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      Taxonomy of the burden of treatment: a multi-country web-based qualitative study of patients with chronic conditions

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          Abstract

          Background

          Management strategies for patients with chronic conditions are becoming increasingly complex, which may result in a burden of treatment for patients. To develop a Minimally Disruptive Medicine designed to reduce the burden of treatment, clinicians need to understand which healthcare tasks and aggravating factors may be responsible for this burden. The objective of the present study was to describe and classify the components of the burden of treatment for patients with chronic conditions from the patient’s perspective.

          Methods

          We performed a multi-country qualitative study using an online survey and a purposive sampling strategy to select English-, French-, and Spanish-speaking participants with different chronic conditions. Participants were recruited by physicians, patients’ associations, advertisement on social media, and ‘snowballing’. The answers were analyzed by i) manual content analysis with a grounded theory approach, coded by two researchers, and ii) automatic textual analysis by Reinert’s method.

          Results

          Between 2013 and 2014, 1,053 participants from 34 different countries completed the online survey using 408,625 words. Results from both analyses were synthesized in a taxonomy of the burden of treatment, which described i) the tasks imposed on patients by their diseases and by their healthcare system (e.g., medication management, lifestyle changes, follow-up, etc.); ii) the structural (e.g., access to healthcare resources, coordination between care providers), personal, situational, and financial factors that aggravated the burden of treatment; and iii) patient-reported consequences of the burden (e.g., poor adherence to treatments, financial burden, impact on professional, family, and social life, etc.). Our findings may not be applicable to patients with chronic conditions who differ from those who responded to our survey.

          Conclusions

          Our taxonomy of the burden of treatment, provided by patients with chronic conditions from different countries and settings, supports the development of tools to ascertain the burden of treatment and highlights potential targets for interventions to minimize it.

          Electronic supplementary material

          The online version of this article (doi:10.1186/s12916-015-0356-x) contains supplementary material, which is available to authorized users.

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          Most cited references34

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          Potential pitfalls of disease-specific guidelines for patients with multiple conditions.

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            Qualitative interviews in medical research.

            N Britten (1995)
            Much qualitative research is interview based, and this paper provides an outline of qualitative interview techniques and their application in medical settings. It explains the rationale for these techniques and shows how they can be used to research kinds of questions that are different from those dealt with by quantitative methods. Different types of qualitative interviews are described, and the way in which they differ from clinical consultations is emphasised. Practical guidance for conducting such interviews is given.
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              Sampling hard to reach populations.

              Studies on 'hidden populations', such as homeless people, prostitutes and drug addicts, raise a number of specific methodological questions usually absent from research involving known populations and less sensitive subjects. This paper examines the advantages and limitations of nonrandom methods of data collection such as snowball sampling. It reviews the currently available literature on sampling hard to reach populations and highlights the dearth of material currently available on this subject. The paper also assesses the potential for using these methods in nursing research. The sampling methodology used by Faugier (1996) in her study of prostitutes, HIV and drugs is used as a current example within this context.
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                Author and article information

                Contributors
                thi.tran-viet@htd.aphp.fr
                caroline.grace.barnes@gmail.com
                montori.victor@mayo.edu
                bruno.falissard@gmail.com
                philippe.ravaud@htd.aphp.fr
                Journal
                BMC Med
                BMC Med
                BMC Medicine
                BioMed Central (London )
                1741-7015
                14 May 2015
                14 May 2015
                2015
                : 13
                : 115
                Affiliations
                [ ]Department of General Medicine, Paris Diderot University, 16 rue Henri Huchard, 75018 Paris, France
                [ ]Centre de Recherche en Epidémiologie et Statistiques, INSERM U1153, 1 place du Parvis Notre Dame, 75004 Paris, France
                [ ]Centre d’Épidémiologie Clinique, Hôpital Hôtel-Dieu, Assistance Publique-Hôpitaux de Paris, 1 place du Parvis Notre Dame, 75004 Paris, France
                [ ]Paris Descartes University, 12 Rue de l’Ecole de Médecine, 75006 Paris, France
                [ ]Division of Health Care and Policy Research, Department of Health Sciences Research and Knowledge and Evaluation Research Unit, Mayo Clinic, 200 1st St SW, Rochester, MN 55905 USA
                [ ]Paris Sud University, 15 Rue Georges Clemenceau, 91400 Orsay, France
                [ ]INSERM U669, 97 Boulevard de Port Royal, 75679 Paris, France
                [ ]Department of Epidemiology, Columbia University Mailman School of Public Health, 116th St & Broadway, New York, NY 10027 USA
                Article
                356
                10.1186/s12916-015-0356-x
                4446135
                25971838
                3c7d615e-fcb4-49a4-9943-280a588e6f64
                © Tran et al.; licensee BioMed Central. 2015

                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 credited. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 9 December 2014
                : 30 April 2015
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2015

                Medicine
                qualitative research,chronic conditions,cost of illness,burden of treatment,internet study

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