Access to cancer care in northwestern Ontario-a population-based study using administrative data

被引:5
|
作者
Febbraro, M. [1 ]
Conlon, M. [2 ]
Caswell, J. [2 ]
Laferriere, N. [3 ]
机构
[1] McMaster Univ, Northern Ontario Sch Med, Thunder Bay, ON, Canada
[2] Northeast Canc Ctr, Inst Clin Evaluat Sci North & Epidemiol Outcomes, Hlth Sci North Res Inst, Sudbury, ON, Canada
[3] Thunder Bay Reg Hlth Sci Ctr, Thunder Bay, ON, Canada
关键词
Health services accessibility; cancer care access; rural cancer services; North West LHIN; medical oncology consultation; radiation oncology consultation; DISPARITIES; HEALTH; OUTCOMES; URBAN;
D O I
10.3747/co.27.5717
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background Despite universal access to health care in Canada, there are disparities relating to social determinants of health that contribute to discrepancies between rural and urban areas in cancer incidence and outcomes. Given that Canada has one of the highest-quality national population-based cancer registry systems in the world and that little information is available about cancer statistics specific to northwestern Ontario, the purpose of the present study was to estimate the percentage of cancer patients without documentation of a specialist consultation (medical or radiation oncology consultation) and to determine factors that affect access to specialist consultation in northwestern Ontario. Methods This population-based retrospective study used administrative data obtained through the Ontario Cancer Data Linkage Project. For each index case, a timeline was constructed of all Ontario Health Insurance Plan billing codes and associated service dates, starting with the primary cancer diagnosis and ending with death. Specific factors affecting access to specialist consultation were assessed. Results Within the 6-year study period (2010-2016), 2583 index cases were identified. Most (n = 2007, 78%) received a specialist consultation. Factors associated with not receiving a specialist consultation included older age [p < 0.0001; odds ratio (OR): 0.29; 95% confidence interval (CI): 0.19 to 0.44] and rural residence (p < 0.0001; OR: 0.48; 95% CI: 0.48 to 0.72). Factors associated with receiving a specialist consultation included a longer timeline (p < 0.0001; OR: 1.32; 95% CI: 1.19 to 1.46), a diagnosis of breast cancer (p < 0.0001; OR: 2.51; 95% CI: 1.43 to 4.42), and a diagnosis of lung cancer (p < 0.0001; OR: 1.77; 95% CI: 1.38 to 2.26). Conclusions This study is the first to look at care access in northwestern Ontario. The complexity and multidisciplinary nature of cancer care makes the provision of appropriate care a challenge; a one-size-fits-all disease prevention and treatment strategy might not be appropriate.
引用
收藏
页码:E271 / E275
页数:5
相关论文
共 50 条
  • [41] Identification of Early Onset Dementia in Population-Based Health Administrative Data: A Validation Study Using Primary Care Electronic Medical Records
    Jaakkimainen, Liisa
    Duchen, Raquel
    Lix, Lisa
    Al-Azazi, Saeed
    Yu, Bing
    Butt, Debra
    Park, Su-Bin
    Widdifield, Jessica
    [J]. JOURNAL OF ALZHEIMERS DISEASE, 2022, 89 (04) : 1463 - 1472
  • [42] Validation of administrative hospital data for identifying incident pancreatic and periampullary cancer cases: a population-based study using linked cancer registry and administrative hospital data in New South Wales, Australia
    Creighton, Nicola
    Walton, Richard
    Roder, David
    Aranda, Sanchia
    Currow, David
    [J]. BMJ OPEN, 2016, 6 (07):
  • [43] Population-based patient care study for breast cancer
    Engel, J
    Schmidt, M
    Scheichenzuber, J
    Reimer, B
    Hölzel, D
    Sauer, H
    [J]. ONKOLOGIE, 1998, 21 (02): : 168 - 173
  • [44] Validity of Administrative Data for the Diagnosis of Primary Sclerosing Cholangitis: A Population-Based Study
    Molodecky, Natalie
    Myers, Robert
    Quan, Hude
    Kaplan, Gil
    [J]. AMERICAN JOURNAL OF GASTROENTEROLOGY, 2010, 105 : S68 - S68
  • [45] Children with neurodevelopmental disorders and disabilities: a population-based study of healthcare service utilization using administrative data
    Arim, Rubab G.
    Miller, Anton R.
    Guevremont, Anne
    Lach, Lucyna M.
    Brehaut, Jamie C.
    Kohen, Dafna E.
    [J]. DEVELOPMENTAL MEDICINE AND CHILD NEUROLOGY, 2017, 59 (12): : 1284 - 1290
  • [46] Primary Care Physician Panel Size and Quality of Care: A Population-Based Study in Ontario, Canada
    Dahrouge, Simone
    Hogg, William
    Younger, Jaime
    Muggah, Elizabeth
    Russell, Grant
    Glazier, Richard H.
    [J]. ANNALS OF FAMILY MEDICINE, 2016, 14 (01) : 26 - 33
  • [47] Validity of administrative data for the diagnosis of primary sclerosing cholangitis: a population-based study
    Molodecky, Natalie A.
    Myers, Robert P.
    Barkema, Herman W.
    Quan, Hude
    Kaplan, Gilaad G.
    [J]. LIVER INTERNATIONAL, 2011, 31 (05) : 712 - 720
  • [48] Identifying diabetes cases from administrative data: a population-based validation study
    Lorraine L. Lipscombe
    Jeremiah Hwee
    Lauren Webster
    Baiju R. Shah
    Gillian L. Booth
    Karen Tu
    [J]. BMC Health Services Research, 18
  • [49] Identifying diabetes cases from administrative data: a population-based validation study
    Lipscomb, Lorraine L.
    Hwee, Jeremiah
    Webster, Lauren
    Shah, Baiju R.
    Booth, Gillian L.
    Tu, Karen
    [J]. BMC HEALTH SERVICES RESEARCH, 2018, 18
  • [50] Access to Surgery for Endometrial Cancer Patients During the COVID-19 Pandemic in Ontario, Canada A Population-Based Study
    Swift, Brenna E.
    Mazuryk, Joshua
    Yermakhanova, Olga
    Green, Bo
    Ferguson, Sarah R.
    Kupets, Rachel
    [J]. JOURNAL OF OBSTETRICS AND GYNAECOLOGY CANADA, 2024, 46 (01)