Abstract
Realist evaluation submits that theories and models of how, why, for whom and under what circumstances programs work could be formulated by conceptualizing the relational links between the context within which programs are implemented, the generative mechanisms the programs trigger, and the outcomes of interest. Qualitative and quantitative data collection and analysis allow for the description of the relevant context, the generative mechanisms, and the emergent outcomes of programs and provide explanatory power to link these elements. The ‘realist interviewing technique’, whereby interviewees comment on a suggested ‘program theory’ to provide refinement, is proposed as a distinctive approach for conducting interviews in a realist-informed inquiry. However, the application of this interviewing strategy within the realist evaluation studies is underutilized. In this study, we demonstrate how the realist interview technique reinforces and maintains theoretical awareness and contributes to trustworthiness through three theory-building phases: theory gleaning, theory refining, and theory consolidation.
Introduction
Realist evaluation is a theory-driven approach to evaluation (Westhorp, 2014; Wong et al., 2016) drawn from the seminal work of Pawson and Tilley (1997). The use of realist evaluation to evaluate the implementation of policies, programs, and interventions in health services and other fields of research and evaluation has increased in the last two decades (Wong et al., 2016). This enhanced interest can be explained by the potential of realist evaluation to enable the evaluation of human service programs through a ‘clear box’ type of evaluation that investigates the effectiveness of the programs within an open system (Kazi, 2003).
According to Kazi and Spurling (2000: 4), ‘realist evaluation research is about improving the construction of [theories or] models, and therefore about improving the content of the practice itself’. Therefore, realist evaluation is fundamentally theory-driven. Therefore, maintaining a theoretical awareness—the systematic reflection on theory development and testing—during the entire realist inquiry is important. This aligns with Pawson and Sridharan’s (2009) assertion that ‘programs are theory incarnate’. According to Sharpe (2011), the evaluation of a program’s theory is an evaluation of the program rather than the evaluation of the program theory. Nevertheless, while refining the program theory involves evaluating the program, it is also true that evaluating the program involves both the theory and its implementation in that particular case.
The use of qualitative interviewing for theory-building (including proposing and testing hypotheses) has been challenged in the literature (Bendassolli, 2013). Nevertheless, the method-neutral nature of realist research opens up the possibility for using qualitative interviewing (as part or as the unique method) for theory-building in realist studies. Pawson (1996) not only suggested that qualitative interviewing could be an important technique to obtaining information from various respondents faithful to their thoughts and deeds, but could be a valuable approach to generate, validate, refute and modify theories in realist studies.
While a good interviewer could explore different angles to the research questions with the participant, or even reflect with the participant on the subject matter to inspire a theory, traditional qualitative interviews might not be the best way to verify the preliminary program theories. This is because traditional qualitative interviews are based on the principle that ‘if one puts a straight question, then most of the time one gets a straight answer’, an understanding inadvertently shared between the researcher and the respondent (Pawson and Tilley, 1997: 165). This principle is mostly shared in positivist, survey research. Interpretivists, on the other hand, do not always accept interview responses at face value, albeit they do not necessarily search for the underlying causal mechanisms or a theoretical expression of meaning.
Manzano (2016) found that most qualitative interview approaches used in the studies she reviewed aimed to evaluate the program effectiveness and/or describe barriers to using the program. Her findings suggest that the research methods employed in most realist studies gravitate toward data-driven approaches. By adopting a data-driven approach, the investigators may fail to offer the respondents the opportunity to examine and comment on the preliminary theories or hypotheses that the investigators formulated. The inclination to employ data-driven approaches to a realist inquiry could arguably be related to the influence of other paradigms and research approaches, such as the grounded theory or the investigator’s inclination to understand the process, which presupposes unstructured interviews.
The ‘realist(ic) interviewing’ approach was proposed by Pawson (1996: 313) to describe the management of the flow of information between the researcher and the study participants as an important methodological strategy to examine program theories in realist inquiries. The realist interview technique focuses on creating ‘
In this article, we report on our experiences of applying the realist interviewing technique within a realist evaluation study and to demonstrate how our approach contributed to the improved trustworthiness of the results. We elaborate on the application of the realist interviewing technique through the phases of developing a theory: theory gleaning, theory refinement, and theory consolidation. In particular, we demonstrate how this technique can be used to tease out the various components (intervention, context, actor, mechanism, and outcome) of a realist program theory and maintain theoretical awareness throughout the evaluation process.
Realism: ontological foundation
Critical realism is understood to originate as a scientific alternative to positivism and intepretivism, drawing elements from both methodological strains in its account of ontology and epistemology (Fletcher, 2017; Wynn and Williams, 2012). Critical realists agree with positivists that ‘knowledge should be positively applied, but reject the positivist method for doing this, arguing that causal explanations have to be based not on empirical regularities but on references to unobservable structures’ (Cruickshank, 2012: 212). On the other hand, critical realists and interpretivists recognize the importance of ideas, experiences, narratives, and discourses in understanding social phenomenon, but the realist goes further to explain that these forms of expression serve to explore causal explanations (McEvoy and Richards, 2006). Nevertheless, realism goes beyond these two paradigms in recognizing that the world is an open system with a constellation of structures, mechanisms, and contexts (Kazi, 2003).
Realism is a philosophy that offers an understanding of a social activity, whereby both social structure and agency find a place (Bhaskar, 1975). Realism (particularly critical realism) accepts the existence of independent structures that influence the actions of actors in a particular setting while acknowledging the role of the subjective knowledge of these actors (Sobh and Perry, 2006). Critical realism, therefore, suggests that effects or outcomes arise as a result of the interaction between social structures, mechanism, and human agency (McEvoy and Richards, 2006). Thus, critical realist philosophy places emphasis on the search for the causative or generative mechanisms that explain the social world (Williams et al., 2017).
Three ontological domains are identified in realist philosophies: the real, the actual, and the empirical (Bhaskar, 1975; McEvoy and Richards, 2006). The ‘real’ is the greater domain encompassing the ‘actual’, which in turn includes the ‘empirical’ (Dickinson, 2006). The real constitutes the realm of objects and their structures (Kazi, 2003) and relates to the existence of (usually) invisible mechanisms, with the generative power causing what is observed. Therefore, anything that can have real effects is itself real (Westhorp, 2014). For instance, we know that culture is real because it has real effects. Similarly, the implication is that social constructs and institutions are real and have real effects (Westhorp, 2014).
The ‘actual’ defines what happens when the existing powers are activated (Kazi, 2003)—events (and nonevents) independent of whether they are observed or not. This layer represents the portion of those events that take place in the ‘real’ that
The third domain, the ‘empirical’, is a subset of the actual and relates to human perception and experiences of what actually happens—the day-to-day experience (Eastwood et al., 2014). It contains information that becomes known to human beings through direct and indirect experiences associated with the ‘actual’ domain. Through research endeavors, researchers can theorize about the ‘real’ by exploring event patterns and the experiences and perceptions of the actors of the phenomenon (Schiller, 2016). The relationship between these three domains is illustrated in Figure 1.

Ontological positions of realist philosophy informing realist interviews.
It is worth mentioning some relevant criticisms that critical realism has received from both positivists and interpretivists. Regarding value-to-facts when conducting research, Bhaskar argued that we can move from values to facts with ‘descriptively adequate’ accounts of ‘value impregnated’ events (Cruickshank, 2010). Positivists contend that the use of values of human emancipation introduces bias in research endeavors because the use of values in any given situation is a judgment call. In response to this criticism, realists suggest that all research endeavors draw on the values of the participants but it acknowledged in other paradigms than others, which accentuates the importance of ascertaining generative mechanisms (Walsh and Evans, 2014).
Interpretivists, on the other hand, challenge that a layered ontology cannot be identified with certainty as reality is provisional and contestable, especially as our knowledge of reality is subjective and partial (DeForge and Shaw, 2012). In a similar vein, Cruickshank (2004) argued that critical realism has two mutually exclusive definitions of ontology: as a fallible interpretation of reality and as a definitive definition of a reality beyond our knowledge claims. Realists have responded to these criticisms by clarifying that deeper layers of ontology are real because their effects are real, so researchers to seek unravel their effects as comprehensive as possible, while acknowledging that these effects are generative and not definite (Walsh and Evans, 2014).
Scientific realism and realist evaluation
According to McEvoy and Richards (2003), ‘critical realism offers a coherent framework for evaluation research that is based on the understanding of causal mechanisms’ (p. 411). The primary purpose of scientific inquiry informed by the critical realist philosophy is to obtain knowledge about the underlying causal mechanisms—structures, powers, and relations that explain how things work beneath a surface (Scott et al., 2013).
Realist evaluation strategy is based on a scientific approach to the construction of theories and models (Kazi and Spurling, 2000). Realists elicit and test the program theory of a program, policy, or intervention to explain how, why, for whom and under what circumstance it works (Pawson and Tilley, 1997). This explanation is achieved by conceptualizing the causative links between the contexts (C) within which programs are implemented, the generative mechanisms (M) the programs trigger, and the outcomes (O) of interest. To obtain information regarding the context, mechanisms, and outcomes, realist evaluation is method-neutral. Often, a mixed-methods approach is used, involving the integration of quantitative and qualitative research findings for confirmation, completeness, and abductive inspiration (McEvoy and Richards, 2006). Multimethod strategies are applied to test the extent to which the program theory corresponds with reality and how data collection and analysis directly contribute to the further development of these theories or models (Kazi and Spurling, 2000). While advocating for a pluralist and pragmatic approach to the selection of methods in realist evaluation, it is advised that the choice made should be appropriate to the hypotheses generated (Salter and Kothari, 2014).
Quantitative and qualitative data collection and analysis approaches in realist evaluation can be used to identify and classify patterns attributed to the context, mechanisms, and program outcome (Westhorp, 2014). Qualitative approaches are often used to explore the context features, the underlining mechanism, and the intervention modalities. In other words, the qualitative methods allow for the identification of the constraints and opportunities the program offers, the relevant context elements, the generative mechanisms (reasoning and the choices of the actors), and the behaviors of the actors (emergent demi-regularities). According to Smith and Elger (2012), traditional interviewing techniques could be used to obtain information on ‘the social contexts, constraints and resources within which those informants act’ (p. 6) to formulate theories. Pawson and Tilley (1997) suggest that in addition to eliciting theories through various interviewing techniques, placing the formulated program theories before various program actors for examination could inspire, validate, falsify, and/or modify hypotheses about how programs and interventions work, which is an essential process for theory refinement.
Realists advocate for the use of explanation, abstraction, and interpretive logics to make causal inferences—drawing conclusions regarding causation by applying forms of reasoning (Eastwood et al., 2014). Realists predominantly adopt retroduction, which is a form of inference that seeks to identify and verify mechanisms that are theorized to have generated the phenomena under study. In addition to identifying and verifying causal mechanisms, retroduction allows the researcher to ‘identify the necessary contextual conditions for a particular causal mechanism to take effect and to result in the empirical trends observed’ (Fletcher, 2017: 189). Retroduction is an explanatory approach characterized by the use of causal mechanisms as the basis for this explanation, the possibility for multiple potential explanations, and the understanding that these causal mechanisms may or may not be observable empirically (Wynn and Williams, 2012).
Another important tool of reference-making commonly used by realist researchers is abduction. Originally coined by Charles Peirce (Psillos, 2011), abductive reasoning typically begins with an incomplete set of observations and proceeds to the likeliest possible explanation for the set. Abductive reasoning is commonly applied when there is lack of completeness, either in the evidence that the data provides, or in the explanation, or both. Also known as theoretical redescription, abduction is a process in which ‘empirical data are re-described using theoretical concepts’ (Fletcher, 2017: 188). Thus, abductive reasoning is very useful in forming and evaluating explanatory hypotheses (Thagard and Shelley, 1997), which are two important processes in realist evaluation.
The realist interviewing approach
While conducting a realist evaluation, the evaluator starts by eliciting an initial program theory—assumptions of how the program should be organized and why the program is expected to work (Westhorp, 2014). The next step entails testing the hypothesis in selected cases: the realist investigator is interested in investigating whether a program theory holds (Manzano, 2016). To this end, Pawson proposes the realist interview technique comprising the
In realist research, the assumptions and expectations of the program designers (folk theories) are usually explored. In addition, the realist evaluator explores the sense and the experiences that the program actors use to construct, maintain, and negotiate the expected behavior. To obtain information from these program actors, the investigators use appropriate multimethod data collection and analysis approaches. These methods are usually applied to glean information on the program modalities, important context conditions, mechanisms provided and/or triggered by the program, and the potential outcomes of the program that could be used to formulate the initial program theory.
While there are no prescriptive methods for gleaning the initial program theory, exploratory or explanatory interview (discussion) approaches applied during the theory-gleaning phase could be very useful in understanding the content and context of programs. These interviews are described as
The phrase ‘I’ll show you my theory if you show me yours’ coined by Pawson (1996: 307) and Pawson and Tilley (1997: 169) captures the essence of the teaching-learning function of realist interviewing. In applying the teacher-learner approach, the interviewer is advised against adopting the
Pawson and Tilley (1997) suggest that the conceptual focusing function of the realist interview can be applied to obtain responses related to the CMO, although more about the program mechanisms relate to how the respondents take decisions and make choices in relation to a program. Conceptual focusing occurs when the respondents are given the opportunity to express their points of view based on their own thinking and decision-making process in the context of the interviewer’s own theory. The expertise related to the ‘generative mechanism’ of a program often lies with the informant as s/he describes the detailed way in which reasoning contributes to the observed outcomes (Pawson, 1996: 303).
Another important aspect relevant to conducting realist interviews is the notion of ‘knowledgeability’ of the interviewees. This notion relates to ‘who knows what’ with regard to the program. In this regard, Pawson and Tilley (1997: 160–161) identify two important categories of potential informants relevant to realist evaluation of a program, ‘practitioners’ and ‘subjects’. The identification of potential key informants for realist interviews is important for the selection of participants and for how the interviews will be focused and conducted in relation to teasing the elements such as intervention modalities, context, actors, mechanisms, and outcomes.
The context-mechanism-outcome configuration and the realist interview
The context-mechanism-outcome (CMO) configuration is a heuristic analytic tool used to construct program theories in realist evaluation studies. Therefore, in eliciting the program theory of a program or an intervention in realist evaluation, the investigator strives to configure the causal relationship between the context within which the program is implemented (individual, organizational, and environmental), the mechanisms that are provided by the program and the expected outcomes of the program. CMO configurations postulate how programs activate mechanisms (M) among whom and in what conditions (C), to bring about alterations in behavior or event or state regularities (O) (Pawson and Tilley, 2004: 9). For instance, providing free home-based glucose testing machines to diabetic patients who live far from the closest healthcare facility (C) could motivate (M) them to control their blood sugar levels (O). CMO propositions bring together mechanism variation and context variation to explain outcome pattern variation (Pawson and Tilley, 2004: 9).
Connelly (2001) suggested that the CMO heuristic tool requires expansion and elaboration for it to cope with the complexities that exist in other fields. With the field of health policy and systems offering such complexities, Marchal et al. (2018) and Mukumbang et al. (2018a) elaborated on the CMO configurational logic proposed by Pawson and Tilley (1997) to include components of the ‘Intervention’ and the ‘Actors’. This follows the understanding that people are not passive recipients of innovations (Greenhalgh et al., 2004) and programs can only work when the relevant actors adopt either all or parts of the intervention modalities. In this regard, generative

The conceptualized intervention-context-actor-mechanism-outcome analytic tool.
Pawson (2013: 21) cautioned that the CMO heuristic tool is an ‘ugly circumlocution’ with the parts dependent on the whole. Julnes et al. (1998) added that while the CMO framework offers a useful tool for theory-driven evaluation, it does not represent the complete range of evaluation exercises. Similarly, the ICAMO heuristic tool mainly offered case-specific and fundamental building blocks and was applied in this article as a model useful for our retroductive and abductive thinking processes. According Marchal et al. (2018), although the ICAMO heuristic tool is can be useful for within case analysis, they might not be very useful when comparing multiple cases or events.
Pawson and Tilley (1997) suggest that the selection of the potential interviewee should be based on their contributions toward clarifying the program theory. Different respondents might contribute to different components (Manzano, 2016: 350). Practitioners will have specific ideas on the intervention modalities, what is within the intervention that works, knowledge on the outcomes of the intervention (because they are likely to have experienced successes and failures), and some awareness of actors and places for whom and in which the intervention works (Pawson and Tilley, 1997: 161). On the other side, the program users are more likely to be sensitized about mechanisms and intervention modalities than to its contextual constraints and outcome patterns (Pawson and Tilley, 1997: 160).
Program theory and the phases in the realist interview
The program: adherence club intervention
The adherence club intervention—a group-based adherence-enhancing intervention—was implemented in the Western Cape Province of South Africa to address challenges of clinic congestion, poor retention in care, and suboptimal adherence to antiretroviral treatment (ART) in the context of rapidly growing HIV patient population on ART in South Africa (Wilkinson, 2013). It aims to (a) retain patients in ART care by providing a more efficient way to manage stable patients; (b) maintain good long-term adherence in PLWHA on ART through quick access to medication; and (c) decongest the health facility through group sessions (facilitated by trained non-clinical health care workers) (HAST, 2015).
The adherence club intervention is designed to streamline ART care for adult (18+ years), treatment-experienced patients with good clinic attendance record, and evidence of medication adherence (two most recent consecutive viral loads undetectable (<400 copies/mL)) (UNAIDS and MSF, 2012). Through group consultations, convenient medication pickup processes, and providing access to a clinician when needed, the adherence club drastically reduces the waiting times of the patients.
Any patient reporting with symptoms suggesting illness, adverse drug effects, or weight loss is referred by the club facilitator to the club nurse for further consultations. Based on the outcome of the consultation, they are either sent to collect their medication from the club facilitator or removed from the club (having uncontrolled comorbidities such as diabetes or hypertension). The intervention also provides a social environment that encourages patient interaction. The adherence club intervention has been described in greater detail elsewhere (Bateman, 2013; Mukumbang et al., 2016a; 2019; Wilkinson, 2013).
Program theory: developmental stages vis-à-vis realist interviews
Manzano (2016: 343) proposed three types of realist interviews: theory gleaning, theory refinement, and theory consolidation interviews to guide the process of eliciting and testing program theories.
Phases in the realist interview
Phase 1: theory gleaning interviews
The first step in conducting a realist evaluation is to elicit the initial program theory that explains how the intervention is expected to work according to the program designers and implementers (Pawson and Tilley, 1997: 88). This represents the theory gleaning phase or ‘theory elicitation’ where different sources are used to obtain relevant information to articulate the preliminary understanding of how, why, and under what conditions a program works.
The researcher, therefore, strives to make sense of the program’s original intention by conceptualizing, categorizing, and ordering (Andersen and Kragh, 2010) the experiences and assumptions of the program designers and implementers. According to Pawson and Tilley (1997: 161), program designers and people working to implement the program are a good source of information at this phase of the study. Leeuw (2003: 14) asserts that managers, stakeholders, and workers involved in a program have ‘cognitions’ (or ‘mental maps’) about the organization and the environment of the program. In accordance with this suggestion, we interviewed the program designers and senior and middle-level managers (Mukumbang et al., 2016b). We only included the facility-level managers in the second phase of theory refinement.
The questions we asked during the interviews were predominantly exploratory. At the initial phase of the study, we conducted a review of documents such as program descriptions, implementation guidelines, and a toolkit on the adherence club. The information obtained from the document review served as pointers to the aspects that required more probing during the interview process with the key informants. The goal was to explore the assumptions of the program designers and managers (folk theories) to improve our understanding of the theory or theories underpinning the functioning of the intervention (Mukumbang et al., 2016b).
Our approach at this point was to understand the nature of the adherence club program and how and why the program designers/managers envisaged it should work. For this reason, we adopted a standard semistructured in-depth interview method (Mukumbang et al., 2016b). We also used probing questions to obtain specific information. The excerpt in Table 1 illustrates the exploratory nature of the questions asked, focusing on obtaining details of relevant contexts, potential mechanisms, and main outcomes of interest.
Example of an exploratory interview with a program manager.
As illustrated in the excerpt above as well as the overall interview guide, the interviews were designed to obtain information on the accounts and viewpoints of the respondents on salient issues and events. We started each interview with the managers and program designers with general questions on adherence to medication, retention in care, and the interviewee’s role. Then we asked about the expected and observed (emergent) outcomes. We asked questions relating to how the program designers and managers thought the different resources they provide in the intervention would propagate a change in behavior to tease out possible mechanisms and relevant contexts. We applied a thematic content analysis method (Miles and Huberman, 1994) to analyze the data. The results from the document analysis and the analysis of the semistructured in-depth interviews were used to formulate ICAMO configurations (following the coding frame—Table 2) that informed the further development of the adherence club’s initial program theory.
Definition of relevant ICAMO terms and coding frame.
To further consolidate the preliminary ICAMO configuration, we carried out a systematic review of available studies on group-based ART adherence support models in sub-Saharan Africa (Mukumbang et al., 2017a) and a scoping review of social, cognitive, and behavioral theories that have been applied to explain adherence to ART (Mukumbang et al., 2017b). Applying retroduction, we developed the initial program theories of the adherence club program as an ICAMO configurational map—a logic in which outcomes are considered to follow from the alignment, within a case, of a specific combination of attributes—of the elements of the realist heuristic tool (Pawson and Tilley, 2004).
The configurational mapping was done by linking each active mechanism with the observed outcomes (M-O links); then we looked for the context(s) in which the mechanism was contingent and assessed the link with the actual intervention and the involved actors (retroduction). After obtaining conjectured ICAMO configurations, we applied counterfactual thinking and judgemental rationality (examining alternative explanations) to argue toward
Initial program theory of the adherence club intervention represented by two tentative theories (hypotheses).
Although each of the postulated theories has multiple mechanisms and multiple outcomes, during the theory testing phase, we shared individual ICAMOs with the respondent for a systematic approach to responding while maintaining a holistic feel of the theory.
Phase 2: theory refinement interviews
Once the initial program theory was elicited, the next step was to verify it through an empirical study. Following Koenig’s (2009) confirmation that the case study research design aligns with the realist evaluation approach, we conducted refinement of theory through a multi–case study design (Yin, 2013). We identified cases based on the following classification (Creswell and Plano Clark, 2011; Gerring, 2009):
Based on the retention in care rates from monitoring reports of the adherence club program from 2014 to 2017, we classified our cases accordingly. The ‘typical’ case exemplified by a facility that showed a steady improvement in retention in the care of patients on ART in the facility (Mukumbang et al., 2019a). The ‘deviant’ case illustrated a poor-performing facility in terms of retention in care (Mukumbang et al., 2019b), while the ‘crucial’ case represented a facility that started off with very good retention in care rates, but then saw a steep drop following a change in the way the ART program was run (Mukumbang et al., 2018c). The role of the realist interviewing technique in this phase was to use the initial program theory as the basis for obtaining further information that could clarify, modify, approve, or discredit the initial program theory. In addition to this, other methods were applied to triangulate or support the information obtained through the realist interview techniques, notably nonparticipant observations and descriptive retrospective cohort analysis.
Two qualitative data collection methods were used: nonparticipant observations (Patton, 2015) and semistructured realist interviews (Manzano, 2016; Pawson, 1996). We conducted four nonparticipant observations of the adherence club meetings, where we observed club sessions without interfering in any of the processes. These included two sessions of exclusive medication collection and two sessions of blood sample collection/medication collection. The goal of the nonparticipant observation was to obtain insights into events and activities. We captured the dynamics of interactions of the group members with each other and with care providers in our field notes.
Our focus, once again, is on the role of the interview technique applied. In essence, this was the point at which the teacher-learner and the conceptual refining function become apparent. During this phase, ‘
During the theory refinement phase of our study, we interviewed three categories of actors: clinical staff (doctors and nurses), club facilitators (lay counselors), and the users (patients). These different groups of actors were purposively selected on the basis of their knowledge of the adherence club’s intervention. The purpose was to obtain their interpretations of their social contexts and their reasoning regarding the resources and constraints offered by the adherence club intervention. We explained our initial program theory to the program managers and the adherence club facilitators and used their responses to refine the initial program theory. Table 3 shows an excerpt from an interview with a club nurse to illustrate the teacher-learner conceptualization of the realist interview method.
Excerpts from an interview with a club nurse to illustrate the teacher-learner conceptualization of the realist interview method.
Notably, we described the two theories explicating how and why we thought the adherence club hypothetically would work. First, we wanted to know if based on their understanding and experience of working on the program, they could clarify our understanding of the preliminary theories. Then, we invited them to provide more information to back up their choice of theory and substantiate their points by providing examples. Therefore, in addition to ‘teaching’ the respondent the initial program theories, we asked structured qualitative questions. These questions fell within the ambit of the conceptual focusing component of the realist interviewing technique whereby the respondent clarifies the thinking of the researcher based on their own ideas, knowledge, and experiences. Table 4 illustrates an example of structured qualitative interview.
Example of structured qualitative questions with the club nurse.
The excerpt above illustrates how respondents, having understood the program theory with which the researcher/interviewer is working, framed their responses with the goal of providing clarity to the researchers’ theories. The respondent identified the two theories that we elicited as being applicable to a certain extent. The respondent also provided further information (examples) to back up the choice of theory or theories. We used some exploratory questions to ‘guide’ the reflections of the respondents (Table 4). This captures the potential conceptual function of the realist interview process whereby the participants have the opportunity to recount their own decision-making process.
As mentioned previously, the questions to the program users did not require them to comment on the entire initial program theories, but only on how they made decisions in response to the resources, constraints, and opportunities provided by the intervention. Therefore, while interviewing the program users, our focus was on collecting information about (or related to) the reasoning of the patients leading to their decision to adhere (or not) to their medication or to remain (or not) in care. This represents the conceptual focusing component of the realist interviewing technique. An example of the conceptual focusing questions with a program user is illustrated in Table 5.
Example of structured qualitative questions with a program user (patient).
During the theory refining phase of the study, both quantitative and qualitative data were collected in relation to the initial program theory. The use of a multimethod evidence base was meant to ensure good documentation of the implementation of the program (Sharpe, 2011). We employed quantitative data collection and analysis methods to identify and classify the outcome patterns and qualitative data to explore implementation features related to the context (observation) and the mechanism (exploratory and realist interviews). The retrospective cohort analysis was conducted to describe the primary outcomes of the adherence club intervention (retention in care and adherence to medication) and the qualitative explanatory design provided evidence regarding the ICAMO configuration links in the implementation chain. We applied this multimethod approach to data collection and analysis in our three contrastive cases (Mukumbang et al., 2018c, 2019a, 2019b). After conducting the analyses in the different contexts (cases), we constructed ICAMO matrix tables and models in relation to the different adherence club intervention modalities (supplemental file 1).
Phase 3: theory consolidation interviews
Our aim at this point was twofold: to strengthen or reduce support for the tested theories, and to determine how the two theories best explain (or not) how, why and in what circumstance the adherence club intervention works.
Two approaches were applied representing the two components of the realist interview technique. In the first approach, attributed to the conceptual focusing component of the realist interview technique toward theory consolidation, we had ‘conversations’ with the relevant stakeholders. According to Manzano (2016: 356) these theory consolidation interviews ‘should be guided with the help of the specificities of the individual cases, and from there, they can be directed into the general program’. The theory obtained after the theory consolidation interviews should ‘. . . reflect the primary actors’ and researchers’ interpretations of meanings and intentionality [mechanisms], and the reciprocal influences of social action and context’ (Wynn and Williams, 2012: 789). The process of fine-tuning theories could involve repeating interviews with some key participants to probe, confirm, or receive clarifications on aspects of the program theory. This is typically done during the data analysis process when the investigators identify gaps or issues that require further clarification.
The excerpt in Table 6 represents part of an interview that was conducted for the purposes of obtaining clarification on the program theory. The goal was to obtain missing information related to the role of the health talks that are provided as part of the adherence club intervention. To this end, we scheduled an appointment with the supervisor of the club facilitators at the subdistrict level.
An interview demonstrating the use of the conceptual focusing approach to theory verification.
In the second approach, representing the teacher-learner component of the realist interview technique, we conducted a working meeting with the adherence club program designers and managers to present them with the initial program theory and the ICAMO configurations we obtained after testing of the initial program theory in three contrastive sites.
After presenting our findings in a one-hour session, we divided the attendees into two groups and asked them to discuss on the two program theories and the mechanisms of motivation, empowerment, and self-efficacy or nudging by club rules. Attendees were given 15 minutes to discuss and represent how and why the adherence club works in light of the theories presented. Both groups agreed that both theories provided potential explications of how the adherence club intervention works. This begged the question which of the theories provided a stronger explanation (Judgemental rationality). Judgemental rationality is applied to evaluate and compare the explanatory power of different theoretical explanations and to select theories which most accurately represent the domain of “real” abductively (Hu, 2018). To this end, we asked the discussants to identify enabling and disabling mechanisms provided by the various modalities of the adherence club intervention in relation to the different contexts (three cases) that they were provided. This exercise took another 30 minutes.
After some discussion, a consensus was reached that both theories should be combined to explain the working of the adherence club’s intervention. This decision was backed by the argument that different patients have different attitudes and responses to the intervention. That is, some patients would perceive the resources and opportunities offered by the adherence club modalities as a source of motivation while others might respond more to the restrictive nature of the club rules and they prefer to be nudged rather than given the opportunity to make the decisions.
After these consultations with the relevant stakeholders, we systematically applied a counterfactual thinking (positing alternative circumstances) to each of the possibilities that emanated from discussions. The counterfactual conditions were meant to foster our judgments of greater explanatory power (Bhaskar, 2009) of greater explanatory power (Bhaskar, 2009) of causality in the functional theory that was developing (Roese, 1997). This thinking toward a functional theory was instrumental in addressing the alternative explanations that we had and gave us more confidence in our findings (Yin, 2013). Figure 3 captures how we navigated the research phases with regard to the different realist interviewing types.

Alignment of realist interview types along the realist research phases.
Byng et al. (2005) argue that while it is important to have the CMO configurations of the different units of the program, policy, or intervention, it adds value to see how these units come together as a whole. They suggested constructing a configurational map (model) to represent the bigger picture. This was achieved through the process of retrodiction – placing the different within-case theories or models in a juxtaposition allowing for the differences and similarities to become clear (McAvoy and Butler, 2018). Retrodiction was used to examine the similarities and differences between the various cases through abstraction and accentuation,—highlighting the most prominent mechanisms (Hedstrom and Swedberg, 1998). This follows the logic that certain mechanisms dominate others and occur more frequently and thus become apparent at the level of the ‘actual’ phenomena in the form of partial regularities or demi-regularities. The following mechanisms were identified: ‘motivation’, ‘empowerment’ and ‘being nudged’. These mechanisms were used to construct a configurational map for the adherence club’s intervention as an entire intervention with its modalities as illustrated in Figure 4.

Refined configurational map of the adherence club intervention.
Discussion
Pawson and Tilley (1997) proposed that although realist evaluation is method-neutral, the use of traditional interviewing techniques is not sufficient for mining the theories that would explain what works, for whom, and under what circumstances with regard to an intervention. In response to this challenge, Pawson (1996) and Pawson and Tilley (1997: chap 6) proposed a theory-driven approach to interviewing—the realist interview. Although qualitative interviewing is the most common method of data collection in realist evaluations, the application of the realist interviewing technique within these studies is conspicuously absent (Manzano, 2016). In this paper, we sought to demonstrate the practical application of the realist interview technique through our project of evaluating the adherence club intervention using the realist evaluation approach.
We applied the overall interviewing process in three phases as proposed by Manzano (2016): theory gleaning, theory refinement, and theory consolidation. In the theory-gleaning phase, we applied explanatory and exploratory interview questions to elicit the initial program theory of the adherence club intervention (Box 1). Following this phase, we applied the two components of the realist interviewing process: teacher-learner function and conceptual focusing within the theory-refinement and theory-consolidation phases.
In the theory refinement phase, the teacher-leaner function was the dominant component of the realist interviewing technique. This is because our goal was to obtain a reflection from the participant on the initial program theory formulated. In the third phase, the conceptual focusing function was the dominant component as it was based on seeking precise information (identifying enabling and disabling mechanisms located within different context) to confirm, validate, or disproof other information. Figure 5 represents our conceptualization of the interview management process incorporating the realist interviewing technique.

Conceptualized information management process in a realist evaluation study—the realist interview technique.
Following the notion that the realist evaluation approach is in essence theory-driven, the realist interviewing approach provided a scaffold that maintained theoretical awareness throughout the evaluation process. This scaffolding role was particularly useful as we had to navigate from the emic (the perspective of the actors) to the etic (the perspective of the researcher). McEvoy and Richards (2003) confirmed that ‘theory development is an iterative process, as researchers need to combine the results of multiple, well-conducted studies in order to tease out the generative mechanisms that explain not only why an intervention works or does not work, but also for whom the intervention works and under what circumstances’ (p. 415). Following the exploratory and explanatory interviews with program designers and managers, we formulated hypotheses of how the intervention is intended to work supported by evidence from other sources. Armed with our tentative theories, we returned to the field to test our theories in three contrastive sites where we shared our preliminary theories with various stakeholders for commenting.
Based on the information from the theory-testing interviews and from other sources, we formulated theories representing how and why the adherence club intervention worked or not in the different cases. We returned with these case-based theories to the program designers and managers in theory consolidation interviews and a discussion forum, and presented our tested theories for possible refinement—modification, verification, and dismissal. After the critical examination of the modified theories by the program designers and managers, we applied counterfactual thinking to foster our judgment of causality to the functional theory that was developing. To this end, the realist interviewing technique was instrumental in maintaining our focus on identifying and conceptualizing the components of the ICAMO heuristic tool.
We found that the realist interview approach bolsters theory development and refinement through its iterative nature (repeated movement between data analysis and collection). According to Manzano (2016: 157), the realist analysis process ‘is an ongoing iterative process of placing nuggets of information within a wider configurational explanation’. After sourcing information from various sources (nonparticipant observation and retrospective analysis of the retention in care and adherence to medication behavior of the patients in the adherence club) and conceptualizing the nuggets of information to formulate the ICAMO configurations, applying the realist interview technique made it easy for us to go back and forth between the data and the program theory that was emerging. Therefore, the realist interview technique as applied through the various phases of theory development, testing, and consolidation offered a systematic approach to address the aims of each phase of the realist evaluation cycle while grounding the researchers within the theoretical framework.
Because the realist interviewing technique allowed us to navigate between the perspectives of the actors and those of the researchers and simultaneously adopt the iterative process of data collection and analysis, we could fine-tune the program theory on the basis of relevant emerging data. We thus argue, along with other authors (Manzano, 2016; Pawson, 1996; Pawson and Tilley, 1997), that the realist interviewing approach enhances the process of theory development and refinement and that it is most appropriate when two or more theories are being tested. To this end, we encourage its application in other realist evaluation studies where suitable.
During the application of the realist interview technique, we encountered some challenges. First, we noticed when we piloted the interview guide that the respondents would tend simply to agree to what we presented. Because the realist interview technique requires the interviewer to ‘teach’ the respondent their theory, there was the tendency that the respondent would simply agree to what the interviewer presented, a phenomenon described as acquiescence. To minimize the chances of acquiescence, we asked the respondents to give instances where the adherence club worked and instances where it did not work according to the theory.
Another challenge emerged in the interviews with the program users. The initial program theories should be explained in a comprehensible way so that the respondent understands clearly the logic of thinking of the interviewer. As Pawson and Tilley put it, ‘Yes, I understand the general theoretical ground you are exploring, this makes your concepts clear to me, and applying them to me gives the following answers . . .’ (Pawson and Tilley 1997: 167). In addition, with regard to the various components (intervention-context-actor-mechanism-outcome) of the program theory, Pawson (1996) suggests that the program users are not conversant with aspects of context and to an extent the outcome but would be a good source of information with regard to the mechanisms as they can explain their thinking and decision-making processes vis-à-vis the intervention.
In practice, it was not easy to present our overall initial program theory to the patients. We therefore fed them microelements of the initial program theory within the questions as advised by Pawson and Tilley (1997). This approach is in line with the conceptual focusing technique whereby we explored how the respondents take decisions and make choices regarding the adherence club. While we were unable to apply the teacher-learner approach with regard to the patients receiving care in the adherence club intervention, it was possible to use conceptual focusing. For this reason, the phases that have been identified here are not prescriptive.
Different methodologies take different approaches to validity, trustworthiness, and rigor (Porter, 2007). The trustworthiness of using the realist interview technique pertains to the accounts and conclusions reached by the researcher(s). According to Maxwell (2012), a realist approach to trustworthiness should ensure that the models or theories developed based on what data technique used should allow the researcher to collect relevant information. In this way, Maxwell (2012) suggests that methods used in realist studies should be ‘assessed for the purpose for which they are used, the context of this use, the data, conclusions, and understandings that are drawn from them, and, in particular, the ways that these understandings and conclusions could be wrong’ (p. 132). We discuss the trustworthiness of the realist interviewing technique in terms of descriptive trustworthiness and theoretical trustworthiness.
According to Maxwell (2012), ‘meanings and constructions of the actors are part of the reality that an account must be tested against in order to be interpretively as well as descriptively valid’ (p. 139). After eliciting the initial program theory based on the above-mentioned triangulation approaches, we applied the realist interviewing technique to verify the preliminary theories. The realist interviewing of the various actors of the adherence club intervention provided both descriptive and interpretive validity of the program theory of the adherence club intervention.
The theoretical trustworthiness of the realist interviewing technique relates to the extent to which the realist interviewing technique helps the interviewer to identify aspects or concepts that the theory employs and the relationships that are hypothesized to exist among these concepts. The realist interviewing approach supports the other data collection approaches to identify the various aspects of the ICAMO heuristic explanatory model and also to strengthen the links in the ICAMO configurations. In this case, the interviewees provided responses that strengthened the link by identifying mechanism-outcome (M-O) links and the various contextual elements on which the mechanisms are contingent. Jackson and Kolla (2012) also suggest collecting and analyzing data in realist studies in a way that linked dyads (M-Os, C-Ms, C-Os) and triads (CMOs) are identified.
Additionally, by holding discussions with the adherence club program designers and evaluators in the theory consolidation phase, we invoked the notion of judgmental rationality, which implies that arguments can be found and these arguments could provide for the validity of a judgment about truth (Bhaskar, 2009). By applying judgmental rationality, Archer et al. (2016) suggest that ‘we can publicly discuss our claims about reality, as we think it is, and marshal better or worse arguments on behalf of those claims. By comparatively evaluating the existing arguments, we can arrive at reason, though provisional judgements about what reality is objectively like’. The authors are accentuating the importance of exposing one’s tentative theories for examination by others familiar with the phenomenon. In addition, they are making the argument that we can only lay claim to a reality independent of our knowing it, provisionally and full in the knowledge that the real is a transitive object of our enquiry. This approach was very useful regarding examining the theories that we had formulated and how the program designers and implementers could identify with the theories. This was an important step in consolidating our program theory.
Conclusion
While Pawson and Tilley (1997) developed the realist evaluation approach as a theory-based approach to evaluating complex programs showing varying outcomes when implemented, they proposed the realist interviewing approach as a distinctive approach to verify theories developed through the evaluation process. Nevertheless, the realist interviewing technique is generally underutilized within realist evaluation studies. We showed how the realist interviewing approach reinforces and maintains theoretical awareness throughout the theory-driven evaluation process and we brought to light the trustworthiness that the realist interviewing technique affords to a realist evaluation study. We, therefore, recommend the use of the realist interview approach to suitable realist studies.
Supplemental Material
Supplemental_Material – Supplemental material for Using the realist interview approach to maintain theoretical awareness in realist studies
Supplemental material, Supplemental_Material for Using the realist interview approach to maintain theoretical awareness in realist studies by Ferdinand C Mukumbang, Bruno Marchal, Sara Van Belle and Brian van Wyk in Qualitative Research
Footnotes
Acknowledgements
We would like to acknowledge Dr. Ana Manzano for her guidance and expertise toward refining of this article. We also acknowledge the contributions of the two unknown reviews who reviewed the work. Their comments and queries provided great insights toward improving the manuscript.
Declaration of Conflicting Interests
The authors declare that there is no conflict of interest.
Funding
The authors disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by the Medical Research Council of South Africa [National Health Scholars Program]. This research was also funded by an African Doctoral Dissertation Research Fellowship (ADDRF) award offered by the African Population and Health Research Center (APHRC) in partnership with the International Development Research Centre (IDRC). The work was also partly funded by the Framework 4 Agreement between the Belgian Directorate General for Development Cooperation and the University of the Western Cape (Grant No.: BBD 0344023272).
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