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      Rural community perceptions of antibiotic access and understanding of antimicrobial resistance: qualitative evidence from the Health and Demographic Surveillance System site in Matlab, Bangladesh

      research-article
      a , b , b , c , d , e , f , f , b , g
      Global Health Action
      Taylor & Francis
      Antimicrobial, drug, compliance, qualitative, ABACUS

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          ABSTRACT

          Background

          The use of large quantities of antimicrobial drugs for human health and agriculture is advancing the predominance of drug resistant pathogens in the environment. Antimicrobial resistance is now a major public health threat posing significant challenges for achieving the Sustainable Development Goals. In Bangladesh, where over one third of the population is below the poverty line, the achievement of safe and effective antibiotic medication use for human health is challenging.

          Objective

          To explore factors and practices around access and use of antibiotics and understanding of antimicrobial resistance in rural communities in Bangladesh from a socio-cultural perspective.

          Methods

          This qualitative study comprises the second phase of the multi-country ABACUS (Antibiotic Access and Use) project in Matlab, Bangladesh. Information was collected through six focus group discussions and 16 in-depth interviews. Informants were selected from ten villages in four geographic locations using the Health and Demographic Surveillance System database. The Access to Healthcare Framework guided the interpretation and framing of the findings in terms of individuals’ abilities to: perceive, seek, reach, pay and engage with healthcare.

          Results

          Village pharmacies were the preferred and trusted source of antibiotics for self-treatment. Cultural and religious beliefs informed the use of herbal and other complementary medicines. Advice on antibiotic use was also sourced from trusted friends and family members. Access to government-run facilities required travel on poorly maintained roads. Reports of structural corruption, stock-outs and patient safety risks eroded trust in the public sector. Some expressed a willingness to learn about antibiotic resistance.

          Conclusion

          Antimicrobial resistance is both a health and development issue. Social and economic contexts shape medicine seeking, use and behaviours. Multi-sectoral action is needed to confront the underlying social, economic, cultural and political drivers that impact on the access and use of antibiotic medicines in Bangladesh.

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          Most cited references44

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          Antibiotic resistance-the need for global solutions.

          The causes of antibiotic resistance are complex and include human behaviour at many levels of society; the consequences affect everybody in the world. Similarities with climate change are evident. Many efforts have been made to describe the many different facets of antibiotic resistance and the interventions needed to meet the challenge. However, coordinated action is largely absent, especially at the political level, both nationally and internationally. Antibiotics paved the way for unprecedented medical and societal developments, and are today indispensible in all health systems. Achievements in modern medicine, such as major surgery, organ transplantation, treatment of preterm babies, and cancer chemotherapy, which we today take for granted, would not be possible without access to effective treatment for bacterial infections. Within just a few years, we might be faced with dire setbacks, medically, socially, and economically, unless real and unprecedented global coordinated actions are immediately taken. Here, we describe the global situation of antibiotic resistance, its major causes and consequences, and identify key areas in which action is urgently needed. Copyright © 2013 Elsevier Ltd. All rights reserved.
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            What can “thematic analysis” offer health and wellbeing researchers?

            The field of health and wellbeing scholarship has a strong tradition of qualitative research—and rightly so. Qualitative research offers rich and compelling insights into the real worlds, experiences, and perspectives of patients and health care professionals in ways that are completely different to, but also sometimes complimentary to, the knowledge we can obtain through quantitative methods. There is a strong tradition of the use of grounded theory within the field—right from its very origins studying dying in hospital (Glaser & Strauss, 1965)—and this covers the epistemological spectrum from more positivist forms (Glaser, 1992, 1978) through to the constructivist approaches developed by Charmaz (2006) in, for instance, her compelling study of the loss of self in chronic illness (Charmaz, 1983). Similarly, narrative approaches (Riessman, 2007) have been used to provide rich and detailed accounts of the social formations shaping subjective experiences of health and well-being (e.g., Riessman, 2000). Phenomenological and hermeneutic approaches, including the more recently developed interpretative phenomenological analysis (Smith, Flowers, & Larkin, 2009), are similarly regularly used in health and wellbeing research, and they suit it well, oriented as they are to the experiential and interpretative realities of the participants themselves (e.g., Smith & Osborn, 2007). Thematic analysis (TA) has a less coherent developmental history. It appeared as a “method” in the 1970s but was often variably and inconsistently used. Good specification and guidelines were laid out by Boyatzis (1998) in a key text focused around “coding and theme development” that moved away from the embrace of grounded theory. But “thematic analysis” as a named, claimed, and widely used approach really “took off” within the social and health sciences following the publication of our paper Using thematic analysis in psychology in 2006 (Braun & Clarke, 2006; see also Braun & Clarke, 2012, 2013; Braun, Clarke, & Rance, 2014; Braun, Clarke, & Terry, 2014; Clarke & Braun, 2014a, 2014b). The “in psychology” part of the title has been widely disregarded, and the paper is used extensively across a multitude of disciplines, many of which often include a health focus. As tends to be the case when analytic approaches “mature,” different variations of TA have appeared: ours offer a theoretically flexible approach; others (e.g., Boyatzis, 1998; Guest, MacQueen, & Namey, 2012; Joffe, 2011) locate TA implicitly or explicitly within more realist/post-positivist paradigms. They do so through, for instance, advocating the development of coding frames, which facilitate the generation of measures like inter-rater reliability, a concept we find problematic in relation to qualitative research (see Braun & Clarke, 2013). Part of this difference results from the broad framework within which qualitative research is conducted: a “Big Q” qualitative framework, or a “small q” more traditional, positivist/quantitative framework (see Kidder & Fine, 1987). Qualitative health and wellbeing researchers will be researching across these research traditions—making TA a method well-suited to the varying needs and requirements of a wide variety of research projects. Despite the widespread uptake of TA as a formalised method within the qualitative analysis canon, and within health and wellbeing research, we often get emails from researchers saying they have been queried about the validity of TA as a method, or as a method suitable for their particular research project. For instance, we get emails from doctoral students or potential doctoral students, who have been told that “TA isn't sophisticated enough for a doctoral project” or emails from researchers who have been told that TA is only a descriptive or positivist method that requires no interpretative analysis. We get emails from people asking how to respond to reviewer queries on articles submitted for publication, where the validity of TA has been raised. We get so many emails, that we've created a website with answers to many of the questions we get: www.psych.auckland.ac.nz/thematicanalysis. The queries or critiques often reveal a lack of understanding about the potential of TA, and also about the variability and flexibility of the method. They often seem to assume a realist, descriptive method, and a method that lacks nuance, subtlety, or interpretative depth. This is incorrect. TA can be used in a realist or descriptive way, but it is not limited to that. The version of TA we've developed provides a robust, systematic framework for coding qualitative data, and for then using that coding to identify patterns across the dataset in relation to the research question. The questions of what level patterns are sought at, and what interpretations are made of those patterns, are left to the researcher. This is because the techniques are separate from the theoretical orientation of the research. TA can be done poorly, or it can be done within theoretical frameworks you might disagree with, but those are not reasons to reject the whole approach outright. TA offers a really useful qualitative approach for those doing more applied research, which some health research is, or when doing research that steps outside of academia, such as into the policy or practice arenas. TA offers a toolkit for researchers who want to do robust and even sophisticated analyses of qualitative data, but yet focus and present them in a way which is readily accessible to those who aren't part of academic communities. And, as a comparatively easy to learn qualitative analytic approach, without deep theoretical commitments, it works well for research teams where some are more and some are less qualitatively experienced. Ultimately, choice of analytic approach will depend on a cluster of factors, including what topic the research explores, what the research question is, who conducts the research, what their research experience is, who makes up the intended audience(s) of the research, the theoretical location(s) of the research, the research context, and many others. Some of these are somewhat fluid, some are more fixed. Ultimately, we advocate for an approach to qualitative research which is deliberative, reflective, and thorough. TA provides a tool that can serve these purposes well, but it doesn't serve every purpose. It can be used widely for health and wellbeing research, but it also needs to be used wisely. Virginia Braun School of Psychology, The University of AucklandPrivate Bag 92019, Auckland Mail Centre 1142Auckland, New ZealandEmail: v.braun@auckland.ac.nz Victoria Clarke Department of Health and Social Sciences, University of the West of EnglandBristol BS16 1QY, UK
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              The threat of antimicrobial resistance in developing countries: causes and control strategies

              The causes of antimicrobial resistance (AMR) in developing countries are complex and may be rooted in practices of health care professionals and patients’ behavior towards the use of antimicrobials as well as supply chains of antimicrobials in the population. Some of these factors may include inappropriate prescription practices, inadequate patient education, limited diagnostic facilities, unauthorized sale of antimicrobials, lack of appropriate functioning drug regulatory mechanisms, and non-human use of antimicrobials such as in animal production. Considering that these factors in developing countries may vary from those in developed countries, intervention efforts in developing countries need to address the context and focus on the root causes specific to this part of the world. Here, we describe these health-seeking behaviors that lead to the threat of AMR and healthcare practices that drive the development of AMR in developing countries and we discuss alternatives for disease prevention as well as other treatment options worth exploring.
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                Author and article information

                Journal
                Glob Health Action
                Glob Health Action
                Global Health Action
                Taylor & Francis
                1654-9716
                1654-9880
                12 October 2020
                2019
                : 12
                : Suppl 1 , Antimicrobial Resistance
                : 1824383
                Affiliations
                [a ]Outcomes Research Department, Reveal AB; , Stockholm, Sweden
                [b ]Department of Epidemiology and Global Health, Umeå University; , Umeå, Sweden
                [c ]Research Centre for Generational Health and Ageing, Faculty of Health, University of Newcastle; , Callaghan, Australia
                [d ]Clinical Research Unit, Oxford University; , Hanoi, Vietnam
                [e ]Department of Medical Microbiology and Radboud Centre for Infectious Disease, Radboud University Nijmegen Medical Centre; , Nijmegen, Netherlands
                [f ]International Centre for Diarrhoeal Disease Research, Enteric and Respiratory Infections Infectious Diseases Division, 68, Shaheed Tajuddin Ahmed Sharani; , Dhaka, Bangladesh
                [g ]Department of Public Health Sciences, Global Health (IHCAR), Karolinska Institutet; , Stockholm, Sweden
                Author notes
                CONTACT Jennifer Stewart Williams Jennifer.Stewart.Williams@ 123456umu.se Department of Epidemiology and Global Health, Umeå University; , UmeåSE-90187, Sweden
                Author information
                https://orcid.org/0000-0003-4630-909X
                https://orcid.org/0000-0001-6533-0762
                https://orcid.org/0000-0002-5003-5565
                https://orcid.org/0000-0002-7650-8068
                https://orcid.org/0000-0002-7737-8541
                https://orcid.org/0000-0003-1332-4138
                Article
                1824383
                10.1080/16549716.2020.1824383
                7580843
                33040695
                cf0180a6-f6fa-4493-a955-b6c1f9f15e42
                © 2020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                Page count
                Figures: 2, Tables: 2, References: 52, Pages: 1
                Categories
                Research-Article
                Original Article

                Health & Social care
                antimicrobial,drug,compliance,qualitative,abacus
                Health & Social care
                antimicrobial, drug, compliance, qualitative, abacus

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