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. 2022 Aug 20;12:430–449. doi: 10.1016/j.xjon.2022.08.004

Time to treatment of esophageal cancer in Ontario: A population-level cross-sectional study

Nader M Hanna a,b,, Paul Nguyen c, Wiley Chung d, Patti A Groome b,c,e
PMCID: PMC9801289  PMID: 36590728

Abstract

Objective

Timely cancer treatment improves survival and anxiety for some sites. Patients with esophageal cancer require specific workup before treatment, which can prolong the time from diagnosis to treatment (treatment interval [TI]). The geographical variation of this interval remains uninvestigated in patients with esophageal cancer.

Methods

This retrospective population-level study conducted in Ontario used linked administrative health care databases. Patients treated for esophageal cancer between 2013 and 2018 were included. The TI was time from diagnosis to treatment. Patients were assigned a geographical Local Health Integration Network on the basis of postal code. Covariates included patient, disease, and diagnosing physician characteristics. Quantile regression modeled TI length at the 50th and 90th percentile and identified associated factors.

Results

Of 7509 patients, 78% were male and most were aged between 60 and 69 years. The 50th and 90th percentile TI was 36 (interquartile range, 22-55) and 77 days, respectively. The difference between the Local Health Integration Network with the longest and shortest TI at the 50th and 90th percentile was 18 and 25 days, respectively. Older age (P < .0001), greater comorbidity (P = .0005), greater material deprivation (P = .001), rurality (P = .03), histology (P = .02), and treatment group (P < .0001) were associated with a longer median TI. Older age (P = .03), greater comorbidity (P = .003), greater material deprivation (P = .005), rurality (P = .04), and treatment group (P < .0001) were associated with a longer 90th percentile TI.

Conclusions

Geographic variability of time to treatment exists across Ontario. Investigation of facility-level differences is warranted. Patient and disease factors are associated with longer wait times. These results might inform future health care policy and resource allocation.

Key Words: esophageal cancer, treatment interval, epidemiology, geographical variability

Abbreviations and Acronyms: AC, adenocarcinoma; ADG, Aggregated Diagnosis Group; CIHI, Canadian Institute for Health Information; ED, Emergency Department; ICES, Institute for Clinical Evaluative Sciences; IQR, interquartile range; LHIN, Local Health Integration Network; NACRS, National Ambulatory Care Reporting System; OCR, Ontario Cancer Registry; PCCF, Postal Code Conversion File; SCC, squamous cell carcinoma; TI, treatment interval

Graphical abstract

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Geographical variability exists in the length of the esophageal cancer treatment interval.

Central Message.

Despite adjusting for numerous confounding variables, geographic variability exists in the time to treatment of esophageal cancer.

Perspective.

Esophageal cancer management is a complex, multistep process. In Ontario, health regions coordinate the care of their own patients. We found differences in time to first health care encounter and time to treatment between health regions, despite adjusting for numerous covariates. Older, comorbid, and rurally located patients waited longer than others.

Timely access to cancer treatment has improved survival outcomes for many disease sites,1,2 and reduced anxiety3 and symptom progression while patients await treatment. Patients require time to accommodate staging investigations and specialist visits before treatment begins. Expediting these is crucial in patients with esophageal cancer because of the number of patients who present with locally advanced disease.

Between 2005 and 2010, Ontario Health Cancer Care Ontario regionalized thoracic cancer management. Only hospitals that maintained adequate surgical volumes for lung and esophageal resection, including the appropriate personnel and equipment, received funding to manage these patients.4 They postulated that having 1 institution centralize the workup and treatment of esophageal cancer in that region might reduce the number of missed appointments, repeat investigations, and therefore reduce the overall time between diagnosis and treatment (treatment interval [TI]).5 Since regionalization, little has been reported on wait times for esophageal cancer treatment in Ontario.

Few studies have examined subintervals within the TI. One research group6,7 partitioned the TI of patients with breast, lung, colon, or rectal cancer into time from diagnosis to the first oncologist consult, and time from the first oncologist consult to treatment. These subintervals have not yet been investigated for esophageal cancer in Canada.

A detailed understanding of the esophageal cancer TI might help improve equitable access to necessary investigations and treatments. Knowledge of the subinterval that contributes most to the TI might inform refinements to the patient pathway and resource allocation. In this study, we aimed to describe the lengths of the TI and subintervals, to investigate the geographical variation of the TI across Ontario, and to evaluate factors associated with the length of those intervals in Ontario esophageal cancer patients.

Methods

Study Design

We conducted a population-level cross-sectional study using linked administrative health care databases housed at Institute for Clinical Evaluative Sciences (ICES). ICES is an independent, nonprofit research institute funded by an annual grant from the Ontario Ministry of Health and the Ministry of Long-Term Care. As a prescribed entity under Ontario's privacy legislation, ICES is authorized to collect and use health care data for the purposes of health system analysis, evaluation, and decision support. Secure access to these data is governed by policies and procedures that are approved by the Information and Privacy Commissioner of Ontario. In Canada, health care is delivered under a universal government-funded system. A population of 14.7 million residents makes Ontario the most inhabited Canadian province. This study was approved by the Research Ethics Board of Queen's University (approval number 6030561; approval date: October 5, 2020).

Data Sources

Patients were identified in the Ontario Cancer Registry (OCR), a province-wide database that captures >96% of all incident cancers.8 The OCR was linked to other health administrative databases to obtain demographic, disease, billing, and outcomes data. We used the Registered Persons Database, National Ambulatory Care Reporting System (NACRS), Discharge Abstract Database, Ontario Health Insurance Plan (OHIP), Same Day Surgery, Postal Code Conversion File (PCCF), Local Health Integration Network (LHIN),9 Ontario Marginalisation Database, Immigration, Refugees, and Citizenship Canada Permanent Resident Database, Activity Level Reporting, and ICES Physician Database (Table E1). These databases were linked using unique encoded identifiers at ICES.

Study Population

Adult patients diagnosed with incident esophageal cancer between 2013 and 2018 who received treatment were included. Cancer site was identified using topography codes; histology was not restricted (Table E2). Patients were excluded if there was no biopsy procedure, if there was no investigation or consultation between diagnosis and treatment, or if treatment was <4 days or 6 months after diagnosis (Figure 1). Less than 4 days was chosen to exclude patients who presented emergently and had expedited treatment and so were unlikely to have followed the Cancer Care Ontario treatment pathway,10 and has been previously reported.11

Figure 1.

Figure 1

Cohort creation. OHIP, Ontario Health Insurance Plan; ICES, Institute for Clinical Evaluative Sciences.

TIs

TI length was defined as the number of days from diagnosis to the first treatment. Secondary outcomes were the length of subinterval 1 (time from diagnosis to the first cancer-related event thereafter) and subinterval 2 (time from the first cancer-related event to treatment). The first cancer-related event could be either a specialist visit or an investigation (Table E3).

Date of Diagnosis

We first identified the diagnosis date in the OCR, and then used NACRS, Canadian Institute for Health Information (CIHI), and Ontario Health Insurance Plan billing date to identify the date of an endoscopic biopsy within 2 weeks of the OCR date. For those with a biopsy record on the same day as the OCR, this date was assigned the diagnosis date. For the remainder, the earliest biopsy date was used. For those for whom the biopsy date was >2 weeks before or after the corresponding OCR date, we used that OCR date as the diagnosis date.

Covariates

Age and sex were categorized. Comorbidity information was gathered from 6 to 30 months before the diagnosis date and categorized on the basis of the Johns Hopkins Aggregated Diagnosis Groups (ADGs). The ADGs were created using the Johns Hopkins ACG System v10.0.1 (build 879). Rurality was dichotomized into urban/rural using the PCCF. LHINs are geographical health regions within Ontario tasked to fund and distribute health care to residents living within their borders.9 During the study period, there were 14 LHINs. Each patient was assigned a LHIN depending on their postal code at diagnosis using the PCCF and LHIN databases. Material deprivation is an objective marker of socioeconomic status12,13 and is widely used in health services research. We used the Ontario Marginalisation Database to assign each patient a dissemination area via the PCCF using their postal code on the day of diagnosis. Each patient was given a score, and then categorized into quintiles, with quintile 1 being the least deprived. Recent immigration was labeled as yes or no depending on whether the number of years from the date of landing to the diagnosis date was 5 years or less. Histology and tumor location were categorized. Stage was defined using the American Joint Committee on Cancer eighth edition.14 First, we used the OCR to identify the best stage information for each patient. The OCR uses an algorithm that provides the stage from a pathological diagnosis if available. If no such diagnosis exists, the algorithm assigns stage on the basis of radiology results, followed by cancer center patient chart entries. Second, we created a separate stage variable for those with missing OCR stage using individual American Joint Committee on Cancer eighth edition T, N, and M categories from the Activity Level Reporting. Diagnosing physician characteristics included specialty (if there was more than one specialty then “mainspecialty” was used), years in practice, and academic affiliation. We operationalized health care utilization as the use of the emergency department (ED) and/or a hospital admission between diagnosis and treatment.

Statistical Analyses

Descriptive statistics were used to describe baseline demographic characteristics. We conducted bivariate analyses of each independent variable against the 50th and 90th percentile of the TI and subintervals using nonparametric tests. We used multivariable quantile regression models, adjusting simultaneously for patient factors, disease factors, treatment group, and LHIN. We used stage in the sensitivity analyses described in the following paragraph. All data processing and analyses were performed at ICES Queen's using the SAS software version 9.4 (SAS Institute Inc).

We conducted 6 sensitivity analyses on the adjusted quantile regression analysis. The first removed LHIN from the original model to determine if LHIN-based patient characteristic variations had distorted the patient characteristic associations. For the second, third, and fourth, immigration and rurality, separately then combined, were removed from the original model to assess whether those variables influenced the LHIN effects. The fifth removed the treatment group from the original model to assess the independence of the other factors from treatment. Last, we added stage to the original model to assess its effect on those associations.

Results

Of 7822 patients diagnosed with esophageal cancer, 7509 patients had a recorded biopsy procedure, and 6042 received at least 1 treatment modality. After exclusions, the final study cohort comprised 5759 patients (Table 1). Most patients were male (77.6%), had a total ADG of between 4 and 6 (32.3%), were not recent immigrants (93.5%), lived in an urban area (84.6%), had adenocarcinoma (AC; 71.6%), and had lower esophagus (39.9%) or gastroesophageal junction (39.8%) tumors. Staging was as follows: I: 5.1%, II: 9.6%, III: 14.8%, IV: 23.9%, and missing: 46.7%. Gastroenterologists diagnosed the most cancers (41.3%). Chemoradiotherapy was the most common first treatment modality (26.8%).

Table 1.

Patient, disease, diagnosing physician, health care system, and health care utilization characteristics of Ontario patients with esophageal cancer between 2013 and 2018

Cohort characteristic Number of patients (%)
Age group, y
 18-49 296 (5.1)
 50-59 1105 (19.1)
 60-69 1923 (33.3)
 70-79 1596 (27.6)
 ≥80 855 (14.8)
Sex
 Female 1293 (22.4)
 Male 4482 (77.6)
Sum of minor AGDs
 0 338 (5.9)
 1-2 1054 (18.2)
 3-4 1481 (25.7)
 5-6 1421 (24.6)
 ≥7 1481 (25.7)
Sum of major ADGs
 0 2097 (36.3)
 1 1799 (31.2)
 2 1048 (18.2)
 ≥3 831 (14.4)
Total number of ADGs
 0 288 (5.0)
 1-3 1346 (23.3)
 4-6 1866 (32.3)
 7-9 1309 (22.7)
 ≥10 966 (16.7)
Recent immigration
 No 5401 (93.5)
 Yes 374 (6.5)
Material deprivation
 Least deprived 1075 (18.6)
 2 1155 (20.0)
 3 1130 (19.6)
 4 1176 (20.4)
 Most deprived 1198 (20.7)
 Unknown 41 (0.7)
Rurality
 Rural 884 (15.3)
 Urban 4885 (84.6)
 Unknown 6 (0.1)
Calendar year of diagnosis
 2013 930 (16.1)
 2014 892 (15.5)
 2015 957 (16.6)
 2016 948 (16.4)
 2017 1002 (17.4)
 2018 1046 (18.1)
Histology
 Adenocarcinoma 4133 (71.6)
 Squamous cell carcinoma 1195 (20.7)
 Other 447 (7.7)
Tumor site
 Cervical esophagus 94 (1.6)
 Upper esophagus 192 (3.3)
 Middle esophagus 564 (9.8)
 Lower esophagus 2305 (39.9)
 Gastroesophageal junction 2298 (39.8)
 Other 322 (5.6)
Stage
 I 294 (5.1)
 II 552 (9.6)
 III 852 (14.8)
 IV 1382 (23.9)
 Unknown 2695 (46.7)
Diagnosing physician main specialty
 Gastroenterology 2384 (41.3)
 General surgery 1777 (30.8)
 Thoracic surgery 584 (10.1)
 Other 554 (9.6)
 Unknown 476 (8.2)
Diagnosing physician years in practice
 1-9 247 (4.3)
 10-14 835 (14.5)
 15-19 592 (10.3)
 20-24 512 (8.9)
 25-29 452 (7.8)
 ≥30 451 (7.8)
 Unknown 2686 (46.5)
Diagnosing physician academic affiliation
 No 3462 (60.6)
 Yes 1484 (25.7)
 Unknown 829 (14.4)
LHIN of residence at diagnosis
 01 345 (6.0)
 02 523 (9.1)
 03 323 (5.6)
 04 832 (14.4)
 05 246 (4.3)
 06 375 (6.5)
 07 374 (6.5)
 08 496 (8.6)
 09 674 (11.7)
 10 307 (5.3)
 11 517 (9.0)
 12 281 (4.9)
 13 353 (6.1)
 14 129 (2.2)
Treatment group
 Endoscopy with or without subsequent treatment 543 (9.4)
 Chemotherapy only 792 (13.7)
 Radiotherapy only 1177 (20.4)
 Surgery with or without subsequent treatment 571 (9.9)
 Chemotherapy and radiotherapy 1550 (26.8)
 Chemotherapy or radiotherapy then surgery 164 (2.8)
 Chemotherapy and radiotherapy then surgery 733 (12.7)
 Other 245 (4.2)
ED visits between diagnosis and treatment
 0 4911 (85.0)
 1 661 (11.4)
 >1 203 (3.6)
Hospital admissions between diagnosis and treatment
 0 4228 (73.2)
 1 1323 (22.9)
 >1 224 (3.9)

ADG, Aggregate diagnostic group; LHIN, Local Health Integration Network; ED, Emergency Department.

Length of TI and Subintervals

The median TI length was 36 days (interquartile range [IQR], 22-55 days) and the 90th percentile was 77 days (Figure 2). The subinterval 1 median length was 2 days (IQR, −3 to 10 days; 90th percentile, 20 days); the subinterval 2 median length was 34 days (IQR, 20-51 days; 90th percentile, 73 days).

Figure 2.

Figure 2

Box and whisker plot depicting the distribution of the Ontario esophageal cancer treatment interval between 2013 and 2018. Upper whisker = maximum observation excluding outliers; lower whisker = minimum observation excluding outliers; upper box bar = 75th percentile; lower box bar = 25th percentile; middle box bar = 50th percentile; dots = outliers (observations outside 1.5 times interquartile range).

Geographical differences were seen (Figures 3 and 4, Table 2). The difference between the LHINs with the longest and shortest TI at the 50th and 90th percentile was 18 and 25 days, respectively. Except LHIN 14, all exhibited similar distributions of width and skew, suggesting similar variability within each LHIN. Both subinterval lengths differed across LHINs (P < .0001).

Figure 3.

Figure 3

Box and whisker plot showing the comparison of the esophageal cancer treatment interval length distribution among LHINs in Ontario between 2013 and 2018. Upper whisker = maximum observation excluding outliers; lower whisker = minimum observation excluding outliers; upper box bar = 75th percentile; lower box bar = 25th percentile; middle box bar = 50th percentile; dots = outliers (observations outside 1.5 times interquartile range). LHIN, Local Health Integration Network.

Figure 4.

Figure 4

Different distributions of the esophageal cancer treatment interval length among Local Health Integration Networks in Ontario between 2013 and 2018. Upper whisker = maximum observation excluding outliers; lower whisker = minimum observation excluding outliers; upper box bar = 75th percentile; lower box bar = 25th percentile; middle box bar = 50th percentile; dots = outliers (observations outside 1.5 times interquartile range).

Table 2.

Lengths of the treatment interval, subinterval 1, and subinterval 2 at the 50th and 90th percentile according to category of associated factors in Ontario patients with esophageal cancer between 2013 and 2018

Variable Treatment interval
Subinterval 1
Subinterval 2
50th (IQR) 90th 50th (IQR) 90th 50th (IQR) 90th
Whole cohort 36 (22-55) 77 2 (−3 to 10) 20 34 (20-51) 73
LHIN P < .0001 P < .0001 P < .0001 P < .0001 P < .0001 P < .0001
 01 33 (21-49) 71 1 (−3 to 8) 18 32 (17-48) 65
 02 40 (23-57) 82 4 (−2 to 12) 22 35 (20-54) 79
 03 40 (27-59) 81 4 (−3 to 10) 20 38 (25-56) 77
 04 30 (19-48) 71 2 (−5 to 9) 20 30 (17-47) 65
 05 39 (26-55) 79 2 (−4 to 8) 19 37 (23-56) 76
 06 44 (27-63) 93 1 (−2 to 9) 21 38 (24-59) 89
 07 37 (22-55) 80 1 (−6 to 8) 20 37 (22-55) 79
 08 30 (16-49) 68 3 (−2 to 11) 20 28 (14-44) 65
 09 37 (22-56) 71 3 (−4 to 11) 19 34 (21-50) 71
 10 46 (29-63) 82 7 (−1 to 15) 24 38 (22-55) 75
 11 42 (27-58) 83 3 (−2 to 11) 19 39 (24-55) 77
 12 28 (17-41) 69 1 (−3 to 10) 21 26 (14-40) 70
 13 35 (20-53) 72 1 (−3 to 9) 18 34 (20-50) 66
 14 41 (26-60) 88 2 (−4 to 8) 17 38 (26-53) 77
Age group, y P = .01 P < .0001 P = 1.00 P = .002 P < .0001 P < .0001
 18-49 30 (15-45) 67 1 (−2 to 7) 14 28 (14-44) 64
 50-59 35 (21-54) 73 3 (−3 to 9) 19 33 (19-49) 69
 60-69 36 (22-54) 75 2 (−4 to 10) 19 35 (21-50) 71
 70-79 38 (23-57) 80 3 (−4 to 11) 21 36 (22-54) 76
 ≥80 36 (20-58) 84 3 (−2 to 11) 21 32 (16-53) 78
Sex P = .30 P = .37 P = .07 P = .37 P = 1.00 P = .25
 Female 37 (22-55) 75 3 (−3 to 11) 20 34 (19-50) 70
 Male 36 (22-55) 78 2 (−3 to 10) 19 34 (20-51) 75
Sum of minor ADGs P < .0001 P < .0001 P = .0005 P < .0001 P < .0001 P < .0001
 0 32 (17-49) 67 0 (−3 to 7) 13 31 (17-48) 63
 1-2 35 (21-51) 71 2 (−3 to 9) 17 33 (20-49) 65
 3-4 35 (22-53) 75 2 (−2 to 10) 18 33 (19-48) 70
 5-6 38 (23-57) 80 3 (−3 to 11) 20 35 (21-54) 76
 ≥7 39 (23-58) 85 3 (−4 to 12) 24 35 (21-54) 79
Sum of major ADGs P = .009 P < .0001 P = .55 P = .0006 P = .11 P < .0001
 0 35 (21-50) 69 2 (−2 to 9) 16 33 (20-48) 67
 1 36 (21-56) 76 2 (−3 to 10) 20 34 (20-52) 73
 2 38 (23-59) 82 3 (−3 to 12) 22 35 (20-55) 78
 ≥3 39 (22-62) 87 2 (−4 to 13) 24 35 (20-56) 79
Total ADGs P < .0001 P < .0001 P = .05 P < .0001 P = .0015 P < .0001
 0 33 (18-49) 65 0 (−2 to 7) 13 33 (19-47) 63
 1-3 34 (20-50) 71 2 (−3 to 9) 16 32 (19-48) 65
 4-6 37 (22-55) 77 3 (−2 to 10) 19 34 (20-50) 73
 7-9 37 (23-56) 78 3 (−3 to 12) 21 35 (20-53) 76
 ≥10 40 (23-62) 91 2 (−5 to 13) 25 36 (20-57) 81
Recent immigration P = .64 P = .25 P = .14 P = .35 P = .08 P = .28
 No 36 (22-55) 77 2 (−3 to 10) 20 34 (20-51) 73
 Yes 37 (21-56) 83 1 (−5 to 9) 19 37 (20-54) 79
Material deprivation P = .49 P = .88 P = .73 P = .69 P = .09 P = .06
 Least deprived 36 (22-54) 80 3 (−3 to 11) 20 34 (20-50) 73
 2 36 (22-53) 76 2 (−3 to 10) 21 33 (19-49) 68
 3 36 (22-55) 76 2 (−3 to 10) 19 35 (20-52) 73
 4 36 (22-54) 76 2 (−3 to 9) 19 33 (21-50) 74
 Most deprived 37 (22-58) 80 2 (−3 to 11) 20 36 (20-55) 76
Rurality P = .46 P = .16 P = 1.00 P = 1.00 P = .16 P = .13
 Rural 37 (23-58) 83 3 (−3 to 11) 20 35 (21-54) 79
 Urban 36 (21-54) 76 2 (−3 to 10) 20 34 (20-50) 71
Year of diagnosis P = .56 P = .98 P = .31 P = .55 P = .48 P = .82
 2013 36 (21-57) 79 4 (−2 to 11) 21 34 (19-51) 73
 2014 35 (21-53) 76 2 (−3 to 9) 17 34 (20-50) 73
 2015 36 (22-55) 76 2 (−3 to 9) 20 34 (20-50) 77
 2016 35 (20-55) 78 2 (−4 to 11) 21 33 (20-51) 74
 2017 38 (23-56) 78 2 (−3 to 11) 20 35 (20-53) 74
 2018 37 (22-54) 77 2 (−3 to 10) 19 33 (21-49) 71
Histology P = .02 P = .11 P < .0001 P = .01 P = .27 P = .18
 Adenocarcinoma 37 (22-56) 79 3 (−2 to 11) 21 34 (20-51) 75
 Squamous cell carcinoma 35 (22-52) 73 1 (−4 to 9) 18 34 (20-50) 70
 Other 29 (16-51) 69 0 (−7 to 7) 15 32 (18-49) 68
Tumor site P = .16 P = .0006 P < .0001 P = .05 P = .83 P = .46
 Cervical esophagus 34 (19-47) 63 0 (−7 to 4) 16 34 (19-49) 66
 Upper esophagus 35 (23-52) 81 2 (−3 to 10) 17 34 (21-49) 77
 Middle esophagus 37 (21-56) 72 2 (−5 to 10) 19 34 (20-51) 70
 Lower esophagus 36 (22-55) 75 3 (−2 to 10) 19 34 (20-50) 72
 Gastroesophageal junction 36 (22-56) 81 2 (−3 to 11) 21 34 (20-52) 76
 Other 32 (19-53) 76 0 (−8 to 9) 19 32 (18-53) 75
Stage P < .0001 P < .0001 P < .0001 P < .0001 P < .0001 P < .0001
 I 48 (35-66) 101 7 (0-15) 27 42 (27-61) 85
 II 43 (29-60) 79 5 (0-13) 21 37 (25-55) 75
 III 42 (27-57) 75 4 (0-9) 18 37 (24-54) 72
 IV 28 (17-44) 63 1 (−5 to 8) 14 28 (17-44) 63
 Unknown 36 (21-56) 80 2 (−4 to 11) 23 34 (19-52) 77
Specialty P < .0001 P = .07 P < .0001 P < .0001 P < .0001 P < .0001
 Gastroenterology 37 (22-56) 79 4 (0-12) 21 33 (18-50) 73
 General surgery 38 (24-56) 77 4 (−1 to 11) 19 34 (21-50) 70
 Thoracic surgery 33 (18-49) 77 −7 (−19 to 0) 8 41 (26-60) 84
 Other 29 (17-49) 71 2 (−2 to 9) 19 28 (16-45) 65
Years in Practice P = .14 P = .0004 P = .03 P = .03 P = .03 P = .002
 1-9 37 (24-58) 81 3 (−2 to 9) 19 36 (21-52) 77
 10-14 35 (22-51) 70 2 (−4 to 9) 19 34 (21-49) 68
 15-19 38 (23-57) 75 3 (−2 to 10) 18 35 (21-52) 71
 20-24 37 (23-56) 82 4 (−3 to 12) 21 33 (21-51) 73
 25-29 35 (20-53) 77 3 (−2 to 12) 21 31 (18-47) 70
 ≥30 37 (22-56) 76 2 (−1 to 13) 22 34 (18-48) 70
 Unknown 36 (21-56) 79 2 (−4 to 10) 19 34 (20-53) 76
Academic affiliation P = .08 P = .26 P < .0001 P = .47 P = .22 P = .02
 No 37 (22-55) 77 3 (−1 to 11) 20 34 (20-50) 70
 Yes 35 (20-55) 78 0 (−9 to 8) 19 35 (20-52) 77
Treatment group P < .0001 P < .0001 P < .0001 P < .0001 P < .0001 P < .0001
 A 23 (14-36) 50 5 (0-13) 21 16 (7-30) 48
 B 39 (24-60) 87 0 (−7 to 8) 17 39 (26-57) 79
 C 29 (16-49) 73 0 (−7 to 7) 15 29 (17-48) 71
 D 58 (38-82) 111 7 (−4 to 18) 31 50 (34-77) 101
 E 36 (22-55) 74 2 (−3 to 9) 18 34 (21-50) 67
 F 40 (26-54) 63 3 (−1 to 10) 20 35 (21-48) 65
 G 40 (28-52) 64 5 (0-11) 18 35 (26-48) 59
 H 39 (26-50) 63 8 (0-15) 35 28 (14-42) 60
ED visits P < .0001 P < .0001 P = .10 P = 1.0000 P < .0001 P < .0001
 0 35 (21-52) 73 2 (−3 to 10) 20 33 (19-48) 69
 1 45 (26-67) 91 2 (−3 to 9) 20 42 (24-62) 91
 >1 54 (31-76) 99 1 (−5 to 7) 19 48 (31-72) 98
Hospital admissions P = .004 P < .0001 P < .0001 P < .0001 P < .0001 P < .0001
 0 36 (22-54) 76 4 (−3 to 12) 21 33 (20-49) 70
 1 35 (20-56) 79 1 (−3 to 6) 14 35 (20-54) 76
 >1 48 (29-73) 106 0 (−5 to 3) 13 48 (32-71) 109

50th, 50th percentile; IQR, interquartile range; 90th, 90th percentile; LHIN, Local Health Integration Network; ADG, Aggregate Diagnostic Group; ED, Emergency Department.

Subinterval 1 = diagnosis to first health care encounter.

Subinterval 2 = first health care encounter to treatment start.

Treatment group: A = endoscopy with or without subsequent treatment; B = chemotherapy only; C = radiotherapy only; D = surgery with or without subsequent treatment; E = chemotherapy and radiotherapy; F = chemotherapy or radiotherapy then surgery; G = chemotherapy and radiotherapy then surgery; and H = other.

Differences remained between LHINs after adjusting for confounding. The biggest change was seen in LHIN 12, which had a 5-day longer median TI (−11 to −6 days longer than the referent group). The remainder demonstrated change of 3 days or less in median TI, suggesting minimal confounding by other covariates in those LHINs.

Bivariate Analysis of Associated Factors

Younger patients (18-49 years) had shorter median TIs than older patients (70-79 years); 30 days (IQR, 15-45) versus 38 days (IQR, 23-57 days; P = .01). Those with a total ADG score of ≥10 waited a median of 40 days (IQR, 23-62 days) versus 33 days (IQR, 18-49 days) for those with no comorbidity. The median TI did not differ statistically on the basis of sex (P = .30), immigration (P = .64), rurality (P = .46), nor deprivation (P = .49).

Those with histology other than AC or squamous cell carcinoma (SCC) had a shorter median TI (29 days; IQR, 16-51 days) than those with AC (37 days; IQR, 22-56 days) or SCC (35 days; IQR, 22-52 days). Cancer stage was inversely proportional to the median and 90th percentile of the TI length; stage I, 48 days (IQR, 35-66 days) versus stage IV, 28 days (IQR, 17-44 days; P < .0001).

Patients diagnosed by a thoracic surgeon had a shorter median TI; 33 days (IQR, 18-49 days) compared with those diagnosed by a general surgeon; 38 days (IQR, 24-56 days) or gastroenterologist; 37 days (IQR, 22-56 days). However, those diagnosed by a physician in the “other” category had the shortest median (29 days) and the 90th percentile (71 days) TI. There was no statistical difference in median TI regarding the number of years the diagnosing physician had been in practice (P = .13), however there was a difference at the 90th percentile (P = .0004; 10-14 years, 70 days vs 20-24 years, 82 days). Academic affiliation was not associated with the median (P = .08) or 90th percentile (P = .26) TI length. The median and 90th percentile TI was longer in patients who had one or more ED visits or hospital admissions between diagnosis and treatment; >1 ED visit, 54 days (IQR, 31-76 days) versus 0 ED visits, 35 days (IQR, 21-52 days); >1 admission, 48 days (IQR, 29-73 days) versus 0 admissions, 36 days (IQR, 22-54 days).

Adjusted Regression Analysis of Associated Factors

In the adjusted models (Table 3), age, comorbidity, deprivation, rurality, histology, and LHIN were associated with statistical differences in the median TI length. There was a 9-day difference in the age variable between those with the longest (≥80 years old) and shortest TI (18-49 years old). The remainder of the variables that showed statistical adjusted differences had differences of <5 days.

Table 3.

Unadjusted and adjusted differences of the treatment interval at the 50th and 90th percentile according to category in Ontario patients with esophageal cancer between 2013 and 2018

Variable 50th Percentile
90th Percentile
Unadjusted difference (95% CI) Adjusted difference (95% CI) Unadjusted difference (95% CI) Adjusted difference (95% CI)
Adjusted intercept 38 (35-42) 55 (45-65)
Age P = .03 P < .0001 P < .0001 P = .03
 Unadjusted intercept 37 (35-38) 75 (72-78)
 18-49 −3 (−7 to 1) −7 (−10 to −4) −10 (−19 to −1) −6 (−14 to 2)
 50-59 −1 (−3 to 1) −2 (−3 to 0) 1 (−5 to 7) 2 (−2 to 6)
 60-69 Referent Referent Referent Referent
 70-79 3 (0-6) 2 (1-4) 7 (2-12) 4 (0-7)
 ≥80 0 (−3 to 3) 2 (0-5) 11 (5-17) 6 (0-12)
Sex P = .31 P = .69 P = .35 P = .96
 Unadjusted intercept 38 (36-40) 77 (73-81)
 Female Referent Referent Referent Referent
 Male −1 (−3 to 1) 0 (−1 to 2) 2 (−2 to 6) 0 (−4 to 4)
Sum of minor ADGs P < .0001 P = .0005 P < .0001 P = .39
 Unadjusted intercept 35 (34-36) 71 (67-75)
 0-2 Referent Referent Referent Referent
 3-4 0 (−2 to 2) 0 (−2 to 2) 4 (−2 to 10) 2 (−2 to 6)
 5-6 5 (3-7) 3 (1-5) 9 (3-15) 3 (−1 to 8)
 ≥7 5 (3-7) 3 (1-6) 15 (9-21) 4 (−1 to 9)
Sum of major ADGs P = .02 P = .70 P < .0001 P = .003
 Unadjusted intercept 36 (35-40) 71 (68-74)
 0 Referent Referent Referent Referent
 1 1 (−1 to 3) 1 (−1 to 2) 7 (3-11) 4 (0-8)
 2 2 (−1 to 5) 1 (−1 to 4) 12 (6-18) 8 (3-13)
 ≥3 4 (1-7) 1 (−1 to 3) 17 (11-24) 11 (4-17)
Material deprivation P = .33 P = .001 P = .78 P = .005
 Unadjusted intercept 36 (34-38) 80 (75-85)
 1 Referent Referent Referent Referent
 2 0 (−2 to 2) 1 (−1 to 4) −4 (−12 to 4) −3 (−8 to 2)
 3 1 (−1 to 3) 3 (1-6) −2 (−9 to 5) 1 (−4 to 6)
 4 1 (−1 to 3) 3 (1-5) −2 (−8 to 4) 2 (−4 to 7)
 5 3 (−0 to 6) 4 (2-7) 0 (−7 to 7) 5 (0-11)
Rurality P = .45 P = .04 P = .15 P = .04
 Unadjusted intercept 37 (36-38) 78 (75-80)
 Urban Referent Referent Referent Referent
 Rural 1 (−2 to 4) 2 (0 to 4) 5 (−2 to 12) 6 (0-11)
Recent immigration P = .62 P = .15 P = .27 P = .78
 Unadjusted intercept 37 (36-38) 78 (76-80)
 No Referent Referent Referent Referent
 Yes 1 (−3 to 4) 2 (−1 to 5) 5 (−4 to 14) 1 (−6 to 8)
Histology P = .007 P = .02 P = .15 P = .23
 Unadjusted intercept 38 (37-39) 80 (78-82)
 Adenocarcinoma Referent Referent Referent Referent
 Squamous cell carcinoma −1 (−3 to 1) −1 (−3 to 2) −5 (−10 to 0) −4 (−9 to 1)
 Other −6 (−10 to −2) −5 (−8 to −2) −3 (−11 to 5) −2 (−8 to 5)
Tumor location P = .19 P = .22 P = .0007 P = .10
 Unadjusted intercept 37 (36-38) 83 (80-86)
 Cervical esophagus −3 (−11 to 5) −3 (−9 to 3) −12 (−26 to 2) −9 (−23 to 4)
 Upper esophagus −2 (−5 to 1) 0 (−4 to 4) −8 (−21 to 5) −3 (−15 to 18)
 Middle esophagus 0 (−3 to 3) 1 (−2 to 4) −10 (−17 to 3) −1 (−9 to 6)
 Lower esophagus 0 (−2 to 2) −1 (−2 to 1) −8 (−12 to −4) −4 (−8 to 0)
 Gastroesophageal junction Referent Referent Referent Referent
 Other −5 (−9 to −1) −3 (−6 to 0) −0 (−12 to 12) 4 (−6 to 13)
LHIN P < .0001 P < .0001 P = .0002 P < .0001
 Unadjusted Intercept 39 (36-41) 78 (72-84)
 01 −6 (−10 to −2) −6 (−10 to −2) −4 (−14 to 6) −9 (−17 to 1)
 02 0 (−3 to 4) −2 (−5 to 1) 4 (−6 to 14) −2 (−11 to 6)
 03 3 (0-7) 3 (−1 to 7) 3 (−5 to 11) −1 (−8 to 6)
 04 −7 (−10 to −3) −8 (−11 to −5) −7 (−15 to 1) −12 (−18 to −7)
 05 0 (−4 to 5) −2 (−7 to 2) 0 (−18 to 18) −1 (−10 to 9)
 06 5 (1-9) 4 (0-8) 14 (2-26) 7 (−1 to 16)
 07 −1 (−4 to 3) −2 (−6 to 1) 3 (−8 to 14) −3 (−11 to 4)
 08 −4 (−8 to 0) −4 (−7 to −1) −1 (−11 to 9) −3 (−10 to 4)
 09 Referent Referent Referent Referent
 10 7 (3-11) 6 (1-11) 2 (−8 to 16) −2 (−10 to 5)
 11 3 (−1 to 7) 2 (0 to 5) 5 (−2 to 12) −1 (−9 to 7)
 12 −11 (−14 to −7) −6 (−9 to −2) −7 (−19 to 5) −2 (−12 to 8)
 13 −5 (−8 to −2) −8 (−12 to −5) −7 (−16 to 2) −12 (−18 to −6)
 14 1 (−5 to 7) 1 (−5 to 3) 11 (−4 to 26) −9 (−19 to 1)
Treatment group P < .0001 P < .0001 P < .0001 P < .0001
 Unadjusted Intercept 41 (39-43) 64 (60-68)
 A −17 (−20 to −14) −16 (−19 to −14) −9 (−18 to −1) −16 (−22 to −10)
 B 0 (−3 to 3) 0 (−3 to 3) 27 (20-34) 21 (14-27)
 C −10 (−13 to −7) −11 (−13 to −8) 13 (7-19) 6 (0-13)
 D 15 (12-18) 15 (12-18) 45 (35-55) 37 (29-44)
 E −4 (−7 to −2) −3 (−5 to −1) 10 (5-15) 8 (4-12)
 F −1 (−6 to 4) −2 (−7 to 3) −3 (−13 to 7) 0 (−9 to 9)
 G Referent Referent Referent Referent
 H −2 (−6 to 2) −2 (−5 to 2) 0 (−8 to 8) −4 (−10 to 2)

CI, Confidence interval; ADG, Aggregate Diagnostic Group; LHIN, Local Health Integration Network.

Treatment group: A = endoscopy with or without subsequent treatment; B = chemotherapy only; C = radiotherapy only; D = surgery with or without subsequent treatment; E = chemotherapy and radiotherapy; F = chemotherapy or radiotherapy then surgery; G = chemotherapy and radiotherapy then surgery; and H = other.

At the 90th percentile, age, comorbidity, material deprivation, rurality, LHIN, and treatment group were associated with differences in the TI length. Those who underwent endoscopic resection (alone or initially) waited 53 days less for treatment compared with those who underwent surgery (alone or initially). Patients aged ≥80 years waited 12 days longer for treatment than those aged 18-49 years old. Those with 3 or more comorbidities waited 11 days longer than those without any comorbidities. Patients living in the most materially deprived areas waited 6 days longer than those in the least deprived areas, and those in rural locations waited 6 days longer than their urban counterparts. Rurality and material deprivation variables became significant in the adjusted analysis at both percentiles.

Sensitivity Analyses

At the 50th percentile, only the exclusion of LHIN and immigration affected other variables, resulting in rurality no longer being significant compared with the original model (Table E4). At the 90th percentile, in 4 of the 6 sensitivity analyses, deprivation and rurality became insignificant, whereas number of minor comorbidities and disease histology and site became significant. The addition of stage resulted in age and rurality no longer being significant but did not affect other variables (Table E5).

Discussion

The key finding of this study was an absolute difference of 18 and 25 days between the LHINs with the longest and shortest median and 90th percentiles, respectively. Furthermore, we identified those who are older, more comorbid, and diagnosed by a physician other than a thoracic surgeon to be vulnerable patient populations that might be more at risk of a prolonged TI.

In contrast to our results, in one Ontario study15 it was reported that the median time to treatment was 46 days (IQR, 29-66 days) in 79% of their patients. Our cohorts were created differently, which might explain the difference. We labeled the day of diagnosis as the date of endoscopic biopsy if one was available (>80%), and the date of diagnosis in the OCR otherwise, whereas those authors used the OCR date as the day of diagnosis for all. In an older study16 a median wait time from esophageal cancer diagnosis to surgery of 32 days, was reported, but that study's cohort was restricted only to patients who underwent surgery, and the study period was 1984 to 2000, which preceded the provincial regionalization of thoracic cancer services. In contrast, our cohort included patients who had treatment modalities other than surgery. This difference might explain why our median TI was shorter, because the patients in our study who underwent surgery first had a longer TI than those who had another treatment before surgery. A more recent study from the United States17 calculated a median time to surgery of 54 days in patients with cT1N0M0 esophageal carcinoma who underwent surgery from 2004 to 2015. This also corroborates our findings that patients with an early-stage cancer, or patients having surgery as their first treatment modality, have a longer TI than others.

We found variability across LHINs in all time intervals, at the 50th and 90th percentile. The goal of regionalization was to provide optimal patient care for those who require specialist services, regardless of their location in the province.5 An Ontario study from 201318 demonstrated that median wait times for lung cancer treatment did not shorten over the period from 2007 to 2011, but there was a reduction in 30-day mortality after pneumonectomy. All LHINs have a thoracic center located within their borders except one. One LHIN contains 3 thoracic centers. Neither of these 2 LHINs had the shortest or longest TI, suggesting the difference is explained by factors other than regionalization. Our sensitivity analyses (Tables E4 and E5) showed persistent LHIN differences at the 50th and 90th percentiles, suggesting there might be systemic inefficiencies meriting further study. Table E6 shows the distribution of patient factors within each LHIN.

At the 50th percentile, older, more comorbid, nonurban, and patients living in the most deprived areas waited up to 9 days, 3 days, 2 days, and 4 days longer than their counterparts, respectively. These differences were greater at the 90th percentile (12 days, 11 days, 6 days, and 5 days, respectively). Despite being statistically significant, these differences might not be clinically meaningful on survival19 but they likely affect patient anxiety levels3 and symptom progression. These associations are consistent with previously published literature on other cancer sites. Gillis and colleagues20 reported that older patients, those living in rural areas, and those with a lower income had a longer wait time to colorectal cancer surgery in Ontario than others. Kulkarni and colleagues21 also reported that older age and more severe comorbidity burden were associated with a longer wait time for urology cancer treatment. Bardell and colleagues16 also reported that increasing age, decreasing household income, and female sex were predictors of longer wait times between diagnosis and surgery for a cohort comprised of 12 different cancers, but did not stratify their analysis on the basis of cancer type. Possible reasons for differences according to patient characteristics have been postulated. Elderly patients might have more missed or rescheduled appointments, which might contribute to a longer TI.22,23 Those living in rural locations might struggle to keep appointments that require a long travel distance.22,23 Patients living in an area of higher material deprivation, which we used as a surrogate for individual-level socioeconomic status, might miss appointments because of difficulty getting time off work or paying for transport to their appointments.24

Many previous studies have restricted their cohorts to patients with AC or SCC.17,25, 26, 27, 28 It is unclear why histological subtypes other than AC or SCC would have a shorter TI. Rare diagnoses are more likely to be brought to the multidisciplinary team for discussion and this might expedite pretreatment investigations and specialist visits. Patients with a stage IV cancer had a TI that was 20 days shorter than those with a stage I cancer. At the 90th percentile, this difference increased to 38 days. Previous studies conducted in Ontario have shown the same phenomenon in other cancer sites.29, 30, 31, 32, 33 Large population studies from the United States have also shown the same effect in a range of different solid organ cancers.34,35 Possible explanations exist. First, patients with a later stage are more likely to have symptoms from their disease than those with early-stage cancers. At the system level, symptomatic patients might have their investigations and specialist visits expedited because of the concerning symptom severity. Second, there might be a lower sense of urgency with lower-stage cancers, and in a resource-constrained health care system, those with a higher stage will likely take priority for investigations and treatment. Third, possible treatment options vary between stage I and stage IV. Most stage IV patients will undergo palliative treatment that does not include surgery.36 Our results have shown that patients who are receiving radiotherapy alone have a much shorter TI length than those who undergo surgery.

Patients diagnosed by a thoracic surgeon had a shorter TI than those diagnosed by a gastroenterologist or a general surgeon. Those latter patients will be referred to a thoracic surgeon for a consultation; patients diagnosed by a thoracic surgeon might have that consultation at the same time as the diagnosis, thereby skipping a step on the clinical pathway and shortening the interval.

Patients who had one or more ED visits or hospital admissions between diagnosis and treatment had a longer median TI than those who had neither. These patients might have been too sick to undergo their cancer treatment and require treatment of the illness that prompted the ED visit or admission first.

Strengths and Limitations

To our knowledge, this is the first Ontario-wide population-level study to include such an extensive number of risk factors for a prolonged TI including the assessment of its geographical variation. Previous Ontario studies were either performed on a heterogenous cohort of cancer patients16 or did not assess differences in TI length according to geography.15 By partitioning the TI into 2 distinct subintervals, we also identified other potentially modifiable risk factors that were not present on analysis of the overall TI. We used routinely collected health administrative data that allowed us to study the entire esophageal cancer population in Ontario during our time frame. Mandatory submissions from all hospitals in the province to CIHI and NACRS decreases the likelihood of institutions being over-represented. Our definition of the diagnosis date is more refined than in previous studies that used the cancer registry date as the diagnosis date. We used the date of endoscopic biopsy to create a TI definition that was as accurate as possible, and is in line with national efforts to standardize time intervals.7 Last, our results are generalizable to other countries because we have found specific patient groups more at risk of longer intervals that transcend geography. Although the magnitude of differences might be specific to Ontario, the wait time variation is unlikely to be on clinical grounds and is generalizable to regions with similar health care models.

Stage was only 54% complete despite capturing data from several databases. A recent study using the same databases15 had similar completeness. The sensitivity analysis that included stage showed that stage had no effect on the association of the other variables at the 50th percentile. The unknown group had a longer TI than stage IV patients, but shorter than the others (stage I-III) and are likely to be stage IV patients, receive nonsurgical treatment,15 and were equal across all LHINs. There was uncontrolled confounding by using administrative databases. Patient factors not included that might have affected the TI length include a patient's social situation (eg, access to reliable public transportation).

Conclusions

To our knowledge, this population-level study is the first to investigate the esophageal cancer TI length across different LHINs and examine numerous factors. We identified geographical variation despite adjusting for several factors. Patients who are older, more comorbid, or in rural areas are at greater risk for protracted wait times. Future research will be aimed at investigating an association between wait times and survival in our study population.

Conflict of Interest Statement

The authors reported no conflicts of interest.

The Journal policy requires editors and reviewers to disclose conflicts of interest and to decline handling or reviewing manuscripts for which they may have a conflict of interest. The editors and reviewers of this article have no conflicts of interest.

Acknowledgments

Parts of this material are on the basis of data and information compiled and provided by CIHI, Ontario Health, and Immigration, Refugees and Citizenship Canada current to May 2017. The analyses, conclusions, opinions, statements, results, and views expressed herein are solely those of the authors and do not reflect those of the funding or data sources; no endorsement is intended or should be inferred.

Footnotes

This study received funding from United Hospitals Kingston Foundation. This study was supported by ICES, which is funded by an annual grant from the Ontario Ministry of Health and the Ministry of Long-Term Care.

Appendix E1

Table E1.

Health administrative databases used in this study to obtain demographic, disease, billing, and outcomes data

Database Description
Ontario Cancer Registry Cancer information, including site, histology, and diagnosis date
Registered Persons Database Patient demographic data including age, sex, vital status, and dates of last health care encounter
Ontario Health Insurance Plan Database Physician billing database for inpatient and outpatient services, including diagnoses, services provided, and dates
Discharge Abstract Database Mandatory submissions from hospitals to the Canadian Institute for Health Information; includes information on hospital admission such as dates and diagnoses
Same Day Surgery Database Stores information such as date and service for same-day procedures
National Ambulatory Care Reporting Database Receives mandatory submissions from institutions for visits made to hospital and community ambulatory care centers
PCCF Converts a patient's postal code into a dissemination area to ascribe certain characteristics to each patient such as rurality and median household income
Activity Level Reporting Stores information on chemotherapy and radiotherapy dates and services, at regional centers and outreach clinics
LHIN Stores information including population and number and type of hospitals within each LHIN
Ontario Marginalisation This database comprises separate elements (eg, material deprivation) and is used in conjunction with PCCF to assign patients a score
IRCC Permanent Resident Database This includes information on people who applied to land in Ontario such as country of citizenship and date of landing
ICES Physician Database Demographic information on Ontario physicians including age, specialty, location of work, and year of graduation

PCCF, Postal Code Conversion File; LHIN, Local Health Integration Network; IRCC, Immigration, Refugees, and Citizenship Canada; ICES, Institute for Clinical Evaluative Sciences.

Table E2.

ICD-O-3 codes for morphology and topography

Description Code
Adenocarcinoma 8140-8141, 8143-8145, 8190-8231, 8260-8263, 8310, 8401, 8480-8490, 8550-8551, 8570-8574, 8576
Squamous cell carcinoma 8050-8078, 8083-8084
Other 80001-80003, 80103, 80203, 80223, 80303, 80313, 81482, 81490, 84903, 85603
C15.0 Cervical esophagus
C15.1 Thoracic esophagus
C15.2 Abdominal esophagus
C15.3 Upper third of esophagus
C15.4 Middle third of esophagus
C15.5 Lower third of esophagus
C15.8 Overlapping lesion of esophagus
C15.9 Esophagus, NOS
C16.0 Cardia, NOS
  • Gastric cardia

  • Cardioesophageal junction

  • Esophagogastric junction

Gastroesophageal junction

NOS, Not otherwise specified.

Table E3.

Codes for diagnosis, consultations, investigations, and treatment

Event Code Data source
Biopsy 2NA71, 2NC70BN CCI
Z515, Z399, +E702 OHIP fee
150 OHIP diagnosis code
Consultations
Surgery A643-A646, C643-C646, W645, W646 OHIP
Medical oncology A441-A448, A845, C441-C446, C845, W445, W446, W842-W847
Radiation oncology A340-A348, A745, C341-C346, C745
Investigations
CT (C/A/P) X125, X406, X407/X126, X409, X410/X231, X232, X233 OHIP
CT (head) X188, X400, X401, X402, +E874
PET J710
EUS S236, E800
PFTs J301, J303, J304, J305, J306, J308, J310, J311, J324, J327, J340
Treatment
Endoscopic resection S093, Z527, +E674/E675 OHIP
Chemotherapy G281, G339, G345, G359, G381, G382
Radiotherapy 519, 530-542, 548, 549, 575, 592, 594, 596, 597 ALR
Surgery X310-X313 OHIP
1NA87-1NA92 CCI
S089, S090 OHIP

CCI, Canadian Classification of Health Information; OHIP, Ontario Health Insurance Plan; CT, computed tomography; C/A/P, chest, abdomen, pelvis; PET, positron emission tomography; EUS, endoscopic ultrasound; PFT, pulmonary function test; ALR, Activity Level Reporting.

Table E4.

Comparison of original model with SA

Original model SA.1 SA.2 SA.3 SA.4§ SA.5 SA.6
Adjusted intercept 38 (35-42) 37 (34-40) 38 (34-42) 38 (35-42) 38 (34-42) 35 (31-39) 41 (37-46)
Age P < .0001 P < .0001 P < .0001 P < .0001 P < .0001 P < .0001 P < .0001
 18-49 −7 (−10 to −4) −6 (−10 to 13) −7 (−10 to 5) −7 (−10 to −5) −7 (−10 to −5) −5 (−8 to −2) −6 (−9 to −3)
 50-59 −1 (−4 to 0) −2 (−4 to 0) −2 (−4 to 0) −2 (−4 to 0) −2 (−4 to 1) −2 (−4 to 0) −1 (−3 to 1)
 60-69 Referent Referent Referent Referent Referent Referent Referent
 70-79 2 (1-4) 3 (1-4) 2 (0-4) 2 (1-4) 3 (1-4) 2 (0-4) 2 (0-3)
 ≥80 2 (0-5) 3 (1-6) 2 (−1 to 4) 2 (0-5) 2 (−1 to 5) −1 (−4 to 2) 3 (0-5)
Sex P = .70 P = .81 P = .79 P = .80 P = .82 P = .91 P = .39
 Female Referent Referent Referent Referent Referent Referent Referent
 Male 0 (−1 to 2) 0 (−2 to 2) 0 (−2 to 2) 0 (−1 to 2) 0 (1−2) 1 (−2 to 2) 2 (−1 to 2)
Sum of minor ADGs P = .0005 P = .0005 P = .004 P = .0002 P = .001 P = .0006 P = .0007
 0-2 Referent Referent Referent Referent Referent Referent Referent
 3-4 0 (−2 to 2) −1 (−3 to 2) 0 (−2 to 2) 0 (−2 to 2) 0 (−2 to 2) 0 (−2 to 2) 0 (−2 to 2)
 5-6 3 (1-5) 3 (1-5) 3 (1-5) 3 (1-5) 3 (1-5) 3 (1-5) 3 (2-6)
 ≥7 4 (1-6) 3 (1-6) 3 (1-6) 3 (1-5) 3 (1-5) 3 (1-6) 3 (1-5)
Sum of major ADGs P = .70 P = .97 P = .58 P = .57 P = .34 P = .30 P = .62
 0 Referent Referent Referent Referent Referent Referent Referent
 1 01 (−1 to 2) 0 (−2 to 2) 1 (−1 to 3) 0 (−2 to 2) 0 (−2 to 2) 1 (−1 to 2) 1 (−1 to 2)
 2 1 (−1 to 4) 0 (−2 to 3) 1 (−1 to 4) 1 (−1 to 4) 2 (0-4) 2 (0-4) 1 (−1 to 3)
 ≥3 1 (−1 to 3) 1 (−2 to 3) 1 (−1 to 4) 1 (−1 to 3) 2 (−1 to 4) 2 (−1 to 5) 1 (−2 to 3)
Material deprivation P = .001 P = .003 P = .002 P = .003 P = .0008 P = .009 P = .002
 1 Referent Referent Referent Referent Referent Referent Referent
 2 1 (−1 to 4) 2 (−1 to 4) 1 (−1 to 3) 1 (−1 to 4) 1 (−1 to 4) 0 (−2 to 3) 1 (−2 to 3)
 3 3 (1-6) 3 (1-5) 3 (1-6) 4 (1-6) 4 (1-6) 2 (−1 to 4) 3 (1-5)
 4 3 (1-5) 3 (1-5) 3 (1-5) 3 (1-5) 3 (1-5) 2 (0-5) 2 (0-5)
 5 4 (2-7) 4 (2-6) 4 (2-6) 4 (2-6) 4 (2-6) 4 (2-6) 4 (2-6)
Rurality P = .04 P = .09 P = .10 P = .05 P = .02
 Urban Referent Referent Referent Referent Referent
 Rural 2 (0-4) 2 (0-4) 2 (0-4) 2 (0-4) 2 (0-4)
Recent immigration P = .15 P = .12 P = .23 P = .66 P = .50
 No Referent Referent Referent Referent Referent
 Yes 2 (−1 to 5) 2 (−1 to 5) 2 (−1 to 5) 1 (−2 to 4) 1 (−2 to 4)
Histology P = .02 P = .0001 P = .02 P = .01 P = .02 P = .0006 P = .02
 Adenocarcinoma Referent Referent Referent Referent Referent Referent Referent
 Squamous cell carcinoma −1 (−3 to 2) −1 (−3 to 1) −1 (−3 to 2) −1 (−3 to 1) −1 (−3 to 1) −2 (−4 to 1) −1 (−3 to 1)
 Other −5 (−8 to −2) −6 (−8 to −3) −5 (−8 to −1) −5 (−8 to −2) −5 (−8 to −1) −6 (−10 to −3) −4 (−7 to −1)
Tumor site P = .22 P = .55 P = .28 P = .30 P = .23 P = .10 P = .48
 Cervical esophagus −3 (−9 to 3) −1 (−8 to 6) −3 (−8 to 3) −2 (−8 to 4) −3 (−8 to 3) −3 (−9 to 3) −5 (−11 to 1)
 Upper esophagus 0 (−4 to 4) 1 (−3 to 6) 1 (−3 to 4) 0 (−3 to 4) 1 (−3 to 4) −2 (−7 to 3) −1 (−4 to 3)
 Middle esophagus 1 (−2 to 4) 0 (−2 to 4) 1 (−2 to 4) 1 (−2 to 4) 1 (−2 to 4) 1 (−2 to 4) 1 (−2 to 4)
 Lower esophagus −1 (−2 to 1) 1 (−1 to 2) −1 (−2 to 1) −0 (−2 to 1) −1 (−2 to 1) −1 (−3 to 1) −0 (−2 to 1)
 Gastroesophageal junction Referent Referent Referent Referent Referent Referent Referent
 Other −3 (−6 to 0) −2 (−5 to 1) −3 (−6 to 1) −3 (−6 to 0) −3 (−6 to 1) −4 (−8 to −1) −2 (−5 to 1)
LHIN P < .0001 P < .0001 P < .0001 P < .0001 P < .0001 P < .0001
 01 −6 (−10 to −2) −6 (−10 to −3) −6 (−10 to −3) −6 (−10 to −3) −5 (−9 to −2) −6 (−9 to −2)
 02 −2 (−5 to 1) −1 (−5 to 2) −1 (−4 to 2) −1 (−5 to 2) 1 (−2 to 4) −4 (−7 to −1)
 03 3 (−1 to 7) 3 (−1 to 8) 4 (−1 to 7) 3 (−1 to 7) 5 (1-9) 1 (−3 to 5)
 04 −8 (−11 to −5) −8 (−11 to −5) −8 (−11 to 5) −8 (−11 to −5) −5 (−8 to −2) −8 (−10 to −5)
 05 −2 (−7 to 2) −2 (−7 to 2.0) −2 (−7 to 2) −2 (−7 to 2) 1 (−3 to 5) −2 (−6 to 3)
 06 4 (0-8) 4 (0-8) 4 (1-8) 4 (1-8) 8 (4-12) 4 (0-8)
 07 −2 (−6 to 1) −2 (−6 to 1) −2 (−6 to 1) −2 (−5 to 1) 1 (−2 to 5) −4 (−7 to −0)
 08 −4 (−7 to −1) −4 (−7 to 0) −4 (−8 to −1) −4 (−7 to −1) −3 (−7 to 1) −4 (−8 to −1)
 09 Referent Referent Referent Referent Referent Referent
 10 6 (1-11) 6 (0-10) 6 (1-11) 6 (1-11) 8 (4-13) 5 (1-8)
 11 3 (0-5) 3 (−1 to 6) 3 (0-6) 3 (0-6) 5 (2-9) 1 (−2 to 4)
 12 −6 (−9 to −2) −6 (−9 to −2) −5 (−8 to −2) −5 (−9 to −2) −10 (−13 to −6) −6 (−10 to −3)
 13 −8 (−12 to −5) −8 (−12 to −5) −8 (−11 to −4) −8 (−11 to −4) −4 (−8 to −1) −8 (−11 to −5)
 14 1 (−5 to 3) −1 (−6 to 4) −1 (−6 to 4) −1 (−6 to 4) 3 (−3 to 9) −2 (−7 to 4)
Treatment group# P < .0001 P < .0001 P < .0001 P < .0001 P < .0001 P < .0001
 A −16 (−19 to 14) −18 (−20 to 15) −16 (−18 to 14) −16 (−19 to 13) −16 (−18 to −13) −12 (−15 to −10)
 B 0 (−3 to 3) 1 (−2 to 4) 0 (−3 to 3) 0 (−3 to 3) 0 (−3 to 3) 6 (3-9)
 C −11 (−13 to −8) −11 (−14 to −9) −11 (−13 to −8) −11 (−14 to −9) −11 (−14 to −9) −5 (−8 to −2)
 D 15 (12-18) 14 (11-17) 15 (11-19) 14 (11-18) 15 (11-19) 17 (13-20)
 E −3 (−5 to −1) −4 (−6 to −2) −3 (−5 to −1) −3 (−5 to −1) −3 (−5 to −2) 1 (−1 to 3)
 F −2 (−7 to 3) 0 (−5 to 6) −2 (−7 to 3) −2 (−7 to 3) −2 (−6 to 2) 1 (−5 to 6)
 G Referent Referent Referent Referent Referent Referent
 H −2 (−5 to 2) −3 (−7 to 0) −2 (−6 to 2) −2 (−6 to 1) −2 (−6 to 1) 0 (−4 to 4)
Stage P < .0001
 I 3 (−1 to 6)
 II Referent
 III −1 (−4 to 1)
 IV −12 (−15 to −10)
 Unknown −8 (−10 to −5)

All values are difference (95% CI) in treatment interval length at the 50th percentile. SA, Sensitivity analyses; ADG, Aggregate Diagnosis Group; LHIN, Local Health Integration Network.

SA.1 = removal of LHIN.

SA.2 = removal of immigration.

SA.3 = removal of rurality.

§

SA.4 = removal of immigration and rurality.

SA.5 = removal of treatment group.

SA.6 = addition of stage.

#

Treatment group: A = endoscopy with or without subsequent treatment; B = chemotherapy only; C = radiotherapy only; D = surgery with or without subsequent treatment; E = chemotherapy and radiotherapy; F = chemotherapy or radiotherapy then surgery; G = chemotherapy and radiotherapy then surgery; and H = other.

Table E5.

Comparison of original model with SA

Original model SA.1 SA.2 SA.3 SA.4§ SA.5 SA.6
Adjusted intercept 55 (45-65) 61 (54-67) 63 (54-72) 64 (56-73) 63 (55-72) 68 (57-78) 66 (57-75)
Age group, y P = .03 P = .09 P = .05 P = .01 P = .03 P = .0006 P = .10
 18-49 −6 (−14 to 2) −7 (−16 to 1) −6 (−13 to 2) −6 (−15 to 2) −6 (−14 to 3) −9 (−17 to −1) −4 (−12 to 4)
 50-59 2 (−2 to 6) 1 (−3 to 5) 2 (−2 to 6) 2 (−2 to 6) 2 (−3 to 6) 3 (−2 to 8) 2 (−2 to 6)
 60-69 Referent Referent Referent Referent Referent Referent Referent
 70-79 4 (0-7) 3 (−1 to 7) 4 (0-8) 5 (1-9) 5 (1-9) 7 (2-11) 4 (1-8)
 ≥80 6 (0-12) 5 (−1 to 12) 6 (0-13) 7 (1-13) 7 (1-13) 7 (1-13) 4 (−2 to 10)
Sex P = 1.0 P = .44 P = .93 P = .81 P = 1.0 P = .42 P = .70
 Female Referent Referent Referent Referent Referent Referent Referent
 Male 0 (−4 to 4) −2 (−5 to 2) 0 (−4 to 4) −1 (−4 to 3) 0 (−4 to 3) 0 (−4 to 3) −1 (−4 to 3)
Sum of minor ADGs P = .39 P = .05 P = .35 P = .32 P = .40 P = .05 P = .32
 0-2 Referent Referent Referent Referent Referent Referent Referent
 3-4 2 (−2 to 6) 4 (−1 to 8) 2 (−2 to 7) 2 (−2 to 7) 2 (−3 to 6) 2 (−3 to 6) 2 (−3 to 6)
 5-6 3 (−1 to 8) 5 (0-9) 3 (−1 to 8) 3 (−1 to 7) 3 (−1 to 7) 4 (−1 to 9) 3 (−1 to 7)
 ≥7 4 (−1 to 9) 7 (2-12) 4 (−1 to 10) 4 (−1 to 9) 4 (−1 to 9) 8 (2-15) 5 (0-10)
Sum of Major ADGs P = .003 P = .01 P = .002 P = .002 P = .005 P = .03 P = .003
 0 Referent Referent Referent Referent Referent Referent Referent
 1 4 (0-8) 3 (−1 to 6) 4 (0-8) 3 (−1 to 7) 3 (−1 to 7) 3 (−1 to 7) 3 (0-7)
 2 8 (3-13) 8 (2-14) 8 (3-13) 7 (2-12) 7 (2-13) 8 (2-15) 8 (3-13)
 ≥3 11 (4-17) 9 (3-15) 10 (4-17) 11 (5-17) 10 (4-17) 8 (0-16) 9 (3-14)
Material deprivation P = .005 P = .01 P = .003 P = .02 P = .02 P = .20 P = .04
 1 Referent Referent Referent Referent Referent Referent Referent
 2 −3 (−8 to 2) −2 (−7 to 3) −3 (−8 to 2) −2 (−8 to 3) −2 (−7 to 3) 0 (−6 to 7) −3 (−7 to 2)
 3 2 (−4 to 7) 2 (−3 to 7) 2 (−3 to 6) 1 (−4 to 6) 2 (−3 to 6) 2 (−4 to 7) −1 (−5 to 4)
 4 1 (−4 to 6) 3 (−2 to 9) 1 (−4 to 6) 2 (−4 to 7) 2 (−3 to 7) 2 (−5 to 8) 1 (−5 to 6)
 5 6 (0-11) 5 (0-9) 6 (1-10) 5 (1-10) 6 (1-10) 6 (0-12) 5 (0-9)
Rurality P = .04 P = .15 P = .04 P = .14 P = .05
 Urban Referent Referent Referent Referent Referent
 Rural 6 (0-11) 3 (−1 to 7) 6 (0-12) 5 (−2 to 13) 5 (0-11)
Recent immigration P = .78 P = .45 P = .61 P = .39 P = .91
 No Referent Referent Referent Referent Referent
 Yes 1 (−6 to 8) 2 (−4 to 8) 2 (−6 to 10) 4 (−5 to 12) 0 (−6 to 7)
Histology P = .23 P = .82 P = .21 P = .16 P = .26 P = .02 P = .21
 Adenocarcinoma Referent Referent Referent Referent Referent Referent Referent
 Squamous cell carcinoma −4 (−9 to 1) −1 (−6 to 3) −4 (−9 to 0) −4 (9 to 0) −34 (−8 to 1) −8 (−13 to −2) −3 (−7 to 1)
 Other −2 (−8 to 5) −1 (8 to 5) −2 (−8 to 4) −2 (−8 to 5) −1 (−8 to 5) −5 (−12 to 2) −3 (−10 to 4)
Tumor site P = .10 P = .08 P = .21 P = .05 P = .10 P = .008 P = .08
 Cervical esophagus −10 (−23 to 4) −10 (−23 to 3) −10 (−24 to 5) −9 (−23 to 5) −11 (−24 to 3) −10 (−26 to 6) −5 (−17 to 7)
 Upper esophagus −3 (−15 to 18) −4 (−22 to 13) −3 (−16 to 10) −5 (−17 to 8) −4 (−17 to 8) −3 (−20 to 14) −5 (−18 to 8)
 Middle esophagus −1 (−9 to 6) −2 (−8 to 4) −1 (−8 to 6) −1 (−7 to 5) −1 (−8 to 6) −7 (−13 to 0) −3 (−9 to 3)
 Lower esophagus −4 (−8 to 0) −5 (−8 to −1) −4 (−7 to 0) −4 (−7 to −1) −4 (−7 to −1) −7 (−11 to −3) −4 (−7 to −1)
 Gastroesophageal junction Referent Referent Referent Referent Referent Referent Referent
 Other 4 (−6 to 13) 2 (−9 to 12) 4 (−6 to 14) 4 (−6 to 14) 4 (−6 to 14) 4 (−7 to 15) 4 (−7 to 14)
LHIN P < .0001 P < .0001 P < .0001 P < .0001 P < .0001 P < .0001
 01 −9 (−17 to 1) −10 (−18 to 0) −10 (−18 to −1) −9 (−17 to −1) −5 (−14 to 3) −9 (−17 to −1)
 02 −2 (−11 to 6) −3 (−11 to 5) −2 (−10 to 6) −2 (−9 to 5) 5 (−4 to 14) −2 (−9 to 6)
 03 −1 (−8 to 6) −1 (9 to 7) −1 (−9 to 7) −1 (−8 to 6) 6 (−2 to 14) 1 (−5 to 8)
 04 −12 (−18 to −7) −12 (−19 to −6) −13 (−19 to −7) −12 (−18 to −6) −7 (−13 to 0) −12 (−17 to −6)
 05 −1 (−10 to 9) −0 (−10 to 10) −1 (−11 to 9) 0 (−9 to 9) 2 (−10 to 13) 1 (−8 to 11)
 06 7 (−1 to 16) 7 (−2 to 16) 7 (−2 to 15) 7 (−2 to 16) 14 (2-26) 5 (−4 to 13)
 07 −4 (−11 to 4) −4 (−11 to 4) −4 (−12 to 3) −3 (−13 to 6) 2 (−8 to 12) −5 (−13 to 3)
 08 −3 (−10 to 4) −2 (−10 to 6) −4 (−13 to 4) −2 (−10 to 6) −1 (−11 to 9) −3 (−11 to 4)
 09 Referent Referent Referent Referent Referent Referent
 10 −2 (−10 to 5) −3 (−10 to 5) −2 (−9 to 5) −1 (−9 to 7) 4 (−5 to 13) −1 (−7 to 5)
 11 −1 (−9 to 7) −1 (−9 to 6) −2 (−9 to 6) −1 (−8 to 7) 8 (−1 to 17) −0 (−7 to 6)
 12 −1 (−12 to 8) −2 (−13 to 9) −2 (−11 to 9) −1 (−12 to 10) −8 (−21 to 6) −4 (−14 to 6)
 13 −12 (−18 to −6) −12 (−19 to −5) −12 (−18 to −5) −11 (−18 to −4) −7 (−15 to 1) −11 (−18 to −5)
 14 −9 (−19 to 1) −9 (−21 to 3) −6 (−18 to 5) −56 (−16 to 4) 3 (−7 to 13) −8 (−17 to 1)
Treatment group# P < .0001 P < .0001 P < .0001 P < .0001 P < .0001 P < .0001
 A −16 (−22 to −10) −15 (−21 to −8) −15 (−21 to −10) −16 (−22 to −9) −15 (−21 to −9) −11 (−18 to −5)
 B 21 (14-27) 19 (13-26) 21 (15-27) 20 (13-27) 20 (13-27) 27 (21-33)
 C 6 (0-13) 5 (0-11) 7 (1-12) 6 (0-12) 7 (0-13) 11 (5-17)
 D 37 (29-44) 38 (30-46) 37 (29-45) 38 (30-46) 38 (30-47) 34 (27-42)
 E 8 (4-12) 7 (3-12) 8 (4-12) 8 (4-12) 8 (4-12) 11 (6-15)
 F 0 (−9 to 9) −3 (−12 to 6) 0 (−8 to 9) −0 (−9 to 9) 0 (−9 to 9) −2 (−8 to 5)
 G Referent Referent Referent Referent Referent Referent
 H −4 (−10 to 2) −4 (−10 to 2) −3 (−9 to 2) −3 (−9 to 3) −4 (−11 to 3) −4 (−10 to 3)
Stage P < .0001
 I 13 (4-22)
 II Referent
 III −4 (−8 to 1)
 IV −16 (−21 to −11)
 Unknown −1 (−5 to 3)

All values are difference (95% CI) in treatment interval length at the 90th percentile. SA, Sensitivity analyses; ADG, Aggregate Diagnosis Group; LHIN, Local Health Integration Network.

SA.1 = removal of LHIN.

SA.2 = removal of immigration.

SA.3 = removal of rurality.

§

SA.4 = removal of immigration and rurality.

SA.5 = removal of treatment group.

SA.6 = addition of stage.

#

Treatment group: A = endoscopy with or without subsequent treatment; B = chemotherapy only; C = radiotherapy only; D = surgery with or without subsequent treatment; E = chemotherapy and radiotherapy; F = chemotherapy or radiotherapy then surgery; G = chemotherapy and radiotherapy then surgery; and H = other.

Table E6.

LHIN of residence at diagnosis

1 2 3 4 5 6 7 8 9 10 11 12 13 14 Total P value
Total 345 523 323 832 246 375 374 496 674 307 517 281 353 129 5775
Age, y .04
 18-49 20 19 21 40 18 28 32 24 26 11 21 14 16 6 296
 50-59 73 88 65 151 47 64 72 82 141 61 94 61 74 32 1105
 60-69 115 186 104 272 78 138 120 142 218 104 180 100 114 52 1923
 70-79 88 157 78 245 70 100 94 155 184 89 143 63 106 24 1596
 ≥80 49 73 55 124 33 45 56 93 105 42 79 43 43 15 855
Sex .02
 Female 76 107 74 178 62 92 101 135 147 55 102 58 70 36 1293
 Male 269 416 249 654 184 283 273 361 527 252 415 223 283 93 4482
Minor ADGs <.0001
 0 18 34 22 48 20 18 17 24 44 19 24 17 25 8 338
 1-2 53 98 82 167 28 50 59 75 109 67 101 62 80 23 1054
 3-4 95 151 81 215 57 97 86 105 182 80 128 69 96 39 1481
 5-6 97 120 79 188 50 113 82 139 151 82 137 79 77 27 1421
 ≥7 82 120 59 214 91 97 130 153 188 59 127 54 75 32 1481
Major ADGs .21
 0 125 204 136 296 79 147 129 158 219 112 203 98 140 51 2097
 1 101 157 100 253 74 121 110 158 225 97 154 95 111 43 1799
 2 69 91 54 149 54 67 72 98 126 54 80 53 65 16 1048
 ≥3 50 71 33 134 39 40 63 82 104 44 80 35 37 19 831
Material deprivation <.0001
 1 45 99 91 178 25 99 111 84 83 37 148 32 23 20 1075
 2 66 115 69 161 33 93 55 129 132 73 109 61 46 13 1155
 3 64 90 73 147 57 90 57 107 130 59 95 72 67 22 1130
 4 61 103 47 162 74 62 55 95 182 57 80 61 95 42 1176
 5 105 114 42 175 57 30 94 79 147 76 82 52 115 30 1198

Immigration and rurality removed because of small cell numbers. ADG, Aggregate Diagnosis Group.

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