Mapping the clinical care pathways for advanced stage non-small cell lung cancer patients in Victoria: A retrospective cohort study of supportive and palliative care.

The lung cancer Optimal Care Pathway recommends supportive care and palliative care integration throughout its various steps, with early referral to appropriate services improving the quality of life in advanced stage non-small cell lung cancer patients. Using Victorian Lung Cancer Registry data and linked administrative datasets, this retrospective cohort study mapped clinical care pathways of 525 Stage III-IV non-small cell lung cancer patients in Victoria to 11 recommendations in the Optimal Care Pathway, identifying unwarranted variations in clinical care. Supportive care and palliative care delivery were further examined to understand the involvement and timing of specialist care teams. Our findings showed that palliative care utilization is highest at the time of treatment, despite recommendations that it should be provided early after diagnosis to improve patient outcomes and satisfaction. Early supportive care screening was observed in half the cohort and almost three-quarters of the patients had been presented at a multidisciplinary meeting. Multidisciplinary meeting presentations and supportive care provide an opportunity to improve communication about palliative care needs and integration into routine clinical practice, such as at the time of treatment planning.

Patterns of care for people with small cell lung cancer in Victoria, 2011-19: a retrospective, population-based registry data study.

OBJECTIVES: To report stage-specific patterns of treatment and the influence of management and treatment type on survival rates for people newly diagnosed with small cell lung cancer (SCLC). DESIGN: Cross-sectional patterns of care study; analysis of data prospectively collected for the Victorian Lung Cancer Registry (VLCR). SETTING, PARTICIPANTS: All people diagnosed with SCLC in Victoria during 1 April 2011 - 18 December 2019. MAIN OUTCOME MEASURES: Stage-specific management and treatment of people with SCLC; median survival time. RESULTS: During 2011-19, 1006 people were diagnosed with SCLC (10.5% of all lung cancer diagnoses in Victoria); their median age was 69 years (interquartile range [IQR], 62-77 years), 429 were women (43%), and 921 were current or former smokers (92%). Clinical stage was defined for 896 people (89%; TNM stages I-III, 268 [30%]; TNM stage IV, 628 [70%]) and ECOG performance status at diagnosis for 663 (66%; 0 or 1, 489 [49%]; 2-4, 174 [17%]). The cases of 552 patients had been discussed at multidisciplinary meetings (55%), 377 people had received supportive care screening (37%), and 388 had been referred for palliative care (39%). Active treatment was received by 891 people (89%): chemotherapy, 843 (84%); radiotherapy, 460 (46%); chemotherapy and radiotherapy, 419 (42%); surgery, 23 (2%). Treatment had commenced within fourteen days of diagnosis for 632 of 875 patients (72%). Overall median survival time from diagnosis was 8.9 months (IQR, 4.2-16 months; stage I-III: 16.3 [IQR, 9.3-30] months; stage IV: 7.2 [IQR, 3.3-12] months). Multidisciplinary meeting presentation (hazard ratio [HR], 0.66; 95% CI, 0.58-0.77), multimodality treatment (HR, 0.42; 95% CI, 0.36-0.49), and chemotherapy within fourteen days of diagnosis (HR, 0.68; 95% CI, 0.48-0.94) were each associated with lower mortality during follow-up. CONCLUSION: Rates of supportive care screening, multidisciplinary meeting evaluation, and palliative care referral for people with SCLC could be improved. A national registry of SCLC-specific management and outcomes data could improve the quality and safety of care.

Persisting Gaps in Optimal Care of Stage III Non-small Cell Lung Cancer: An Australian Patterns of Care Analysis.

BACKGROUND: Wide variation exists globally in the treatment and outcomes of stage III patients with non-small cell lung cancer (NSCLC). We conducted an up-to-date patterns of care analysis in the state of Victoria, Australia, with a particular focus on the proportion of patients receiving treatment with radical intent, treatment trends over time, and survival. MATERIALS AND METHODS: Stage III patients with NSCLC were identified in the Victorian Lung Cancer Registry and categorized by treatment received and treatment intent. Logistic regression was used to explore factors predictive of receipt of radical treatment and the treatment trends over time. Cox regression was used to explore variables associated with overall survival (OS). Covariates evaluated included age, sex, ECOG performance status, smoking status, year of diagnosis, Australian born, Aboriginal or Torres Strait Islander status, socioeconomic status, rurality, public/private status of notifying institution, and multidisciplinary meeting discussion. RESULTS: A total of 1396 patients were diagnosed between 2012 and 2019 and received treatment with radical intent 67%, palliative intent 23%, unknown intent 5% and no treatment 5%. Radical intent treatment was less likely if patients were >75 years, ECOG ≥1, had T3-4 or N3 disease or resided rurally. Surgery use decreased over time, while concurrent chemoradiotherapy and immunotherapy use increased. Median OS was 38.0, 11.1, and 4.4 months following radical treatment, palliative treatment or no treatment, respectively. CONCLUSION: Almost a third of stage III patients with NSCLC still do not receive radical treatment. Strategies to facilitate radical treatment and better support decision making between increasing multimodality options are required.

Development of an Australia and New Zealand Lung Cancer Clinical Quality Registry: a protocol paper.

INTRODUCTION: Lung cancer is the leading cause of cancer mortality, comprising the largest national cancer disease burden in Australia and New Zealand. Regional reports identify substantial evidence-practice gaps, unwarranted variation from best practice, and variation in processes and outcomes of care between treating centres. The Australia and New Zealand Lung Cancer Registry (ANZLCR) will be developed as a Clinical Quality Registry to monitor the safety, quality and effectiveness of lung cancer care in Australia and New Zealand. METHODS AND ANALYSIS: Patient participants will include all adults >18 years of age with a new diagnosis of non-small-cell lung cancer (NSCLC), SCLC, thymoma or mesothelioma. The ANZLCR will register confirmed diagnoses using opt-out consent. Data will address key patient, disease, management processes and outcomes reported as clinical quality indicators. Electronic data collection facilitated by local data collectors and local, state and federal data linkage will enhance completeness and accuracy. Data will be stored and maintained in a secure web-based data platform overseen by registry management. Central governance with binational representation from consumers, patients and carers, governance, administration, health department, health policy bodies, university research and healthcare workers will provide project oversight. ETHICS AND DISSEMINATION: The ANZLCR has received national ethics approval under the National Mutual Acceptance scheme. Data will be routinely reported to participating sites describing performance against measures of agreed best practice and nationally to stakeholders including federal, state and territory departments of health. Local, regional and (bi)national benchmarks, augmented with online dashboard indicator reporting will enable local targeting of quality improvement efforts.

Impacts of lung cancer multidisciplinary meeting presentation: Drivers and outcomes from a population registry retrospective cohort study.

INTRODUCTION: Multidisciplinary Meetings (MDM) are recommended in routine lung cancer care, however its broader impacts demand further evaluation. We assessed the drivers and impacts of MDM presentation in the Victorian Lung Cancer Registry (VLCR). METHODS: We examined the effect of MDM presentation on receipt of treatment and survival in VLCR patients diagnosed between 2011 and 2020. We compared patient characteristics, drivers of MDM discussion and survival between the two groups. RESULTS: Of 9,628 patients, 5,900 (61.3%) were discussed at MDM, 3,728 (38.7%) were not. In the non-MDM group, a lower proportion received surgery (22.1% vs. 31.2%), radiotherapy (34.2% vs. 44.4%) and chemotherapy (44.7% vs. 49.0%). Patients were less likely to be discussed if ≥80 years (OR 0.73, p < 0.001), of ECOG performance status (PS) 4 (OR 0.23, p < 0.001), clinical stage IV (OR 0.34, p < 0.001) or referred from regional (OR 0.52, p < 0.001) or private hospital (OR 0.18, p < 0.001). MDM-presented patients had better median survival (1.70 vs 0.75 years, p < 0.001) and lower adjusted mortality risk (HR 0.75; 0.71-0.80, p < 0.001), a protective effect consistent across all hospital types. Undocumented PS, histopathology and clinical stage were associated with lower likelihood of MDM discussion and worse mortality. CONCLUSIONS: In the VLCR, being male, ≥80 years, of poorer PS, advanced clinical stage and poor clinical characterisation significantly disadvantaged patients in relation to MDM discussion. MDM-discussed patients were more likely to undergo treatment and had a 25% lower risk of mortality. This study supports the use of MDMs in lung cancer and identifies areas of inequity to be addressed.

Measurement properties of the 12-item Short Form Health Survey version 2 in Australians with lung cancer: a Rasch analysis.

BACKGROUND: The 12-item Short-Form Health Survey version 2 (SF-12v2), a widely used, generic patient-reported measure of health status that provides summary scores of physical and mental health. No study to date has examined the measurement properties of the SF-12v2 in patients with lung cancer using Rasch analysis. The aim of this study was to extend the psychometric evaluations of the SF-12 within the lung cancer population to ensure its validity and reliability to assess the health status in this population. METHODS: Participants in the Victorian Lung Cancer Registry (VLCR) who completed the SF-12v2 between 2012 and 2016 were included in this study. The structural validity of the SF-12v2 was assessed using Rasch analysis. Overall fit to the Rasch measurement model was examined as well as five key measurement properties: uni-dimensionality, response thresholds, internal consistency, measurement invariance and targeting. RESULTS: A total of 342 participants completed the SF-12v2 three months following their lung cancer diagnosis. The SF-12 Physical Component Score (PCS-12) did not fit the overall Rasch measurement model (χ2 107.0; p < 0.001). Three items deviated significantly from the Rasch model (item fit residual beyond ± 2.5) with signs of dependency between item responses and disordered thresholds. Nevertheless, the PCS-12 was uni-dimensional with good internal consistency (person separation index [PSI] 0.83) and reasonable targeting. In contrast, the SF-12 Mental Component Score (MCS-12) had good overall model fit (χ2 35.1; p = 0.07), reasonable targeting and good internal consistency (PSI 0.81). CONCLUSIONS: Rasch analysis suggests that there is general support for the reliability of the SF-12v2 as a measure of physical and mental health in people with lung cancer. However, the appropriateness of some items (e.g. pain) in the PCS-12 is questionable and further refinement of the scale including changing the response options may be required to improve the ability of the SF-12v2 to more appropriately assess the health status of this population.

Excess mortality and undertreatment in elderly lung cancer patients: treatment nihilism in the modern era?

Treatment of elderly patients with lung cancer is significantly hindered by concerns about treatment tolerability, toxicity and limited clinical trial data in the elderly; potentially giving rise to treatment nihilism amongst clinicians. This study aims to describe survival in elderly patients with lung cancer and explore potential causes for excess mortality. Patients diagnosed with lung cancer in the Victorian Lung Cancer Registry between 2011-2018 were analysed (n=3481). Patients were age-categorised and compared using Cox-regression modelling to determine mortality risk, after adjusting for confounding. Probability of being offered cancer treatments was also determined, further stratified by disease stage. The eldest patients (≥80 years old) had significantly shorter median survival compared with younger age groups (<60 years: 2.0 years; 60-69 years: 1.5 years; 70-79 years: 1.6 years; ≥80 years: 1.0 years; p<0.001). Amongst those diagnosed with stage 1 or 2 lung cancer, there was no significant difference in adjusted-mortality between age groups. However, in those diagnosed with stage 3 or 4 disease, the eldest patients had an increased adjusted-mortality risk of 28% compared with patients younger than 60 years old (p=0.005), associated with markedly reduced probability of cancer treatment, after controlling for sex, performance status, comorbidities and histology type (OR 0.24, compared with <60 years old strata; p<0.001). Compared to younger patients, older patients with advanced-stage lung cancer have a disproportionately higher risk of mortality and lower likelihood of receiving cancer treatments, even when performance status and comorbidity are equivalent. These healthcare inequities could be indicative of widespread treatment nihilism towards elderly patients.

Victorian Lung Cancer Service Redesign Project: impacts of a quality improvement collaborative on timeliness and management in lung cancer.

BACKGROUND: Lung cancer management is characterised by a high disease burden, poor survival and substantial variation in management and outcomes. Service redesign provides opportunities for quality improvement (QI) and this improvement may be leveraged across multiple sites using QI collaboration. AIM: This initiative targeted Quality Improvement (QI) in lung cancer management, engaging a QI collaborative using service redesign methodologies in five Victorian hospitals. QI targets included timeliness from referral and diagnosis to treatment, multi-disciplinary meeting (MDM) presentation and supportive care screening. Redesign strategies targeted process sustainability through enhanced team capability. METHODS: This study engaged a prospective quality improvement cohort design targeting newly diagnosed tissue confirmed lung cancer with 6-month pre-intervention period and 6-month redesign implementation period, between September 2016 and August 2017, evaluated using Interrupted Time Series Analysis. Hospital sites included three regional and two metropolitan hospitals in Victoria. QI redesign targeted time intervals from referral to first specialist appointment (FSA), referral to diagnosis, diagnosis to first treatment (any intent), MDM documented in medical records and Supportive Care Screening Tool documented in medical records. RESULTS: There was a marked reduction in referral to FSA interval across all sites, with median (interquartile range) falling from 6 (0-15) to 4 (1-10) days, and proportion seen by a specialist within 14 days increased from 74.3% to 84.2%. The interval between diagnosis and treatment was not substantively changed in the 6-month implementation period. The proportion of subjects with documented presentation to the MDM increased from 61% to 67%. The proportion for which Supportive Care Screening documentation remained low at 26.3% post-intervention. CONCLUSIONS: Data-driven redesign initiatives enable identification and analysis of clinical practice variation and may be utilised to enhance timeliness of cancer care and improve local data service capabilities.

Development and piloting of a Checklist for healthy eating And Physical Activity in the Workplace (CEPAW).

To develop and pilot a tool that assesses the infrastructure and policy workplace environment characteristics that may influence employee healthy eating and physical activity behaviours. A checklist was developed with reference to prior tools and piloted at eight worksites. Piloting of the tool demonstrated that it was generally feasible to use, took 1-2 hours to complete and appeared sensitive to differences between workplace environment characteristics. Refinement of the tool occurred after piloting. The final 21-item checklist contains sub-scores capturing policy, infrastructure, healthy eating and physical activity characteristics. This new checklist overcomes some limitations of pre-existing tools as it explicitly considers policy and is short, inexpensive and can be used by workplaces for self-assessment and by health promotion professionals in evaluation studies or as an intervention tool.

Peer support to improve diabetes care: an implementation evaluation of the Australasian Peers for Progress Diabetes Program.

BACKGROUND: Several studies have now demonstrated the benefits of peer support in promoting diabetes control. The aim of this study is to evaluate the implementation of a cluster randomised controlled trial of a group-based, peer support program to improve diabetes self-management and thereby, diabetes control in people with Type 2 Diabetes in Victoria, Australia. METHODS: The intervention program was designed to address four key peer support functions i.e. 1) assistance in daily management, 2) social and emotional support, 3) regular linkage to clinical care, and 4) ongoing and sustained support to assist with the lifelong needs of diabetes self-care management. The intervention participants attended monthly group meetings facilitated by a trained peer leader for 12 months. Data was collected on the intervention's reach, participation, implementation fidelity, groups' effectiveness and participants' perceived support and satisfaction with the intervention. The RE-AIM and PIPE frameworks were used to guide this evaluation. RESULTS: The trial reached a high proportion (79%) of its target population through mailed invitations. Out of a total of 441 eligible individuals, 273 (61.9%) were willing to participate. The intervention fidelity was high (92.7%). The proportion of successful participants who demonstrated a reduction in 5 years cardiovascular disease risk score was 65.1 and 44.8% in the intervention and control arm respectively. Ninety-four percent (94%) of the intervention participants stated that the program helped them manage their diabetes on a day to day basis. Overall, attending monthly group meetings provided 'a lot of support' to 57% and 'moderate' support to 34% of the participants. CONCLUSION: Peer support programs are feasible, acceptable and can be used to supplement treatment for patients motivated to improve behaviours related to diabetes. However, program planners need to focus on the participation component in designing future programs. The use of two evaluation frameworks allowed a comprehensive evaluation of the trial from the provider-, participant- and public health perspective. The learnings gained from this evaluation will guide and improve future implementation by improving program feasibility for adoption and acceptability among participants, and will ultimately increase the likelihood of program effectiveness for the participants. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry (ANZCTR) ACTRN12609000469213 . Registered 16 June 2009.

Eight-month postprogram completion: change in risk factors for chronic disease amongst participants in a 4-month pedometer-based workplace health program.

OBJECTIVE: To evaluate whether participation in a 4-month, pedometer-based, physical activity, workplace health program is associated with long-term sustained improvements in risk factors for type 2 diabetes and cardiovascular disease, 8 months after the completion of the program. DESIGN AND METHODS: A sample size of 720 was required. 762 Australian adults employed in primarily sedentary occupations and voluntarily enrolled in a workplace program were recruited. Demographic, behavioral, anthropometric and biomedical measurements were completed at baseline, 4 and 12 months. RESULTS: About 76% of participants returned at 12 months. Sustained improvements at 12 months were observed for self-reported vegetable intake, self-reported sitting time and independently measured blood pressure. Modest improvements from baseline in self-reported physical activity and independently measured waist circumference at 12 months indicated that the significant improvements observed immediately after the health program could not be sustained. Approximately half of those not meeting guidelines for physical activity, waist circumference and blood pressure at baseline, were meeting guidelines at 12 months. CONCLUSIONS: Participation in this 4-month, pedometer-based, physical activity, workplace health program was associated with sustained improvements in chronic disease risk factors at 12 months. These results indicate that such programs can have a long-term benefit and thus a potential role to play in population prevention of chronic disease.