Factors associated with the melanoma diagnostic interval in Ontario, Canada: a population-based study.

BACKGROUND: Protracted times to diagnosis of cancer can lead to increased patient anxiety, and in some cases, disease progression and worse outcomes. This study assessed the time to diagnosis for melanoma, and its variability, according to patient-, disease-, and system-level factors. METHODS: This is a descriptive, cross-sectional study in Ontario, Canada from 2007-2019. We used administrative health data to measure the diagnostic interval (DI)-and its two subintervals-the primary care subinterval (PCI) and specialist care subinterval (SCI). Multivariable quantile regression was used. RESULTS: There were 33,371 melanoma patients. The median DI was 36 days (interquartile range [IQR]: 8-85 days), median PCI 22 days (IQR: 6-54 days), and median SCI 6 days (IQR: 1-42 days). Increasing comorbidity was associated with increasing DI. Residents in the most deprived neighbourhoods and those in rural areas experienced shorter DIs and PCIs, but no differences in SCI. There was substantial variation in the DI and SCI across health regions, but limited differences in the PCI. Finally, patients with a history of non-melanoma skin cancer, and those previously established with a dermatologist experienced significantly longer DI, PCI, and SCI. DISCUSSION: This study found variability in the melanoma DI, notably by system-level factors.

Development of an evidence-informed recommendation guide to facilitate physical activity counseling between oncology care providers and patients in Canada.

Decision support aids help reduce decision conflict and are reported as acceptable by patients. Currently, an aid from the American College of Sports Medicine exists to help oncology care providers advise, assess, and refer patients to physical activity (PA). However, some limitations include the lack of specific resources and programs for referral, detailed PA, and physical function assessments and not being designed following an international gold standard (Appraisal of Guidelines for Research and Evaluation [AGREE] II). This study aimed to develop a recommendation guide to facilitate PA counseling by assessing the risk for PA-related adverse events and offering a referral to an appropriate recommendation. Recommendation guide development followed AGREE II, and an AGREE methodologist was consulted. Specifically, a stakeholder group of oncology care providers and cancer survivors were engaged to develop the assessment criteria for comorbidities, PA levels, and physical function. Assessment criteria were developed from published PA interventions, consultations with content experts, and targeted web-based searches for cancer-specific PA programs. Feedback on the recommendation guide was solicited from stakeholders and external reviewers with relevant knowledge and clinical experience. Independent AGREE methodologists appraised the development process. The recommendation guide is a five-page document, including a preamble, assessment criteria for absolute contraindications to PA, comorbidities, and PA/functional capacity with a list of appropriate resources. Independent AGREE methodologists rated the development process as strong and recommended the guide for use. The recommendation guide has the potential to facilitate PA counseling between oncology care providers and cancer survivors, thus, potentially impacting PA behavior.

Following a cancer diagnosis, exercise has important health benefits for cancer survivors. Sadly, most cancer survivors do not exercise at levels to gain these important benefits. Oncology care providers, such as oncologists, nurses, and allied health professionals, play an important role in health behaviors of their cancer survivor patients. We thought that they would be the best individuals to promote exercise. However, oncology care providers face barriers for discussing exercise with their patients. For example, they may not be aware of the current science, experience low confidence when discussing exercise, or not be aware of the types of available resources. We developed a short guide with the goal of assisting oncology care providers while discussing exercise with cancer survivors. The guide was developed with research scientists, oncology care providers, and cancer survivors. We followed the strict process outlined by an international guideline development protocol and included relevant science, and the guide was evaluated by experts. The guide helps the oncology care provider to find an appropriate exercise resource for the cancer survivor, such as a class, informational booklet, or website. Our next steps are to test the guide in clinics to determine whether it works for both oncology care providers and cancer survivors.

Determining the Cancer Diagnostic Interval Using Administrative Health Care Data in a Breast Cancer Cohort.

PURPOSE: Population-based administrative health care data could be a valuable resource with which to study the cancer diagnostic interval. The objective of the current study was to determine the first encounter in the diagnostic interval and compute that interval in a cohort of patients with breast cancer using an empirical approach. METHODS: This is a retrospective cohort study of patients with breast cancer diagnosed in Ontario, Canada, between 2007 and 2015. We used cancer registry, physician claims, hospital discharge, and emergency department visit data to identify and categorize cancer-related encounters that were more common in the three months before diagnosis. We used statistical control charts to define lookback periods for each encounter category. We identified the earliest cancer-related encounter that marked the start of the diagnostic interval. The end of the interval was the cancer diagnosis date. RESULTS: The final cohort included 69,717 patients with breast cancer. We identified an initial encounter in 97.8% of patients. Median diagnostic interval was 36 days (interquartile range [IQR], 19 to 71 days). Median interval decreased with increasing stage at diagnosis and varied across initial encounter categories, from 9 days (IQR, 1 to 35 days) for encounters with other cancer as the diagnosis to 231 days (IQR 77 to 311 days) for encounters with cyst aspiration or drainage as the procedure. CONCLUSION: Diagnostic interval research can inform early detection guidelines and assess the success of diagnostic assessment programs. Use of administrative data for this purpose is a powerful tool for improving diagnostic processes at the population level.

Breast cancer detection method, diagnostic interval and use of specialized diagnostic assessment units across Ontario, Canada. / Cancer du sein : méthode de détection, intervalle diagnostique et recours aux unités d'évaluation diagnostique spécialisées en Ontario (Canada).

INTRODUCTION: Breast cancer is detected through screening or through signs and symptoms. In Canada, mammograms for breast cancer screening are offered in organized programs or independently (opportunistic screening). Province of Ontario breast Diagnostic Assessment Units (DAUs) are facility-based programs that provide coordinated breast cancer diagnostic services, as opposed to usual care, in which the primary care provider arranges the tests and consultations. This study describes breast cancer detection method, diagnostic interval and DAU use across Ontario. METHODS: The study cohort consisted of 6898 women with invasive breast cancer diagnosed in 2011. We used the Ontario Cancer Registry linked to administrative health care databases. We determined the detection method using the Ontario Breast Screening Program (OBSP) data and physician claims. The diagnostic interval was the time between the initial screen, specialist referral or first diagnostic test and the cancer diagnosis. The diagnostic route (whether through DAU or usual care) was determined based on the OBSP records and biopsy or surgery location. We mapped the diagnostic interval and DAU coverage geographically by women's residence. RESULTS: In 2011, 36% of Ontario breast cancer patients were screen-detected, with a 48% rate among those aged 50 to 69. The provincial median diagnostic interval was 32 days, with county medians ranging from 15 to 65 days. Provincially, 48.4% were diagnosed at a DAU, and this ranged from zero to 100% across counties. CONCLUSION: The screening detection rate in age-eligible breast cancer patients was lower than published population-wide screening rates. Geographic mapping of the diagnostic interval and DAU use reveals regional variations in cancer diagnostic care that need to be addressed.

INTRODUCTION: Le cancer du sein est détecté soit par un examen de dépistage, soit à l'aide de signes et symptômes. Au Canada, les mammographies pour le dépistage du cancer du sein sont offertes dans le cadre de programmes organisés ainsi qu'en contexte indépendant (dépistage opportuniste). Les unités d'évaluation diagnostique (UED) de la province de l'Ontario sont des programmes en établissement qui fournissent des services diagnostiques coordonnés pour le cancer du sein, à la différence des soins habituels où le fournisseur de soins de première ligne organise les examens et les consultations. Cette étude décrit les méthodes de détection, l'intervalle diagnostique et l'utilisation des UED pour le cancer du sein en Ontario. MÉTHODOLOGIE: L'étude a porté sur une cohorte de 6 898 femmes ayant reçu un diagnostic de cancer du sein envahissant en 2011. Nous avons utilisé le Registre d'inscription des cas de cancer de l'Ontario jumelé à des bases de données administratives sur les soins de santé. Nous avons déterminé la méthode de détection à l'aide des données du Programme ontarien de dépistage du cancer du sein (PODCS) et des demandes de règlement des médecins. L'intervalle diagnostique a été défini comme le temps écoulé entre le dépistage initial, l'aiguillage vers un spécialiste ou la première épreuve diagnostique et le diagnostic de cancer lui-même. Le parcours diagnostique (qu'il passe par les UED ou les soins habituels) a été déterminé en fonction des dossiers du PODCS et du lieu de biopsie ou d'intervention chirurgicale. Nous avons cartographié l'intervalle diagnostique et de la couverture des UED en fonction du lieu de résidence des femmes. RÉSULTATS: En 2011, 36 % des cas de cancer du sein en Ontario ont été détectés par dépistage, dont 48 % chez des femmes de 50 à 69 ans. L'intervalle diagnostique provincial médian était de 32 jours, les médianes par comté variant entre 15 et 65 jours. À l'échelle provinciale, 48,4 % des cas ont été diagnostiqués dans une UED, ce pourcentage variant entre 0 et 100 % selon les comtés. CONCLUSION: Le taux de détection au dépistage correspondant aux patientes admissibles du fait de leur âge s'est révélé inférieur au taux de dépistage officiel du cancer du sein pour l'ensemble de la population. La répartition géographique de l'intervalle diagnostique et du recours aux UED révèle des variations régionales dans les soins diagnostiques en oncologie qu'il est nécessaire de corriger.

Is being diagnosed at a dedicated breast assessment unit associated with a reduction in the time to diagnosis for symptomatic breast cancer patients?

The length of the cancer diagnostic interval can affect a patient's survival and psychosocial well-being. Ontario Diagnostic Assessment Units (DAUs) were designed to expedite the diagnostic process through coordinated care. We examined the effect of DAUs on the diagnostic interval among female patients with symptomatic breast cancer in Ontario using the Ontario Cancer Registry linked to administrative healthcare data. The diagnostic interval was defined as the time from patients' first referral or test to the cancer diagnosis. DAU use was determined based on the hospital where the breast biopsy/surgery was performed. Multivariable quantile regression and logistic regression analyses adjusted for possible confounders. Forty-seven per cent of patients were diagnosed in a DAU and 53% in usual care (UC). DAUs achieved the Canadian timeliness targets more often than UC (71.7% vs. 58.1%, respectively). DAU use was associated with a 10-day (95% CI: 7.8-11.9) reduction in the median diagnostic interval. This effect increased to 19 days for patients at the 75th percentile and 22 days for those at the 90th percentile of the diagnostic interval distribution. Use of an Ontario DAU is associated with a shorter time to diagnosis in patients with symptomatic breast cancer, especially for those who would otherwise wait the longest.

Are primary care providers implementing evidence-based care for breast cancer survivors?

OBJECTIVE: To describe the implementation of key best practice guideline recommendations for posttreatment breast cancer survivorship care by primary care providers (PCPs). DESIGN: Descriptive cross-sectional survey. SETTING: Southeastern Ontario. PARTICIPANTS: Eighty-two PCPs: 62 family physicians (FPs) and 20 primary health care nurse practitioners (PHCNPs). MAIN OUTCOME MEASURES: Twenty-one "need-to-know" breast cancer survivorship care guideline recommendations rated by participants as "implemented routinely," "aware of guideline recommendation but not implemented routinely," or "not aware of guideline recommendation." RESULTS: Overall, FPs and PHCNPs in our sample reported similar practice patterns in terms of implementation of breast cancer survivorship guideline recommendations. The PCPs reported routinely implementing approximately half (46.4%, 9.7 of 21) of the key guideline recommendations with breast cancer survivors in their practices. Implementation rates were higher for recommendations related to prevention and surveillance aspects of survivorship care, such as mammography and weight management. Knowledge and practice gaps were highest for recommendations related to screening for and management of long-term effects such as fatigue and distress. There were only a few minor differences reported between FPs and PHCNPs. CONCLUSION: There are knowledge and practice gaps related to implementation of the key guideline recommendations for breast cancer survivorship care in the primary care setting that could be targeted for improvement through educational or other interventions.