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      How are patients with rare diseases and their carers in the UK impacted by the way care is coordinated? An exploratory qualitative interview study

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          Abstract

          Background

          Care coordination is considered important for patients with rare conditions, yet research addressing the impact of care coordination is limited. This study aimed to explore how care coordination (or lack of) impacts on patients and carers. Semi-structured interviews were conducted with 15 patients and carers/parents in the UK, representing a range of rare conditions (including undiagnosed conditions). Transcripts were analysed thematically in an iterative process.

          Results

          Participants described a range of experiences and views in relation to care coordination. Reports of uncoordinated care emerged: appointments were uncoordinated, communication between key stakeholders was ineffective, patients and carers were required to coordinate their own care, and care was not coordinated to meet the changing needs of patients in different scenarios. As a result, participants experienced an additional burden and barriers/delays to accessing care. The impacts described by patients and carers, either attributed to or exacerbated by uncoordinated care, included: impact on physical health (including fatigue), financial impact (including loss of earnings and travel costs), and psychosocial impact (including disruption to school, work and emotional burden). Overall data highlight the importance of flexible care, which meets individual needs throughout patients’/carers’ journeys. Specifically, study participants suggested that the impacts may be addressed by: having support from a professional to coordinate care, changing the approach of clinics and appointments (where they take place, which professionals/services are available and how they are scheduled), and improving communication through the use of technology, care plans, accessible points of contact and multi-disciplinary team working.

          Conclusion

          This study provides further evidence of impacts of uncoordinated care; these may be complex and influenced by a number of factors. Approaches to coordination which improve access to care and lessen the time and burden placed on patients and carers may be particularly beneficial. Findings should influence future service developments (and the evaluation of such developments). This will be achieved, in the first instance, by informing the CONCORD Study in the UK.

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          Most cited references13

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          Using thematic analysis in psychology

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            Purposeful Sampling for Qualitative Data Collection and Analysis in Mixed Method Implementation Research.

            Purposeful sampling is widely used in qualitative research for the identification and selection of information-rich cases related to the phenomenon of interest. Although there are several different purposeful sampling strategies, criterion sampling appears to be used most commonly in implementation research. However, combining sampling strategies may be more appropriate to the aims of implementation research and more consistent with recent developments in quantitative methods. This paper reviews the principles and practice of purposeful sampling in implementation research, summarizes types and categories of purposeful sampling strategies and provides a set of recommendations for use of single strategy or multistage strategy designs, particularly for state implementation research.
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              Iterative categorization (IC): a systematic technique for analysing qualitative data

              Abstract The processes of analysing qualitative data, particularly the stage between coding and publication, are often vague and/or poorly explained within addiction science and research more broadly. A simple but rigorous and transparent technique for analysing qualitative textual data, developed within the field of addiction, is described. The technique, iterative categorization (IC), is suitable for use with inductive and deductive codes and can support a range of common analytical approaches, e.g. thematic analysis, Framework, constant comparison, analytical induction, content analysis, conversational analysis, discourse analysis, interpretative phenomenological analysis and narrative analysis. Once the data have been coded, the only software required is a standard word processing package. Worked examples are provided.
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                Author and article information

                Contributors
                amy.simpson@geneticalliance.org.uk
                Journal
                Orphanet J Rare Dis
                Orphanet J Rare Dis
                Orphanet Journal of Rare Diseases
                BioMed Central (London )
                1750-1172
                10 February 2021
                10 February 2021
                2021
                : 16
                : 76
                Affiliations
                [1 ]GRID grid.434654.4, Genetic Alliance UK, ; Third Floor, 86-90 Paul Street, London, EC2A 4NE UK
                [2 ]The Ehlers-Danlos Society, Office 7, 35-37 Ludgate Hill, London, EC4M 7JN UK
                [3 ]GRID grid.83440.3b, ISNI 0000000121901201, Department of Applied Health Research, , University College London, ; London, UK
                [4 ]GRID grid.5335.0, ISNI 0000000121885934, Department of Public Health and Primary Care, Institute of Public Health, , University of Cambridge, ; Forvie Site, Robinson Way, Cambridge, UK
                [5 ]Alstrom Syndrome UK, 4 St Kitts Close, Torquay, TQ2 7GD Devon UK
                [6 ]GRID grid.83440.3b, ISNI 0000000121901201, UCL and Great Ormond Street Institute of Child Health, ; London, UK
                Author information
                http://orcid.org/0000-0001-7880-4218
                http://orcid.org/0000-0001-5306-6140
                http://orcid.org/0000-0002-8746-059X
                Article
                1664
                10.1186/s13023-020-01664-6
                7874609
                33568181
                93ecc173-10eb-4e65-9409-e5508f5ef969
                © The Author(s) 2021

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.

                History
                : 9 July 2020
                : 22 December 2020
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100002001, Health Services and Delivery Research Programme;
                Award ID: 16/116/82
                Award Recipient :
                Categories
                Research
                Custom metadata
                © The Author(s) 2021

                Infectious disease & Microbiology
                care coordination,financial impact,psychosocial impact,undiagnosed conditions,patient experience,carer experience,care coordinators,multi-disciplinary clinics,specialist care,care plans

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