Rapid Ethnographies

Vindrola‐Padros, Cecilia

doi:10.1017/9781108623568

Cited by 38 publications

(48 citation statements)

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“…An interesting experience worth mentioning in relation to Study 1 was a series of conversations that emerged when describing our study to other health services researchers and clinical colleagues and their automatic assumption that because the study was rapid, we would not be going through required ethical approval processes. This automatic association might be linked to the labeling of rapid research as a “quick and dirty” exercise (Vindrola-Padros, 2020b; Vindrola-Padros & Vindrola-Padros, 2018), or the belief that research that follows required processes will not be set up and implemented in time. We feel it is important to mention these conversations and situate them against the detailed ethical review processes described below to encourage research teams across the world to think differently about rapid qualitative research.…”

Section: Resultsmentioning

confidence: 99%

“…We have also argued in favor of the need to define and describe methodologies rigorously, as well as outline how findings are used (Johnson & Vindrola-Padros, 2017). We have also proposed the development of reporting and assessment standards that can take into account the unique characteristics and challenges of these types of approaches (Vindrola-Padros, 2020b). These standards could be helpful for teams attempting to carry out rapid research under the pressure of a pandemic like COVID-19 or for those who find themselves experimenting with rapid techniques with no prior experience in this field.…”

Section: Discussionmentioning

confidence: 99%

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Carrying Out Rapid Qualitative Research During a Pandemic: Emerging Lessons From COVID-19

et al. 2020

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Social scientists have a robust history of contributing to better understandings of and responses to disease outbreaks. The implementation of qualitative research in the context of infectious epidemics, however, continues to lag behind in the delivery, credibility, and timeliness of findings when compared with other research designs. The purpose of this article is to reflect on our experience of carrying out three research studies (a rapid appraisal, a qualitative study based on interviews, and a mixed-methods survey) aimed at exploring health care delivery in the context of COVID-19. We highlight the importance of qualitative data to inform evidence-based public health responses and provide a way forward to global research teams who wish to implement similar rapid qualitative studies. We reflect on the challenges of setting up research teams, obtaining ethical approval, collecting and analyzing data in real-time and sharing actionable findings.

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Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Carrying Out Rapid Qualitative Research During a Pandemic: Emerging Lessons From COVID-19

et al. 2020

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“…Data collection followed a rapid qualitative research design involving teams of field researchers, participatory approaches, and iterative data collection and analysis 12 13 . Most of the interviews were carried out by pairs of researchers with different disciplinary backgrounds (i.e.…”

Section: Methodsmentioning

confidence: 99%

“…Qualitative fieldwork was based on telephone and online semi-structured interviews with a purposive sample of staff from eight pilot sites implemented during wave 1 of the pandemic and documentary analysis of internal documents developed by these sites. Data collection followed a rapid qualitative research design involving teams of field researchers, participatory approaches, and iterative data collection and analysis 12 13 . Most of the interviews were carried out by pairs of researchers with different disciplinary backgrounds (i.e.…”

Section: Designmentioning

confidence: 99%

The implementation of remote home monitoring models during the COVID-19 pandemic in England

Vindrola‐Padros

Sidhu

Georghiou

et al. 2020

Preprint

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ObjectiveThere 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 (March to August 2020). 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.ResultsThe 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 £400 to £553, depending on the model.ConclusionsIt 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).STRENGTHS AND LIMITATIONS OF THE STUDYThe study makes a contribution to existing evidence on remote home monitoring models by exploring the design and implementation of these models for confirmed or suspected COVID-19 cases.The study was carried out across eight remote home monitoring models implemented in England, capturing variability in the mechanisms used for triage, monitoring and escalation.Limited evidence was available to assess the effectiveness of the remote home monitoring models.No comparator data were available for the absence of remote home monitoring.The study was designed as a rapid evaluation and only captured experiences and processes of implementation in a convenience sample of eight models implemented during the first wave of the pandemic in England.

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“…Common difficulties include producing a shared understanding among researchers from different backgrounds, creating a collaborative working environment, and maintaining communication across the stages of the research process ( Barry et al, 1999 ; Bikker et al, 2017 ). These challenges are particularly salient in studies that utilize a team-based rapid qualitative approach, as the need to produce and share findings in a timely and actionable manner can generate additional internal and external pressures ( Johnson & Vindrola-Padros, 2017 ; Vindrola-Padros, 2020 ; Vindrola-Padros & Vindrola-Padros, 2018 ).…”

Section: Introductionmentioning

confidence: 99%

Examining What We Know in Relation to How We Know It: A Team-Based Reflexivity Model for Rapid Qualitative Health Research

2021

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Reflexivity constitutes a core component of qualitative research and has been actively integrated into long-term and “lone ranger” approaches to qualitative research. However, its application to team-based approaches and particularly to rapid qualitative team-based approaches continues to lag behind. In this article, we introduce a reflexivity model we developed for teams undertaking rapid qualitative studies. Utilizing our most recent application of this model to a rapid qualitative appraisal of health care workers’ experiences delivering care during the COVID-19 pandemic as a case study, we identify the steps to put this model into practice and its main outcomes. Our application of the model revealed that the team’s practices could be grouped along four dimensions: design assumptions, data collection and analysis processes, multidisciplinary collaboration, and responsible dissemination. Reflexivity can improve the relations within the team and the quality of the research output, if it is implemented as a continuous and iterative process.

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Rapid Ethnographies

Cited by 38 publications

References 0 publications

Carrying Out Rapid Qualitative Research During a Pandemic: Emerging Lessons From COVID-19

Carrying Out Rapid Qualitative Research During a Pandemic: Emerging Lessons From COVID-19

The implementation of remote home monitoring models during the COVID-19 pandemic in England

Examining What We Know in Relation to How We Know It: A Team-Based Reflexivity Model for Rapid Qualitative Health Research

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