Clinical Trial Details
— Status: Enrolling by invitation
Administrative data
NCT number |
NCT05378880 |
Other study ID # |
1559/22 |
Secondary ID |
JPMIR2021-053 |
Status |
Enrolling by invitation |
Phase |
N/A
|
First received |
|
Last updated |
|
Start date |
May 18, 2022 |
Est. completion date |
April 30, 2025 |
Study information
Verified date |
October 2023 |
Source |
Institute of Tropical Medicine, Belgium |
Contact |
n/a |
Is FDA regulated |
No |
Health authority |
|
Study type |
Interventional
|
Clinical Trial Summary
Emergence of antibiotic resistance (AMR) is a serious concern for Low and Middle Income
Countries (LMICs). Unregulated use of antibiotics, a major AMR driver, is highly prevalent in
LMICs, with medicine stores as key providers. Physical interactions between One Health
compartments increase cross-domain transmission risks, although the relative importance of
different reservoirs is uncertain, with community-level dynamics of AMR in LMICs largely
unquantified. In two rural health districts in Burkina Faso and DR Congo, a behavioural
intervention bundle will be developed, targeting medicine stores and their communities, to
optimise antibiotic use and improve hygiene, and hence reduce AMR prevalence and
transmission. After a 6-month local co-development phase, the intervention will be
implemented over 12 months and evaluated through a comparison between intervention and
control clusters, consisting of one or more villages or neighbourhoods largely seeking
healthcare with the same provider(s). The primary outcome measure is the change in Watch
antibiotic provision from medicine stores (where a formal prescription is not required),
assessed via patient exit interviews and simulated client visits. Changes in hygiene
practices and AMR pathogen and gene carriage will be assessed in repeated population surveys.
Rodents, living in close proximity to humans in much of sub-Sahara Africa, provide a proxy
estimate of environmental AMR pathogen and gene exposure. Using modelling and sequencing of
selected isolates, impact of AMR transmission by changes in antibiotic use and hygiene
practices will be quantified.
Description:
Background A major driver of AMR emergence in LMICs is community- and individual-level
antibiotic consumption, which have both been associated with an increased risk of acquisition
of AMR bacteria for individuals in the general community. As a result of difficult or delayed
access to hospitals and formal health centres, the principal sources of antibiotics in many
LMIC communities are medicine stores, i.e. community pharmacies or informal medicine vendors.
Staff at these outlets are frequently not medically qualified, and informal selling of
medicines is common. Two recent systematic reviews estimated the pooled prevalence of
reported self-medication with antibiotics in LMICs at 78%, in sSA at 56%, and in West-Africa
at 70%. Furthermore, in sSA, over two thirds of visits to community medicine stores were
found to result in dispensing prescription-free antibiotics. Appropriately trained and
motivated pharmacy staff can be part of a successful AMR control programme, in particular
through their role in educating patients, promoting appropriate usage of dispensed
antibiotics, and providing guidance to healthcare colleagues on appropriate antibiotic
prescribing. In the absence of a clinical or microbiological diagnosis, medicine stores often
dispense antibiotics without a clear rationale. Importantly, these antibiotic courses
frequently consist of Watch antibiotics. Among the different types of providers listed, and
even among those with a good understanding of AMR, there is a need for supporting appropriate
antibiotic prescription practices.
A recent study in 6 LMICs showed that context-specific tailored intervention packages are key
to improve community antibiotic use. In any stewardship programme targeting unregulated
community dispensing of antibiotics, it is therefore crucial to co-develop interventions with
medicine stores, and to incorporate the identification of alternative (economic) incentives,
as well as targeting communities, to enable sustainable take-up by both medicine stores and
their communities. Existing behavioural change interventions have been categorised as
persuasive (eg. peer-to-peer feedback on dispensing), enabling (eg. guidelines, training
sessions), restrictive (eg. expert approval before dispensing some specific antibiotics) or
structural (eg. introducing a clinical algorithm). The effect of individual interventions
targeting outpatient dispensing of antibiotics in LMIC has been heterogeneous, with
multi-faceted interventions combining educational material with audits and feedback or
peer-to-peer comparisons more effective at reducing inappropriate antibiotic use than
stand-alone interventions.This project proposes a robust participatory-driven behaviour
change intervention to reduce the use of Watch antibiotics from medicine stores, targeting
both the demand (community) and supply (medicine store) side, and to reduce emergence and
transmission of AMR.
To develop locally acceptable, feasible and relevant interventions, the COM-B model for
behaviour change has been found highly suitable. This model forms the centre of the
well-known Behaviour Change Wheel which is widely used in designing interventions and has
been used by NICE and the UK Department of Health. COM-B identifies three essential
conditions for behaviour - capability, opportunity, motivation - which thereby provide
intervention opportunities for behaviour change. Capabilities include psychological (e.g.
knowledge) and physical (e.g. skills) capabilities. Opportunity includes social and physical
opportunities (e.g. social influences and environmental context and resources). Motivation
includes reflective and automatic motivation such as beliefs about capabilities and
consequences, goals, and ideas about professional role and identity. The intervention bundle
in this study therefore aims to address AMR using three intervention components which each
address the three conditions of behaviour change of the COM-B model. Target behaviours for
the intervention are based upon considerations around impact potential, likelihood for
change, potential spill-over effects as well as ease of measurement. The COM-B model would
thus be highly suitable to guide ABU interventions addressing highly complex behaviour, and
will be used to design the intervention bundles to achieve a joint change in antibiotic
demand and supply.
At the same time, ongoing transmission of newly emerging or existing (drug-resistant)
bacteria and the exchange of AMR genes between bacteria harboured by human hosts, animals and
their environment, is facilitated by substandard hygiene and sanitation practices. Household
transmission was recently found to be a more important mode of bacterial strain sharing than
transmission from livestock in urban Nairobi.
The widespread environmental rummaging behaviour of rodents implies that they can serve as a
proxy for AMR prevalence in the natural environment . This is of major relevance in settings
where sewage surveillance, an alternative measurement to estimate environmental prevalence,
may not (yet) be feasible because of the absence of sufficient sewage systems.
Study objectives
Primary
1. Develop, implement, and evaluate the effect of a behavioural intervention bundle
targeting medicine stores (including community pharmacies and informal medicine
sellers), and the surrounding populations on (Watch) antibiotic use.
2. Develop and pilot environmental AMR surveillance through rodent surveillance.
3. Estimate and model the effect of the intervention bundle on AMR prevalence and
transmission, focusing on faecal E. coli and Salmonella carriage.
Secondary
1. Estimate the intervention bundle's effect on hygiene, on case management by medicine
stores and on clinical outcomes.
2. Identify pathways and incentives through which educational or peer influence
interventions improve quality of care.
3. Compare prevalence of AMR bacterial populations in human (i.e. household members) and
rodent reservoirs; compare with AMR prevalence in routine BSI surveillance.
4. Spatial and ecological analysis as well as phylogenetic comparison of AMR bacterial
populations and genetic clones identified in human carriers and dwelling rodents.
5. Quantify household transmission of AMR genes or pathogens and estimate the relative
importance of an environmental transmission source.