Research made simple: using multiperspective interpretative phenomenological analysis to explore healthcare phenomena

McInally, Wendy; Gray-Brunton, Carol

doi:10.1136/ebnurs-2021-103428

Cited by 8 publications

(4 citation statements)

References 6 publications

(6 reference statements)

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“…We conducted a post hoc thematic analysis of free-text comments from an online survey about COVID-19 vaccination informed by an interpretative phenomenological approach. Interpretative phenomenological analysis aims to elucidate participants' lived experience of a phenomenon, while considering the influence of the social and historical context on how individuals make sense of and respond to situations [14][15][16]. This approach is suitable for exploring how patients with chronic conditions engage in a health-related decision [17][18][19][20].…”

Section: Methodsmentioning

confidence: 99%

Rheumatic disease patient decision-making about COVID-19 vaccination: a qualitative analysis

et al. 2022

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Background Although patients with rheumatic and musculoskeletal diseases (RMDs) are at increased risk for adverse outcomes of COVID-19 illness compared to healthy controls, they also have lower rates of willingness to be vaccinated. Previous research has identified reasons for vaccine hesitancy among patients with RMDs (such as concerns about side effects and flares), but little is known about what these reasons mean in the context of patients’ lives, or how vaccine decision making is experienced from a patient perspective. Our objective was to describe decision-making about COVID-19 vaccination among RMD patients. Methods Participants in a RMD registry were invited to complete monthly online surveys regarding COVID-19 vaccination from March-June 2021. We qualitatively analyzed comments from two open-ended survey questions reporting general experiences with vaccination and side effects. Comments were coded for attitudes towards COVID-19 vaccination, vaccine access, rheumatologic medication management around vaccination, and vaccine side effects. Themes were identified for the process and context of COVID-19 vaccine decisions, patient motivations for receiving or avoiding vaccination, and consistency of peri-vaccine medication management with current ACR guidelines. Results We analyzed 710 comments from 537 respondents. Commenting respondents had a mean age of 64 years, were 87% female, 94% white, and 93% received/intended to receive ≥ 1 dose of a COVID-19 vaccine. Desire for protection and a return to normal routines motivated some commenters to get vaccinated, while concerns about vaccine side effects motivated others to delay or avoid vaccination. Several commenters reported disease flares following vaccination. Some commenters did not consult their providers about vaccination and failed to withhold immunomodulatory medications during vaccination, while others withheld medications more conservatively than recommended by current ACR guidelines, either on their own or directed by their provider. Conclusions While most commenters were vaccine-accepting, challenges to COVID-19 vaccine uptake in the RMD population may include fears of side effects, including worsened RMD symptoms, and perceptions that vaccination is unnecessary. Addressing these concerns and beliefs may be critical for promoting vaccination in this population.

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Section: Methodsmentioning

confidence: 99%

Rheumatic disease patient decision-making about COVID-19 vaccination: a qualitative analysis

et al. 2022

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“…IPA takes an inductive approach to understand the meaning and experience of people with 'lived experience' of the phenomenon under investigation (Smith et al, 2009). IPA is a flexible approach, suitable for nursing research, and can capture multiple perspectives on the same phenomenon (i.e., stroke survivors and their care partners) (McInally & Gray-Brunton, 2021). IPA is influenced by three important philosophical foundations: phenomenology, hermeneutics, and idiography (Smith et al, 2009).…”

Section: Discussionmentioning

confidence: 99%

Online Mindfulness with Care Partnerships Experiencing Anxiety and Depression Symptoms after Stroke: Mixed Methods Case Study Research

et al. 2022

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Purpose: To investigate the experience and outcomes for care partnerships (e.g., spouses, caregivers) who have post-stroke anxiety and/or depression symptoms and used an online mindfulness-based intervention (MBI) together. Design: Explanatory sequential mixed methods case study research. Methods: 5 care partnerships (10 participants) received online MBI, and data was collected in weeks 0, 4, and 8. Data collection involved the Hospital Anxiety Depression Scale, the Mutuality Scale, the Mindful Attention Awareness Scale, and post-intervention interviews. Clinical effectiveness was evaluated using minimal clinically important difference (MCID). Findings: Participants improved mindfulness (80%) and mutuality (30%). MCID was achieved for anxiety symptoms (50%) and depression symptoms (20%). IPA found evidence of conflicting and contradictory experiences so dialectical tension was used to articulate the continuum of perspectives and themes produced in the analysis. Conclusion: Care partnerships using online MBIs can experience improvements in mindfulness, mutuality, anxiety symptoms, and depression symptoms. The findings are complex but show the potential value of online MBI for some care partnerships living with stroke.

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“…The role of digital innovation in improving healthcare quality in extreme adversity: an interpretative phenomenological... during the pandemic to facilitate cross-border harmonisation of immunisation data. 32 Finally, appropriate identification of the population need was seen as crucial to inform the development of the digital health solution for the end user. The importance of engagement with the stakeholders was cited by interviewees and upheld by previous research, in addition to being one of the foundational principles for digital development, supported widely by the digital health community.…”

Section: Journal Of Global Health Reportsmentioning

confidence: 99%

The role of digital innovation in improving healthcare quality in extreme adversity: an interpretative phenomenological analysis study

Lounsbury

Roberts

Kurek

et al. 2022

Journal of Global Health Reports

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Background High quality is a necessary feature of healthcare delivery. Healthcare quality challenges are particularly present in conditions of extreme adversity, such as conflict settings or sustained humanitarian crises. Digital health technologies have recently emerged as an innovation to deliver care around the world in a variety of settings. However, there is little insight into how digital health technologies can be used to improve the quality of care where extreme adversity introduces unique challenges. This study aimed to identify how digital health technologies may be most impactful in improving the quality of care and evaluate opportunities for accelerated and meaningful digital innovation in adverse settings. Methods A phenomenological approach (Interpretative Phenomenological Approach [IPA]), using semi-structured interviews, was adopted. Six individuals were interviewed in person based on their expertise in global health, international care delivery, and the application of digital health technologies to improve the quality of care in extreme adversity settings. The interviews were informed by a semi-structured topic guide with open-ended questions. The transcripts were compiled verbatim and were systematically examined by two authors, using the framework analysis method to extract themes and subthemes. Results The participants identified several areas in which digital health technologies could be most impactful, which include engagement in care, continuity of care, workforce operations, and data collection. Opportunities for accelerated digital innovation include improving terminology, identity, ownership, and interoperability, identifying priority areas for digital innovation, developing tailored solutions, coordination and standardisation, and sustainability and resilience. Conclusions These results suggest that there are conditions that favour or challenge the application of digital health technologies, even in specific areas in which they could be useful. A better understanding of the drivers and barriers to digitally driven quality improvement in settings of extreme adversity could inform international policies and optimisation strategies for the future.

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Research made simple: using multiperspective interpretative phenomenological analysis to explore healthcare phenomena

Cited by 8 publications

References 6 publications

Rheumatic disease patient decision-making about COVID-19 vaccination: a qualitative analysis

Rheumatic disease patient decision-making about COVID-19 vaccination: a qualitative analysis

Online Mindfulness with Care Partnerships Experiencing Anxiety and Depression Symptoms after Stroke: Mixed Methods Case Study Research

The role of digital innovation in improving healthcare quality in extreme adversity: an interpretative phenomenological analysis study

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