Factors associated with time to recovery among COVID-19 patients in selected Zambian hospitals, 2020
Background: It is important to understand the time and factors associated with recovery to help improve response to the COVID-19 healthcare-related challenges and also to enhance information management. As a result, proof of the length of time it takes to recover from COVID-19 is required to develop...
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African Field Epidemiology Network
2024-02-01
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| Series: | Journal of Interventional Epidemiology and Public Health |
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| Online Access: | https://www.afenet-journal.net/content/article/7/4/full/ |
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| author | Kelvin Mwangilwa John Simwanza Samson Shumba Angela Gama Musole Chipoya Patrick Sakubita Nelia Mulambya Chikama Mukwangole Davies Simwaba Mazyanga Liwewe Moses Mwale Nyambe Sinyange Anayawa Nyambe Nkomba Kayeyi Muzala Kapina Joseph Mumba Zulu Peter Chipimo Nathan Kapata Isaac Fwemba Victor Mukonka Paul Msanzya Zulu |
| author_facet | Kelvin Mwangilwa John Simwanza Samson Shumba Angela Gama Musole Chipoya Patrick Sakubita Nelia Mulambya Chikama Mukwangole Davies Simwaba Mazyanga Liwewe Moses Mwale Nyambe Sinyange Anayawa Nyambe Nkomba Kayeyi Muzala Kapina Joseph Mumba Zulu Peter Chipimo Nathan Kapata Isaac Fwemba Victor Mukonka Paul Msanzya Zulu |
| author_sort | Kelvin Mwangilwa |
| collection | DOAJ |
| description | Background: It is important to understand the time and factors associated with recovery to help improve response to the COVID-19 healthcare-related challenges and also to enhance information management. As a result, proof of the length of time it takes to recover from COVID-19 is required to develop effective treatment and prevention approaches. This study estimated the duration to recovery and related parameters of COVID-19-infected patients in Zambia for cases diagnosed between March 18 and June 26, 2020.
Methods: The retrospective study examined 705 patients admitted to the fourteen COVID-19 isolation hospitals across Zambia. All COVID-19 tests used the RT-PCR of nasopharyngeal swabs. Recovery is operationally defined as a patient who presented a negative COVID-19 test on day 14 and was considered to have recovered. The Akaike Information Criteria (AIC) and Bayesian information criteria (BIC) were used to fit parametric models and pick the best predictive model.
Results: Median time to recovery in the quarantine facilities was found to be 12 days (IQR 10-17). Out of 705 patients, 535 (75.9%) recovered within the median days of 14 days while 170 (24.1%) did not recover within the 14 days. In the adjusted model, a year increase in age of patients delayed time to recovery by 0.4% (ATR: 1.004, 95%CI; 1.002, 1.007; p=0.001). Similarly, patients admitted with shortness of breath had a delayed time to recovery by a factor of 11.4% (ATR: 1.114, 95%CI; 1.018, 1.221; p=0.019) compared to those with no shortness of breath.
Conclusion: Age and shortness of breath at admission were associated with longer hospital stay among COVID-19 patients. These factors should be considered by program managers while making plans and policy recommendations for improved service delivery. |
| format | Article |
| id | doaj-art-d84dfc43a0e1484db2176b03502dca4e |
| institution | Kabale University |
| issn | 2664-2824 |
| language | English |
| publishDate | 2024-02-01 |
| publisher | African Field Epidemiology Network |
| record_format | Article |
| series | Journal of Interventional Epidemiology and Public Health |
| spelling | doaj-art-d84dfc43a0e1484db2176b03502dca4e2025-08-20T03:48:03ZengAfrican Field Epidemiology NetworkJournal of Interventional Epidemiology and Public Health2664-28242024-02-01711https://doi.org/10.37432/jieph.2024.7.1.95Factors associated with time to recovery among COVID-19 patients in selected Zambian hospitals, 2020Kelvin Mwangilwa0John Simwanza1Samson Shumba2Angela Gama3Musole Chipoya4Patrick Sakubita5Nelia Mulambya6Chikama Mukwangole7Davies Simwaba8Mazyanga Liwewe9Moses Mwale10Nyambe Sinyange11Anayawa Nyambe12Nkomba Kayeyi13Muzala Kapina14Joseph Mumba Zulu15Peter Chipimo16Nathan Kapata17Isaac Fwemba18Victor Mukonka19 Paul Msanzya Zulu20Zambia National Public Health Institute, 13 Reedbuck Road, Kabulonga, Lusaka, ZambiaZambia National Public Health Institute, 13 Reedbuck Road, Kabulonga, Lusaka, ZambiaWorld Health Organization, P.O Box 32346, Lusaka, ZambiaZambia National Public Health Institute, 13 Reedbuck Road, Kabulonga, Lusaka, ZambiaZambia National Public Health Institute, 13 Reedbuck Road, Kabulonga, Lusaka, ZambiaZambia National Public Health Institute, 13 Reedbuck Road, Kabulonga, Lusaka, ZambiaZambia National Public Health Institute, 13 Reedbuck Road, Kabulonga, Lusaka, ZambiaZambia National Public Health Institute, 13 Reedbuck Road, Kabulonga, Lusaka, ZambiaZambia National Public Health Institute, 13 Reedbuck Road, Kabulonga, Lusaka, ZambiaZambia National Public Health Institute, 13 Reedbuck Road, Kabulonga, Lusaka, ZambiaWorld Health Organization, P.O Box 32346, Lusaka, ZambiaZambia National Public Health Institute, 13 Reedbuck Road, Kabulonga, Lusaka, ZambiaZambia National Public Health Institute, 13 Reedbuck Road, Kabulonga, Lusaka, ZambiaZambia National Public Health Institute, 13 Reedbuck Road, Kabulonga, Lusaka, ZambiaZambia National Public Health Institute, 13 Reedbuck Road, Kabulonga, Lusaka, ZambiaUniversity of Zambia, School of Public Health, P.O. Box 5010, Ridgeway Campus, Lusaka, ZambiaZambia National Public Health Institute, 13 Reedbuck Road, Kabulonga, Lusaka, ZambiaZambia National Public Health Institute, 13 Reedbuck Road, Kabulonga, Lusaka, ZambiaUniversity of Zambia, School of Public Health, P.O. Box 5010, Ridgeway Campus, Lusaka, ZambiaZambia National Public Health Institute, 13 Reedbuck Road, Kabulonga, Lusaka, Zambia; Levy Mwanawasa Medical University, P.O Box 33991, Lusaka, ZambiaZambia National Public Health Institute, 13 Reedbuck Road, Kabulonga, Lusaka, ZambiaBackground: It is important to understand the time and factors associated with recovery to help improve response to the COVID-19 healthcare-related challenges and also to enhance information management. As a result, proof of the length of time it takes to recover from COVID-19 is required to develop effective treatment and prevention approaches. This study estimated the duration to recovery and related parameters of COVID-19-infected patients in Zambia for cases diagnosed between March 18 and June 26, 2020. Methods: The retrospective study examined 705 patients admitted to the fourteen COVID-19 isolation hospitals across Zambia. All COVID-19 tests used the RT-PCR of nasopharyngeal swabs. Recovery is operationally defined as a patient who presented a negative COVID-19 test on day 14 and was considered to have recovered. The Akaike Information Criteria (AIC) and Bayesian information criteria (BIC) were used to fit parametric models and pick the best predictive model. Results: Median time to recovery in the quarantine facilities was found to be 12 days (IQR 10-17). Out of 705 patients, 535 (75.9%) recovered within the median days of 14 days while 170 (24.1%) did not recover within the 14 days. In the adjusted model, a year increase in age of patients delayed time to recovery by 0.4% (ATR: 1.004, 95%CI; 1.002, 1.007; p=0.001). Similarly, patients admitted with shortness of breath had a delayed time to recovery by a factor of 11.4% (ATR: 1.114, 95%CI; 1.018, 1.221; p=0.019) compared to those with no shortness of breath. Conclusion: Age and shortness of breath at admission were associated with longer hospital stay among COVID-19 patients. These factors should be considered by program managers while making plans and policy recommendations for improved service delivery.https://www.afenet-journal.net/content/article/7/4/full/corona virussurvival analysisparametric modellog-logistic regression model |
| spellingShingle | Kelvin Mwangilwa John Simwanza Samson Shumba Angela Gama Musole Chipoya Patrick Sakubita Nelia Mulambya Chikama Mukwangole Davies Simwaba Mazyanga Liwewe Moses Mwale Nyambe Sinyange Anayawa Nyambe Nkomba Kayeyi Muzala Kapina Joseph Mumba Zulu Peter Chipimo Nathan Kapata Isaac Fwemba Victor Mukonka Paul Msanzya Zulu Factors associated with time to recovery among COVID-19 patients in selected Zambian hospitals, 2020 Journal of Interventional Epidemiology and Public Health corona virus survival analysis parametric model log-logistic regression model |
| title | Factors associated with time to recovery among COVID-19 patients in selected Zambian hospitals, 2020 |
| title_full | Factors associated with time to recovery among COVID-19 patients in selected Zambian hospitals, 2020 |
| title_fullStr | Factors associated with time to recovery among COVID-19 patients in selected Zambian hospitals, 2020 |
| title_full_unstemmed | Factors associated with time to recovery among COVID-19 patients in selected Zambian hospitals, 2020 |
| title_short | Factors associated with time to recovery among COVID-19 patients in selected Zambian hospitals, 2020 |
| title_sort | factors associated with time to recovery among covid 19 patients in selected zambian hospitals 2020 |
| topic | corona virus survival analysis parametric model log-logistic regression model |
| url | https://www.afenet-journal.net/content/article/7/4/full/ |
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