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The implementation of remote home monitoring models during the COVID-19 pandemic in England
Cecilia Vindrola-Padros; Manbinder Sidhu; Theo Georghiou; Chris Sherlaw-Johnson; Kelly Singh; Sonila Tomini; Jo Ellins; Stephen Morris; Naomi J Fulop.
Afiliação
  • Cecilia Vindrola-Padros; University College London
  • Manbinder Sidhu; University of Birmingham
  • Theo Georghiou; Nuffield Trust
  • Chris Sherlaw-Johnson; Nuffield Trust
  • Kelly Singh; University of Birmingham
  • Sonila Tomini; University College London
  • Jo Ellins; University of Birmingham
  • Stephen Morris; University of Cambridge
  • Naomi J Fulop; University College London
Preprint em Inglês | medRxiv | ID: ppmedrxiv-20230318
Artigo de periódico
Um artigo publicado em periódico científico está disponível e provavelmente é baseado neste preprint, por meio do reconhecimento de similaridade realizado por uma máquina. A confirmação humana ainda está pendente.
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ABSTRACT
BackgroundThere is a paucity of evidence for the implementation of remote home monitoring for COVID-19 infection. The aims of this study were to identify the key characteristics of remote home monitoring models for COVID-19 infection, explore the experiences of staff implementing these models, understand the use of data for monitoring progress against outcomes, and document variability in staffing and resource allocation. MethodsThis was a multi-site mixed methods study that combined qualitative and quantitative approaches to analyse the implementation and impact of remote home monitoring models during the first wave of the COVID-19 pandemic (July to September 2020) in England. The study combined interviews (n=22) with staff delivering these models across eight sites in England with the collection and analysis of data on staffing models and resource allocation. FindingsThe models varied in relation to the healthcare settings and mechanisms used for patient triage, monitoring and escalation. Implementation was embedded in existing staff workloads and budgets. Good communication within clinical teams, culturally-appropriate information for patients/carers and the combination of multiple approaches for patient monitoring (app and paper-based) were considered facilitators in implementation. The mean cost per monitored patient varied from {pound}400 to {pound}553, depending on the model. InterpretationIt is necessary to provide the means for evaluating the effectiveness of these models, for example, by establishing comparator data. Future research should also focus on the sustainability of the models and patient experience (considering the extent to which some of the models exacerbate existing inequalities in access to care). FundingThe study was funded by the National Institute for Health Research-NIHR (Health Services and Delivery Research, 16/138/17 - Rapid Service Evaluation Research Team; or The Birmingham, RAND and Cambridge Evaluation (BRACE) Centre Team (HSDR16/138/31).
Licença
cc_by_nc
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Experimental_studies / Estudo prognóstico / Pesquisa qualitativa Idioma: Inglês Ano de publicação: 2020 Tipo de documento: Preprint
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Experimental_studies / Estudo prognóstico / Pesquisa qualitativa Idioma: Inglês Ano de publicação: 2020 Tipo de documento: Preprint
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