A-K Labi1, N Obeng-Nkrumah2, E Owusu3, S Bjerrum4, A Bediako-Bowan5, G Sunkwa-Mills6, C Akufo7, A P Fenny8, J A Opintan6, C Enweronu-Laryea9, S Debrah10, N Damale11, C Bannerman7, M J Newman6. 1. Department of Microbiology, Korle-Bu Teaching Hospital, Accra, Ghana. 2. Department of Medical Laboratory Sciences, School of Biomedical and Allied Health Sciences, College of Health Sciences, University of Ghana, Accra, Ghana. Electronic address: successfulnoahforchrist@yahoo.com. 3. Department of Medical Laboratory Sciences, School of Biomedical and Allied Health Sciences, College of Health Sciences, University of Ghana, Accra, Ghana. 4. Department of Public Health, Global Health Section, University of Copenhagen, Copenhagen, Denmark. 5. Department of Surgery, School of Medicine and Dentistry, College of Health Sciences, University of Ghana, Accra, Ghana. 6. Department of Medical Microbiology, School of Biomedical and Allied Health Sciences, College of Health Sciences, University of Ghana, Accra, Ghana. 7. Institutional Care Division, Ghana Health Service, Accra, PMB, Ministries-Accra, Ghana. 8. Institute of Statistics, Social and Economic Research, University of Ghana, Accra, Ghana. 9. Department of Child Health, School of Medicine and Dentistry, College of Health Sciences, University of Ghana, Accra, Ghana. 10. Department of Surgery, Cape Coast Teaching Hospital, Cape Coast, Ghana. 11. Department of Obstetrics and Gynaecology, Korle-Bu Teaching Hospital, Accra, Ghana.
Abstract
BACKGROUND: There is a paucity of data describing hospital-acquired infections (HAIs) in Africa. OBJECTIVE: To describe the prevalence and distribution of HAIs in acute care hospitals in Ghana. METHODS: Between September and December 2016, point-prevalence surveys were conducted in participating hospitals using protocols of the European Centre for Disease Prevention and Control. Medical records of eligible inpatients at or before 8am on the survey date were reviewed to identify HAIs present at the time of the survey. FINDINGS: Ten hospitals were surveyed, representing 32.9% of all acute care beds in government hospitals. Of 2107 inpatients surveyed, 184 HAIs were identified among 172 patients, corresponding to an overall prevalence of 8.2%. The prevalence values in hospitals ranged from 3.5% to 14.4%, with higher proportions of infections in secondary and tertiary care facilities. The most common HAIs were surgical site infections (32.6%), bloodstream infections (19.5%), urinary tract infections (18.5%) and respiratory tract infections (16.3%). Device-associated infections accounted for 7.1% of HAIs. For 12.5% of HAIs, a micro-organism was reported; the most commonly isolated micro-organism was Escherichia coli. Approximately 61% of all patients surveyed were on antibiotics; 89.5% of patients with an HAI received at least one antimicrobial agent on the survey date. The strongest independent predictors for HAI were the presence of an invasive device before onset of infection and duration of hospital stay. CONCLUSION: A low HAI burden was found compared with findings from other low- and middle-income countries.
BACKGROUND: There is a paucity of data describing hospital-acquired infections (HAIs) in Africa. OBJECTIVE: To describe the prevalence and distribution of HAIs in acute care hospitals in Ghana. METHODS: Between September and December 2016, point-prevalence surveys were conducted in participating hospitals using protocols of the European Centre for Disease Prevention and Control. Medical records of eligible inpatients at or before 8am on the survey date were reviewed to identify HAIs present at the time of the survey. FINDINGS: Ten hospitals were surveyed, representing 32.9% of all acute care beds in government hospitals. Of 2107 inpatients surveyed, 184 HAIs were identified among 172 patients, corresponding to an overall prevalence of 8.2%. The prevalence values in hospitals ranged from 3.5% to 14.4%, with higher proportions of infections in secondary and tertiary care facilities. The most common HAIs were surgical site infections (32.6%), bloodstream infections (19.5%), urinary tract infections (18.5%) and respiratory tract infections (16.3%). Device-associated infections accounted for 7.1% of HAIs. For 12.5% of HAIs, a micro-organism was reported; the most commonly isolated micro-organism was Escherichia coli. Approximately 61% of all patients surveyed were on antibiotics; 89.5% of patients with an HAI received at least one antimicrobial agent on the survey date. The strongest independent predictors for HAI were the presence of an invasive device before onset of infection and duration of hospital stay. CONCLUSION: A low HAI burden was found compared with findings from other low- and middle-income countries.
Authors: Tien Viet Dung Vu; Marc Choisy; Thi Thuy Nga Do; Van Minh Hoang Nguyen; James I Campbell; Thi Hoi Le; Vu Trung Nguyen; Heiman F L Wertheim; Ngoc Thach Pham; Van Kinh Nguyen; H Rogier van Doorn Journal: Antimicrob Resist Infect Control Date: 2021-05-10 Impact factor: 4.887
Authors: Daniel Kwame Afriyie; Israel A Sefah; Jacqueline Sneddon; William Malcolm; Rachel McKinney; Lesley Cooper; Amanj Kurdi; Brian Godman; R Andrew Seaton Journal: JAC Antimicrob Resist Date: 2020-02-18