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

Sadou Sow; Check Tidiane Sidibe; Manengu Casimir Tshikolasoni; Idrissa Diallo; Fode Bangaly Diakité; Abdoulaye Sow; Alpha Oumar Diallo; Ahmadou Barry; Amadou Bailo Diallo; Jean Konan Kouame; Georges Alfred Kizerbo; Traore Tieble; John Chukwudi; Mamadou Oury Balde

doi:doi:10.11648/j.cajph.20220804.16

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

Sadou Sow, Check Tidiane Sidibe, Manengu Casimir Tshikolasoni, Idrissa Diallo, Fode Bangaly Diakité, Abdoulaye Sow, Alpha Oumar Diallo, Ahmadou Barry, Amadou Bailo Diallo, Jean Konan Kouame, Georges Alfred Kizerbo, Traore Tieble, John Chukwudi, Mamadou Oury Balde

Published in Central African Journal of Public Health (Volume 8, Issue 4)

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), 2024. Published by Science Publishing Group

Keywords

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

References

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[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.
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[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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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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TY - JOUR
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

Sadou Sow

World Health Organization, WHO Guinea Office, Conakry, Guinea
Check Tidiane Sidibe

World Health Organization, WHO Guinea Office, Conakry, Guinea
Manengu Casimir Tshikolasoni

World Health Organization, WHO Guinea Office, Conakry, Guinea
Idrissa Diallo

World Health Organization, WHO Guinea Office, Conakry, Guinea
Fode Bangaly Diakité

World Health Organization, WHO Guinea Office, Conakry, Guinea
Abdoulaye Sow

Department of Medicine, Faculty of Health Science and Technology, University Gamal Abdel Nasser, Conakry, Guinea
Alpha Oumar Diallo

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

World Health Organization, WHO Guinea Office, Conakry, Guinea
Amadou Bailo Diallo

World Health Organization, Dakar Office, Dakar, Senegal
Jean Konan Kouame

World Health Organization, WHO Guinea Office, Conakry, Guinea
Georges Alfred Kizerbo

World Health Organization, WHO Guinea Office, Conakry, Guinea
Traore Tieble

World Health Organization, Dakar Office, Dakar, Senegal
John Chukwudi

World Health Organization, Regional Office for Africa, Brazzaville, Congo
Mamadou Oury Balde

World Health Organization, WHO Guinea Office, Conakry, Guinea

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Plain Text BibTeX RIS

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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