A Daily Diagnostic Multidisciplinary Meeting to Reduce Time to Definitive Diagnosis in the Context of Primary Bone and Soft Tissue Sarcoma.

BACKGROUND AND OBJECTIVES: Cancer services are under increasing pressure to deliver waiting time targets. Our service has seen referral numbers increase to over 3000 per annum, with more than 80% coming from secondary care. In order to deliver a responsive service, the department has introduced a daily diagnostic multidisciplinary meeting (DMDT) with the aim being stratification of resources by directing rapid access to clinics and diagnostics to those felt to be at greatest risk of malignancy at the start of the pathway. It also aimed to improve communication with patients and referrers, consistency in decision making and deliver improved diagnostic turn-around times in a sustainable manner. An evaluation was undertaken to assess whether the introduction of the DMDT has improved the pathway, the primary endpoint being a reduction in time to definitive diagnosis (TTDD). Secondary endpoints included measurements of efficiency and whether there has been a reduction in variation in practice.
METHODS: Retrospective access to a prospective database over a 1-month period before (2015) and after (2018) the intervention.
RESULTS: The introduction of the DMDT has led to a reduction in TTDD (7 days). The service also has an added benefit in reducing average total patient miles travelled over the course of diagnosis by 22.68 miles.
CONCLUSION: The introduction of a diagnostic MDT at the start of the pathway does lead to an improvement in service efficiency and a reduction in TTDD.

Synopsis

An evaluation of our daily diagnostic multidisciplinary team meeting focusing on the improvement made to our diagnostic pathway and the overall impact on time to definitive diagnosis in the context of primary soft tissue and bone sarcoma.

Introduction

Multidisciplinary team (MDT) working has been the gold standard for care in all specialties since its introduction in the late 1990s. Before MDT meetings existed, there were large variations in clinical practice and the quality of reporting for radiological investigations and pathological specimens was poor.1 The Calman-Hine report2 was commissioned by the Government in the hope that regular MDT meetings would enhance the practice of evidence-based medicine and personalise care whilst preventing individuals from treating patients outside of accepted standards. It also aimed to help reduce waiting times and improve the quality of care for patients with cancer; adhering to the age-old principle that many hands make light work.1,3 Over the last 20 years, the cancer landscape has altered dramatically due to the increasing complexity of cases, ageing population and the increasing range of treatment options available. Subsequently, cancer services in the UK are under heightened pressure to deliver on waiting times. For clinicians, increased demand often means less time spent per case, especially where centres are involved in diagnostic services. This poses a substantial patient safety and quality risk and has called into question the value of the MDT meeting.4

Despite the widespread adoption of the MDT approach, the Cancer Waiting Times Annual Report published by NHS England highlights that services in the UK are continually falling short of the expected 85% standard when delivering on 62-day referral to treatment waiting times for all cancers, achieving a maximum of 82.4% since 2015.5–7 A recent analysis carried out by the British Medical Association suggested that waiting times have deteriorated since the publication of the Annual Report stating that between January and February of 2019 almost a quarter of patients have had to wait more than 2 months for their first treatment after an urgent referral from their GP – only 76.2% had their first treatment within the 62-day target, the worst performance against the set standard since it was introduced.8 Furthermore, cancer waiting times for diagnosis are set to decrease to 28 days as of April 2020, placing even more pressure on already stretched diagnostic services and making it even more important that our services are streamlined and efficient.

Several recent papers have highlighted that although MDT meetings are now an integral part of mainstream cancer pathways and adherence to their use is high, they are costly and do not function as effectively as they should.2,9,10 The issues of cost and efficiency are highly relevant in the UK’s financially challenged, resource scarce climate today. De Iso et al identified a need to improve the efficiency both in terms of cost and time spent on MDT meetings without compromising, or worse, losing the considerable benefits of regular meetings.9 It has been suggested that a large proportion of cases reaching MDT meetings today do not require this level of discussion and time better used on more complex cases is wasted.2,9–12 This is corroborated by a study from Cancer Research UK, which highlighted that 75% MDT members agreed that some patients could be reviewed outside the MDT to enable more time for discussion of complex cases.11,13 Munro (2015) highlights that an average MDT will review between 15 and 30 patients per week, often repeating cases as more information and advice becomes available without progressing management in a meaningful way. Furthermore, the paper suggests that the MDT process consumes a disproportionate amount of the resources available for the care of patients with cancer.2

In light of these findings, the Cancer Transformation Board and the Department of Health carried out a project that aimed to reform MDT meetings to make them more effective in response to the increased demand. The project identified the need for a number of changes, including streamlining the current MDTs to make them more efficient and the need to return ownership and responsibility to individuals by giving them permission to make shared decisions with select patients without necessarily seeking approval from the MDT.14,15 Recommendation 38 from the Independent Cancer Taskforce Report agreed that the need to focus specialist time in MDT meetings on cases which do not follow established clinical pathways is a priority.15

Primary soft tissue and bone sarcomas are rare mesenchymal tumours which can arise almost anywhere in the body. On average, a general practitioner may only see one case of primary sarcoma in the entirety of their career. Their relative rarity and inherent heterogeneity make it difficult to develop steadfast guidelines for their diagnosis and management. Currently, the diagnosis and management of primary sarcomas is guided by advice published by the British Sarcoma Group.16–18 The key recommendation from the guidelines states that any patient with red flag symptoms should receive urgent imaging appropriate to the suspected pathology (plain radiograph for bone, ultrasound for soft tissue) and if this was inconclusive or suggestive of malignancy, should be referred to and reviewed by a specialist sarcoma MDT for further assessment.16–18 In a review of national figures, the bone sarcoma incidence rate has remained stable between 1985 and 2009; however, the incidence rates of soft tissue sarcoma have risen by 26% between 1990 and 2007.19,20 At our institute, we have been running a weekly sarcoma MDT (WMDT) since 1993. The mean and maximum number of cases discussed at a single WMDT in 1993 were 15 and 31, respectively. In 2016, the mean and maximum number of cases reached 78 and 110, respectively, representing an overall increase of 420% and 255% since 1993.21 Our department, as a leading centre for orthopaedic oncology worldwide, now receives over 3000 referrals per annum, with more than 80% of referrals coming from secondary care.

It was identified that this increase in WMDT discussions was unsustainable, from both a work force and a decision-making perspective. A review of our processes showed opportunities to reduce waste, waiting times and variation in clinical practice as well as improve safety by changing the model of referral ownership. It further highlighted opportunities to focus resources by case stratification, improve patient experience and at least meet, if not exceed the national target of 28 days for cancer diagnosis.

In order to deliver a responsive service, the department introduced a daily diagnostic MDT meeting (DMDT) in 2017 alongside its weekly sarcoma MDT (WMDT). The DMDT employs a true multidisciplinary approach, much in the same way as the WMDT, involving a consultant orthopaedic oncology surgeon, specialist consultant radiologist, clinical nurse specialist and an MDT coordinator as a minimum. It takes place daily (except for weekends) and is employed as a means of triaging the new referrals. All the findings, diagnostic decisions, and recommendations from the DMDT are directly entered into the patient’s records held within a prospective oncology database in real time. The cases are triaged into malignancy likely, malignancy possible, malignancy unlikely and malignancy excluded. This is in stark contrast to the review of referrals employed before the introduction of the DMDT, in which paper referrals were read by a single surgeon without direct input from a radiologist (Figures 1 and 2).

Figure 1

A depiction of the referral process in 2015 before the introduction of the DMDT; illustrating the steps taken to appropriately triage the referral before making the first management decision.

Figure 2

A depiction of the referral process in 2018 after the introduction of the DMDT; illustrating the steps taken to appropriately triage the referral and make a first management decision.

The objectives of the DMDT were to improve the pathway for our patients by stratifying resources and directing rapid access to diagnostics to those felt to be at greatest risk of malignancy at the start of the pathway. It also aimed to improve communication between clinicians and patients, to reduce the number of non-sarcoma cases discussed at the WMDT21 (thereby increasing cognitive bandwidth and time for discussion of complex cases) and to deliver clinical excellence in a patient centred, compassionate manner. Lastly, it aimed to provide consistency in decision making and deliver improved diagnostic turnaround times in a sustainable manner.

Aims

The aim of this evaluation is to assess whether the DMDT has improved the patient pathway, with the primary endpoints being a reduction in time to first management decision and a reduction in time to definitive diagnosis (TTDD). Secondary endpoints included measurements of the accuracy of the DMDT initial triage diagnosis compared to the definitive diagnosis on histology and the ability of the DMDT to discharge patients without the need for the patient to travel to our centre.

Patients and Methods

All patients referred for a suspected bone or soft tissue malignancy were identified by interrogating our prospectively maintained database. The search was conducted to include two time periods; the 1st to the 31st of January in both 2015 – before the introduction of the DMDT, and 2018 – after the introduction of the DMDT. Demographic data (Table 1) were collected along with time to triage the referral, time to a first management decision and provisional and final histological diagnosis (if a biopsy was performed) to determine overall accuracy of the DMDT triage.

Table 1

Demographic Data for the 2015 and 2018 Cohorts

	2015, N = 101	2018, N = 135
Age	95 Adults(94%) 6 Children(6%)	116 Adults(86%) 19 Children(14%)
Gender	47 Females(46%) 54 Males(54%)	67 Females(50%) 68 Males(50%)
Type of Referral	34 2WW(34%) 63 Routine(62%) 4 Urgent(4%)	29 2WW(21%) 100 Routine(74%) 6 Urgent(4%)
Referrer	69 Other Hospital Consultant(68%)32 GP(32%)	112 Other Hospital Consultant(83%)22 GP(16%)1 Allied Healthcare Professional(1%)
Pathway Used	29 Suspected Primary Bone Sarcoma(29%)	33 Suspected Primary Bone Sarcoma(24%)
	46 Suspected Primary Soft Tissue Sarcoma(46%)	53 Suspected Primary Soft Tissue Sarcoma(40%)
	26 Other Bone Pathology(25%)	49 Other Bone Pathology(36%)
Definitive Diagnosis	4 Primary Bone Sarcoma(4%)	3 Primary Bone Sarcoma(2%)
	12 Primary Soft Tissue Sarcoma(12%)	11 Primary Soft Tissue Sarcoma(8%)
	3 Haematological Malignancy(3%)	6 Haematological Malignancy(4%)
	5 Metastatic Pathology(5%)	21 Metastatic Pathology(16%)
	77 Benign (bone and soft tissue) Pathology(76%)	94 Benign (bone and soft tissue) Pathology(69%)

Patients with a previous sarcoma diagnosis, cases designated “opinion only”, patients who withdrew from the diagnostic pathway for any reason, patients without data on the systems, patients deceased before formal diagnosis, patients related to the researchers and private patients were excluded from the study to give a cohort whose data reflected the whole diagnostic pathway within the public healthcare system.

101 consecutive patients met the inclusion criteria and were selected for the 2015 cohort and 135 consecutive patients were selected for the 2018 cohort. For both cohorts, the following data was collected.

Date the referral was received and registered on our system

Date the referral was triaged/seen at DMDT

The provisional diagnosis ascribed at DMDT/triage

Date the first management decision was made and what the decision was

Date the definitive diagnosis was made

For both cohorts, the total number of days and the number of working days between dates were calculated using online date counting software.

A Fisher’s exact test was used to assess statistical significance of a 2x2 contingency table in the analysis of the primary endpoint. A p value was calculated with two tails. An alpha value of 0.05 was considered statistically significant.

The service evaluation project on which this study was based was carried out with approval from our Clinical Audit and Effectiveness Team at our centre. Individual patient consent to access their medical records for the purpose of service evaluation was not required. The data were anonymised to maintain confidentiality and held securely in compliance with the Declaration of Helsinki.

Results

Primary Endpoints

Time to Triage/DMDT and First Management Decision

In 2015, on average, it took 2 total days for a referral to be triaged (median 1 day, range 1–22 days) and 11 total days to make a first management decision (median 8 days, range 1–124 days). In 2018, it took 3 total days to be seen at DMDT (median 3 days, range 1–22 days, an increase of 1 day p>0.05) and an average of 5 total days to make a first management decision (median 3 days, range 1–109 days, a reduction of 6 total days p>0.05).

No change in working time to triage was observed between 2015 and 2018. A reduction of 5 working days was observed in time to first management decision (median 2 days, range 1–76 days).

Time to Definitive Diagnosis

It took longer on average to diagnose the 2015 cohort than it did the 2018 cohort in terms of both total and working days.

Total Days to Definitive Diagnosis (TTDD)

For all cases in 2015, the mean TTDD was 41 days (median 29 days, range 1–158 days). For all cases in 2018, the mean TTDD was 34 days (median 28 days, range 2–152 days), a reduction of 7 days with the introduction of the DMDT (p>0.05).

Working Days to Definitive Diagnosis (WTTD)

For all cases in 2015, the mean WTTD was 29 days (median 21 days, range 1–109 days). For all cases in 2018, the mean WTTD was 24 days (median 21 days, range 2–105 days), a reduction of 5 days with the introduction of the DMDT (p>0.05).

Secondary Endpoints

Provisional Diagnosis at Triage/DMDT

No provisional diagnosis data were available for the 2015 cohort as the single surgeon review of the referrals was not triaged into the categories used at the DMDT i.e malignancy excluded, malignancy likely, malignancy possible and malignancy unlikely. For the 2018 cohort, provisional diagnosis was split into these four categories. Thirty cases were assigned “malignancy likely”, 34 cases were subscribed “malignancy possible”, 27 cases were assigned “malignancy unlikely” and 44 cases had malignancy excluded based on history and imaging alone. Further information regarding the provisional diagnosis can be found in Table 2.

Table 2

Provisional Diagnosis at DMDT Data (2018)

Group	Sub-Group	Number of Cases
Malignancy Likely (N = 30)	Sarcoma Malignancy (Bone/STS)	15
	Non-Sarcoma Malignancy (Metastatic Disease/Pathological Fracture)	15
Malignancy Possible (N = 34)	Sarcoma Malignancy (Bone/STS)	32
	Non-Sarcoma Malignancy (Metastatic Disease/Pathological Fracture)	2
Malignancy Unlikely (N = 27)
Malignancy Excluded (N = 44)

Four of the cases in the “malignancy likely” group were proven benign after biopsy, 8 were proven to be malignant and 18 were proven to be metastatic. Of the “malignancy possible” group, 4 were metastatic disease, 19 were benign and 11 were found to be malignant. Of the “malignancy unlikely” group, all 27 were found to be benign.

Measurement of Accuracy of Triage/DMDT

No provisional diagnoses were assigned in 2015 therefore we were unable to measure the accuracy of the single surgeon triage. Sensitivity of the DMDT was found to be 100% (95% CI 91.4% - 100%). Specificity was found to be 54% (95% CI 36.44% - 57.39%). Fifty cases ascribed a more sinister provisional diagnosis were downgraded to benign pathologies after biopsy. No cases ascribed a malignancy excluded provisional diagnosis were subsequently found to be malignant.

Outcomes of the First Management Decision

The outcomes of the first management decisions made in 2015 and 2018 are detailed in Tables 3 and 4 respectively. “Surgery” denotes excision of the lesion in theatre. “Clinic” denotes seen in a specialist orthopaedic oncology clinic by a consultant or registrar. “Biopsy” denotes the procurement of a tissue sample by accepted means (CT or USS guided) without complete excision.

Table 3

Outcomes of First Management Decision (2015)

Clinic Only	18%	Clinic + Scan + Biopsy	1%
Biopsy Only	21%	Scan + Biopsy	10%
Scan Only	7%	Discharge	18%
Clinic + Scan	16%	Palliative	0%
Clinic + Biopsy	6%	Surgery	4%

Table 4

Outcomes of First Management Decision (2018)

Clinic Only	13%	Clinic + Scan + Biopsy	11%
Biopsy Only	3%	Scan + Biopsy	1.5%
Scan Only	1.5%	Discharge	24%
Clinic + Scan	19%	Palliative	1.5%
Clinic + Biopsy	24%	Surgery	1.5%

Impact on Distance Travelled

The accuracy of the DMDT means that in 2018, 24% of patients are discharged at the point of triage removing the need to travel to our centre. Patients travelled on average a total of 172.94 miles over the course of their diagnosis in 2015 (median 80 miles, range 1–368 miles). With the introduction of the DMDT patients travelled on average a total of 150.26 miles over the course of their diagnosis (median 68 miles, range 1–489 miles). This represents a reduction in patient miles travelled of 22.68 miles (p<0.05).

Discussion

Statement of Principle Findings

Our study has shown that the introduction of the DMDT has reduced our time to make a first management decision by 6 total days and our time to definitive diagnosis by 7 total days.

As a result of the introduction of the DMDT, 24% of patients were discharged from our service without having to travel to our centre (Table 4), saving an average of 22.68 miles over the course of their diagnosis (p<0.05) despite our catchment area expanding. The sensitivity and specificity of the DMDT further corroborate the accuracy of the triaging system. We have not seen any of the 24% of discharged patients (all with benign diagnoses) re-referred for further management or with a deteriorating clinical picture necessitating a change in diagnosis to a more sinister pathology.

We have also demonstrated an increase in the scheduling of multiple diagnostic techniques at the point of triage as a result of the introduction of the DMDT (11% in 2018 compared to 1% in 2015) with a subsequent reduction in the scheduling of each of the single diagnostic services (biopsy only 21% in 2015–3% in 2018, clinic only 18% in 2015–13% in 2018 and scan only 7% in 2015–1.5% in 2018) highlighting our “one-stop shop” approach and hence, the increased efficiency of our service. We anticipate a further improvement in efficiency as the system matures. Further studies are ongoing to identify subsequent inefficiencies in the pathway which prevent us from reaching the national diagnostic target of 28 days.

Relevance to Clinical Practice

Subjectively, for the patient, nothing is more important than receiving a diagnosis and initiating management in an expedient and stress-free manner,22–27 especially in the context of cancer. The new Cancer Waiting Time Targets reflect this – the drive to diagnose patients and initiate treatment within 28 days puts added pressure on already overworked diagnostic centres but is inherently patient centred. Awaiting diagnosis and treatment has been cited as one of the most stressful experiences for patients in today’s NHS, regardless of the nature of the potential diagnosis.27–30 The reduction in TTDD of 7 total days suggests that the use of a DMDT may be a reproducible way of reducing diagnostic turnaround times, helping us to meet the nationally mandated waiting time targets and reduce patient anxiety. Additionally, financial compensation for meeting targets incentivises services to accelerate diagnosis and treatment initiation. The financial implications of implementing such a service are outside the scope of this study and further research is needed.

We have not directly looked at the psychological impact of our DMDT on our patients beyond informal interviews where patients and carers have reported a high level of satisfaction with the service. However, we anticipate that it has had a positive effect. The DMDT affords us the ability to give patients an almost immediate provisional diagnosis and management plan as well as provide psychosocial support from Clinical Nurse Specialists. Furthermore, feedback to referring clinicians is delivered on the same day as the DMDT and our protocols dictate that routine referrals triaged as “malignancy likely” are upgraded onto a cancer pathway thereby further ensuring prompt progression along the clinical pathway, minimizing delays.

Aside from the psychological impact, we know from studies done in cancer settings in general that rapid diagnosis and treatment also has an impact on the clinical outcome.20,22,28,29 Rarer cancers tend to be more advanced at presentation to diagnostic services and as such have poorer outcomes.31 Management of advanced cancers has also been shown to be more complex than those presenting early.28,29 Similarly, the overall mortality and morbidity of more advanced cancers has been shown to be higher.22,32 It, therefore, follows that the sooner the diagnosis is made, in our case – 7 days earlier, the sooner treatment can be initiated and the better the potential outcome for the patient; however, we currently have no data to support this.

Despite incentives for meeting nationally imposed targets, our NHS is perpetually financially limited. Therefore, it is important that we use our limited resources in an efficient manner, directing them to those most in need. Our study has shown that nearly a quarter of patients are discharged from our service without the need to travel to our centre (Table 4). The “one-stop shop” approach to diagnostics (first proposed in Chang et al in 199824) means faster access to clinic appointments, biopsies and scans for those felt to be at greatest risk at the start of the pathway. Additionally, it means unacceptable delay imposed by employing single diagnostic services in a sequential manner is mitigated. Furthermore, although not directly studied in this paper, the DMDT can improve the efficiency of the weekly sarcoma MDT as cases have been stream-lined prior to being added to the discussion list, meaning greater cognitive bandwidth is available to discuss more complex patients.

Limitations

Our study was conducted in a high volume, tertiary centre for bone and soft tissue sarcoma. As a result, the population studied is niche and small meaning wider generalisability could be lost. Bone and soft tissue sarcomas are inherently rare conditions which, for the majority of clinicians, may never be encountered in everyday practice. There are 5 centres in England that provide diagnostic services for suspected bone sarcoma – we believe our data are demographically similar to that of the wider sarcoma population and could be extrapolated and applied to their populations despite the small sample size. One could argue that this methodology is also well suited to other image-based diagnostic conditions, eg, neurological, liver and lung cancers and since the number of referrals for these cancers is greater than that of sarcoma, the impact of frequent diagnostic MDTs (outside of formal cancer MDTs) may be larger.

Efforts have been made to reduce selection bias by selecting the same time period (January) for both cohorts. This was to mitigate the impact the time of year may have had on the number of cases triaged at our centre. Provider availability in 2015 may also have affected our results - in particular, time to first management decision. Our analysis could be strengthened by selecting two cohorts from different months to mitigate this. However, as we now provide an adequately staffed year-round service, we anticipate that this would have little impact on the findings.

Lastly, this study has not assessed the psychological impact and clinical outcomes of these patients; however, we anticipate that a faster triage process and an earlier diagnosis following the introduction of the DMDT has had a positive impact on these outcomes. Further studies are required to assess the impact of earlier diagnosis on long-term outcomes.

Conclusion

This pioneering measure of introducing a DMDT has multiple benefits. The daily diagnostic MDT has reduced our overall time to definitive diagnosis. The DMDT ensures all new referrals receive a prompt, consistent opinion, which can be fed back directly to the patients and referring clinicians. In particular, 24% of patients were discharged without the need for them to travel to our department. As the April 2020 deadline for the introduction of the new cancer waiting times target comes into force, the ability to risk stratify and direct resources appropriately becomes ever more important. The implementation of this DMDT model requires the engagement and collaboration of the whole MDT and wider hospital management in order to achieve and embed these benefits. However, we propose that our DMDT is a reproducible model that can be employed in other cancer services involved in both the diagnosis and treatment of patients with the aim of reducing time to definitive diagnosis, directing resources, and improving the patient pathway.