Antibiotic Use in Suspected and Confirmed COVID-19 Patients Admitted to Health Facilities in Sierra Leone in 2020–2021: Practice Does Not Follow Policy
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Design
2.2. Study Setting
2.3. Diagnosis and Management of COVID-19 Patients
2.4. AWaRe Classification
2.5. Study Population and Period
2.6. Data Variables, Data Sources, and Data Collection
2.7. Data Entry and Analysis
3. Results
3.1. Patients with Confirmed COVID-19
3.2. Patients with Suspected COVID-19
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Alsan, M.; Schoemaker, L.; Eggleston, K.; Kammili, N.; Kolli, P.; Bhattacharya, J. Out-of-pocket health expenditures and antimicrobial resistance in low-income and middle-income countries: An economic analysis. Lancet Infect. Dis. 2015, 15, 1203–1210. [Google Scholar] [CrossRef] [Green Version]
- Jasovský, D.; Littmann, J.; Zorzet, A.; Cars, O. Antimicrobial resistance-a threat to the world’s sustainable development. Ups. J. Med. Sci. 2016, 121, 159–164. [Google Scholar] [CrossRef] [Green Version]
- Talebi Bezmin Abadi, A.; Rizvanov, A.A.; Haertlé, T.; Blatt, N.L. World Health Organization Report: Current Crisis of Antibiotic Resistance. BioNanoScience 2019, 9, 778–788. [Google Scholar] [CrossRef]
- Murray, C.J.L.; Ikuta, K.S.; Sharara, F.; Swetschinski, L.; Robles Aguilar, G.; Gray, A.; Han, C.; Bisignano, C.; Rao, P.; Wool, E.; et al. Global burden of bacterial antimicrobial resistance in 2019: A systematic analysis. Lancet 2022, 399, 629–655. [Google Scholar] [CrossRef]
- Edelstein, M.; Agbebiyi, A.; Ashiru-Oredope, D.; Hopkins, S. Trends and patterns in antibiotic prescribing among out-of-hours primary care providers in England, 2010–2014. J. Antimicrob. Chemother. 2017, 72, 3490–3495. [Google Scholar] [CrossRef]
- Zhang, Z.; Hu, Y.; Zou, G.; Lin, M.; Zeng, J.; Deng, S.; Zachariah, R.; Walley, J.; Tucker, J.D.; Wei, X. Antibiotic prescribing for upper respiratory infections among children in rural China: A cross-sectional study of outpatient prescriptions. Glob. Health Action 2017, 10, 1287334. [Google Scholar] [CrossRef] [Green Version]
- Sartelli, M.; Weber, D.G.; Ruppé, E.; Bassetti, M.; Wright, B.J.; Ansaloni, L.; Catena, F.; Coccolini, F.; Abu-Zidan, F.M.; Coimbra, R.; et al. Antimicrobials: A global alliance for optimizing their rational use in intra-abdominal infections (AGORA). World J. Emerg. Surg. 2016, 11, 33. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- IACG. Future Global Governance for Antimicrobial Resistance; IACG: Geneva, Switzerland, 2018. [Google Scholar]
- Mhondoro, M.; Ndlovu, N.; Bangure, D.; Juru, T.; Gombe, N.T.; Shambira, G.; Nsubuga, P.; Tshimanga, M. Trends in antimicrobial resistance of bacterial pathogens in Harare, Zimbabwe, 2012–2017: A secondary dataset analysis. BMC Infect. Dis. 2019, 19, 746. [Google Scholar] [CrossRef] [PubMed]
- Volpi, C.; Shehadeh, F.; Mylonakis, E. Correlation of antimicrobial prescription rate and county income in medicare part D. Medicine 2019, 98, e15914. [Google Scholar] [CrossRef] [PubMed]
- Abubakar, U. Antibiotic use among hospitalized patients in northern Nigeria: A multicenter point-prevalence survey. BMC Infect. Dis. 2020, 20, 86. [Google Scholar] [CrossRef] [Green Version]
- Chui, C.S.L.; Cowling, B.J.; Lim, W.W.; Hui, C.K.M.; Chan, E.W.; Wong, I.C.K.; Wu, P. Patterns of Inpatient Antibiotic Use Among Public Hospitals in Hong Kong from 2000 to 2015. Drug Saf. 2020, 43, 595–606. [Google Scholar] [CrossRef] [PubMed]
- Lee, C.; Walker, S.A.; Daneman, N.; Elligsen, M.; Palmay, L.; Coburn, B.; Simor, A. Point prevalence survey of antimicrobial utilization in a Canadian tertiary-care teaching hospital. J. Epidemiol. Glob. Health 2015, 5, 143–150. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Spivak, E.S.; Cosgrove, S.E.; Srinivasan, A. Measuring Appropriate Antimicrobial Use: Attempts at Opening the Black Box. Clin. Infect. Dis. 2016, 63, 1–6. [Google Scholar] [CrossRef] [Green Version]
- Kabba, J.A.; James, P.B.; Li, Z.; Hanson, C.; Chang, J.; Kitchen, C.; Jiang, M.; Zhao, M.; Yang, C.; Fang, Y. Prescribing for Patients Seeking Maternal and Child Healthcare in Sierra Leone: A Multiregional Retrospective Cross-Sectional Assessments of Prescribing Pattern Using WHO Drug Use Indicators. Risk Manag. Healthc. Policy 2020, 13, 2525–2534. [Google Scholar] [CrossRef] [PubMed]
- Giraldi, G.; Montesano, M.; Napoli, C.; Frati, P.; La Russa, R.; Santurro, A.; Scopetti, M.; Orsi, G.B. Healthcare-Associated Infections Due to Multidrug-Resistant Organisms: A Surveillance Study on Extra Hospital Stay and Direct Costs. Curr. Pharm. Biotechnol. 2019, 20, 643–652. [Google Scholar] [CrossRef]
- Strathdee, S.A.; Davies, S.C.; Marcelin, J.R. Confronting antimicrobial resistance beyond the COVID-19 pandemic and the 2020 US election. Lancet 2020, 396, 1050–1053. [Google Scholar] [CrossRef]
- MacIntyre, C.R.; Bui, C.M. Pandemics, public health emergencies and antimicrobial resistance-putting the threat in an epidemiologic and risk analysis context. Arch. Public Health 2017, 75, 54. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Hsu, J. How COVID-19 is accelerating the threat of antimicrobial resistance. BMJ 2020, 369, m1983. [Google Scholar] [CrossRef] [PubMed]
- Douglas, M.; Katikireddi, S.V.; Taulbut, M.; McKee, M.; McCartney, G. Mitigating the wider health effects of COVID-19 pandemic response. BMJ 2020, 369, m1557. [Google Scholar] [CrossRef]
- Nicola, M.; Alsafi, Z.; Sohrabi, C.; Kerwan, A.; Al-Jabir, A.; Iosifidis, C.; Agha, M.; Agha, R. The socio-economic implications of the coronavirus pandemic (COVID-19): A review. Int. J. Surg. 2020, 78, 185–193. [Google Scholar] [CrossRef]
- Grein, J.; Ohmagari, N.; Shin, D.; Diaz, G.; Asperges, E.; Castagna, A.; Feldt, T.; Green, G.; Green, M.L.; Lescure, F.-X.; et al. Compassionate Use of Remdesivir for Patients with Severe COVID-19. N. Engl. J. Med. 2020, 382, 2327–2336. [Google Scholar] [CrossRef] [PubMed]
- World Health Organization. Therapeutics and COVID-19 Living Guideline; WHO: Geneva, Switzerland, 2020. [Google Scholar]
- Seaton, R.A.; Gibbons, C.L.; Cooper, L.; Malcolm, W.; McKinney, R.; Dundas, S.; Griffith, D.; Jeffreys, D.; Hamilton, K.; Choo-Kang, B.; et al. Survey of antibiotic and antifungal prescribing in patients with suspected and confirmed COVID-19 in Scottish hospitals. J. Infect. 2020, 81, 952–960. [Google Scholar] [CrossRef] [PubMed]
- World Bank. Current Health Expenditure (% of GDP)-Sierra Leone. Available online: https://data.worldbank.org/indicator/SH.XPD.CHEX.GD.ZS?locations=SL (accessed on 17 September 2020).
- World Health Organization. The 2019 WHO AWaRe Classification of Antibiotics for Evaluation and Monitoring of Use; World Health Organization: Geneva, Switzerland, 2019. [Google Scholar]
- Langford, B.J.; So, M.; Raybardhan, S.; Leung, V.; Soucy, J.R.; Westwood, D.; Daneman, N.; MacFadden, D.R. Antibiotic prescribing in patients with COVID-19: Rapid review and meta-analysis. Clin. Microbiol. Infect. 2021, 27, 520–531. [Google Scholar] [CrossRef]
- Statistics Sierra Leone. Sierra Leone 2015 Population and Housing Census: National Analytical Report; Statistics Sierra Leone: Freetown, Sierra Leone, 2017.
- Gandra, S.; Kotwani, A. Need to improve availability of “access” group antibiotics and reduce the use of "watch" group antibiotics in India for optimum use of antibiotics to contain antimicrobial resistance. J. Pharm. Policy Pract. 2019, 12, 20. [Google Scholar] [CrossRef]
- Hsia, Y.; Lee, B.R.; Versporten, A.; Yang, Y.; Bielicki, J.; Jackson, C.; Newland, J.; Goossens, H.; Magrini, N.; Sharland, M. Use of the WHO Access, Watch, and Reserve classification to define patterns of hospital antibiotic use (AWaRe): An analysis of paediatric survey data from 56 countries. Lancet Glob. Health 2019, 7, e861–e871. [Google Scholar] [CrossRef] [Green Version]
- Nguyen, N.V.; Do, N.T.T.; Nguyen, C.T.K.; Tran, T.K.; Ho, P.D.; Nguyen, H.H.; Vu, H.T.L.; Wertheim, H.F.L.; van Doorn, H.R.; Lewycka, S. Community-level consumption of antibiotics according to the AWaRe (Access, Watch, Reserve) classification in rural Vietnam. JAC-Antimicrob. Resist. 2020, 2, dlaa048. [Google Scholar] [CrossRef]
- Mariita, K.M.; Wanjala, A.N.; Maina, C.K. Characteristics and pharmacological management of COVID-19 patients admitted at a hospital in Nairobi, Kenya. Afr. J. Pharm. Pharmacol. 2021, 15, 92–100. [Google Scholar]
- Cortegiani, A.; Ingoglia, G.; Ippolito, M.; Giarratano, A.; Einav, S. A systematic review on the efficacy and safety of chloroquine for the treatment of COVID-19. J. Crit. Care 2020, 57, 279–283. [Google Scholar] [CrossRef]
- Kirenga, B.; Muttamba, W.; Kayongo, A.; Nsereko, C.; Siddharthan, T.; Lusiba, J.; Mugenyi, L.; Byanyima, R.K.; Worodria, W.; Nakwagala, F. Characteristics and outcomes of admitted patients infected with SARS-CoV-2 in Uganda. BMJ Open Respir. Res. 2020, 7, e000646. [Google Scholar] [CrossRef]
- Molla, M.M.A.; Yeasmin, M.; Islam, M.K.; Sharif, M.M.; Amin, M.R.; Nafisa, T.; Ghosh, A.K.; Parveen, M.; Arif, M.M.H.; Alam, J.A.J.; et al. Antibiotic Prescribing Patterns at COVID-19 Dedicated Wards in Bangladesh: Findings from a Single Center Study. Infect. Prev. Pract. 2021, 3, 100134. [Google Scholar] [CrossRef]
- Calderón-Parra, J.; Muiño-Miguez, A.; Bendala-Estrada, A.D.; Ramos-Martínez, A.; Muñez-Rubio, E.; Fernández Carracedo, E.; Tejada Montes, J.; Rubio-Rivas, M.; Arnalich-Fernandez, F.; Beato Pérez, J.L.; et al. Inappropriate antibiotic use in the COVID-19 era: Factors associated with inappropriate prescribing and secondary complications. Analysis of the registry SEMI-COVID. PLoS ONE 2021, 16, e0251340. [Google Scholar] [CrossRef] [PubMed]
- Martin, A.J.; Shulder, S.; Dobrzynski, D.; Quartuccio, K.; Pillinger, K.E. Antibiotic use and associated risk factors for antibiotic prescribing in COVID-19 hospitalized patients. J. Pharm. Pract. 2021. [Google Scholar] [CrossRef]
- Chen, N.; Zhou, M.; Dong, X.; Qu, J.; Gong, F.; Han, Y.; Qiu, Y.; Wang, J.; Liu, Y.; Wei, Y. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: A descriptive study. Lancet 2020, 395, 507–513. [Google Scholar] [CrossRef] [Green Version]
- Moolla, M.; Reddy, K.; Fwemba, I.; Nyasulu, P.; Taljaard, J.; Parker, A.; Louw, E.; Nortje, A.; Parker, M.; Lalla, U. Bacterial infection, antibiotic use and COVID-19: Lessons from the intensive care unit. S. Afr. Med. J. 2021, 111, 575–581. [Google Scholar] [PubMed]
- Tan, S.H.; Ng, T.M.; Tay, H.L.; Yap, M.Y.; Heng, S.T.; Loo, A.Y.X.; Teng, C.B.; Lee, T.H. A point prevalence survey to assess antibiotic prescribing in patients hospitalized with confirmed and suspected coronavirus disease 2019 (COVID-19). J. Glob. Antimicrob. Resist. 2021, 24, 45–47. [Google Scholar] [CrossRef]
- Adebisi, Y.A.; Jimoh, N.D.; Ogunkola, I.O.; Uwizeyimana, T.; Olayemi, A.H.; Ukor, N.A.; Lucero-Prisno, D.E. The use of antibiotics in COVID-19 management: A rapid review of national treatment guidelines in 10 African countries. Trop. Med. Health 2021, 49, 51. [Google Scholar] [CrossRef]
- Lansbury, L.; Lim, B.; Baskaran, V.; Lim, W.S. Co-infections in people with COVID-19: A systematic review and meta-analysis. J. Infect. 2020, 81, 266–275. [Google Scholar] [CrossRef]
Disease Severity | Signs and Symptoms | Antibiotic Use |
---|---|---|
Asymptomatic | No symptoms | No |
Mild | Fever, cough, fatigue, anorexia, shortness of breath, myalgia | No |
Moderate | Fever, cough, dyspnoea, fast breathing, SpO2 ≥ 90% on room air | Yes, only if suspicion of bacterial infection |
Severe | Fever, cough, dyspnoea, fast breathing, respiratory rate > 30 breaths/min, severe respiratory distress, SpO2 < 90% on room air | Yes, only if suspicion of bacterial infection |
Critical | Lobar or lung collapse, respiratory failure, PaO2/FiO2a ≤ 300 mmHg- PaO2/FiO2 ≤ 100 mmHg, acute life-threatening organ dysfunction, fast heart rate, weak pulse, cold extremities or low blood pressure, skin mottling, coagulopathy, thrombocytopenia, acidosis, high lactate, or hyperbilirubinemia. | Yes, within one hour of admission |
Variable | N | (%) |
---|---|---|
Region | ||
Urban | 254 | (36.3) |
Rural | 446 | (63.7) |
Sex | ||
Male | 406 | (58.0) |
Female | 288 | (41.1) |
Missing | 6 | (0.9) |
Age (years) | ||
0–14 | 62 | (8.9) |
15–24 | 103 | (14.7) |
25–34 | 165 | (23.6) |
35–44 | 118 | (16.9) |
45–54 | 95 | (13.6) |
55–64 | 74 | (10.6) |
≥65 | 80 | (11.4) |
Missing | 3 | (0.4) |
Disease classification | ||
Asymptomatic | 441 | (63.0) |
Mild | 160 | (22.9) |
Moderate | 24 | (3.4) |
Severe | 65 | (9.3) |
Missing | 10 | (1.4) |
Duration of admission | ||
<7 days | 116 | (16.6) |
7–14 days | 283 | (40.5) |
>14 days | 299 | (42.8) |
Variable | Total | Antibiotic Use N | (%) | PR | (95% CI) | aPR | 95% CI |
---|---|---|---|---|---|---|---|
Total | |||||||
Region | |||||||
Urban | 254 | 172 | (67.7) | 1.91 | (1.6–2.2) | 1.19 | (1.0–1.5) |
Rural | 446 | 158 | (35.4) | Ref | Ref | Ref | Ref |
Sex | |||||||
Male | 406 | 203 | (50.0) | Ref | Ref | Ref | Ref |
Female | 288 | 126 | (43.8) | 0.88 | (0.7–1.0) | 1.02 | (0.9–1.1) |
Age (years) | |||||||
0–14 | 62 | 26 | (41.9) | Ref | Ref | Ref | Ref |
15–24 | 103 | 45 | (43.7) | 1.04 | (0.7–1.5) | 0.97 | (0.7–1.4) |
25–34 | 165 | 49 | (29.7) | 0.71 | (0.5–1.0) | 0.64 * | (0.4–0.9) |
35–44 | 118 | 45 | (38.1) | 0.91 | (0.6–1.3) | 0.75 | (0.5–1.1) |
45–54 | 95 | 52 | (54.7) | 1.31 | (0.9–1.8) | 0.86 | (0.6–1.2) |
55–64 | 74 | 49 | (66.2) | 1.58 | (1.1–2.2) | 0.95 | (0.7–1.4) |
≥65 | 80 | 64 | (80.0) | 1.91 | (1.4–2.6) | 1.03 | (0.7–1.5) |
Disease classification | |||||||
Asymptomatic | 441 | 136 | (30.8) | Ref | Ref | Ref | Ref |
Mild | 160 | 121 | (75.6) | 2.45 | (2.1–2.9) | 2.00 * | (1.8–2.7) |
Moderate | 24 | 16 | (66.7) | 2.16 | (1.6–3.0) | 2.05 * | (1.5–2.8) |
Severe | 65 | 54 | (83.1) | 2.69 | (2.3–3.2) | 2.16 * | (1.9–2.9) |
Duration of admission | |||||||
<7 days | 116 | 66 | (56.9) | Ref | Ref | Ref | Ref |
7–14 days | 283 | 121 | (42.8) | 0.75 | (0.6–0.9) | 0.91 | (0.7–1.1) |
>14 days | 299 | 141 | (47.2) | 0.83 | (0.1–0.7) | 0.97 | (0.8–1.2) |
Variable | N | (%) |
---|---|---|
Location | ||
Urban | 584 | (77.4) |
Rural | 171 | (22.6) |
Sex | ||
Male | 369 | (48.9) |
Female | 385 | (51) |
Missing | 1 | (0.1) |
Age (years) | ||
0–14 | 67 | (8.9) |
15–24 | 119 | (15.8) |
25–34 | 205 | (27.2) |
35–44 | 161 | (21.3) |
45–54 | 94 | (12.4) |
55–64 | 49 | (6.5) |
≥65 | 59 | (7.8) |
Missing | 1 | (0.1) |
Variable | Total | Antibiotic Use N | (%) | PR | 95% CI | aPR | 95% CI |
---|---|---|---|---|---|---|---|
Location | |||||||
Urban | 584 | 319 | (54.6) | 0.65 | (0.6–0.7) | 0.67 * | (0.6–0.7) |
Rural | 171 | 144 | (84.2) | Ref | Ref | Ref | Ref |
Sex | |||||||
Male | 369 | 233 | (63.1) | Ref | Ref | Ref | Ref |
Female | 385 | 229 | (59.5) | 0.94 | (0.8–1.1) | 0.97 | (0.9–1.1) |
Age (years) | |||||||
0–14 | 67 | 26 | (38.8) | Ref | Ref | Ref | Ref |
15–24 | 119 | 75 | (63) | 1.62 | (1.2–2.3) | 1.54 * | (1.1–2.1) |
25–34 | 205 | 134 | (65.4) | 1.68 | (1.2–2.3) | 1.56 * | (1.1–2.1) |
35–44 | 161 | 93 | (57.8) | 1.49 | (1.1–2.1) | 1.41 * | (1.0–1.9) |
45–54 | 94 | 61 | (64.5) | 1.67 | (1.2–2.3) | 1.52 * | (1.1–2.1) |
55–64 | 49 | 33 | (67.4) | 1.73 | (1.2–2.5) | 1.63 * | (1.2–2.3) |
≥65 | 59 | 41 | (69.5) | 1.79 | (1.3–2.5) | 1.55 * | (1.1–2.2) |
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Kamara, I.F.; Kumar, A.M.V.; Maruta, A.; Fofanah, B.D.; Njuguna, C.K.; Shongwe, S.; Moses, F.; Tengbe, S.M.; Kanu, J.S.; Lakoh, S.; et al. Antibiotic Use in Suspected and Confirmed COVID-19 Patients Admitted to Health Facilities in Sierra Leone in 2020–2021: Practice Does Not Follow Policy. Int. J. Environ. Res. Public Health 2022, 19, 4005. https://doi.org/10.3390/ijerph19074005
Kamara IF, Kumar AMV, Maruta A, Fofanah BD, Njuguna CK, Shongwe S, Moses F, Tengbe SM, Kanu JS, Lakoh S, et al. Antibiotic Use in Suspected and Confirmed COVID-19 Patients Admitted to Health Facilities in Sierra Leone in 2020–2021: Practice Does Not Follow Policy. International Journal of Environmental Research and Public Health. 2022; 19(7):4005. https://doi.org/10.3390/ijerph19074005
Chicago/Turabian StyleKamara, Ibrahim Franklyn, Ajay M. V. Kumar, Anna Maruta, Bobson Derrick Fofanah, Charles Kuria Njuguna, Steven Shongwe, Francis Moses, Sia Morenike Tengbe, Joseph Sam Kanu, Sulaiman Lakoh, and et al. 2022. "Antibiotic Use in Suspected and Confirmed COVID-19 Patients Admitted to Health Facilities in Sierra Leone in 2020–2021: Practice Does Not Follow Policy" International Journal of Environmental Research and Public Health 19, no. 7: 4005. https://doi.org/10.3390/ijerph19074005
APA StyleKamara, I. F., Kumar, A. M. V., Maruta, A., Fofanah, B. D., Njuguna, C. K., Shongwe, S., Moses, F., Tengbe, S. M., Kanu, J. S., Lakoh, S., Mansaray, A. H. D., Selvaraj, K., Khogali, M., & Zachariah, R. (2022). Antibiotic Use in Suspected and Confirmed COVID-19 Patients Admitted to Health Facilities in Sierra Leone in 2020–2021: Practice Does Not Follow Policy. International Journal of Environmental Research and Public Health, 19(7), 4005. https://doi.org/10.3390/ijerph19074005