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      Systems approach to improving traumatic brain injury care in Myanmar: a mixed-methods study from lived experience to discrete event simulation

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          Abstract

          Objectives

          Traumatic brain injury (TBI) is a global health problem, whose management in low-resource settings is hampered by fragile health systems and lack of access to specialist services. Improvement is complex, given the interaction of multiple people, processes and institutions. We aimed to develop a mixed-method approach to understand the TBI pathway based on the lived experience of local people, supported by quantitative methodologies and to determine potential improvement targets.

          Design

          We describe a systems approach based on narrative exploration, participatory diagramming, data collection and discrete event simulation (DES), conducted by an international research collaborative.

          Setting

          The study is set in the tertiary neurotrauma centre in Yangon General Hospital, Myanmar, in 2019–2020 (prior to the SARS-CoV2 pandemic).

          Participants

          The qualitative work involved 40 workshop participants and 64 interviewees to explore the views of a wide range of stakeholders including staff, patients and relatives. The 1-month retrospective admission snapshot covered 85 surgical neurotrauma admissions.

          Results

          The TBI pathway was outlined, with system boundaries defined around the management of TBI once admitted to the neurosurgical unit. Retrospective data showed 18% mortality, 71% discharge to home and an 11% referral rate. DES was used to investigate the system, showing its vulnerability to small surges in patient numbers, with critical points being CT scanning and observation ward beds. This explorative model indicated that a modest expansion of observation ward beds to 30 would remove the flow-limitations and indicated possible consequences of changes.

          Conclusions

          A systems approach to improving TBI care in resource-poor settings may be supported by simulation and informed by qualitative work to ground it in the direct experience of those involved. Narrative interviews, participatory diagramming and DES represent one possible suite of methods deliverable within an international partnership. Findings can support targeted improvement investments despite coexisting resource limitations while indicating concomitant risks.

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          Most cited references22

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          Global Surgery 2030: evidence and solutions for achieving health, welfare, and economic development.

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            Traumatic brain injury: integrated approaches to improve prevention, clinical care, and research

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              The quality of mixed methods studies in health services research.

              To assess the quality of mixed methods studies in health services research (HSR). We identified 118 mixed methods studies funded by the Department of Health in England between 1994 and 2004, and obtained proposals and/or final reports for 75. We applied a set of quality questions to both the proposal and report of each study, addressing the success of the study, the mixed methods design, the individual qualitative and quantitative components, the integration between methods and the inferences drawn from completed studies. Most studies were completed successfully. Researchers mainly ignored the mixed methods design and described only the separate components of a study. There was a lack of justification for, and transparency of, the mixed methods design in both proposals and reports, and this had implications for making judgements about the quality of individual components in the context of the design used. There was also a lack of transparency of the individual methods in terms of clear exposition of data collection and analysis, and this was more a problem for the qualitative than the quantitative component: 42% (19/45) versus 18% (8/45) of proposals (p = 0.011). Judgements about integration could rarely be made due to the absence of an attempt at integration of data and findings from different components within a study. The HSR community could improve mixed methods studies by giving more consideration to describing and justifying the design, being transparent about the qualitative component, and attempting to integrate data and findings from the individual components.
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                Author and article information

                Journal
                BMJ Open
                BMJ Open
                bmjopen
                bmjopen
                BMJ Open
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                2044-6055
                2022
                6 May 2022
                : 12
                : 5
                : e059935
                Affiliations
                [1 ]departmentDivision of Anaesthesia, Department of Medicine , University of Cambridge , Cambridge, UK
                [2 ]departmentNIHR Global Health Research Group for Neurotrauma , University of Cambridge , Cambridge, UK
                [3 ]departmentDepartment of Clinical Neurosciences , University of Cambridge , Cambridge, UK
                [4 ]departmentDepartment of Neurosurgery , University of Medicine I , Yangon, Yangon Region, Myanmar
                [5 ]departmentEngineering Design Centre, Department of Engineering , University of Cambridge School of Technology , Cambridge, UK
                [6 ]departmentTHIS Institute , University of Cambridge , Cambridge, UK
                [7 ]departmentNeurocritical Care Unit , Cambridge University Hospitals NHS Foundation Trust , Cambridge, UK
                [8 ]departmentDepartment of Intensive Care , University of Medicine I , Yangon, Yangon Region, Myanmar
                [9 ]departmentMyanmar Country Director , THET , London, UK
                [10 ]departmentDepartment of Anaesthesia , Cambridge University Hospitals NHS Foundation Trust , Cambridge, UK
                [11 ]departmentRector , University of Medicine I , Yangon, Yangon Region, Myanmar
                [12 ]departmentDepartment of Enginering , University of Cambridge School of Technology , Cambridge, UK
                Author notes
                [Correspondence to ] Dr Katharina Kohler; kk371@ 123456cam.ac.uk

                KK and PPNM are joint first authors.

                Author information
                http://orcid.org/0000-0003-1919-0193
                http://orcid.org/0000-0002-3228-9692
                http://orcid.org/0000-0002-2796-1835
                http://orcid.org/0000-0003-0228-9779
                Article
                bmjopen-2021-059935
                10.1136/bmjopen-2021-059935
                9086681
                35534061
                c5824b18-3f6e-4f18-a6b9-35fee9cea96b
                © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

                This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See:  http://creativecommons.org/licenses/by-nc/4.0/.

                History
                : 09 December 2021
                : 20 April 2022
                Categories
                Global Health
                1506
                1699
                Original research
                Custom metadata
                unlocked

                Medicine
                health services administration & management,organisation of health services,neurosurgery,statistics & research methods,trauma management

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