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      Non-adherence to oral antibiotics for community paediatric pneumonia treatment in Malawi – A qualitative investigation

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          Abstract

          Background Pneumonia remains the leading cause of paediatric infectious mortality globally. Treatment failure, which can result from non-adherence to oral antibiotics, can lead to poor outcomes and therefore improving adherence could be a strategy to reduce pneumonia related morbidity and mortality. However, there is little published evidence from low-resource settings for the drivers of non-adherence to oral antibiotics in children. Objective We aimed to investigate reasons for adherence and non-adherence in children diagnosed and treated in the community with fast-breathing pneumonia in rural Malawi. Methods We conducted focus group discussions (FGDs) with caregivers of children known to have been diagnosed and treated with oral antibiotics for fast-breathing pneumonia in the community and key informant interviews with community healthcare workers (CHW). FGDs and interviews were conducted within communities in Chichewa, the local language. We used a framework approach to analyze the transcripts. Results We conducted 4 FGDs with caregivers and 10 interviews with CHWs. We identified four themes, which were common across caregivers and CHWs: knowledge and understanding, effort, medication perceptions and community influences. Caregivers and CHWs demonstrated good knowledge of pneumonia and types of treatment, but caregivers showed confusion around dosing and treatment durations. Effort was needed to seek care, prepare medication and understand regimens, acting as a barrier to adherence. Perceptions of how well the treatment was working influenced adherence, with both quick recovery and slow recovery leading to non-adherence. Community influences were both supportive, with transport assistance for referrals and home visits to improve adherence, and detrimental, with pressure to share treatments. Conclusion Adherence to oral antibiotic treatment for fast-breathing pneumonia was understood to be important, however considerable barriers we described within this rural low-resource setting, such as the effort preparing and administering medication, community pressures to share drugs and potential complexity of regimens.

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          Using the framework method for the analysis of qualitative data in multi-disciplinary health research

          Background The Framework Method is becoming an increasingly popular approach to the management and analysis of qualitative data in health research. However, there is confusion about its potential application and limitations. Discussion The article discusses when it is appropriate to adopt the Framework Method and explains the procedure for using it in multi-disciplinary health research teams, or those that involve clinicians, patients and lay people. The stages of the method are illustrated using examples from a published study. Summary Used effectively, with the leadership of an experienced qualitative researcher, the Framework Method is a systematic and flexible approach to analysing qualitative data and is appropriate for use in research teams even where not all members have previous experience of conducting qualitative research.
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            Global, regional, and national causes of child mortality in 2000-13, with projections to inform post-2015 priorities: an updated systematic analysis.

            Trend data for causes of child death are crucial to inform priorities for improving child survival by and beyond 2015. We report child mortality by cause estimates in 2000-13, and cause-specific mortality scenarios to 2030 and 2035. We estimated the distributions of causes of child mortality separately for neonates and children aged 1-59 months. To generate cause-specific mortality fractions, we included new vital registration and verbal autopsy data. We used vital registration data in countries with adequate registration systems. We applied vital registration-based multicause models for countries with low under-5 mortality but inadequate vital registration, and updated verbal autopsy-based multicause models for high mortality countries. We used updated numbers of child deaths to derive numbers of deaths by causes. We applied two scenarios to derive cause-specific mortality in 2030 and 2035. Of the 6·3 million children who died before age 5 years in 2013, 51·8% (3·257 million) died of infectious causes and 44% (2·761 million) died in the neonatal period. The three leading causes are preterm birth complications (0·965 million [15·4%, uncertainty range (UR) 9·8-24·5]; UR 0·615-1·537 million), pneumonia (0·935 million [14·9%, 13·0-16·8]; 0·817-1·057 million), and intrapartum-related complications (0·662 million [10·5%, 6·7-16·8]; 0·421-1·054 million). Reductions in pneumonia, diarrhoea, and measles collectively were responsible for half of the 3·6 million fewer deaths recorded in 2013 versus 2000. Causes with the slowest progress were congenital, preterm, neonatal sepsis, injury, and other causes. If present trends continue, 4·4 million children younger than 5 years will still die in 2030. Furthermore, sub-Saharan Africa will have 33% of the births and 60% of the deaths in 2030, compared with 25% and 50% in 2013, respectively. Our projection results provide concrete examples of how the distribution of child causes of deaths could look in 15-20 years to inform priority setting in the post-2015 era. More evidence is needed about shifts in timing, causes, and places of under-5 deaths to inform child survival agendas by and beyond 2015, to end preventable child deaths in a generation, and to count and account for every newborn and every child. Bill & Melinda Gates Foundation. Copyright © 2015 Elsevier Ltd. All rights reserved.
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              A new taxonomy for describing and defining adherence to medications.

              Interest in patient adherence has increased in recent years, with a growing literature that shows the pervasiveness of poor adherence to appropriately prescribed medications. However, four decades of adherence research has not resulted in uniformity in the terminology used to describe deviations from prescribed therapies. The aim of this review was to propose a new taxonomy, in which adherence to medications is conceptualized, based on behavioural and pharmacological science, and which will support quantifiable parameters. A systematic literature review was performed using MEDLINE, EMBASE, CINAHL, the Cochrane Library and PsycINFO from database inception to 1 April 2009. The objective was to identify the different conceptual approaches to adherence research. Definitions were analyzed according to time and methodological perspectives. A taxonomic approach was subsequently derived, evaluated and discussed with international experts. More than 10 different terms describing medication-taking behaviour were identified through the literature review, often with differing meanings. The conceptual foundation for a new, transparent taxonomy relies on three elements, which make a clear distinction between processes that describe actions through established routines ('Adherence to medications', 'Management of adherence') and the discipline that studies those processes ('Adherence-related sciences'). 'Adherence to medications' is the process by which patients take their medication as prescribed, further divided into three quantifiable phases: 'Initiation', 'Implementation' and 'Discontinuation'. In response to the proliferation of ambiguous or unquantifiable terms in the literature on medication adherence, this research has resulted in a new conceptual foundation for a transparent taxonomy. The terms and definitions are focused on promoting consistency and quantification in terminology and methods to aid in the conduct, analysis and interpretation of scientific studies of medication adherence. © 2012 The Authors. British Journal of Clinical Pharmacology © 2012 The British Pharmacological Society.
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                Author and article information

                Contributors
                Journal
                PLOS ONE
                PLoS ONE
                Public Library of Science (PLoS)
                1932-6203
                October 31 2018
                October 31 2018
                : 13
                : 10
                : e0206404
                Article
                10.1371/journal.pone.0206404
                fdeb4602-1d98-4f69-9c24-2d765a0db796
                © 2018

                http://creativecommons.org/licenses/by/4.0/

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