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Antimicrobial Resistance and Infection Control logoLink to Antimicrobial Resistance and Infection Control
. 2020 Sep 7;9:149. doi: 10.1186/s13756-020-00809-3

Point prevalence survey of antimicrobial use in three hospitals in North-Eastern Tanzania

Pius G Horumpende 1,2,3,, Stephen E Mshana 4, Elise F Mouw 5, Blandina T Mmbaga 1,2, Jaffu O Chilongola 1,2, Quirijn de Mast 5
PMCID: PMC7487761  PMID: 32894182

Abstract

Background

Antimicrobial resistance (AMR) is one of the most urgent global health threats with low-resource countries being disproportionately affected. Targeted interventions require insight in antibiotic prescription practices. A point prevalence survey (PPS) is a well-known tool to get insight in antibiotic dispensing practices in hospitals and identify areas for improvement. Here, we describe the results of a PPS performed in a tertiary, regional and district hospital in Kilimanjaro region in Tanzania.

Methods

A PPS was performed in the Kilimanjaro Christian Medical Centre (KCMC; tertiary hospital), Mawenzi (regional) and St. Joseph (district) hospital in November and December 2016. Antibiotic use in all patients admitted more than 24 h and those undergoing surgery was recorded. All clinical wards were included except the pediatrics. Data from a single ward were collected on the same day.

Results

A total of 399 patients were included in the PPS: 232 patients from KCMC, 94 from Mawenzi hospital and 73 patients from St. Joseph hospital. Overall prevalence of antibiotic use was 44.0%: 38% in KCMC, 59% in Mawenzi and 63% in St. Joseph. Ceftriaxone (n = 94, 29.8%), metronidazole (n = 79, 23.9%) and other antibiotics belonging to the penicillin class (n = 89, 28.3%) were most commonly prescribed. Antibiotics prescribed for surgical prophylaxis were continued for more than 3 days in 57% of cases.

Conclusion

Our study shows a rate of broad-spectrum antibiotic use in Tanzanian hospitals and prolonged surgical antibiotic prophylaxis being a common practice. PPS is an important tool to improve future antibiotic use in Tanzania hospitals.

Keywords: Antibiotic prescription, Antibiotic stewardship, Point prevalence survey, Antimicrobial resistance, Tanzania

Background

Antimicrobial resistance (AMR) is a serious threat to global health and human development [1]. Low-and middle-income countries (LMICs), including those in sub-Saharan Africa, suffer the highest AMR burden [24]. Recent surveys in hospitals across Tanzania showed a very high prevalence of colonization or infection with multidrug resistant (MDR) bacterial pathogens [5, 6]. In 2017, the National Action Plan on antimicrobial resistance was launched in Tanzania [7]. Reduction of inappropriate antibiotic use is among its priority policy. In order to identify areas for improvement and inform future policies, better insight into current antibiotic prescribing practices in hospital inpatients is needed.

Point prevalence surveys (PPS) are a well-established tool to measure the prevalence of antibiotic use in hospitals. Results can be used to identify targets for antimicrobial stewardship teams and improve local antimicrobial prescription practices [8]. Different studies have reported PPS results in health facilities in high income countries in Europe, the United States and Australia [913]. In contrast, only few studies have reported PPS results from health institutes in sub-Saharan Africa. Recently, a PPS performed among hospitals throughout Botswana found a high prevalence (70.6%) of antimicrobial use, as well as different areas for improvement [14]. A PPS performed in a referral hospital in Kenya reported comparable findings [15]. Overall, these reports support urgent need for additional reports of PPS results from different levels of health care in sub-Saharan Africa. Here, we report the results of a PPS performed in a tertiary, regional and district hospital in Northeastern Tanzania.

Methods

Setting and study area

This study was conducted in three hospitals located in Moshi Municipality in Kilimanjaro region in North-eastern Tanzania: the Kilimanjaro Christian Medical Centre (KCMC), Mawenzi Regional Hospital and St. Joseph Council Designated Hospital. KCMC has a 640-bed capacity and is the second largest consultant referral hospital in the country, serving patients from northern and central regions of Tanzania. KCMC comprises a Medical University College, which offers undergraduate and post-graduate training. It has a well-equipped clinical laboratory for patient care with a back-up advanced biotechnology laboratory. Most patients are referrals from regional or district hospitals. Mawenzi is a government-owned hospital with a 300-bed capacity and serves mainly the community of Kilimanjaro Region. In this hospital the patients are referrals from district hospitals or health centers. St. Joseph Hospital is a Catholic Church owned and Council Designated Hospital (CDH) for Moshi Municipal Council with a 100-bed capacity. The majority of patients are attended as the first point of care.

Study procedures

The survey took place on different days in November and December 2016. Data from inpatients admitted to the clinical wards, with the exception of the pediatric wards, were collected. Data of all patients on a single ward were collected on the same day. For all patients on a ward, it was recorded whether they used at least one systemic antibiotic at 8 a.m. on the day of the survey. In that case, additional data regarding the antibiotic use were entered. Data about antibiotic use was also recorded for patients who had undergone surgery and were administered antibiotics for surgical prophylaxis in the previous 24 h. Data were collected on a written form based on the European Centres for Disease Control and Prevention (ECDC) (https://www.ecdc.europa.eu/en/publications-data/point-prevalence-survey-healthcare-associated-infections-and-antimicrobial-use-3) standard protocol form for conducting a PPS [16]. The ECDC form was modified to make it suitable for this setting and is attached (Supplement 1). Data were retrieved from patient files and treatment charts on the wards and other information sources such as the laboratory database and the treating physician. Information collected consisted of patient characteristics, details on antibiotic use (route of administration, indication, duration of prophylaxis, diagnosis, note of prescription reason, switch from intravenous to oral), information about hospital acquired infections and whether or not laboratory investigations were done. The likelihood of an infection being present was determined by an infectious disease specialist based on the information on the forms.

Data management and analysis

Data were doubly entered in Open-Clinica (Open-Clinica LLC, MA, US). Descriptive statistics were used to summarize findings. Analyses were done using STATA statistical software version 15 (StataCorp, College Station, TX, USA).

Results

Data from a total of 399 patients were registered from which 232, 94 and 73 patients were from the KCMC, Mawenzi hospital and St. Joseph hospital, respectively. At the day of PPS, a total number of 176 patients (44%) were using antibiotics and 19 patients (4.8%) suffered from an active hospital acquired infection (Table 1).

Table 1.

Demographics

Characteristic n (%)
Patients included 399 (100)
 KCMC 232 (58.1)
 Mawenzi 94 (23.6)
 St. Joseph 73 (18.3)
Median age in years 42
Gender
 Male 162 (40.7)
 Female 233 (58.5)
 Not noted 2 (0.8)
Antibiotic prescribed 176 (44)
Antibiotics on admission 223 (56)
Active Hospital acquired infection 19 (4.8)

Table 2 summarizes the prevalence of antibiotic use per hospital and per department. Overall, prevalence of antibiotic use was 38% in KCMC, 59% in Mawenzi and 63% in St. Joseph.

Table 2.

Antibiotic use in the three hospitals

Ward Hospital
KCMC Mawenzi St. Joseph
Pts on antibiotics Total pts Prevalence (%) Pts on antibiotics Total pts Prevalence (%) Pts on antibiotics Total Prevalence (%)
Medical wards 26 75 35 20 31 65 26 42 62
Surgical wards total 62 157 40 35 63 56 20 31 65
 Surgery 11 34 32 19 29 66 5 8 63
 Urology 9 15 60 0 1 0
 Gynecology 24 53 45 16 33 48 15 23 65
 ENT 11 13 85
 Orthopedic 7 42 17
Total 88 232 38 55 94 59 46 73 63

Table 3 lists the antibiotics most commonly prescribed. In the three hospitals combined, ceftriaxone (n = 94; 28.5%), metronidazole (n = 79, 23.9%) and penicillins (n = 89; 26.9%) were the most commonly prescribed. Ceftriaxone was commonly prescribed in KCMC and St. Joseph, whereas penicillins (especially ampicillin and ampicillin-cloxacillin) were more commonly prescribed in the Mawenzi regional hospital. Meropenem was used in two patients in KCMC as treatment for a skin and soft tissue infection. (Table 3).

Table 3.

Frequencies of used antibiotics

KCMC
Number of prescriptions n (% of total)
Mawenzi
Number of prescriptions n (% of total)
St. Joseph
Number of prescriptions n (% of total)
Total
Number of prescriptions n (% of total)
Ceftriaxone 54 (35.8) 11 (11.2) 29 (35.8) 94 (28.5)
Chloramphenicol 2 (1.4) 0 (0.0) 0 (0.0) 2 (0.6)
Ciprofloxacin 2 (1.4) 0 (0.0) 2 (2.5) 4 (1.2)
Clindamycin 0 (0.0) 1 (1.0) 0 (0.0) 1 (0.3)
Trimethoprim/sulfamethoxazole 5 (7.0) 6 (6.1) 2 (2.5) 13 (3.9)
Doxycycline 1 (0.7) 1 (1.0) 3 (3.7) 5 (1.5)
Fluconazole 6 (7.7) 2 (2.0) 2 (2.5) 10 (3.0)
Gentamicin 8 (8.4) 7 (7.1) 7 (8.6) 22 (6.6)
Macrolides 3 (2.1) 0 (0.0) 1 (1.3) 4 (1.2)
Meropenem 2 (1.4) 0 (0.0) 0 (0.0) 2 (0.6)
Metronidazole 35 (23.2) 23 (23.5) 21 (26.3) 79 (23.9)
Penicillins 32 (21.2) 43 (43.9) 14 (17.3) 89 (26.9)
 Amoxicillin 11 (7.0) 5 (5.1) 2 (2.5) 18 (5.5)
 Amoxicillin - flucloxacillin 1 (0.7) 0 (0.0) 0 (0.0) 1 (0.3)
 Amoxicillin – clavulanic acid 3 (2.1) 0 (0.0) 0 (0.0) 3 (0.9)
 Ampicillin 2 (1.4) 20 (20.4) 1 (1.2) 23 (7.0)
 Ampicillin - cloxacillin 5 (3.3) 12 (12.2) 11 (13.6) 28 (8.5)
 Cloxacillin 6 (4.0) 5 (5.1) 0 (0.0) 11 (3.3)
 Benzylpenicillin 4 (2.6) 1 (1.0) 0 (0.0) 5 (1.5)
Total 151 98 81 330

The indications for antibiotics were treatment of a community acquired infection (n = 79; 42%), an acute hospital acquired infection (n = 19; 10%), surgical prophylaxis (n = 57; 30%) or medical prophylaxis (n = 1; 0.5%) and unknown reason (n = 21; 11%). The site of infections in community acquired infection were mostly skin and soft tissue infection (n = 18; 23%), lower respiratory tract (n = 16; 21%), genitourinary infection (n = 12; 15%), gastroenteritis/diarrhoea (n = 9; 12%) and sepsis (n = 4; 5%). Surgical prophylaxis was the indication for antibiotic prescription in respectively, 35, 24 and 30% in the KCMC, Mawenzi and St. Joseph. Antibiotics prescribed for surgical prophylaxis were ceftriaxone (n = 28; 49%), penicillins (n = 27; 47%), occasionally in combination with gentamicin (n = 1; 2%) and metronidazole (n = 1; 2%). Surgical prophylaxis is preferably limited to a single dose immediately before initiation of surgery [17]. However, all patients except one received multiple doses of antibiotics (Table 4) and surgical prophylaxis was continued > 3 days in more than half of patients.

Table 4.

Surgical prophylaxis practices

Single dose
n (%)
1 day
n (%)
2–3 days
n (%)
> 3 days
n (%)
KCMC (N = 30) 0 (0%) 1 (3%) 12 (40%) 17 (57%)
Mawenzi (N = 13) 0 (0%) 3 (23%) 2 (15%) 8 (62%)
St. Joseph (N = 14) 1 (7%) 1 (7%) 5 (36%) 7 (50%)
Total (N = 57) 1 (2%) 5 (9%) 19 (33%) 32 (56%)

Next, based on information on the survey forms, an infectious diseases specialist graded the likelihood of an infection in enrolled patients, except those receiving antibiotics for surgical prophylaxis. Overall, 36% of the antibiotics were given to cases in whom a bacterial infection was deemed unlikely (Table 5).

Table 5.

Likelihood of infection

Infection status KCMC (n (%)) Mawenzi (n (%)) St. Joseph (n (%)) Total (N (%))
Proven 16(25) 9(20) 4(12) 29(20)
Probable 7(11) 6(14) 11(32) 24(16)
Possible 20(31) 12(27) 10(29) 42(28)
Unlikely 22(34) 17(39) 9(26) 48(36)
Total 65(100) 44(100) 34(100) 143(100)

Additional assessments were done in KCMC: in 37 (42%) patient files, the precise reason for starting antibiotics was unclear. An antibiotic treatment plan, containing details on proposed duration of antibiotic therapy, was included in only 2% of files. Regarding additional examinations, measurement of biomarkers of inflammation (erythrocyte sedimentation rate or C-reactive protein), relevant radiology or a microbiology test were done in respectively 13 (15%), 21 (24%) and 12 (14%) of the patients. In 47% of the patients, no additional investigation had taken place. During the start of the antimicrobial treatment, only 3% (n = 3) of the treatment was targeted, i.e. based on the result of a bacterial culture.

Discussion

The results of the PPS in three hospitals from different levels of healthcare in Tanzania showed a prevalence of antibiotic use in hospital inpatients of 44%. This is comparable to results from African countries in the Global PPS (50%) as well as surveys from individual sub-Saharan African countries such as Botswana 70.6% [14] and Kenya 67.7% [15].

The prevalence of antibiotic use in the tertiary hospital (KCMC) was lower than in the regional and district hospital. This might be explained by more conservative antibiotic prescription practices in a teaching hospital, but also because of a lower prevalence of patients with infectious diseases.

The third-generation cephalosporin ceftriaxone and metronidazole were the most commonly prescribed antibiotics. Ceftriaxone was prescribed for both community and hospital-acquired infections, as well as for surgical prophylaxis. The frequent use of this broad-spectrum antibiotic in KCMC and hospitals across sub-Saharan Africa was reported earlier [18, 19]. Injudicious use of ceftriaxone may contribute to the high burden of AMR, including nosocomial infections with extended spectrum beta lactamase (ESBL)-producing Enterobacteriaceae, and complicate empirical treatment of severe bacterial infections. In view of the high prevalence of colonization and infections with ESBL positive Enterobacteriaceae in Tanzanian hospitals [2023], increasing use of carbapenems in the future can be anticipated. In an attempt to limit empiric carbapenem use, the Tanzanian National Health Insurance Fund (NHIF) implemented a policy in July 2016 that limits carbapenem coverage to infections with a positive bacterial culture and sensitivity [24]. At the time of the current PPS, carbapenem use was still infrequent.

Antibiotics for treatment of infections were frequently prescribed empirically without results of microbiologic or other examinations to guide treatment. With the increasing burden of AMR across hospitals in Tanzania, expansion of diagnostic facilities to guide antibiotic therapy in hospital inpatients is urgently needed.

Next to extensive prescription of broad-spectrum antibiotics, another identified key area for improvement was prolonged surgical prophylaxis. International guidelines recommend against prolonged surgical antibiotic prophylaxis [25]. Prolonged surgical prophylaxis is often given out of fear of surgical site infections, especially when basic hospital infection prevention and control measures are not in place [26]. Evidence from a randomized controlled, non-inferiority trial involving two rural hospitals in Tanzania, however, showed no superiority of multiple doses versus a single dose surgical prophylaxis in the prevention of surgical site infections after cesarian section [27].

Finally, documentation of an antibiotic plan was only available in the case notes of two patients. Efforts on documentation of an antibiotic plan are useful in promoting i.v. to oral orders, de-escalation strategies and avoidance of duplicate therapies [28, 29].

Our study has different limitations. First, at the time of the PPS, there was a low bed – occupancy probably because of being end of the year, giving an impression of a third of patients having been studied. Second, the PPS could not be on a single day for the entire hospital, but was performed on a single day per ward.

In conclusion, the results of the PPS show a high rate of broad-spectrum antibiotic use in Tanzanian hospitals. In addition, surgical antibiotic prophylaxis prolongation is common practice. PPS can be an important aid in improvement strategies of future antibiotic use in Tanzanian hospitals.

Supplementary information

13756_2020_809_MOESM1_ESM.docx (27.9KB, docx)

Additional file 1. Data collection tool: A modified European Centers for Disease Control and Prevention (ECDC) data collection tool for antimicrobial use.

Acknowledgements

We thank the Kilimanjaro Christian Medical Centre, Mawenzi Regional Hospital and St. Joseph’s hospital administration for the permission to conduct this study in their hospitals. We thank the Kilimanjaro Clinical Research Institute (KCRI) for providing logistical support for this study. We thank the medical directors of surveyed hospital departments and the physicians and nurses responsible for patient care for excellent collaboration in availing us space to work and patients’ files amidst busy work in the wards.

Authors’ informations

PGH: is a Clinical epidemiologist and senior Research Fellow in Kilimanjaro Clinical Research Institute (KCRI), Moshi, Tanzania.

SEM: is a Professor of Microbiology/Immunology and Deputy Vice – Chancellor of Catholic University of Health and Allied Sciences (CUHAS), Mwanza, Tanzania. He is also an Honorary Research Fellow,_St Andrews University_United Kingdom.

EFM: is a Trainee medical student in Radboud – umc, Nijmegen, The Netherlands.

BTM: is a Professor of Paediatrics and Child health and Director of Kilimanjaro Clinical Research Instiute (KCRI), Moshi, Tanzania.

JOC: is a Professor of Microbiology, immunology and molecular biology in Kilimanjaro Christian Medical University College (KCMUCo) and Deputy Director of Kilimanjaro Clinical Research Institute (KCRI), Moshi, Tanzania.

QdM: is a Professor of Infectious Diseases and Head,Department of Internal Medicine, Radboudumc Center for Infectious Diseases, Radboud University Medical Centre, Nijmegen, The Netherlands.

Abbreviations

KCMC

Kilimanjaro Christian Medical Centre

KCRI

Kilimanjaro Clinical Research Institute

MCMC

Military College of Medical Sciences

GMH

General Military Hospital

CUHAS

Catholic University of Health and Allied Sciences

AMR

Antimicrobial Resistance

LMIC

Low- and Middle-Income Countries

PPS

Point Prevalence Survey

CDH

Council Designated Hospital

ECDC

European Centre for Disease Prevention and Control

CRERC

College Research and Ethics Review Committee

ESBL

Extended Spectrum Beta Lactamases

NHIF

National Health Insurance Fund

Authors’ contributions

PGH and QdM designed this study and collected research data. PGH and EFM analysed and interpreted data. QdM designed data collection tool, assigned classification status of infection categories and determined HAI from data. PGH prepared the manuscript. QdM, SEM, BTM and JOC critically read and approved the final version of manuscript.

Funding

This work received funding from KCMC-Nijmegen International Collaboration (KNIC) in the form of training on antimicrobial stewardship and upkeep allowance for the first author (Pius Horumpende) in Radboud-umc, Nijmegen, The Netherlands. The last author (Quirijn de Mast) received funding through the same KNIC for international travel, data collection and general supervision of this work.

Availability of data and materials

The datasets generated and/or analysed during the current study are available in Kilimanjaro Clinical Research Institute (KCRI) in Moshi, Tanzania and is available on reasonable request.

Ethics approval and consent to participate

The study was approved by the Kilimanjaro Christian Medical University College Research and Ethics Review Committee (CRERC) under certificate number 892. Permission to conduct the study was granted from Mawenzi Regional Hospital, St. Joseph hospitals’ Medical Officers In-charge and the Kilimanjaro Christian Medical Centre (KCMC) Executive Director.

Consent for publication

Not applicable.

Competing interests

Authors declare no competing interests.

Footnotes

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Contributor Information

Pius G. Horumpende, Email: p.horumpende@kcri.ac.tz

Stephen E. Mshana, Email: stephen72mshana@gmail.com

Elise F. Mouw, Email: elise.mouw@hotmail.com

Blandina T. Mmbaga, Email: b.mmbaga@kcri.ac.tz

Jaffu O. Chilongola, Email: j.chilongola@kcri.ac.tz

Quirijn de Mast, Email: quirijn.demast@radboudumc.nl.

Supplementary information

Supplementary information accompanies this paper at 10.1186/s13756-020-00809-3.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

13756_2020_809_MOESM1_ESM.docx (27.9KB, docx)

Additional file 1. Data collection tool: A modified European Centers for Disease Control and Prevention (ECDC) data collection tool for antimicrobial use.

Data Availability Statement

The datasets generated and/or analysed during the current study are available in Kilimanjaro Clinical Research Institute (KCRI) in Moshi, Tanzania and is available on reasonable request.


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