Patterns and quality of care for head and neck cancer in Belgium: A population-based study.

OBJECTIVES: We evaluated the quality of care for patients with squamous cell carcinoma (SCC) of the oral cavity, oropharynx, hypopharynx or larynx in Belgium. METHODS: Data of the Belgian Cancer Registry were coupled with health insurance data and hospital discharge data. Quality of care and the association with hospital volume were evaluated based on six quality indicators. RESULTS: Half of the patients were treated with primary radiotherapy, with or without systemic therapy (49.7%) and 38.1% with surgery, with or without (neo)adjuvant therapy. Single-modality treatment was provided to 78.1% of early-disease patients. Of the patients with cN0 disease, 56.4% underwent neck dissection. Postoperative radiotherapy was completed timely in 48.5% of patients. Concomitant chemotherapy was administered to 58.2% of patients <70 years with locally advanced disease. Imaging of the neck after radiotherapy was performed appropriately in 32.7% of patients. Variability between centres was considerable. No clear relationship between hospital volume and results of the individual QIs was observed. CONCLUSIONS: Results show that for the measured QIs, targets are not met and variability between centres is considerable. Through individual feedback, centres are motivated to improve the quality of care for head and neck cancer patients in Belgium.

Improved survival in patients with head and neck cancer treated in higher volume centres: A population-based study in Belgium.

OBJECTIVES: The study investigated the association between hospital volume and observed survival of patients with a head and neck squamous cell carcinoma (HNSCC). METHODS: Overall, 9245 patients diagnosed with HNSCC between 2009 and 2014, were identified in the population-based Belgian Cancer Registry. This database was coupled with other databases providing information on diagnostic and therapeutic procedures, vital status, and comorbidities. The overall and relative survival probabilities were estimated using the Kaplan-Meier and the Ederer II methods, respectively. The relation between hospital volume and observed survival since diagnosis was then assessed using Cox proportional hazard models adjusted for potential confounders. RESULTS: The care for patients with HNSCC in Belgium was dispersed over more than 99 centres with half of the centres treating four or less patients with HNSCC per year. Survival probabilities were significantly better for patients treated in higher volume centres (>20 patients/year): the median survival of patients treated in these centres was 1.1 year longer (5.1 versus 4.0 years) than in lower volume centres. This association was confirmed in analyses taking the case-mix between hospitals into account: the hazard to die of any cause decreased on average with 0.4% per increase of one additionally treated patient. Beyond 20 assigned patients per year, there was no further decrease in the hazard to die. CONCLUSIONS: Statistically significant and clinically relevant improved survival probabilities were obtained in patients treated in higher volume centres (>20 patients/year) compared with their peers treated in lower volume centres. This supports the recommendation to concentrate the care for patients with HNSCC in reference centres.

Comorbidity in head and neck cancer: Is it associated with therapeutic delay, post-treatment mortality and survival in a population-based study?

OBJECTIVES: This study aims to investigate the relationship between comorbidities and therapeutic delay, post-treatment mortality, overall and relative survival in patients diagnosed with squamous cell carcinoma of the head and neck (HNSCC). PATIENTS AND METHODS: 9245 patients with a single HNSCC diagnosed between 2009 and 2014 were identified in the Belgian Cancer Registry. The Charlson Comorbidity Index (CCI) was calculated for 8812 patients (95.3%), distinguishing patients having none (0), mild (1-2), moderate (3-4) or severe comorbidity (>4). The relationship between CCI and therapeutic delay was evaluated using the Spearman correlation. Post-treatment mortality was modelled with logistic regression, using death within 30 days as the event. The association between comorbidity and survival was assessed using Cox proportional hazard models. RESULTS: Among 8812 patients with a known CCI, 39.2% had at least one comorbidity. Therapeutic delay increased from 31 to 36 days when the CCI worsened from 0 to 4 (rho = 0.087). After case-mix adjustment, higher baseline comorbidity was associated with increased post-surgery mortality (mild, OR 3.52 [95% CI 1.91-6.49]; severe, OR 18.71 [95% CI 6.85-51.12]) and post-radiotherapy mortality (mild, OR 2.23 [95% CI 1.56-3.19]; severe, OR 9.33 [95% CI 4.83-18.01]) and with reduced overall survival (mild, HR 1.39, [95% CI 1.31-1.48]; severe, HR 2.41 [95% CI 2.00-2.90]). That was also the case for relative survival in unadjusted analyses (mild, EHR 1.77 [95% CI 1.64-1.92]; severe, EHR = 4.15 [95% CI 3.43-5.02]). CONCLUSION: Comorbidity is significantly related to therapeutic delay, post-treatment mortality, 5-year overall and relative survival in HNSCC patients. Therapeutic decision support tools should optimally integrate comorbidity.

Head and Neck Cancer in Belgium: Quality of Diagnostic Management and Variability Across Belgian Hospitals Between 2009 and 2014.

Aims: The study assessed the quality of diagnosis and staging offered to patients with a head and neck squamous cell carcinoma (HNSCC) and the variability across Belgian hospitals. Methods: In total, 9,245 patients diagnosed with HNSCC between 2009 and 2014, were identified in the population-based Belgian Cancer Registry (BCR). The BCR data were coupled with other databases providing information on diagnostic and therapeutic procedures reimbursed by the compulsory health insurance, vital status data, and comorbidities. The use of diagnosis and staging procedures was assessed by four quality indicators (QI) (i.e., use of dedicated head and neck imaging studies, use of PET-CT, TNM reporting and interval between diagnosis and start of treatment), for which a target was defined before the analysis. The association between the binary QIs and observed survival was assessed using Cox proportional hazard models adjusted for potential confounders. Results: Overall, 82.5% of patients received staging by MRI and/or CT of the head and neck region before the start of treatment. In 47.6% of stage III-IV patients eligible for treatment with curative intent, a whole-body FDG-PET(/CT) was performed. The proportion of patients whose cTNM and pTNM stage was reported to the BCR was 80.5 and 78.4%, respectively. The median interval from diagnosis to first treatment with curative intent was 32 days (IQR: 19-46). For none of these QIs the pre-set targets were reached and a substantial variability between centers was observed for all quality indicators. No binary QI was significantly associated with observed survival. Conclusions: The four quality indicators related to diagnosis and staging in HNSCC all showed substantial room for improvement. For none of them the pre-set targets were met at the national level and the variability between centers was substantial. Each Belgian hospital received an individual feedback report in order to stimulate reflection and quality improvement processes.

Association between surgical volume and post-operative mortality and survival after surgical resection in lung cancer in Belgium: A population-based study.

OBJECTIVES: The existence of a relationship between hospital surgical volume and outcome after lung cancer surgery remains an ongoing debate. We aimed to evaluate the association between volume and 60-day mortality, 1- and 3-year observed survival (OS) in non-small cell lung cancer (NSCLC) patients in Belgium. METHODS: Patients diagnosed with NSCLC in 2010-2011 were identified in the database of the Belgian Cancer Registry, excluding patients with multiple tumours. Regression models were applied to assess the relationship between hospital surgical volume, 60-day mortality and 1- and 3-year OS, adjusting for different patient and tumour characteristics. Surgical volume was taken into account as a continuous variable in the models. RESULTS: In 2010-2011 a total of 9,817 patients with NSCLC were diagnosed in Belgium and 2,084 of them underwent surgery. After adjusting for patient and tumour characteristics, a relationship between hospital surgical volume and patients' outcome was found. Postoperative mortality and survival improved with increasing annual surgical volume up to 10 interventions. However, no further gain in outcome has been observed above 10. While the 60-day postoperative mortality is 3.5% for hospitals with an annual volume larger than 10, the predicted mortality rate for a hospital with an annual volume of only 5 interventions is 6.5%. Similar results were observed for 1- and 3-year OS. CONCLUSION: In Belgium, a higher hospital surgical volume is associated with improved outcome in NSCLC patients after surgical resection. Minimally 10 surgical interventions per year seem to be required to achieve an optimal performance.

Use of health insurance data to identify and quantify the prevalence of main comorbidities in lung cancer patients.

BACKGROUND: Identifying comorbidities in lung cancer patients is a complex process in population-based studies and no gold standard exists. The current study aims to identify and measure the main comorbidities using administrative health insurance data, which were available on a population-based level. METHOD: A literature search was conducted to identify comorbidities in lung cancer patients and to select Anatomical Therapeutic Chemical codes to measure them. For each patient, the volume of delivered relevant drugs for each comorbidity in the year preceding the diagnosis of lung cancer was computed, based on the Defined Daily Doses reimbursed. Case definition rules were set by comparing the identification of comorbidities via health insurance data with the reporting of them in the medical files in a sample of hospitals. RESULTS: Four comorbidities were identified: chronic respiratory diseases, chronic cardiovascular diseases, diabetes mellitus and renal diseases. A very good to moderate agreement between the prevalence based on medical files versus health insurance data was obtained for diabetes mellitus (kappa = 0.83), chronic cardiovascular diseases (kappa = 0.64), chronic respiratory diseases (kappa = 0.48) but not for renal diseases (kappa = 0.22). Because only 27% of patients having renal diseases recorded in the medical files were identified using health insurance data, this comorbidity was not withheld. Among 12,839 lung cancer patients diagnosed in 2010-2011 in Belgium, 29.7% had chronic respiratory diseases, 57.5% had chronic cardiovascular diseases and 14.1% had diabetes mellitus. DISCUSSION: This study showed that it was possible to capture three major comorbidities in lung cancer patients using administrative health data, namely, diabetes mellitus, chronic cardiovascular diseases, and chronic respiratory diseases. However, the agreement was only moderate for the last one. A prerequisite for using this methodology is that administrative health data are available for all patients.

Quality of care and variability in lung cancer management across Belgian hospitals: a population-based study using routinely available data.

OBJECTIVE: To evaluate the quality of care for all patients diagnosed with lung cancer in Belgium based on a set of evidence-based quality indicators and to study the variability of care between hospitals. DESIGN, SETTING, PARTICIPANTS: A retrospective study based on linked data from the cancer registry, insurance claims and vital status for all patients diagnosed with lung cancer between 2010 and 2011. Evidence-based quality indicators were identified from a systematic literature search. A specific algorithm to attribute patients to a centre was developed, and funnel plots were used to assess variability of care between centres. INTERVENTION: None. MAIN OUTCOME MEASURE: The proportion of patients who received appropriate care as defined by the indicator. Secondary outcome included the variability of care between centres. RESULTS: Twenty indicators were measured for a total of 12 839 patients. Good results were achieved for 60-day post-surgical mortality (3.9%), histopathological confirmation of diagnosis (93%) and for the use of PET-CT before treatment with curative intent (94%). Areas to be improved include the reporting of staging information to the Belgian Cancer Registry (80%), the use of brain imaging for clinical stage III patients eligible for curative treatment (79%), and the time between diagnosis and start of first active treatment (median 20 days). High variability between centres was observed for several indicators. Twenty-three indicators were found relevant but could not be measured. CONCLUSION: This study highlights the feasibility to develop a multidisciplinary set of quality indicators using population-based data. The main advantage of this approach is that not additional registration is required, but the non-measurability of many relevant indicators is a hamper. It allows however to easily point to areas of large variability in care.

Does switching between strategies within the same task involve a cost?

In two experiments, participants had to switch regularly between two cognitive strategies of a different complexity in the context of a numerosity judgement task. Expt 1 comprised bivalent stimuli (i.e. allowing the application of the two strategies), whereas Expt 2 involved univalent stimuli (i.e. allowing the application of only one strategy). Both experiments revealed that switching between strategies entailed a cognitive cost that was reflected in longer response times on switch compared to non-switch trials but not in reduced accuracy. The size of this switch cost did not differ as a function of strategy complexity but tended to diminish as a strategy became more appropriate for solving a particular problem. We discuss the extent to which current theories of task switching can account for these findings.