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Strengthening antimicrobial resistance surveillance systems: a scoping review

Abstract

Background

Antimicrobial resistance (AMR) is an emerging global public health crisis. Surveillance is a fundamental component in the monitoring and evaluation of AMR mitigation endeavours. The primary aim of the scoping review is to identify successes, barriers, and gaps in implementing AMR surveillance systems and utilising data from them.

Methods

PubMed, Web of Science, SCOPUS, and EMBASE databases were searched systematically to identify literature pertaining to implementation, monitoring, and evaluation of AMR surveillance systems. A thematic analysis was conducted where themes within the literature were inductively grouped based on the described content.

Results

The systematic search yielded 639 journal articles for screening. Following deduplication and screening, 46 articles were determined to be appropriate for inclusion. Generally, most studies focused on human AMR surveillance (n = 38, 82.6%). Regionally, there was equal focus on low- and middle-income countries (n = 7, 15.2%) and trans-national contexts (n = 7, 14.5%). All included articles (n = 46, 100.0%) discussed barriers to either implementing or utilising AMR surveillance systems. From the scoping review, 6 themes emerged: capacity for surveillance, data infrastructure, policy, representativeness, stakeholder engagement, and sustainability. Data infrastructure was most frequently discussed as problematic in evaluation of surveillance systems (n = 36, 75.0%). The most frequent success to surveillance system implementation was stakeholder engagement (n = 30, 65.2%).

Conclusions

Experiences of AMR surveillance systems are diverse across contexts. There is a distinct separation of experiences between systems with emerging surveillance systems and those with established systems. Surveillance systems require extensive refinement to become representative and meet surveillance objectives.

Peer Review reports

Introduction

Antimicrobial resistance (AMR) has been declared a global public health threat that has the potential to jeopardise the foundations of modern medicine and infectious diseases control [1]. Current estimates suggest that AMR is responsible for approximately 700,000 human mortalities per year [2] with the potential for up to 10 million deaths per year by 2050 if effective strategies to reduce resistance are not implemented [2]. Whilst immediate repercussions to human health have been widely recognised as impetus for action [3], the significance of AMR extends to animal and environmental health sectors [4]. The breadth of the issue, thus, necessitates a collaborative approach to address the multi-faceted AMR crisis [5].

The World Health Organization’s (WHO) Global Action Plan (GAP) on AMR was developed to engage the international community in efforts to address the emerging public health crisis [1]. The GAP describes 5 objectives including: (i) improving awareness on AMR through training, education, and communication, (ii) strengthening knowledge and evidence base through surveillance and research, (iii) reducing the incidence of infection through sanitation, hygiene, and infection prevention measures, (iv) optimisation of antimicrobial medicines in human and animal health, and (v) developing an economic case for sustainable investment for new medicines, diagnostic tools, vaccines, and interventions [1]. The basis for these objectives is to facilitate effective policy and stewardship processes to ultimately produce discernible mitigation efforts against AMR [1].

The second objective of the GAP foregrounds surveillance as an integral component to ascertain the status of AMR in various contexts and monitor progress towards control objectives [1]. The role of continuous AMR surveillance facilitates evaluation of AMR stewardship programmes, interventions, and policy efficacy via the generation of evidence [6]. Moreover, the borderless nature of AMR has emphasised the need for continuous global monitoring [7]. International initiatives such as the Global Antimicrobial Resistance and Use Surveillance System (GLASS) have aimed to provide guidance in assembling and standardising data from national AMR surveillance systems to inform future actions [8]. Whilst surveillance has been outlined as a global necessity [7], the current state of surveillance systems vary greatly across national contexts [9], with some having highly structured and effective systems [10] and others with no system or a system under development [8]. The wide variation in the structure and effectiveness of national surveillance systems and the absence of foundational work to facilitate improvement calls for research to better understand the barriers and enablers of national AMR surveillance systems.

The aim of this scoping review is to identify and thematically map published literature describing the implementation or evaluation of national AMR surveillance systems. The objectives of the scoping review are to (1) identify the main thematic categories that are relevant in implementing, utilising, and improving surveillance systems (2) examine reported challenges and successes in utilising surveillance systems, and (3) identify gaps within literature that can be used to design further studies on AMR surveillance systems.

Methods

The scoping review methodology was utilized based on the guidelines outlined within Arksey and O’Malley [11]. The search strategy was documented using the protocol outlined within the Preferred Reporting Items for Systematic Reviews and Meta-Analyses for Scoping Reviews (PRISMA-ScR) [12].

Search strategy

The electronic databases of PubMed, Web of Science, EMBASE and Scopus were searched for full text academic literature. The following keyword search terms were used to identify relevant literature: (“Antimicrobial Resistance Surveillance” OR “AMR Surveillance” OR “Antibiotic Surveillance” OR “Antibiotic Use Surveillance” OR “Antimicrobial Use Surveillance” OR “AMU Surveillance”) AND (Implement* OR Assess* OR Evaluat* OR Challeng* OR Success*). The search was performed on 13/04/2022. All texts searched were published in English. No filtering processes were applied for geographic location or date of publication. Articles were limited to academic journal articles. Citations found through the search process were exported to Endnote and deduplicated. Identified articles were then subjected to title and abstract screening by PD and SB in Endnote to identify relevancy to the scoping review’s objectives.

Eligibility criteria

The following eligibility criteria for articles are presented in Table 1.

Table 1 Inclusion and exclusion criteria for identified articles

Data extraction, characterisation, and analysis

The full conceptual framework for the review is presented in Fig. 1. Two authors PD and SB independently performed the data extraction on the final articles included in the scoping review. A custom data extraction form was created in Microsoft Excel 2013 for data charting. The form included author, year, title, publication type, geographical location of the article, summary of the article, challenges, and successes detailed within the article. The data extraction process was undertaken continuously and the charted data was analysed using an inductive thematic approach outlined by Thomas and Harden [13]. Activities were defined as steps, tasks, or procedures carried out that were fundamental to the surveillance systems function. Experiences were any evaluative statements made regarding the activities.

An initial text-based analysis was undertaken within each included article to identify initial codes for thematic analysis. PD and SB read through all included articles and then identified the key concepts embodied by each activity or experience. The reviewers looked for identified activities and evaluative statements within the article by the authors to base the analysis. This was undertaken to construct initial codes through extracting the core concept being discussed within the identified text. The initial codes were reviewed by both reviewers and finalised before aggregation by conceptual similarity into sub-themes. Main themes were developed upon further aggregation of the sub-themes identified by their overarching conceptual similarities.

Finally, the activities and experiences were then categorised. Categorisation concerned two elements and was done on the sentiment expressed in each publication. The first was if the activity was a challenge or success to utilisation, implementation, or improvement to surveillance. Successes were defined as activities, experiences, or stipulations that were necessary to overcoming barriers or to facilitate the improvement of surveillance. Challenges were defined as activities or experiences that presented limitations to the improvement or function of surveillance. Secondly, the experiences were categorised by AMR surveillance system status which pertained to the establishment of the surveillance system. Established surveillance systems were identified by reference in the text to a demonstrated track record of practical implementation for an extended period. Conversely, non-established surveillance systems referred to relatively recent or limited implementation of a system which have been relative novelty associated in the implementation. All visualisations and descriptive statistics pertaining to the articles were completed through R 4.6.10 using the ggplot2 package.

Fig. 1
figure 1

Conceptual framework for the thematic analysis

Results

The search yielded 639 unique articles for review. Following deduplication and screening for relevancy, 99 journal articles met the initial eligibility criteria. Six articles were not included as full text could not be retrieved. One article was a correction statement and was excluded. Two articles were secondary review articles and were excluded from the included studies. After systematically applying the selection criteria to the included articles, a total of 46 articles met the criteria and were included in the final qualitative synthesis of evidence. The flowchart of article selection with exclusion criteria are presented in Fig. 2.

Fig. 2
figure 2

The PRISMA diagram for the scoping review of antimicrobial surveillance system experiences

General characteristics of articles included in scoping review

The general characteristics of included literature are presented in Table 2. Reviews (n = 21, 45.7%) and primary research papers (n = 9, 19.6%) were the most common study type included. There was a single commentary paper and a single narrative review. All articles discussed challenges in utilisation or implementing AMR surveillance systems. Three articles did not outline potential successes in implementing or utilising AMR systems. Most included studies concerned human AMR surveillance (n = 38, 82.6%) with only two studies discussing both human and animal surveillance through a One Health perspective. The main body of included studies was published between 2016 and 2017 (n = 37, 80.4%) with an overall increasing trend of publication from the year 2000.

Table 2 Characteristics of included studies in the literature review

Geographical characteristics of articles included in scoping review

Figure 3 depicts the frequency of national contexts within the included literature. More than half of the included literature described a specific regional focus (n = 25, 54.3%). The remainder of the literature examined national, context specific surveillance systems. The most common national context was Canada (n = 4, 8.7%) followed by Uganda (n = 3, 7.5%). Figure 4 presents the frequency of included literature aggregated into transnational contexts. The most frequently observed transnational contexts in literature were that of low- and middle-income countries (LMIC) (n = 7, 14.5%) and global contexts (n = 7, 14.5%). Articles with a global context thematically focus on concerted surveillance activities spanning multiple continents.

Fig. 3
figure 3

Frequency distribution of articles by national context focus

Fig. 4
figure 4

Frequency distribution of studies focused on surveillance at regional levels

Thematic characteristics of the literature

Six encompassing themes emerged from the included literature. Supplementary file 1 contains the text-based analysis of the individual components of literature that form the initial codes. The themes could be aggregated into physical capacity for surveillance, data infrastructure, policy, stakeholder engagement, sustainability, and representativeness of the system. The activities identified in the included literature were then further classified as successes or challenges. Table 3 presents the frequency of successes and challenges stratified by the respective theme. Overall, data infrastructure was the most frequent challenge experienced within the included literature (n = 36, 78.3%). This was followed by capacity (n = 28, 60.9%). In experiences discussing success for AMR surveillance, stakeholder engagement was the most prominent theme (n = 30, 65.2%). Policy was the least discussed aspect amongst all included literature. Table 4 presents the themes discussed within each article included in the scoping review alongside its characteristics. Table 5 provides the sub-themes which were then aggregated to produce the encompassing themes. The aggregation of individual codes to larger encompassing themes is supplied within is included in supplementary file 3.

Table 3 Summary of antimicrobial resistance surveillance system themes in literature with percentage of articles
Table 4 Characteristics and themes identified within articles
Table 5 Thematic characteristics of the included literature with their respective sub-themes and constituent activities which lead to the formation of the themes

Capacity

Capacity emerged as a theme that encompassed the physical components of AMR surveillance. This includes staffing and associated training, materials for laboratory diagnostics, physical infrastructure, and transportation. Sub-themes for the identified challenges include physical staffing and training and inadequate laboratory infrastructure. The most frequent challenges within literature pertained to insufficient training in diagnostic microbiology and data collection [14,15,16,17,18,19] and electricity and water supply [17, 20,21,22,23]. Sub-themes for success identified training programmes, the use of laboratory networks, and incentives to improve surveillance. Within successes, the most frequent activity concerned the use of laboratory mentorship in training programmes to ameliorate challenges with training and data collection [20, 24,25,26,27,28,29,30].

Data infrastructure

Data infrastructure was constructed as a theme which discussed and evaluated characteristics data capture. This includes quality assurance, linkage, and methods for data collection. For the challenges pertaining to data infrastructure, literature highlighted the subthemes of quality assurance, non-standardised methods, and data capture to be problematic. Quality assurance of AMR data was emphasised as a prominent challenge in the included literature [16,17,18, 21, 22, 24, 27, 29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44]. This was followed by differences in diagnostic criteria for AMR across surveillance contexts [14, 17, 19, 22, 26, 34, 40, 44,45,46]. Successes were achieved through standardisation, external programme enrolment, and linkage of data systems. Experiences discussing successes overwhelmingly highlighted the WHONet system for data collection as a means for data standardisation [18, 22, 23, 28, 36, 40, 41, 47, 48]. Other notable successes included sourcing additional data and linking new sources [49,50,51,52].

Policy

Policy was identified as a theme that discussed legislative foundations for surveillance systems. Of all themes identified within literature, policy was the least frequent. The theme was split by successes in which policy supported implementation or there was a noted absence as a challenge to utilisation of AMR surveillance. The policy experiences mostly detailed successful experiences. Legal foundations for surveillance were the most prominent activity discussed in 4 articles [18, 19, 21, 26]. Only one article discussed a policy related challenge in currently developing policy [43].

Stakeholder engagement

Stakeholder engagement refers to the success and challenges in the active involvement and collaboration of various relevant individuals, organisations, and entities with vested interests in the context of AMR surveillance. The sub-themes compromising stakeholder engagement challenges were focused on difficulty in coordination, inadequate feedback mechanisms to stakeholders and engagement of staff. Most notably, engaging governmental bodies was the most prominent notion discussed [15, 18, 21, 31, 51]. Successes detailed cases of successful engagement of stakeholders, incorporating stakeholders not previously considered, and plans for a One Health approach to AMR surveillance. Overwhelmingly, much of the included literature highlighted cases were engagement of stakeholders improved surveillance [20, 23,24,25, 27, 29, 32, 33, 36, 38, 39, 41, 43, 44, 46, 51, 53,54,55] or a consortium was formed to achieve similar results [14, 16, 19, 28, 30, 45, 56].

Sustainability

Sustainability encompassed the discussion of economic elements that were necessary to the function of surveillance. The relevant sub-themes for challenges highlighted limited funding and costs of surveillance to be problematic. Most notably, under funding of surveillance [16, 39, 45, 46] and reliance on external funding were two prominent experiences detailed [17, 21]. Successes in sustainability identified securing funding and financial partnerships to be pivotal in successes. Sourcing external funding to establish surveillance was overwhelmingly discussed by literature [18, 21, 37, 45]. Partnerships to address financial limitations was varied in the relationships formed.

Representativeness

Representativeness refers to the degree in which the AMR data gathered from surveillance accurately reflects the true patterns and trends of AMR within its specified context. The sub-themes identified within the literature include limited representativeness and incomplete data collection. Inadequate meta-data to categorise AMR was the most frequently discussed challenge [35, 52, 53, 55]. The next frequently discussed experience was reporting bias in data collection [16, 23, 47]. Successes focused on improving the breadth of data sources encompassed by the surveillance system and stipulated strategies for improved representativeness. Financial incentives [32, 38], external programmes [16, 34], and harmonisation of procedures and data sources [27, 57] were equally as prominent within literature.

Separation of experiences

The analysis of included literature highlighted a prominent separation in experiences. Table 6 displays the categorisation of all included literature. Non-established surveillance system literature more frequently originated from LMIC contexts as compared to established surveillance systems. Most notably, representativeness was more frequently discussed in countries with established AMR surveillance systems (n = 15, 78.9%) as compared to non-established (n = 7, 36.8%). Sustainability was more frequently discussed in literature describing non-established AMR surveillance systems (n = 11, 64.7%) as compared to established systems (n = 8, 47.1%). Data infrastructure and stakeholder engagement were similar in their frequency of discussion across established and non-established.

Table 6 Themes discussed by established and non-established surveillance systems

Moreover, the divergence of experiences has been elucidated in Fig. 5. Figure 5 provides a visual representation of the divergence in challenges across all reviewed literature by their relative establishment. Discussion in literature with non-established systems more frequently pertained to LMICs. A paradigm shift emerged which is categorised the transition from physical barriers being experienced by LMIC to conceptual barriers being attributable to higher income countries. Physical capacity for surveillance emerges as a greater theme to developing surveillance systems, whereas representativeness of the system becomes more apparent with the establishment of the system. Particularly, for higher income countries it becomes the desire for new technology integration becomes more pronounced. Sustainability for non-established surveillance systems primarily centres around sourcing external funding which contrasts a renewed focus on sustainable internal funding by governments and organisations with established systems. Policy and stakeholder engagement remain relatively unchanged amongst experiences across the literature reviewed.

Fig. 5
figure 5

Challenges identified in themes across literature categorised by new and established surveillance systems

Discussion

The objective of the scoping review was to identify and analyse themes within published peer-reviewed literature that pertained to the implementation, utilisation, and improvement of AMR surveillance systems. Overall, the findings of the scoping review demonstrate the diversity in experiences with AMR surveillance systems. Moreover, the review has foregrounded the necessity for a holistic approach in conceptualising AMR surveillance systems with the interwoven nature of the themes presented. The results of the scoping review highlighted the six key themes to be influential in surveillance: capacity, data infrastructure, policy, stakeholder engagement, sustainability, and representativeness. Notably, the scoping review found most literature was published after 2015, coinciding with the first Global Action Plan on AMR [1]. This emphasises a growing recognition of surveillance’s importance as a critical mechanism for public health action.

The prominence of challenges pertaining to data infrastructure highlights a critical need for a renewed overview on how to standardise and quality assure AMR data capture. As the most frequent challenge discussed, there exists considerable overlap with other themes making addressing data infrastructure a multifaceted problem. Interestingly, the paradigm faced by LMICs and higher income countries to improve data infrastructure are vastly dissimilar. For instance, in articles where data infrastructure was discussed as a challenge in LMIC contexts, discussion was focused physical obtainment with auxiliary themes of physical capacity for surveillance and sustainability being influential determinants [19, 29, 43]. Contrasting with higher income countries, challenges faced pertained to broadening the breadth and usefulness of data through further integration of sources [53], technologies [56] and improving timeliness [30]. Indeed, the comparison of economic contexts consolidates the influence health system inequalities impose on endeavours to mitigate AMR [58]. Data for AMR surveillance systems are foundational elements in the process of generating concerted public health action and ensuring adequate feedback is disseminated [59]. As an implication for implementing surveillance systems, considering improvement of contextual health system factors as limit setting steps must be completed before undertaking siloed approaches to improving data infrastructure.

The scoping review reinforces partnership to be a foundational determinant in improving and implementing surveillance systems. Unanimously across all papers reviewed where successes were discussed, stakeholder engagement was pivotal in facilitating action. The result is unsurprising and reflects the largely intricate and multifaceted nature of surveillance systems. While stakeholder engagement is a prominent theme to surveillance systems, the approaches taken in literature are greatly heterogenous. Experiences discussed to improve surveillance through expansion of organisational partnerships [23, 24, 27, 29, 32, 33, 36, 38, 39, 41, 43, 46, 51, 53, 54] undertake a similar overarching approach. However, the nature in which this is implemented is varied and often context specific. Overwhelmingly, literature has reinforced a deficit orientated approach in utilising stakeholder engagement to address gaps. Linking back to the separation of LMICs and higher income countries, it is evident issues with water [21, 23], electricity supply [17, 20,21,22], foundational training of staff [16, 23, 47], and procurement of microbiological materials [17, 20,21,22] in LMICs have been addressed through larger organisational and governmental engagement. For higher income countries where the paradigm of conceptual issues are championed [21], introspective approaches to stakeholder engagement have been taken with smaller scale partnerships being created. The implication of this finding for success of surveillance systems is once issues have been identified, stakeholder engagement through partnerships remains an unanimously efficacious approach.

The discourse on stakeholder engagement in animal AMR surveillance yields valuable insights that can strengthen human surveillance efforts. While physical capacity, representativeness, and data infrastructure exhibit commonality in experiences with contextual nuance, stakeholder engagement emerges as a particularly complex aspect. Stakeholder engagement in animal health AMR is particularly intricate due to the sector segmentation across industries and animal types. The complexity is exemplified by the presence of sector-specific AMR data repositories which hinder system unification [14, 26, 60]. For example the Canadian Integrated Program for Antimicrobial Resistance Surveillance (CIPARS) initially faced this disconnect [38] due to political apathy exercised by stakeholders, but was ameliorated through reporting mandates targeting antimicrobial drug distribution [14]. Similar challenges exist in human surveillance which are exemplified with the disconnect between public and private health sectors [45, 52, 53]. Legislative change may be enacted to achieve similar results as in animal health context but may be more difficult to implement. The literature reviewed in the scoping review does not extensively cover experiences with policy to identify leverage points for implementation. As an implication, to improve surveillance systems and foster stakeholder collaboration where barriers may be present, legal foundations for surveillance must be explored.

Ensuring financial sustainability is a fundamental determinant to the long-term viability of AMR surveillance systems. The findings emerging from the review demonstrate LMICs are primarily burdened by the challenges associated with financial sustainability. This finding expected given the economic determinants present within these contexts [43]. Successes detailed in literature to overcome financial barriers have centred around sourcing external funding through trusts and other funds. Indeed, Malania, et al. [18], discusses sourcing funds through the Central Asian and European Surveillance of Antimicrobial Resistance (CAESAR) program, Ashley, et al. [32] details the Wellcome Fund, Gates Foundation, and Fleming fund as potential sources, and Frost, et al. [45] describes the success the Fleming Fund has had with establishing surveillance in Asia and Africa. However, the experiences diverge with more established surveillance systems. There is acknowledgement for external funding’s role in establishment of sustainability, but a notable necessity for internal funding sources to be delineated for long-term surveillance viability [17]. This finding is significant in its implications for the sustainability of surveillance systems. The shift from reliance on external funding towards the development of internal mechanisms for financial stability ensure the long-term viability of surveillance.

Representativeness in surveillance literature emerges as a difficult challenge to manage. The findings of the scoping review highlight the criticality in data and system comprehensiveness to advance overarching surveillance goals. Endeavours to address system representativeness have included capturing meta data to accurately categorise AMR [35, 52, 53, 55] and the expansion of laboratory networks to increase system coverage [16, 26]. However, these goals cannot be achieved without the synergistic improvement of complementary systems related to data infrastructure and physical capacity for surveillance. Overwhelmingly, experiences discussed in the scoping review emphasised a siloed approach without acknowledgement contextual determinants influencing system representativeness. Future efforts should strive for an integrated and collaborative approach towards systematic improvement of system representativeness which leverages the synergy of the associated themes to enhance.

Gaps in literature

The findings of the scoping review highlight diverse insights into the experiences that contribute to the advancement of surveillance through the acknowledgement of barriers and tailored strategies for success. An interesting point of contention that is obvious upon review of the literature is the absence of surveillance system standards in which denote whether a challenge has properly rectified. With the exception of data infrastructure, through enrolment of in the Global Antimicrobial Surveillance System (GLASS) [21] and external quality assurance schemes for laboratory operation, the absence of a standardised definition of attainment is apparent in all other themes. Understandably, this observation is withholding judgement in whether there is significant benefit in delineating criterion for adequate attainment of physical capacity, policy, stakeholder engagement, sustainability, and representativeness. However, the experiences reviewed in the literature highlight some potential gaps that if addressed, could significantly strengthen surveillance system function.

Antimicrobial resistance surveillance system design is a pertinent component of representativeness that has sparsely been discussed throughout literature. The concept of system design presents an interesting proposition regarding the standardisation of design and comparability between national contexts. Fundamentally, this aligns with the objectives of external programmes such as GLASS which aim to harmonise data, analysis, and monitoring of AMR across international contexts [61, 62]. Without standardisation of system design, data may be presented in a uniform manner, upon initial appraisal, that appears comparable internationally through this endeavour. Despite this apparent uniformity, data may still be subject to sampling and reporting bias which stem from systemic design factors. Only 3 studies provided commentary on surveillance system design but were significantly limited in content for any substantial insights to be derived [22]. Certainly, there are factors such as feasibility and viability that must considered to explain the absence of surveillance system design discussion. Further research addressing this gap may enhance the reliability and effectiveness of the data generated by AMR surveillance systems at an international context, ultimately advancing global efforts.

Introspectively, representativeness at the national level of AMR surveillance is also an unexplored theme within literature. An unexpected finding from the review highlights the necessity for conscious surveillance design which facilitates the nuances of AMR. Representativeness fundamentally refers to the degree in which the collected data accurately reflects the true patterns and trends of AMR within its specified context. Indeed, literature has exhibited desire to rectify representativeness in system design by progressively expanding laboratory networks to facilitate temporal coverage of the system [22, 30]. Albeit the endeavours do not reflect the AMR sampling paradigm which contrasts the infection status of an individual with its clinical significance. In the paradigm, though an individual may carry a.

resistant organism, the process of detection cannot occur without immediate clinical significance of the primary concern [63]. It highlights AMR surveillance to be a sequential system to the to its associated primary disease surveillance. This has significant implications on the monitoring and evaluation of AMR prevalence to the effect that surveillance may conceptually be non-representative without significant re-evaluation of structure. To the knowledge presented in this scoping review, no current human AMR surveillance system considers non-clinical samples. Further research examining the feasibility of non-clinical samples in AMR surveillance would fundamentally subvert the conceptualisation of AMR surveillance and position AMR as the primary concern.

The potential of external tools to enhance AMR surveillance remains underexplored. The scoping review highlights progress in addressing barriers regarding data infrastructure through tools such as WHONet, which aids in the standardisation of AMR data capture with the benefit of providing feedback on data completeness [18, 22, 23, 28, 36, 40, 41, 47, 48]. It is apparent other themes of policy, sustainability, stakeholder engagement, and capacity lack similar tool development due to the diverse complexity presented with the associated contextual factors. Notably, this endeavour remains feasible. Drawing inspiration from the WHO’s International Health Regulations (IHR) and exemplified by the associated Joint External Evaluation Tool (JEE) to help self and external assessment of global health systems [64, 65], a comparable tool could be devised for AMR surveillance. Particularly, standards for satisfactory surveillance function could be delineated with self-assessment tools developed to identify the strengths and weaknesses in current approach across the thematic elements. Further research exploring the possibility the standards and self-assessment tools offers significant potential to enhance surveillance functionality and promote international cross-context comparability.

Potential Roadmap for One Health Surveillance Systems

Within AMR surveillance, a One Health approach which aims to integrate, animal, environmental, and human health has been a widely advocated aspiration [66]. Wider AMR literature has hinted at a growing demand for One Health AMR surveillance [67, 68] but the endeavour has yet to be realised [69]. The most influential attribute contributing to One Health surveillances absence is the lack of integration due to a conceptual incongruence throughout sectors [69]. The scoping review and the themes encompassed potentially provide the foundations for a conceptual framework to constructed to facilitate the establishment of a One Health system. Namely, the themes of capacity for surveillance, data infrastructure, policy, stakeholder engagement, sustainability, and representativeness must be addressed to identify relevant contextual factors. In this endeavour, it is of importance for One Health AMR surveillance to be feasible, issues posed to like that to LMICs must first be addressed. This includes ensuring sufficient supplies, training, staffing, and laboratory infrastructure are available. Subsequent themes of data infrastructure, policy, stakeholder engagement, and representativeness will need to be deliberated to identify the most pertinent characteristics that satisfy the system’s objectives. Sustainability may be initially sourced externally like that within literature to facilitate system establishment but will require plans to transition towards internal sustainability like that with established surveillance systems. Pre-emptive planning for One Health AMR surveillance through the experiences delineated within this scoping review has the potential to facilitate the idealisation of such system.

Strengths and Limitations of the review

There are inherent strengths and limitations of this scoping review. One of the strengths is the breadth of the scoping review and its broad inclusion criteria. This broad approach allowed for the capture of thematic elements dispersed within the larger body of AMR surveillance literature. The inductive approach undertaken allowed for themes to be constructed based on the included literature and would limit the influence of preconceived bias on reported results.

The conducted scoping review has limitations that must be acknowledged. Firstly, the exclusion of grey literature that could encompass official government reports may result in an incomplete representation policy and sustainability discussion. Additionally, the absence of grey literature may have limited the inclusion of other relevant themes that are critical to AMR surveillance function. Furthermore, the absence of a formal risk of bias assessment for the included articles may potentially influence the interpretability of the results. Further research including risk of bias assessment may limit the potential for selection, reporting, and measurement bias from being introduced and facilitate greater qualitative synthesis of themes. The implications of this limitation may prohibit the accuracy in the themes identified and facilitate inaccuracy in categorisation of studies into constructed themes.

Conclusion

The scoping review has demonstrated an immense diversity of experiences in implementing, utilising, and improving AMR surveillance systems across all contexts. The emergence of six key themes of capacity, data infrastructure, policy, stakeholder engagement, and representativeness foreground the necessity for a holistic in developing AMR surveillance systems. Challenges with data infrastructure and financial sustainability, particularly in LMIC contexts, require immediate action to ensure optimal function and long-term viability of surveillance efforts. Stakeholder engagement emerges as a key determinant in overcoming challenges and reflects the deeper, interconnected intricacies of surveillance that has been unanimously successful in addressing potential barriers. Whilst complex, stakeholder engagement is pivotal and necessitates context-specific strategies for success. Gaps to address include system standards and design, alongside the exploration of external tools offer promising avenues for enhancing AMR surveillance functionality and inter-context comparability. The environment of One Health approach to AMR surveillance by the scoping review is certainly feasible given the key themes identified within the scoping review are pre-emptively planned and addressed adequately. The themes in the scoping review facilitate the pursuit of refined and strengthened AMR surveillance to be possible to ultimately inform concerted global health action.

The experiences in implementing, utilising, and improving AMR surveillance systems have been identified to be divergent across contexts. The scoping review has elucidated the common themes of capacity, data infrastructure, policy, stakeholder engagement, sustainability, and representativeness as central to the discussion of AMR surveillance systems. The implications of the review’s findings suggest stakeholder engagement is fundamental to improving all facets of AMR surveillance. From the findings, it is critical this remains central to efforts involved in surveillance. However, there remains to be a gap within surveillance representativeness that requires further attention. For this gap to be addressed, further work must be completed to conceptualise a methodology to standardise representativeness. The result of this concentrated effort will further strengthen AMR surveillance endeavours.

Data Availability

Data supporting the conclusions of the study is found within the supplementary files. All other data is presented within the results section.

Abbreviations

AMR:

Antimicrobial Resistance

GAP:

Global Action Plan

GLASS:

Global Antimicrobial and Resistance Use Surveillance System

IHR:

International Health Regulations

JEE:

Joint External Evaluation

LMIC:

Low- and Middle-income countries

NAP:

National Action Plan

PRISMA-ScR:

Preferred Reporting Items for Systematic Reviews and Meta-Analyses for Scoping Reviews

WHO:

World Health Organization

References

  1. WHO.: Global action plan on antimicrobial resistance. World Health Organization. [https://ahpsr.who.int/publications/i/item/global-action-plan-on-antimicrobial-resistance].

  2. de Kraker ME, Stewardson AJ, Harbarth S. Will 10 million people die a year due to Antimicrobial Resistance by 2050? PLoS Med. 2016;13(11):e1002184. https://doi.org/10.1371/journal.pmed.1002184.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Woolhouse M, Ward M, van Bunnik B, Farrar J. Antimicrobial resistance in humans, livestock and the wider environment. Philos Trans R Soc Lond B Biol Sci 2015, 370(1670):20140083. https://doi.org/10.1098/rstb.2014.0083.

  4. Kahn LH. Antimicrobial resistance: a one health perspective. Trans R Soc Trop Med Hyg. 2017;111(6):255–60. https://doi.org/10.1093/trstmh/trx050.

    Article  PubMed  Google Scholar 

  5. White A, Hughes JM. Critical importance of a one Health Approach to Antimicrobial Resistance. EcoHealth. 2019;16(3):404–9. https://doi.org/10.1007/s10393-019-01415-5.

    Article  PubMed  Google Scholar 

  6. Tacconelli E, Sifakis F, Harbarth S, Schrijver R, van Mourik M, Voss A, Sharland M, Rajendran NB, Rodriguez-Bano J, Group EP-NC-M. Surveillance for control of antimicrobial resistance. Lancet Infect Dis. 2018;18(3):e99–e106. https://doi.org/10.1016/S1473-3099(17)30485-1.

    Article  PubMed  Google Scholar 

  7. Fuhrmeister AS, Jones RN. The importance of Antimicrobial Resistance Monitoring Worldwide and the Origins of SENTRY Antimicrobial Surveillance Program. Open Forum Infect Dis. 2019;6(Suppl 1):S1–S4. https://doi.org/10.1093/ofid/ofy346.

    Article  PubMed  PubMed Central  Google Scholar 

  8. WHO.: Global antimicrobial resistance and use surveillance system (GLASS) report. [http://www.who.int/glass/resources/publications/early-implementation-report-2020/en/]].

  9. WHO.: Antimicrobial Resistance: Global Report on Surveillance. [https://apps.who.int/iris/bitstream/handle/10665/112642/9789241564748_eng.pdf?sequence=1&isAllowed=y]

  10. Patel S, Jhass A, Slee A, Hopkins S, Shallcross L. Variation in approaches to antimicrobial use surveillance in high-income secondary care settings: a systematic review. J Antimicrob Chemother. 2021;76(8):1969–77. https://doi.org/10.1093/jac/dkab125.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Arksey H, O’Malley L. Scoping studies: towards a methodological framework. International Journal of Social Research Methodology 2005, 8(1):19–32. https://doi.org/10.1080/1364557032000119616.

  12. Tricco AC, Lillie E, Zarin W, O’Brien KK, Colquhoun H, Levac D, Moher D, Peters MDJ, Horsley T, Weeks L et al. PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation. Ann Intern Med 2018, 169(7):467–473. https://doi.org/10.7326/M18-0850.

  13. Thomas J, Harden A. Methods for the thematic synthesis of qualitative research in systematic reviews. BMC Med Res Methodol 2008, 8(1):45. https://doi.org/10.1186/1471-2288-8-45.

  14. Hannon SJ, Brault SA, Otto SJG, Morley PS, McAllister TA, Booker CW, Gow SP. Feedlot Cattle Antimicrobial Use Surveillance Network: A Canadian Journey. Front Vet Sci 2020, 7:596042. https://doi.org/10.3389/fvets.2020.596042.

  15. Hedman HD, Vasco KA, Zhang L. A Review of Antimicrobial Resistance in Poultry Farming within Low-Resource Settings. Animals (Basel) 2020, 10(8):1–39. https://doi.org/10.3390/ani10081264.

  16. Fluit AC, van der Bruggen JT, Aarestrup FM, Verhoef J, Jansen WT. Priorities for antibiotic resistance surveillance in Europe. Clin Microbiol Infect 2006, 12(5):410–417. https://doi.org/10.1111/j.1469-0691.2006.01406.x.

  17. Gandra S, Alvarez-Uria G, Turner P, Joshi J, Limmathurotsakul D, van Doorn HR. Antimicrobial Resistance Surveillance in Low- and Middle-Income Countries: Progress and Challenges in Eight South Asian and Southeast Asian Countries. Clin Microbiol Rev 2020, 33(3). https://doi.org/10.1128/CMR.00048-19.

  18. Malania L, Wagenaar I, Karatuna O, Tambic Andrasevic A, Tsereteli D, Baidauri M, Imnadze P, Nahrgang S, Ruesen C. Setting up laboratory-based antimicrobial resistance surveillance in low- and middle-income countries: lessons learned from Georgia. Clin Microbiol Infect 2021, 27(10):1409–1413. https://doi.org/10.1016/j.cmi.2021.05.027.

  19. Vernet G, Mary C, Altmann DM, Doumbo O, Morpeth S, Bhutta ZA, Klugman KP. Surveillance for antimicrobial drug resistance in under-resourced countries. Emerg Infect Dis 2014, 20(3):434–441. https://doi.org/10.3201/EID2003.121157.

  20. Ferguson JK, Joseph J, Kangapu S, Zoleveke H, Townell N, Duke T, Manning L, Lavu E. Quality microbiological diagnostics and antimicrobial susceptibility testing, an essential component of antimicrobial resistance surveillance and control efforts in Pacific island nations. Western Pac Surveill Response J 2020, 11(1):41–46. https://doi.org/10.5365/wpsar.2018.9.3.004.

  21. Iskandar K, Molinier L, Hallit S, Sartelli M, Hardcastle TC, Haque M, Lugova H, Dhingra S, Sharma P, Islam S et al. Surveillance of antimicrobial resistance in low- and middle-income countries: a scattered picture. Antimicrob Resist Infect Control 2021, 10(1):63. https://doi.org/10.1186/s13756-021-00931-w.

  22. Queenan K, Hasler B, Rushton J. A One Health approach to antimicrobial resistance surveillance: is there a business case for it? Int J Antimicrob Agents 2016, 48(4):422–427. https://doi.org/10.1016/j.ijantimicag.2016.06.014.

  23. Perovic O, Schultsz C. Stepwise approach for implementation of antimicrobial resistance surveillance in Africa. Afr J Lab Med 2016, 5(3):482. https://doi.org/10.4102/ajlm.v5i3.482.

  24. Hazim C, Abubeker Ibrahim R, Westercamp M, Belete GA, Amare Kibret B, Kanter T, Yimer G, Adem TS, Stevenson KB, Urrego M et al. Establishment of a Sentinel Laboratory-Based Antimicrobial Resistance Surveillance Network in Ethiopia. Health Secur 2018, 16(S1):S30-S36. https://doi.org/10.1089/hs.2018.0052.

  25. Ibrahim RA, Teshal AM, Dinku SF, Abera NA, Negeri AA, Desta FG, Seyum ET, Gemeda AW, Keficho WM. Antimicrobial resistance surveillance in Ethiopia: Implementation experiences and lessons learned. Afr J Lab Med 2018, 7(2):770. https://doi.org/10.4102/ajlm.v7i2.770.

  26. Mader R, Damborg P, Amat JP, Bengtsson B, Bourely C, Broens EM, Busani L, Crespo-Robledo P, Filippitzi ME, Fitzgerald W et al. Building the European Antimicrobial Resistance Surveillance network in veterinary medicine (EARS-Vet). Euro Surveill 2021, 26(4):2001359–2001359. https://doi.org/10.2807/1560-7917.ES.2021.26.4.2001359.

  27. Mugerwa I, Nabadda SN, Midega J, Guma C, Kalyesubula S, Muwonge A. Antimicrobial Resistance situational analysis 2019–2020: design and performance for Human Health Surveillance in Uganda. Trop Med Infect Dis. 2021;6(4). https://doi.org/10.3390/tropicalmed6040178.

  28. Opintan JA, Newman MJ, Arhin RE, Donkor ES, Gyansa-Lutterodt M, Mills-Pappoe W. Laboratory-based nationwide surveillance of antimicrobial resistance in Ghana. Infect Drug Resist. 2015;8:379–89. https://doi.org/10.2147/IDR.S88725.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Seale AC, Gordon NC, Islam J, Peacock SJ, Scott JAG. AMR Surveillance in low and middle-income settings - a roadmap for participation in the global Antimicrobial Surveillance System (GLASS). Wellcome Open Res. 2017;2:92. https://doi.org/10.12688/wellcomeopenres.12527.1.

    Article  PubMed  PubMed Central  Google Scholar 

  30. Spiteri G, Cole M, Unemo M, Hoffmann S, Ison C, van de Laar M. The European Gonococcal Antimicrobial Surveillance Programme (Euro-GASP)--a sentinel approach in the European Union (EU)/European Economic Area (EEA). Sex Transm Infect 2013, 89 Suppl 4(SUPPL. 4):iv16-18. https://doi.org/10.1136/sextrans-2013-051117.

  31. Acharya J, Zolfo M, Enbiale W, Kyaw KWY, Bhattachan M, Rijal N, Shrestha A, Shrestha B, Madhup SK, Raghubanshi BR, et al. Quality Assessment of an Antimicrobial Resistance Surveillance System in a Province of Nepal. Trop Med Infect Dis. 2021;6(2). https://doi.org/10.3390/tropicalmed6020060.

  32. Ashley EA, Shetty N, Patel J, van Doorn R, Limmathurotsakul D, Feasey NA, Okeke IN, Peacock SJ. Harnessing alternative sources of antimicrobial resistance data to support surveillance in low-resource settings. J Antimicrob Chemother. 2019;74(3):541–6. https://doi.org/10.1093/jac/dky487.

    Article  CAS  PubMed  Google Scholar 

  33. Bala M, Tapsall JW, Limnios A, Sood S, Ray K. Experience with an external quality assurance scheme for antimicrobial susceptibility testing of Neisseria gonorrhoeae in India, 2001–2007. Epidemiol Infect. 2010;138(1):69–75. https://doi.org/10.1017/S0950268809990148.

    Article  CAS  PubMed  Google Scholar 

  34. Chandrasekera RM, Lesho EP, Chukwuma U, Cummings JF, Waterman PE. The state of antimicrobial resistance surveillance in the military health system: a review of improvements made in the last 10 years and remaining surveillance gaps. Mil Med. 2015;180(2):145–50. https://doi.org/10.7205/MILMED-D-14-00297.

    Article  PubMed  Google Scholar 

  35. Deckert A, Gow S, Rosengren L, Leger D, Avery B, Daignault D, Dutil L, Reid-Smith R, Irwin R. Canadian Integrated Program for Antimicrobial Resistance Surveillance (CIPARS) Farm Program: results from finisher pig surveillance. Zoonoses Public Health. 2010;57(Suppl 1):71–84. https://doi.org/10.1111/j.1863-2378.2010.01356.x.

    Article  CAS  PubMed  Google Scholar 

  36. Kakooza F, Musinguzi P, Workneh M, Walwema R, Kyambadde P, Mande E, Lubega C, Nakasi JM, Kiggundu R, Hamill MM, et al. Implementation of a standardised and quality-assured enhanced gonococcal antimicrobial surveillance programme in accordance with WHO protocols in Kampala, Uganda. Sex Transm Infect. 2021;97(4):312–6. https://doi.org/10.1136/sextrans-2020-054581.

    Article  PubMed  Google Scholar 

  37. Kariuki S, Keddy KH, Antonio M, Okeke IN. Antimicrobial resistance surveillance in Africa: successes, gaps and a roadmap for the future. Afr J Lab Med. 2018;7(2):924. https://doi.org/10.4102/ajlm.v7i2.924.

    Article  PubMed  PubMed Central  Google Scholar 

  38. Léger D, Deckert A, Gow S, Agunos A, Reid-Smith RJ. The canadian Integrated Program for Antimicrobial Resistance Surveillance: an approach to building collaboration for a voluntary farm surveillance framework. Épidémiologie et Santé Animale. 2011;59–60:348–51.

    Google Scholar 

  39. Malla S, Dumre SP, Shakya G, Kansakar P, Rai B, Hossain A, Nair GB, Albert MJ, Sack D, Baker S, et al. The challenges and successes of implementing a sustainable antimicrobial resistance surveillance programme in Nepal. BMC Public Health. 2014;14(1):269. https://doi.org/10.1186/1471-2458-14-269.

    Article  PubMed  PubMed Central  Google Scholar 

  40. Monnet DL. Toward multinational antimicrobial resistance surveillance systems in Europe. Int J Antimicrob Agents. 2000;15(2):91–101. https://doi.org/10.1016/s0924-8579(00)00148-5.

    Article  CAS  PubMed  Google Scholar 

  41. Nabadda S, Kakooza F, Kiggundu R, Walwema R, Bazira J, Mayito J, Mugerwa I, Sekamatte M, Kambugu A, Lamorde M, et al. Implementation of the World Health Organization Global Antimicrobial Resistance Surveillance System in Uganda, 2015–2020: mixed-methods study using National Surveillance Data. JMIR Public Health Surveill. 2021;7(10):e29954. https://doi.org/10.2196/29954.

    Article  PubMed  PubMed Central  Google Scholar 

  42. Saeed DK, Hasan R, Naim M, Zafar A, Khan E, Jabeen K, Irfan S, Ahmed I, Zeeshan M, Wajidali Z, et al. Readiness for antimicrobial resistance (AMR) surveillance in Pakistan; a model for laboratory strengthening. Antimicrob Resist Infect Control. 2017;6(1):101. https://doi.org/10.1186/s13756-017-0260-6.

    Article  PubMed  PubMed Central  Google Scholar 

  43. Seale AC, Hutchison C, Fernandes S, Stoesser N, Kelly H, Lowe B, Turner P, Hanson K, Chandler CIR, Goodman C, et al. Supporting surveillance capacity for antimicrobial resistance: laboratory capacity strengthening for drug resistant infections in low and middle income countries. Wellcome Open Res. 2017;2:91. https://doi.org/10.12688/wellcomeopenres.12523.1.

    Article  PubMed  PubMed Central  Google Scholar 

  44. Simjee S, McDermott P, Trott DJ, Chuanchuen R. Present and Future Surveillance of Antimicrobial Resistance in Animals: Principles and Practices. Microbiol Spectr. 2018;6(4). https://doi.org/10.1128/microbiolspec.ARBA-0028-2017.

  45. Frost I, Kapoor G, Craig J, Liu D, Laxminarayan R. Status, challenges and gaps in antimicrobial resistance surveillance around the world. J Glob Antimicrob Resist. 2021;25:222–6. https://doi.org/10.1016/j.jgar.2021.03.016.

    Article  CAS  PubMed  Google Scholar 

  46. Singh-Moodley A, Ismail H, Perovic O. An overview of antimicrobial resistance surveillance among healthcare-associated pathogens in South Africa. Afr J Lab Med. 2018;7(2):741. https://doi.org/10.4102/ajlm.v7i2.741.

    Article  PubMed  PubMed Central  Google Scholar 

  47. Lim C, Ashley EA, Hamers RL, Turner P, Kesteman T, Akech S, Corso A, Mayxay M, Okeke IN, Limmathurotsakul D, et al. Surveillance strategies using routine microbiology for antimicrobial resistance in low- and middle-income countries. Clin Microbiol Infect. 2021;27(10):1391–9. https://doi.org/10.1016/j.cmi.2021.05.037.

    Article  PubMed  PubMed Central  Google Scholar 

  48. Rattanaumpawan P, Boonyasiri A, Vong S, Thamlikitkul V. Systematic review of electronic surveillance of infectious diseases with emphasis on antimicrobial resistance surveillance in resource-limited settings. Am J Infect Control. 2018;46(2):139–46. https://doi.org/10.1016/j.ajic.2017.08.006.

    Article  CAS  PubMed  Google Scholar 

  49. Kaur J, Sharma A, Dhama AS, Buttolia H, Ohri VC, Walia K, Sharma AK, Yahara K, Ahmad R, Singh H. Developing a hybrid antimicrobial resistance surveillance system in India: needs & challenges. Indian J Med Res. 2019;149(2):299–302. https://doi.org/10.4103/ijmr.IJMR_2074_17.

    Article  PubMed  PubMed Central  Google Scholar 

  50. Argimon S, Masim MAL, Gayeta JM, Lagrada ML, Macaranas PKV, Cohen V, Limas MT, Espiritu HO, Palarca JC, Chilam J, et al. Integrating whole-genome sequencing within the National Antimicrobial Resistance Surveillance Program in the Philippines. Nat Commun. 2020;11(1):2719. https://doi.org/10.1038/s41467-020-16322-5.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  51. Mitchell MEV, Alders R, Unger F, Nguyen-Viet H, Le TTH, Toribio JA. The challenges of investigating antimicrobial resistance in Vietnam - what benefits does a one health approach offer the animal and human health sectors? BMC Public Health. 2020;20(1):213. https://doi.org/10.1186/s12889-020-8319-3.

    Article  PubMed  PubMed Central  Google Scholar 

  52. Burns T, Radke BR, Stitt T, Ribble C. Developing an evidence-based approach for antimicrobial resistance reporting for British Columbia diagnostic animal health laboratory data. Can Vet J. 2018;59(5):480–90.

    CAS  PubMed  PubMed Central  Google Scholar 

  53. Bennani H, Cornelsen L, Stark KDC, Hasler B. Characterisation and mapping of the surveillance system for antimicrobial resistance and antimicrobial use in the United Kingdom. Vet Rec. 2021;188(7):e10. https://doi.org/10.1002/vetr.10.

    Article  PubMed  Google Scholar 

  54. Mader R, Jarrige N, Haenni M, Bourely C, Madec JY, Amat JP, Eu J. OASIS evaluation of the french surveillance network for antimicrobial resistance in diseased animals (RESAPATH): success factors underpinning a well-performing voluntary system. Epidemiol Infect. 2021;149:e104. https://doi.org/10.1017/S0950268821000856.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  55. Altorf-van der Kuil W, Schoffelen AF, de Greeff SC, Thijsen SF, Alblas HJ, Notermans DW, Vlek AL, van der Sande MA, Leenstra T, National AMRSSG. National laboratory-based surveillance system for antimicrobial resistance: a successful tool to support the control of antimicrobial resistance in the Netherlands. Euro Surveill. 2017;22(46):1–1. https://doi.org/10.2807/1560-7917.ES.2017.22.46.17-00062.

    Article  Google Scholar 

  56. Collineau L, Boerlin P, Carson CA, Chapman B, Fazil A, Hetman B, McEwen SA, Parmley EJ, Reid-Smith RJ, Taboada EN, et al. Integrating whole-genome sequencing data into quantitative risk Assessment of Foodborne Antimicrobial Resistance: A Review of Opportunities and Challenges. Front Microbiol. 2019;10(MAY):1107. https://doi.org/10.3389/fmicb.2019.01107.

    Article  PubMed  PubMed Central  Google Scholar 

  57. Rempel O, Pitout JD, Laupland KB. Antimicrobial resistance surveillance systems: are potential biases taken into account? Can J Infect Dis Med Microbiol. 2011;22(4):e24–28. https://doi.org/10.1155/2011/276017.

    Article  PubMed  PubMed Central  Google Scholar 

  58. Pokharel S, Raut S, Adhikari B. Tackling antimicrobial resistance in low-income and middle-income countries. BMJ Global Health. 2019;4(6):e002104. https://doi.org/10.1136/bmjgh-2019-002104.

    Article  PubMed  PubMed Central  Google Scholar 

  59. Hoffman SJ, Caleo GM, Daulaire N, Elbe S, Matsoso P, Mossialos E, Rizvi Z, Rottingen JA. Strategies for achieving global collective action on antimicrobial resistance. Bull World Health Organ. 2015;93(12):867–76. https://doi.org/10.2471/BLT.15.153171.

    Article  PubMed  PubMed Central  Google Scholar 

  60. Leger A, Lambraki I, Graells T, Cousins M, Henriksson PJG, Harbarth S, Carson C, Majowicz S, Troell M, Parmley EJ, et al. AMR-Intervene: a social-ecological framework to capture the diversity of actions to tackle antimicrobial resistance from a one health perspective. J Antimicrob Chemother. 2021;76(1):1–21. https://doi.org/10.1093/jac/dkaa394.

    Article  CAS  PubMed  Google Scholar 

  61. Jitmuang A, Naksanguan T, Sirijatuphat R, Supapueng O, Kiratisin P, Thamlikitkul V. Implementation of the world health organization’s global antimicrobial resistance Surveillance System (GLASS) for the surveillance of sputum specimens collected from patients at Siriraj Hospital. J Med Assoc Thai. 2020;103(3):198–209.

    Google Scholar 

  62. WHO.: Global antimicrobial resistance surveillance system. World Health Organization. [https://www.nih.org.pk/wp-content/uploads/2019/10/GLASS-2017-2018-report.pdf].

  63. WHO.: Diagnostic stewardship: a guide to implementation in antimicrobial resistance surveillance sites. World Health Organization. [https://apps.who.int/iris/bitstream/handle/10665/251553/WHO-DGO-AMR-2016.3-eng.pdf].

  64. Menon AN, Rosenfeld E, Brush CA. Law and the JEE: Lessons for IHR implementation. Health Secur. 2018;16(S1):11–S17. https://doi.org/10.1089/hs.2018.0053.

    Article  Google Scholar 

  65. Tsai FJ, Katz R. Measuring Global Health Security: comparison of self- and external evaluations for IHR Core Capacity. Health Secur. 2018;16(5):304–10. https://doi.org/10.1089/hs.2018.0019.

    Article  PubMed  Google Scholar 

  66. Robinson TP, Bu DP, Carrique-Mas J, Fevre EM, Gilbert M, Grace D, Hay SI, Jiwakanon J, Kakkar M, Kariuki S, et al. Antibiotic resistance is the quintessential one health issue. Trans R Soc Trop Med Hyg. 2016;110(7):377–80. https://doi.org/10.1093/trstmh/trw048.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  67. Aenishaenslin C, Hasler B, Ravel A, Parmley EJ, Mediouni S, Bennani H, Stark KDC, Buckeridge DL. Evaluating the integration of one health in Surveillance Systems for Antimicrobial Use and Resistance: a conceptual Framework. Front Vet Sci. 2021;8:611931. https://doi.org/10.3389/fvets.2021.611931.

    Article  PubMed  PubMed Central  Google Scholar 

  68. Aenishaenslin C, Hasler B, Ravel A, Parmley J, Stark K, Buckeridge D. Evidence needed for antimicrobial resistance surveillance systems. Bull World Health Organ. 2019;97(4):283–9. https://doi.org/10.2471/BLT.18.218917.

    Article  PubMed  PubMed Central  Google Scholar 

  69. Diallo OO, Baron SA, Abat C, Colson P, Chaudet H, Rolain JM. Antibiotic resistance surveillance systems: a review. J Glob Antimicrob Resist. 2020;23:430–8. https://doi.org/10.1016/j.jgar.2020.10.009.

    Article  PubMed  Google Scholar 

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The main author, Phu Cong Do, is a recipient of the Australian Government Research Training Program (RTP) scholarship for higher degree research students provided by the University of Queensland (UQ). The funders had nil input in the conceptualisation, drafting, or input of the research conducted.

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Do, P.C., Assefa, Y.A., Batikawai, S.M. et al. Strengthening antimicrobial resistance surveillance systems: a scoping review. BMC Infect Dis 23, 593 (2023). https://doi.org/10.1186/s12879-023-08585-2

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