Wait times in prostate cancer diagnosis and radiation treatment

Ex Vivo Fluorescence Confocal Microscopy of MRI-Guided Targeted Prostate Biopsies for Rapid Detection of Clinically Significant Carcinomas-A Feasibility Study

BACKGROUND

MRI-guided prostate biopsies from visible tumor-specific lesions (TBx) can be used to diagnose clinically significant carcinomas (csPCa) requiring treatment more selectively than conventional systematic biopsies (SBx). Ex vivo fluorescence confocal microscopy (FCM) is a novel technique that can be used to examine TBx prior to conventional histologic workup.

METHODS

TBx from 150 patients were examined with FCM on the day of collection. Preliminary findings were reported within 2 h of collection. The results were statistically compared with the final histology.

RESULTS

27/40 (68%) of the csPCa were already recognized in the intraday FCM in accordance with the results of conventional histology. Even non-significant carcinomas (cisPCa) of the intermediate and high-risk groups (serum prostate-specific antigen (PSA) > 10 or 20 ng/mL) according to conventional risk stratifications were reliably detectable. In contrast, small foci of cisPCa were often not detected or were difficult to distinguish from reactive changes.

CONCLUSION

The rapid reporting of preliminary FCM findings helps to reduce the psychological stress on patients, and can improve the clinical management of csPCa. Additional SBx can be avoided in individual cases, leading to lower rates of complications and scarring in the future surgical area. Additional staging examinations can be arranged without losing time. FCM represents a promising basis for future AI-based diagnostic algorithms.

Predicting Radiotherapy Patient Outcomes with Real-Time Clinical Data Using Mathematical Modelling

Longitudinal tumour volume data from head-and-neck cancer patients show that tumours of comparable pre-treatment size and stage may respond very differently to the same radiotherapy fractionation protocol. Mathematical models are often proposed to predict treatment outcome in this context, and have the potential to guide clinical decision-making and inform personalised fractionation protocols. Hindering effective use of models in this context is the sparsity of clinical measurements juxtaposed with the model complexity required to produce the full range of possible patient responses. In this work, we present a compartment model of tumour volume and tumour composition, which, despite relative simplicity, is capable of producing a wide range of patient responses. We then develop novel statistical methodology and leverage a cohort of existing clinical data to produce a predictive model of both tumour volume progression and the associated level of uncertainty that evolves throughout a patient's course of treatment. To capture inter-patient variability, all model parameters are patient specific, with a bootstrap particle filter-like Bayesian approach developed to model a set of training data as prior knowledge. We validate our approach against a subset of unseen data, and demonstrate both the predictive ability of our trained model and its limitations.

Redesign of radiotherapy for prostate cancer: a proposal for universal healthcare systems

Aim: This study was designed to recommend strategies to improve prostate patients' access to radiotherapy treatment in the Brazilian Unified Health System, along with a cost-tool to support radiotherapy care pathways' lead times and costs. Methods: Data was collected prospectively from patients with prostate cancer receiving radiotherapy in two Brazilian centers to provide data to apply design thinking and process reengineering techniques. The current status of the radiotherapy pathway was determined and the length of time taken for in-hospital activities was measured using data exported from ARIA®. Interviews with patients were used to estimate their waiting periods. This provided the data used to provide recommended strategies and the cost tool based on time-driven activity-based costing. The strategies were classified according to priority. Results: Data from 47 patients were analyzed. The mean interval from diagnosis to start of radiotherapy was 349 days (SD581), and the mean interval from seeking medical attention to starting treatment was 635 days (SD629). Twelve strategies affecting in-hospital processes and 11 impacting patients' care pathways and experiences are recommended, mostly focused on system improvement opportunities. A time-driven activity-based costing monitoring using data extracted from ARIA was coded and can be used by centers as a cost assessment guide. Conclusion: This study uses reengineering and design techniques to introduce priority strategies to allow more efficient and patient-centered radiotherapy.

Survival Rate and Prognostic Factors of Localised Prostate Cancer in Southeast Asian Countries: A Systematic Review with Meta-Analysis

Prostate cancer (Pca) is one of the most prevalent health conditions affecting men, particularly older men, and cases have increased in recent years.

OBJECTIVE

This review examined the survival rate and prognostic factors of patients with Pca in Southeast Asia (SEA).

METHODS

We conducted a systematic search of three databases (PubMed, Scopus, Web of Science) and a manual search until April 1, 2022. The selected papers were evaluated using the Newcastle-Ottawa Quality Assessment Form for Cohort Studies. The review protocol was registered with PROSPERO (CRD42022326521). Pooled prevalence rates were calculated using the programme R version 4.2.1. Heterogeneity was assessed using the I2 statistic and p-value. A narrative approach was used to describe prognostic factors. Studies were selected and finalised based on the review question. The quality of the included studies was assessed.

RESULTS

A total of 11 studies were included in this review. The 1-, 3-, 5- and 10-year survival rates of SEA Pca cases were 80.8%, 51.9%, 66.1% (range 32.1-100) and 78% (range 55.9-100), respectively. Prognostic factors for Pca were discussed in terms of sociodemographic, disease-related and treatment-related aspects. The predictors of significantly lower survival were age more than 75 years, cancer detected during transurethral resection of the prostate, Gleason score more or equal to eight, high-risk group, metastases and no adjuvant radiotherapy. A meta-analysis on the pooled HR of prostate cancer could not be performed due to the heterogeneity of prognostic factors. The pooled prevalence of localised and metastatic prostate cancer in SEA countries was 39% 95% CI [20-62] and 40% 95% CI [28-53], respectively.

CONCLUSION

The survival rate in SEA countries can be determined by prognostic factors, which can be divided into sociodemographic, disease-related and treatment-related factors. Therefore, further studies are needed to improve the understanding and treatment of Pca in the region SEA.

Use of artificial intelligence in discerning the need for prostate biopsy and readiness for clinical practice: a systematic review protocol

BACKGROUND

Variability and inaccuracies in the diagnosis of prostate cancer, and the risk of complications from invasive tests, have been extensively reported in the research literature. To address this, the use of artificial intelligence (AI) has been attracting increased interest in recent years to improve the diagnostic accuracy and objectivity. Although AI literature has reported promising results, further research is needed on the identification of evidence gaps that limit the potential adoption in prostate cancer screening practice.

METHODS

A systematic electronic search strategy will be used to identify peer-reviewed articles published from inception to the date of searches and indexed in CINAHL, IEEE Xplore, MEDLINE, Scopus, and Web of Science Core Collection databases. Registries including Cochrane Central Register of Controlled Trials, ClinicalTrials.gov and International Clinical Trials Registry Platform (ICTRP) will be searched for unpublished studies, and experts were invited to provide suitable references. The research and reporting will be based on Cochrane recommendations and PRISMA guidelines, respectively. The screening and quality assessment of the articles will be conducted by two of the authors independently, and conflicts will be resolved by a third author.

DISCUSSION

This systematic review will summarise the use of AI techniques to predict the need for prostate biopsy based on clinical and demographic indicators, including its diagnostic accuracy and readiness for adoption in clinical practice.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO CRD42022336540.

Strengthening Capacity for Prostate Cancer Early Diagnosis in West Africa Amidst the COVID-19 Pandemic: A Realist Approach to Rethinking and Operationalizing the World Health Organization 2017 Guide to Cancer Early Diagnosis

Two years after SARS-CoV-2 (COVID-19) was declared a global public health emergency, the restoration, at least, to the pre-pandemic level of early diagnostic services for prostate cancer has remained enormously challenging for many health systems, worldwide. This is particularly true of West Africa as the region grapples also with the broader impacts of changing demographics and overly stretched healthcare systems. With the lingering COVID-19 crisis, it is likely that the current trend of late prostate cancer diagnosis in the region will worsen with a concomitant increase in the burden of the disease. There is, therefore, a compelling need for innovative and evidence-based solutions to de-escalate the current situation and forestall the collapse of existing structures supporting early prostate cancer diagnosis in the region. In this viewpoint, we make a case for the operationalization of the World Health Organization (WHO) guide to early cancer diagnosis to strengthen the capacity for early prostate cancer diagnosis in West Africa using a realist approach, drawing on participatory health research and evidence-based co-creation. Ultimately, we demonstrate the potential for developing COVID-19 responsive and context-specific models to optimize patient navigation/journey along the essential steps of the World Health Organization guide to early cancer diagnosis.

Waiting Times for Prostate Cancer Diagnosis in a Nigerian Population

Background

Prostate biopsy remains an important surgical procedure in the diagnostic pathway for prostate cancer, but access to prostate biopsy service is poorly studied in the Nigerian population. While there has been a well-documented delay in patient presentation with prostate cancer in Nigeria, little is however known about how long patients wait to have a histological diagnosis of prostate cancer and start treatment after presenting at Nigerian hospitals.

Method

This was a descriptive retrospective study to document the specific duration of the various timelines in getting a diagnosis of prostate cancer at the Lagos State University Teaching Hospital, Ikeja, Nigeria.

Results

There were 270 patients. The mean age was 69.50 ± 8.03 years (range 45-90). The mean PSA at presentation was 563.2 ± 1879.2 ng/ml (range 2.05-15400), and the median PSA was 49.3 ng/ml. The median waiting times were (i) 10 days from referral to presentation; (ii) 30 days from presentation to biopsy; (iii) 24 days from biopsy to review of histology; (iv) 1 day from histology review to discussion/planning of treatment. The median overall waiting time from referral to treatment was 103 days. The mean time from presentation to biopsy was significantly shorter for patients with PSA of ≥50 ng/ml compared to those with PSA < 50 ng/ml. p = 0.048. Overall, the median time from biopsy to histology was significantly shorter for patients whose specimens were processed in private laboratories (17 days) compared to those whose specimens were processed at the teaching hospital laboratory (30 days), p ≤ 0.001.

Conclusion

There is a significant delay within the health care system in getting a prostate cancer diagnosis in the Nigerian population studied. The major points of the identified delay were the waiting time from patient presentation to having a biopsy done and the histology report waiting time.

Patient experiences of waiting times in standardised cancer patient pathways in Norway - a qualitative interview study

Objective

Standardised cancer patient pathways (CPP) are implemented within cancer care with an aim to ensure standardised waiting times for diagnosis and treatment. This article investigates how patients in Norway experience waiting times within a CPP.

Methods

Qualitative semi-structured interviews with 19 patients who had been through CPP for breast cancer, prostate cancer or malignant melanoma in Norway.

Results

Few patients knew about the term CPP but trusted that waiting times were standardised to decrease mortality. Their experiences of waiting depended on their expectations as much as the period they waited. Patients generally felt safe about the timing of treatment, but not all expectations of a rapid response from health services were met. Short waiting times were interpreted as a sign of urgency, and a change of pace between urgent action and prolonged periods of waiting were disturbing.

Conclusions

Patients are comforted by knowing they are within a structured CPP that ensures rapid diagnosis and start of treatment. CPPs still need to be improved to avoid delays, allow for adaptions to patient needs, and include more information to avoid stress.

Waiting times for prostate cancer: A review

Prostate cancer is one of the most common diagnosed cancers in men and the waiting time has become an important issue not only for clinical reasons, but also mostly for the psychological implications on patients. The aim of our study was to review and analyze the literature on waiting times for prostate cancer. In February-March 2019 we performed a search for original peerreviewed papers in the electronic database PubMed (MEDLINE). The key search terms were "prostate cancer AND waiting list", "prostate cancer AND waiting times". We included in our narrative review articles in Italian, English or French, published in 2009-2019 containing original data about the waiting times for prostate cancer. The literature search yielded 680 publications. Finally, we identified 8 manuscripts eligible for the review. The articles were published between 2010 and 2019; the studies involved a minimum of 16 to a maximum of 95438 participants. Studies have been conducted in 6 countries. The waiting times from cancer suspicion to histopathological diagnosis and to treatment had an important reduction in the last years, and this constant decrease could lead to an increase of patients' satisfaction.

Associação de variáveis sociodemográficas e clínicas com os tempos para início do tratamento do câncer de próstata

Resumo Disparidades na atenção ao câncer de próstata têm sido reveladas e associadas a fatores sociodemográficos e clínicos, os quais determinam os tempos para diagnóstico e início do tratamento. O objetivo deste artigo é avaliar a associação de variáveis sociodemográficas e clínicas com os tempos para o início do tratamento do câncer de próstata. Estudo de coorte longitudinal prospectivo utilizando dados secundários, cuja população é de homens com câncer de próstata atendidos nos períodos de 2010-2011 e 2013-2014 no Hospital Santa Rita de Cássia, Vitória, Espírito Santo, Brasil. A população do estudo foi de 1.388 homens, do total, os com idade inferior a 70 anos (OR = 1,85; IC = 1,49-2,31), não brancos (OR = 1,30; IC = 1,00-1,70), com menos de oito anos de estudo (OR = 1,52; IC = 1,06-2,17) e encaminhados pelos serviços do Sistema Único de Saúde (OR = 2,52; IC = 1,84-3,46) apresentaram maior risco de atraso no tratamento. Da mesma forma, quanto menor o escore de Gleason (OR = 1,78; IC = 1,37-2,32) e os níveis de Antígeno Prostático Específico (OR = 2,71; IC = 2,07-3,54) maior a probabilidade de atraso para iniciar o tratamento. Portanto, as características sociodemográficas e clínicas exerceram uma forte influência no acesso ao tratamento do câncer de próstata.

The Waiting Time of Prostate Cancer Patients in Poland

Background: Prostate cancer is the second most common reason of mortality due to cancer among men in Poland. The study aimed to determine the waiting time for diagnosis and treatment of prostate cancer. Methods: The study was carried out on patients treated for prostate cancer from May 2014 to February 2015 at five oncological centres in Poland. The median waiting time was measured from the time cancer was suspected to the histopathological diagnosis (SDI), from the cancer suspicion to the start of treatment (STI) and from the diagnosis to the start of treatment (DTI). Results: 123 males treated for prostate cancer were included for analysis. The median time for SDI, STI and DTI was 7.7, 18.7 and 8.7 weeks, respectively. Place of residence was the only factor which influenced STI (p = 0.003). For patients, who started treatment with radiation therapy DTI was longer than for other patients (p < 0.001). Conclusions: Median times of STI, SDI and DTI for prostate cancer patients in Poland are similar to the intervals described in other countries. Patients, who lived further from an oncology centre waited longer for treatment. The impact of waiting time in the case of prostate cancer on improving the prognosis is still unclear.

How Long Are Cancer Patients Waiting for Oncological Therapy in Poland?

Background: The five-year relative survival rate in Poland is approximately 10% lower compared with the average for Europe. One of the factors that may contribute to the inferior treatment results in Poland could be the long time between cancer suspicion and the beginning of treatment. The aim of the study was to determine the real waiting time for cancer diagnosis and treatment in Poland. Methods: The study was carried out in six cancer centers on a group of 1373 patients, using a questionnaire to interview patients. The median waiting time was estimated as follows: (A) from suspicion (the date of the first visit, with symptoms, to a doctor or a preventive or screening test) until histopathological diagnosis; (B) from suspicion until initial treatment; and (C) from diagnosis until initial treatment. Results: The median times from suspicion to treatment, from suspicion to diagnosis, and from diagnosis to treatment, were 10.6, 5.6, and 5.0 weeks, respectively. Using multivariate analysis, the strongest influence was estimated, in a case of tumor localization, to be the method of initial treatment and facilities. Conclusion: The waiting time for cancer treatment in Poland is too long. The highest influence on waiting time was determined, in the case of tumors, as the type of cancer and factors related to the health care system.

Does surgical delay for radical prostatectomy affect biochemical recurrence? A retrospective analysis from a Canadian cohort

AIM

We sought to explore the impact of surgical wait time (SWT) to robot-assisted radical prostatectomy (RARP) on biochemical recurrence (BCR).

METHOD

Retrospective review of a prospectively collected database between 2006 and 2015 was conducted on all RARP cases. SWT was defined as period from prostate biopsy to surgery. Primary outcome was the impact on BCR, which was defined as two consecutive PSA ≥ 0.2 ng/dl, or salvage external beam radiation therapy and/or salvage androgen deprivation therapy. Patients were stratified according to D'Amico risk categories. Univariable analysis (UVA) and multivariable analyses (MVA) with a Cox proportional hazards regression model were used to evaluate the effect of SWT and other predictive factors on BCR, in each D'Amico risk group and on the overall collective sample.

RESULTS

Patients eligible for analysis were 619. Mean SWT was 153, 169, 150, and 125 days, for overall, low-, intermediate-, and high-risk patients, respectively. Multivariate analysis on the overall cohort did not show a significant relation between SWT and BCR. On subgroup analysis of D'Amico risk group, SWT was positively correlated to BCR for high-risk group (p = 0.001). On threshold analysis, cut-off was found to be 90 days. SWT did not significantly affect BCR on UVA and MVA in the low- and intermediate-risk groups.

CONCLUSION

Increased delay to surgery could affect the BCR, as there was a positive association in high-risk group. Further studies with longer follow-up are necessary to assess the impact of wait time on BCR, cancer specific survival and overall survival.

Predicting Patient-Specific Radiotherapy Protocols Based on Mathematical Model Choice for Proliferation Saturation Index

Radiation is commonly used in cancer treatment. Over 50% of all cancer patients will undergo radiotherapy (RT) as part of cancer care. Scientific advances in RT have primarily focused on the physical characteristics of treatment including beam quality and delivery. Only recently have inroads been made into utilizing tumor biology and radiobiology to design more appropriate RT protocols. Tumors are composites of proliferating and growth-arrested cells, and overall response depends on their respective proportions at irradiation. Prokopiou et al. (Radiat Oncol 10:159, 2015) developed the concept of the proliferation saturation index (PSI) to augment the clinical decision process associated with RT. This framework is based on the application of the logistic equation to pre-treatment imaging data in order to estimate a patient-specific tumor carrying capacity, which is then used to recommend a specific RT protocol. It is unclear, however, how dependent clinical recommendations are on the underlying tumor growth law. We discuss a PSI framework with a generalized logistic equation that can capture kinetics of different well-known growth laws including logistic and Gompertzian growth. Estimation of model parameters on the basis of clinical data revealed that the generalized logistic model can describe data equally well for a wide range of the generalized logistic exponent value. Clinical recommendations based on the calculated PSI, however, are strongly dependent on the specific growth law assumed. Our analysis suggests that the PSI framework may best be utilized in clinical practice when the underlying tumor growth law is known, or when sufficiently many tumor growth models suggest similar fractionation protocols.

Waiting times for cancer patients in Sweden: A nationwide population-based study

AIMS

The reported long waiting times for cancer patients have mostly been related to prognostic outcome and less to patient-related experience to outcome. We assessed waiting times for patients with cancer of the breast, prostate, colon or rectum in Sweden.

METHODS

The median time from referral to start of treatment was assessed using data from clinical cancer registers for patients who received curative treatment during 2011, 2012 and 2013.

RESULTS

The median overall waiting time in different counties ranged from 7 to 28 days for breast cancer, from 117 to 280 days for prostate cancer, from 27 to 64 days for colon cancer and from 48 to 80 days for rectal cancer. For the entire nation, the median time from referral to start of treatment remained unchanged from 2011 to 2013 for each cancer diagnosis.

CONCLUSIONS

Large variations were found in waiting times between different counties in Sweden and between different types of cancer. The long waiting times identified in this study emphasize the need to improve national programmes for more rapid diagnosis and treatment.

Accuracy and consequences of same-day, invasive lung cancer workup - a retrospective study in patients treated with surgical resection

BACKGROUND

Though widely used, little is known about accuracy and efficacy of same-day, invasive workup of suspected lung cancer.

OBJECTIVE

To evaluate the accuracy and efficacy of same-day, invasive lung cancer workup (diagnosis and mediastinal staging), and to identify differences between patients without (Group A) or with (Group B) need for resampling.

METHODS

A retrospective study was performed on all consecutive patients referred for surgical treatment for localised lung cancer after invasive diagnostic and staging workup at our unit. Data were extracted from electronic medical files. Surgical specimens served as gold standard for correct diagnosis and stage.

RESULTS

A total of 129 patients (peripheral lesion: 84%; mediastinal staging: 97%) were included. After same-day, invasive workup, 71% had no need for further invasive workup (Group A), while 29% had (Group B). Group A differed significantly from Group B in fewer invasive tests, fewer days from referral to surgery, and lower pneumothorax incidence, while no differences were observed in diagnostic accuracy, cancer subtype, tumour size, tumour stage, peripheral lesion, nodal involvement, gender, or presence of chronic obstructive pulmonary disease. Tumour located in right upper lobe was associated with need for resampling.

DISCUSSION

Our retrospective study suggests that same-day, invasive workup for lung cancer is safe, accurate, and efficacious in reducing time to therapy, even in patients with small lesions and low tumour burden.

Wait times for prostate cancer treatment and patient perceptions of care in Canada: a mixed-methods report

BACKGROUND

Access to cancer care is a significant concern for Canadians. Prolonged delays between cancer diagnosis and treatment have been associated with anxiety, stress, and perceived powerlessness for patients and their family members. Longer wait times can also be associated with poorer prognosis, although the evidence is inconclusive. Here, we report national wait times for radiation therapy and surgery for localized prostate cancer (pca) and the effect of wait time on patient perceptions of their care.

RESULTS

Treatment wait times showed substantial interprovincial variation. The longest 90th percentile wait times for radiation therapy and surgery were, respectively, 40 days and 105 days. In all provinces, waits for radiation therapy were longer for pca patients than for patients with breast, colorectal, or lung cancer. In the focus groups and interviews conducted with 47 men treated for pca, many participants did not perceive that wait times for treatment were prolonged. Those who experienced delays between diagnosis and treatment voiced issues with a lack of communication about when they would receive treatment and a lack of support or information to make an informed decision about treatment. Minimizing treatment delays was an aspect of the cancer journey that participants would like to change because of the stress it caused.

CONCLUSIONS

Although wait time statistics are useful, a review of cancer control in Canada cannot be considered complete unless an effort is made to give voice to the experiences of individuals with cancer. The findings presented here are intended to provide a snapshot of national care delivery for localized pca and to identify opportunities for improvement in clinical practice.

Improved wait time intervals for prostate cancer patients in a multidisciplinary rapid diagnostic unit compared to a community-based referral pattern

BACKGROUND

Wait times in cancer diagnosis and treatment may significantly affect a patient's treatment outcome, prognosis and quality of life. The purpose of this study was to capture wait time intervals for patients with prostate cancer treated with radiotherapy (RT) at the Odette Cancer Centre, Toronto, Ontario, Canada and to compare patients diagnosed in a rapid diagnostic unit (RDU) versus the usual community referral process.

METHODS

Patients agreed to participate in the study during their RT planning sessions. A semi-structured interview and chart abstraction was conducted to record key wait time milestones.

RESULTS

A total of 87 patients participated in the study: 44 RDU patients and 43 community patients. The median overall wait time intervals from suspicion of prostate cancer to RT was 138 and 183 days, respectively (p = 0.046). There were statistically significant differences observed for other key wait time intervals favouring the RDU cohort: suspicion to decision-to-treat (DTT; p = 0.012), urologist visit to diagnosis (p = 0.0094), diagnosis to DTT (p = 0.018), and diagnosis to treatment (p = 0.016). Risk category and Gleason sum was independently predictive of longer intervals from diagnosis to DTT.

INTERPRETATION

Wait time intervals from suspicion to treatment are significantly shorter for prostate cancer patients in 2011 to 2012 than in 2003 when patients were diagnosed and referred in the community setting. A prostate-specific RDU further reduced a number of key wait time intervals supporting more multidisciplinary RDUs for common diseases. Further work needs to be done to identify why delays are occurring and to develop new processes to minimize delays.

Racial and ethnic differences in time to treatment for patients with localized prostate cancer

OBJECTIVE

To investigate the racial/ethnic differences in the time to treatment among patients with prostate cancer.

MATERIALS AND METHODS

All 3448 men diagnosed with localized prostate cancer at Kaiser Permanente Southern California from 2006 to 2007 were identified. The patients were passively followed up through their electronic health records until definitive treatment, defined as the first treatment given with curative intent within 1 year of diagnosis. Cox proportional hazard models, with PROC SURVEYPHREG procedures, were used to account for the variability in time to the different treatments within multiple medical centers.

RESULTS

The overall median time to treatment was 102 days, with modest differences for whites (100 days), blacks (104 days), and Hispanics (99 days). In the adjusted model, black men had a significantly longer time to surgery (adjusted hazard ratio 0.74, 95% confidence interval 0.56-0.91) compared with white men. Hispanic men (adjusted hazard ratio 1.44, 95% confidence interval 1.07-1.74) experienced significantly shorter times to radiotherapy compared with white men. No difference was found in the time to radiotherapy or brachytherapy for black men relative to white men.

CONCLUSION

These data suggest that minimal racial/ethnic differences exist in the time to treatment after the diagnosis of prostate cancer in this equal-access setting. This is encouraging, but does not mean that all men were satisfied with their treatment choice.

Barriers to accessing radiation therapy in Canada: a systematic review

INTRODUCTION

Radiation therapy (RT) is effective treatment for curing and palliating cancer, yet concern exists that not all Canadians for whom RT is indicated receive it. Many factors may contribute to suboptimal use of RT. A review of recent Canadian literature was undertaken to identify such barriers.

METHODS

MEDLINE, CINAHL, and EMBase databases were used to search keywords relating to barriers to accessing or utilizing RT in Canada. Collected abstracts were reviewed independently. Barriers identified in relevant articles were categorized as relating to the health systems, patient socio-demographic, patient factors, or provider factors contexts and thematic analysis performed for each context.

RESULTS

535 unique abstracts were collected. 75 met inclusion criteria. 46 (61.3%) addressed multiple themes. The most cited barriers to accessing RT when indicated were patient age (n = 26, 34.7%), distance to treatment centre (n = 23, 30.7%), wait times (n = 22, 29.3%), and lack of physician understanding about the use of RT (n = 16, 21.6%).

CONCLUSIONS

Barriers to RT are reported in many areas. The role of provider factors and the lack of attention to patient fears and mistrust as potential barriers were unexpected findings demanding further attention. Solutions should be sought to overcome identified barriers facilitating more effective cancer care for Canadians.