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Despite growing interest in the quality of life of individuals with single-ventricle CHD, the experiences of their siblings remain largely underexamined and heavily reliant on parent-reported outcomes. This study explores the experiences of siblings of individuals with single-ventricle CHD through a qualitative analysis of self-reported narratives.
Methods:
Siblings of individuals with single-ventricle CHD aged 9 years and older participated in age-based Experience Group sessions. Trained facilitators used semi-structured, open-ended questions to prompt discussion. Qualitative data were coded using inductive thematic analysis to identify salient themes across narratives.
Results:
Eighteen siblings participated. Participants (50%, n = 9 female) ranged in age from 9 to 59 years (median age 22 years); most (72%, n = 13) were older than their sibling with single-ventricle CHD. Five themes emerged: 1) adapting to their sibling’s physical limitations, 2) assuming supportive roles in the family, 3) navigating complex and often conflicting emotions, 4) deepening their understanding of the condition over time, and 5) finding normalcy throughout their childhood.
Conclusions:
This study provides valuable insights into the nuanced experiences of siblings of individuals with single-ventricle CHD, underscoring the key roles they play in the care journey and describing the unique experiences that have shaped them. These findings can inform tailored, family-centred care models that intentionally include siblings in psychosocial assessment, support interventions, and age-appropriate medically related education and communication.
Can interviews or a focus group improve the causal inferences drawn from experiments? Can quantitative text analysis help develop workflows as a qualitative scholar? Can we learn from a single case in a way that helps us with a statistical model? There is much to learn from the careful use of all these methodological combinations. The Practice of Multi-Method Research is aimed at practical researchers: from undergraduates preparing for an honors thesis, to graduate students designing a dissertation, through to seasoned scholars considering a new approach for their next set of studies. It offers a hands-on, practical guide to combining research across various methodological traditions: qualitative, machine learning, and quantitative approaches to concepts and measurement, adding quantitative and data-science components to process-tracing designs and to qualitative case studies in general, how qualitative research can strengthen regression-type designs, and how to mix qualitative elements with experiments..
Health Technology Assessment (HTA) agencies often lay out the methods and processes for recommendations through guidelines. However, evidence suggests that the presence of guidelines does not necessarily lead to more systematic, evidence-based decisions. This article explores the differentiating features of HTA guidelines that have successfully promoted change in decision-making practice.
Methods
We compared the development and impact of HTA guidelines over time in eight countries through a multi-case study design. Data from interviews and literature review were analyzed qualitatively by pattern matching.
Results
In settings without a guideline owner, guidelines were most successful if the development process targeted key stakeholders who are able to influence change in an open process of joint learning, and an agency with relevant expertise was assigned to oversee future guideline implementation and revisions. In settings with a clear guideline owner, guidelines were most successful if stakeholders continued to be engaged after guideline publication, to incorporate interim updates and when there was continuous learning between stakeholders and the HTA agency. Enforcing guideline compliance through laws was not found to be a predictor of guideline success nor was the level of HTA institutionalization in a country.
Conclusions
At any stage of HTA institutionalization, HTA guideline success depends on whether the development and revision process successfully builds shared understanding and trust among stakeholders. Ensuring HTA guideline impact requires an open and inclusive approach to stakeholder engagement during and after guideline development, as well as effective accountability mechanisms for guideline ownership.
To describe and understand areas of concordance and discordance between the perceptions and experiences of family physicians and policymakers regarding the implementation and use of virtual care within the Nova Scotian primary care system.
Background:
COVID-19 brought rapid change to primary care delivery and accessibility. Virtual care rapidly expanded, facilitating primary care access amidst public health restrictions. Health systems leaders facilitated access to virtual care, developed and implemented guidelines, and created new billing codes. Providers integrated virtual care and operation changes into practice.
Methods:
Semi-structured interviews with family physicians (n = 20), policymakers (n = 9) and a family physician/policymaker (n = 1) were conducted to understand virtual care implementation and outcomes in Nova Scotia, Canada, identifying benefits and challenges.
Findings:
All participants discussed patient confidentiality concerns, overreliance potential, and virtual care to promote patient care access. Family physicians discussed provider privacy and burnout. Policymakers discussed virtual care increasing capacity for accepting new patients and challenges evaluating virtual care billing codes. Providers and policymakers shared concerns and policy directions for development and expansion of virtual care. As there is little research from policymaker perspectives on virtual care, reconciling these viewpoints is crucial for effectiveness and sustainability.
Low-intensity cognitive behavioural therapy (LICBT) services are a key component of mental health provision for children and young people (CYP) in England. Given the elevated prevalence of mental health difficulties among autistic populations, these services are likely to receive referrals for autistic CYP. However, evidence regarding the suitability of LICBT protocols for this group is limited, and little is known about practitioners’ experiences supporting autistic youth. This qualitative study explored LICBT practitioner perspectives on working with autistic CYP, including what helps prepare or support them in this work. Semi-structured interviews were conducted with Children’s Wellbeing Practitioners and Education Mental Health Practitioners (n = 13) working in LICBT services across England. Data were analysed using reflexive thematic analysis. Two over-arching themes were generated: (1) Delivering LICBT on Unstable Foundations, and (2) Navigating Organisational Challenges. Practitioners described feeling under-prepared by core training and uncertain about the suitability of LICBT interventions for autistic CYP. Successful intervention was perceived to depend on autism-specific adjustments and wider systemic support that were not always available. Organisational pressures, unclear role boundaries, and limited alternative service provision contributed to ethical discomfort and emotional strain. Many practitioners reported independently seeking additional training and informally extending their roles to bridge gaps in care. Findings suggest a misalignment between the LICBT service model and the realities of supporting autistic CYP in practice. Addressing this requires strengthening the evidence for LICBT with autistic populations, closer integration between LICBT and autism-specific services, and flexibility within practitioner workplans to support equitable and appropriate care.
Key learning aims
(1) To explore Children’s Wellbeing Practitioners’ and Education Mental Health Practitioners’ perspectives and experiences of supporting autistic children and adolescents within low-intensity cognitive behavioural therapy (LICBT) services.
(2) To examine what works well and the challenges encountered in practice by these practitioners when supporting autistic children and adolescents.
(3) To identify what may be needed to sustainably meet the needs of autistic children and adolescents referred to LICBT services, including factors that may support the accessibility and effectiveness of LICBT for this client group.
This study aims to evaluate the facilitators and barriers to the implementation, adoption, and participation of these programs.
Background:
The Prediabetes Intervention, Management, and Evaluation (PRIME) program is an initiative that integrates digital health tools with community pharmacy services to encourage lifestyle behaviour changes among participants with prediabetes. While PRIME demonstrates effectiveness in clinical outcomes, the integration of such programs into community pharmacy services remains limited.
Methods:
In-depth focus group discussions and one-on-one interviews were conducted with participants and pharmacists who were involved in PRIME. The semi-structured interviews focused on the experiences and perceptions of the implementation of PRIME and its influence on behaviour change. All audio-recorded interviews were transcribed, coded, and analysed using thematic analysis techniques, leading to the development of major themes.
Findings:
Seven focus groups and twenty interviews were conducted among 37 participants and 10 pharmacists. Five themes were developed: 1) Intrinsic motivations towards better health; 2) Influence of rapport building; 3) Improved convenience to healthcare access; 4) Resource and support; and 5) Innovation with digital health. Key barriers were related to the use of digital health tools (technical difficulties, lacking engaging functionalities) and resources (workload management, availability of prediabetes-specific guidelines). The participants perceived the blended approach of in-person support with technology-assisted interventions in PRIME as an effective way to build healthier lifestyles. While community pharmacy-based prediabetes management programs like PRIME can be effective in driving healthier lifestyles, several barriers hinder their broader adoption. Addressing these barriers could enhance the implementation and uptake of these programs.
Individuals living with advanced pancreatic cancer (APC) face a poor prognosis and high symptom burden. Although exercise training is an evidence-based approach in improving physical and psychological health outcomes in those living with and beyond a cancer diagnosis, there is limited research exploring its role and integration within advanced pancreatic care. The aim of this study was to explore the exercise experiences and perspectives of individuals living with APC in Canada.
Methods
Using a qualitative interpretive description methodology, we conducted semi-structured interviews with 6 individuals diagnosed with advanced (stage III or IV) exocrine pancreatic cancer from across Canada. Interviews were transcribed verbatim, and transcripts were analyzed using reflexive thematic analysis. Inductive and deductive analysis was conducted using the Behaviour Change Wheel and Theoretical Domains Framework as guiding lenses.
Results
Three themes were identified impacting how individuals living with APC perceive and experience exercise: (1) Taking control of my journey; (2) Building the motivation; and (3) If it was a program for me.
Significance of results
This study highlights aspects of the perception of exercise in pancreatic cancer care among individuals living with advanced disease in Canada. Integration of progressive programming, realistic goal setting, and fostering of a supportive environment were identified as important considerations for the care context.
Qualitative and quantitative methods can help make sense of the range of meanings connected with concepts, mapping usage and clarifying alternatives so people can position their intended meanings with respect to the space of existing alternatives. Likewise, qualitative and quantitative methods can help clarify where measurement problems come from, and can be used together to turn abstract ideas about measurement error into far research conversations about how social dynamics work to produce social science measures in the first place. Qualitative and quantitative approaches to conceptualization and measurement involves familiar tensions between deep attention to texts versus breadth and representation across a broader collection; between human comprehensibility and optimal work with complex, multidimensional mathematical and linguistic representations; and between familiarity and precision. Good research designs, like those discussed in this chapter, mitigate these tensions and emphasize the strengths of both methods.
How can regression-type studies, which try to get causal inferences by controlling for variables until whatever is left is plausibly a causal relationship, benefit as much as possible from qualitative research? This chapter offers three qualitative research designs that can help test and improve quantitative causal inferences based on control variables. First, we consider process-tracing designs that seek to discover previously unknown confounding variables that can be added as new control variables, thereby refining and improving the statistical model. Second, we discuss process tracing that seeks to confirm that control variables have a direct connection to the outcome variable, and therefore are relevant controls. Third, we discuss process tracing to check whether control variables might be posttreatment and therefore at least partially harmful. Finally, we provide a demonstration of the kind of iterated interaction that we have in mind between statistical efforts at causal inference and qualitative research to learn more about the assumptions behind the model, involving the relationship between labor union strength and the prevalence of employment law across U.S. states.
How can mixed-method research add value to experiments? There is much to learn by adding qualitative components to experiments that can test for problems related to measurement; networks and spillover among experimental subjects; issues related to the meaning of treatments, outcomes, and other aspects of the experiment for participants; the exhaustiveness of the intended causal content of the treatment; and moderation effects related to subgroups of participants, or to differences across implementations of an experiment in divergent contexts. Some of these areas relate to the goal of theoretical generalization from the initial experiment, but most of them also have connections with the meaning and quality of the causal inference for the experiment at hand.
Process tracing methods, which involve ways of using information within a single case to think carefully about questions of social-science theory, have become one of the leading qualitative methods in political science and related fields. Can mixed-method approach to process tracing work without destroying the qualitative logic of the method? This chapter argues that two distinct forms of process tracing, involving testing of existing causal theories and discovery of new theories, each have room for mixed-method strategies. We show that qualitative components can become steps within a testing-based process tracing argument, and offer guidelines for structuring such studies. We then offer a novel approach to combining machine-learning techniques like LASSO regression with discovery-based process tracing, illustrating the design with an application to the rise in visibility of U.S. far right broadcaster Alex Jones.
How can quantitative methods support case studies in general? One common task in case-study research is presenting audiences with a large collection of texts. Text-as-data methods may facilitate this task by summarizing the overall collection more quickly and understandably than we can usually do ourselves, and by locating individual documents within the collection. We offer an application, showing how text-as-data methods effectively summarize the large collection of legal documents available regarding defendants in cases related to the January 6th invasion and facilitate case-study exploration and understanding of specific individuals. We also discuss how mixed-method approaches may save time and resources as a way of moving across levels of analysis within a case-study design. We wind up the chapter by raising a note of caution regarding common attempts to use statistics as a test of generalizability for case studies and regarding the somewhat less common but still recurrent designs that mix game theory and qualitative research. Both of these approaches can work, and can offer insights, but both are harder than they may initially appear.
Research designs can combine qualitative, quantitative, experimental, and data-science methods through careful planning, attention to details and assumptions, and methodological execution. This chapter introduces the book's perspective, arguing that designs that combine methods carefully and with close attention to their details will outperform designs where two or more methods are carried out in parallel and then compared. The chapter also considers a range of practical and philosophical questions related to whether it makes sense to combine methods. Is one method always best, such that it isn't worth trying? Do methods speak fundamentally different languages, such that there is no point? Are methods and problems inextricably linked, such that the question is irrelevant? We argue against each of these views.
Chapter 5 examines Swift’s major foreign policy writings, particularly the Conduct of the Allies and the History of the Four Last Years of the Queen. It differentiates his neoclassical balance-of-power theory – which pointed toward the need to negotiate peace – from modern, nonnormative, militaristic, and pseudoscientific versions of the theory, which his contemporaries used to justify continuing the war. Swift condemned militarism even when exhibited by his own country. He opposed the attempted subjugation and domination of an enemy country as unwise policy that would lead to international power imbalances and unintended consequences, and thus threaten both domestic constitutionalism and international security. He adopted a mixed qualitative-quantitative method of argument and revealed the conceptual flaws of the quantitative or military-statistical approach adopted by the pro-war Whigs. While his arguments facilitated the Peace of Utrecht (1713), French delays in implementing the peace terms left Swift with little more than satire in his last Tory pamphlets.
To explore consumers’ understanding of whole-grain foods and their processing and food industry personnel’s perceptions of whole-grain foods in processing classification systems.
Design:
Semi-structured focus groups and interviews.
Setting:
Online.
Participants:
Consumers (n 28) ≥ 18 years frequently purchasing/consuming grain foods. Food industry personnel (n 16) currently/recently employed within the grain industry.
Results:
Consumers generally used whole-refined grain comparisons to gauge the level of processing, perceiving whole grains as less processed. While some suggested processing elements, such as additives, may influence their food choices, healthfulness was typically judged based on the presence or absence of certain nutrients. Often, other drivers of behaviour took precedence (e.g. cost, familial preferences and culinary skills). Food industry personnel viewed food processing as complex but oversimplified in current food processing classification systems. They considered that while some processed foods can be unhealthful, this does not apply to all processed foods. They emphasised the importance of holistic consumer education including that processing needs to be considered together with the food’s nutritional composition to help consumers differentiate between less healthy and ‘healthier’ processed foods (e.g. a highly processed refined grain food with added fats and sugars, and a fortified whole-grain product).
Conclusions:
Messaging around food processing should be considered alongside those on nutritional quality of foods to ensure consumers are informed in their understanding of a food’s healthfulness. Policy measures addressing food processing should reflect its complexities, including the different types and functions of processing and their rationale, particularly in the context of whole grains.
Price promotions are widely used in supermarkets and are more commonly applied to less healthy foods and beverages. We aimed to examine how supermarket price promotions influence food and beverage purchasing among households with school-aged children in Australia, and how perceptions vary by income.
Design:
A cross-sectional qualitative study using semi-structured interviews, analysed using thematic analysis.
Setting:
Australia, within the supermarket retail food environment.
Participants:
Twenty-two parents or caregivers of school-aged children from households with differing income levels.
Results:
Participants across income groups reported using supermarket price promotions as a budgeting strategy, particularly in the context of rising food costs. Price promotions were described as encouraging unplanned purchases, most often for unhealthy foods and beverages. Compared with higher-income households, lower-income households reported greater awareness of supermarket pricing strategies and more frequent purchasing of price-promoted products. Participants perceived that healthy options were less frequently discounted and suggested that increasing promotions for healthy foods and beverages would better support healthy diets.
Conclusions:
Supermarket price promotions were perceived to shape purchasing decisions, often encouraging purchases of less healthy foods and beverages. Regulatory approaches that reduce promotions on less healthy products while improving the affordability of healthier options may support healthier and more equitable food environments, particularly for households experiencing financial constraints.
This study aimed to identify barriers and facilitators to reducing free sugar intakes while participants were in the process of attempting to do this. Sixty-two adults with free sugar intakes >5% total energy intake; participants in a randomised controlled trial examining the effects of three different dietary recommendations versus control for reducing free sugar intakes were interviewed at either 1, 2, 4, 8, or 12 weeks after receiving their recommendation. Data were analysed using thematic analysis and framework analysis based on recommendation received, time for change, and success in reducing free sugar intakes at 12 weeks. Thematic analysis revealed seven interactive themes leading to dietary change: ‘Is it possible?’; ‘Power of knowledge’; ‘Personal balance and empowerment’; ‘Habitual approach’; ‘Realities of life’; ‘Extensive awareness and viewpoint’; and ‘Proof and impact’. Framework analysis revealed greater knowledge, including knowledge related to practical solutions, in intervention groups compared to control; greater intentions and expectations at the start of the process, followed by increasing or decreasing engagement and satisfaction over time, with noticeable physical and subjective proof occurring from 4 weeks; and active engagement, with growing confidence and motivation in those who ended the trial having reduced their free sugar intakes compared to more passive attitudes in those less successful. Our findings demonstrate clear variation in barriers and facilitators to reducing free sugar intakes throughout the process, dependent also on recommendation received and individual orientation. Suggestions for improving free sugar intake reduction can be offered based on these differences.
Improvisation is widely recognised as a musical creative activity, yet it remains infrequently used in classroom practice. This qualitative study examines how eight Dutch primary music teachers understand, implement, and evaluate improvisation. Drawing on semi-structured interviews, classroom observations, and field notes, two themes emerged: implementation, including commonly used improvisation activities, perceived effectiveness of improvisation activities, and feedback, and evaluation, including perceived benefits, challenges, and reflections for improvement. Findings show teachers value improvisation for fostering creativity and confidence but face considerable challenges, including managing classroom dynamics and limited pedagogical training, suggesting that teachers’ engagement with improvisation is shaped by both pedagogical beliefs and contextual constraints.
Artificial intelligence (AI) has the potential to help solve global problems and be employed “for good.” One area of immense recent investment and interest is the financial technology (“fintech”) sector. Boasting its ability to provide financial services for the underbanked, various startups are developing apps that collect mobile phone data and use machine learning (ML) to provide credit scores – and subsequently, opportunities to access loans – to groups often left out of traditional banking. Based on 25 semi-structured interviews with corporate leaders, data scientists and investors at fintech companies developing and managing ML-based alternative lending apps in low- and middle-income countries, this study delves into the different ways fintechs conceptualize and define fairness, including from both a process (“fair” algorithmic design) and outcome (“fair” credit assessment) perspective. By engaging insights from industry actors, this research reveals the cultural logics, power dynamics and institutional incentives that underpin fairness narratives, including how these dynamics shape gendered outcomes in access to credit. Rather than challenging systemic exclusion, fintechs prioritize scalability and profit over equity, developing and deploying “gender blind” algorithms that perpetuate and legitimize financial disparities under the guise of neutrality and objectivity. Ultimately, fairness in ML-driven lending is shaped by institutional priorities and economic logics, where fairness narratives inadvertently obscure systemic injustices even as ethical innovation is claimed. This paper contributes to the growing field of empirical AI ethics by examining how fairness is defined, contested and operationalized in fintech-driven algorithmic lending and the ensuing implications, before offering a feminist alternative to fairness in ML that centers community voices and sets equity as a normative horizon.