| Literature DB >> 31986167 |
Roksana Hoque1, Syed Masud Ahmed1, Nahitun Naher1, Mohammad Aminul Islam2,3, Emily K Rousham4, Bushra Zarin Islam1, Shaikh Hassan1.
Abstract
BACKGROUND: Antimicrobial resistance (AMR) has become an emerging issue in the developing countries as well as in Bangladesh. AMR is aggravated by irrational use of antimicrobials in a largely unregulated pluralistic health system. This review presents a 'snap shot' of the current situation including existing policies and practices to address AMR, and the challenges and barriers associated with their implementation.Entities:
Mesh:
Substances:
Year: 2020 PMID: 31986167 PMCID: PMC6984725 DOI: 10.1371/journal.pone.0227947
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Literature review protocol.
| Synthesis of evidence on current scenario of antimicrobial use and misuse in all sectors in Bangladesh, level and extent of AMR, programmes/innovations for combating AMR including existing and emerging policies and practices | ||
| Synthesis of evidence on challenges and opportunities to combat AMR in Bangladesh by identifying barriers and facilitators | ||
| Make recommendations to inform policy and practice for combating AMR in Bangladesh based upon findings from literature review and from the perspective of One Health | ||
| What is the current scenario regarding use of antimicrobials among different population groups that predisposes to the emergence of AMR in Bangladesh? In the food animals and fishes? Contamination of environment and the food cycle? | ||
| What are the level and pattern of AMR in different geographic regions of Bangladesh? | ||
| What initiatives/stewardship/surveillance/other programmes have been taken to contain AMR in Bangladesh? The role of One Health approach to address the AMR problem? | ||
| What are the legal and policy frameworks including national action plan to combat AMR in Bangladesh? | ||
| Inclusion Criteria | AMR related study conducted in Bangladesh (e.g. use and misuse, AM related knowledge and practice including demand and supply side factors, existing AMR policies and strategies, AM use guidelines and stewardship programmes, AMR surveillance, One Health framework, etc.) | |
| Full text peer-reviewed journal; newspaper articles, blogs and other grey materials e.g., documents in the institutional websites | ||
| Both human, animal and its interconnection with environment-related research | ||
| Language: English | ||
| Exclusion criteria | Excluded countries other than Bangladesh | |
| Time frame | January 2010 –August 2019 | |
| Peer-reviewed articles | Google Scholar, PubMed, BiomedCentral, | |
| Grey literature | ||
| Institutional websites | (Ministry of) Health and Family Welfare; Fisheries and Livestock; Agriculture; Environment and Forest; Livestock Research Institute | |
| Journal websites | Bangladesh Pharmaceuticals Journal, Internal Journal of One Health, Journal of BD Agriculture University, Journal of Dhaka National Medical College Hospital, Bangladesh Journal of Pharmacology, South East Asia Journal of Public Health, Bangladesh Journals Online | |
Key terms used for searching electronic databases.
| AMR (combined by ‘OR’) (a) | Health sector (combined by ‘OR’) (b) | Geographic location (combined by ‘OR’) (c) |
|---|---|---|
| Antimicrobial resistance (AMR) One Health framework, Antibiotic stewardship, AMR surveillance, Knowledge and practices, Current scenario of AMR | Upazila Health Complex, Community Clinics, Primary Healthcare Centers, Tertiary hospitals, Government district hospitals, Private hospitals | Bangladesh |
** a,b,c groups were combined with Boolean operator ‘AND’
Fig 1PRISMA diagram for selecting articles on AMR scenario in Bangladesh for inclusion in the analysis.
Framework for analysis (themes and sub-themes).
| Theme | Sub-theme |
|---|---|
| Prescribing patterns and use of antimicrobials including patient compliance | Prescription pattern of antimicrobials and associated factors |
| Antimicrobial use in human including compliance | |
| Antimicrobial use in animal and agriculture | |
| Antimicrobial contamination of environment | |
| Perception of providers and users regarding rational use of antimicrobials including development of AMR | Perception regarding rational use of antimicrobials among users |
| Perception regarding rational use of antimicrobials among providers | |
| Knowledge and awareness regarding AMR | |
| Current policies and practices to address AMR situation in Bangladesh | Antimicrobial stewardship activities to address antimicrobial resistance in human, animal, and agricultural sectors |
| Current policies and strategies to prevent AMR in Bangladesh in humans | |
| Current policies and strategies to prevent AMR in Bangladesh in livestock, fisheries, agriculture and environment | |
| National Action Plan (NAP) on prevention of the emergence of, and containing, AMR in Bangladesh |
Summary of studies included for exploring different dimensions of antimicrobial resistance in human health (n = 36).
| Datta SK et al., 2016 [ | Cross-sectional (Prescription) study | Prescription pattern was studied from outpatients of a district hospital over three months | Antimicrobial prescribing and/or use | • Children were exposed to antibiotics (66%) more than the adults (44%); cephalosporin was most frequently prescribed (30%) |
| Fahad BM et al., 2010 [ | Cross-sectional (Treatment) study | Analysis of treatment records of 150 in-patients at a Primary Health Complex in Bangladesh | Antimicrobial prescribing and/or use | • Antibiotic prescription was highest for age groups 5–11 and 65+ years; males had 20% more antibiotics |
| Begum M et al., 2016 [ | Evaluation study | Evaluation of 300 randomly collected prescriptions from four hospitals in Dhaka | Antimicrobial prescribing and/or use | • 81% prescriptions had two antibiotics |
| Sayeed MA et al., 2015 [ | Cross-sectional (Prescription) study | 118 prescriptions were analyzed and 82 local pharmacies surveyed for daily sales of antibiotics in Chittagong city | Antimicrobial prescribing and/or use | • 69% of the prescriptions contained antibiotics; azithromycin and cefixime were most frequently prescribed by the physicians and sold at the pharmacies studied |
| Chowdhury F et al., 2018 [ | Impact evaluation study | 100 randomly selected pharmacies in Dhaka city; post-intervention survey after 6 months following one-day ARI management training | Antimicrobial prescribing and/or use | • For children, dispensing of antibiotics for uncomplicated ARI decreased (30% baseline vs. 21% post-intervention; p = 0.04), and referrals to physicians for complicated ARIs decreased (70% baseline vs. 58% post-intervention; p = 0.03) |
| Haque M (2017) [ | Multi-country review (including Bangladesh) | The articles were chosen by searching through Google and Google Scholar; Keywords used: antibiotics, use, prescribing, resistance, and the country. | A1ntimicrobial prescribing and/or use | • 50% of outpatient prescriptions in three cities in Bangladesh had antimicrobials; 25% had more than one antibiotic prescribed; 83% were prescribed without any laboratory tests; |
| Biswas M. et al., 2015 [ | Cross-sectional (prescription) study | 900 prescriptions from outpatients in three cities of Bangladesh analyzed to elicit practitioners’ prescribing habits and antibiotics-taking behaviour | Antimicrobial prescribing and/or use | • Antibiotics prescribed mainly for common cold and fever, infections, diarrhoea and gonorrhoea; antibiotic was given without any laboratory test in 64% of the cases |
| Ahmed S. et al., 2018 [ | Cross-sectional study | A total of 3,570 children aged <5 years presenting with diarrhoea in a tertiary level hospital | Antimicrobial prescribing and/or use | • The rate of antimicrobial prescribing and use at home was 39% compared to 89% during a hospital visit |
| Rashid M. et al., 2017 [ | Cross-sectional study | Children aged <5 years admitted with pneumonia at a private hospital in Dhaka | Antimicrobial prescribing and/or use | • 72.5% of patients received treatment before hospitalization; of them 46% received antibiotics before hospitalization |
| Ata M et al., 2019 [ | Cross-sectional study | 300 prescriptions collected from outpatient departments of a tertiary medical college hospital | antimicrobial prescribing and/or use | • Antibiotics were prescribed in 46% of the cases and injectable antibiotics in 20%; |
| Hoque R et al., 2015 [ | Cross-sectional study | Interns of the medicine, gynecology, and surgery departments of a hospital in Chattagram | antimicrobial prescribing and/or use | Majority of the respondents expressed confidence in making an accurate diagnosis, select appropriate antibiotics and advise correct dosage and duration (around 90%) |
| Islam MS et al., 2017 [ | Simulated patients study | Prescriptions for simulated patients collected (n = 320) from doctors selected randomly from public, private, sub-district health facilities | Antimicrobial prescribing and/or use | • 82% of patients were given more than 2 medicines and 71% were prescribed antibiotics |
| Arfeen S et al., 2014 [ | Cross-sectional study; in-depth interviews | Key prescribers of the BSMMU hospital | Antimicrobial prescribing and/or use | • 61% of key prescribers were aware of treatment guidelines; 72% followed institutional guidelines while 22% followed national guidelines |
| Ahmed SM et al., 2012 [ | Cross-sectional study | 30 Upazila Health Complexes (UHC) and 20 urban clinics (UC) in Dhaka | Antimicrobial prescribing and/or use | • An antibiotic was prescribed in 44% of instances |
| Faiz MA et al., 2011 [ | Review | Articles retrieved through search in Pubmed, Google and Banglajol | Antimicrobial prescribing and/or use | • There is no routine antimicrobial surveillance in Bangladesh |
| Chodhury A U et al., 2018 [ | Cross-sectional study | 1,100 prescriptions collected through encountering/interviewing outpatients at the exit point and at retail pharmacies | Antimicrobial prescribing and/or use | • 32% did not appear to complete antibiotic courses and 10% took multiple antibiotics |
| Paul TR et al; 2018 [ | Cross-sectional (prescription) study | 329 pediatric prescriptions were analyzed using WHO/ INRUD prescribing indicators | Antimicrobial prescribing and/or use | • 964 drugs were used by the patients with an average 2.93 per prescription. However, none of the drugs was prescribed in generic name. |
| Shamsuddin AKM et al., 2019 [ | Cross-sectional study | 300 patients (0–15 years) in three major pediatric hospitals of Dhaka, Bangladesh | Antimicrobial prescribing and/or use | • More than two antibiotics were given to a patient in 38.5% of clean cases and 63% of contaminated cases, in combination or sequentially. More than 3 antibiotics were given to a single patient in 47% of contaminated and 80% of dirty categories. |
| Zaman ARBM et al., 2018 [ | Cross-sectional study | Outpatient department in a Upzilla Health Complex; interview and prescription slips were used for the study. | Antimicrobial prescribing and/or use | • 56% patients were treated with anti-microbials; the majority (77.5%) received two or more antimicrobials in combination |
| Sutradhar K et al., 2014 [ | Population-based survey | 6,000 patients and 580 physicians from 24 Upazila Health Complexes and 112 Union Health Centers in the Dhaka and Rajshahi divisions | Non-compliance /perception regarding use of antimicrobials | • More than 50% patients stop taking the antibiotic as soon as the symptoms disappear |
| Saha MR, 2010 [ | Cross sectional study | 350 respondents from four public sector hospitals in Dhaka city | Non-compliance/Knowledge and awareness of antimicrobials use | • 52% stated that they usually did not complete the full course |
| Biswas M et al., 2014 [ | Cross-sectional study | 1,300 patients from eight locations of Rajshahi city | Self-medication/Perception regarding antimicrobialsuse | • 27% participants practiced selfmedication with antibiotics; the most frequently used was metronidazole (50%) |
| Nishat C, 2012 [ | Cross-sectional study | 750 customers were surveyed from six districts of Bangladesh | Self-medication | The self-medication rates for different antimicrobials: ciprofloxacin (3.6%), doxycycline (5%), ampicillin (1%), amoxicillin (2%), azithromycin (1%), cefradine (1 |
| Haque et al., 2017 [ | Cross-sectional study | 4,100 patients selected randomly from premises of retail drug shops who came to purchase medicines during January–December 2014 | Self-medication | • 23.5% were practicing self-medication with antibiotics; 64.5% were male and 35.5% were female; the most frequent used antibiotic was azithromycin (24%) |
| Rana M et al., 2018 [ | Cross-sectional study | 600 rural adults attending the community clinics in Rajshahi district | Self-medication | Only 17% rural adults had good knowledge about the rational use of antibiotics; those with secondary education and above performed better than their counterparts |
| Saha et al., 2018 [ | Cross-sectional study | A section of Geneva Camp population who bought antibiotics in past six months, using a preselected questionnaire | Self Medication/awareness | • 67% bought antibiotics for any disease condition; 89% didn’t buy the full course |
| Begum N, 2016 [ | Antimicrobial sensitivity test | 138 Gramnegative uropathogens were isolated | Antibiotics sensitivity and resistance | 14% imipenem resistant strains were detected among 138 Gram-negative uropathogens |
| Mannan A et al., 2014 [ | Antimicrobial sensitivity test | The antibiotic susceptibility of 70 clinical isolates collected from blood, sputum, urine and pus samples | Antibiotics sensitivity and resistance | • 64% isolates of |
| Rahman MS, 2014 [ | Antimicrobial sensitivity test | Isolates collected from BSMMU, Dhaka Medcial College, Ibrahim and Rajshahi Medical College | Antibiotics sensitivity and resistance | • 50% of the |
| Ahmed B. et al., 2011 [ | Antimicrobial sensitivity test | 216 culture positive urine samples from Dhaka Medical College Hospital | Antibiotics sensitivity and resistance | • The most common isolate was |
| Mohammad S, 2010 [ | Antimicrobial sensitivity test | 80 isolates of | Antibiotics sensitivity and resistance | Very low sensitivity of |
| Tarana N et al., 2018 [ | Antimicrobial sensitivity test | 367 samples, from out and in-door patients of a public sector hospital; blood culture for | Antibiotics sensitivity and resistance | Prevalence of |
| Nahar A et al., 2017 [ | Antimicrobial sensitivity test | A total of 2,541 urine samples collected from suspected urinary tract infection cases and culture and sencitivity was done. | Antibiotics sensitivity and resistance | • Most predominant organism was |
| Ahmed et al., 2018 [ | Antimicrobial sensitivity test | Laboratory samples from 488 hospitalized patients cultured for | Antibiotics sensitivity and resistance | • More than 80% of MRSA isolates were resistant to ampicillin (98%) followed by amoxicillin (94%), cefixime (93.5%) and azithromycin (85%) |
| Hasan MJ, 2019 [ | Antimicrobial sensitivity test | Antibiotic susceptibility data of patients from an elite private hospital and antibiogram data for years 2016, 2017, and 2018 | Antibiotics sensitivity and resistance | • The resistance pattern of meropenem, amikacin, ceftazidime and cefepime fluctuated for |
| Global Antibiotic Resistance Partnership- Bangladesh (GARP): Bangladesh National Working Group [ | Situation analysis | This review report dealt with up-to-date situation analysis of AMR from a ‘One Health’ perspective | Antibiotics sensitivity and resistance | • In Bangladesh, AMR is precipitated by lack of quality in-patient care as well as brief consultation time, under-value of proper disease diagnosis and use of inappropriate antibiotics |
Summary of studies included for exploring different dimensions of antimicrobial resistance in animals and environment (n = 11).
| Author(s), Year | Type of study | Setting | Themes/sub-themes | Key findings | |
|---|---|---|---|---|---|
| Islam S et al., 2016 [ | Crosssectional study (tissues and eggs of laying hens) | Microbial inhibition test (MIT) and thin layer chromatography (TLC) were used to detect antibacterial residues | Use in animal | • The prevalence of antibiotic residues found 64% in liver, 63% in kidney, 56% in breast muscle, 50% in thigh muscle, and 60% in eggs | |
| Sattar et al., 2014 [ | Cross-sectional study (poultry muscle, kidney, liver) | TLC and ultra-high performance liquid chromatography (UHPLC) method used to detect antibacterial residues | Use in animal | • The residues of tetracycline were 48% in livers, 24% in kidneys, 20% in thigh muscles, and 24% in breast muscles | |
| Hossen M et al., 2015 [ | Poultry waste management | Trishal | Use in animal | • 52% farmer do not use any litter materials | |
| Hossain MM et al., 2018 [ | Cross-sectional study | Oxytetracycline residue in a sample of fishes collected from Sylhet, Bangladesh was detected by High Performance Liquid Chromatography | Use in animal | • Detectable amount of oxytetracycline residues were documented in 25% | |
| Islam M et al., 2017 [ | Comparative analysis of waste water samples from hospital-adjacent areas (HAR) | 72 HAR samples tested in Dhaka, Bangladesh | Environmental contamination | • | |
| Rashid M et al., 2015 [ | Epidemiology of antimicrobial resistance ESBL- producing | Water and fresh fecal samples were collected from several locations | Environmental contamination | • 76 | |
| Neela FA et al., 2014 [ | Laboratory-based study | Water sample collected from 4 ponds associated with poultry farms in Puthiya, Bangladesh | Environmental contamination | • Prevalence rate of tetracycline (TC) and ampicillin (AMP) resistant bacteria were 0.24 to 2.59% and 0.16 to 1.0%, respectively in the pond water adjacent to the poultry farm | |
| Haque A et al., 2014 [ | Laboratory-based study | Surface water in Dhaka examined for isolating coliforms and others | Environmental contamination | • | |
| Ahmed T et al., 2014 [ | Mapped a complete pathogenic profile of the salad vegetables | Dhaka Metropolis, Bangladesh | Environmental contamination | • The pathogenic bacteria present in commonly consumed salad vegetables showed resistance against regular antibiotics | |
| Bhowmik P et al., 2018 [ | Cross-sectional study | A hospital-based retrospective study using clinical record sheets of goat patients (N = 1405) at a teaching veterinary hospital of Chittagong | Use in animal | • From anthropo-clinical analysis, 24% farmers said that they were familiar with the term ‘antibiotic,’ but no farmer had any ideas about antimicrobial resistance and its withdrawal period | |
| Hassan M M et al., 2018 [ | Cross-sectional study | The study was conducted during January-June 2016 in 5 street side markets of Chittagong City Corporation (CCC), Bangladesh | Environmental contamination | • Prevalence of Salmonella spp. varied from 60 to 78% in street food. The study revealed MDR Salmonella (resistance up to 6 of 11 tested antimicrobials) from each of the food items tested. | |