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Determinants of Hospitalization Refusal of COVID-19 Patients in Treatment Centers in Conakry, Coyah, Dubreka, and Kindia March-December 2020

Received: 10 June 2022     Accepted: 11 July 2022     Published: 29 July 2022
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Abstract

Detection, notification, investigation, and treatment are the most effective public health measures in disease management. The objective of the present study was to identify the determinants of COVID-19 patients’ refusal to go to epidemiological treatment centers for their care. This was a descriptive cross-sectional study on a sample of COVID-19 patients. Data analysis was done with Epi-info software. The opinions were grouped into themes and analyzed by triangulation. A total of 73/218 patients were surveyed (33.5% participation rate). Among them 38.36% were from Matam and 20.55% from Matoto. The probability of hospitalization after refusal was higher in women than in men (OR = 5.6 CI (1.3-23.4) and P-value = 0.023. And that of being hospitalized after refusal was lower in the under 40s (OR = 0.18 CI (0.05-0.7) and P-value = 0.023). These differences are statistically significant. The reasons for refusal were denial of the disease, the quality of the offer and the stigma.: I am not sick, they confused the results, I was lied to for the test, the stigma, the lack of support from the family, the time to waiting for results, self-medication, ETC. This study made it possible to describe the determinants of the refusal of COVID-19 cases to accept CT-Epi care. A study combining refusals and hospitalized ones would be necessary.

Published in Central African Journal of Public Health (Volume 8, Issue 4)
DOI 10.11648/j.cajph.20220804.16
Page(s) 172-176
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2022. Published by Science Publishing Group

Keywords

Determinants, COVID-19, Refusal, CT-Epi, Hospitalization

References
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[5] Zare A, Niamba P, Lougue C, Ouedraogo M, Ouedraogo A, Poda A, et al. Home-based management of COVID-19 in Ouagadougou, Burkina Faso at the onset of the pandemic (Preliminary results). Science and Technique, Health Sciences. 2021; 44 (2): 89-98.
[6] Lee A, Morling JR, Bhopal RS. COVID-19 - Why open and honest public dialogue is needed. Public Health. 2020 Nov; 188: A1-2.
[7] Quarantine in the Context of COVID-19 [Internet]. Social Science in Humanitarian Action Platform. [cited 4 Jul 2022]. Available from: https://www.socialscienceinaction.org/resources/february-2020-social-science-humanitarian-action-platform/
[8] Ars-tri-ethics-COVID-final.pdf [Internet]. [cited 4 Jul 2022]. Available from: https://paris-luttes.info/IMG/pdf/ars-tri-ethique-COVID-final.pdf
[9] Ben Amar W, Karray N, Zribi M, Siala H, Dhouib H, Karray M, et al. Criminal medical liability in the context of COVID-19 pandemic. La Tunisie medicale. May 1, 2020; 98: 334-42.
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[11] Ogedegbe G, Ravenell J, Adhikari S, Butler M, Cook T, Francois F, et al. Assessment of Racial/Ethnic Disparities in Hospitalization and Mortality in Patients With COVID-19 in New York City. JAMA Network Open. 4 Dec 2020; 3 (12): e2026881.
[12] Orangi S, Pinchoff J, Mwanga D, Abuya T, Hamaluba M, Warimwe G, et al. Assessing the Level and Determinants of COVID-19 Vaccine Confidence in Kenya. Vaccines. August 2021; 9 (8): 936.
[13] Biswas MR, Alzubaidi MS, Shah U, Abd-Alrazaq AA, Shah Z. A Scoping Review to Find Out Worldwide COVID-19 Vaccine Hesitancy and Its Underlying Determinants. Vaccines. nov 2021; 9 (11): 1243.
[14] Jung SJ, Jun JY. Mental Health and Psychological Intervention Amid COVID-19 Outbreak: Perspectives from South Korea. Yonsei Med J. Mar 25, 2020; 61 (4): 271-2.
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Cite This Article
  • APA Style

    Sadou Sow, Check Tidiane Sidibe, Manengu Casimir Tshikolasoni, Idrissa Diallo, Fode Bangaly Diakité, et al. (2022). Determinants of Hospitalization Refusal of COVID-19 Patients in Treatment Centers in Conakry, Coyah, Dubreka, and Kindia March-December 2020. Central African Journal of Public Health, 8(4), 172-176. https://doi.org/10.11648/j.cajph.20220804.16

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    ACS Style

    Sadou Sow; Check Tidiane Sidibe; Manengu Casimir Tshikolasoni; Idrissa Diallo; Fode Bangaly Diakité, et al. Determinants of Hospitalization Refusal of COVID-19 Patients in Treatment Centers in Conakry, Coyah, Dubreka, and Kindia March-December 2020. Cent. Afr. J. Public Health 2022, 8(4), 172-176. doi: 10.11648/j.cajph.20220804.16

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    AMA Style

    Sadou Sow, Check Tidiane Sidibe, Manengu Casimir Tshikolasoni, Idrissa Diallo, Fode Bangaly Diakité, et al. Determinants of Hospitalization Refusal of COVID-19 Patients in Treatment Centers in Conakry, Coyah, Dubreka, and Kindia March-December 2020. Cent Afr J Public Health. 2022;8(4):172-176. doi: 10.11648/j.cajph.20220804.16

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  • @article{10.11648/j.cajph.20220804.16,
      author = {Sadou Sow and Check Tidiane Sidibe and Manengu Casimir Tshikolasoni and Idrissa Diallo and Fode Bangaly Diakité and Abdoulaye Sow and Alpha Oumar Diallo and Ahmadou Barry and Amadou Bailo Diallo and Jean Konan Kouame and Georges Alfred Kizerbo and Traore Tieble and John Chukwudi and Mamadou Oury Balde},
      title = {Determinants of Hospitalization Refusal of COVID-19 Patients in Treatment Centers in Conakry, Coyah, Dubreka, and Kindia March-December 2020},
      journal = {Central African Journal of Public Health},
      volume = {8},
      number = {4},
      pages = {172-176},
      doi = {10.11648/j.cajph.20220804.16},
      url = {https://doi.org/10.11648/j.cajph.20220804.16},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.cajph.20220804.16},
      abstract = {Detection, notification, investigation, and treatment are the most effective public health measures in disease management. The objective of the present study was to identify the determinants of COVID-19 patients’ refusal to go to epidemiological treatment centers for their care. This was a descriptive cross-sectional study on a sample of COVID-19 patients. Data analysis was done with Epi-info software. The opinions were grouped into themes and analyzed by triangulation. A total of 73/218 patients were surveyed (33.5% participation rate). Among them 38.36% were from Matam and 20.55% from Matoto. The probability of hospitalization after refusal was higher in women than in men (OR = 5.6 CI (1.3-23.4) and P-value = 0.023. And that of being hospitalized after refusal was lower in the under 40s (OR = 0.18 CI (0.05-0.7) and P-value = 0.023). These differences are statistically significant. The reasons for refusal were denial of the disease, the quality of the offer and the stigma.: I am not sick, they confused the results, I was lied to for the test, the stigma, the lack of support from the family, the time to waiting for results, self-medication, ETC. This study made it possible to describe the determinants of the refusal of COVID-19 cases to accept CT-Epi care. A study combining refusals and hospitalized ones would be necessary.},
     year = {2022}
    }
    

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    T1  - Determinants of Hospitalization Refusal of COVID-19 Patients in Treatment Centers in Conakry, Coyah, Dubreka, and Kindia March-December 2020
    AU  - Sadou Sow
    AU  - Check Tidiane Sidibe
    AU  - Manengu Casimir Tshikolasoni
    AU  - Idrissa Diallo
    AU  - Fode Bangaly Diakité
    AU  - Abdoulaye Sow
    AU  - Alpha Oumar Diallo
    AU  - Ahmadou Barry
    AU  - Amadou Bailo Diallo
    AU  - Jean Konan Kouame
    AU  - Georges Alfred Kizerbo
    AU  - Traore Tieble
    AU  - John Chukwudi
    AU  - Mamadou Oury Balde
    Y1  - 2022/07/29
    PY  - 2022
    N1  - https://doi.org/10.11648/j.cajph.20220804.16
    DO  - 10.11648/j.cajph.20220804.16
    T2  - Central African Journal of Public Health
    JF  - Central African Journal of Public Health
    JO  - Central African Journal of Public Health
    SP  - 172
    EP  - 176
    PB  - Science Publishing Group
    SN  - 2575-5781
    UR  - https://doi.org/10.11648/j.cajph.20220804.16
    AB  - Detection, notification, investigation, and treatment are the most effective public health measures in disease management. The objective of the present study was to identify the determinants of COVID-19 patients’ refusal to go to epidemiological treatment centers for their care. This was a descriptive cross-sectional study on a sample of COVID-19 patients. Data analysis was done with Epi-info software. The opinions were grouped into themes and analyzed by triangulation. A total of 73/218 patients were surveyed (33.5% participation rate). Among them 38.36% were from Matam and 20.55% from Matoto. The probability of hospitalization after refusal was higher in women than in men (OR = 5.6 CI (1.3-23.4) and P-value = 0.023. And that of being hospitalized after refusal was lower in the under 40s (OR = 0.18 CI (0.05-0.7) and P-value = 0.023). These differences are statistically significant. The reasons for refusal were denial of the disease, the quality of the offer and the stigma.: I am not sick, they confused the results, I was lied to for the test, the stigma, the lack of support from the family, the time to waiting for results, self-medication, ETC. This study made it possible to describe the determinants of the refusal of COVID-19 cases to accept CT-Epi care. A study combining refusals and hospitalized ones would be necessary.
    VL  - 8
    IS  - 4
    ER  - 

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Author Information
  • World Health Organization, WHO Guinea Office, Conakry, Guinea

  • World Health Organization, WHO Guinea Office, Conakry, Guinea

  • World Health Organization, WHO Guinea Office, Conakry, Guinea

  • World Health Organization, WHO Guinea Office, Conakry, Guinea

  • World Health Organization, WHO Guinea Office, Conakry, Guinea

  • Department of Medicine, Faculty of Health Science and Technology, University Gamal Abdel Nasser, Conakry, Guinea

  • Department of Medicine, Faculty of Health Science and Technology, University Gamal Abdel Nasser, Conakry, Guinea

  • World Health Organization, WHO Guinea Office, Conakry, Guinea

  • World Health Organization, Dakar Office, Dakar, Senegal

  • World Health Organization, WHO Guinea Office, Conakry, Guinea

  • World Health Organization, WHO Guinea Office, Conakry, Guinea

  • World Health Organization, Dakar Office, Dakar, Senegal

  • World Health Organization, Regional Office for Africa, Brazzaville, Congo

  • World Health Organization, WHO Guinea Office, Conakry, Guinea

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