Fast, reproducible synthesis is the bottleneck in turning SDM research into clinical change. A new qualitative study (published 30 June 2026) examined shared decision-making in pediatric physical therapy via six focus groups (adolescents n=11, parents n=9, pediatric physical therapists n=6) and a qualitative survey of 46 PPTs. The authors adapted a goal-based SDM model and mapped implementation strategies (training, SDM tools, team culture). Read the original study at PLOS ONE. If you run qualitative research, UX studies, or clinical implementation pilots, this post shows how to convert transcripts and surveys into actionable implementation artifacts using AI-enabled qualitative analysis platforms. You will get a compact workflow: what to extract, which themes to prioritize (intake and goal-setting, child involvement, therapy plan, recurring SDM), and how to operationalize implementation strategies with reproducible outputs for training and stakeholder buy-in.
Key Takeaways
Evidano is an AI-powered qualitative data analysis platform that converts interview and focus-group transcripts into theme maps, quote banks, and implementation-ready artifacts.
The PLOS study (30 June 2026) identified four priority shared decision-making (SDM) themes: intake and goal-setting, child versus parent involvement, therapy plan choices, and recurring SDM; these themes are high-value coding targets for implementation work.
A two-week pilot can import 4–10 transcripts into Evidano and produce a one-page executive brief, quote bank, and co-occurrence visualization for stakeholder use.
- Study design and sample: six focus groups (adolescents n=11, parents n=9, pediatric physical therapists n=6) plus a qualitative survey of 46 PPTs validated barriers and facilitators.
- Primary barriers identified: time constraints, balancing multiple perspectives, variable therapist communication skills, and practice revenue models limiting time.
- Primary facilitators identified: SDM adaptability to family context, supportive team culture, and home therapy enabling contextual tailoring.
- Practical approach: extract decision points (intake, goal talk, option talk, decision talk, evaluation), map themes to CFIR, and select matched implementation strategies (training, champions, workflow changes).
Findings Snapshot
| Date / Stage | Method | Sample | Key result / implication | Source |
|---|---|---|---|---|
| Jun 30, 2026 (publication) | Multi-phase qualitative study | FGs + survey | Adapted goal-based SDM model; implementation strategies identified | PLOS ONE |
| Jun 30, 2023–Mar 5, 2024 | 6 focus groups (audio-recorded, transcribed) | Adolescents (12–18y) n=11; Parents (4–18y) n=9; PPTs n=6 | SDM should start at intake/goal-setting; ongoing tailored involvement | Study methods |
| Mar 22–Jul 3, 2024 | Qualitative survey (open questions) | PPTs n=46 (90% response) | 71% fully agreed with FG findings; validated barriers/facilitators | Study results |
What happened (plain English)
The study combined inductive thematic analysis of focus-group transcripts with deductive mapping of barriers and facilitators to the Consolidated Framework for Implementation Research (CFIR).
The focus groups were sensitized in advance with a timeline exercise; sessions lasted about 120 minutes, were audio-recorded, and transcribed. Transcripts were coded with MAXQDA following SRQR standards. Phase 2 mapped themes onto van der Pol’s goal-based SDM model and selected implementation strategies using the CFIR-ERIC and Behavior Change Wheel tools.
- Key themes to extract from transcripts: intake and goal-setting; involvement level of child versus parent; choosing therapy plan (frequency, duration, homework, home context); SDM occurrences (informal session checks versus periodic evaluations).
- Main implementation barriers: time constraints, balancing multiple perspectives, variable therapist communication skills, practice revenue models limiting time.
- Main facilitators: SDM adaptability to family, supportive team culture, home therapy enabling contextual tailoring.
So what for researchers & clinicians
Researchers / Implementation teams
Researchers and implementation teams should focus first on coding for decision points: intake, goal talk, option talk, decision talk, and evaluation.
Tag quotes that show capability, opportunity, and motivation (COM-B) to map solutions later and use CFIR mapping (innovation, outer/inner setting, individuals) to transform themes into matched implementation strategies such as training, champions, and workflow time allocation.
Clinical leaders / Practice managers
Clinical leaders and practice managers should prioritize training and protected time for SDM skill acquisition and audit a sample of consultations for goal-setting and child involvement.
Use short synthesis reports (theme counts plus illustrative quotes) to persuade payors and partners why allocating admin and training time reduces long-term inefficiencies.
UX / evaluation teams
UX and evaluation teams should collect PROMs and the ‘three good questions’ readiness prompts during intake to surface expectation gaps automatically.
Design evaluation measures around both process (how often SDM steps occur) and outcome (goal attainment, adherence).
Do more, faster with Evidano
From raw transcripts to theme maps
Evidano converts raw transcripts into theme maps, frequency counts, and hierarchical codes so teams can see how often 'goal-setting' or 'home barriers' appear across groups.
Import recorded sessions or verbatim transcripts directly into Evidano. The platform auto-extracts themes and frequency counts and builds hierarchical codes and subcodes so you can track theme prevalence across segments.
Validate findings across segments
Evidano highlights diverging language and co-occurrence patterns across segments such as adolescents versus parents versus PPTs (study n values: adolescents 11, parents 9, PPTs 6, survey 46).
Use cross-segment analysis to compare groups and surface co-occurrence signals (for example, 'time constraints' plus 'revenue model').
Create implementation-ready artifacts
Evidano generates stakeholder-ready outputs such as short executive briefs, anonymized quote banks, and visualizations (co-occurrence networks) to support training and leadership buy-in.
Produce quote banks (clickable, anonymized) and visual artifacts to accelerate stakeholder alignment.
Data protection and PII
Evidano supports PII redaction and encryption and keeps customer data private; customer data is not used to train external models.
Use PII redaction and encryption features to keep transcripts research-safe and compliant with consent.
Run follow-ups and pilots autonomously
Evidano can deploy AI-avatar interviews to collect preparatory inputs from families (for example, goal preferences and home context) and feed responses directly into your analysis corpus for near-real-time iterative improvement.
Use AI-enabled collection to accelerate follow-ups and pilot cycles with minimal manual overhead.
Two-week pilot workflow (practical checklist)
Run a rapid pilot to operationalize the study’s recommendations and prove value to stakeholders.
Day 1: Import 6–8 recorded intake sessions and related PROMs into Evidano; enable PII redaction.
Day 2–3: Auto-transcribe and run initial thematic extraction (goal-setting, child-involvement, home-context, time constraints).
Day 4: Build a small codebook reflecting the study’s four themes and apply AI-assisted coding across transcripts; review and adjust codes.
Day 5–7: Produce a one-page executive brief plus a quote bank and a co-occurrence network showing barriers versus facilitators.
Week 2: Hold a 30–60 minute stakeholder review; collect feedback and create a training micro-module based on the top three skill gaps identified.
Deliverable: an evidence-backed implementation checklist and a short training plan tied to extracted quotes and frequencies.
Ethics & safeguards (brief)
When analyzing sensitive healthcare transcripts, prioritize consent, PII redaction, and secure encryption, as the PLOS study restricted full transcripts to protect participant identity.
Research note: this post is for implementation and research purposes only; it is not clinical advice.
Wrapping up & next steps
If your team is translating focus-group and intake transcripts into SDM training, policy change, or pilot interventions, apply a theme to CFIR to ERIC mapping and produce short, stakeholder-tailored artifacts such as quote banks, visual networks, and implementation checklists.
The PLOS study (30 June 2026) provides a tested goal-based SDM model and a list of realistic barriers, which are practical inputs for a rapid AI-enabled analysis.
Ready to try it? Upload a small corpus (4–10 transcripts) to Evidano, run the thematic and cross-segment analysis, and generate a one-page implementation brief you can use in team meetings. For a free account, Try Evidano for free. For clinical research, always confirm consent and anonymization before upload.