IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2020i1p238-d472747.html
   My bibliography  Save this article

Influence of Public Oral Health Services and Socioeconomic Indicators on the Frequency of Hospitalization and Deaths due to Oral Cancer in Brazil, between 2002–2017

Author

Listed:
  • Aldelany R. Freire

    (Graduate Program in Dentistry, Department of Clinic and Social Dentistry, Federal University of Paraíba, University City, João Pessoa-PB 58046-600, Brazil)

  • Deborah E. W. G. Freire

    (Graduate Program in Dentistry, Department of Clinic and Social Dentistry, Federal University of Paraíba, University City, João Pessoa-PB 58046-600, Brazil)

  • Elza C. F. de Araújo

    (Graduate Program in Dentistry, Department of Clinic and Social Dentistry, Federal University of Paraíba, University City, João Pessoa-PB 58046-600, Brazil)

  • Edson H. G. de Lucena

    (Graduate Program in Dentistry, Department of Clinic and Social Dentistry, Federal University of Paraíba, University City, João Pessoa-PB 58046-600, Brazil)

  • Yuri W. Cavalcanti

    (Graduate Program in Dentistry, Department of Clinic and Social Dentistry, Federal University of Paraíba, University City, João Pessoa-PB 58046-600, Brazil)

Abstract

Background : Oral cancer is a frequent neoplasm worldwide, and socioeconomic factors and access to health services may be associated with its risk. Aim: To analyze effect of socioeconomic variables and the influence of public oral health services availability on the frequency of new hospitalized cases and mortality of oral cancer in Brazil. Materials and Methods : This observational study analyzed all Brazilian cities with at least one hospitalized case of oral cancer in the National Cancer Institute database (2002–2017). For each city were collected: population size, Municipal Human Development Index (MHDI), Gini Coefficient, oral health coverage in primary care, number of Dental Specialized Centers (DSC) and absolute frequency of deaths after one year of the first treatment. The risk ratio was determined by COX regression, and the effect of the predictor variables on the incidence of cases was verified by the Hazard Ratio measure. Poisson regression was used to determine factors associated with higher mortality frequency. Results : Cities above 50,000 inhabitants, with high or very high MHDI, more unequal (Gini > 0.4), with less oral health coverage in primary care (<50%) and without DSC had a greater accumulated risk of having 1 or more cases ( p < 0.001). Higher frequency of deaths was also associated with higher population size, higher MHDI, higher Gini and lower oral health coverage in primary care ( p < 0.001). Conclusions : The number hospitalization and deaths due to oral cancer in Brazil was influenced by the cities’ population size, the population’s socioeconomic status and the availability of public dental services.

Suggested Citation

  • Aldelany R. Freire & Deborah E. W. G. Freire & Elza C. F. de Araújo & Edson H. G. de Lucena & Yuri W. Cavalcanti, 2020. "Influence of Public Oral Health Services and Socioeconomic Indicators on the Frequency of Hospitalization and Deaths due to Oral Cancer in Brazil, between 2002–2017," IJERPH, MDPI, vol. 18(1), pages 1-10, December.
  • Handle: RePEc:gam:jijerp:v:18:y:2020:i:1:p:238-:d:472747
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/1/238/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/18/1/238/
    Download Restriction: no
    ---><---

    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:2020:i:1:p:238-:d:472747. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.