Measurement-based care is the evidence-based practice of using systematic, repeated outcome measurement to guide clinical decisions. SmokingTracker operationalises MBC for cannabis use disorder using real-time EMA data — not end-of-week recall questionnaires.
Measurement-based care works through a systematic feedback loop. SmokingTracker handles steps 1 and 2 automatically — so you can focus on steps 3 and 4.
Collect objective outcome data continuously — use frequency, mood, craving scores, triggers — via EMA. No questionnaire to assign. No recall bias.
Visualise changes over time on the practitioner dashboard. Traffic-light status flags deterioration automatically — you don't have to notice it manually.
Review the data with your client during the session. Shared progress review strengthens therapeutic alliance and increases client accountability.
Change your approach based on what the data shows — not clinical impression alone. MBC's effect comes from this adjustment loop, not just measurement.
Across randomised trials and systematic reviews, MBC outperforms treatment-as-usual by wide margins — particularly for clients at risk of treatment failure.
Traditional MBC tools like PHQ-9 or the CUDIT rely on retrospective recall — "over the past two weeks." But cannabis impairs episodic memory. Your clients aren't exaggerating or minimising; they genuinely can't reconstruct a week of use accurately. EMA captures the data before it's lost.
The clinical evidence for feedback-informed treatment (FIT) shows that sharing quantified progress with clients increases alliance, insight, and motivation. The practitioner dashboard is designed for collaborative use — not just clinician review. Bring it into the session.
MBC is one of the most replicated findings in psychotherapy outcome research. Here are the landmark studies.
Lambert et al. (2001) found that providing clinicians with outcome data for clients at risk of deterioration doubled the proportion who showed reliable improvement by the end of treatment.
A 2015 meta-analysis of 24 RCTs found MBC consistently outperformed TAU with moderate-to-large effect sizes, and effects were largest when feedback was given to both clinician and client.
Studies integrating EMA into SUD treatment show that real-time use monitoring creates clinically meaningful intervention windows that weekly sessions alone cannot access.
Shiffman et al. demonstrated that EMA capture rates are 3× more ecologically valid than end-of-week recall for use frequency, mood, and craving — validating EMA as the gold-standard MBC data source for SUD.
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The real-time data collection that makes MBC objective and free from recall bias.
Learn more →The clinical view that makes the MBC feedback loop visible — traffic-light status, trends, triggers.
Learn more →Why recall-based questionnaires fail in cannabis treatment — and what EMA fixes.
Learn more →No setup fee. No automatic charges. Full MBC capability from day one.
Request access and see how SmokingTracker can support your treatment center during the current free pilot.