This post shows how to run a qualitative analysis of shared decision making (SDM) in pediatric physical therapy and turn focus-group transcripts into actionable implementation strategies. The June 30, 2026 PLOS One study (Limmen et al.) used six focus groups (adolescents, parents, pediatric physical therapists) plus a 46-respondent qualitative survey to adapt a goal-based SDM model and propose CFIR-ERIC matched implementation strategies. If you analyze interviews, transcripts, or surveys for clinical implementation (program managers, UX researchers, policy analysts), you will get: 1) a concise mapping of methods and findings from the study, 2) practical implications for running and comparing segment-level SDM analyses, and 3) a reproducible 7-step workflow to implement the same synthesis inside Evidano (Evidano). Read on to see which Evidano features (transcription with PII redaction, codebook import, thematic and cross-segment analysis, co-occurrence visualizations, and secure data handling) speed the work and preserve research rigor.
Key Takeaways
Limmen et al. (published June 30, 2026) show that shared decision making in pediatric physical therapy should start at intake with goal-first conversations, continue throughout therapy, and be adapted per child and family. Evidano is an AI-powered qualitative data analysis platform that accelerates transcription, coding, validation, and stakeholder reporting so teams can reproduce the study’s synthesis and translate barriers into CFIR-ERIC implementation steps.
- Start SDM at intake and goal setting, then revisit SDM at planned and ad-hoc evaluation moments, per Limmen et al. (Jun 30, 2026).
- The study used six focus groups and a 46-respondent qualitative survey to adapt a goal-based SDM model and to match implementation strategies to CFIR domains.
- A 7-step Evidano workflow converts transcripts into validated themes, co-occurrence networks, implementation checklists, and stakeholder-ready reports in days, not weeks.
Fast take, study & source
This section summarizes the study and its primary source: Limmen et al. ran six focus groups and a validation survey, then adapted an SDM model and mapped implementation strategies to CFIR and COM-B. The study’s full report is available in PLOS One.
- Audience payoff: how to reproduce the study’s qualitative synthesis and implement SDM-focused outputs using Evidano.
- Soft CTA: Try the workflow below on a pilot corpus (transcripts plus PROMs) to produce theme maps and stakeholder reports in days, not weeks.
Findings snapshot
| Date / Period | Method | Sample (n) | Key outputs | Notes / Source |
|---|---|---|---|---|
| Focus groups Jun 30, 2023–Mar 5, 2024 | 6 focus groups; thematic content analysis (inductive) | Adolescents n=11; Parents n=9; PPTs n=6 | Themes: intake/goal setting, child & parent involvement, choosing plan, SDM across therapy | Study (Limmen et al., published Jun 30, 2026), PLOS One |
| Qualitative survey Mar 22–Jul 3, 2024 | Open questions; validation | Pediatric PTs n=46 (90% response) | 71% agreed fully; 29% added perspectives | Used to validate focus-group themes |
| Modeling & implementation | Integrated into goal-based SDM model; CFIR-ERIC matching | , | Adapted SDM model + implementation strategies (training, SDM tools, team culture) | Implementation strategies mapped to CFIR/COM-B |
What happened, methods & core results
Limmen et al. ran a two-phase qualitative study that combined focus groups and a validation survey and then mapped findings to implementation tools. Phase 1 included six focus groups separated by stakeholder type and a qualitative survey to validate findings; transcripts were verbatim and analyzed inductively (themes) and deductively (barriers and facilitators mapped to CFIR domains). Phase 2 adapted van der Pol’s goal-based SDM model for pediatric physical therapy and selected implementation strategies using the CFIR-ERIC tool supplemented by COM-B behavior-change options.
- Where SDM fits: SDM starts at intake and goal talk and recurs at planned and ad-hoc evaluation moments.
- Decision topics suitable for SDM: treatment frequency and duration, homework and home context, expectations, and referral options.
- Top barriers: therapist time constraints, administrative load, and managing divergent stakeholder preferences.
- Top facilitators: adaptable SDM per family, supportive practice culture, and tools and training for goal setting.
Implications for researchers, implementation leads, and clinicians
For researchers running qualitative analysis of SDM
Researchers should segment the corpus by stakeholder (child, parent, clinician) and by decision stage (intake, goal talk, option talk, evaluation), the study shows patterns differ by stage.
Segment your corpus by stakeholder and decision stage to compare themes by segment frequency and co-occurrence (for example, “time constraints” co-occurring with “administration” versus “home environment”). This clarifies where to target implementation strategies.
For implementation & quality teams
Implementation and quality teams should translate themes into measurable implementation levers, the study recommends training hours and scheduled evaluation checkpoints as example levers.
Translate themes into measurable implementation levers: training hours, scheduled evaluation checkpoints, and parent and child empowerment materials, and use CFIR-mapped barriers to prioritize multilevel strategies (individual training plus inner-setting champions plus organizational time allocation).
For clinicians & practice managers
Clinicians and practice managers should make goal-setting an explicit, documented step before option talk, the adapted model requires goals first.
Pilot short SDM prompts (choice talk scripts) and measure uptake with PROMs and session-level notes to show feasibility.
FAQ: SDM in pediatric physical therapy
What did Limmen et al. find about when SDM should start in pediatric physical therapy?
SDM should start at intake with goal-focused conversations and continue throughout therapy adapted to child and family preferences. The study specifically recommends goal-first conversations at intake and recurring SDM at planned and ad-hoc evaluation moments.
What methods did the study use to generate its themes and implementation recommendations?
The study used six stakeholder-specific focus groups and a 46-respondent qualitative survey, with verbatim transcripts analyzed inductively for themes and deductively mapped to CFIR domains. The team then adapted an existing goal-based SDM model and matched implementation strategies using CFIR-ERIC and COM-B.
What are the top barriers and facilitators to SDM identified in the study?
The top barriers are therapist time constraints, administrative load, and managing divergent stakeholder preferences, and the top facilitators are adaptable conversations, supportive practice culture, and tools and training for goal setting. The study emphasizes multilevel strategies to address these barriers.
How can teams reproduce the study’s qualitative synthesis using a practical workflow?
Teams can reproduce the synthesis by importing transcripts, seeding a CFIR-based codebook, running AI-assisted coding with inter-coder reconciliation, segmenting by stakeholder and decision stage, and exporting visualizations and ERIC-matched implementation checklists. The post provides a 7-step reproducible workflow to follow inside Evidano.
Do more, faster with Evidano (mapped to the study’s needs)
Problem: scattered transcripts, manual coding
Evidano addresses the problem of scattered transcripts and manual coding by ingesting focus-group and survey transcripts directly and producing automated thematic extraction and code co-occurrence networks.
Problem: inconsistent codebooks across analysts
Evidano addresses inconsistent codebooks by importing an existing codebook (for example, CFIR constructs) and running AI-assisted coding to apply and reconcile codes consistently across transcripts.
Problem: multilingual inputs / PII
Evidano addresses multilingual inputs and PII by offering transcription and translation with custom dictionaries and by providing PII redaction so sensitive pediatric content remains protected.
Problem: stakeholder reporting & buy-in
Evidano addresses stakeholder reporting and buy-in by generating stakeholder-ready outputs, frequency tables, hierarchical theme-to-subcode trees, quote packs, and visualizations such as word clouds and co-occurrence networks.
Security & compliance
Evidano addresses security and compliance by encrypting data end-to-end and not using customer data to train third-party models, which is important for qualitative datasets with sensitive pediatric details.
Workflow: 7 steps to reproduce the study’s synthesis in Evidano
The following 7-step workflow reproduces Limmen et al.’s synthesis using Evidano.
Step 1; Import: upload focus-group audio, survey text, and meeting notes, and either use Evidano transcription with PII redaction or upload existing transcripts.
Step 2; Prep: apply a project-level codebook seeded with CFIR and goal-based SDM constructs, and add study-specific initial codes (intake, goal setting, choice talk, option talk, evaluation).
Step 3; Auto-code & Review: run AI-assisted coding to suggest theme assignments, and have researchers and clinicians review and confirm codes with inter-coder reconciliation support.
Step 4; Segment & Compare: slice by stakeholder (adolescent, parent, PT), by decision stage, and by practice setting (home, clinic, school), and run frequency and cross-segment analyses.
Step 5; Visualize: generate co-occurrence networks and hierarchical code trees to surface clusters (for example, time constraints co-occurring with admin load).
Step 6; Translate to Implementation: map top barriers to CFIR domains inside Evidano and export matched ERIC strategies as a checklist for training and team interventions.
Step 7; Report & Share: produce stakeholder-ready PDFs with pull-quotes, PROM-linked tables, and an executive brief, and maintain an audit trail for ethics and IRB review.
- Ethics note: qualitative findings with pediatric detail are research-only and potentially identifying, use Evidano’s PII redaction and secure sharing features when preparing materials for broader audiences.
Wrapping up & next steps
This post summarizes Limmen et al. (published June 30, 2026): start SDM at intake with goal-first conversations, adapt involvement per child and family, and use multifaceted strategies to overcome time and capacity barriers. If you want to reproduce the study’s qualitative synthesis or pilot SDM implementation across practices, Evidano accelerates each step from transcription to theme validation and visually compelling, stakeholder-ready outputs. Run a pilot in Evidano with one focus-group dataset and one practice’s session notes, and Try Evidano for free.
Topics
- SDM in pediatric physical therapy
- qualitative analysis of SDM
- shared decision making implementation
- Evidano workflow
- CFIR-ERIC implementation strategies
Keep reading
- Commentary on NewsQualitative analysis of alcohol use in Korean immigrant womenUse AI-enabled qualitative analysis on a PLOS scoping review (July 14, 2026) of alcohol use in Korean immigrant women: key findings (n=7) and a 7-step Evidano workflow.
- Commentary on NewsFaster Qualitative Analysis of Hearing PilotAI workflow to turn SOUND‑BITES hearing‑pilot interviews into rapid qualitative insights: transcription, TDF coding, cross‑segment reports and reproducible QA steps.
- Commentary on NewsBetter LLM Coding: Codebook Prompting for LLMsHow codebook prompting for LLMs achieves 82–88% human agreement in PLOS One (Aug 4, 2026), and how researchers can operationalize that pipeline with Evidano.
