Speech sound disorders (SSDs) are among the most common communication disorders in early childhood, affecting approximately 8%-9% of preschool-aged children [1]. SSDs comprise a heterogeneous set of developmental difficulties in speech sound production, including phonological impairment, childhood apraxia of speech (CAS), childhood dysarthria, and articulation impairment, which differ in terms of underlying mechanisms and treatment approaches [2-5]. These challenges are described alongside phonological (linguistic) and motor speech (speech-motor planning, programming, or execution) dimensions [6,7]. Children with SSDs are at increased risk of language and literacy difficulties in later life [8,9]. Persistent speech errors are associated with social–emotional challenges and decreased participation within social and academic contexts [10].

In South Korea, SSDs comprise 44.1% of speech-language service caseloads, and children aged 4 to 7 years comprise approximately half of these cases [11]. Services are delivered in individual one-on-one sessions scheduled on a regular weekly basis, with children typically working with the same speech-language pathologist (SLP) across sessions to support treatment continuity. Parents are involved through brief consultations before or after therapy. These consultations last approximately 10 minutes and focus on reviewing session content and assigning home-based practice. Direct parent participation during therapy sessions is uncommon in many clinical settings, and parental involvement is therefore primarily structured through postsession consultations and home practice guidance. Coordinating therapy implementation within the home environment has become a crucial component of service delivery [12].

Clinical assessments use standardized tools that quantify speech accuracy and severity based on age-referenced norms [13]. Moreover, intervention approaches differ according to diagnostic subtype [5,14]. For example, contrast-based linguistic interventions address phonological impairments [14,15], targeting the reorganization of the phonological system [14,16]; meanwhile, CAS requires motor-based treatment targeting speech planning and sequencing [17,18], focused on accuracy and consistency of motor plans [17,19]. However, standardized assessment tools used in routine clinical settings often provide limited differentiation among SSD subtypes [20,21]. Consequently, in routine service contexts, children are broadly characterized by functional speech sound difficulties, and standardized subtype classification is not documented [22-24]. A key therapeutic objective is to promote generalization from trained stimuli to functional speech use across linguistic units and everyday communication contexts [25-27]. Achieving this generalization requires sufficient practice intensity [26,28].

Evidence suggests that high-intensity interventions—particularly those with increased session frequency and higher practice dose—may facilitate efficient gains associated with generalization [14,28]. However, sustaining high-intensity intervention in routine services is challenging owing to contextual constraints such as limited therapist availability, scheduling demands, and caregiver burden, contributing to the gap between evidence and practice [28-30]. Thus, extending practice opportunities beyond clinic-based intervention is important for supporting generalization [26,28].

SLPs collaborate with parents to extend clinic-based intervention into home-based contexts [31,32]. While relationship-based approaches consider family-specific constraints [31], several barriers hinder consistent home-based practice. Parents frequently face logistical demands, lack of readiness, and experience uncertainty regarding specific roles or activities [33]. Monitoring and supporting home-based practice across contexts are challenging for clinicians [34]. Consequently, clinical practice lacks a structured framework for defining participant roles, facilitating systematic interaction, and providing clear therapeutic guidance [35,36].

Scholars have discussed digital technologies in speech sound intervention as potential tools for alleviating spatiotemporal constraints and extending therapy continuity and practice intensity beyond the clinic into home-based contexts [37,38]. Prior research has mainly focused on their functional utility, including support for child engagement, intervention intensity, and associated outcomes [39-41]. However, research on digitally mediated collaboration among SLPs, parents, and children remains limited [41] and lacks a systematic examination of the organization and maintenance of digitally mediated collaboration under home constraints, including barriers to caregiver participation [42,43]. Studies on telepractice and remote service delivery have reported that digital technologies can enhance flexibility and accessibility and may expand opportunities for collaboration [43,44]. Challenges in rapport building and inequities in technology access may constrain participation [42,45]. These findings highlight the need to investigate the contribution of digitally mediated conditions to collaborative processes in pediatric speech sound intervention [41]. Prior research has highlighted the importance of collaboration between SLPs and parents in pediatric SSD intervention [31,32,46], which facilitates information exchange regarding children’s status while enabling the codevelopment of individualized treatment plans [31]. Speech sound objectives relevant to children’s daily life can be identified, and intervention strategies can be tailored [31,47]. Scholars have proposed realist-informed frameworks, such as preliminary program theory, for outlining the influence of contextual factors on collaborative practice [46].

Nevertheless, the SSD literature has frequently described collaboration in terms of discrete components, mechanisms, or facilitating and constraining conditions [31,32,46]. Existing studies offer limited guidance on the organization and maintenance of collaboration within clinical and home-based settings [31,46]. Qualitative studies have indicated that parents’ understanding of their roles and engagement in home-based practice may change during service engagement in response to family routines, competing demands, and ongoing interactions with services [33,36,48]. Few studies have examined the evolution of collaborative processes among SLPs, parents, and children over time. Moreover, research has paid limited attention to the implementation of collaborative processes and their role in sustained home-based practice and speech sound generalization [31,33,46]. Thus, a process-oriented examination is required to elucidate how collaboration is sustained across contexts.

This study aims to examine the enactment and organization of collaboration between SLPs and parents in everyday clinical settings for pediatric SSD intervention involving children with heterogeneous speech sound difficulties. It identifies the roles, interactions, and conditions that influence collaboration across SLP sessions and home practice. It examines children’s participation through SLP and parent narratives, focusing on how children are positioned within collaborative processes. Based on interview data on collaborative experiences, the study aims to develop an empirically grounded conceptual account of how collaboration is organized in relation to speech sound generalization.

This qualitative study adopted a Strauss and Corbin–oriented grounded theory (GT) approach to examine real-world interactions among SLPs, parents, and children across clinical and home settings in pediatric speech sound intervention [49]. Analysis focused on interactional processes and contextual constraints through which collaboration was enacted across clinical and home-based contexts [31]. Semistructured interviews were conducted with 10 parents of children with SSDs and 12 SLPs. Children were not directly interviewed because of age and speech-language limitations [50]. The study examined children’s participation as described by parents and SLPs during interviews. Data collection and analysis proceeded iteratively using constant comparative methods. Analysis informed subsequent data collection and sampling, enabling the elaboration and refinement of emerging concepts [49]. Consistent with Strauss and Corbin’s GT, this study maintained a systematic analytic framework while enabling interpretive flexibility during analysis [49,51]. It used multiple strategies to enhance rigor, including analyst triangulation, member checking, and peer debriefing [51]. The first author, who conducted the interviews and led the analysis, is a PhD candidate in human–computer interaction with training in qualitative research. The research team included members with backgrounds in speech-language pathology and digital health. Analytic memos and team discussions were used to examine emerging interpretations. The reporting of this qualitative study was guided by the COREQ (Consolidated Criteria for Reporting Qualitative Research) checklist (Multimedia Appendix 1).

The study used purposive sampling to recruit participants with various clinical experiences, service settings, and levels of involvement in pediatric speech sound intervention. SLPs and parents were independently recruited through social media platforms (eg, Instagram) and online communities. In the initial phase of recruitment, 10 SLPs and 8 parents from Seoul and surrounding metropolitan regions in South Korea were recruited.

Eligible parents were primary caregivers of children aged 4 to 7 years receiving speech-language therapy (SLT) for functional speech sound difficulties, including those formally diagnosed with SSD or clinically identified by certified SLPs. These children were currently undergoing or had completed professional SLT within the past 3 months. To focus on functional SSDs, cases involving identifiable organic or neurological conditions—including cleft palate, hearing impairment, intellectual disability, cerebral palsy, autism spectrum disorder, or chromosomal abnormalities—were excluded [2,3,52]. Most children were receiving face-to-face SLT at the time of the interviews, although 1 case involved remote service delivery. Diagnostic information was obtained from available clinical records provided by parents. Available documentation varied across cases; 5 cases included percentage of consonants correct indicators. Additionally, as supplementary information on functional speech intelligibility, Intelligibility in Context Scale scores were collected for all children (range: 2.29-4.29). Standardized subtype classification (eg, phonological vs motor-based subtypes), standard scores for speech production tests, and oral motor assessment results were not routinely documented in clinical records. Information about specific treatment approaches was not documented in the available clinical records. Eligible SLPs were required to have treated at least 5 children with SSDs. All participants were informed of the study objectives and procedures and provided written informed consent electronically via a secure online platform.

Data collection and analysis proceeded concurrently [49]. Guided by emerging analytic categories, the second phase of the recruitment was conducted using theoretical sampling [49,51]. Two SLP–parent dyads (2 SLPs and 2 parents) were recruited through snowball sampling. The members of both dyads were engaged in ongoing therapy with the same child, thus enabling examination of the alignment and negotiation of collaborative expectations within shared therapeutic contexts. The SLPs recommended parents who were eligible to participate.

Data were collected between June and August 2024 using semistructured, in-depth interviews. Interview guides were developed based on the study aims and refined through pilot testing. They were further tailored using prequestionnaire responses and revised in response to ongoing analysis, consistent with the GT methodology [53]. Early interviews broadly explored collaborative practices, while later interviews incorporated focused questions to elaborate and refine emerging themes [49,53]. A brief preonline questionnaire collected contextual information, including parental level of education, session frequency, presence of home practice assignments, and perceived importance of home practice.

Individual interviews with SLPs and parents were conducted by the first author and lasted approximately 60 to 90 minutes. Interviews were conducted in a one-on-one format to support confidentiality and minimize response biases. No prior relationships existed between the interviewer and participants. Interviews were held at locations preferred by the participants, including homes, therapy rooms, and meeting spaces. Participants were informed that the study focused on collaborative practices in pediatric SLT. They were asked to describe their children’s participation and interactions during therapy and home-based practice.

All interviews were audio-recorded and transcribed using an automatic speech recognition tool (Clova Note; NAVER Corporation), followed by manual verification. The first author took field notes to capture contextual details and nonverbal cues. Analytic memos were taken during and after the interviews to document emerging themes and inform subsequent data collection and analysis [49]. Videos and photographs were shown during interviews for contextual illustration only, but were neither collected nor analyzed due to child privacy considerations.

Follow-up interviews were conducted via videoconferencing (Zoom; Zoom Communications Inc) or email when clarification was required during analysis. Data collection continued until theoretical saturation was reached, defined as the point at which additional data no longer contributed to the elaboration of categories and their relationships [51]. Multimedia Appendix 2 outlines the initial interview protocols, originally developed in Korean and translated into English summary tables for reporting.

Data analysis followed Strauss and Corbin’s GT approach using open, axial, and selective coding with constant comparison [49]. Data analysis and collection were conducted simultaneously, enabling emerging concepts to inform analytic focus [49,53].

During open coding, interview transcripts and field notes were examined per line to identify actions, interactions, and conditions [49]. Analytic memos documented emerging concepts and supported comparison across interviews. To calibrate analytic focus and coding boundaries, 3 researchers independently coded 2 interview transcripts (1 with a parent and 1 with an SLP) and engaged in analytic discussions. This process resulted in an initial set of open codes and provisional categories (Multimedia Appendix 3). The analytic coding framework was used as a working tool and iteratively revised as categories were compared, integrated, and elaborated through team discussion.

Axial coding focused on relating categories to subcategories by examining relationships among conditions, action/interaction strategies, and consequences. A paradigm model was used as an analytic tool for organizing these relationships [49,51]. Comparisons across participant groups (SLPs and parents) and contexts (clinical and home-based settings) supported refinement of the properties and dimensions of the categories.

Selective coding included the integration of categories around a core category representing the central collaborative process [49]. Categories were integrated to examine coherence and explanatory adequacy. Data from SLP–parent dyads were used to examine whether these relationships were sustained across shared therapeutic experiences, further refining the core category.

Children’s participation was analyzed through SLP and parent narratives, focusing on adults’ descriptions of guiding children in participation and the enactment of children’s behaviors and expressions during adult–child interactions. Atlas.ti (ATLAS.ti Scientific Software Development GmbH) supported initial coding and management of coded excerpts. Excel (Microsoft Corporation) was used to document the evolving coding framework and track analytic decisions during team discussions.

This study received ethical approval from the Yonsei University Institutional Review Board (number 7001988-202406 -HR-2290-03). Participants provided informed consent and were assured of their right to withdraw at any time without penalty. Data were anonymized and stored securely on an encrypted server. The participants received monetary compensation for their participation.

The study recruited 22 participants (10 parents of children with SSDs and 12 SLPs). Among the parents, 7 (70%) and 3 (30%) were aged in their 30s and 40s, respectively, while 6 (60%) and 4 (40%) resided in Seoul and nearby metropolitan areas, respectively. Regarding education, 1 (10%), 6 (60%), and 3 (30%) completed high school, a bachelor’s degree, and a master’s degree, respectively.

The children were evenly split by gender (boys: 5/10, 50%; girls: 5/10, 50%) and aged 4 to 6 years, with 5 (50%), 2 (20%), and 3 (30%) aged 4, 5, and 6 years, respectively. Intelligibility in Context Scale scores (5-point parent-rated scale) ranged from 2.29 to 4.29. Among 5 cases with available percentage of consonants correct data, values ranged from 70.83% to 90.69%. Clinical records lacked diagnostic subtype classification; therefore, cases were described as functional speech sound difficulties. Service settings included hospital-based centers, private clinics, and 1 case of home-based therapy. The duration of therapy was less than 1 year for 3 (30%) children, 1-2 years for 4 (40%), and more than 2 years for 3 (30%). Eight children were actively receiving intervention, while 2 had completed intervention within the past 3 months. All children received SLT once or twice per week. Eight parents reported receiving home assignments; 2 reported none. Most parents reported inconsistent home practice because of time constraints; 1 reported consistent implementation. All parents perceived home practice as influencing therapy outcomes, while 3 described it as crucial. Information on specific therapy methods was obtained during parent interviews, as it was unavailable in clinical records.

Among the SLPs, 8 (67%) were aged in their 20s, 2 (17%) were in their 30s, and 2 (17%) were in their 40s. The majority worked in private clinics (7/12, 58%) or hospital-based centers (5/12, 42%), held a master’s degree (7/12, 58%) or were enrolled in graduate programs (2/12, 17%) and had clinical experience of less than 4 years (4/12, 33%), 4-8 years (5/12, 42%), and more than 8 years (3/12, 25%). Regarding SSD caseloads, 6 (50%), 4 (33%), and 2 (17%) treated more than 20, 10-20, and fewer than 10 children, respectively. Multimedia Appendix 4 provides detailed participant characteristics.

Through interviews, collaboration between SLPs and parents was described as an ongoing effort to align roles, expectations, and practices within clinical and home-based settings. Participants emphasized that collaboration required ongoing adjustment rather than agreement: “It’s not that we just follow instructions. We try, and then we adjust depending on how things actually work at home” (P04).

Collaboration was enacted not as passive adherence but as a process of repeated recalibration. Accordingly, the central phenomenon was conceptualized as “striving for triadic collaboration.”

Striving unfolded within a clinical context characterized by fragmented consultation times, cultural reliance on professional expertise, and digital ambivalence. Digitally mediated conditions supported cross-context communication and progress monitoring but raised concerns regarding diminished face-to-face engagement and technological overreliance. Expectations regarding roles and responsibilities centered on the SLP. Several causal conditions intensified this striving. Limitations in face-to-face therapy, interactional discrepancies, and challenges in achieving speech sound generalization were described as influencing efforts to extend practice beyond clinic sessions.

Participants described efforts to bridge the clinic–home gap as the formation of cooperative partnerships. This process involved elucidating roles, negotiating expectations, and extending practice beyond therapy sessions. SLPs adjusted clinical guidance to align with family routines and children’s responses, while parents engaged in repetitive attempts to implement and refine home-based practice: “Even when we agree on the plan, it doesn’t always unfold the way we expected” (SLP05).

Collaboration unfolded not as a fixed agreement but as an ongoing process requiring recalibration in response to contextual constraints, children’s responses, and changes in parental attitudes. Through these adjustments, collaboration evolved over time.

Within the paradigm model, striving for triadic collaboration served as a central phenomenon linking causal conditions, action/interaction strategies, and consequences. Clinical contexts and causal conditions influenced this striving, which was enacted through the action/interaction strategies presented in the following section. These processes were reflected in treatment fidelity and continuity, children’s participation as active agents, a stronger triadic alliance, and changes observed in speech sound performance. Figure 1 presents the paradigm model illustrating these relationships. Multimedia Appendix 5 provides a detailed coding matrix outlining relationships among components, key categories, and subcategories within the paradigm model.

During selective coding, the identified categories were integrated around the core category of striving for triadic collaboration. This core category captured participants’ accounts of collaboration as an ongoing effort to coordinate roles, expectations, and practice across SLP sessions and home practice. As described in the contextualized practice category, participants’ accounts repeatedly pointed to a gap between structured target sound production in SLP sessions and children’s everyday speech use. Structured target sound production and everyday speech use were included in Figure 2 as contextual concerns through which participants described the clinic–home gap.

Within this integration, SLP-led monitoring strategies, parent-led home-based intervention strategies, and gradual motivation strategies were organized as overlapping components rather than separate steps. Their overlap reflected participants’ accounts that the clinic–home gap required coordination among clinical guidance, home-based practice opportunities, and children’s engagement. SLP-led monitoring strategies supported shared understandings of therapy goals, children’s progress, and expectations for home practice. Parent-led home-based intervention strategies described how practice guidance was taken up, adapted, or constrained within family routines. Gradual motivation strategies operated across both settings because children’s participation had to be supported during structured SLP sessions as well as repeated home practice.

Taken together, these categories represented collaboration as a contextually embedded process of continued adjustment among SLPs, parents, and children. Figure 2 provides a visual representation of category integration derived through selective coding. The dashed areas indicate the 2 settings in which participants described collaborative work: SLP sessions and home practice. The overlapping ovals represent the 3 action/interaction strategies—SLP-led monitoring strategies, parent-led home-based intervention strategies, and gradual motivation strategies—and their subcategories as described above. The central bar represents the core category of striving for triadic collaboration, around which these strategies were integrated. Structured target sound production and everyday speech use are shown as contextual concerns that reflected participants’ descriptions of the gap between structured SLP sessions and daily speech use.

The findings provide an empirically grounded account of how SLPs and parents organized collaboration across SLP sessions and home practice in relation to the gap between structured target sound production and children’s everyday speech use. The core category, striving for triadic collaboration, captured collaboration as an ongoing effort by SLPs and parents to coordinate roles, expectations, and practice while supporting children’s participation. This collaboration was enacted through 3 action/interaction strategies: SLP-led monitoring strategies, parent-led home-based intervention strategies, and gradual motivation strategies. These strategies were shaped by background and practice-level constraints, including workload and burnout, emotional burden, scheduling constraints, gaps in feedback continuity, limited visibility of home practice and progress, and material and documentation management burden. Together, the findings suggest that collaboration in pediatric SSD intervention was organized as a contextually embedded process of continued adjustment across SLP sessions and home practice.

Prior research has described collaboration in pediatric SLT as involving relational practices and joint planning between SLPs and parents [31,46,54]. Shared decision-making has also been identified as a key component of pediatric care [55]. Family-centered practice further emphasizes negotiated partnership, mutual understanding, and shared responsibility in service planning [56,57]. Recent work on collaborative relationships between families and SLPs also highlights communication, trust, and shared responsibility within early intervention contexts [58].

The present findings build on this literature by conceptualizing collaboration as a triadic organizing process involving SLPs, parents, and children. This formulation is consistent with research on triadic pediatric consultations, which suggests that children’s participation can reshape interactional dynamics rather than positioning children as passive recipients of care [59]. In this study, striving for triadic collaboration captured how participants described the coordination of roles and practices across SLP sessions and home practice.

In interpreting these findings, the 3 action/interaction strategies may be understood as a tentative, nonsequential conceptual lens of alignment, expansion, and internalization. SLP-led monitoring may support alignment by helping SLPs and parents share information about goals, progress, and expectations for home practice. Parent-led home-based intervention may expand practice opportunities into family routines. Gradual motivation strategies may support internalization by helping children move from externally prompted participation toward more self-directed engagement in repeated practice across SLP sessions and home routines.

In relation to speech sound generalization, the findings suggest that collaboration may be relevant because it organizes how practice, feedback, and child participation are coordinated across SLP sessions, home routines, and everyday speech use. Prior SSD research has identified self-monitoring as relevant to generalization [60]. Motivation and engagement have also been discussed in relation to sustained participation in learning and therapeutic contexts [61,62]. Motor learning and speech practice research emphasizes practice conditions, repetition, and feedback in speech intervention [63,64].

Evidence on parent involvement in childhood SSD intervention emphasizes extending practice beyond therapy sessions and supporting home practice [31-33]. Studies of parental roles and coworking further show that home practice is shaped by parents’ beliefs, role expectations, and family routines [36,48].

The present findings connect these strands by situating these practices within collaborative work across SLP sessions and home practice. Guided self-monitoring was described as one component of parent-led home-based intervention. Contextualized practice was described as connecting structured target sound production with home routines and everyday communication contexts. These SLP- and parent-supported practices were described as creating opportunities for children to notice and adjust speech production during practice.

Broader work on self-regulation and motivation further supports attention to how children participate in learning and therapeutic activities [65,66]. In this framing, guided self-monitoring is best understood as a participant-described practice within collaborative intervention, with its relation to speech sound generalization requiring further study. Future studies could examine whether and how adult-supported collaborative practices contribute to children’s independent self-monitoring and speech sound generalization over time.

The organization of triadic collaboration may also vary according to children’s clinical presentation, treatment focus, family resources, and service context. SSD includes heterogeneous clinical presentations, and diagnostic and dimensional accounts emphasize differences across phonological, motor-based, and articulation profiles [2,6,67]. Intervention focus and intensity may also vary by clinical profile and treatment approach [14,15]. Treatment evidence for CAS suggests that some children may require more intensive or specialized clinician-guided intervention [68]. This study identified shared collaborative processes across participants but did not compare these processes by diagnostic subtype or treatment approach.

Family and service constraints also shaped how collaboration was sustained. Studies on parent-mediated interventions have reported challenges related to competing demands on parents’ time, children’s behavior, and alignment of goals [69]. Recent work on family-centered planning similarly highlights implementation challenges for health professionals and families [30]. In this study, background constraints, including workload and burnout, emotional burden, and scheduling constraints, shaped parents’ and SLPs’ capacity to sustain therapy-related work. Practice-level constraints, including gaps in feedback continuity, limited visibility of home practice and progress, and material and documentation management burden, shaped how SLPs and parents coordinated practice across settings. These findings suggest that home practice should be introduced with attention to family routines and service constraints to avoid increasing parental burden while extending practice beyond SLP sessions.

The practice-level constraints identified in this study suggest possible implications for digital support in pediatric SSD intervention. Participants described gaps in feedback continuity, limited visibility of home practice and progress, and burdens associated with material and documentation management. Human–computer interaction research involving pediatric speech-language pathology has highlighted the need to design digital tools that respond to the abilities and contexts of children with disabilities [70]. Related work on parent-clinician communication suggests that visualization tools may support communication when clinical information is difficult to share or interpret across stakeholders [71]. Digital tools could be explored as supports for feedback continuity, visibility of home practice and progress, and material and documentation management across SLP sessions and home practice. Recent work on automatic speech recognition assessment for children with SSD also suggests the relevance of digital assessment tools for speech-related monitoring and feedback [13]. Design-based research on children’s apps emphasizes iterative development and attention to child-centered use contexts [72]. Research on children’s digital technologies also suggests that adults’ roles in selecting, managing, and implementing tools should be considered during design [73]. These perspectives are relevant because digital support in pediatric SSD intervention would need to consider the practice-level constraints identified in this study, including feedback continuity across settings, visibility of home practice and progress, and material and documentation management. These possibilities should be interpreted as design implications for future research.

The findings should be interpreted while accounting for the limitations of the study. First, children’s perspectives were examined indirectly through parent and SLP reports due to age and speech-language limitations that constrained direct interviewing. Although this approach provided insights into children’s participation within adult–child interactions, it only partially captured children’s lived experiences and interpretations of the intervention. Future studies should incorporate developmentally appropriate and creative methods to directly elicit children’s perspectives.

Second, this study was conducted within the clinical and cultural context of South Korea; therefore, transferability to other linguistic or health care settings should be considered with caution. Although SSD is a heterogeneous clinical category, formal subtype classification was not routinely conducted within the participants’ settings, and subtype-specific differences were not examined. While the study identified common collaborative processes, coordination may vary according to clinical presentation and service context. Information on parents’ socioeconomic background was not collected, and variation in these contextual factors may also influence collaborative processes. Future research should examine how socioeconomic variation shapes collaboration across service contexts.

Third, the category integration diagram should be interpreted as a conceptual representation derived from qualitative data. The diagram clarifies relationships among the core category, action/interaction strategies, and contextual concerns identified in this study, but it does not establish feasibility, effectiveness, or implementation requirements across service contexts. Similarly, the digital support implications were inferred from practice-level constraints and participant-described examples. Future research should examine how collaborative processes and potential digital supports operate across SLP sessions and home practice, including their fit with family routines, service delivery constraints, and digital implementation conditions.

This study identified striving for triadic collaboration as the central phenomenon through which SLPs and parents coordinated roles, expectations, and practice while supporting children’s participation across SLP sessions and home practice. Three action/interaction strategies—SLP-led monitoring strategies, parent-led home-based intervention strategies, and gradual motivation strategies—were organized around this core category and shaped by background and practice-level constraints. The category integration diagram represents how collaborative processes were organized in relation to the gap between structured target sound production and everyday speech use. These findings provide a process-oriented account of collaboration in pediatric SSD intervention and highlight the relevance of coordinated SLP–parent collaboration and children’s participation for supporting practice across settings in relation to speech sound generalization.