Improving patient flow and timeliness in the diagnosis and management of breast abnormalities: the impact of a rapid diagnostic unit

Assurance of Timely Access to Breast Cancer Diagnosis and Treatment by a Regional Breast Health Clinic Serving Both Urban and Rural-Remote Communities

In response to breast cancer diagnostic regional wait times exceeding both national and provincial standards and to symptomatic patient referrals for diagnostic mammography taking longer than abnormal screening mammography referrals, the Rae Fawcett Breast Health Clinic (RFBHC) was opened in 2017 in a mid-sized Canadian hospital serving both urban and rural-remote communities. We investigated whether the RFBHC improved wait times to breast cancer diagnosis, improved compliance with national and provincial breast cancer standards, and decreased the wait time disparity associated with referral source. Statistical analyses of wait time differences were conducted between patients who were diagnosed with breast cancer prior to and after the RFBHC establishment. Study group compliance with national and provincial standards and wait time differences by referral source were also analysed. A survey was administered to assess overall patient experience with the RFBHC and clinic wait times. RFBHC patients had a shorter mean wait to breast cancer diagnosis (24.4 vs. 45.7 days, p ≤ 0.001) and a shorter mean wait to initial breast cancer treatment (49.1 vs. 78.9 days, p ≤ 0.001) than pre-RFBHC patients. After the RFBHC establishment, patients who attended the RFBHC had a shorter mean wait time to breast cancer diagnosis (24.4 vs. 36.9 days, p = 0.005) and to initial treatment (49.1 vs. 73.1 days, p ≤ 0.001) than patients who did not attend the clinic. Compliance with national and provincial breast cancer standards improved after the RFBHC establishment and the wait time disparity between screening mammography referrals and symptomatic patient referrals decreased. Survey results indicate that the RFBHC is meeting patient expectations. We concluded that the establishment of a breast health clinic in a Canadian center serving urban and rural-remote communities improved breast diagnostic services.

Diagnostic interval for non-screening patients undergoing mammography during the COVID-19 pandemic

Objective

During the COVID-19 pandemic, there was a temporary cessation of mammography screening. However, in some facilities, diagnostic breast imaging services continued for patients with a high clinical suspicion of breast cancer. The objective of this study was to evaluate changes in the diagnostic interval (DI) of non-screening patients presenting for diagnostic mammography during the first wave of the COVID-19 pandemic.

Methods

Retrospective chart review was performed on patients presenting for non-screening diagnostic mammography from April 1 to June 30, 2020 (pandemic group) and April 1 to June 30, 2019 (pre-pandemic group). Age, reason for referral, number and type of imaging studies/biopsies necessary for a final diagnosis were recorded. Diagnostic interval (DI) was defined as the number of days from the date of the diagnostic mammogram to the date of the final diagnosis.

Results

Compared to the pre-pandemic group (n = 64), the pandemic group (n = 77) showed a reduction in DI of the entire cohort (pandemic: 1 day; pre-pandemic: 15 days, p < 0.0001) for patients not requiring tissue sampling (pandemic: 1 day; pre-pandemic: 11 days, .p < 0.0001) and those requiring tissue sampling with benign pathology (pandemic 9 days; pre-pandemic, 33 days, p = 0.0002). A higher percentage of patients in the pandemic group had their assessment completed during the initial visit (pandemic: 50.6%; pre-pandemic: 23.4%, p = 0.0009).

Conclusion

During the first wave of the COVID-19 pandemic, the DI for patients with non-screening-related diagnostic mammography was significantly shorter, with a higher percentage of patients completing their assessments on the initial visit, compared to one year prior.

Key Points

• Despite reductions in manpower and clinical services, during pandemic times, it is possible to maintain a diagnostic breast imaging service for women at high clinical suspicion for breast cancer.

• During pandemic times, breast imaging departments should consider restructuring to a Rapid Diagnostic Unit model with a navigation team that follows patients through the assessment process to a final diagnosis.

• Departmental restructuring and patient navigation during pandemic times could either maintain or shorten the diagnostic interval for patients presenting for diagnostic mammography.

Timely follow-up of positive cancer screening results: A systematic review and recommendations from the PROSPR Consortium

Timely follow-up for positive cancer screening results remains suboptimal, and the evidence base to inform decisions on optimizing the timeliness of diagnostic testing is unclear. This systematic review evaluated published studies regarding time to follow-up after a positive screening for breast, cervical, colorectal, and lung cancers. The quality of available evidence was very low or low across cancers, with potential attenuated or reversed associations from confounding by indication in most studies. Overall, evidence suggested that the risk for poorer cancer outcomes rises with longer wait times that vary within and across cancer types, which supports performing diagnostic testing as soon as feasible after the positive result, but evidence for specific time targets is limited. Within these limitations, we provide our opinion on cancer-specific recommendations for times to follow-up and how existing guidelines relate to the current evidence. Thresholds set should consider patient worry, potential for loss to follow-up with prolonged wait times, and available resources. Research is needed to better guide the timeliness of diagnostic follow-up, including considerations for patient preferences and existing barriers, while addressing methodological weaknesses. Research is also needed to identify effective interventions for reducing wait times for diagnostic testing, particularly in underserved or low-resource settings. CA Cancer J Clin 2018;68:199-216. © 2018 American Cancer Society.

Regional process redesign of lung cancer care: a learning health system pilot project

Background

The Ottawa Hospital (toh) defined delay to timely lung cancer care as a system design problem. Recognizing the patient need for an integrated journey and the need for dynamic alignment of providers, toh used a learning health system (lhs) vision to redesign regional diagnostic processes. A lhs is driven by feedback utilizing operational and clinical information to drive system optimization and innovation. An essential component of a lhs is a collaborative platform that provides connectivity across silos, organizations, and professions.

Methods

To operationalize a lhs, we developed the Ottawa Health Transformation Model (ohtm) as a consensus approach that addresses process barriers, resistance to change, and conflicting priorities. A regional Community of Practice (cop) was established to engage stakeholders, and a dedicated transformation team supported process improvements and implementation.

Results

The project operationalized the lung cancer diagnostic pathway and optimized patient flow from referral to initiation of treatment. Twelve major processes in referral, review, diagnostics, assessment, triage, and consult were redesigned. The Ottawa Hospital now provides a diagnosis to 80% of referrals within the provincial target of 28 days. The median patient journey from referral to initial treatment decreased by 48% from 92 to 47 days.

Conclusions

The initiative optimized regional integration from referral to initial treatment. Use of a lhs lens enabled the creation of a system that is standardized to best practice and open to ongoing innovation. Continued transformation initiatives across the continuum of care are needed to incorporate best practice and optimize delivery systems for regional populations.

Factors influencing time to seeking medical advice and onset of treatment in women who are diagnosed with breast cancer in Serbia

OBJECTIVE

Streamlining the diagnosis is a key factor in improving the treatment outcomes for breast cancer. The aim of this study was to determine factors influencing time to seeking medical advice and treatment onset in women who are diagnosed with breast cancer in Serbia.

METHODS

The study was a multicenter, cross-sectional national survey, performed at 10 oncology centers in Serbia. Time intervals spent throughout the complex diagnostic pathway were evaluated using a validated questionnaire administered to women with breast cancer (n = 800). Total interval (TI) was determined using predefined time scales, including one referring to patient interval (PI), and several related to health care system interval (SI).

RESULTS

Mean PI, SI, and TI were 4.5, 9.2, and 12.9 weeks, respectively; 20% of patients had a PI>12 weeks. Based on the multivariate regression model, longer PI was associated with perceived lack of time and personal disregard or trivialization of detected symptoms and signs. Women who were supported by family members or friends and had at least a secondary level education tended to have a shorter PI. Longer PI was correlated with a longer SI, while regular self-examination, having been diagnosed by an oncologist, and living in a major city were associated with shorter SI.

CONCLUSIONS

Several factors, related to psychological, demographic, behavioral, and health system characteristics, determined both the time to seeking medical advice and treatment onset for breast cancer. These findings support review and refining of national strategies and policies to promote early detection, diagnosis, and treatment of breast cancer.

Budget impact analysis of a breast rapid diagnostic unit

BACKGROUND

The Odette Cancer Centre's recent implementation of a rapid diagnostic unit (rdu) for breast lesions has significantly decreased wait times to diagnosis. However, the economic impact of the unit remains unknown. This project defined the development and implementation costs and the operational costs of a breast rdu in a tertiary care facility.

METHODS

From an institutional perspective, a budget impact analysis identified the direct costs associated with the breast rdu. A base-case model was also used to calculate the cost per patient to achieve a diagnosis. Sensitivity analyses computed costs based on variations in key components. Costs are adjusted to 2015 valuations using health care-specific consumer price indices and are reported in Canadian dollars.

RESULTS

Initiation cost for the rdu was $366,243. The annual operational cost for support staff was $111,803. The average per-patient clinical cost for achieving a diagnosis was $770. Sensitivity analyses revealed that, if running at maximal institutional capacity, the total annual clinical cost for achieving a diagnosis could range between $136,080 and $702,675.

CONCLUSIONS

Establishment and maintenance of a breast rdu requires significant investment to achieve reductions in time to diagnosis. Expenditures ought to be interpreted in the context of institutional patient volumes and trade-offs in patient-centred outcomes, including lessened patient anxiety and possibly shorter times to definitive treatment. Our study can be used as a resource-planning tool for future rdus in health care systems wishing to improve diagnostic efficiency.