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High levels of surgical antibiotic prophylaxis: Implications for hospital-based antibiotic stewardship in Sierra Leone

Published online by Cambridge University Press:  07 July 2022

Sulaiman Lakoh*
Affiliation:
College of Medicine and Allied Health Sciences, University of Sierra Leone, Freetown, Sierra Leone Ministry of Health and Sanitation, Government of Sierra Leone, Freetown, Sierra Leone Sustainable Health Systems, Freetown, Sierra Leone Infectious Disease Research Network, Freetown, Sierra Leone
Joseph Sam Kanu
Affiliation:
College of Medicine and Allied Health Sciences, University of Sierra Leone, Freetown, Sierra Leone Ministry of Health and Sanitation, Government of Sierra Leone, Freetown, Sierra Leone
Sarah K. Conteh
Affiliation:
Ministry of Health and Sanitation, Government of Sierra Leone, Freetown, Sierra Leone
James B.W. Russell
Affiliation:
College of Medicine and Allied Health Sciences, University of Sierra Leone, Freetown, Sierra Leone Ministry of Health and Sanitation, Government of Sierra Leone, Freetown, Sierra Leone
Stephen Sevalie
Affiliation:
College of Medicine and Allied Health Sciences, University of Sierra Leone, Freetown, Sierra Leone Sustainable Health Systems, Freetown, Sierra Leone 34 Military Hospital, Freetown, Sierra Leone
Christine Ellen Elleanor Williams
Affiliation:
College of Medicine and Allied Health Sciences, University of Sierra Leone, Freetown, Sierra Leone Ministry of Health and Sanitation, Government of Sierra Leone, Freetown, Sierra Leone
Umu Barrie
Affiliation:
Infectious Disease Research Network, Freetown, Sierra Leone
Aminata Kadie Kabia
Affiliation:
34 Military Hospital, Freetown, Sierra Leone
Fatmata Conteh
Affiliation:
Ministry of Health and Sanitation, Government of Sierra Leone, Freetown, Sierra Leone
Mohamed Boie Jalloh
Affiliation:
College of Medicine and Allied Health Sciences, University of Sierra Leone, Freetown, Sierra Leone 34 Military Hospital, Freetown, Sierra Leone
Gibrilla F. Deen
Affiliation:
College of Medicine and Allied Health Sciences, University of Sierra Leone, Freetown, Sierra Leone Ministry of Health and Sanitation, Government of Sierra Leone, Freetown, Sierra Leone
Mustapha S. Kabba
Affiliation:
College of Medicine and Allied Health Sciences, University of Sierra Leone, Freetown, Sierra Leone Ministry of Health and Sanitation, Government of Sierra Leone, Freetown, Sierra Leone
Aiah Lebbie
Affiliation:
College of Medicine and Allied Health Sciences, University of Sierra Leone, Freetown, Sierra Leone Ministry of Health and Sanitation, Government of Sierra Leone, Freetown, Sierra Leone
Ibrahim Franklyn Kamara
Affiliation:
World Health Organization Country Office, Freetown, Sierra Leone
Bobson Derrick Fofanah
Affiliation:
World Health Organization Country Office, Freetown, Sierra Leone
Anna Maruta
Affiliation:
World Health Organization Country Office, Freetown, Sierra Leone
Christiana Kallon
Affiliation:
Ministry of Health and Sanitation, Government of Sierra Leone, Freetown, Sierra Leone
Foday Sahr
Affiliation:
College of Medicine and Allied Health Sciences, University of Sierra Leone, Freetown, Sierra Leone 34 Military Hospital, Freetown, Sierra Leone
Mohamed Samai
Affiliation:
College of Medicine and Allied Health Sciences, University of Sierra Leone, Freetown, Sierra Leone Ministry of Health and Sanitation, Government of Sierra Leone, Freetown, Sierra Leone
Olukemi Adekanmbi
Affiliation:
Department of Medicine, College of Medicine, University of Ibadan, Nigeria Department of Medicine, University College Hospital, Ibadan, Nigeria
Le Yi
Affiliation:
Tropical Disease Prevention and Control Center, Freeown, Sierra Leone
Xuejun Guo
Affiliation:
Tropical Disease Prevention and Control Center, Freeown, Sierra Leone
Rugiatu Z. Kamara
Affiliation:
US Center for Disease Control and Prevention, Freetown, Sierra Leone
Darlinda F. Jiba
Affiliation:
Ministry of Health and Sanitation, Government of Sierra Leone, Freetown, Sierra Leone
Joseph Chukwudi Okeibunor
Affiliation:
World Health Organization Regional Office for Africa, Brazzaville, Congo
George A. Yendewa
Affiliation:
Department of Medicine, Case Western Reserve University School of Medicine, Cleveland, Ohio, United States Division of Infectious Diseases and HIV Medicine, University Hospitals Cleveland Medical Center, Cleveland, Ohio, United States Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States
Emmanuel Firima*
Affiliation:
Clinical Research Unit, Department of Medicine, Swiss Tropical and Public Health Institute, Basel, Switzerland University of Basel, Basel, Switzerland SolidarMed, Maseru West, Lesotho Centre for Multidisciplinary Research and Innovation, Abuja, Nigeria
*
Author for correspondence: Dr. Emmanuel Firima, Clinical Research Unit, Department of Medicine, Swiss Tropical and Public Health Institute, Kreuzstrasse 2, 4123 Allschwil, Switzerland. E-mail: emanfirima@gmail.com. Or Dr. Sulaiman Lakoh, Department of Medicine, College of Medicine and Allied Health sciences, University of Sierra Leone, FQQ6+3MJ, Freetown, Sierra Leone. E-mail: lakoh2009@gmial.com
Author for correspondence: Dr. Emmanuel Firima, Clinical Research Unit, Department of Medicine, Swiss Tropical and Public Health Institute, Kreuzstrasse 2, 4123 Allschwil, Switzerland. E-mail: emanfirima@gmail.com. Or Dr. Sulaiman Lakoh, Department of Medicine, College of Medicine and Allied Health sciences, University of Sierra Leone, FQQ6+3MJ, Freetown, Sierra Leone. E-mail: lakoh2009@gmial.com

Abstract

Objective:

Despite the impact of inappropriate prescribing on antibiotic resistance, data on surgical antibiotic prophylaxis in sub-Saharan Africa are limited. In this study, we evaluated antibiotic use and consumption in surgical prophylaxis in 4 hospitals located in 2 geographic regions of Sierra Leone.

Methods:

We used a prospective cohort design to collect data from surgical patients aged 18 years or older between February and October 2021. Data were analyzed using Stata version 16 software.

Results:

Of the 753 surgical patients, 439 (58.3%) were females, and 723 (96%) had received at least 1 dose of antibiotics. Only 410 (54.4%) patients had indications for surgical antibiotic prophylaxis consistent with local guidelines. Factors associated with preoperative antibiotic prophylaxis were the type of surgery, wound class, and consistency of surgical antibiotic prophylaxis with local guidelines. Postoperatively, type of surgery, wound class, and consistency of antibiotic use with local guidelines were important factors associated with antibiotic use. Of the 2,482 doses administered, 1,410 (56.8%) were given postoperatively. Preoperative and intraoperative antibiotic use was reported in 645 (26%) and 427 (17.2%) cases, respectively. The most commonly used antibiotic was ceftriaxone 949 (38.2%) with a consumption of 41.6 defined daily doses (DDD) per 100 bed days. Overall, antibiotic consumption was 117.9 DDD per 100 bed days. The Access antibiotics had 72.7 DDD per 100 bed days (61.7%).

Conclusions:

We report a high rate of antibiotic consumption for surgical prophylaxis, most of which was not based on local guidelines. To address this growing threat, urgent action is needed to reduce irrational antibiotic prescribing for surgical prophylaxis.

Type
Original Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction in any medium, provided the original article is properly cited.
Copyright
© The Author(s), 2022. Published by Cambridge University Press on behalf of The Society for Healthcare Epidemiology of America

Highlights

  • For the first time, we have used the World Health Organization (WHO)–defined daily dose (DDD) to estimate antibiotic consumption in surgical prophylaxis in 4 hospitals located in 2 geographic regions of Sierra Leone.

  • There were a high rates of antibiotic use (723, 96%) and consumption (117.9 DDD per 100 bed days) in surgical antibiotic prophylaxis, which is consistent with local guidelines in only 410 (54.3%) surgeries.

  • The most commonly used antibiotic was ceftriaxone 949 (38.2%) with a consumption of 41.6 DDD per 100 bed days.

  • The Access antibiotics accounted for 72.7 DDD per 100 bed-days (61.7%), whereas consumption of the Watch antibiotics was 45.2 DDD per 100 bed-days (38.3%). No Reserve antibiotics were utilized.

  • Factors associated with preoperative antibiotic prophylaxis were the type of surgery, wound class, and consistency of surgical antibiotic prophylaxis with local guidelines. Postoperatively, surgical wound type and consistency of surgical antibiotic prophylaxis with local guidelines were important factors associated with antibiotic use.

Introduction

The discovery of antibiotics heralded a major success in the treatment and prevention of infectious diseases. 1 However, the positive impact of antibiotics on health and other development sectors is threatened by the global increase in the levels of antimicrobial resistance (AMR) and the decline in the discovery of new antibiotics. 2,Reference Hutchings, Truman and Wilkinson3

AMR is a growing public health problem because its global burden continues to increase and could reach an unprecedented level of 10 million deaths per year by 2050 if global efforts to control it are not mobilized. Reference Klein, Van Boeckel and Martinez4 In 2019 alone, the global deaths attributable to AMR were 1.27 million, making AMR the leading infectious cause of death after coronavirus disease 2019 (COVID-19) and tuberculosis (TB). Reference Murray, Ikuta and Sharara5

Antibiotic consumption has increased in low- and middle-income countries (LMICs) due to improving economies and high burden of infectious diseases. Reference Klein, Van Boeckel and Martinez4 Consequently, the burden of AMR in LMICs is much higher than in high-income countries. Reference Klein, Van Boeckel and Martinez4 This fact is reflected in the recent revelation that the West African subregion has the highest mortality burden due to bacterial AMR. Reference Murray, Ikuta and Sharara5

AMR prolongs hospital stays, increases morbidity and mortality, diverts financial resources that could be used to improve health, and threatens efforts to combat infectious diseases. Reference Giono-Cerezo, Santos-Preciado, Morfín-Otero, Torres-López and Alcántar-Curiel6,Reference Cox, Vlieghe and Mendelson7 In response to the numerous health and safety threats posed by AMR to populations, recent global efforts have been mobilized to prevent an increase in the burden of AMR. 8 Despite these efforts, many gaps in the global AMR prevention and control remain, including the lack of routine surveillance data on antibiotic use and consumption in many countries in sub-Saharan Africa. 2 At the national level, efforts are underway to reduce the AMR burden in Sierra Leone with support from the Fleming Fund. 9 Even so, our previous studies have shown many challenges in the prevention and control of AMR in the country. Some of these challenges include a high burden of extended-spectrum β-lactase (ESBL)–producing gram-negative bacteria and gaps in hand hygiene implementation. Reference Lakoh, Li, Sevalie and Guo10Reference Lakoh, Maruta and Kallon13

The abuse and overuse of antibiotics, including surgical antibiotic prophylaxis, is one of the main reasons for the increased burden of AMR. Reference McEwen and Collignon14,Reference Medina and Pieper15 The use of antibiotics is essential to preventing surgicalsite infections. In many cases in low-income countries, however, the use of antibiotics for surgical prophylaxis is often inappropriate, unnecessary, and can exacerbate antibiotic resistance. Reference de Jonge, Boldingh and Solomkin16,Reference Versporten, Zarb and Caniaux17 Therefore, data on the use and consumption of antibiotics for surgical prophylaxis in medical institutions are crucial for formulating and implementing policies to address the problem of inappropriate use of antibiotics for surgical prophylaxis. 2 Using this information, hospital-based antimicrobial stewardship programs are able to minimize or prevent the growing threat of AMR and can address the problem of limited access to essential antibiotics that are needed to treat infectious diseases affecting humans. Reference Cox, Vlieghe and Mendelson7

In this study, we assessed antibiotic use and consumption in surgical prophylaxis in 4 hospitals located in 2 geographic regions of Sierra Leone to inform antimicrobial stewardship interventions and monitor antibiotic consumption trends. The specific study objectives were (1) to determine the prevalence of antibiotic use for surgical prophylaxis, (2) to define the predictors of antibiotic use for surgical prophylaxis, (3) to evaluate antibiotics consumption using the 2021 Anatomical Therapeutic Chemical (ATC) and defined daily dose (DDD) method, 18,19 and (4) to identify patterns of antibiotic consumption using the WHO Access, Watch, and Reserve (AWaRe) classification system. 18,19

Methods and materials

Study design

In this study, we used a prospective cohort design to assess antibiotic use and consumption for surgical prophylaxis.

Study setting

We selected 4 hospitals for the study because they share similar characteristics with many secondary- and tertiary-care health facilities in Sierra Leone: Connaught Hospital (CH), Miliatary Hospital (MH), Makeni Government Hospital (MGH), and Lumley Government Hospital (LGH). LGH (42 beds) is a secondary-care facility, but the remaining 3 hospitals provide tertiary care. CH (300 beds), MH (181 beds), and LGH are in Freetown, the capital of Sierra Leone, with a population of 1 million, whereas MGH (207 beds) is located in a regional city, ∼170 km from the capital, with a catchment population of 606,544 or ∼8.6% of the Sierra Leonean population. 20 Although MGH is the only government-owned hospital in its catchment area, Freetown has 8 hospitals that provide surgical services, with a total capacity of 890 beds. The study was conducted on 523 hospital beds (69%) in Freetown.

With the exception of the national referral hospital (CH), which provides surgical services to the nonpregnant population, the remaining 3 hospitals provide surgical services to both pregnant and nonpregnant populations. All 4 hospitals are owned by the government of Sierra Leone. On average, each week, 20 adult patients undergo surgery at CH, 17 at MGH, 10 at MH, and 4 at LGH.

Study population and study duration

The study included all adult (18 years or older) patients who received elective and emergency surgical services at 4 hospitals between March 2021 and October 2021 as part of a surgical-site infection surveillance program. Because the surveillance program excluded patients with amputation or other bone surgery, data on prophylactic surgical antibiotics in these procedures could not be included in the study.

WHO standardized classification systems for antibiotic use and consumption

Various standardized classification systems were employed to categorize antibiotic use or consumption patterns. The WHO AWaRe framework classifies antibiotics used for surgical prophylaxis as listed in the WHO Model List of Essential Medicine. 18,21 The Access antibiotics have a low resistance potential and should always be available to treat common bacterial infections. 18 Because the Watch antibiotics are the highest-priority antimicrobials, they are key targets for monitoring the progress of hospital-based antimicrobial stewardship programs. 18 The Reserve antibiotics are the last-line, used to treat multidrug-resistant infections and are the target of national AMS programs. 18,21 When assessing antibiotic use in surgical prophylaxis, data were disaggregated by indication for surgical prophylaxis and related to the class of wound.

Antibiotic substances were further classified using the 2021 ATC classification system. 21 Using the ATC system, antibiotics used for surgical prophylaxis were classified according to their anatomical, therapeutic and/or pharmacological, and chemical properties into all levels of classification at the subgroup level (ie, level 3, ATC3) and the chemical substance level (ie, level 5, ATC5). 21 Antibiotic consumption was evaluated using the DDD per 100 bed days for each of the 4 hospitals. 21 In assessing antibiotic consumption, aggregated surgical antibiotic prophylaxis data were estimated for each hospital.

Data collection and analysis

Trained nurses collected the data in the Epicollect software platform (Epic, Verona WI) from the patient files and patient and/or ward nurse interviews. After collection, the data were extracted into Microsoft Excel (Microsoft, Redmond, WA), cleaned, coded, and then transferred into Stata version 16 software (StataCorp, College Station, TX) for analysis. Descriptive statistics such as frequencies and percentages were used to summarize demographic and clinical characteristics of study participants, as well as antibiotic consumption. The proportion of indications and the type or dose of surgical antibiotic prophylaxis consistent with the local antibiotic guidelines were determined using descriptive statistics. Binary logistic regression was employed to identify factors associated with antibiotic use. Results were adjusted for hospital variables and are presented for the pre- intra-, and postoperative periods. Firth correction was applied where observations were zero. A P value <.05 was considered statistically significant.

The DDD values were calculated by converting the total amount of antibiotic dispensed into grams, which were then divided by the WHO-assigned DDD based on the 2022 version of the ATC/DDD index. 21 To calculate DDD per 100 bed days, we divided consumption in DDD by bed days and multiplied by 100. A bed day was defined as an overnight stay in the hospital. We calculated the total DDD per 100 bed days in the sample and then determined the contributions to this total for the pre-, intra-, and postoperative periods, as well as for each antibiotic. We also calculated antibiotic consumption per 100 bed days for each hospital.

Ethical approval

Ethical approval was obtained from the Sierra Leone Ethics and Scientific Review Committee of the Ministry of Health and Sanitation, Government of Sierra Leone. Written informed consent was obtained from each participants.

Resuls

Demographic characteristics of study participants

In total, 753 patients underwent surgery during the study period. Most had their surgeries at Connaught Hospital (n = 245, 32.5%); most patients were female (439, 58.3%); and the median patient age was 30 years (IQR, 10–87). The sociodemographic characteristics of patients in the 4 hospitals are summarized in Table 1.

Table 1. Demographic Characteristics of Study Participants

Clinical characteristics of study participants

The surgical procedures considered in this study were abdominal surgeries (n = 388, 51.5%), caesarean sections (n = 309, 41%), and nonabdominal surgeries (n = 56, 7.4%). The wound classes were clean (n = 584, 77.6%), clean contaminated (n = 138, 18.3%), and contaminated (n = 31, 4.1%). Although >90% of surgical wounds in LGH, MH, and MGH were clean, fewer than half of the surgical wounds at CH were clean (n = 115, 46.9%).

Antibiotic use for surgical prophylaxis

Of the 753 total surgeries, 723 (96%) had at least 1 dose of antibiotics in at least 1 period (ie, pre-, intra-, or post-operative). Only 30 patients (4%) had surgery without any surgical antibiotic prophylaxis. In the preoperative period, 490 patients (65%) received antibiotics. Nearly all patients in MH and MGH (97.8% and 95.3%, respectively) received antibiotics during the preoperative period. Also, one-third (248, 33%) received antibiotics during surgery (ie, intraoperative period). In the postoperative period, 692 patients (92%) received antibiotics. Although CH administered antibiotics to 77% of its patients, LGH placed all of its patients on antibiotics, and almost all patients received antibiotics at MH and MGH (97.8% and 99.6%, respectively).

As shown in Table 2, only 410 patients (54.4%) had indications for surgical antibiotic prophylaxis consistent with local guidelines. Procedures with the most consistent indications for surgical antibiotic prophylaxis were reported in MGH (n = 211, 90.6%), making it the hospital with the highest compliance. Only 70 surgeries (28.6%) at CH had indications for antibiotic prophylaxis consistent with local guidelines.

Table 2. Clinical Characteristics of Study Participants

Factors associated with antibiotics use

Using binary logistic regression analysis and adjusting for hospitals, the significant factors associated with preoperative surgical antibiotic prophylaxis were the type of surgery, wound class, and consistency of surgical antibiotic prophylaxis with local guidelines. Abdominal surgeries were nearly 3 times more likely to receive antibiotics for surgical prophylaxis, (aOR, 2.7; 95% CI, 1.1–6.7; P = .034) than nonabdominal surgeries. Compared to clean wounds, antibiotics were 6 times more likely to be used in clean-contaminated wounds (aOR, 6.3; 95% CI, 2.3–16.8; P < .001) and 47 times more likely in contaminated wounds (aOR, 47.4; 95% CI, 14.5–155.4; P < .001). Preoperative patients were >3-fold more likely to receive antibiotics when they are indicated in the local guidelines (aOR, 3.4; 95% CI, 2.1–5.7; P < .001]. As in the preoperative period, abdominal surgeries accounted for a greater likelihood of receiving antibiotics (aOR, 3.6; 95% CI, 1.9–7.2; P < .001) postoperatively than nonabdominal surgeries.

Consumption of antibiotics

Of the 2,482 doses of antibiotics administered, 1,410 (56.8%) were given postoperatively. Preoperative and intraoperative antibiotic use was reported in 645 cases (26%) and 427 cases (17.2%), respectively. Among the hospitals, MH had the highest rate of antibiotic use (924 cases, 37.2%) followed by CH (635 cases, 25.6%), LGH (464 cases, 18.7%), and MGH (459 cases, 18.5%).

The most used antibiotic was ceftriaxone (949 cases, 38.2%) with consumption of 41.6 DDD per 100 bed days. Cefuroxime and clarithromycin were each administered only once (Table 4).

Table 3. Hospital-Adjusted Logistic Regression Showing Antibiotics Use in the pre- intra- and post- operative periods

Note. OR, odds ratio; CI, confidence interval.

Table 4. Antibiotics Administered and ATC Code, AWaRe Category, Frequency of Administration, and Contribution to Total Antibiotic Consumption (DDD per 100 Bed Days)

Note. DDD, defined daily dose.

The overall antibiotic consumption was 117.9 DDD per 100 bed days. The Access antibiotics accounted for 72.7 DDD per 100 bed days (61.7%), whereas consumption for the Watch antibiotics was 45.2 DDD per 100 bed days (38.3%) (Fig. 1a and b). Of the overall antibiotic consumption in the study, clean wounds accounted for 70.8% (83.5 DDD per 100 bed days); clean-contaminated wounds accounted for 17.6% (20.8 DDD per 100 bed days); and contaminated wounds accounted for 11.5% (13.6 DDD per 100 bed days). Consumption of antibiotics was highest in MH at 183.1 DDD per 100 bed days and was least in CH at 79.2 DDD per 100 bed days (Fig. 1c).

Fig. 1. (a) Total antibiotic consumption presented as DDD per 100 bed days by WHO AWaRe category showing contributions from preoperative, intraoperative, and postoperative periods. (b) Proportion of total antibiotic DDD per 100 bed days by WHO AWaRe category during preoperative, intraoperative, and postoperative periods. (c) Antibiotic consumption and (d) percentage consumption by WHO AWaRe category in 4 hospitals in Freetown, Sierra Leone. Note. CH, Connaught Hospital; LGH, Lumley Government Hospital; MH, Military Hospital; and MGH, Makeni Government Hospital.

The Access antibiotics had consistently higher total DDD per 100 bed days in the 3 periods (pre-, intra-, and postoperative). It was highest in the postoperative period at 59.9 DDD per 100 bed days. Its proportion ranged from 59.3% to 62.3% of total DDD per 100 bed days within the operative periods. Consumption rates for antibiotics in the Access category ranged from 47.2% in CH to 78.5% in MH. No antibiotics in the Reserve group were utilized. Other details on antibiotics consumption are shown in Figure 1.

Discussion

To the best of our knowledge, this is the first large-scale surgical antibiotic prophylaxis study in Sierra Leone. In this study, most patients received antibiotics for surgical prophylaxis, higher than the levels reported in Ghana, Gambia, and Turkey. Reference Bediako-Bowan, Owusu and Labi22Reference Kaya, Aktas and Senbayrak24 All 4 hospitals had a combined DDD of 117.9 per 100 bed days, which means that 1.179 DDD of antibiotic prophylaxis were administered for every procedure in these hospitals each day. The DDD reported in our study was higher than the DDD reported for surgical antibiotic prophylaxis in Nigeria (n = 17) and Indonesia (n = 30). Reference Abubakar, Syed Sulaiman and Adesiyun25,Reference Herawati, Yulia and Hak26 The high rates of antibiotic use in our setting may be due to a lack of oversight of rational antibiotic prescribing. This rate may be reduced by a functional antibiotic stewardship system. In 2019, a national antibiotic consumption study in Sierra Leone reported a DDD of 19 per 1,000 inhabitants per day. Reference Kanu, Khogali, Hann and Tao27 Although a direct comparison with this study is somewhat inappropriate due to differences in methodology and study setting, national antibiotic consumption of 19 DDD was much lower than the 117.9 DDD reported in our study. The large differences between national and hospital-based data suggest that estimates of antibiotic consumption can provide better information if studies are performed at different levels.

We identified gaps in our estimate of antibiotic consumption, which if not addressed urgently, could hinder the effort of the country in meeting the UN Sustainable Development Goals (ie, targets 3.1–3.3 and 3.8, and goal 6), especially for reducing AMR. 28 One of the priority gaps identified in this study is the high rate of surgical antibiotics prophylaxis that does not follow local guidelines. In nearly half of the patients, indications for antibiotic prophylaxis were inconsistent with the local antibiotic guidelines. Similarly, the dose or type of antibiotics used for surgical prophylaxis was inconsistent with local guidelines in 75% of the surgeries. This finding may be explained by the fact that although all the hospitals in this study have drugs and therapeutics committees, the committees have broader responsibilities, including procurement and supply chain management, and they cannot effectively carry out AMS activities. In 2017, the first antimicrobial guideline in Sierra Leone was developed at CH. Although there were plans to scale-up the use of these guidelines to other hospitals, their implementation has not been supported by local AMS activities, such as dedicated leadership and a multidisciplinary approach, which has hindered their effective use. Therefore, hospital administrators and policy makers should take urgent action to develop robust strategies to address the inappropriate surgical antibiotics prophylaxis in Sierra Leone. Functional hospital-based AMS programs are a good platform to protect available antibiotics and prevent the development of resistance. Reference Cox, Vlieghe and Mendelson29 Nonetheless, establishing an AMS program in a low-income country like Sierra Leone requires practical action and sustainable funding. Hence, support from the government and its partners is needed to set up and sustain AMS activities in hospitals.

Our study highlights significant differences in the pattern of antibiotic consumption in surgical prophylaxis, which is expected given the varying levels of service across these 4 hospitals. Paradoxically, however, the DDD of the national referral hospital that admitted more sick patients was lower than that of the other hospitals. This finding may be due to differences in human resources required for the rational use of antibiotics for surgical prophylaxis. A national oversight system for rational antibiotic prescribing in hospitals can address this variability in prescribing patterns.

The most common antibiotics used for surgical prophylaxis in this study were ceftriaxone, metronidazole, and ampicillin. This finding is consistent with our previous study Reference Lakoh, Adekanmbi and Jiba30 and with a study conducted in Nigeria, Reference Abubakar, Syed Sulaiman and Adesiyun25 but it differs from a study conducted in Turkey Reference Bozkurt, Kaya, Gulsun, Tekin, Deveci, Dayan and Hoşoglu31 and the WHO guidelines on surgical antibiotic prophylaxis. 32 This fact adds to the background rationale that surgical antibiotic prophylaxis should follow local normative guidance. Reference Cooper, Sneddon and Afriyie33

Antibiotics in the Access category are widely available and affordable and are used as first- or second-line treatment. 18 Most antibiotics used for surgical prophylaxis in this study were in the Access group and none were in the Reserve group, probably due to the unavailability of drugs in this group or perhaps due to their high cost. However, this finding shows good prescribing practice because the WHO guidelines recommend that at least 60% of total antibiotic consumption in any particular setting should be in the Access group. 32 In making this assertion, it is important to note that the AWaRe classification of antibiotics provides an overall national target and is not specifically designed to classify antibiotic use patterns in individual hospitals. Reference Gandra34 Owing to their higher resistance potential, Watch antibiotics should be a key target for AMS interventions, especially in hospitals where ceftriaxone (cf, in the Watch group) is the most common antibiotic used for surgical prophylaxis. Reference Hsia, Lee and Versporten35

Our study had both strengths and limitations. A large sample size of patients who received surgical services from 4 different hospitals in 2 geographic regions of Sierra Leone was included in this study. Although not nationally representative, this evidence provides insight into the wider use of antibiotics for surgical prophylaxis and can be used to promote and implement AMS programs. We used local unpublished antibiotic guidelines developed in 2017 to determine the appropriateness of indications, doses, and types of antibiotics for surgical prophylaxis. Because these guidelines were not developed based on local evidence, it may not represent the true picture of surgical antibiotic prophylaxis in this setting. Also, the study population was largely unbalanced, which may have affected the representation of pregnant women. We did not assess surgical antibiotic prophylaxis in private hospitals, which can be done in future research.

In conclusion, we report a high rate of antibiotic consumption for surgical prophylaxis, most of which was not based on antibiotic guidelines. To address this growing threat to global health security, key stakeholders in the AMR and infection prevention and control response should take immediate steps to reduce irrational antibiotic prescribing for surgical prophylaxis by establishing local normative guidelines and training healthcare workers to follow the surgical antibiotic prophylaxis guidelines.

Acknowledgments

We acknowledge the cooperation of the ward staff, patients, and patients’ relatives at the hospitals where the study was conducted.

Financial support

This work was supported by the Structured Operational Research and Training Initiative (SORT IT), a global partnership coordinated by TDR, the Special Programme for Research and Training in Tropical Diseases at the World Health Organization, and the UK Research and Innovation, as part of the Global Challenges Research Fund, (grant no. ES/P010873/1).

Conflicts of interest

E.F. receives a salary from the European Union Horizon 2020 research and innovation program under a Marie Skłodowska-Curie grant (no. 801076), through SSPH+ Global PhD Fellowship Programme in Public Health Sciences (GlobalP3HS). G.A.Y. reports salary support from the National Institutes of Health/AIDS Clinical Trials Group (grant nos. 5UM1AI068636-15, 5UM1AI069501-09, and AI068636 150GYD212) and consultancy fees from Pfizer.

References

WHO Global Action plan on antimicrobial resistance. World Health Organization website. https://www.who.int/publications/i/item/9789241509763. Published 2015. Accessed November 30, 2021.Google Scholar
WHO report on surveillance of antibiotic consumption, 2016–2018. World Health Organization website. https://www.who.int/publications/i/item/who-report-on-surveillance-of-antibiotic-consumption. Accessed November 30, 2021.Google Scholar
Hutchings, MI, Truman, AW, Wilkinson, B. Antibiotics: past, present, and future. Curr Opin Microbiol 2019;51:7280.CrossRefGoogle Scholar
Klein, EY, Van Boeckel, TP, Martinez, EM, et al. Global increase and geographic convergence in antibiotic consumption between 2000 and 2015. Proc Natl Acad Sci U S A. 2018;115:E3463E3470.CrossRefGoogle ScholarPubMed
Murray, C J L, Ikuta, KS, Sharara, F, et al. Global burden of bacterial antimicrobial resistance in 2019: a systematic analysis. Lancet 2022;399:629655.Google Scholar
Giono-Cerezo, S, Santos-Preciado, JI, Morfín-Otero, MDR, Torres-López, FJ, Alcántar-Curiel, MD. Antimicrobial resistance. Its importance and efforts to control it. Gac Med Mex 2020;156(2):171178.Google ScholarPubMed
Cox, JA, Vlieghe, E, Mendelson, M, et al. Antibiotic stewardship in low- and middle-income countries: the same but different? Clin Microbiol Infect 2017;23:812818.Google Scholar
United Nations high-level meeting on antimicrobial resistance. World Health Organization website. https://apps.who.int/mediacentre/events/2016/antimicrobial-resistance/en/index.html. Accessed December 3, 2021.Google Scholar
Sierra Leone AMR action plan. The Fleming Fund website. https://www.flemingfund.org/countries/sierra-leone/. Accessed January 31, 2022.Google Scholar
Lakoh, S, Li, L, Sevalie, S, Guo, X, et al. Antibiotic resistance in patients with clinical features of healthcare-associated infections in an urban tertiary hospital in Sierra Leone: a cross-sectional study. Antimicrob Resist Infect Control 202022;9:38.CrossRefGoogle Scholar
Lakoh, S, Yi, L, Sevalie, S, et al. Incidence and risk factors of surgical site infections and related antibiotic resistance in Freetown, Sierra Leone: a prospective cohort study. Antimicrob Resist Infect Control 2022;11:39.CrossRefGoogle ScholarPubMed
Lakoh, S, Firima, E, Williams, CEE, et al. An intra–COVID-19 assessment of hand hygiene facility, policy and staff compliance in two hospitals in Sierra Leone: is there a difference between regional and capital city hospitals? Trop Med Infect Dis 2021;6:204.Google Scholar
Lakoh, S, Maruta, A, Kallon, C, et al. How well are hand hygiene practices and promotion implemented in Sierra Leone? A cross-sectional study in 13 public hospitals. Int J Environ Res Public Health 2022;19:3787.CrossRefGoogle ScholarPubMed
McEwen, SA, Collignon, PJ. Antimicrobial resistance: a One Health perspective. Microbiol Spectr 2018. Mar; 6(2). doi: 10.1128/microbiolspec.ARBA-0009-2017.CrossRefGoogle ScholarPubMed
Medina, E, Pieper, DH. Tackling threats and future problems of multidrug-resistant bacteria. Curr Top Microbiol Immunol 2016;398:333.Google ScholarPubMed
de Jonge, SW, Boldingh, QJJ, Solomkin, JS, et al. Effect of postoperative continuation of antibiotic prophylaxis on the incidence of surgical site infection: a systematic review and meta-analysis. Lancet Infect Dis 2020;20:11821192.Google ScholarPubMed
Versporten, A, Zarb, P, Caniaux, I, et al. Antimicrobial consumption and resistance in adult hospital inpatients in 53 countries: results of an Internet-based global point prevalence survey. Lancet Glob Health 2018;6:e619e629. Erratum in: Lancet Glob Health 2018;6:e968.CrossRefGoogle ScholarPubMed
WHO access, watch, reserve, classification of antibiotics for evaluation and monitoring of use. 2021 AWaRe classification. World Health Organization website. https://www.who.int/publications/i/item/2021-aware-classification. Accessed December 3, 2021.Google Scholar
Guidelines for ATC classification and DDD assignment 2021. World Health Organization website. https://www.whocc.no/filearchive/publications/2021_guidelines_web.pdf. Accessed December 2, 2021.Google Scholar
2015 Population and housing census summary of final results. Sierra Leone statistics website. https://www.statistics.sl/images/StatisticsSL/Documents/final-results_-2015_population_and_housing_census.pdf. Published 2015. Accessed December 2, 2021.Google Scholar
WHO model list of essential medicines, 22nd list. World Health Organization website. https://apps.who.int/iris/bitstream/handle/10665/345533/WHO-MHP-HPS-EML-2021.02-eng.pdf. Published 2021. Accessed December 2, 2021.Google Scholar
Bediako-Bowan, AAA, Owusu, E, Labi, AK, et al. Antibiotic use in surgical units of selected hospitals in Ghana: a multicentre point-prevalence survey. BMC Public Health 2019;19:797.CrossRefGoogle Scholar
Aulakh, A, Idoko, P, Anderson, ST, Graham, W. Caesarean section wound infections and antibiotic use: a retrospective case series in a tertiary referral hospital in The Gambia. Trop Doct 2018;48:192199.CrossRefGoogle Scholar
Kaya, S, Aktas, S, Senbayrak, S, et al. An evaluation of surgical prophylaxis procedures in Turkey: a multi-center point prevalence study. Eurasian J Med 2016;48:2428.CrossRefGoogle ScholarPubMed
Abubakar, U, Syed Sulaiman, SA, Adesiyun, AG. Utilization of surgical antibiotic prophylaxis for obstetrics and gynaecology surgeries in northern Nigeria. Int J Clin Pharm 2018;40:10371043.CrossRefGoogle ScholarPubMed
Herawati, F, Yulia, R, Hak, E, et al. A retrospective surveillance of the antibiotics prophylactic use of surgical procedures in private hospitals in Indonesia. Hosp Pharm 2019;54:323329.CrossRefGoogle ScholarPubMed
Kanu, JS, Khogali, M, Hann, K, Tao, W, et al. National antibiotic consumption for human use in Sierra Leone (2017–2019): a cross-sectional study. Trop Med Infect Dis 2021;6:77.CrossRefGoogle ScholarPubMed
United Nations Sustainable Development Goals. United Nations website. https://sdgs.un.org/goals. Accessed March 1, 2022.CrossRefGoogle Scholar
Cox, J A, Vlieghe, E, Mendelson, M, et al. Antibiotic stewardship in low- and middle-income countries: the same but different? Clin Microbiol Infect 2017;23:812818.Google Scholar
Lakoh, S, Adekanmbi, O, Jiba, DF, et al. Antibiotic use among hospitalized adult patients in a setting with limited laboratory infrastructure in Freetown, Sierra Leone, 2017–2018. Int J Infect Dis 2020;90:7176.CrossRefGoogle Scholar
Bozkurt, F, Kaya, S, Gulsun, S, Tekin, R, Deveci, Ö, Dayan, S, Hoşoglu, S. Assessment of perioperative antimicrobial prophylaxis using ATC/DDD methodology. Int J Infect Dis 2013;17:e12127.CrossRefGoogle ScholarPubMed
WHO EML guidance on surgical antibiotic prophylaxis. World Health Organization website. https://www.who.int/selection_medicines/committees/expert/22/applications/s6.2_surgical-antibiotic-prophylaxis.pdf. Accessed February 28, 2022.Google Scholar
Cooper, L, Sneddon, J, Afriyie, DK, et al. Supporting global antimicrobial stewardship: antibiotic prophylaxis for the prevention of surgical site infection in low- and middle-income countries (LMICs): a scoping review and meta-analysis. JAC Antimicrob Resist 2020;2:dlaa070.CrossRefGoogle ScholarPubMed
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.CrossRefGoogle ScholarPubMed
Hsia, Y, Lee, BR, Versporten, A, et al. 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 Global Health 2019;7:e861e871.CrossRefGoogle ScholarPubMed
Figure 0

Table 1. Demographic Characteristics of Study Participants

Figure 1

Table 2. Clinical Characteristics of Study Participants

Figure 2

Table 3. Hospital-Adjusted Logistic Regression Showing Antibiotics Use in the pre- intra- and post- operative periods

Figure 3

Table 4. Antibiotics Administered and ATC Code, AWaRe Category, Frequency of Administration, and Contribution to Total Antibiotic Consumption (DDD per 100 Bed Days)

Figure 4

Fig. 1. (a) Total antibiotic consumption presented as DDD per 100 bed days by WHO AWaRe category showing contributions from preoperative, intraoperative, and postoperative periods. (b) Proportion of total antibiotic DDD per 100 bed days by WHO AWaRe category during preoperative, intraoperative, and postoperative periods. (c) Antibiotic consumption and (d) percentage consumption by WHO AWaRe category in 4 hospitals in Freetown, Sierra Leone. Note. CH, Connaught Hospital; LGH, Lumley Government Hospital; MH, Military Hospital; and MGH, Makeni Government Hospital.