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 |
Determinants, COVID-19, Refusal, CT-Epi, Hospitalization
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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
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
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
@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} }
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 -