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HYPOTHESIS AND THEORY article

Front. Health Serv., 23 September 2022
Sec. Implementation Science
This article is part of the Research Topic The Theory and Pragmatics of Power and Relationships in Implementation View all 9 articles

Building trusting relationships to support implementation: A proposed theoretical model

  • 1School of Social Work, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
  • 2London School of Hygiene and Tropical Medicine, London, United Kingdom

This paper presents a theory of change that articulates (a) proposed strategies for building trust among implementation stakeholders and (b) the theoretical linkages between trusting relationships and implementation outcomes. The theory of change describes how trusting relationships cultivate increases in motivation, capability, and opportunity for supporting implementation among implementation stakeholders, with implications for commitment and resilience for sustained implementation, and ultimately, positive implementation outcomes. Recommendations related to the measurement of key constructs in the theory of change are provided. The paper highlights how the development of a testable causal model on trusting relationships and implementation outcomes can provide a bridge between implementation research and implementation practice.

Introduction

The implementation of effective policies, practices, and approaches is critical to optimizing patient care in the context of health services. To increase the generalizability of findings from implementation research to implementation practice, the field of implementation science has begun to call for greater conceptual clarity on important aspects of implementation (1). This call for greater conceptual clarity may be due, in part, to growing discussions in the field of implementation science on the divide between implementation research and implementation practice (2). Implementation research seeks to understand the approaches that work best to translate research to the real world, whereas implementation practice seeks to apply and adapt these approaches in different contexts to achieve outcomes (3).

Trust is an example of an implementation construct that needs to be further operationalized so that implementation researchers can study its role in implementation and implementation practitioners can test strategies to foster and deepen trust among implementation stakeholders. Common definitions of interpersonal trust appeal to McAllister's [(4), p.25] articulation as follows: “the extent to which a person is confident in and willing to act on the basis of the words, actions, and decisions of another.” Trusting relationships are centered in vulnerability where the beliefs or expectations of individuals in the relationship are that actions will cause no harm and will provide benefit (58).

Although trusting relationships are commonly described as important by implementation stakeholders involved in leading implementation efforts (911), few studies have explored this topic in depth (1214). The dearth of research in this area limits our theoretical and practical understanding of how trusting relationships among implementation stakeholders can be effectively built and why they are important. Implementation stakeholders refer to all individuals and groups who have an interest in the implementation result and, therefore, require authentic involvement in the implementation process (15). In this paper, we describe how professionals providing implementation support—referred to as implementation support practitioners (ISPs) (16, 17)–can build trust with and among implementation stakeholders, consequently leading to improved implementation results. In a recent study, highly experienced ISPs emphasized that high-quality relationships among implementation stakeholders was a—if not the—critical factor for achieving implementation results (2).

Conceptual clarity regarding the role of trusting relationships in implementation will enable the development of research designs and measures that could aid in answering important research questions, such has how trust moderates associations between implementation strategies and implementation outcomes. Consistent terminology and definitions are needed to describe the relational aspects of implementation. Research on trust can also produce generalizable knowledge related to trust-building among implementers, thereby creating a virtuous learning cycle between implementation researchers and ISPs.

This paper will present a theory of change that highlights promising strategies for building trust among implementation stakeholders. The theory of change also explicates how trusting relationships promote motivation, capability, and opportunity for supporting implementation among implementation stakeholders, with implications for commitment to and resilience for sustained implementation, and ultimately, positive implementation outcomes. We will first describe the role of trust in implementation practice, followed by a description of the theoretical models that have informed the proposed theory of change and the assumptions that underly the connections between trust and implementation outcomes. We will also provide examples of how trust and other key constructs in the theory of change can be measured and how the development of this testable causal model can provide a bridge between implementation research and implementation practice.

Conceptualizing trust

Historically, efforts to understand trust have incorporated rational choice perspectives that emphasize self-interest as a primary motivating force; however, these perspectives justly have been criticized for failing to fully account for the role of perceptions, attributions, and affective processes associated with relational trust-building (4, 7, 1823). The theory of change describes both relational and technical strategies for building trust. Whereas technical strategies are grounded in intrapersonal and cognitive dimensions of trust, relational strategies are grounded in interpersonal and affective dimensions of trust (4, 24). Intrapersonal trust refers to the belief that a team member or stakeholder is reliable, competent, and committed to the goals of the implementation team. Interpersonal trust refers to the perception of implementation team members and stakeholders that they are in a collaborative and reciprocal relationship in pursuit of the same aims (17).

Similarly, McAllister (4) highlights key differences between cognitive and affective dimensions of trust. Cognition-based trust reflects individuals' cognitive evaluations of the reliability, integrity, and competence of others; whereas affect-based trust reflects individuals' feelings of emotional involvement and others' genuine care and concern for their welfare (8). Thus, trustors often endeavor to observe the following: (a) whether trustees' behavior indicates that they are competent to perform according to expectations, and (b) whether trustees' behavior conveys an intention to invest in and maintain a working relationship (7). Many researchers agree that trust is cultivated primarily by a combination of these cognitive/intrapersonal and affective/interpersonal factors (6).

Trust in implementation teams

Implementation efforts often rely on implementation teams (25). An implementation team is a group of stakeholders (e.g., program administrators, practitioners, program developers, funders, recipients of program services, community members) that oversees, manages, and is accountable for performing key functions with respect to the selection, implementation, and continuous improvement of a selected intervention (25). Implementation teams are a group with a common goal and are jointly responsible for ensuring completion of necessary tasks throughout all stages of the implementation process. Implementation teams offer a valuable alternative to “solo hero” models of implementation, whereby one or more individual leaders operate in siloes and struggle to effectively influence all necessary stakeholders in the context of an implementation effort. Higher levels of interpersonal trust, particularly in the context of teams, has been linked to higher levels of team satisfaction (26, 27), proactive idea implementation and problem-solving (28), information sharing (29, 30), team learning (31), team-member autonomy and task interdependence (32), affective commitment (27), organizational commitment (33), productivity (33), cooperation (34), and team performance (8, 3538).

Evidence linking trust with team cooperation and team performance is especially compelling, given robust meta-analytic studies that have been conducted on these topics. Specifically, a meta-analysis of 212 individual studies assessing the association between trust and cooperation yielded a small-to-moderate average effect size [r = 0.26; (34)]. Another meta-analysis of 112 independent studies (including over 7,700 teams) yielded an above-average overall effect size (ρ = 0.30) linking intrateam trust and team performance—defined as the extent to which a team accomplishes its goal or mission (8). Taken together, the literature highlights numerous positive individual- and team-level outcomes associated with interpersonal trust.

Trust in implementation practice

There is growing interest in the experiences of ISPs, including the strategies they use to support implementation and the skills required to use these strategies (39). Emerging competencies for this workforce; identified through research on the knowledge, skills, and attitudes of ISPs; uniformly identify building trusting relationships as a critical skill for progressing implementation (17, 40).

Furthermore, experienced ISPs have amplified the need to focus on relational issues in implementation and have identified trusting relationships as a critical aspect of implementation (16, 17). In general, the field of implementation is more routinely acknowledging the wide range of skills and attributes, both technical and relational, needed to effectively, and resiliently, provide implementation support (16, 4143). Yet, trust-building is not explicitly named as an implementation strategy (44) and is not included in commonly used implementation frameworks.

Implementation strategies refer to “the methods or techniques used to enhance the adoption, implementation, and sustainability of a clinical program or practice” (45). Implementation strategies are used to affect change on specific implementation outcomes described by Proctor et al. as acceptability, adoption, fidelity, reach, and sustainability (45). Trust-building can be considered an implementation strategy in its own right. That is, trust can directly contribute to desirable implementation outcomes. Trust can also be conceptualized as a moderator of associations between commonly applied implementation strategies and implementation outcomes, magnifying the impact of any implementation strategy on implementation outcomes.

In the context of our proposed theory of change, we foreground trust-building as an implementation strategy. We also acknowledge that when trust is developed, trust can positively moderate the effects of other implementation strategies (46). Implementation strategies in existing taxonomies (e.g., Expert Recommendations for Implementing Change [ERIC] compilation) (44) often represent broad “labels” for implementation activities that leave ample room for further operationalization and tailoring by ISPs working in the often-complex settings of routine practice and policy implementation. The experiences of ISPs can help to further operationalize what it takes for implementation strategies to effectively contribute to implementation progress and outcomes.

For example, recent studies on the role of ISPs point to the relational processes and affective experiences of providing implementation support (47). In a recent study of evidence use (2), the importance of trusting relationships to enable successful implementation and sustained evidence use emerged as a central theme through interviews conducted with experienced ISPs. Study participants included professionals who support the use of evidence-based practices in child and family services. Participants described how they pivoted away from the use of specific implementation frameworks or methods, focusing more on developing trusting relationships and building teams in order to achieve implementation outcomes.

Additionally, in a recent study where experienced ISPs were interviewed (2), almost all participants reflected on a transformation in the way they provide implementation support, moving from didactic trainings to participatory models to co-creation. The majority of participants noted a current and desired state of implementation support focused on trusting relationships, driven by community data, and centered in co-creative approaches where both intervention and implementation strategies are co-designed with community members.

In summary, growing evidence highlights trusting relationships as a critical element of effective implementation, with important implications for efforts to bring to scale effective policies, practices, and approaches in the context of health services and other related service delivery settings. Valuable opportunities remain to develop theoretical models to guide future research and enrich our understanding of relational elements that optimize implementation efforts. The purpose of this paper is to provide conceptual clarity on the role of trusting relationships in implementation, which can strengthen the connection between implementation research and implementation practice. In this paper, we present a theoretical model on how trusting relationships ultimately contribute to implementation outcomes. This theoretical model integrates relational cohesion theory (48, 49), relational cultural theory (50), and implementation research findings related to mechanisms of change (51).

Theoretical underpinning of trust-building

Theories of change are critical for conducting relevant implementation research. A theory of change outlines the predicted causal linkages between the activities conducted and the expected short-term, intermediate, and long-term outcomes for the population of interest. Ideally, a theory of change will detail implementation researchers' assumptions about how and why they expect a desired change in implementation outcomes to occur in a particular context (52). The proposed theoretical model is based on findings from our previous research on trust and evidence use, which demonstrates that building trusting relationships and addressing power differentials among stakeholders may be more important than the selection of specific implementation strategies for achieving implementation outcomes (17). The theoretical model articulates (a) underlying assumptions about the competencies needed to build trusting relationships, (b) the role trusting relationships play in behavior change (16, 53), and (c) how changes in individual and team behavior can contribute to implementation efforts in the context of health services and other related service delivery settings.

Relational cohesion theory

Relational cohesion theory offers an important theoretical basis for connecting trusting relationships to successful implementation. Relational cohesion is defined as the perception by individuals in an exchange relation that their relationship is a unifying element or force in the social situation (48, 49). Such perceptions lead to higher levels of commitment and collectively oriented behavior. Relational cohesion theory emphasizes how relationships that emerge from positive affective experiences are valuable in and of themselves and contribute to trusting relationships and increased resilience and commitment in the face of challenges. Relational cohesion theory is aligned with cultural exchange theory (54), and with literature on lessons learned from implementation science on the role of partnerships and relationships. Cultural exchange relies heavily on interpersonal processes that require the development and nurturance of reciprocal perceived trust (55, 56). Palinkas et al. (57) describe cultural elements of successful partnerships including flexibility and sensitivity to the needs of individuals in the partnership, openness and honesty associated with building and maintaining trust, and humility and tolerance in service to mutualism and shared understanding of the work.

Relational cohesion theory also seeks to explain the conditions under which positive emotions are experienced within the exchange relation; it can be used to explain the conditions under which instrumental exchanges of implementation support become more affective, emotional, and meaningful to stakeholders at the implementing site and what type of activities lead to trust among implementation stakeholders.

Relational cultural theory

Relational cultural theory (50) offers additional insights about the types of strategies needed to promote positive affect and increased resilience and commitment. Relational cohesion theory also highlights the role of empathy in supporting the growth-promoting relationships needed for implementation. Specifically, relational cultural theory posits that the ability to understand the perspective of others increases a sense of mutual interdependence and leads to a positive affective response by individuals engaged in a relationship (42), which is relevant to fostering trust on implementation teams. The underlying assumptions of relational cultural theory highlight the role of empathy in producing positive relationships. These theoretical assumptions are also aligned with emerging research findings related to the role of professionals who support evidence use. For example, Metz et al. (17) identified empathy, curiosity, commitment, methodical, and transdisciplinary as core principles related to providing implementation support, with empathy having achieved the highest level of agreement among professionals surveyed about how they approach their work to support evidence use. Findings also highlighted relational strategies, including empathy-driven exchanges, open communication, and demonstrations of authenticity and vulnerability as critical for building trusting relationships. Relatedly, Bührmann et al. (40) identified seven particular attitudes or orientations for supporting implementation: professional, motivating, empathetic, collaborative, authentic, flexible and creative, and honest. Also relevant are findings from Metz and Bartley (12) where bi-directional communication among implementation stakeholders was a contributor to effective and sustainable implementation of evidence-based practices in a New York City's public child welfare system.

Although relational cohesion theory highlights the affective experiences of those involved in the exchange, it relies on technical strategies (e.g., frequent interactions, provision of expertise) to achieve the positive emotional experience and does not explicitly include relational strategies grounded in the mutuality of the exchange. Thus, pairing relational cohesion theory with relational cultural theory (50) presents a fuller picture of the types of strategies needed to promote positive affect and increased resilience and commitment. Moreover, many scholars favor viewing interpersonal trust-building as a dynamic, transactional, and interactive process that unfolds over time and across numerous interactions (7). Both relational signaling theory (7) and costly signaling theory (58) emphasize this conceptualization, highlighting how individuals seeking to build trust must continually evidence to each other their trustworthiness.

Theory of change

The proposed theory of change posits a series of action steps for ISPs that will lead to increased trust between them and implementation stakeholders and increased trust among implementation stakeholders, leading to positive and sustainable implementation outcomes. The proposed theory of change outlines the starting point for trust-building as addressing power differentials among implementation team members and stakeholders through co-creation and humility. This starting point aligns with the assumption of relational cohesion theory that productive exchanges occur when two or more people seek to jointly produce benefits they cannot achieve alone (49). Inherent in this assumption is that entering the implementation space with humility and a commitment to co-creation will be critical for building the trusting relationships needed for successful implementation and evidence use. The proposed theory of change also posits that, after addressing power differentials, a shared goal for the use of evidence can be established.

Relational and technical strategies for trust-building

The proposed theory of change includes two core mechanisms of trust-building: relational strategies and technical strategies. Relational strategies are defined as strategies undertaken to build trust through strengthening the quality, mutuality, and reciprocity of interactions among team members and implementation stakeholders. Technical strategies are defined as strategies undertaken to build trust through demonstrating the knowledge, reliability, and competency to support the goals of the team. Below we describe the assumptions of our theoretical model's focus on relational and technical strategies for building trust and explore implications of this model for implementation research and practice. Examples of how ISPs may use relational and technical strategies to build trust with and among implementation stakeholders are featured in Table 1.

TABLE 1
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Table 1. Examples of activities for trust building strategies.

Relational strategies

Implementation teams involve interdependence; thus, team members depend on each other in various ways to achieve implementation outcomes. The theory of change highlights five relational strategies grounded in relational cultural theory and cultural exchange theory that demonstrate promise for fostering trust among implementation stakeholders. These include: (1) showing vulnerability (i.e., comfort in uncertainty, risk, and emotional exposure) (59, 60); (2) approaching interactions with authenticity (i.e., openly, honestly, and in alignment with values) (12); (3) engaging in co-learning (61); (4) engaging in empathy-driven exchanges (62); and (5) using bi-directional communication (24). These relational strategies are hypothesized to contribute to positive affective responses, perceived value-add, predictability, and a safe and secure learning environment, which will promote trusting relationships among team members. A common set of skills for employing all five relational strategies include the ability to actively listen, to offer free attention, and to suspend judgement (63).

Vulnerability, the first relational strategy highlighted in the theory of change, is thought to be at the center of trust-building. Indeed, the willingness to take risks is common to situations that require trust. Trust requires the willingness of a person or group to be vulnerable to the actions of another person or group, with the expectation that the other(s) will perform a particular action important to the trustor (64). Trust is the cornerstone for effective implementation teams. Trust engenders faith that partners can rely on each other to come through on agreements and to understand—and even anticipate—each other's needs and interests (65).

Studies on emotional acknowledgment demonstrate how authentic and bi-directional communication can foster interpersonal trust. Emotional acknowledgment refers to the verbal communication by which one implementation stakeholder signals recognition of another implementation stakeholder's emotional display. Such emotional acknowledgment has been demonstrated to foster interpersonal trust (58). Research in this area is rooted in costly signaling theory (66) and suggests when one person (e.g., an implementation team member or implementation stakeholder) emotionally acknowledges another person, it signals that the person acknowledging the emotion is willing to allocate time and resources to the person expressing the emotion.

Research on emotional acknowledgment also supports the use of specific relational strategies for trust-building, including authenticity and bi-directional communication, as well as the technical strategy of responsiveness. When implementation stakeholders use these types of strategies with others, they imply a willingness to use resources in the future that will attend to the needs of other implementation stakeholders, thereby fostering trust. The bi-directionality of communication is key because communication rooted in emotion requires sense-making from both parties. In the case of implementation teams, all team members will need to engage in sense-making to see how other team members feel about specific implementation decisions the team will need to make.

Metz et al. (17, 61) describe how co-learning also contributes to trust. They explain how implementation stakeholders must communicate and listen for the purpose of mutual understanding and the collaborative integration of different perspectives and types of knowledge. As implementation stakeholders engage in co-learning processes, they negotiate and build trust and respect for all perspectives, including those that may be at risk of being excluded from dialogue because of race, ethnicity, language, or status.

Relational cultural theory conceptualizes empathy as mutual, interactive, and humanist, serving as the foundation for growth-promoting relationships. Professionals supporting implementation often describe empathy as foundational for developing trusting relationships, which aligns with how they describe their day-to-day activities building affiliation, making personal connections, and recognizing themselves as outsiders. Metz et al. (61) have described the ways leaders and staff can demonstrate empathy, including affectively attuning to stakeholders at the implementing site, balancing flexible boundaries with role clarity, demonstrating comfort in a relational context, and recognizing the impact all stakeholders have on implementation activities and decision-making.

Technical strategies

The theory of change also highlights technical strategies, grounded in structures and processes that can support implementation teams in achieving results. These include: (1) supporting frequent interactions that relational cohesion theory posits are needed for successful exchanges; (2) demonstrating a high level of responsiveness to requests; (3) demonstrating expertise that can help the team achieve results (24); and (4) planning for and achieving quick wins (67) in service to longer-term goals.

Research demonstrates that trust can be brought about through frequent and informal opportunities for contact and exchange (68), enabling individuals to engage in the risk taking, learning, and behavior change required to support implementation efforts (69). Frequent interactions can ensure that information is readily exchanged, making it possible for team members and implementation stakeholders to influence implementation decisions, thereby garnering trust in the process (70). Frequent interactions can reduce uncertainty in the implementation process and expand the amount and type of information exchanged (49). Frequent interactions can also enhance team member satisfaction with exchanges and strengthen relationships (71, 72).

Related to frequent interactions, responsiveness can promote successful exchanges among team members, leading to more “asks” from those involved in the exchange, reinforcing the positive experiences, and producing satisfaction and stronger relationships, and eventually trust. Responsiveness demonstrates flexibility. Flexibility illustrated at intrapersonal, organizational, and initiative levels can suggest that team members are prepared to respond to shifts in the work as they emerge. These qualities demonstrate sensitivity to both individual members of the team and the collective, helping to build and maintain trust (73).

Demonstrating expertise and credibility also cultivates intrapersonal trust, ensuring that individual team members share information and show behaviors that indicate reliability, competency, and commitment to the goals of the team. Responsiveness and credibility allow for team members to constantly learn from and teach one another. Organizations committed to learning are more likely to have successful partnerships in service to implementation (74, 75).

Increased credibility and perceived trustworthiness of team members can also be fostered through the attainment of quick wins. A dynamic, bi-directional relationship exists between trust and team performance, with higher levels of trust impacting team performance (8) and past team performance influencing trust within teams (76). Intentionally planning for early successes and celebrating those quick wins are critical to building trust among team members and, in turn, impacting future performance (76, 77).

Reinforcing mechanisms of relational and technical strategies and trusting relationships

As noted earlier, ISPs often emphasize high-quality relationships among implementation stakeholders as the most critical factor for achieving implementation results (46). Indeed, experienced ISPs have described how trust between themselves and stakeholders, as well as among key stakeholders, was foundational for successful implementation and the sustainability of evidence-based and evidence-informed programs and practices. Trusting relationships were described as “important,” “critical,” “essential,” and “foundational” for fostering an environment in which change efforts were optimized and sustained. Participants also emphasized how demonstrating authenticity, vulnerability, and empathy both builds trust and serves as evidence of trusting relationships. The theory of change presented in this paper highlights the cyclical relationship between the technical and relational strategies overviewed and trusting relationships, whereby strategies to cultivate trusting relationships will become more pronounced as relationships become more trusting.

The theory of change explicates how relational and technical strategies contribute to changes in behavior among implementation team members that promote positive implementation outcomes (see Figure 1 for a full visualization of the theory of change). Achieving these changes and the reinforcing cycle described above assumes that implementation team members have the capacity to use these strategies. A testable question is whether the skills needed to leverage relational strategies and build trust can be taught to and cultivated among implementation team members. Research in other fields such as business and leadership shows promise for increasing relationship-building and empathy in team leaders. For example, team leaders can use on-the-job interactions as opportunities to practice hearing ideas that differ from their own (78). Research on concepts such as psychological safety—a social condition in which team members feel included, safe to learn, safe to contribute, and safe to challenge ideas without fear of marginalization or retribution—also indicates that trust can be fostered through relational and technical strategies such as supporting bi-directional communication, increasing frequency of interactions, attaining quick wins, demonstrating empathy, inviting learning, and showing curiosity in the midst of failure (79, 80).

FIGURE 1
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Figure 1. Theoretical model for trusting relationships and implementation.

Trust, mechanisms for change, and implementation outcomes

As mentioned previously, the theory of change integrates relational cohesion theory, relational cultural theory, and implementation research findings related to mechanisms of change (43). In doing so, the theory of change shows (1) how trusting relationships can change behavior in individuals and groups and (2) how these changes in behavior can contribute to use of evidence in health services and other related service delivery settings. Specifically, the theory of change captures how trust-based relationships exert influence on potential mechanisms of change that contribute to implementation outcomes. In this case, mechanisms are the processes through which trusting relationships contribute to commitment to and resilience for implementation efforts, and consequently, sustained implementation and evidence use.

Implementation team members provide a resource for change to happen and can support the achievement of implementation outcomes including sustained use of evidence. To fully understand how fostering trust among implementation team members can contribute to implementation outcomes, it is important to explore how trusting relationships can pull the necessary levers to facilitate behavior change among implementation stakeholders. Albers, Metz, and Burke (16) developed a logic model that hypothesized how implementation support activities may contribute to behavior changes leading to evidence use incorporating the Capability-Opportunity-Motivation-Behavior (COM-B) framework (53). The logic model informs the current theory of change, in which we describe how trusting relationships can yield the three pre-conditions for behavior change: (1) capability, representing information about changes in the physical, cognitive, or psychological abilities of implementation team members; (2) opportunity for changes in the physical, social, and cultural environments where implementation planning takes place that are prompted through trusting relationships; and (3) increased motivation in team members and implementation stakeholders to collaborate and achieve implementation outcomes.

The theory of change posits that trusting relationships contribute to changes in capability, opportunity, and motivation, eventually leading to improved implementation of evidence. Findings from a recent study (2) identified central themes in how ISPs approach their work, including supporting participatory learning and engaging in co-creation with implementation team members and stakeholders. Participatory and co-creative approaches are grounded in relational work and can contribute to changes in capability, motivation, and opportunity for evidence use. We outline these points in greater detail below.

Capability

Building trusting relationships and supporting participatory learning can increase implementation team members and stakeholders' sense of capability. As team members engage in peer-to-peer support and use data for decision-making they feel empowered and capable for supporting implementation efforts. Although it is important for team members to demonstrate capability, credibility, and “added value” to each other, it is through trusting relationships that implementation team members and stakeholders engage in the co-learning needed to increase their general sense of capability.

Motivation

Building trusting relationships and engaging in co-creation can build intrinsic motivation for supporting implementation work. Recent study findings (2) described the importance of authenticity and commitment in the work of implementation team members and stakeholders, both of which can motivate all stakeholders by validating their implementation efforts. Trusting relationships among team members and stakeholders promotes the risk-taking needed for the complex work of implementation.

Opportunity

Implementation team members seek to build relationships among themselves and with additional stakeholders (25). The trusting relationships among implementation team members often represent an additional layer of support for all stakeholders, creating the opportunity needed to attend to implementation challenges. Trusting relationships create the space needed for implementation teams to meet and reflect on implementation progress and serve as thought partners for the work. Trusting relationships support communication, coordination, and collaboration, which results in denser networks and closer relationships among stakeholders. These networks and relationships can provide increased opportunities for successful implementation of evidence.

Using the COM-B framework (53) and building on the work of Albers et al. (16), we posit that relational conditions such as trusting relationships enhance implementation capability, opportunity, and motivation, thereby enabling the concrete behavior change needed by team members to commit to implementation activities, continuously improve implementation efforts, and sustain use of evidence long enough to achieve population outcomes. These assumptions align with relational cohesion theory, which suggests positive exchanges among team members lead to higher levels of commitment and collectively-oriented behavior (48).

Measurement

Taken together, the theory of change offers testable hypotheses that warrant ongoing empirical investigation, corroboration, and refinement. On this front, it will be critical to identify (or develop) and apply valid and reliable measures that capture information about key elements in the theory of change. Turning to the relational strategies outlined in the theory of change, existing scales, such as the Interpersonal Communication Assessment Scale [ICAS; (81)], possess items that tap into relevant interpersonal dynamics like high-quality communication and empathy-driven exchanges. The Individual Authenticity Measure at Work scale could also be adapted to tap into perceptions about vulnerability and authenticity of the self and others in the context of an implementation project (82). Co-learning as a relational strategy could be measured, at least in part, through use of the Self-Assessed Collaboration Skills (SACS) Instrument (83).

The technical strategies outlined in the theory of change lend themselves well to simple, investigator-developed items, particularly to measure the extent to which the attainment of quick wins is prioritized and realized, and the extent to which ISPs demonstrate relevant expertise for the project at hand. Team members could simply be asked to indicate the extent to which they agree with statements reflecting the presence of these technical strategies. Other strategies, such as frequent interactions and responsiveness, could also be measured using simple items and objectively quantified. For instance, the number of team interactions (e.g., meetings, convenings, check-in emails or phone calls) could be counted to gauge general frequency over time. Responsiveness could also be quantified in terms of how quickly, on average, ISPs provide requested materials and respond to email or other forms of communication throughout the duration of a particular implementation project.

With respect to constructs linking the relational and technical strategies with the cultivation of trusting relationships, some extant measures could prove useful. For one, there exist numerous measures of positive affective responses—such as the Positive and Negative Affect Schedule (PANAS), Subjective Happiness Scale, and Subjective Wellbeing (84)—that could be adapted to the particulars of a specific implementation project. Efforts to measure individual perceptions of the “value-add” of other team members could draw from the extensive education literature, which features relevant measures including various iterations of the Comprehensive Assessment of Team Member Effectiveness [CATME; (85)]. Researchers could also draw from observational and self-report measures of team psychological safety (86, 87) and existing measures of work predictability (88, 89).

There also exist relevant measures that aim to tap into various aspects of trusting relationships or relational cohesion. Some measures focus on the construct of interpersonal trust, enabling respondents to report on their own trustworthiness and the trustworthiness of a specific other [i.e., dyad-level trust; (90, 91)]. Some measures of trust also pertain to perceptions of trust that exist at the level of a team or group [e.g., Trusting Relationship Questionnaire; (92)]. Another family of measures relate to the construct of team cohesion, and seek to measure the nature of team relationships across several dimensions (93), including (a) task (i.e., bonding between group members that is based on a shared commitment to achieve the group's goals and objectives), (b) social (i.e., closeness and attraction within a group that is based on social relationships within the group), (c) belongingness (i.e., the degree to which members of a group are attracted to each other), (d) group pride (i.e., shared importance of being a member of the group), and (e) morale (i.e., degree of loyalty to fellow group members and willingness to endure hardship for the group).

In terms of the COM-B components in the theory of change, researchers could endeavor to identify, adapt, or develop suitable measures that match the context of a particular implementation project. Indeed, Howlett et al. (94) outline a process of mapping the particulars of a project to the COM-B components to inform the use of suitable measures—a process that could be replicated in research focused on implementation.

There is also a substantial body of literature offering suitable measures of work-related commitment [e.g., organizational commitment, occupational commitment, job involvement, work involvement, organizational withdrawal intention, occupational withdrawal intentions; (95, 96)] and work-related resilience (97). Drawing from this literature, there are promising opportunities to develop measures of resilience within the specific context of implementation work.

For cases in which measurement development is required, in-depth qualitative inquiry will be a valuable tool for mapping the conceptual landscape of some constructs outlined in the theory of change and with respect to a particular implementation project. Empirical work on this front could highlight common construct dimensions specific to implementation that could be targets for subsequent measurement development, yielding measures that could be applied in a multitude of contexts related to implementation work.

Discussion

Suboptimal outcomes in implementation are due, in large part, to the dearth of tested theory in implementation science (51). As a consequence, implementation research has been limited in its ability to effectively inform implementation practice. In the case of trusting relationships, the field of implementation practice has lifted up the importance of trust in achieving implementation outcomes. Research findings from disciplines other than implementation science, such as psychology and social work, show robust evidence for the role of trust in supporting key aspects of implementation such as developing implementation teams, conducting continuous quality improvement cycles, and supporting effective feedback loops among stakeholder groups. To improve implementation efforts, the field needs testable theories that can generate empirical, context-specific findings. The proposed theory of change presented in this paper provides well-defined strategies for promoting trust, describes logical linkages between trusting relationships and mechanisms for creating behavior change, and identifies proximal and distal outcomes theorized to result in positive implementation outcomes.

Implementation science needs to create stronger connections between implementation research and implementation practice. Gaining greater clarity on how trusting relationships affect implementation processes and outcomes will enable improved communication and collaboration between implementation researchers and implementation practitioners. Although implementation frameworks offer a basic conceptual structure for understanding implementation constructs, testable theories are needed to create more generalizable knowledge for the field and to effectively inform implementation practice. Further, more information is needed on how implementation strategies are used in various contexts and the role of trusting relationships as a moderator of implementation strategies on implementation outcomes.

The proposed theory of change presented here is emergent and requires critical review, empirical substantiation, and refinement. The assumptions of this theoretical model are currently being empirically investigated. Research on this front aims to assess the feasibility of developing and delivering a training and coaching curriculum for implementation teams and stakeholders to build trusting relationships. This work will also assess whether building trusting relationships contributes to short-term outcomes such as trusting relationships among implementation team members; capability, opportunity, and motivation; and commitment and resilience for implementation. Empirical findings generated from this work can inform future studies on trust-building aiming to address questions related to how generalizable trust-building strategies are in different service contexts, how trust can be developed when engaging the voices of people and communities most affected by implementation decisions, and whether the complexity of implementation efforts shapes the selection and impact of trust-building strategies.

In order for the field of implementation science to be rigorous and relevant, we need testable causal models and a stronger connection between implementation research and implementation practice. The theory of change presented in this paper is an example of how we can develop testable ways of explaining phenomena such as trusting relationships by specifying plausible associations between implementation strategies, mechanisms for change, and outcomes. This theory of change also strengthens connections between implementation research and practice by articulating underlying assumptions related to how trusting relationships (what is emphasized by implementation practitioners) are related to behavior change and implementation outcomes (what is measured by implementation researchers).

Data availability statement

The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.

Author contributions

AM wrote the first draft of the paper. TJ drafted additional content for the paper. AF and AB reviewed, edited the paper, and providing additional text. LB and MV served as reviewers providing feedback. All authors contributed to the article and approved the submitted version.

Funding

The development of this conceptual model is supported by the William T. Grant Foundation, Grant No. OR-202893.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher's note

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References

1. van Pelt A, Beidas RS. Future directions for providing conceptual clarity related to context in implementation comment on “Stakeholder Perspectives of Attributes and Features of Context Relevant to Knowledge Translation in Health Settings: A Multi-Country Analysis.” Int J Health Policy Manag. (2022) 11:1577–9. doi: 10.34172/ijhpm.2021.173

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Metz A, Jensen T, Farley A, Boaz A. Is implementation research out of step with implementation practice? Pathways to effective implementation support over the last decade. Implement Sci. (2022) 3. doi: 10.1177/26334895221105585

CrossRef Full Text | Google Scholar

3. Ramaswamy R, Mosnier J, Reed K, Powell BJ, Schenck AP. Building capacity for Public Health 3. 0: introducing implementation science into an MPH curriculum. Implement Sci. (2019) 14:18. doi: 10.1186/s13012-019-0866-6

PubMed Abstract | CrossRef Full Text | Google Scholar

4. McAllister DJ. Affect and cognition-based trust as foundations for interpersonal cooperation in organizations. Acad Manag Ann. (1995) 38:24–59. doi: 10.5465/256727

CrossRef Full Text | Google Scholar

5. Maiorana A, Steward WT, Koester KA, Pearson C, Shade SB, Chakravarty D, et al. Trust, confidentiality, and the acceptability of sharing HIV-related patient data: lessons learned from a mixed methods study about Health Information Exchanges. Implement Sci. (2012) 7:34. doi: 10.1186/1748-5908-7-34

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Borum R. The science of interpersonal trust: a primer. In: Mental Health Law & Policy Faculty Publications. Tampa, FL: University of South Florida (2010).

PubMed Abstract | Google Scholar

7. Six FE. Building interpersonal trust within organizations: a relational signalling perspective. J Manag Gov. (2007) 11:285–309. doi: 10.1007/s10997-007-9030-9

CrossRef Full Text | Google Scholar

8. de Jong BA, Dirks KT, Gillespie N. Trust and team performance: A meta-analysis of main effects, moderators, and covariates. J Appl Psychol. (2016) 101:1134–50. doi: 10.1037/apl0000110

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Akin BA, Brook J, Byers KD, Lloyd MH. Worker perspectives from the front line: implementation of evidence-based interventions in child welfare settings. J Child Fam Stud. (2016) 25:870–82. doi: 10.1007/s10826-015-0283-7

CrossRef Full Text | Google Scholar

10. Hurlburt M, Aarons GA, Fettes D, Willging C, Gunderson L, Chaffin MJ. Interagency Collaborative Team model for capacity building to scale-up evidence-based practice. Child Youth Serv Rev. (2014) 39:160–8. doi: 10.1016/j.childyouth.2013.10.005

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Bunger AC, Hanson RF, Doogan NJ, Powell BJ, Cao Y, Dunn J. Can learning collaboratives support implementation by rewiring professional networks? Adm Policy Ment Health. (2016) 43:79–92. doi: 10.1007/s10488-014-0621-x

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Metz A, Bartley L. Co-creating the conditions to sustain the use of research evidence in public child welfare. Special Issue: Improving the Use and Usefulness of Research Evidence. (2015) 94:115–40.

Google Scholar

13. Beidas RS, Edmunds JM, Cannuscio CC, Gallagher M, Downey MM, Kendall PC. Therapists Perspectives on the Effective Elements of Consultation Following Training. Adm Policy Ment Health. (2013) 40:507–17. doi: 10.1007/s10488-013-0475-7

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Nadeem E, Gleacher A, Beidas RS. Consultation as an implementation strategy for evidence-based practices across multiple contexts: unpacking the black box. Adm Policy Ment Health. (2013) 40:439–50. doi: 10.1007/s10488-013-0502-8

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Boaz A, Metz A. Engaging stakeholders in implementation of evidence-based programs. In: Zimmerman E, editor. Researching Health Together. Thousand Oaks, CA: SAGE. (2020).

16. Albers B, Metz A, Burke K. Implementation support practitioners – a proposal for consolidating a diverse evidence base. BMC Health Serv Res. (2020) 20:368. doi: 10.1186/s12913-020-05145-1

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Metz A, Albers B, Burke K, Bartley L, Louison L, Ward C, et al. Implementation practice in human service systems: understanding the principles and competencies of professionals who support implementation. Hum Serv Organ Manag Leadersh Gov. (2021) 45:238–59. doi: 10.1080/23303131.2021.1895401

CrossRef Full Text | Google Scholar

18. Bacharach M, Gambetta D. Trust in Signs. In: Cook K, editor. Trust in society. New York: Russel Sage Foundation. (2001). p. 148–84.

19. Bottom WP, Gibson K, Daniels SE, Murnighan JK. When talk is not cheap: substantive penance and expressions of intent in rebuilding cooperation. Organizat Sci. (2002) 13:497–513. doi: 10.1287/orsc.13.5.497.7816

CrossRef Full Text | Google Scholar

20. Harden R. Trust and Trustworthiness. New York: Russel Sage Foundation. (2002).

Google Scholar

21. Kramer RM. Trust and distrust in organizations: emerging perspectives, enduring questions. Annu Rev Psychol. (1999) 50:569–98. doi: 10.1146/annurev.psych.50.1.569

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Pillutla MM, Malhotra D, Keith Murnighan J. Attributions of trust and the calculus of reciprocity. J Exp Soc Psychol. (2003) 39:448–55. doi: 10.1016/S0022-1031(03)00015-5

CrossRef Full Text | Google Scholar

23. Weber MJ, Malhotra D, Murnighan KJ. Normal acts of irrational trust: motivated attributions and the trust development process. Res Organ Behav. (2005) 26:75–101. doi: 10.1016/S0191-3085(04)26003-8

CrossRef Full Text | Google Scholar

24. Palinkas LA, Soydan H. Translation and Implementation of Evidence-Based Practice. Oxford: Oxford University Press. (2011). doi: 10.1093/acprof:oso/9780195398489.001.0001

CrossRef Full Text | Google Scholar

25. Metz A, Bartley L. Implementation Teams: A Stakeholder View of Leading and Sustaining Change. In: Albers B, Schlonsky A, Mildon R, editors. Implementation Science 30. Springer. (2020). p. 199–225. doi: 10.1007/978-3-030-03874-8_8

CrossRef Full Text | Google Scholar

26. Chou LF, Wang AC, Wang TY, Huang MP, Cheng BS. Shared work values and team member effectiveness: the mediation of trustfulness and trustworthiness. Human Relat. (2008) 61:1713–42. doi: 10.1177/0018726708098083

CrossRef Full Text | Google Scholar

27. Costa AC. Work team trust and effectiveness. Personnel Rev. (2003) 32:605–22. doi: 10.1108/00483480310488360

CrossRef Full Text | Google Scholar

28. Parker SK, Williams HM, Turner N. Modeling the antecedents of proactive behavior at work. J Appl Psychol. (2006) 91:636–52. doi: 10.1037/0021-9010.91.3.636

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Howorth C, Westhead P, Wright M. Buyouts, information asymmetry and the family management dyad. J Bus Ventur Insights. (2004) 19:509–34. doi: 10.1016/j.jbusvent.2003.04.002

CrossRef Full Text | Google Scholar

30. Williams CC. Trust diffusion: the effect of interpersonal trust on structure, function, and organizational transparency. Busi Society. (2005) 44:357–68. doi: 10.1177/0007650305275299

CrossRef Full Text | Google Scholar

31. Bogenrieder I, Nooteboom B. Learning groups: what types are there? A theoretical analysis and an empirical study in a consultancy firm. Organ Sci. (2004) 25:287–313. doi: 10.1177/0170840604040045

CrossRef Full Text | Google Scholar

32. Langfred CW. The downside of self-management: a longitudinal study of the effects tf conflict on trust, autonomy, and task interdependence in self-managing teams. Acad Manag Ann. (2007) 50:885–900. doi: 10.5465/amj.2007.26279196

CrossRef Full Text | Google Scholar

33. Hassan M, Toylan NV, Semerciöz F, Aksel I. Interpersonal trust and its role in organizations. Int Bus Res. (2012) 5. doi: 10.5539/ibr.v5n8p33

CrossRef Full Text | Google Scholar

34. Balliet D, van Lange PAM. Trust, conflict, and cooperation: a meta-analysis. Psychol Bull. (2013) 139:1090–112. doi: 10.1037/a0030939

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Hempel PS, Zhang ZX, Tjosvold D. Conflict management between and within teams for trusting relationships and performance in China. J Organ Behav. (2009) 30:41–65. doi: 10.1002/job.540

CrossRef Full Text | Google Scholar

36. Joshi A, Roh H. The role of context in work team diversity research: a meta-analytic review. Acad Manag Ann. (2009) 52:599–627. doi: 10.5465/amj.2009.41331491

CrossRef Full Text | Google Scholar

37. Langfred C. Too much of a good thing? negative effects of high trust and individual autonomy in self-managing teams. Acad Manag Ann. (2004) 47:385–99. doi: 10.5465/20159588

CrossRef Full Text | Google Scholar

38. Walumbwa FO, Luthans F, Avey JB, Oke A. Authentically leading groups: The mediating role of collective psychological capital and trust. J Organ Behav. (2011) 32:4–24. doi: 10.1002/job.653

CrossRef Full Text | Google Scholar

39. Albers B, Metz A, Burke K, Bührmann L, Bartley L, Driessen P, et al. Implementation support skills: findings from a systematic integrative review. Res Soc Work Pract. (2021) 31:147–70. doi: 10.1177/1049731520967419

CrossRef Full Text | Google Scholar

40. Bührmann L, Driessen P, Metz A, Burke K, Bartley L, Varsi C, et al. Knowledge and attitudes of Implementation Support Practitioners—Findings from a systematic integrative review. PLOS ONE. (2022) 17. doi: 10.1371/journal.pone.0267533

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Black AT, Steinberg M, Chisholm AE, Coldwell K, Hoens AM, Koh JC, et al. Building capacity for implementation—the KT Challenge. Implement Sci. (2021) 2:84. doi: 10.1186/s43058-021-00186-x

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Leeman J, Birken SA, Powell BJ, Rohweder C, Shea CM. Beyond “implementation strategies”: classifying the full range of strategies used in implementation science and practice. Implement Sci. (2017) 12:125. doi: 10.1186/s13012-017-0657-x

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Moore JE, Rashid S, Park JS, Khan S, Straus SE. Longitudinal evaluation of a course to build core competencies in implementation practice. Implement Sci. (2018) 13:106. doi: 10.1186/s13012-018-0800-3

PubMed Abstract | CrossRef Full Text | Google Scholar

44. Powell BJ, Waltz TJ, Chinman MJ, Damschroder LJ, Smith JL, Matthieu MM, et al. A refined compilation of implementation strategies: results from the Expert Recommendations for Implementing Change (ERIC) project. Implement Sci. (2015) 10:21. doi: 10.1186/s13012-015-0209-1

PubMed Abstract | CrossRef Full Text | Google Scholar

45. Proctor E, Silmere H, Raghavan R, Hovmand P, Aarons G, Bunger A, et al. Outcomes for implementation research: conceptual distinctions, measurement challenges, and research agenda. Adm Policy Ment Health. (2011) 38:65–76. doi: 10.1007/s10488-010-0319-7

PubMed Abstract | CrossRef Full Text | Google Scholar

46. Metz A, Boaz A, Jensen T, Farley A, Bartley L. Are relationships as important as strategies for successful implementation of evidence-informed programs and practices? Transform Evid. (2020).

47. Olmos-Ochoa TT, Ganz DA, Barnard JM, Penney L, Finley EP, Hamilton AB, et al. Sustaining implementation facilitation: a model for facilitator resilience. Implement Sci Communicat. (2021) 2:65. doi: 10.1186/s43058-021-00171-4

PubMed Abstract | CrossRef Full Text | Google Scholar

48. Lawler EJ, Yoon J. Commitment in exchange relations: test of a theory of relational cohesion. Am Sociol Rev. (1996) 61:89. doi: 10.2307/2096408

CrossRef Full Text | Google Scholar

49. Thye SR, Yoon J, Lawler EJ. The theory of relational cohesion: review of a research program. Adv Group Process. (2002) 30:139–66. doi: 10.1016/S0882-6145(02)19006-0

PubMed Abstract | CrossRef Full Text | Google Scholar

50. Freedberg S. Re-examining empathy: a relational–feminist point of view. Social Work (Stellenbosch). (2007) 52:251–9. doi: 10.1093/sw/52.3.251

PubMed Abstract | CrossRef Full Text | Google Scholar

51. Lewis CC, Klasnja P, Powell BJ, Lyon AR, Tuzzio L, Jones S, et al. From classification to causality: advancing understanding of mechanisms of change in implementation science. Public Health Front. (2018) 6. doi: 10.3389/fpubh.2018.00136

PubMed Abstract | CrossRef Full Text | Google Scholar

52. Kainz K, Metz A, Yazejian N. Tools for evaluating the implementation of complex education interventions. Am J Evaluat. (2021) 42:399–414. doi: 10.1177/1098214020958490

CrossRef Full Text | Google Scholar

53. Michie S, van Stralen MM, West R. The behaviour change wheel: A new method for characterising and designing behaviour change interventions. Implement Sci. (2011) 6:42. doi: 10.1186/1748-5908-6-42

PubMed Abstract | CrossRef Full Text | Google Scholar

54. Palinkas LA, Aarons GA, Chorpita BF, Hoagwood K, Landsverk J, Weisz JR. Cultural exchange and the implementation of evidence-based practices. Res Soc Work Pract. (2009) 19:602–12. doi: 10.1177/1049731509335529

PubMed Abstract | CrossRef Full Text | Google Scholar

55. Brinkerhoff JM. Government-nonprofit partnership: a defining framework. Public Adm Dev. (2002) 22:19–30. doi: 10.1002/pad.203

CrossRef Full Text | Google Scholar

56. Muthusamy SK, White MA. Learning and knowledge transfer in strategic alliances: a social exchange view. Organization Stud. (2005) 26:415–41. doi: 10.1177/0170840605050874

CrossRef Full Text | Google Scholar

57. Palinkas LA, He AS, Choy-Brown M, Hertel AL. Operationalizing social work science through research–practice partnerships. Res Soc Work Pract. (2017) 27:181–8. doi: 10.1177/1049731516666329

CrossRef Full Text | Google Scholar

58. Yu A, Berg JM, Zlatev JJ. Emotional acknowledgment: how verbalizing others' emotions fosters interpersonal trust. Organ Behav Hum Decis Process. (2021) 164:116–35. doi: 10.1016/j.obhdp.2021.02.002

CrossRef Full Text | Google Scholar

59. Brown B. Daring Greatly: How the Courage to Be Vulnerable Transforms the Way We Live, Love, Parent, and Lead. New York: Avery. (2015).

Google Scholar

60. Johnson S. Attachment theory in practice: emotionally focused therapy with individuals, couples, and families. New York: The Guilford Press. (2019).

Google Scholar

61. Metz A, Burke K, Albers B, Louison L, Bartley L. A Practice Guide for Supporting Implementation: What Competencies Do We Need? Chapel Hill. (2020).

Google Scholar

62. Meinel K. Empathy via design thinking: creation of sense and knowledge. In: Plattner H, Meinel C, Leifer L, editors. Design Thinking Research: Building Innovators. Stanford: Center for Design Research. (2015). p. 15–28. doi: 10.1007/978-3-319-06823-7_2

CrossRef Full Text | Google Scholar

63. Wiseman T. A concept analysis of empathy. J Adv Nurs. (1996) 23:1162–7. doi: 10.1046/j.1365-2648.1996.12213.x

PubMed Abstract | CrossRef Full Text | Google Scholar

64. Mayer RC, Davis JH, Schoorman FD. An integrative model of organizational trust. Acad Manage Rev. (1995) 20:709–34. doi: 10.2307/258792

CrossRef Full Text | Google Scholar

65. Tseng V, Easton JQ, Supplee LH. Research-practice partnerships: building two-way streets of engagement. Social Policy Report. (2017) 30. doi: 10.1002/j.2379-3988.2017.tb00089.x

PubMed Abstract | CrossRef Full Text | Google Scholar

66. Zahavi A. Mate selection—a selection for a handicap. J Theor Biol. (1975) 53:205–14. doi: 10.1016/0022-5193(75)90111-3

PubMed Abstract | CrossRef Full Text | Google Scholar

67. Meyers C, Hitt DH. Planning for school turnaround in the United States: an analysis of the quality of principal-developed quick wins. Sch Eff Sch Improv. (2018) 29:362–82. doi: 10.1080/09243453.2018.1428202

CrossRef Full Text | Google Scholar

68. Farrell CC, Coburn CE. Absorptive capacity: a conceptual framework for understanding district central office learning. J Educat Chang. (2017) 18:135–59. doi: 10.1007/s10833-016-9291-7

CrossRef Full Text | Google Scholar

69. Dovey K. The role of trust in innovation. Learn Organizat. (2009) 16:311–25. doi: 10.1108/09696470910960400

CrossRef Full Text | Google Scholar

70. Bogenschneider K, Corbett T. Evidence-based Policymaking: Insights from Policy-minded Researchers and Research-minded Policymakers. Abingdon: Routledge. (2010).

Google Scholar

71. Byrne D, Clore GL, Smeaton G. The attraction hypothesis: do similar attitudes affect anything? J Pers Soc Psychol. (1986) 51:1167–70. doi: 10.1037/0022-3514.51.6.1167

CrossRef Full Text | Google Scholar

72. Lawler EJ. Power processes in bargaining. Sociol Q. (1992) 33:17–34. doi: 10.1111/j.1533-8525.1992.tb00361.x

CrossRef Full Text | Google Scholar

73. Palinkas LA, Horwitz SM, Green CA, Wisdom JP, Duan N, Hoagwood K. Purposeful sampling for qualitative data collection and analysis in mixed method implementation research. Adm Policy Ment Health. (2015) 42:533–44. doi: 10.1007/s10488-013-0528-y

PubMed Abstract | CrossRef Full Text | Google Scholar

74. Clancy CM, Margolis PA, Miller M. Collaborative networks for both improvement and research. Pediatrics. (2013) 131:S210–4. doi: 10.1542/peds.2012-3786H

PubMed Abstract | CrossRef Full Text | Google Scholar

75. Shaw JS, Norlin C, Gillespie RJ, Weissman M, McGrath J. The national improvement partnership network: state-based partnerships that improve primary care quality. Acad Pediatr. (2013) 13:S84–94. doi: 10.1016/j.acap.2013.04.001

PubMed Abstract | CrossRef Full Text | Google Scholar

76. Jaakson K, Reino A, McClenaghan PB. The space between – linking trust with individual and team performance in virtual teams. Team Perform. Manag. (2019) 25:30–46. doi: 10.1108/TPM-03-2018-0024

CrossRef Full Text | Google Scholar

77. Coovert M, Miller E Jr. W. Assessing trust and effectiveness in virtual teams: latent growth curve and latent change score models. Social Sci. (2017) 6. doi: 10.3390/socsci6030087

CrossRef Full Text | Google Scholar

78. Goleman D. The emotional intelligence of leaders. Leader to Leader. (1998) 1998:20–6. doi: 10.1002/ltl.40619981008

CrossRef Full Text | Google Scholar

79. Clark TR. The 4 Stages of Psychological Safety: Defining the Path to Inclusion and Innovation. Oakland: Berrett-Koehler Publishers. (2020).

Google Scholar

80. Edmondson A. The Fearless Organization: Creating Psychological Safety in the Workplace for Learning, Innovation, and Growth. Hoboken: John Wiley & Sons. (2018).

Google Scholar

81. Klakovich MD. dela Cruz FA. Validating the interpersonal communication assessment scale. J Prof Nurs. (2006) 22:60–7. doi: 10.1016/j.profnurs.2005.12.005

PubMed Abstract | CrossRef Full Text | Google Scholar

82. van den Bosch R, Taris TW. Authenticity at work: development and validation of an individual authenticity measure at work. J Happiness Stud. (2014) 15:1–18. doi: 10.1007/s10902-013-9413-3

CrossRef Full Text | Google Scholar

83. Hinyard L, Toomey E, Eliot K, Breitbach A. Student perceptions of collaboration skills in an interprofessional context: development and initial validation of the self-assessed collaboration skills instrument. Eval Health Prof. (2019) 42:450–72. doi: 10.1177/0163278717752438

PubMed Abstract | CrossRef Full Text | Google Scholar

84. Lyubomirsky S, King L, Diener E. The benefits of frequent positive affect: does happiness lead to success? Psychol Bull. (2005) 131:803–55. doi: 10.1037/0033-2909.131.6.803

PubMed Abstract | CrossRef Full Text | Google Scholar

85. Ohland MW, Loughry ML, Woehr DJ, Bullard LG, Felder RM, Finelli CJ, et al. The comprehensive assessment of team member effectiveness: development of a behaviorally anchored rating scale for self- and peer evaluation. Acad Manag Learn Educ. (2012) 11:609–30. doi: 10.5465/amle.2010.0177

CrossRef Full Text | Google Scholar

86. Edmondson A. Psychological safety and learning behavior in work teams. Adm Sci Q. (1999) 44:350–83. doi: 10.2307/2666999

CrossRef Full Text | Google Scholar

87. O'Donovan R, McAuliffe E. Exploring psychological safety in healthcare teams to inform the development of interventions: combining observational, survey and interview data. BMC Health Serv Res. (2020) 20:810. doi: 10.1186/s12913-020-05646-z

PubMed Abstract | CrossRef Full Text | Google Scholar

88. Caniëls MCJ, de Jong JP, Sibbel H. The curvilinear relation between work predictability and creativity. Creativity Res J. (2021) 1–16. doi: 10.1080/10400419.2021.1994204

CrossRef Full Text | Google Scholar

89. Smith CS, Tisak J, Hahn SE, Schmieder RA. The measurement of job control. J Organ Behav. (1997) 18:225–37. doi: 10.1002/(SICI)1099-1379(199705)18:3<225::AID-JOB797>3.0.CO;2-E

CrossRef Full Text | Google Scholar

90. Costa AC, Anderson N. Measuring trust in teams: Development and validation of a multifaceted measure of formative and reflective indicators of team trust. Eur J Work Organ Psychol. (2011) 20:119–54. doi: 10.1080/13594320903272083

CrossRef Full Text | Google Scholar

91. Evans AM, Revelle W. Survey and behavioral measurements of interpersonal trust. J Res Pers. (2008) 42:1585–93. doi: 10.1016/j.jrp.2008.07.011

CrossRef Full Text | Google Scholar

92. Mustillo SA, Dorsey S, Farmer EMZ. Quality of relationships between youth and community service providers: reliability and validity of the trusting relationship questionnaire. J Child Fam Stud. (2005) 14:577–90. doi: 10.1007/s10826-005-7189-8

PubMed Abstract | CrossRef Full Text | Google Scholar

93. Salas E, Grossman R, Hughes AM, Coultas CW. Measuring team cohesion. Int J Hum Factors Ergon. (2015) 57:365–74. doi: 10.1177/0018720815578267

PubMed Abstract | CrossRef Full Text | Google Scholar

94. Howlett N, Schulz J, Trivedi D, Troop N, Chater AA. prospective study exploring the construct and predictive validity of the COM-B model for physical activity. J Health Psychol. (2019) 24:1378–91. doi: 10.1177/1359105317739098

PubMed Abstract | CrossRef Full Text | Google Scholar

95. Blau G, Paul A, John N. On developing a general index of work commitment. J Vocat Behav. (1993) 42:298–314. doi: 10.1006/jvbe.1993.1021

CrossRef Full Text | Google Scholar

96. Hackett RD, Lapierre LM, Hausdorf PA. Understanding the Links between Work Commitment Constructs. J Vocat Behav. (2001) 58:392–413. doi: 10.1006/jvbe.2000.1776

PubMed Abstract | CrossRef Full Text | Google Scholar

97. Bryan C, O'Shea D, MacIntyre T. Stressing the relevance of resilience: a systematic review of resilience across the domains of sport and work. Int Rev Sport Exerc Psychol. (2019) 12:70–111. doi: 10.1080/1750984X.2017.1381140

CrossRef Full Text | Google Scholar

Keywords: implementation science, implementation practice, trust, relationships, theory of change

Citation: Metz A, Jensen T, Farley A, Boaz A, Bartley L and Villodas M (2022) Building trusting relationships to support implementation: A proposed theoretical model. Front. Health Serv. 2:894599. doi: 10.3389/frhs.2022.894599

Received: 11 March 2022; Accepted: 08 August 2022;
Published: 23 September 2022.

Edited by:

Erin P. Finley, VA Greater Los Angeles Healthcare System, United States

Reviewed by:

Sarah E. Parker, Virginia Tech, United States
Marie-Therese Schultes, University of Zurich, Switzerland

Copyright © 2022 Metz, Jensen, Farley, Boaz, Bartley and Villodas. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Allison Metz, Allison.metz@unc.edu

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.