Exploring the impact of remoteness on people with head and neck cancer: Utilisation of a state-wide dataset.

OBJECTIVE: Living in regional/rural areas can impact outcomes for people with head and neck cancer (HNC). Using a comprehensive state-wide dataset, the impact of remoteness on key service parameters and outcomes for people with HNC was examined. METHODS: Retrospective quantitative analysis of routinely collected data held within the Queensland Oncology Repository. DESIGN: Quantitative methods (descriptive statistics, multivariable logistic regression and geospatial analysis). SETTING: All people diagnosed with HNC in Queensland, Australia. PARTICIPANTS: The impact of remoteness was examined in 1991 people (1171 metropolitan, 485 inner-regional, 335 rural) with HNC cancer diagnosed between 2013 and 2015. MAIN OUTCOME MEASURES: This paper reports key demographics and tumour characteristics (age, gender, socioeconomic status, First Nations status, co-morbidities, primary tumour site and staging), service use/uptake (treatment rates, attendance at multidisciplinary team review and timing to treatment) and post-acute outcomes (readmission rates, causes of readmission and 2-year survival). In addition to this, the distribution of people with HNC across QLD, distances travelled and patterns of readmission were also analysed. RESULTS: Regression analysis revealed remoteness significantly (p < 0.001) impacted access to MDT review, receiving treatment, and time to treatment commencement, but not readmission or 2-year survival. Reasons for readmission did not differ by remoteness, with dysphagia, nutritional inadequacies, gastrointestinal disorders and fluid imbalance indicated in the majority of readmissions. Rural people were significantly (p < 0.0001) more likely to travel to care and to readmit to a different facility than provided primary treatment. CONCLUSIONS: This study provides new insights into the health care disparities for people with HNC residing in regional/rural areas.

Development of a key performance indicator for breast cancer in Queensland, Australia.

PURPOSE: Using population-based data for women diagnosed with stage I-III breast cancer, our aim was to examine the impact of time to treatment completion on survival and to identify factors associated with treatment delay. METHODS: This retrospective study used clinical and treatment data from the Queensland Oncology Repository. Time from diagnosis to completing surgery, chemotherapy and radiation therapy identified a cut-off of 37 weeks as the optimal threshold for completing treatment. Logistic regression was used to identify factors associated with the likelihood of completing treatment > 37 weeks. Overall (OS) and breast cancer-specific survival (BCSS) were examined using Cox proportional hazards models. RESULTS: Of 8279 women with stage I-III breast cancer, 31.9% completed treatment > 37 weeks. Apart from several clinical factors, being Indigenous (p = 0.002), living in a disadvantaged area (p = 0.003) and receiving ≥ two treatment modalities within the public sector (p < 0.001) were associated with an increased likelihood of completing treatment > 37 weeks. The risk of death from any cause was about 40% higher for women whose treatment went beyond 37 weeks (HR 1.37, 95%CI 1.16-1.61), a similar result was observed for BCSS. Using the surgery + chemotherapy + radiation pathway, a delay of > 6.9 weeks from surgery to starting chemotherapy was significantly associated with poorer survival (p = 0.001). CONCLUSIONS: Several sociodemographic and system-related factors were associated with a greater likelihood of treatment completion > 37 weeks. We are proposing a key performance indicator for the management of early breast cancer where a facility should have > 90% of patients with a time from surgery to adjuvant chemotherapy < 6.9 weeks.

Trends in surgery and adjuvant treatment for early-stage breast cancer: a population-based study in Queensland, Australia.

PURPOSE: Our aim was to describe variations in the treatment of early-stage breast cancer and to examine factors associated with disease-specific survival (DSS). METHODS: The study used linked data for 24,190 women with a T1 (≤ 20 mm) breast cancer who underwent surgery from 2005 to 2019. Multivariate logistic regression was used to model predictors of receiving breast-conserving surgery (BCS) compared to mastectomy and a multinomial model was used to examine factors associated with type(s) of treatment received. RESULTS: Overall, 70.3% had BCS, with a reduced likelihood of BCS observed for younger women (p < 0.001), rural residence, (p < 0.001), socioeconomic disadvantage (p = 0.004), higher tumour grade (p < 0.001) and surgery in a public versus private hospital (p < 0.001). Compared to women who received BCS and radiation therapy (RT), those having mastectomy alone or mastectomy plus RT were more likely to be younger (p < 0.001), live in a rural area (p < 0.001), have higher-grade tumours (p < 0.001) and positive lymph nodes (p < 0.001). Overall 5-year survival was 95.3% and breast cancer-specific survival was 98.3%. Highest survival was observed for women having BCS and RT and lowest for those having mastectomy and RT (p < 0.001). CONCLUSION: Our results indicate some variation in the management of early-stage breast cancer. Lower rates of BCS were observed for rural and disadvantaged women and for those treated in a public or low-volume hospital. Whilst survival was high for this cohort, differences in tumour biology likely explain the differences in survival according to treatment type.

Population-based picture of breast reconstruction in Queensland, Australia.

BACKGROUND: Approximately 40% of women with invasive breast cancer will undergo a mastectomy. Clinical practice guidelines recommend breast reconstruction (BR) options should be discussed with all women who are to undergo a mastectomy. We sought to examine rates of BR, BR methods over time and to identify factors associated with the likelihood of receiving BR in Queensland. METHODS: This population-based study used linked data from the Queensland Oncology Repository for 12 364 women who underwent a mastectomy for invasive breast cancer from 2008 to 2017. Multivariate logistic regression was used to model predictors of immediate breast reconstruction (IBR) and delayed breast reconstruction (DBR). RESULTS: Overall, 2560 (20.7%) women had BR, with 9.8% having IBR and 10.9% having DBR. Factors associated with a reduced likelihood of IBR or DBR included older age (P < 0.001), living in a regional/rural area (P < 0.001) and having a mastectomy in a public versus private hospital (P < 0.001). Median time from mastectomy to DBR was 18.4 and 29.2 months for women attending a private versus public hospital, respectively (P < 0.001). Use of implant-based BR increased significantly with a corresponding decrease in autologous BR over time. CONCLUSIONS: Significant disparities exist in rates of BR between public and private hospitals. Women living in regional and rural areas as well as those aged over 60 years continue to have lower rates of BR. Addressing the health system barriers and developing strategies to improve access to, and uptake of BR should be a priority.

Outcomes following major resection for colorectal cancer in patients aged 65+ years: a population-based study in Queensland, Australia.

BACKGROUND: The risk of developing colorectal cancer (CRC) increases with increasing age. As surgery is the primary treatment for CRC, our aim was to examine outcomes following major resection for CRC in a cohort of individuals aged ≥65 years. METHODS: This population-based retrospective study included 18 339 patients aged ≥65 years diagnosed with CRC from 2007 to 2016. Multivariate logistic regression was used to examine factors associated with the likelihood of having major resection, 30-day mortality and laparoscopic surgical procedure. Cox proportional hazards was used to examine factors associated with risk of death at 2 years post-surgery. RESULTS: Overall, 77.8% (n = 14 274) of patients had a major resection. Males and patients ≥75 years were significantly less likely to have a major resection (P < 0.001 and P < 0.001, respectively). Thirty-day mortality was 3.1% and 2-year overall survival was 78.7%. After adjustment, factors such as increasing age (≥75 years), ≥2 comorbidities, emergency admission, open surgical procedure and treatment in a public hospital were all independently and significantly associated with poorer outcomes. The likelihood a patient had a laparoscopic procedure was significantly lower for those from a disadvantaged area (P < 0.001), emergency admission (P < 0.001) as well as for those treated in a public versus private hospital (P < 0.001). CONCLUSIONS: Post-operative mortality increased, and 2-year survival decreased after age 75 years. The finding of significantly lower rates of laparoscopic surgery for patients from disadvantaged areas and those treated in a public hospital requires further investigation.

Development and implementation of a population-based breast cancer quality index in Queensland, Australia.

BACKGROUND: While quality indicators (QI) are relatively commonplace, QIs focusing on breast cancer treatment and outcomes have not been previously developed in Australia. We describe the development and implementation of the Queensland Breast Cancer Quality Index (BCQI) and report on trends in performance indicators over time. METHODS: Development of the BCQI was overseen by a clinician-led quality assurance committee covering several clinical disciplines. Using a population-based dataset of female patients diagnosed with breast cancer from 2007 to 2016 (n = 27,541) we examined trends in indicators over time. RESULTS: The BCQI includes two quality dimensions (Effective and Accessible) and 14 indicators for public and private cancer services. Rates of re-excision following breast conservation surgery (BCS) and conversion of BCS to mastectomy reduced over time (p < 0.001 and p = 0.005, respectively). BCS was less common for women living outside a major city (p < 0.001), who had their surgery in a public (p < 0.001) or low volume hospital (p < 0.001). CONCLUSIONS: Application of the BCQI at a population-level demonstrated our results are comparable to, and in some cases superior to other jurisdictions. We identified some areas where improvement over time has occurred, while also identifying some outcomes requiring further investigation. POLICY SUMMARY: The BCQI is a well-established and valuable tool for measuring and monitoring breast cancer care. Practice indicators provide useful information to assist with identifying services performing well as well as those that may benefit from improvement.

Breast-cancer mortality in screened versus unscreened women: Long-term results from a population-based study in Queensland, Australia.

OBJECTIVE: In the context of a mature mammographic screening programme, the aim of this population-based study was to estimate rates of breast-cancer mortality among participants versus non-participants in Queensland, Australia. METHODS: The Queensland Electoral Roll was used to identify women aged 50-65 in the year 2000 (n = 269,198). Women with a prior history of invasive or in situ breast cancer were excluded (n = 6,848). The study population was then linked to mammography records from BreastScreen Queensland together with the Wesley Breast Screening Clinic (the largest provider of private screening in Queensland) to establish a screened cohort (n = 187,558) and an unscreened cohort (n = 74,792). Cohort members were matched and linked to cancer notifications and deaths through the state-based Queensland Oncology Repository. Differences in breast-cancer mortality between the two cohorts were measured using Cox proportional hazards regression. RESULTS: After 16 years of follow-up, women in the screened cohort showed a 39% reduction in breast-cancer mortality compared to the unscreened cohort (HR = 0.61, 95%CI = 0.55-0.68). Cumulative mortality over the same period was 0.47% and 0.77% in the screened and unscreened cohorts, respectively. CONCLUSIONS: This study found a significant reduction in breast-cancer mortality for women who participated in mammographic screening compared to unscreened women. Our findings of a breast-cancer mortality benefit for women who have mammographic screening are in line with other observational studies.

Nonbreast cancer incidence, treatment received and outcomes: Are there differences in breast screening attendees versus nonattendees?

While reductions in breast cancer mortality have been evident since the introduction of population-based breast screening in women aged 50-74 years, participation in cancer screening programs can be influenced by several factors, including health system and those related to the individual. In our study, we compared cancer incidence and mortality for several cancer types other than breast cancer, noncancer mortality and patterns of treatment amongst women who did and did not participate in mammography screening. All women aged 50-65 years enrolled on the Queensland Electoral Roll in 2000 were included. The study population was then linked to records from the population-based breast screening program and private fee-for-service screening options to establish screened and unscreened cohorts. Diagnostic details for selected cancers and cause of death were obtained from the Queensland Oncology Repository. We calculated incidence rate ratios and hazard ratios comparing screened and unscreened cohorts. Among screened compared to unscreened women, we found a lower incidence of cancers of the lung, cervix, head and neck and esophagus and an increase in colorectal cancers. Cancer mortality (excluding breast cancer) was 35% lower among screened compared to unscreened women and they were also about 23% less likely to be diagnosed with distant disease. Screened compared to unscreened women were more likely to receive surgery and less likely to receive no treatment. Our study adds further to the population data examining outcomes among women participating in mammography screening.

Validation of the Eighth Edition TNM Lung Cancer Staging System.

INTRODUCTION: We performed a validation study at our institution, the International Union Against Cancer (Union for International Cancer Control latest version of TNM Classification of Malignant Tumors Eighth Edition). METHODS: Data were collected from the Queensland Oncology Online registry of NSCLC or SCLC cases between 2000 and 2015 and validated against the Queensland Integrated Lung Cancer Outcomes Project registry using case identification number, first name, last name, and date of birth. Where data were available, cases were classified according to the Union for International Cancer Control TNM seventh edition stage groupings and then compared with the eighth edition groupings. Kaplan-Meier curves were plotted, and the log-rank test of survival differences was performed with SPSS version 25 (IBM Corp, Armonk, NY). RESULTS: Of the 3636 cases, 3352 and 1031 had complete clinical and pathologic staging, respectively. Median survival time was found to reduce with increasing clinical stage: seventh edition (IA: 88, IB: 44, IIA: 31, IIB: 18, IIIA: 15, IIIB: 8, and IV: 5 mo) versus eighth edition TNM stage (IA1: not reached, IA2: 88, IA3: 53, IB: 56, IIA: 36, IIB: 22, IIIA: 14, IIIB: 9, IIIC: 8, IVA: 6, and IVB: 3 mo). A similar overall pattern was reflected in the pathologic stage: seventh edition (IA: 124, IB: 110, IIA: 48, IIB: 42, IIIA: 26, IIIB: 31, and IV: 27 mo) versus eighth edition (IA1: not reached, IA2: 122, IA3: 125, IB: 144, IIA: 98, IIB: 57, IIIA: 31, IIIB: 24, and IVA: 7 mo). The log-rank test for survival curves was significant at p < 0.001. CONCLUSIONS: Our external validation study confirms the prognostic accuracy of the eighth edition TNM lung cancer classification. Our analyses also indicated that IIIB, IIIC, and IVA stage groups had similar survival outcomes and suggest further research for refinement.

Development and Implementation of a Cancer Quality Index in Queensland, Australia: A Tool for Monitoring Cancer Care.

PURPOSE: Many cancer-specific assessment tools to measure health care performance have been developed. However, reporting on quality indicators at a population level is uncommon. We describe the development and implementation of a Cancer Quality Index (CQI) and examine the sensitivity of the index to detect change over time. METHODS: In developing the CQI, we reviewed existing indices, guidelines, and cancer care pathways. Our choice of indicators was additionally guided by the availability of population-wide data. A series of pilot indicators underwent trial use and were evaluated, and outcomes were discussed before a final set of indicators was established. The process was overseen by a clinician-led quality assurance committee that included hospital administrators and data custodians. RESULTS: The CQI includes five quality dimensions and 16 indicators for public and private cancer services using population-wide information. The following are the five indicators: Effective, Efficient, Safe, Accessible, and Equitable. We demonstrated the sensitivity of the CQI to measure change over time by examining outcomes such as time to first treatment and 30-day surgical mortality, using linked cancer registry and health administrative data for 99,728 patients with cancer diagnosed between 2005 and 2009 and 2010 and 2014. CONCLUSION: The CQI is a valuable tool to track progress in delivering safe, quality cancer care within health care services. Critical to its development and implementation has been the involvement of clinicians from several disciplines and the availability of population-based data. We found the CQI to be a sensitive tool able to detect changes over time.

Outcomes following radical cystectomy: a population-based study from Queensland, Australia.

BACKGROUND: Radical cystectomy (RC) is a complex uro-oncology surgical procedure with high surgical morbidity. We report on outcomes following RC for bladder cancer using a population-based cohort of patients. METHODS: Patients receiving an RC from 2002 to 2016 were included and linked to their cancer-related surgical procedures. Hospitals were categorized as high (>7 RCs/year) and low (≤7 RCs/year). Outcomes included 30- and 90-day mortalities and 2-year overall survival (OS). Multivariable logistic regression models were used to examine factors associated with the outcomes of interest. OS was estimated using the Kaplan-Meier survival function. RESULTS: During the 15-year study period, 1230 patients underwent an RC for invasive bladder cancer. In-hospital mortality was 1.1%, and 30- and 90-day mortality was 1.4% and 2.9%, respectively. Both 30- and 90-day mortalities were significantly higher for older versus younger patients (P = 0.01 and P < 0.001, respectively), and lymph node involvement was significantly associated with 90-day mortality (P = 0.002). Patients treated more recently were about 80% less likely to die within 90 days. The 2-year OS was 71.5%, with significant improvements observed over time (P < 0.001). While we found no evidence of a hospital-volume relationship for post-operative mortality or survival, patients treated in low-volume compared to high-volume hospitals were more likely to have surgical margin involvement (10.9% versus 7.1%, respectively, P = 0.03). CONCLUSION: We observed low post-operative mortality rates overall, with rates decreasing significantly over time. Some subgroups of patients experience poorer post-operative outcomes. Reporting on post-operative outcomes, and survival over time helps monitor clinical progress and identify areas for improvement.

Outcomes After Rectal Cancer Surgery: A Population-Based Study Using Quality Indicators.

Quality indicators are increasingly being used to measure the safety of cancer treatments. We examined factors associated with poorer outcomes after major resection for rectal cancer over time. We linked population-based cancer registry and cancer-related procedure data for rectal cancer cases over a 15-year period. Multivariable logistic regression models were used to examine factors associated with 30- and 90-day postoperative mortality, and overall survival (OS) was estimated using the Kaplan-Meier survival function. The study included 9,222 patients who had major resection for invasive rectal cancer. Thirty-day and 90-day mortality were 2.1% and 3.8%, respectively. Risk of 30-day mortality was elevated in older patients (p < .001); patients with ≥2 comorbidities (p < .001); and those admitted as an emergency (p < .001). An approximate 45% reduction in 30-day mortality (p = .01) was observed over time. Two-year OS was 81.5%, again with significant improvements observed over time (p < .001). No significant association was observed between hospital volume and mortality or 2-year survival. A reduction in rates of postoperative mortality and improved 2-year OS were observed over time. Quality indicators are a valuable tool to monitor clinical outcomes over time and as a means of improving clinical care for all patients.

Outcomes following colorectal cancer surgery: Results from a population-based study in Queensland, Australia, using quality indicators.

RATIONALE, AIMS AND OBJECTIVES: Colorectal cancer (CRC) is one of the most common cancers diagnosed worldwide, and rates are continuing to rise. Surgery is the primary treatment for CRC, and our aim was to examine clinical outcomes following major resection using a series of established quality indicators and to identify factors associated with poor clinical outcomes. METHOD: This population-based retrospective study included 4321 patients with diagnosed with CRC in 2012 and 2014 in Queensland, Australia, who underwent a major resection. Primary outcomes included in-hospital mortality, 30-day unplanned readmission, extended hospital stay (>21 days), and 30- and 90-day mortality. Multivariable logistic regression modelling was conducted to establish factors independently associated with each outcome of interest. RESULTS: Overall, in-hospital mortality was 1.5%, 3.0% had an unplanned readmission, 8% had an extended hospital stay, and 30- and 90-day postoperative mortality was 1.6% and 3.1%, respectively. After adjustment, we found that factors such as older age, presence of comorbidities, emergency admission, and stoma formation were significantly associated with poorer outcomes with these findings being consistent across each of the outcomes of interest. In addition to these factors, the risk of 90-day mortality was significantly elevated for patients with advanced stage disease (OR = 1.95, CI 1.35-2.82). Sex, primary site, hospital volume, residential location, nor socioeconomic status was found to be associated with any of the outcomes of interest. CONCLUSION: Overall, the risk of poorer clinical outcomes for CRC patients in Queensland, Australia, is low. There is however a subgroup of patients at particularly elevated risk of poorer outcomes following CRC. Strategies to reduce the poorer clinical outcomes this group of patients experience should be explored.

Relative survival of patients with lymphoma in Queensland according to histological subtype.

OBJECTIVE: To evaluate relative survival of patients in Queensland with different lymphoma subtypes; to determine whether outcomes have improved with recent changes in treatment; to evaluate relative survival according to place of residence and socio-economic status. DESIGN: Retrospective population-based study; analysis of data from the Oncology Analysis System, an online reporting tool for cancer incidence and outcomes in Queensland. PARTICIPANTS: Patients over 15 years of age diagnosed with lymphoma in Queensland during 1993-2012. MAIN OUTCOME MEASURES: Relative survival by lymphoma subtype; influence of place of residence and socio-economic status, age group, sex, year of diagnosis (in 5-year bands), and Pharmaceutical Benefits Scheme funding of rituximab for treating B-cell lymphomas on relative survival. RESULTS: 9509 people (56% men) were diagnosed with lymphoma during 1993-2012. Five-year relative survival improved significantly between 1993-1997 and 2008-2012 for patients with diffuse large B-cell lymphoma (47%; 95% CI, 42-51% v 64%; 95% CI, 61-67%) or follicular lymphoma (62%; 95% CI, 57-66% v 88%; 95% CI, 85-90%; each P < 0.001). Rituximab became available for treating these subtypes during 2003-2006. There was no change in relative survival for patients with Hodgkin lymphoma (81%; 95% CI, 76-85% v 80%; 95% CI, 75-84%; P = 0.22). The only statistically significant difference according to place of residence or socio-economic status was inferior relative survival for rural residents with diffuse large B-cell lymphoma (hazard ratio, 1.14; 95% CI, 1.01-1.28). CONCLUSION: Relative survival for patients with B-cell non-Hodgkin lymphoma improved significantly with the introduction of rituximab as first-line therapy in Australia.

Automated Cancer Registry Notifications: Validation of a Medical Text Analytics System for Identifying Patients with Cancer from a State-Wide Pathology Repository.

The paper assesses the utility of Medtex on automating Cancer Registry notifications from narrative histology and cytology reports from the Queensland state-wide pathology information system. A corpus of 45.3 million pathology HL7 messages (including 119,581 histology and cytology reports) from a Queensland pathology repository for the year of 2009 was analysed by Medtex for cancer notification. Reports analysed by Medtex were consolidated at a patient level and compared against patients with notifiable cancers from the Queensland Oncology Repository (QOR). A stratified random sample of 1,000 patients was manually reviewed by a cancer clinical coder to analyse agreements and discrepancies. Sensitivity of 96.5% (95% confidence interval: 94.5-97.8%), specificity of 96.5% (95.3-97.4%) and positive predictive value of 83.7% (79.6-86.8%) were achieved for identifying cancer notifiable patients. Medtex achieved high sensitivity and specificity across the breadth of cancers, report types, pathology laboratories and pathologists throughout the State of Queensland. The high sensitivity also resulted in the identification of cancer patients that were not found in the QOR. High sensitivity was at the expense of positive predictive value; however, these cases may be considered as lower priority to Cancer Registries as they can be quickly reviewed. Error analysis revealed that system errors tended to be tumour stream dependent. Medtex is proving to be a promising medical text analytic system. High value cancer information can be generated through intelligent data classification and extraction on large volumes of unstructured pathology reports.

Assessing the Utility of Automatic Cancer Registry Notifications Data Extraction from Free-Text Pathology Reports.

Cancer Registries record cancer data by reading and interpreting pathology cancer specimen reports. For some Registries this can be a manual process, which is labour and time intensive and subject to errors. A system for automatic extraction of cancer data from HL7 electronic free-text pathology reports has been proposed to improve the workflow efficiency of the Cancer Registry. The system is currently processing an incoming trickle feed of HL7 electronic pathology reports from across the state of Queensland in Australia to produce an electronic cancer notification. Natural language processing and symbolic reasoning using SNOMED CT were adopted in the system; Queensland Cancer Registry business rules were also incorporated. A set of 220 unseen pathology reports selected from patients with a range of cancers was used to evaluate the performance of the system. The system achieved overall recall of 0.78, precision of 0.83 and F-measure of 0.80 over seven categories, namely, basis of diagnosis (3 classes), primary site (66 classes), laterality (5 classes), histological type (94 classes), histological grade (7 classes), metastasis site (19 classes) and metastatic status (2 classes). These results are encouraging given the large cross-section of cancers. The system allows for the provision of clinical coding support as well as indicative statistics on the current state of cancer, which is not otherwise available.