Resumo

READ, C et al. 'Listen to my heart': Qualitative researchers and people living with rheumatic heart disease collaborate to direct future RHD research. SAMJ, S. Afr. med. j. [online]. 2023, vol.113, n.3b, pp.1116-1120. ISSN 2078-5135.  http://dx.doi.org/10.7196/SAMJ.2023.v113i3b.16851.

BACKGROUND: Rheumatic heart disease (RHD) is a preventable chronic cardiac condition that causes over 350 000 deaths annually, largely in low and middle-income countries, as a direct result of structural inequalities and inadequate access to comprehensive healthcare. People living with and affected by this disease are a key stakeholder group and need to be directing research priorities OBJECTIVE: To improve care and provide direction for future research, a group of qualitative researchers and pe living with RHD from six countries convened in Cape Town in 2016 METHODS: People with RHD shared their lived experiences while RHD researchers, clinicians and advocates presented a spectrum of qualitative research methods to explore these experiences. The Continuum of Care© (CoC, developed by the Medtronic Foundation) was used as a framework to guide participant discussions. Thematic summaries of the discussions were undertaken in an iterative process throughout the workshop RESULTS: Three themes emerged in the summaries: there is no 'typical' patient journey; a biomedical focus on RHD does not reflect people's lived experiences; and a diversity of research methods is required to investigate experiences of people living with RHD PRACTICE IMPLICATIONS: Qualitative research methods are invaluable for allowing patient 'voices' to be heard. To this end, qualitative approaches should be incorporated in all RHD research to ensure maximum benefit for patients CONCLUSION: Greater understanding of the patient journey was gained for strengthening and expanding the global RHD research agenda. Future research should reflect on and incorporate the realities of patients' lived experiences, and these experiences should be integrated into healthcare models for chronic conditions

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