IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i11p6040-d568629.html
   My bibliography  Save this article

Health Care Access Measures and Palliative Care Use by Race/Ethnicity among Metastatic Gynecological Cancer Patients in the United States

Author

Listed:
  • Jessica Y. Islam

    (Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, USA
    Cancer Epidemiology Program, Center for Immunization and Infection Research in Cancer (CIIRC), H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA
    Department of Population Health Sciences, Duke University School of Medicine, Durham, NC 27701, USA)

  • Veeral Saraiya

    (Department of Epidemiology, University of North Carolina Gillings School of Global Public Health, Chapel Hill, NC 27514, USA)

  • Rebecca A. Previs

    (Division of Gynecological Oncology, Duke Cancer Institute, Durham, NC 27710, USA)

  • Tomi Akinyemiju

    (Department of Population Health Sciences, Duke University School of Medicine, Durham, NC 27701, USA)

Abstract

Palliative care improves quality-of-life and extends survival, however, is underutilized among gynecological cancer patients in the United States (U.S.). Our objective was to evaluate associations between healthcare access (HCA) measures and palliative care utilization among U.S. gynecological cancer patients overall and by race/ethnicity. We used 2004–2016 data from the U.S. National Cancer Database and included patients with metastatic (stage III–IV at-diagnosis) ovarian, cervical, and uterine cancer (n = 176,899). Palliative care was defined as non-curative treatment and could include surgery, radiation, chemotherapy, and pain management, or any combination. HCA measures included insurance type, area-level socioeconomic measures, distance-to-care, and cancer treatment facility type. We evaluated associations of HCA measures with palliative care use overall and by race/ethnicity using multivariable logistic regression. Our population was mostly non-Hispanic White (72%), had ovarian cancer (72%), and 24% survived <6 months. Five percent of metastatic gynecological cancer patients utilized palliative care. Compared to those with private insurance, uninsured patients with ovarian (aOR: 1.80,95% CI: 1.53–2.12), and cervical (aOR: 1.45,95% CI: 1.26–1.67) cancer were more likely to use palliative care. Patients with ovarian (aOR: 0.58,95% CI: 0.48–0.70) or cervical cancer (aOR: 0.74,95% CI: 0.60–0.88) who reside >45 miles from their provider were less likely to utilize palliative care than those within <2 miles. Ovarian cancer patients treated at academic/research programs were less likely to utilize palliative care compared to those treated at community cancer programs (aOR: 0.70, 95%CI: 0.58–0.84). Associations between HCA measures and palliative care utilization were largely consistent across U.S. racial-ethnic groups. Insurance type, cancer treatment facility type, and distance-to-care may influence palliative care use among metastatic gynecological cancer patients in the U.S.

Suggested Citation

  • Jessica Y. Islam & Veeral Saraiya & Rebecca A. Previs & Tomi Akinyemiju, 2021. "Health Care Access Measures and Palliative Care Use by Race/Ethnicity among Metastatic Gynecological Cancer Patients in the United States," IJERPH, MDPI, vol. 18(11), pages 1-15, June.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:11:p:6040-:d:568629
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/11/6040/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/18/11/6040/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Soobader, M.-J. & LeClere, F.B. & Hadden, W. & Maury, B., 2001. "Using aggregate geographic data to proxy individual socioeconomic status: Does size matter?," American Journal of Public Health, American Public Health Association, vol. 91(4), pages 632-636.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Esposito, Tonino & Trocmé, Nico & Chabot, Martin & Shlonsky, Aron & Collin-Vézina, Delphine & Sinha, Vandna, 2013. "Placement of children in out-of-home care in Québec, Canada: When and for whom initial out-of-home placement is most likely to occur," Children and Youth Services Review, Elsevier, vol. 35(12), pages 2031-2039.
    2. Nathaniel Bell & Nadine Schuurman, 2010. "GIS and Injury Prevention and Control: History, Challenges, and Opportunities," IJERPH, MDPI, vol. 7(3), pages 1-16, March.
    3. Michael Adjemian & Jeffrey Williams, 2009. "Using census aggregates to proxy for household characteristics: an application to vehicle ownership," Transportation, Springer, vol. 36(2), pages 223-241, March.
    4. Masayoshi Oka, 2022. "Census-Tract-Level Median Household Income and Median Family Income Estimates: A Unidimensional Measure of Neighborhood Socioeconomic Status?," IJERPH, MDPI, vol. 20(1), pages 1-23, December.
    5. Chunzhu Wei & Pablo Cabrera-Barona & Thomas Blaschke, 2016. "Local Geographic Variation of Public Services Inequality: Does the Neighborhood Scale Matter?," IJERPH, MDPI, vol. 13(10), pages 1-20, October.
    6. Laura Kuznetsov & Werner Maier & Matthias Hunger & Martin Meyer & Andreas Mielck, 2012. "Regional deprivation in Bavaria, Germany: linking a new deprivation score with registry data for lung and colorectal cancer," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 57(5), pages 827-835, October.
    7. Tao Hu & Qingyun Du & Fu Ren & Shi Liang & Denan Lin & Jiajia Li & Yan Chen, 2014. "Spatial Analysis of the Home Addresses of Hospital Patients with Hepatitis B Infection or Hepatoma in Shenzhen, China from 2010 to 2012," IJERPH, MDPI, vol. 11(3), pages 1-13, March.
    8. Alessio Petrelli & Roberta Picariello & Giuseppe Costa, 2010. "Toward a needs based mechanism for capitation purposes in Italy: the role of socioeconomic level in explaining differences in the use of health services," International Journal of Health Economics and Management, Springer, vol. 10(1), pages 29-42, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:18:y:2021:i:11:p:6040-:d:568629. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.