Concordance between Optimal Care Pathways and colorectal cancer care: Identifying opportunities to improve quality and reduce disparities

The provision of general surgery in rural Australia: a narrative review

Rural surgery is most commonly provided by general surgeons to the 29% of people (7 million) living in rural Australia. The provision of rural general surgery to enable equitable and safe surgical care for rural Australians is a multifaceted issue concerning recruitment, training, retention, surgical procedures and surgical outcomes. Sustaining the rural general surgical workforce will be dependent upon growing an increased number of resident rural general surgeons, as well as changed models of care, with a need for ongoing review to track the outcomes of these changes. To increase recruitment, rural general surgical training must improve to be less stressful for trainees and to be incorporated alongside a rural-facing generalist curriculum. Rural general surgical outcomes (excluding some oncology conditions) achieve comparable results to metropolitan centres. Access to, and outcomes of, surgical oncology services continues to be inequitable for rural Australians and should be a major focus for improved service delivery.

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.

Measurement of clinical delay intervals among younger adults with colorectal cancer using health administrative data: a population-based analysis

BACKGROUND

Clinical delays may be important contributors to outcomes among younger adults (<50 years) with colorectal cancer (CRC). We aimed to describe delay intervals for younger adults with CRC using health administrative data to understand drivers of delay in this population.

METHODS

This was a population-based study of adults <50 diagnosed with CRC in Ontario, Canada from 2003 to 2018. Using administrative code-based algorithms (including billing codes), we identified four time points along the pathway to treatment-first presentation with a CRC-related symptom, first investigation, diagnosis date and treatment start. Intervals between these time points were calculated. Multivariable quantile regression was performed to explore associations between patient and disease factors with the median length of each interval.

RESULTS

6853 patients aged 15-49 were diagnosed with CRC and met the inclusion criteria. Males comprised 52% of the cohort, the median age was 45 years (IQR 40-47), and 25% had stage IV disease. The median time from presentation to treatment start (overall interval) was 109 days (IQR 55-218). Time between presentation and first investigation was short (median 5 days), as was time between diagnosis and treatment start (median 23 days). The greatest component of delay occurred between first investigation and diagnosis (median 78 days). Women, patients with distal tumours, and patients with earlier stage disease had significantly longer overall intervals.

CONCLUSIONS

Some younger CRC patients experience prolonged times from presentation to treatment, and time between first investigation to diagnosis was an important contributor. Access to endoscopy may be a target for intervention.

Clinical Delays and Comparative Outcomes in Younger and Older Adults with Colorectal Cancer: A Systematic Review

Outcome disparities between adults <50 with colorectal cancer (CRC) and older adults may be explained by clinical delays. This study synthesized the literature comparing delays and outcomes between younger and older adults with CRC. Databases were searched until December 2021. We included studies published after 1990 reporting delay in adults <50 that made comparisons to older adults. Comparisons were described narratively and stage between age groups was meta-analyzed. 39 studies were included representing 185,710 younger CRC patients and 1,422,062 older patients. Sixteen delay intervals were compared. Fourteen studies (36%) found significantly longer delays among younger adults, and nine (23%) found shorter delays among younger patients. Twelve studies compared time from symptom onset to diagnosis (N younger = 1538). Five showed significantly longer delays for younger adults. Adults <50 years also had higher odds of advanced stage (16 studies, pooled OR for Stage III/IV 1.76, 95% CI 1.52-2.03). Ten studies compared time from diagnosis to treatment (N younger = 171,726) with 4 showing significantly shorter delays for younger adults. All studies showing longer delays for younger adults examined pre-diagnostic intervals. Three studies compared the impact of delay on younger versus older adult. One showed longer delays were associated with advanced stage and worse survival in younger but not older adults. Longer delays among younger adults with CRC occur in pre-diagnostic intervals.

Socioeconomic disadvantage and its impact on colorectal cancer in Australia: a scoping review

BACKGROUND

Social disparities in cancer survival have been demonstrated in Australia despite a universal healthcare insurance system. Colorectal cancer is common, and reasons for survival disparities related to socioeconomic status need to be investigated and addressed. The aim is to evaluate the current Australian literature concerning the impact of socioeconomic status on colorectal cancer survival and stage at presentation.

METHODS

A systematic search of PUBMED, EMBASE, SCOPUS and Clarivate Web of Science databases from January 2010 to March 2022 was performed. Studies investigating the impact of socioeconomic status on colorectal stage at presentation or survival in Australia were included. Data were extracted on author, year of publication, state or territory of origin, patient population, other exposure variables, outcomes and findings and adjustments made.

RESULTS

Of the 14 articles included, the patient populations examined varied in size from 207 to 100 000+ cases. Evidence that socioeconomic disadvantage was associated with poorer survival was demonstrated in eight of 12 studies. Evidence of effect on late stage at presentation was demonstrated in two of seven studies. Area-level measures were commonly used to assess socioeconomic status, with varying indices utilized.

CONCLUSION

There is limited evidence that socioeconomic status is associated with late-stage at presentation. More studies provide evidence of an association between socioeconomic disadvantage and poorer survival, especially larger studies utilizing less clinically-detailed cancer registry data. Further investigation is required to analyse why socioeconomic disadvantage may be associated with poorer survival.

Time to diagnosis and treatment in younger adults with colorectal cancer: A systematic review

Background

The incidence of colorectal cancer is rising in adults <50 years of age. As a primarily unscreened population, they may have clinically important delays to diagnosis and treatment. This study aimed to review the literature on delay intervals in patients <50 years with colorectal cancer (CRC), and explore associations between longer intervals and outcomes.

Methods

MEDLINE, Embase, and LILACS were searched until December 2, 2021. We included studies published after 1990 reporting any delay interval in adults <50 with CRC. Interval measures and associations with stage at presentation or survival were synthesized and described in a narrative fashion. Risk of bias was assessed using the Newcastle-Ottawa Scale, Institute of Health Economics Case Series Quality Appraisal Checklist, and the Aarhus Checklist for cancer delay studies.

Results

55 studies representing 188,530 younger CRC patients were included. Most studies used primary data collection (64%), and 47% reported a single center. Sixteen unique intervals were measured. The most common interval was symptom onset to diagnosis (21 studies; N = 2,107). By sample size, diagnosis to treatment start was the most reported interval (12 studies; N = 170,463). Four studies examined symptoms onset to treatment start (total interval). The shortest was a mean of 99.5 days and the longest was a median of 217 days. There was substantial heterogeneity in the measurement of intervals, and quality of reporting. Higher-quality studies were more likely to use cancer registries, and be population-based. In four studies reporting the relationship between intervals and cancer stage or survival, there were no clear associations between longer intervals and adverse outcomes.

Discussion

Adults <50 with CRC may have intervals between symptom onset to treatment start greater than 6 months. Studies reporting intervals among younger patients are limited by inconsistent results and heterogeneous reporting. There is insufficient evidence to determine if longer intervals are associated with advanced stage or worse survival.

Other

This study’s protocol was registered with the Prospective Register of Systematic Reviews (PROSPERO; registration number CRD42020179707).

Inverse optimization on hierarchical networks: an application to breast cancer clinical pathways

Clinical pathways are standardized processes that outline the steps required for managing a specific disease. However, patient pathways often deviate from clinical pathways. Measuring the concordance of patient pathways to clinical pathways is important for health system monitoring and informing quality improvement initiatives. In this paper, we develop an inverse optimization-based approach to measuring pathway concordance in breast cancer, a complex disease. We capture this complexity in a hierarchical network that models the patient's journey through the health system. A novel inverse shortest path model is formulated and solved on this hierarchical network to estimate arc costs, which are used to form a concordance metric to measure the distance between patient pathways and shortest paths (i.e., clinical pathways). Using real breast cancer patient data from Ontario, Canada, we demonstrate that our concordance metric has a statistically significant association with survival for all breast cancer patient subgroups. We also use it to quantify the extent of patient pathway discordances across all subgroups, finding that patients undertaking additional clinical activities constitute the primary driver of discordance in the population.

Implementing Optimal Care Pathways for Aboriginal and Torres Strait Islander People With Cancer: A Survey of Rural Health Professionals’ Self-Rated Learning Needs

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Socioeconomic disparities in colorectal cancer survival: contributions of prognostic factors in a large Australian cohort

Purpose

We quantified the contributions of prognostic factors to socioeconomic disparities in colorectal cancer survival in a large Australian cohort.

Methods

The sample comprised 45 and Up Study participants (recruited 2006–2009) who were subsequently diagnosed with colorectal cancer. Both individual (education attained) and neighbourhood socioeconomic measures were used. Questionnaire responses were linked with cancer registrations (to December 2013), records for hospital inpatient stays, emergency department presentations, death information (to December 2015), and Medicare and Pharmaceutical Benefits claims for subsidised procedures and medicines. Proportions of socioeconomic survival differences explained by prognostic factors were quantified using multiple Cox proportional hazards regression.

Results

1720 eligible participants were diagnosed with colorectal cancer after recruitment: 1174 colon and 546 rectal cancers. Significant colon cancer survival differences were only observed for neighbourhood socioeconomic measure (p = 0.033): HR = 1.55; 95% CI 1.09–2.19 for lowest versus highest quartile, and disease-related factors explained 95% of this difference. For rectal cancer, patient- and disease-related factors were the main drivers of neighbourhood survival differences (28–36%), while these factors and treatment-related factors explained 24–41% of individual socioeconomic differences. However, differences remained significant for rectal cancer after adjusting for all these factors.

Conclusion

In this large contemporary Australian cohort, we identified several drivers of socioeconomic disparities in colorectal cancer survival. Understanding of the role these contributors play remains incomplete, but these findings suggest that improving access to optimal care may significantly reduce these survival disparities.