Provider delay among patients with breast cancer in Germany: a population-based study

Factors associated with diagnostic and pre-treatment intervals among breast cancer patients attending care at the Uganda Cancer Institute: A cross-sectional study

BACKGROUND

Most breast cancer (BC) patients in Uganda are diagnosed with advanced-stage disease and experience poor outcomes. This study examined the diagnostic and pre-treatment intervals and factors associated with these intervals among BC patients attending care at the Uganda Cancer Institute (UCI).

METHODS

This was a cross-sectional, facility-based study. Data were collected using structured questionnaire administered by trained research assistants and analyzed using STATA version 14.0. Modified Poisson regressions models were used to determine the strength of associations between independent variables and diagnostic and pre-treatment intervals.

RESULTS

The mean age (±SD) of the 401 participants was 47.1 ± 11.7 years. Four in 10 participants had stage III (41.9%; n = 168) and over a third (34.7%; n = 140) stage IV cancers. The median interval from first consultation to diagnosis, i.e. diagnostic interval (DI) was 5.6 months (IQR: 1.5-17.0), while the median interval from histological diagnosis to start of chemotherapy, i.e. pre-treatment interval (PTI) was 1.7 months (IQR: 0.7-4.5). Majority (85%, n = 341) of participants were diagnosed at ≥3 months from first consultation with clinicians. Participants with tertiary education and those who lived within 100-199 km from the UCI were about four times and twice more likely to be diagnosed early (DI <3 months from first consultation) ([aPR = 3.88; 95% CI: 1.15-13.0] and [aPR = 2.19; 95% CI: 1.06-4.55]), respectively. About half (48.3%; n = 176) of participants started chemotherapy within 1 month of cancer diagnosis. Patients who lived more than 300 km from the UCI were less likely to start chemotherapy within 1 month of histology diagnosis of cancer. [Correction added on October 17, 2023 after first online publication. The term ', i.e.' has been included in the results section in this version.] CONCLUSION: Majority of breast cancer patients are diagnosed late and in advanced stages. There is need to promote all efforts toward timely diagnosis when cancers are still in early stages by identifying factors responsible for prolonged diagnostic intervals among breast cancer patients.

Association between COVID-19 incidence and postponement or cancellation of elective surgeries in Japan until September 2020: a cross-sectional, web-based survey

OBJECTIVES

This study aimed to examine whether and how the COVID-19 pandemic has affected the postponement or cancellation of elective surgeries in Japan.

DESIGN AND SETTING

A cross-sectional, web-based, self-administered survey was conducted nationwide from August 25 to September 30 2020. We used data from the Japan 'COVID-19 and Society' Internet Survey collected by a large internet research agency, Rakuten Insight, which had approximately 2.2 million qualified panellists in 2019.

PARTICIPANTS

From a volunteer sample of 28 000 participants, we extracted data from 3678 participants with planned elective surgeries on any postponement or cancellation of elective surgeries.

OUTCOME MEASURES

The main outcome measure was any postponement or cancelltion of elective surgeries. In addition, for all respondents, we extracted data on sociodemographic, health-related characteristics, psychological characteristics and prefectural-level residential areas. We used weighted logistic regression approaches to fulfil the study objectives, minimising potential bias relating to web-based surveys.

RESULTS

Of the 3678 participants, 431 (11.72%) reported experiencing postponement or cancellation of their elective surgeries. Notably, the participants living in prefectures where the declaration of the state of emergency was made on 7 April 2020 were significantly more likely to experience postponement or cancellation of elective surgeries than those residing in prefectures with the state of emergency beginning on 16 April 2020 (174 (26.02%) vs 153 (12.15%)).

CONCLUSIONS

The proportion of patients whose elective surgery had been postponed was limited during Japan's first wave of the COVID-19 pandemic, although the declaration of a state of emergency increased the likelihood of postponement. It is imperative to increase awareness of the secondary health effects related to policy intervention in pandemics and other health crises and to use appropriate countermeasures such as standard infectious control measures and triage of surgical patients.

Experiences of cancer survivors in Europe: Has anything changed? Can artificial intelligence offer a solution?

Introduction

Cancer is a major global health issue. Despite technological advancements in oncology, challenges remain in many aspects related to cancer management. This study constitutes one part of the user requirement definition of INCISIVE EU H2020 project, which has been designed to explore the full potential of artificial intelligence (AI) based technologies in cancer imaging. The study aimed to explore cancer survivors’ experiences of cancer care in five European countries.

Methods

A qualitative study employing semi-structured interviews was conducted. A purposive sampling strategy was used to recruit participants across the five validation countries of INCISIVE project: Greece, Cyprus, Spain, Italy, and Serbia. Forty cancer survivors were interviewed between November 2020 and March 2021. Data was analysed thematically using the framework approach and coded using NVivo12 software.

Results

The analysis yielded several gaps within the cancer care pathway which reflected on the participants experiences. Five key themes were revealed; (1) perceived challenges during the cancer journey, (2) the importance of accurate and prompt diagnosis, (3) perceived need for improving cancer diagnosis, (4) absence of well-established/designated support services within the pathway and (5) suggestions to improve cancer care pathway.

Conclusion

Cancer survivors experienced significant burdens pertaining to cancer diagnosis and treatment. Our findings underscored some main gaps within the cancer care pathway which contributed to the challenges articulated by the participants including lack of resources and delays in diagnostic and treatment intervals. Additionally, several suggestions were provided by the cancer survivors which could be considered towards the improvement of the current state of care, some of which can be optimised using new technologies involving AI such as the one proposed by INCISIVE.

Breast Cancer Treatment Delay in SafetyNet Health Systems, Houston Versus Southeast Brazil

Background

Breast cancer outcomes among patients who use safety-net hospitals in the highly populated Harris County, Texas and Southeast Brazil are poor. It is unknown whether treatment delay contributes to these outcomes.

Methods

We conducted a retrospective cohort analysis of patients with non-metastatic breast cancer diagnosed between January 1, 2009 and December 31, 2011 at Harris Health Texas and Unicamp’s Women’s Hospital, Barretos Hospital, and Brazilian National Institute of Cancer, Brazil. We used Cox proportional hazards regression to evaluate association of time to treatment and risk of recurrence (ROR) or death.

Results

One thousand one hundred ninety-one patients were included. Women in Brazil were more frequently diagnosed with stage III disease (32.3% vs. 21.1% Texas; P = .002). Majority of patients in both populations had symptom-detected disease (63% in Brazil vs. 59% in Texas). Recurrence within 5 years from diagnosis was similar 21% versus 23%. Median time from diagnosis to first treatment defined as either systemic therapy (chemotherapy or endocrine therapy) or surgery, were comparable, 9.9 weeks versus 9.4 weeks. Treatment delay was not associated with increased ROR or death. Higher stage at diagnosis was associated with both increased ROR and death.

Conclusion

Time from symptoms to treatment was considerably long in both populations. Treatment delay did not affect outcomes.

Impact

Access to timely screening and diagnosis of breast cancer are priorities in these populations.

Diagnostic delay in moderately/poorly differentiated breast cancer types

BACKGROUND

Diagnostic delay of breast cancer related to the false-negative assessment of the healthcare provider leads to tumor progression and might worsen the outcome. Previous studies found some factors associated with provider-related diagnostic delay; however, tumor biology has tended not to be considered. The aim of our study was to find differences in diagnostic delay of poorly differentiated breast cancer types.

METHODS

Data of 970 patients with newly diagnosed moderately/poorly differentiated (G2/3) breast cancer at the age ≥40 years was retrospectively analyzed regarding breast cancer type, diagnostic delay and its consequence, clinical factors and physician's assessment. Multivariate analysis was used to evaluate associated factors with diagnostic delay.

RESULTS

We observed a diagnostic delay in 3.8% (n = 37) of all patients. Mean delay time was 128 days, and clinically relevant tumor growth was observed in 43.2% of these cases. Delay was significantly higher in the group of triple-negative breast cancer (9.9% versus 2.7, 5.3 and 1.8% in hormonal receptor (HR)+/human epidermal growth factor receptor 2 (HER2)-, HR-/Her2+ and HR+/Her2+, respectively; P value <0.001). Age, breast density and reason for presentation were not correlated to diagnostic delay.

CONCLUSION

Patients with triple-negative breast cancer are at higher risk of receiving a false-negative assessment and experiencing a diagnostic delay. Our results emphasize the importance of a detailed consideration of clinical risk factors and provider training and suggest a broad indication for a core needle biopsy.

Factors affecting the decision to investigate older adults with potential cancer symptoms: a systematic review

BACKGROUND

Older age and frailty increase the risk of morbidity and mortality from cancer surgery and intolerance of chemotherapy and radiotherapy. The effect of old age on diagnostic intervals is unknown; however, older adults need a balanced approach to the diagnosis and management of cancer symptoms, considering the benefits of early diagnosis, patient preferences, and the likely prognosis of a cancer.

AIM

To examine the association between older age and diagnostic processes for cancer, and the specific factors that affect diagnosis.

DESIGN AND SETTING

A systematic literature review.

METHOD

Electronic databases were searched for studies of patients aged >65 years presenting with cancer symptoms to primary care considering diagnostic decisions. Studies were analysed using thematic synthesis and according to the Synthesis Without Meta-analysis guidelines.

RESULTS

Data from 54 studies with 230 729 participants were included. The majority of studies suggested an association between increasing age and prolonged diagnostic interval or deferral of a decision to investigate cancer symptoms. Thematic synthesis highlighted three important factors that resulted in uncertainty in decisions involving older adults: presence of frailty, comorbidities, and cognitive impairment. Data suggested patients wished to be involved in decision making, but the presence of cognitive impairment and the need for additional time within a consultation were significant barriers.

CONCLUSION

This systematic review has highlighted uncertainty in the management of older adults with cancer symptoms. Patients and their family wished to be involved in these decisions. Given the uncertainty regarding optimum management of this group of patients, a shared decision-making approach is important.

Presentation of breast cancer, help seeking behaviour and experience of patients in their cancer journey in Singapore: a qualitative study

BACKGROUND

Little is known about the presentation, help seeking behaviour for breast cancer in Singapore. Nor was there a study exploring the experience of patients in their breast cancer journey.

METHODS

A qualitative interview study with thematic analysis, conducted with 36 patients.

RESULTS

There is no clear pattern of presentation for breast cancer by cancer stage at diagnosis, age and ethnicity in the cancer journey of this group of patients. Patients were diagnosed with early to advanced stages cancer regardless of when they presented or took up treatment in their cancer journey. The reasons patients sought medical attention also did not appear to differ between the stages of cancer diagnosed, ethnic and age. Without setting a measure to define early and late presentation, we found that women shared similar experience in their breast cancer journey, regardless of age, ethnicity and stage of cancer at diagnosis. Poor knowledge of breast cancer (symptoms and causes); few practised regular BSE; denial of symptom; fear of hospitalisation, diagnosis and treatment; worries and stress over financial burden of treatment; misinformation in magazine and online sources; diet; stress; caring responsibility; support network; and use of alternative medicine before and after diagnosis were identified in patients' narratives. Strong social support; fear of being an emotional and financial burden for the family; and financial worries during treatment were also the recurring themes after diagnosis.

CONCLUSION

A measure of breast cancer presentation - that accounts for the patient's experience in the cancer journey, the time interval and tumour biology - that is meaningful to patients, clinicians and researchers is needed. For research on late and delayed presentation, details on BSE practice - how often, when and was it done correctly - will improve the accuracy of time delay interval. For the public, concerted efforts to improve knowledge of breast cancer, survival and prognosis for early-diagnosed cancer, and the importance of regular and correct technique to perform BSE, are critical and urgent to address the rising breast cancer incidence in the country.

Factores demográficos asociados al tratamiento oportuno en mujeres con cáncer de mama, Antioquia

El cáncer de mama es la principal causa de muerte en el mundo por enfermedades tumorales malignas entre las mujeres y el pronóstico de una mujer con esta enfermedad depende de un diagnóstico y tratamiento integral. Se estableció la asociación entre los factores demográficos y el tratamiento oportuno de las mujeres con cáncer de mama de Antioquia en el primer semestre 2017. Se realizó un estudio transversal, retrospectivo, para identificar la incidencia del cáncer de mama y la asociación de los determinantes demográficos no causales de los pacientes con cáncer de mama y la oportunidad en el tratamiento, mediante una regresión logística binaria múltiple. Se presentaron 355 casos nuevos de cáncer de mama, para una tasa de incidencia de 10,5 casos por cada 100.000 mujeres. Los factores demográficos asociados fueron: residencia urbana (RPa: 3,08 IC95%: 0,38-24,83), afiliación al régimen subsidiado (RPa: 1,90 IC95%: 0,81-4,46), episodios previos de hospitalización (RPa: 1,90 IC95%: 0,81-4,46), diagnóstico tardío ≥ 16 días (RPa: 0,46 IC95%: 0,18-1,19) y la edad (RPa: 0,97 IC95%: 0,95-1,00). El tratamiento oportuno de pacientes de cáncer de mama se asocia con la residencia urbana, la afiliación al régimen subsidiado, episodios previos de hospitalización, un diagnóstico tardío y la edad.

Addis Ababa population-based pattern of cancer therapy, Ethiopia

Cancer in Sub-Saharan Africa is becoming an important challenge for health services due to rising numbers of patients. In Addis Ababa with around 3.5 million inhabitants, more than 2000 cases are diagnosed annually. In this retrospective population-based cohort study we assessed completeness of and waiting time for cancer-therapy among patients registered in the Addis Ababa City Cancer Registry (AACCR), Ethiopia. Patient hospital files were retrieved to complete the data from AACCR. A total of 588 files were found (51% of those diagnosed from January to March 2012 and 2014). We analyzed completeness and waiting time of chemotherapy and radiotherapy; with completeness defined as ≥85% therapy received according to local guidelines. Analysis was done for the five most common cancer-types commonly treated with chemotherapy (breast, colorectal, non-Hodgkin`s lymphoma, lung and ovarian) and the four most common cancer-types commonly treated with radiotherapy (breast, cervical, head and neck and rectal). In our study, half of the patients (54.1%) received adequately dosed chemotherapy and 24.5% of patients received adequately dosed radiotherapy. The median waiting time was 2.1 months (Range: 0 to 20.72) for chemotherapy and 7 months (Range: 0.17 to 21.8) for radiotherapy. This study underscores the need for health system measures to improve cancer-directed therapy in Ethiopia, especially concerning radiotherapy.

Breast Cancer Provider Interval Length in Fukushima, Japan, After the 2011 Triple Disaster: A Long-Term Retrospective Study

BACKGROUND

Minimizing the interval from symptom onset to treatment commencement is essential for a favorable outcome among breast cancer (BC) patients. This study examined whether provider interval (time elapsed from first consultation to treatment initiation) lengthened among BC patients after Japan's 2011 earthquake, tsunami, and nuclear disaster in Fukushima. Factors associated with the length of postdisaster interval and whether the interval was associated with BC stage were also investigated.

PATIENTS AND METHODS

So-so District (study site) was an area damaged by the 2011 disasters. Data of all BC patients who made their first medical consultation and received initial treatment at the core medical institutions in the area 5 years before or after the disaster were extracted from patient medical records. We used several regression approaches to fulfill our study objectives.

RESULTS

We included 263 (140 predisaster and 123 postdisaster) patients. After adjustment for covariates, the interval did not significantly change after the disaster compared to before the disaster. Those with 4 or 5 cohabiting family members experienced a shorter interval after the disaster than those with 0 or 1 cohabiting family members (relative length, 0.47; 95% confidence interval, 0.28-0.78). Those with an interval of > 60 days had lower odds of stage III or IV cancer after the disaster than those with an interval of < 30 days (odds ratio, 0.09; 95% confidence interval, 0.01-0.84).

CONCLUSION

Overall, provider interval did not lengthen after the disaster. However, those with fewer cohabiting family members might have experienced a longer total interval. Cancer stage may not necessarily reflect the influence of interval on patient outcome.

Impact of Primary Care Delay on Progression of Breast Cancer in a Black African Population: A Multicentered Survey

BACKGROUND

Reports are scanty on the impact of long primary care interval in breast cancer. Exploratory reports in Nigeria and other low-middle-income countries suggest detrimental impact. The primary aim was to describe the impact of long primary care interval on breast cancer progression, and the secondary aim was to describe the factors perceived by patients as the reason(s) for long intervals.

METHOD

Questionnaire-based survey was used in 9 Nigerian tertiary institutions between May 2017 and July 2018. The study hypothesis was that the majority of patients stayed >30 days, and the majority experienced stage migration in primary care interval. Assessment of the impact of the length of interval on tumor stage was done by survival analysis technique, and clustering analysis was used to find subgroups of the patient journey.

RESULTS

A total of 237 patients presented to primary care personnel with tumor ≤5cm (mean 3.4±1.2cm). A total of 151 (69.3%, 95% CI 62.0-75.0) stayed >30 days in primary care interval. Risk of stage migration in primary care interval was 49.3% (95% CI 42.5%-56.3%). The most common reasons for long intervals were symptom misinformation and misdiagnosis. Clustering analysis showed 4 clusters of patients' experience and journey: long interval due to distance, long interval due to misinformation, long interval due to deliberate delaying, and not short interval-prepared for treatment.

CONCLUSION

The majority of patients stayed longer than 30 days in primary care interval. Long primary care interval was associated with a higher risk of stage migration, and more patients reported misinformation and misdiagnosis as reasons for a long interval.

Primary health care factors associated with late presentation of cancer in Saudi Arabia

Introduction:

Delays in the diagnosis of cancer were found to be a worldwide matter, and the early cancer detection has been targeted as a way to improve survival. Quantitative studies from Saudi Arabia reported a high number of cancer cases presenting at cancer centres for the first time with more advanced stages of the disease progression compared to Western countries without exploring the reasons for this phenomenon. Worldwide research identified several factors that contribute to delay in the diagnosis and treatment of cancer which were attributed to both patient and healthcare system. However, it was argued that variation in the operation of health systems and the socio-cultural context across countries makes it difficult to generalise findings beyond individuals’ countries. This necessitates country specific research to investigate why patients in Saudi Arabia present to cancer centres with late/advanced stages of their diseases.

Research aim and objectives:

The aim of this study is to identify and explore the factors that contribute to late-stage presentation of common cancers in Saudi Arabia. The main objective of this study is to understand the help seeking journey taken by patients with cancer from the time they discovered or felt their symptoms until the time they have their treatment initiated.

Methods:

Qualitative interviewing was used to collect data from 20 patients and 15 health professionals. The interviews were transcribed and then were subjected to the thematic analysis using a framework approach developed by Ritchie and Spencer (1994).

Results:

While some findings support what previous studies found as contributing factors responsible for delayed presentation of common cancers, this study identified several factors, which are believed to be country-specific. The ‘role of General Practitioner (GP)’, ‘challenges facing GPs’ and ‘ambiguity of the referral system’ were found to be factors that contribute to delay in the diagnosis and treatment of cancer in Saudi Arabia.

Conclusion:

This research identified several factors that need to be investigated in the future using quantitative methods. There is a need to investigate the extent of using alternative medicine and its possible association with late presentation of cancer.

Breast cancer detection method, diagnostic interval and use of specialized diagnostic assessment units across 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.

Locally advanced breast cancer in young women in Latin America

The purpose of this review is to organise, summarise and critically assess existing knowledge on locally advanced breast cancer (LABC) among young women in Latin America. We discuss the most relevant findings in six sections: 1) epidemiology of breast cancer in young women in Latin America; 2) being young as a factor for worse prognosis; 3) LABC in young women in the region; 4) aggressive tumour behaviour among young women; 5) delays in diagnosis and treatment and 6) burden of advanced disease. We point out the need to dedicate resources to enhance earlier diagnosis and prompt referrals of young women with breast cancer; promote research regarding prevalence, biologic characteristics, outcomes and reasons for diagnosis and treatment delays for this age group; and finally, implement supportive care programmes as a means of improving patients and their families’ well-being. The recognition of the current standpoint of breast cancer in young patients across the continent should shed some light on the importance of this pressing matter.

Patients With Breast Cancer: Report From a National Hospital-Based Cancer Registry in Argentina, 2012 to 2016

Purpose

To describe sociodemographic, epidemiologic, and clinical characteristics of patients who were diagnosed with breast cancer and registered in the Institutional Tumor Registry of Argentina (RITA) as of April 2016.

Methods

This was an observational, descriptive case study in patients who were diagnosed with breast cancer between April 2012 and April 2016 and registered in RITA. Quantitative and qualitative analyses were done, including delay from symptoms to first consultation, delay from diagnosis to treatment (opportunities), as well as patients’ survival (Kaplan-Meier and log-rank tests).

Results

There were 4,883 identified patients and 4,950 tumors. The mean age of patients was 57.6 years (median, 56 years); 60% of patients had completed elementary studies, 46.8% had some health coverage, and 85.4% of diagnoses were made by tumor histology (TNM stage: T2 19%, N0 20%, M0 29.1%; clinical stages II and III: 34.7%). In terms of morphology, 89.6% of primary tumors had malignant behavior (76% ductal, 8% lobular); and for immunohistochemistry, 34.3% were estrogen receptor positive/progesterone receptor positive/human epidermal growth factor receptor 2 negative. The longest delays analyzed were from diagnosis date to the beginning of first treatment. Survival rates were 96% for up to 24 months and 84.7% for up to 36 months.

Conclusion

For the first time in Argentina, there is systematized information on the care of oncology patients at public health institutions, which is useful for improving patients’ care. We found that RITA collects important information for the identification of groups with similar sociodemographic and clinical characteristics that could show different vulnerabilities along the disease process.

Delay in breast cancer diagnosis: a Brazilian cohort study

OBJECTIVES

To evaluate the delay in breast cancer (BC) diagnosis and its risk factors.

STUDY DESIGN

A cohort study of BC patients referred to treatment at oncological reference hospital, Brazil. Delay in BC diagnosis was defined as a time interval ≥90 days between the first contact with a care provider and a BC diagnosis.

METHODS

The association between independent variables and delay was performed by univariate analysis and multiple logistic regression.

RESULTS

Five hundred and twenty-six women were included in the study. Delay was observed in 68.8% and was associated with performing histopathological examination at oncological reference hospital (odds ratio [OR]: 3.96, 95% confidence interval [CI]: 1.91-8.20) or at another public health service (OR: 2.31; 95% CI: 1.50-3.56) and attending gynecological consultations annually (OR: 3.24; 95% CI: 1.97-5.33) or every 2-3 years (OR: 2.86; 95% CI: 1.55-5.28). Patients who presented a lump as the first sign or symptom had a lower chance of delay (OR: 0.43; 95% CI: 0.29-0.65).

CONCLUSIONS

Improvements in the structure and access to health services are needed to reduce the time to diagnosis.

Patient and Care Delays of Breast Cancer in China

Purpose

This study differentiates patient and care delays of breast cancer and explores the related factors as well as the associations with the prognosis in Guangzhou, a southern city of China.

Methods

A cohort of female incident breast cancer patients (n=1,551) was recruited from October 2008 to March 2012 and followed up until January 1, 2016 (n=1,374) in the affiliated hospitals of Sun Yat-sen University. The factors associated with patient and care delays were analyzed with multivariable logistic models. Cox proportional hazards regression models were constructed to estimate the impacts of the delays on the prognosis.

Results

There were 40.4% patient delay (≥3 months) and 15.5% care delay (≥1 month). The patient delay, but not the care delay, was significantly related to the clinical stage and consequently worsened the prognosis of breast cancer (hazard ratio, 1.45; 95% confidence interval, 1.09 to 1.91 for progression-free survival). The factors related to an increased patient delay included premenopausal status, history of benign breast disease, and less physical examination.

Conclusion

Patient delay was the main type of delay in Guangzhou and resulted in higher clinical stage and poor prognosis of breast cancer. Screening for breast cancer among premenopausal women may be an effective way to reduce this delay.

Predictors of Adherence and Treatment Delays among African American Women Recommended to Receive Breast Cancer Chemotherapy

BACKGROUND

Recognition of potential explanations for nonadherence or treatment delays is crucial to improving survival, particularly among African American women, for whom there is limited research assessing patient factors that influence adherence to breast cancer chemotherapy.

OBJECTIVE

This study sought to examine the association of patient factors such as age, income, employment, and partner status with adherence (full dose/on time) to prescribed breast cancer adjuvant chemotherapy and delays in treatment among African American women.

METHODS

This observational, prospective study used baseline data from the Adherence, Communication, Treatment, and Support Intervention Study that included African American women with early stage breast cancer who were recommended to receive chemotherapy. Eleven baseline demographic variables measured by a sociodemographic questionnaire were analyzed against the outcome variables of 85% adherence to chemotherapy, dichotomized as yes or no, and chemotherapy treatment delays measured as number of days.

RESULTS

For the 121 African American women included in this study, only employment status and number of comorbidities were significant predictors for total treatment delays (incidence rate ratio [IRR] = 2.175 [p = .000]; IRR = 1.234 [p = .003]) in the adjusted models.

IMPLICATIONS

Employment status and number of comorbidities are predictors of the ability to receive timely breast cancer chemotherapy among African American women. This knowledge allows identification of patients in need of tailored supportive care to encourage adherence and prevent treatment delays.

Healthcare delay in breast cancer patients: a case study in a low-density population region from Mexico

Aim: To describe delay intervals, their impact on clinical stage and initiation of first oncologic treatment, and evaluate associated factors in breast cancer patients in Yucatan, Mexico, a low-density population region. Patients & methods: A retrospective analysis was done of 92 medical records, and bivariate and multivariate models applied to identify associations between healthcare delay and several factors. Results: System delay accounted for most of the delay (median: 86 days; 61% of delay). Socioeconomic status and delivery to tertiary-care hospital predicted delay. Clinical stage determined initiation of first oncologic treatment. Conclusion: Delay in treatment was largely due to system delay. Only a few variables explained this delay. Clinical stage had the strongest effect on initiation of first oncologic treatment.

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.

Delayed presentation and diagnosis of breast cancer in African women: a systematic review

PURPOSE

Africa has low breast cancer incidence rates but high mortality rates from this disease due to poor survival. Delays in presentation and diagnosis are major determinants of breast cancer survival, but these have not been comprehensively investigated in Africa.

METHODS

MEDLINE, Embase, and Global Health were searched to identify studies reporting on delays in presentation and/or diagnosis of breast cancer published between January 1, 2000 and May 31, 2016. Data were synthesized in narrative, tabular, and graphical forms. Meta-analyses were not possible due to between-study differences in the way delays were reported.

RESULTS

Twenty-one studies were included in the review. Study-specific average times between symptom recognition and presentation to a health care provider ranged from less than 1 to 4 months in North Africa and from less than 3 to greater than 6 months in sub-Saharan Africa. Study-specific average times from presentation to diagnosis were less than 1 month in North Africa but ranged from less than 3 to greater than 6 months in sub-Saharan Africa. Reported reasons for these delays included patient-mediated (e.g., socioeconomic factors) and health system-mediated factors (e.g., referral pathways).

CONCLUSIONS

This systematic review revealed marked delays in presentation and diagnosis of breast cancer in Africa. Identification of their drivers is crucial to the development of appropriate control strategies in the continent.

Breast cancer patient delay in Fukushima, Japan following the 2011 triple disaster: a long-term retrospective study

Background

Little information is available concerning how patient delay may be affected by mass disasters. The main objectives of the present study are to identify whether there was a post-disaster increase in the risk of experiencing patient delay among breast cancer patients in an area affected by the 2011 triple disaster in Fukushima, Japan, and to elucidate factors associated with post-disaster patient delay. Sociodemographic factors (age, employment status, cohabitant status and evacuation status), health characteristics, and health access- and disaster-related factors were specifically considered.

Methods

Records of symptomatic breast cancer patients diagnosed from 2005 to 2016 were retrospectively reviewed to calculate risk ratios (RRs) for patient delay in every year post-disaster compared with the pre-disaster baseline. Total and excessive patient delays were respectively defined as three months or more and twelve months or more from symptom recognition to first medical consultation. Logistic regression analysis was conducted for pre- and post-disaster patient delay in order to reveal any factors potentially associated with patient delay, and changes after the disaster.

Results

Two hundred nineteen breast cancer patients (122 pre-disaster and 97 post-disaster) were included. After adjustments for age, significant post-disaster increases in RRs of experiencing both total (RR: 1.66, 95% Confidence Interval (CI): 1.02–2.70, p < 0.05) and excessive patient delay (RR: 4.49, 95% CI: 1.73–11.65, p < 0.01) were observed. The RRs for total patient delay peaked in the fourth year post-disaster, and significant increases in the risk of excessive patient delay were observed in the second, fourth, and fifth years post-disaster, with more than five times the risk observed pre-disaster. A family history of any cancer was the only factor significantly associated with total patient delay post-disaster (odds ratio: 0.38, 95% CI: 0.15–0.95, p < 0.05), while there were no variables associated with delay pre-disaster.

Conclusions

The triple disaster in Fukushima appears to have led to an increased risk of patient delay among breast cancer patients, and this trend has continued for five years following the disaster.

Electronic supplementary material

The online version of this article (doi:10.1186/s12885-017-3412-4) contains supplementary material, which is available to authorized users.

Preoperative clinical pathway of breast cancer patients: determinants of compliance with EUSOMA quality indicators

Background:

The European Society of Breast Cancer Specialists (EUSOMA) has defined quality indicators for breast cancer (BC). The aim of this study was to describe the preoperative clinical pathway of breast cancer patients and evaluate the determinants of compliance with EUSOMA quality indicators in the Optisoins01 cohort.

Methods:

Optisoins01 is a prospective, multicentric study. Data from operable BC patients were collected, including results from before surgery to 1 year follow-up. Seven preoperative EUSOMA quality indicators were compared with the clinical pathways Optisoins01.

Results:

Six hundred and four patients were included. European Society of Breast Cancer Specialists targets were reached for indicator 1 (completeness of clinical and imaging diagnostic work-up), 3 (preoperative definitive diagnosis) and 5 (waiting time). For indicator 8 (multidisciplinary discussion), the minimum standard of 90% of the patients was reached only in general hospitals and comprehensive cancer centres. Having more than 1 medical examination within the centre was associated with an increased waiting time for surgery, whereas it was reduced by having an outpatient breast biopsy. The comprehensive cancer centre type was the only parameter associated with the other quality indicators.

Conclusions:

European Society of Breast Cancer Specialists quality indicators are a useful tool to evaluate care organisations. This study highlights the need for a standardised and coordinated preoperative clinical pathway.

Socio-economic disparities in long-term cancer survival-10 year follow-up with individual patient data

PURPOSE

Reasons for the social gradient in cancer survival are not fully understood yet. Previous studies were often only able to determine the socio-economic status of the patients from the area they live in, not from their individual socio-economic characteristics.

METHODS

In a multi-centre cohort study with 1633 cancer patients and 10-year follow-up, individual socio-economic position was measured using the indicators: education, job grade, job type, and equivalence income. The effect on survival was measured for each indicator individually, adjusting for age, gender, and medical characteristics. The mediating effect of health behaviour (alcohol and tobacco consumption) was analysed in separate models.

RESULTS

Patients without vocational training were at increased risk of dying (rate ratio (RR) 1.5, 95% confidence interval (CI) 1.1-2.2) compared to patients with the highest vocational training; patients with blue collar jobs were at increased risk (RR 1.2; 95% CI 1.0-1.5) compared to patients with white collar jobs; income had a gradual effect (RR for the lowest income compared to highest was 2.7, 95% CI 1.9-3.8). Adding health behaviour to the models did not change the effect estimates considerably. There was no evidence for an effect of school education and job grade on cancer survival.

CONCLUSIONS

Patients with higher income, better vocational training, and white collar jobs survived longer, regardless of disease stage at baseline and of tobacco and alcohol consumption.

Association between stage at diagnosis and knowledge on cervical cancer among patients in a Kenyan tertiary hospital: a cross-sectional study

Introduction

In Kenya, cervical cancer is the second most common cancer among women; almost half of all women with invasive cervical cancer are diagnosed at a late stage. Few women are aware of the symptoms and risk factors of cervical cancer and that its precursor lesions are detectable through screening thus most women seek treatment when the cancer is at an advanced stage. The study explored the influence of cervical cancer awareness on stage at diagnosis in patients attending Kenyatta National Hospital.

Methods

A cross-sectional survey was adapted to obtain socio-demographic information, knowledge on symptoms and risk factors from 361 women with histological diagnosis of cervical cancer conveniently sampled at Kenyatta National Hospital. Associations between stage at diagnosis and knowledge on cervical cancer were tested using chi-square statistic and fisher's exact test at 95% confidence interval.

Results

Seven in every 10 women (72.6%) presented with advanced stage cervical cancer. Knowledge on the sexually transmitted nature of cervical cancer was inadequate, 22% of women with early stage and 23.7% of women with advanced stage cervical cancer (p=0.874). Majority of the women were not aware of the causative link between cervical cancer and human papillomavirus (HPV), 8 (13.1%) of women with early stage and 5 (3.5%) of women with advanced stage cervical cancer (p=0.036).

Conclusion

Stage at presentation was advanced and knowledge on the role of a sexually transmitted virus in the cervical cancer aetiology was poor among the women. Increasing screening programs and providing information highlighting this association is necessary.

Are disparities of waiting times for breast cancer care related to socio-economic factors? A regional population-based study (France)

The increasing number of breast cancer cases may induce longer waiting times (WT), which can be a source of anxiety for patients and may play a role in survival. The aim of this study was to examine the factors, in particular socio-economic factors, related to treatment delays. Using French Cancer Registry databases and self-administered questionnaires, we included 1,152 women with invasive non-metastatic breast cancer diagnosed in 2007. Poisson regression analysis was used to identify WTs' influencing factors. For 973 women who had a malignant tissue sampling, the median of overall WT between the first imaging procedure and the first treatment was 44 days (9 days for pathological diagnostic WT and 31 days for treatment WT). The medical factors mostly explained inequalities in WTs. Socio-economic and behavioral factors had a limited impact on WTs except for social support which appeared to be a key point. Better identifying the factors associated with increase in WTs will make it possible to develop further interventional or prospective studies to confirm their causal role in delay and at last reduce disparities in breast cancer management.

Impact of socio-economic position on cancer stage at presentation: Findings from a large hospital-based study in Germany

We explored the relationship between socio-economic characteristics and cancer stage at presentation. Patients admitted to a university hospital for diagnosis and treatment of cancer provided data on their education, vocational training, income, employment, job, health insurance and postcode. Tumor stage was classified according to the Union International Contre le Cancer (UICC). To analyze disparities in the likelihood of late-stage (UICC III/IV vs. I/II) diagnoses, logistic regression models adjusting for age and gender were used. Out of 1,012 patients, 572 (59%) had late-stage cancer. Separately tested, increased odds of advanced disease were associated with post-compulsory education compared to college degrees, with apprenticeship and no vocational training, with unemployment, disability pension, jobs with a low hierarchy level, blue collar jobs and with low income. Health insurance and community size were not related with late-stage cancer. Jointly modelled, there was evidence for an independent effect of unemployment (odds ratio (OR) 1.7, CI 1.0-2.8), disability pension (OR 1.8, CI 1.0-3.2) and very low income (OR 2.6, CI 1.1-6.1) on the likelihood of advanced disease stage. It is of great concern that these socio-economic gradients occur even in systems with equal access to health care.

Factors Associated With Waiting Time for Breast Cancer Treatment in a Teaching Hospital in Ghana

Background Breast cancer is the leading cause of cancer-related mortality among women in Ghana. Data are limited on the predictors of poor outcomes in breast cancer patients in low-income countries; however, prolonged waiting time has been implicated. Among breast cancer patients who received treatment at Korle Bu Teaching Hospital, this study evaluated duration and factors that influenced waiting time from first presentation to start of definitive treatment. Method We conducted a hospital-based retrospective study of 205 breast cancer patients starting definitive treatment at Korle Bu Teaching Hospital between May and December 2013. We used descriptive statistics to summarize patient characteristics. Mann-Whitney U and Kruskal-Wallis tests and Spearman rank correlation were performed to examine the patients, health system, and health worker factors associated with median waiting time. Poisson regression was used to examine the determinants of waiting time. Results The mean age of the patients was 51.1 ± 11.8 years. The median waiting time was 5 weeks. The determinants of waiting time were level of education, age, income, marital status, ethnicity, disease stage, health insurance status, study sites, time interval between when biopsy was requested and when results were received and receipt of adequate information from health workers. Conclusion A prolonged waiting time to treatment occurs for breast cancer patients in Ghana, particularly for older patients, those with minimal or no education, with lower income, single patients, those with late disease, those who are insured, and who did not receive adequate information from the health workers. Time to obtain biopsy reports should be shortened. Patients and providers need education on timely treatment to improve prognosis.

["SOS SEIN 84" accelerated breast disease management: Patients satisfaction survey]

In case of a new breast symptom or an abnormal result of breast imaging, some women have a problem finding a quick answer to allay their anxiety. The Institut Sainte-Catherine in Avignon has set up a new form of accelerated disease management through the opening of a new dedicated consultation called SOS SEIN 84. We present the result of a prospective quality study of our first new patients.

Unintended consequences of an 'all-clear' diagnosis for potential cancer symptoms: a nested qualitative interview study with primary care patients

BACKGROUND

Nine out of 10 patients undergoing urgent cancer investigations receive an 'all-clear' diagnosis.

AIM

A qualitative approach was used to evaluate the impact of investigations that did not result in cancer diagnosis on subsequent symptom attribution and help seeking for recurrent or new possible cancer symptoms.

DESIGN AND SETTING

A survey of symptoms, help seeking, and past investigations was sent to 4913 individuals aged ≥50 years from four UK general practices. Of 2042 responders, 62 participants were recruited still reporting at least one cancer 'alarm' symptom in a 3-month follow-up survey for a nested in-depth interview study (ensuring variation in sociodemographic characteristics).

METHOD

Framework analysis was used to examine the in-depth semi-structured interviews and identify themes related to previous health investigations.

RESULTS

Interviewees were on average 65 years old, and 90% reported investigations within the previous 2 years. Most often they reported gastrointestinal, urinary, and respiratory symptoms, and 42% had waited ≥3 months before help seeking. Reassurance from a previous non-cancer diagnosis explained delays in help seeking even if symptoms persisted or new symptoms developed months or years later. Others were worried about appearing hypochondriacal or that they would not be taken seriously if they returned to the doctor.

CONCLUSION

An all-clear diagnosis can influence help seeking for months or even years in case of new or recurrent alarm symptoms. Considering the increasing number of people undergoing investigations and receiving an all-clear, it is paramount to limit unintended consequences by providing appropriate information and support. Specific issues are identified that could be addressed.

Meta-synthesis exploring barriers to health seeking behaviour among Malaysian breast cancer patients

Barriers to health seeking constitute a challenging issue in the treatment of breast cancer. The current meta- synthesis aimed to explore common barriers to health seeking among Malaysian breast cancer patients. From the systematic search, nine studies were found meeting the inclusion criteria. Data extraction revealed that health behavior towards breast cancer among Malaysia women was influenced by knowledge, psychological, sociocultural and medical system factors. In terms of knowledge, most of the Malaysian patients were observed to have cursory information and the reliance on the information provided by media was limiting. Among psychological factors, stress and sense of denial were some of the common factors leading to delay in treatment seeking. Family member's advice, cultural beliefs towards traditional care were some of the common sociocultural factors hindering immediate access to advanced medical diagnosis and care. Lastly, the delay in referral was one of the most common health system-related problems highlighted in most of the studies. In conclusion, there is an immediate need to improve the knowledge and understanding of Malaysian women towards breast cancer. Mass media should liaise with the cancer specialists to disseminate accurate and up-to-date information for the readers and audience, helping in modification of cultural beliefs that hinder timing health seeking. However, such intervention will not improve or rectify the health system related barriers to treatment seeking. Therefore, there is an immediate need for resource adjustment and training programs among health professional to improve their competency and professionalism required to develop an efficient health system.

Appraisal of breast cancer symptoms by Iranian women: entangled cognitive, emotional and socio-cultural responses

BACKGROUND

Breast cancer is the most common cancer in Iranian women and usually features delayed presentation and late diagnosis. Interpretation of symptoms, as the most important step, has a significant impact on patient delay in seeking treatment. There is a dearth of studies on symptom appraisal and the process leading to seeking help in breast cancer patients. This study explored the perceptions and experiences of Iranian women with self-detected possible breast cancer symptoms.

MATERIALS AND METHODS

A qualitative method was conducted involving in-depth semi-structured interviews with 27 Iranian women with self-discovered breast cancer symptoms. Participants were purposefully selected from women who attended Cancer Institute of Tehran University of Medical Sciences during June 2012 to August 2013. The audiotaped interviews were transcribed and analyzed using conventional content analysis with MAXQDA soft ware version 10. The trustworthiness of the study was verified by prolonged engagement, member validation of codes, and thick description.

RESULTS

The main concepts emerging from data analysis were categorized in four categories: symptom recognition, labeling of symptoms, interactive understanding, and confronting the fear of cancer. Symptom recognition through breast self-examination, symptom monitoring and employing prior knowledge distinguished normal from abnormal symptoms and accompanied with perception of being at risk of breast cancer led to symptom labeling. Social interaction by selective disclosure and receiving reassurance from a consultant led to confirmation or redefinition of the situation. Perceived seriousness of the situation and social meanings of breast cancer as a stigmatized and incurable illness associated with loss of femininity were reasons for patient worries and fear.

CONCLUSIONS

This study emphasized that entangled cognitive, emotional and socio-cultural responses affecting understanding of symptom seriousness require further investigation. It is suggested that programs aimed at shortening patient delay in breast cancer should be focused on improving women's knowledge and self-awareness of breast cancer, in addition to correcting their social beliefs.

Effect of specialized diagnostic assessment units on the time to diagnosis in screen-detected breast cancer patients

Background:

The duration of the cancer diagnostic process has considerable influence on patients' psychosocial well-being. Breast diagnostic assessment units (DAUs) in Ontario, Canada are designed to improve the quality and timeliness of care during a breast cancer diagnosis. We compared the diagnostic duration of patients diagnosed through a DAU vs usual care (UC).

Methods:

Retrospective population-based cohort study of 2499 screen-detected breast cancers (2011) using administrative health-care databases linked to the Ontario Cancer Registry. The diagnostic interval was measured from the initial screen to cancer diagnosis. Diagnostic assessment unit use was based on the biopsy and/or surgery hospital. We compared the length of the diagnostic interval between the DAU groups using multivariable quantile regression.

Results:

Diagnostic assessment units had a higher proportion of patients diagnosed within the 7-week target compared with UC (79.1% vs 70.2%, P<0.001). The median time to diagnosis at DAUs was 26 days, which was 9 days shorter compared with UC (95% CI: 6.4–11.6). This effect was reduced to 8.3 days after adjusting for all study covariates. Adjusted DAU differences were similar at the 75th and 90th percentiles of the diagnostic interval distribution.

Conclusions:

Diagnosis through an Ontario DAU was associated with a reduced time to diagnosis for screen-detected breast cancer patients, which likely reduces the anxiety and distress associated with waiting for a diagnosis.

Health system delay and its effect on clinical stage of breast cancer: Multicenter study

BACKGROUND

The objective of this study was to determine the correlation between health system delay and clinical disease stage in patients with breast cancer.

METHODS

This was a cross‐sectional study of 886 patients who were referred to 4 of the largest public cancer hospitals in Mexico City for the evaluation of a probable breast cancer. Data on time intervals, sociodemographic factors, and clinical stage at diagnosis were retrieved. A logistic regression model was used to estimate the average marginal effects of delay on the probability of being diagnosed with advanced breast cancer (stages III and IV).

RESULTS

The median time between problem identification and the beginning of treatment was 7 months. The subinterval with the largest delay was that between the first medical consultation and diagnosis (median, 4 months). Only 15% of the patients who had cancer were diagnosed with stage 0 and I disease, and 48% were diagnosed with stage III and IV disease. Multivariate analyses confirmed independent correlations for the means of problem identification, patient delay, health system delay, and age with a higher probability that patients would begin cancer treatment in an advanced stage.

CONCLUSIONS

In the sample studied, the majority of patients with breast cancer began treatment after a delay. Both patient delays and provider delays were associated with advanced disease. Research aimed at identifying specific access barriers to medical services is much needed to guide the design of tailored health policies that go beyond the promotion of breast care awareness and screening participation to include improvements in health services that facilitate access to timely diagnosis and treatment. Cancer 2015;121:2198–2206.

Both patient delays and provider delays are associated with higher probabilities of patients starting cancer treatment with advanced‐stage disease. Research aimed at identifying specific access barriers to medical services is much needed to guide the design of tailored health policies, especially in developing countries.

Over-reassurance and undersupport after a 'false alarm': a systematic review of the impact on subsequent cancer symptom attribution and help seeking

OBJECTIVES

This literature review examined research into the impact of a previous 'all-clear' or non-cancer diagnosis following symptomatic presentation ('false alarm') on symptom attribution and delays in help seeking for subsequent possible cancer symptoms.

DESIGN AND SETTING

The comprehensive literature review included original research based on quantitative, qualitative and mixed data collection methods. We used a combination of search strategies, including in-depth searches of electronic databases (PubMed, EMBASE, PsychInfo), searching key authors and articles listed as 'related' in PubMed, and reference lists. We performed a narrative synthesis of key themes shared across studies.

PARTICIPANTS

The review included studies published after 1990 and before February 2014 reporting information on adult patients having experienced a false alarm following symptomatic presentation. We excluded false alarms in the context of screening.

PRIMARY AND SECONDARY OUTCOME MEASURES

We evaluated the effect of a 'false alarm' on symptom attribution and help seeking for new or recurrent possible cancer symptoms.

RESULTS

Overall, 1442 papers were screened and 121 retrieved for full-text evaluation. Among them, 19 reported on false alarms and subsequent symptom attribution or help seeking. They used qualitative (n=14), quantitative (n=3) and mixed methods (n=2). Breast (n=7), gynaecological (n=3), colorectal (n=2), testicular (n=2), and head and neck cancers (n=2) were the most studied. Two broad themes emerged underlying delays in help seeking: (1) over-reassurance from the previous 'all-clear' diagnosis leading to subsequent symptoms being interpreted as benign, and (2) unsupportive healthcare experiences in which symptoms were dismissed, leaving patients concerned about appearing hypochondriacal or uncertain about the appropriate next actions. The evidence suggested that the effect of a false alarm can persist for months and even years.

CONCLUSIONS

In conclusion, over-reassurance and undersupport of patients after a false alarm can undermine help seeking in the case of new or recurrent potential cancer symptoms, highlighting the need for appropriate patient information when investigations rule out cancer.

Medicolegal implications of accuracy of GP referral letters to specialist breast clinic

BACKGROUND

Referrals to symptomatic breast clinics have increased significantly in recent years with unchanged numbers of detected cancers. The general practitioner (GP) referral information relating to this increased patient volume causes anxiety and potentially creates confusion and future medicolegal issues if inaccurate.

AIMS

To compare GP triage category requests and clinical findings with those determined by the breast centre.

METHODS

1,014 consecutive referrals to a symptomatic breast service were included. GP triage request category and clinical findings were prospectively recorded and compared to cancer centre surgeon triage category, clinical findings and cancer detection rates.

RESULTS

GPs requested urgent appointments for 49 % of referrals, only 22 % were considered urgent on triage at the cancer centre. The triage category request was downgraded in 56 % of referrals from urgent to routine. Thirty-three cancers were detected, representing 3 % of referrals. Eighty-eight percent of cancers were identified in the group with positive clinical findings at the breast clinic. 24 % of the new referrals were for mastalgia alone. In the 55 % of referred cases where GPs reported a clinical abnormality, only 39 % of these had a clinical finding confirmed by the breast surgeon.

CONCLUSIONS

There is poor correlation between GP triage category request and those assigned by the breast unit. GP referrals indicating patients with a clinical abnormality was discordant with specialist findings in 61% of cases. The frequency of overstating of clinical findings by GPs is such that subsequent cancer diagnosis does not imply failure of a preceding triple assessment process.

Challenges to the early diagnosis and treatment of breast cancer in developing countries

This critical review of the literature assembles and compares available data on breast cancer clinical stage, time intervals to care, and access barriers in different countries. It provides evidence that while more than 70% of breast cancer patients in most high-income countries are diagnosed in stages I and II, only 20%-50% patients in the majority of low- and middle-income countries are diagnosed in these earlier stages. Most studies in the developed world show an association between an advanced clinical stage of breast cancer and delays greater than three months between symptom discovery and treatment start. The evidence assembled in this review shows that the median of this interval is 30-48 d in high-income countries but 3-8 mo in low- and middle-income countries. The longest delays occur between the first medical consultation and the beginning of treatment, known as the provider interval. The little available evidence suggests that access barriers and quality deficiencies in cancer care are determinants of provider delay in low- and middle-income countries. Research on specific access barriers and deficiencies in quality of care for the early diagnosis and treatment of breast cancer is practically non-existent in these countries, where it is the most needed for the design of cost-effective public policies that strengthen health systems to tackle this expensive and deadly disease.

Organizing medical oncology care at a regional level and its subsequent impact on the quality of early breast cancer management: a before-after study

BACKGROUND

One of the main measures of the French national cancer plan is to encourage physicians to work collectively, and to minimize territorial inequities in access to care by rethinking the geographical distribution of oncologists. For this reason, cancer care services are currently being reorganized at national level. A new infrastructure for multidisciplinary cancer care delivery has been put in place in our region. Patients can receive multidisciplinary health care services nearer their homes, thanks to a mobile team of oncologists. The objective of our study was to assess, using a quality approach, the impact on medical management and on the costs of treating early breast cancer, of the new regional structure for cancer care delivery.

METHODS

Before-and-after study performed from 2007 to 2010, including patients treated for early breast cancer in three hospitals in the region of Franche-Comté in Eastern France. The main outcome measures were quality criteria, namely delayed treatment (>12 weeks), dose-intensity and assessment of adjuvant chemotherapy. Other outcomes were 24-month progression-free survival (PFS) and economic evaluation.

RESULTS

This study included 667 patients. The rate of chemotherapy tended to decrease, but not significantly (49.3% before versus 42.2% after, p=0.07), while the use of taxanes increased by 38% across all centres (59.6% before versus 98.0% after, p < 0.0001). There was a non-significant reduction in the time between surgery and adjuvant chemotherapy (6.0 ± 3.0 weeks before versus 5.6 ± 3.6 weeks after, p=0.11). Dose-dense chemotherapy improved slightly, albeit non significantly (86.3% versus 91.1% p=0.22) and time to treatment tended to decrease. The new regional infrastructure did not change 24-month PFS, which remained at about 96%. The average cost of treatment was estimated at € 7000, with no difference between the two periods.

CONCLUSIONS

Despite a shortage of oncologists, the new organization put in place in our region for the provision of care for early breast cancer makes it possible to maintain local community-based treatment, without negative economic consequences. This new structure for cancer care delivery offers cancer services of similar quality with no modification of 24-month PFS in early breast cancer.

Do sintoma ao tratamento adjuvante da mulher com câncer de mama

Estudo descritivo, com abordagem quantitativa, que identificou o perfil social, clínico e demográfico, e o intervalo de tempo entre as etapas diagnósticas e terapêuticas, do sintoma ao tratamento adjuvante das mulheres com câncer de mama tratadas em instituição oncológica de Santa Catarina, Brasil. Os dados foram coletados por entrevista e nos prontuários de treze mulheres, de agosto a dezembro de 2010. A análise foi sustentada por recomendações científicas para tratamento do câncer de mama e estatística descritiva. Os resultados demonstram a incidência elevada da doença nas mulheres entre 40-49 anos, casadas e com escolaridade até o ensino fundamental. A mediana dos intervalos de tempo até o início do tratamento foi de 245 dias e mais 54 dias para a adjuvância. Os achados evidenciam o estadiamento avançado e justificam a urgência para a implementação do cuidado à mulher com câncer de mama e da Política Nacional de Atenção Oncológica.

Factors associated with wait times across the breast cancer treatment pathway in Ontario

BACKGROUND

Longer times from diagnosis to breast cancer treatment are associated with poorer prognosis. This study examined factors associated with wait times by phase in the breast cancer treatment pathway.

METHODS

There were 1760 women eligible for the study, aged 50-69 diagnosed in Ontario with invasive breast cancer from 1995-2003. Multivariate logistic regression examined factors associated with greater than median wait times for each phase of the treatment pathway; from diagnosis to definitive surgery; from final surgery to radiotherapy without chemotherapy and from final surgery to chemotherapy.

RESULTS

The median wait times were 17 days (Inter Quartile Range (IQR) = 0-31) from diagnosis to definitive surgery, 44 days (IQR = 34-56) from final surgery to postoperative chemotherapy and 75 days (IQR = 57-97) from final surgery to postoperative radiotherapy. Diagnosis during 2000-2003 compared to 1995-1999 was associated with significantly longer wait times for each phase of the treatment pathway. Higher income quintile was associated with longer wait time from diagnosis to surgery (OR = 1.47, 95% CI = 1.05-2.06) and shorter wait times from final surgery to radiotherapy (OR = 0.60, 95% CI = 0.37-0.96). Greater stage at diagnosis was associated with shorter wait times from diagnosis to definitive surgery (stage III vs I: OR = 0.49, 95% CI = 0.34-0.71).

CONCLUSIONS

While diagnosis during the latter part of the study period was associated with significantly longer wait times for all phases of the treatment pathway, there were variations in the associations of stage and income quintile with wait times by treatment phase. Continued assessment of factors associated with wait times across the breast cancer treatment pathway is important, as they indicate areas to be targeted for quality improvement with the ultimate goal of improving prognosis.

Understanding barriers to Malaysian women with breast cancer seeking help

Delay in help-seeking behaviour which is potentially preventable has a major effect on the prognosis and survival of patients with breast cancer. The objective of this study was to explore reasons for delay in seeking help among patients with breast cancer from the East Coast of peninsular Malaysia. A qualitative study using face- to-face in-depth interview was carried out involving 12 breast cancer patients who had been histo-pathologically confirmed and were symptomatic on presentation. Respondents were selected purposely based on their history of delayed consultation, diagnosis or treatment. All were of Malay ethnicity and the age range was 26-67 years. Three were in stage ll, seven in stage lll and two in stage lV. At the time of interview, all except one respondent had accepted treatment. The range of consultation time was 0.2-72.2 months with a median of 1.7 months, diagnosis time was 1.4-95.8 months( median 5.4 months )and treatment time was 0-33.3 months (median 1.2 months). The themes derived from the study were poor knowledge or awareness of breast cancer, fear of cancer consequences, beliefs in complementary alternative medicine, sanction by others, other priorities, denial of disease, attitude of wait and see and health care system weakness. Help-seeking behaviour was influenced by a complex interaction of cognitive, environmental, beliefs, culture and psycho-social factors. Breast cancer awareness and psychological counselling are recommended for all patients with breast symptoms to prevent delay in seeking clinical help.

Waiting time disparities in breast cancer diagnosis and treatment: a population-based study in France

Waiting times are key indicators of a health's system performance, but are not routinely available in France. We studied waiting times for diagnosis and treatment according to patients' characteristics, tumours' characteristics and medical management options in a sample of 1494 breast cancers recorded in population-based registries. The median waiting time from the first imaging detection to the treatment initiation was 34 days. Older age, co-morbidity, smaller size of tumour, detection by organised screening, biopsy, increasing number of specimens removed, multidisciplinary consulting meetings and surgery as initial treatment were related to increased waiting times in multivariate models. Many of these factors were related to good practices guidelines. However, the strong influence of organised screening programme and the disparity of waiting times according to geographical areas were of concern. Better scheduling of diagnostic tests and treatment propositions should improve waiting times in the management of breast cancer in France.

Development and validation of a questionnaire to assess delay in treatment for breast cancer

Background

This study reports the reliability and validity of a questionnaire designed to measure the time from detection of a breast cancer to arrival at a cancer hospital, as well as the factors that are associated with delay.

Methods

The proposed questionnaire measures dates for estimation of the patient, provider and total intervals from detection to treatment, as well as factors that could be related to delays: means of problem identification (self-discovery or screening), the patients’ initial interpretations of symptoms, patients’ perceptions of delay, reasons for delay in initial seeking of medical care, barriers perceived to have caused provider delay, prior utilisation of health services, use of alternative medicine, cancer-screening knowledge and practices, and aspects of the social network of support for medical attention. The questionnaire was assembled with consideration for previous research results from a review of the literature and qualitative interviews of patients with breast cancer symptoms. It was tested for face validity, content validity, reliability, internal consistency, convergent and divergent validity, sensitivity and specificity in a series of 4 tests with 602 patients.

Results

The instrument showed good face and content validity. It allowed discrimination of patients with different types and degrees of delay, had quite good reliability for the time intervals (with no significant mean differences between the two measurements), and fairly good internal consistency of the item dimensions (with Cronbach’s alpha values for each dimension between 0.42 and 0.85). Finally, sensitivity and specificity were 74.68% and 48.81%, respectively.

Conclusions

To the best of our knowledge, this is the first published report of the development and validation of a questionnaire for estimation of breast cancer delay and its correlated factors. It is a valid, reliable and sensitive instrument.

Time to diagnosis and breast cancer stage by race/ethnicity

We examined differences in time to diagnosis by race/ethnicity, the relationship between time to diagnosis and stage, and the extent to which it explains differences in stage at diagnosis across racial/ethnic groups. Our analytic sample includes 21,427 non-Hispanic White (White), Hispanic, non-Hispanic Black (Black) and non-Hispanic Asian/Pacific Islander (Asian) women diagnosed with stage I to IV breast cancer between January 1, 2000 and December 31, 2007 at one of eight National Comprehensive Cancer Network centers. We measured time from initial abnormal mammogram or symptom to breast cancer diagnosis. Stage was classified using AJCC criteria. Initial sign of breast cancer modified the association between race/ethnicity and time to diagnosis. Among symptomatic women, median time to diagnosis ranged from 36 days among Whites to 53.6 for Blacks. Among women with abnormal mammograms, median time to diagnosis ranged from 21 days among Whites to 29 for Blacks. Blacks had the highest proportion (26 %) of Stage III or IV tumors. After accounting for time to diagnosis, the observed increased risk of stage III/IV breast cancer was reduced from 40 to 28 % among Hispanics and from 113 to 100 % among Blacks, but estimates remained statistically significant. We were unable to fully account for the higher proportion of late-stage tumors among Blacks. Blacks and Hispanics experienced longer time to diagnosis than Whites, and Blacks were more likely to be diagnosed with late-stage tumors. Longer time to diagnosis did not fully explain differences in stage between racial/ethnicity groups.