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The impact of a cancer diagnosis on nonfatal self-injury: a matched cohort study in Ontario

Lena Nguyen, Julie Hallet, Antoine Eskander, Wing C. Chan, Christopher W. Noel, Alyson Mahar and Rinku Sutradhar; on behalf of the Enhanced Supportive Psycho-oncology Canadian Care (ESPOC) Group
April 04, 2023 11 (2) E291-E297; DOI: https://doi.org/10.9778/cmajo.20220157
Lena Nguyen
ICES (Nguyen, Hallet, Eskander, Chan, Noel, Mahar, Sutradhar); Dalla Lana School of Public Health (Hallet, Eskander, Noel, Mahar, Sutradhar) and Temerty Faculty of Medicine (Hallet, Eskander, Noel), University of Toronto; Evaluative Clinical Sciences (Hallet, Eskander), Sunnybrook Research Institute, Toronto, Ont.; Department of Community Health Sciences (Mahar), University of Manitoba, Winnipeg, Man.
MSc
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Julie Hallet
ICES (Nguyen, Hallet, Eskander, Chan, Noel, Mahar, Sutradhar); Dalla Lana School of Public Health (Hallet, Eskander, Noel, Mahar, Sutradhar) and Temerty Faculty of Medicine (Hallet, Eskander, Noel), University of Toronto; Evaluative Clinical Sciences (Hallet, Eskander), Sunnybrook Research Institute, Toronto, Ont.; Department of Community Health Sciences (Mahar), University of Manitoba, Winnipeg, Man.
MD MSc
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Antoine Eskander
ICES (Nguyen, Hallet, Eskander, Chan, Noel, Mahar, Sutradhar); Dalla Lana School of Public Health (Hallet, Eskander, Noel, Mahar, Sutradhar) and Temerty Faculty of Medicine (Hallet, Eskander, Noel), University of Toronto; Evaluative Clinical Sciences (Hallet, Eskander), Sunnybrook Research Institute, Toronto, Ont.; Department of Community Health Sciences (Mahar), University of Manitoba, Winnipeg, Man.
MD ScM
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Wing C. Chan
ICES (Nguyen, Hallet, Eskander, Chan, Noel, Mahar, Sutradhar); Dalla Lana School of Public Health (Hallet, Eskander, Noel, Mahar, Sutradhar) and Temerty Faculty of Medicine (Hallet, Eskander, Noel), University of Toronto; Evaluative Clinical Sciences (Hallet, Eskander), Sunnybrook Research Institute, Toronto, Ont.; Department of Community Health Sciences (Mahar), University of Manitoba, Winnipeg, Man.
MPH
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Christopher W. Noel
ICES (Nguyen, Hallet, Eskander, Chan, Noel, Mahar, Sutradhar); Dalla Lana School of Public Health (Hallet, Eskander, Noel, Mahar, Sutradhar) and Temerty Faculty of Medicine (Hallet, Eskander, Noel), University of Toronto; Evaluative Clinical Sciences (Hallet, Eskander), Sunnybrook Research Institute, Toronto, Ont.; Department of Community Health Sciences (Mahar), University of Manitoba, Winnipeg, Man.
MD PhD
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Alyson Mahar
ICES (Nguyen, Hallet, Eskander, Chan, Noel, Mahar, Sutradhar); Dalla Lana School of Public Health (Hallet, Eskander, Noel, Mahar, Sutradhar) and Temerty Faculty of Medicine (Hallet, Eskander, Noel), University of Toronto; Evaluative Clinical Sciences (Hallet, Eskander), Sunnybrook Research Institute, Toronto, Ont.; Department of Community Health Sciences (Mahar), University of Manitoba, Winnipeg, Man.
PhD
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Rinku Sutradhar
ICES (Nguyen, Hallet, Eskander, Chan, Noel, Mahar, Sutradhar); Dalla Lana School of Public Health (Hallet, Eskander, Noel, Mahar, Sutradhar) and Temerty Faculty of Medicine (Hallet, Eskander, Noel), University of Toronto; Evaluative Clinical Sciences (Hallet, Eskander), Sunnybrook Research Institute, Toronto, Ont.; Department of Community Health Sciences (Mahar), University of Manitoba, Winnipeg, Man.
PhD
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Article Figures & Tables

Figures

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  • Figure 1:
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    Figure 1:

    Cohort creation. Note: OHIP = Ontario Health Insurance Plan.

  • Figure 2:
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    Figure 2:

    Adjusted ratio of relative rates of nonfatal self-injury in patients with cancer compared with controls. Estimates have been adjusted for Elixhauser Comorbidity Index score (dichotomized as low [0–3] or high [≥ 4]).

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    Table 1:

    Distributions of baseline characteristics among patients with cancer and cancer-free controls

    CharacteristicNo. (%) of individualsStandardized difference*
    Cancer-free controls
    n = 1 607 480
    Patients with cancer
    n = 803 740
    Age at diagnosis, yr
     18–3975 689 (4.7)37 827 (4.7)0.00
     40–49129 643 (8.1)64 616 (8.0)
     50–59292 016 (18.2)146 033 (18.2)
     60–69431 711 (26.9)215 979 (26.9)
     ≥ 70678 421 (42.2)339 285 (42.2)
    Sex
     Female800 122 (49.8)400 061 (49.8)0.00
     Male807 358 (50.2)403 679 (50.2)
    Rurality†
     Urban1 449 450 (90.2)721 830 (89.8)0.01
     Rural156 331 (9.7)81 369 (10.1)
    Deprivation quintile†
     Q1 (least)320 027 (19.9)160 154 (19.9)0.00
     Q2319 160 (19.9)160 118 (19.9)
     Q3315 001 (19.6)158 534 (19.7)
     Q4319 604 (19.9)159 311 (19.8)
     Q5 (most)320 046 (19.9)160 005 (19.9)
    Elixhauser Comorbidity Index score
     0–3 (low)1 500 636 (93.4)727 865 (90.6)0.10
     ≥ 4 (high)106 844 (6.6)75 875 (9.4)
    Prior usage of mental health services
     No use of mental health services991 004 (61.6)486 962 (60.6)0.02
     Inpatient13 503 (0.8)6583 (0.8)
     Outpatient29 524 (1.8)14 246 (1.8)
     Mental health services use573 449 (35.7)295 949 (36.8)
    Year of diagnosis
     2007–2008–120 304 (15.0)NA
     2009–2010–127 051 (15.8)
     2011–2012–132 911 (16.5)
     2013–2014–132 133 (16.4)
     2015–2016–136 091 (16.9)
     2017–2018–139 179 (17.3)
     2019–16 071 (2.0)
    Cancer site
     Bone sarcoma and PNS–1647 (0.2)NA
     Breast–112 300 (14.0)
     Bronchopulmonary–103 831 (12.9)
     CNS–10 597 (1.3)
     Endocrine–32 234 (4.0)
     Gastrointestinal–151 560 (18.8)
     Genitourinary–169 990 (21.1)
     Gynecologic–49 417 (6.1)
     Hematopoietic and lymphoma–92 175 (11.5)
     Head and neck–19 116 (2.4)
     Skin–36 748 (4.6)
     Other–24 125 (3.0)
    Cancer stage
     0–1732 (0.2)NA
     I–149 293 (18.6)
     II–144 163 (17.9)
     III–93 937 (11.7)
     IV–107 763 (13.4)
     Missing or unknown–306 852 (38.2)
    • Note: CNS = central nervous system, NA = not applicable, PNS = peripheral nervous system.

    • ↵* Imbalance of Elixhauser Comorbidity Index score is indicated by a standardized difference of ≥ 0.10. This covariate was adjusted for in the multivariable model.

    • ↵† The sum of counts does not equal the column total because of individuals with missing information (≤ 1.0%) for this characteristic.

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    Table 2:

    Difference-in-differences calculation of nonfatal self-injury in the first 5 years after diagnosis

    AnalysisTime periodExposureNNFSI frequencyFollow-up time (person-years)Rate per 10 000 (95% CI)Difference in ratesRelative rateEstimates*
    DIDRatio of relative rates†
    Year 0–1 v. 5 year preindexPre-indexCancer803 74037043 952 5389.37 (9.07–9.68)0.731.08––
    Controls1 607 4806 027 870 2558.64 (8.44–8.85)
    Post-indexCancer803 740716688 60010.40 (9.66–11.19)2.161.261.431.16
    Controls1 607 48012641 534 3348.24 (7.80–8.71)
    Years 1–5 v. 5 year preindexPre-indexCancer550 31323662 703 4138.75 (8.41–9.11)0.231.03––
    Controls1 100 62645965 394 8408.52 (8.28–8.77)
    Post-indexCancer550 31313471 563 5868.61 (8.17–9.09)0.791.100.561.07
    Controls1 100 62626263 356 0577.82 (7.53–8.13)
    Years 0–5 v. 5 year preindexPre-indexCancer803 74037043 952 5389.37 (9.07–9.68)0.731.08––
    Controls1 607 48068027 870 2558.64 (8.44–8.85)
    Post-indexCancer803 74022212 461 0149.02 (8.66–9.41)1.411.190.681.09
    Controls1 607 48045385 960 2607.61 (7.40–7.84)
    • Note: DID = difference in differences (difference in the postindex period – difference in the preindex period), NSFI = nonfatal self-injury.

    • ↵* Unadjusted estimates are presented.

    • ↵† Ratio of relative rates: relative rate in the postindex period / relative rate in the preindex period.

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The impact of a cancer diagnosis on nonfatal self-injury: a matched cohort study in Ontario
Lena Nguyen, Julie Hallet, Antoine Eskander, Wing C. Chan, Christopher W. Noel, Alyson Mahar, Rinku Sutradhar
Mar 2023, 11 (2) E291-E297; DOI: 10.9778/cmajo.20220157

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The impact of a cancer diagnosis on nonfatal self-injury: a matched cohort study in Ontario
Lena Nguyen, Julie Hallet, Antoine Eskander, Wing C. Chan, Christopher W. Noel, Alyson Mahar, Rinku Sutradhar
Mar 2023, 11 (2) E291-E297; DOI: 10.9778/cmajo.20220157
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