MDT meetings supported MDT performance through a comprehensive evaluation of more than one CCP. Over a longer study period, we observed results consistent with the study by Davis et al. [41] that reported higher attendance rates and a greater number of case presentations at virtual cancer MDT meetings [41]. Both before, and to a greater extent, after the pandemic, other studies have published results aligned with ours, but all of them refer to a smaller number of cases undergoing discussion, shorter study periods such as 6 months [42], individual disciplines, and/or CCP. Before the pandemic, Stevens et al. [43] demonstrated over a 6-month period that lung CCP cases discussed with the use of teleformats were not disadvantaged with respect to the recommended therapy or the appropriateness of decisions, compared to those discussed in the face-to-face format [43]. A study reporting on a 10-year experience in pediatric neuro-oncology videoconferencing provided evidence that the virtual approach was feasible and sustainable, leading to improvement in patients’ care with regard to the continuous effort to implement recommendations [44]. Van Huizen et al. [45] reported a mixed-method study over a 6-month period regarding a head and neck CCP, assessing that the added value of the videoconferenced MDT is small in terms of patient care, but MDT participants acknowledged that it is important to keep their medical viewpoints aligned and that their patients benefit from the discussions of complex cases [45]. Accordingly, by analyzing the survival rate following MDT discussion on patients affected by peritoneal mesothelioma, a national experience of monthly MDT videoconference meetings documented that the teleformat was effective at selecting patients suitable for specific treatments, favoring good outcomes from patient selection [46].
After the first pandemic waves, qualitative research better characterized the results of pre-pandemic studies, but still with reference to small study periods. Rajasekaran et al. [33] referred to sarcoma care, stating that the forced switch to virtual MDT meetings was an effective alternative to conventional face-to-face MDT meetings. The authors also underlined that the MDT meeting teleformat would facilitate conducting MDTs expanded to specialists abroad to seek opinions on complex cases, thus expanding oncology care globally [33]. Mohamedbhai et al. [47] demonstrated that head and neck CCP MDT participants felt able to perform in most indicators (such as data protection, decision making, technology, and organization/coordination), despite some concerns about the perception of a reduction in teamwork and training, as well as communication problems [47]. In 2022, Bonanno et al. [48] shared the results of a survey conducted among members of the European Society of Oncologic Imaging (ESOI) that explored the structure and efficacy of online MDT meetings during the COVID-19 pandemic, including benefits and limitations [48]. The findings confirmed that online MDT meetings are “a viable alternative to in-person meetings enabling continued timely high-quality provision of care with maintained coordination between specialties” [48]. By the time of writing, in a recent national mixed-method prospective cross-sectional study, the qualitative results showed that hybrid working and the possibility of virtual attendance through pandemic-related changes were positively maintained, against a series of limitations and objectives for future improvements [49]. The quantitative results showed significant improvement for MDT meeting organization and logistics compared to the access, case discussions, and patient representation [49].
Based on evidence coming from the pre and post-pandemic era on cancer care benefits related to the implementation of videoconferenced MDT meetings in CCPs, one might assume this implementation has optimized the overall quality of teamwork practice, mainly in terms of CCP MDT meeting attendance. An assessment of the underlying causes of pre-pandemic poor attendance at MDT meetings was not conducted, as it exceeds the scope of this study. MDTs working in cancer care require a substantial amount of the professionals’ time, and we believe that, in our setting, telediscussion has reduced the time needed for travel from provincial hospitals to the MDT meeting site, which favors member attendance.
However, we are aware that this study has some limitations. First, the quality of the MDT meeting teleformat was not investigated, in terms of active rather than passive attendee contributions. Second, it was not possible to establish the weight of factors playing a role in defining intra-CCP differences, such as clinical characteristics of individual cancer types and/or attendees’ attitudes in preparing MDT meeting workflows [50], or inter-CCP differences, such as treatment complexity and/or the amount of incident and prevalent cases, which potentially affect the overall efficiency of a CCP. Furthermore, in two cases, namely the first endpoint of the lymphoma CCP and the second endpoint of the colorectal and pancreatic CCPs, we did not find significant differences from comparisons with 2019, despite the presence of a significant overall test. This, apart from a lower power of the statistical analysis for numerical reasons, may be because the observed overall difference came from comparisons between other years rather than with 2019. This critical issue could be caused by small differences between the total number of MDT meetings actually held and the expected number. These differences can be explained if we consider that some MDT meetings were postponed or rescheduled with additional sessions due to unforeseeable issues of daily clinical practice, such as the availability and amount of staff at that time in addition to the complexity of cases assigned for discussion.
The study limitations are counterbalanced by two-fold important strengths. First, at our center, CCPs and MDT meeting policy are regulated by a consolidated set of methodological rules for team functioning. Professional data managers ensure compliance with these rules, and, during the teleformat implementation period, also monitored and supervised CCP MDT members to make tele-implementation possible. Second, we confirmed that the MDT meeting teleformat positively influenced the CP model by maintaining effectiveness and increasing efficiency of CCP MDT meetings, while complying with pandemic-related restrictions.

5. Conclusions

In conclusion, this study explored one aspect of teleconferencing use in health care in response to the COVID-19 pandemic, particularly in the field of cancer care and through the specific lens of MDT performance. Consistent with the assumption that it is necessary to understand which strategies adopted to face the COVID-19 crisis can still be useful after the pandemic and in what ways [51,52,53], we believe that the CCP MDT meeting teleformat represents an example of a pandemic-induced adaptation to take into account when planning models of care in the future. Accordingly, focusing on 2022, CCP MDT members wished to maintain the option to attend MTD meetings remotely, except for neuro-oncology CCP MDT members, who preferred to return to the in-person format. We are confident that the description of the consequences of teleconsulting implementation is just one of the different factors that can contribute to CCP functioning as a complex intervention. However, as the CP model aims to continuously improve quality care, insights from this study add another step toward this goal. Further studies are awaited to better characterize the advantages and disadvantages of implementing telematics in health care.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/cancers15092486/s1, Supplementary file S1: Methodological rules of MDT functioning.

Author Contributions

Conceptualization, J.D., G.C., F.C. and C.P.; methodology, L.C. and M.F.; analysis of first and second endpoint, L.B.; data curation, G.C., F.C. and C.P.; writing—original draft preparation, J.D.; writing—review and editing, J.D., G.C., F.C. and C.P.; supervision, E.M. and L.C.; project administration, L.C., J.D. and G.C. contributed equally to this work. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Data are available upon reasonable request to the corresponding author due to privacy restrictions.

Acknowledgments

This study was partially supported by Italian Ministry of Health—Ricerca Corrente Annual Program 2024.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. European Pathway Association: E-P-A.org. Available online: https://e-p-a.org/care-pathways/ (accessed on 21 November 2022).
  2. Clark, A. Protocol-based care: 1. How integrated care pathways work. Prof. Nurse 2003, 18, 694–697. [Google Scholar] [PubMed]
  3. Rotter, T.; Kinsman, L.; James, E.; Machotta, A.; Gothe, H.; Willis, J.; Snow, P.; Kugler, J. Clinical pathways: Effects on professional practice, patient outcomes, length of stay and hospital costs. Cochrane Database Syst. Rev. 2010, 17, CD006632. [Google Scholar] [CrossRef] [PubMed]
  4. Lawal, A.K.; Rotter, T.; Kinsman, L.; Machotta, A.; Ronellenfitsch, U.; Scott, S.D.; Goodridge, D.; Plishka, C.; Groot, G. What is a clinical pathway? Refinement of an operational definition to identify clinical pathway studies for a Cochrane systematic review. BMC Med. 2016, 23, 35. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  5. van Hoeve, J.C.; Vernooij, R.W.M.; Lawal, A.K.; Fiander, M.; Nieboer, P.; Siesling, S.; Rotter, T. Effects of oncological care pathways in primary and secondary care on patient, professional, and health systems outcomes: Protocol for a systematic review and meta-analysis. Syst. Rev. 2018, 27, 49. [Google Scholar] [CrossRef]
  6. Edney, L.C.; Gray, J.; Karnon, J. A scoping review of the economics of multidisciplinary teams in oncology care. J. Cancer Policy 2020, 26, 100257. [Google Scholar] [CrossRef]
  7. Lamb, B.W.; Brown, K.F.; Nagpal, K.; Vincent, C.; Green, J.S.; Sevdalis, N. Quality of care management decisions by multidisciplinary cancer teams: A systematic review. Ann. Surg. Oncol. 2011, 18, 2116–2125. [Google Scholar] [CrossRef]
  8. Abdulrahman, G.O., Jr. The effect of multidisciplinary team care on cancer management. Pan Afr. Med. J. 2011, 9, 20. [Google Scholar] [CrossRef]
  9. Kočo, L.; Weekenstroo, H.H.A.; Lambregts, D.M.J.; Sedelaar, J.P.M.; Prokop, M.; Fütterer, J.J.; Mann, R.M. The effects of multidisciplinary team meetings on clinical practice for colorectal, lung, prostate and breast cancer: A systematic review. Cancers 2021, 18, 4159. [Google Scholar] [CrossRef] [PubMed]
  10. Reyes Veliz, A.; Gray, J.; Karnon, J. Economics of multidisciplinary teams in oncology: A scoping review protocol. JBI Evid. Synth. 2020, 18, 1285–1291. [Google Scholar] [CrossRef] [PubMed]
  11. De Felice, F.; Tombolini, V.; de Vincentiis, M.; Magliulo, G.; Greco, A.; Valentini, V.; Polimeni, A. Multidisciplinary team in head and neck cancer: A management model. Med. Oncol. 2018, 13, 2. [Google Scholar] [CrossRef] [PubMed]
  12. Shang, C.; Feng, L.; Gu, Y.; Hong, H.; Hong, L.; Hou, J. Impact of multidisciplinary team management on the survival rate of head and neck cancer patients: A cohort study meta-analysis. Front. Oncol. 2021, 8, 630906. [Google Scholar] [CrossRef] [PubMed]
  13. Bertl, K.; Savvidis, P.; Kukla, E.B.; Schneider, S.; Zauza, K.; Bruckmann, C.; Stavropoulos, A. Including dental professionals in the multidisciplinary treatment team of head and neck cancer patients improves long-term oral health status. Clin. Oral Investig. 2022, 26, 2937–2948. [Google Scholar] [CrossRef] [PubMed]
  14. Basta, Y.L.; Bolle, S.; Fockens, P.; Tytgat, K.M.A.J. The value of multidisciplinary team meetings for patients with gastrointestinal malignancies: A systematic review. Ann. Surg. Oncol. 2017, 24, 2669–2678. [Google Scholar] [CrossRef] [Green Version]
  15. Xiang, Y.Y.; Deng, C.C.; Liu, H.Y.; Kuo, Z.C.; Zhang, C.H.; He, Y.L. The Prognostic Effect of Multidisciplinary Team Intervention in Patients with Advanced Gastric Cancer. Curr. Oncol. 2022, 29, 1201–1212. [Google Scholar] [CrossRef]
  16. Chen, L.; Zhao, M.; Tan, L.; Zhang, Y. Effects of five-step nutritional interventions conducted by a multidisciplinary care team on gastroenteric cancer patients undergoing chemotherapy: A randomized clinical trial. Nutr. Cancer 2022, 21, 329. [Google Scholar] [CrossRef] [PubMed]
  17. van Huizen, L.S.; Dijkstra, P.U.; Hemmer, P.H.J.; van Etten, B.; Buis, C.I.; Olsder, L.; van Vilsteren, F.G.I.; Ahaus, K.C.T.B.; Roodenburg, J.L.N. Reorganizing the multidisciplinary team meetings in a tertiary centre for gastro-intestinal oncology adds value to the internal and regional care pathways. A mixed method evaluation. Int. J. Integr. Care 2021, 25, 8. [Google Scholar] [CrossRef]
  18. Lancellotta, V.; Macchia, G.; Garganese, G.; Fionda, B.; Fragomeni, S.M.; D’Aviero, A.; Casà, C.; Gui, B.; Gentileschi, S.; Corrado, G.; et al. The role of brachytherapy (interventional radiotherapy) for primary and/or recurrent vulvar cancer: A Gemelli Vul.Can multidisciplinary team systematic review. Clin. Transl. Oncol. 2021, 23, 1611–1619. [Google Scholar] [CrossRef]
  19. Tagliaferri, L.; Lancellotta, V.; Casà, C.; Fragomeni, S.M.; Ferioli, M.; Gentileschi, S.; Caretto, A.A.; Corrado, G.; Gui, B.; Colloca, G.F.; et al. The radiotherapy role in the multidisciplinary management of locally advanced vulvar cancer: A multidisciplinary VulCan team review. Cancers 2021, 17, 5747. [Google Scholar] [CrossRef]
  20. González-Del-Alba, A.; Conde-Moreno, A.J.; García Vicente, A.M.; González-Peramato, P.; Linares-Espinós, E.; Climent, M.Á.; The Sogug Multidisciplinary Working Group. Management of patients with metastatic bladder cancer in the real-world setting from the multidisciplinary team: Current opinion of the SOGUG multidisciplinary working group. Cancers 2022, 23, 1130. [Google Scholar] [CrossRef]
  21. Tizianel, I.; Caccese, M.; Torresan, F.; Lombardi, G.; Evangelista, L.; Crimì, F.; Sepulcri, M.; Iacobone, M.; Padovan, M.; Galuppini, F.; et al. The overall survival and progression-free survival in patients with advanced adrenocortical cancer is increased after the multidisciplinary team evaluation. Cancers 2022, 12, 3904. [Google Scholar] [CrossRef]
  22. Junor, E.J.; Hole, D.J.; Gillis, C.R. Management of ovarian cancer: Referral to a multidisciplinary team matters. Br. J. Cancer 1994, 70, 363–370. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  23. Lamb, B.W.; Green, J.S.; Benn, J.; Brown, K.F.; Vincent, C.A.; Sevdalis, N. Improving decision making in multidisciplinary tumor boards: Prospective longitudinal evaluation of a multicomponent intervention for 1421 patients. J. Am. Coll. Surg. 2013, 217, 412–420. [Google Scholar] [CrossRef]
  24. Specchia, M.L.; Frisicale, E.M.; Carini, E.; Di Pilla, A.; Cappa, D.; Barbara, A.; Ricciardi, W.; Damiani, G. The impact of tumor board on cancer care: Evidence from an umbrella review. BMC Health Serv. Res. 2020, 31, 73. [Google Scholar] [CrossRef] [Green Version]
  25. Winters, D.A.; Soukup, T.; Sevdalis, N.; Green, J.S.A.; Lamb, B.W. The cancer multidisciplinary team meeting: In need of change? History, challenges and future perspectives. BJU Int. 2021, 128, 271–279. [Google Scholar] [CrossRef] [PubMed]
  26. Walraven, J.E.W.; van der Hel, O.L.; van der Hoeven, J.J.M.; Lemmens, V.E.P.P.; Verhoeven, R.H.A.; Desar, I.M.E. Factors influencing the quality and functioning of oncological multidisciplinary team meetings: Results of a systematic review. BMC Health Serv. Res. 2022, 27, 829. [Google Scholar] [CrossRef]
  27. Walraven, J.E.W.; van der Meulen, R.; van der Hoeven, J.J.M.; Lemmens, V.E.P.P.; Verhoeven, R.H.A.; Hesselink, G.; Desar, I.M.E. Preparing tomorrow’s medical specialists for participating in oncological multidisciplinary team meetings: Perceived barriers, facilitators and training needs. BMC Med. Educ. 2022, 27, 502. [Google Scholar] [CrossRef] [PubMed]
  28. Tran, T.H.; de Boer, J.; Gyorki, D.E.; Krishnasamy, M. Optimising the quality of multidisciplinary team meetings: A narrative review. Cancer Med. 2022, 11, 1965–1971. [Google Scholar] [CrossRef]
  29. Speirs, V. Reflections on the upsurge of virtual cancer conferences during the COVID-19 pandemic. Br. J. Cancer 2020, 123, 698–699. [Google Scholar] [CrossRef]
  30. Ricerca Atti Amministrativi—Regione Emilia-Romagna. Available online: https://servizissiir.regione.emilia-romagna.it/deliberegiunta/servlet/AdapterHTTP?action_name=ACTIONRICERCADELIBERE&operation=leggi&cod_protocollo=GPG/2021/856&ENTE=1 (accessed on 21 November 2022).
  31. Hasson, S.P.; Waissengrin, B.; Shachar, E.; Hodruj, M.; Fayngor, R.; Brezis, M.; Nikolaevski-Berlin, A.; Pelles, S.; Safra, T.; Geva, R.; et al. Rapid implementation of telemedicine during the COVID-19 pandemic: Perspectives and preferences of patients with cancer. Oncologist 2021, 26, e679–e685. [Google Scholar] [CrossRef] [PubMed]
  32. van Huizen, L.S.; Dijkstra, P.U.; van der Werf, S.; Ahaus, K.; Roodenburg, J.L. Benefits and drawbacks of videoconferencing for collaborating multidisciplinary teams in regional oncology networks: A scoping review. BMJ Open 2021, 9, e050139. [Google Scholar] [CrossRef]
  33. Rajasekaran, R.B.; Whitwell, D.; Cosker, T.D.A.; Gibbons, C.L.M.H.; Carr, A. Will virtual multidisciplinary team meetings become the norm for musculoskeletal oncology care following the COVID-19 pandemic?—Experience from a tertiary sarcoma centre. BMC Musculoskelet. Disord. 2021, 5, 18. [Google Scholar] [CrossRef] [PubMed]
  34. Blasi, L.; Bordonaro, R.; Serretta, V.; Piazza, D.; Firenze, A.; Gebbia, V. Virtual clinical and precision medicine tumor boards-cloud-based platform-mediated implementation of multidisciplinary reviews among oncology centers in the COVID-19 era: Protocol for an observational Study. JMIR Res. Protoc. 2021, 10, e26220. [Google Scholar] [CrossRef] [PubMed]
  35. Silsand, L.; Severinsen, G.H.; Berntsen, G. Preservation of person-centered care through videoconferencing for patient follow-up during the COVID-19 pandemic: Case study of a multidisciplinary care team. JMIR Form. Res. 2021, 5, e25220. [Google Scholar] [CrossRef]
  36. Kumari, S.; Mahla, R.S.; Mangone, L.; Giorgi Rossi, P.; Grilli, R.; Pinto, C.; Ferrara, G.; De Vincentiis, L.; Crivelli, F.; Feyles, E.; et al. Lockdown measures negatively impacted cancer care. Am. J. Clin. Pathol. 2021, 155, 615–616. [Google Scholar] [CrossRef]
  37. Microsoft Teams. Available online: https://www.microsoft.com/en-us/microsoft-teams/group-chat-software (accessed on 21 April 2023).
  38. R Core Team. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. 2023. Available online: https://www.R-project.org/ (accessed on 21 April 2023).
  39. Delaney, G.; Jacob, S.; Iedema, R.; Winters, M.; Barton, M. Comparison of face-to-face and videoconferenced multidisciplinary clinical meetings. Australas. Radiol. 2004, 48, 487–492. [Google Scholar] [CrossRef] [PubMed]
  40. Munro, A.J.; Swartzman, S. What is a virtual multidisciplinary team (vMDT)? Br. J. Cancer 2013, 108, 2433–2441. [Google Scholar] [CrossRef] [Green Version]
  41. Davis, C.H.; Ho, J.; Stephenson, R.; August, D.A.; Gee, H.; Weiner, J.; Alexander, H.R.; Pitt, H.A.; Berger, A.C. Virtual tumor board increases provider attendance and case presentations. JCO Oncol. Pract. 2022, 18, e1603–e1610. [Google Scholar] [CrossRef]
  42. Honoré, C.; Mir, O.; Geraud, A.; Drovetti, G.; Garcia, G.C.T.E.; Gustin, P.; Colomba, E.; Pilorge, S.; Matias, M.; Majer, M.; et al. Intercontinental multidisciplinary oncology videoconferencing for rare and complex cancer: An alternative to systematic transfer. JCO Oncol. Pract. 2021, 17, e1311–e1317. [Google Scholar] [CrossRef]
  43. Stevens, G.; Loh, J.; Kolbe, J.; Stevens, W.; Elder, C. Comparison of recommendations for radiotherapy from two contemporaneous thoracic multidisciplinary meeting formats: Co-located and video conference. Intern. Med. J. 2012, 42, 1213–1218. [Google Scholar] [CrossRef]
  44. Amayiri, N.; Swaidan, M.; Abuirmeileh, N.; Al-Hussaini, M.; Tihan, T.; Drake, J.; Musharbash, A.; Qaddoumi, I.; Tabori, U.; Halalsheh, H.; et al. Video-Teleconferencing in pediatric neuro-oncology: Ten years of experience. J. Glob. Oncol. 2018, 4, 1–7. [Google Scholar] [CrossRef]
  45. van Huizen, L.S.; Dijkstra, P.; Halmos, G.B.; van den Hoek, J.G.M.; van der Laan, K.T.; Wijers, O.B.; Ahaus, K.; de Visscher, J.G.A.M.; Roodenburg, J. Does multidisciplinary videoconferencing between a head-and-neck cancer centre and its partner hospital add value to their patient care and decision-making? A mixed-method evaluation. BMJ Open 2019, 7, e028609. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  46. Brandl, A.; Westbrook, S.; Nunn, S.; Arbuthnot-Smith, E.; Mulsow, J.; Youssef, H.; Carr, N.; Tzivanakis, A.; Dayal, S.; Mohamed, F.; et al. Clinical and surgical outcomes of patients with peritoneal mesothelioma discussed at a monthly national multidisciplinary team video-conference meeting. BJS Open 2020, 4, 260–267. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  47. Mohamedbhai, H.; Fernando, S.; Ubhi, H.; Chana, S.; Visavadia, B. Advent of the virtual multidisciplinary team meeting: Do remote meetings work? Br. J. Oral Maxillofac. Surg. 2021, 59, 1248–1252. [Google Scholar] [CrossRef]
  48. Bonanno, N.; Cioni, D.; Caruso, D.; Cyran, C.C.; Dinkel, J.; Fournier, L.; Gourtsoyianni, S.; Hoffmann, R.T.; Laghi, A.; Martincich, L.; et al. Attitudes and perceptions of radiologists towards online (virtual) oncologic multidisciplinary team meetings during the COVID-19 pandemic-a survey of the European Society of Oncologic Imaging (ESOI). Eur. Radiol. 2022, 20, 1194–1204. [Google Scholar] [CrossRef] [PubMed]
  49. Soukup, T.; Winters, D.; Chua, K.C.; Rowland, P.; Moneke, J.; Skolarus, T.A.; Bharathan, R.; Harling, L.; Bali, A.; Asher, V.; et al. Evaluation of changes to work patterns in multidisciplinary cancer team meetings due to the COVID-19 pandemic: A national mixed-method survey study. Cancer Med. 2023, 4, 5608. [Google Scholar] [CrossRef]
  50. Kočo, L.; Siebers, C.C.N.; Schlooz, M.; Meeuwis, C.; Oldenburg, H.S.A.; Prokop, M.; Mann, R.M. Mapping current organizational structure and improvement points of breast cancer multidisciplinary team meetings—An interview study. J. Multidiscip. Healthc. 2022, 21, 2421–2430. [Google Scholar] [CrossRef]
  51. Golinelli, D.; Boetto, E.; Carullo, G.; Nuzzolese, A.G.; Landini, M.P.; Fantini, M.P. Adoption of digital technologies in health care during the COVID-19 pandemic: Systematic review of early scientific literature. J. Med. Internet Res. 2020, 6, e22280. [Google Scholar] [CrossRef]
  52. Sharma, R.K.; Sharma, B. Learning from the adaptations made to cancer care pathways induced by COVID-19. Public Health Pract. 2020, 1, 100047. [Google Scholar] [CrossRef]
  53. Panov, E.D.; Enright, K.A. Virtual tumor board: Benefits, problems, and finding balance in a postpandemic future. JCO Oncol. Pract. 2022, 18, 691–693. [Google Scholar] [CrossRef]
Table 1. MDT performance with regard to the participants endpoint.
Table 1. MDT performance with regard to the participants endpoint.
Care PathwayYearNo. MDT MeetingsTotal No. of Annual AttendanceMeanLower CIUpper CIp Overallp Adjusted vs. 2019
Colorectal cancer20194755811.910.912.9<0.001 *
20205362011.710.812.6 1
20214974715.214.216.4 <0.001 *
20225173214.413.315.4 0.002 *
Neuro-oncology20192930010.39.211.60.094
2020272459.18.010.3
20212628110.89.612.1
20223942811.010.012.0
Liver cancer201916996.25.07.50.001 *
2020191558.26.99.5 0.095
2021232269.88.611.2 <0.001 *
2022221798.17.09.4 0.086
Lymphoma20195059912.011.013.00.035
20204854111.310.312.2 0.911
20215065313.112.114.1 0.381
20224760913.012.014.0 0.519
Breast cancer20195177315.214.116.30.203
20205177815.314.216.4
20215284416.215.217.4
20225285916.515.417.6
Ovarian cancer2019482435.14.55.7<0.001 *
2020472795.95.36.7 0.209
2021513637.16.47.9 <0.001 *
2022503687.46.68.1 <0.001 *
Pancreatic cancer2019463888.47.69.30.067
2020494168.57.79.3
2021514558.98.19.8
2022453337.46.68.2
Lung cancer20195053710.79.911.70.286
20205154010.69.711.5
20215254710.59.711.4
20225260511.610.712.6
Skin cancer20193740310.99.912.0<0.001 *
2020493597.36.68.1 <0.001 *
2021484499.48.510.2 0.080
20224848910.29.311.1 0.961
Thyroid cancer2019221265.74.86.8<0.001 *
2020191367.26.08.4 0.214
20212529411.810.513.2 <0.001 *
20222427311.410.112.8 <0.001 *
*, statistical significance (p < 0.05); CI, confidence interval; MDT, multidisciplinary team; No., number.
Table 2. MDT performance with regard to the endpoint about cases under discussion.
Table 2. MDT performance with regard to the endpoint about cases under discussion.
Care PathwayYearNo. MDT MeetingsTotal No. of Discussed CasesMeanLower CIUpper CIp Overallp Adjusted vs. 2019
Colorectal cancer2019474148.88.09.70.004
2020534268.07.38.8 0.554
20214949710.19.311.1 0.102
2022514358.57.89.4 1
Neuro-oncology2019292568.87.810.0<0.001 *
20202728510.69.411.8 0.114
20212633713.011.614.4 <0.001 *
20223944811.510.512.6 0.002 *
Liver cancer20191619312.110.413.8<0.001 *
2020191889.98.511.4 0.160
2021231607.05.98.1 <0.001 *
2022221647.56.48.7 <0.001 *
Lymphoma2019504559.18.310.00.113
2020484128.67.89.4
2021504689.48.510.2
20224747410.19.211.0
Breast cancer20195197719.218.020.40.311
20205196418.917.720.1
202152104120.018.821.3
202252105720.319.121.6
Ovarian cancer2019481262.62.23.1<0.001 *
2020471954.13.64.8 <0.001 *
2021512464.84.25.5 <0.001 *
2022502835.75.06.3 <0.001 *
Pancreatic cancer2019462164.74.15.3<0.001
2020491913.93.44.5 0.183
2021512845.64.96.2 0.177
2022452485.54.96.2 0.256
Lung cancer20195069413.912.914.90.073
20205162812.311.413.3
20215270813.612.614.6
20225272814.013.015.0
Skin cancer20193743911.910.813.0<0.001 *
2020493998.17.49.0 <0.001 *
2021484519.48.610.3 0.002 *
20224854311.310.412.3 1
Thyroid cancer2019221135.14.26.1<0.001 *
2020191266.65.57.9 0.146
2021251485.95.06.9 0.767
2022242359.88.611.1 <0.001 *
*, statistical significance (p < 0.05); CI, confidence interval; MDT, multidisciplinary team; No., number.
Table 3. MDT performance with regard to meeting duration express as hh: mm, and frequency.
Table 3. MDT performance with regard to meeting duration express as hh: mm, and frequency.
Care PathwayYearNo. MDT MeetingsFrequencyMean Meeting DurationOverall MeanΔ
Colorectal cancer2019471/w01:1001:07−00:08
20205301:10
20214901:07
20225101:02
Neuro-oncology2019292/m01:2401:20−00:25
20202701:29
20212601:31
2022391/w00:59
Liver cancer2019161/m01:2801:09−00:34
20201901:03
2021232/m §01:12
20222200:54
Lymphoma2019501/w01:1501:14−00:04
20204801:14
20215001:11
20224701:16
Breast cancer2019511/w02:0102:16+00:30
20205102:11
20215202:31
20225202:21
Ovarian cancer2019481/w00:3800:44+00:11
20204700:49
20215100:41
20225000:48
Pancreatic cancer2019461/w01:2101:09−00:21
20204901:16
20215101:02
20224501:00
Lung cancer2019501/w02:1101:49−00:39
20205101:53
20215201:32
20225201:41
Skin cancer2019371/wNaNaNa
202049
202148
202248
Thyroid cancer2019222/m01:0901:17+00:31
20201901:12
20212501:09
20222401:40
§, since the last trimester of 2020; m, month; Na, not available; w, week; Δ, difference between meeting duration in 2019 and the longest/shortest meeting in the period 2020–2022.
Table 4. Schematic representation of MDT performance with regard to overall significance (Table 4a) and significance between 2019 and 2020, 2021 and/or 2022 (Table 4b) of study endpoints.
Table 4. Schematic representation of MDT performance with regard to overall significance (Table 4a) and significance between 2019 and 2020, 2021 and/or 2022 (Table 4b) of study endpoints.
(a) Overall Significance of Study Endpoints
Cancer Care PathwayNo. of ParticipantsNo. of Cases
Thyroid cancer
Ovarian cancer
Skin cancer
Liver cancer
Colorectal cancern.s.
Neuro-oncologyn.s.
Lymphoman.s.n.s.
Breast cancern.s.n.s.
Pancreatic cancern.s.n.s.
Lung cancern.s.n.s.
(b) Significance between 2019 and 2020, 2021 and/or 2022 (Table 4b) of Study Endpoints
Cancer Care PathwayNo. of ParticipantsNo. of Cases
2020 vs. 20192021 vs. 20192022 vs. 20192020 vs. 20192021 vs. 20192022 vs. 2019
Thyroid cancern.s.n.s.n.s.
Ovarian cancern.s.
Skin cancern.s.n.s.n.s.
Liver cancern.s.n.s.n.s.
Colorectal cancern.s.n.s.n.s.n.s.
Lymphoman.s.n.s.n.s.n.s.n.s.n.s.
Breast cancern.s.n.s.n.s.n.s.n.s.n.s.
Neuro-oncologyn.s.n.s.n.s.n.s.
Pancreatic cancern.s.n.s.n.s.n.s.n.s.n.s.
Lung cancern.s.n.s.n.s.n.s.n.s.n.s.
↑, Positive change; ↓, Negative change; n.s., not statistically significant change.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Caviola, G.; Daolio, J.; Pellegri, C.; Cigarini, F.; Braglia, L.; Foracchia, M.; Mazzini, E.; Cerullo, L. Learning from Adaptations to the COVID-19 Pandemic: How Teleconsultation Supported Cancer Care Pathways at a Comprehensive Cancer Center in Northern Italy. Cancers 2023, 15, 2486. https://doi.org/10.3390/cancers15092486

AMA Style

Caviola G, Daolio J, Pellegri C, Cigarini F, Braglia L, Foracchia M, Mazzini E, Cerullo L. Learning from Adaptations to the COVID-19 Pandemic: How Teleconsultation Supported Cancer Care Pathways at a Comprehensive Cancer Center in Northern Italy. Cancers. 2023; 15(9):2486. https://doi.org/10.3390/cancers15092486

Chicago/Turabian Style

Caviola, Giada, Jessica Daolio, Carlotta Pellegri, Francesca Cigarini, Luca Braglia, Marco Foracchia, Elisa Mazzini, and Loredana Cerullo. 2023. "Learning from Adaptations to the COVID-19 Pandemic: How Teleconsultation Supported Cancer Care Pathways at a Comprehensive Cancer Center in Northern Italy" Cancers 15, no. 9: 2486. https://doi.org/10.3390/cancers15092486

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop