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After the Assessment

Understand your Outcomes tab

An empty Outcomes tab is the normal starting point. Here is what fills it, and what the tab shows at each stage on the way.

7 steps · 4 min read

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Examples for

Choose the example region. This does not change your practice or account country.

Before you start

  • Open Activity → Outcomes in an eligible practice.
  • Change statistics need five paired patients per measure with verified constants. Imported history stays separate from native outcome aggregation.
7 steps in this guide.Steps

Step 1: Open Outcomes under Activity

You

An empty Outcomes tab is the normal starting point, not a fault. A reading is one completed assessment, and the change statistics on this tab need two of them on the same measure from the same patient. If you have sent assessments but no follow-ups yet, you will see counts and latest scores here, but no change statistics. If you have sent nothing yet, the tab shows a single quiet card. The tab sits under Activity.

What you should seeOutcomes names its practice or sender scope.

Step 2: Send the same measure again

You

Send the same measure again from the patient record using Send. Choose the delivery channel and confirm the request, or set a repeating schedule when that measure is eligible.

Search and select assessmentsSeparate interactive example for this step. Uses made-up details. Changes here do not change your practice.

Assessments

Your sets for adults

Your practice’s batteries and pathways where every form fits this age.

Your usual

What your practice sends most.

  • PHQ-9In this sendDepression over the past two weeks · 9 questions · about 3 min

Who gets what

Example · 1 form · about 3 min

PHQ-9

Consent to treatment: not in this send.

Your consent form hasn’t been reviewed yet, so it isn’t in this request.

Selected: PHQ-9

What you should seeThe same measure is sent again to build paired readings.

Step 3: The patient's second reading

The patient

Nothing changes at their end: the same link, the same pacing. Once that reading is in, the patient counts as a pair on that measure: their first reading and their latest.

Repeated results on the recordSeparate interactive example for this step. Uses made-up details. Changes here do not change your practice.
PHQ-92 completions
8 / 27
Mild
LatestNewest result8 / 27MildOpen result
Loading trend…

Select a point to open that result · hover to preview

Earlier:1 Sep 2026, 12 ModerateOpen

Download PDFPaste into your own notes or records.

What you should seeReturned instrument histories show their own scores and dates.

Step 4: Building toward change statistics

Automatic

Below five paired patients per measure, Building toward change statistics lists their recorded scores and dates without a change verdict. The floor applies separately to each measure and scope.

Building towards change statisticsSeparate interactive example for this step. Uses made-up details. Changes here do not change your practice.

Building toward change statistics

Change statistics for a measure appear once five patients have a first and a later completed reading. Until then, each patient’s readings are listed below exactly as recorded, with no change calculation applied.

PHQ-9

1 of 2 patients has two or more readings · 3 readings

Time between first and last assessment: 1 months so far, for the one patient with repeat readings.

What you should seeBelow five paired patients, the building card shows recorded readings without a change verdict.

Step 5: Change statistics at five patients

Automatic

The card draws each of those patients as a point, grouped into improved, within typical variation, or deteriorated. The Jacobson and Truax reliable change index decides which group, so a patient only lands in an outer group when their change is larger than the measure's own measurement error. The d and CI in the card's headline are the size of the average movement and how settled that figure is. The card carries this definition at its foot, so you do not have to remember it.

Five invented paired patients, calculated by the productSeparate interactive example for this step. Uses made-up details. Changes here do not change your practice.

PHQ-9

5 patients have a completed reading · 5 of them have two or more · 10 completed readings

Depression moved toward the non-clinical end (d 1.48, CI 0.21 to 2.74).

Time between first and last assessment: median 1 months, over a median of 2 readings per patient (range 2 to 2).

Latest reading · n 5 patients, whole practice

Minimal 0Moderately Severe 0Severe 0

A latest reading may be a patient’s first; position can be shown but no change between readings is calculated.

Scores run 0 to 27.

Change between first and latest · n 5 of the 5

Depression
Minimal
Mild
Moderate
Moderately Severe
Severe
091827
Cutoff 10

An improvement travels left, toward the non-clinical end. Hollow dot = first reading, filled dot = latest; within-variation rows show both hollow.

Deteriorated · 0

    Within typical variation · 0

      Improved · 5

      All 5 patients in three groups; largest change first within each group.
      • Depression fell 9.0 points on average, d 1.48 (95% CI 0.21 to 2.74), n 5 paired patients, against the published normative SD.

      Improved = change beyond the measure’s reliable-change threshold (RCI above 1.96), toward the non-clinical end. Deteriorated = the same threshold, away from it. Jacobson and Truax (1991). These indicators suggest; you conclude.

      Effect sizes describe uncontrolled change between a first and a latest reading in this caseload. Some of that change is regression to the mean and who remained in therapy. They describe the caseload, not the practitioner.

      • Depression: Test–retest r=0.84 (Kroenke, Spitzer & Williams 2001); normSD=6.1 derived from SEM=2.44 for treatment change (Löwe et al. 2004) via SEM=SD·√(1−r). Cutoff ≥10 = moderate (Kroenke 2001). Item 9 = self-harm risk.

      What you should seeOnce the floor and constants are satisfied, the actual measure card can show licensed change statistics.

      Step 6: Distinguish latest scores from paired change

      Automatic

      A measure card’s latest-score distribution includes people with one reading, while its change statistics require paired readings. Other instruments with published bands can appear further down as latest scores without reliable-change statistics. Read each section’s population and source.

      Five invented paired patients, calculated by the productSeparate interactive example for this step. Uses made-up details. Changes here do not change your practice.

      PHQ-9

      5 patients have a completed reading · 5 of them have two or more · 10 completed readings

      Depression moved toward the non-clinical end (d 1.48, CI 0.21 to 2.74).

      Time between first and last assessment: median 1 months, over a median of 2 readings per patient (range 2 to 2).

      Latest reading · n 5 patients, whole practice

      Minimal 0Moderately Severe 0Severe 0

      A latest reading may be a patient’s first; position can be shown but no change between readings is calculated.

      Scores run 0 to 27.

      Change between first and latest · n 5 of the 5

      Depression
      Minimal
      Mild
      Moderate
      Moderately Severe
      Severe
      091827
      Cutoff 10

      An improvement travels left, toward the non-clinical end. Hollow dot = first reading, filled dot = latest; within-variation rows show both hollow.

      Deteriorated · 0

        Within typical variation · 0

          Improved · 5

          All 5 patients in three groups; largest change first within each group.
          • Depression fell 9.0 points on average, d 1.48 (95% CI 0.21 to 2.74), n 5 paired patients, against the published normative SD.

          Improved = change beyond the measure’s reliable-change threshold (RCI above 1.96), toward the non-clinical end. Deteriorated = the same threshold, away from it. Jacobson and Truax (1991). These indicators suggest; you conclude.

          Effect sizes describe uncontrolled change between a first and a latest reading in this caseload. Some of that change is regression to the mean and who remained in therapy. They describe the caseload, not the practitioner.

          • Depression: Test–retest r=0.84 (Kroenke, Spitzer & Williams 2001); normSD=6.1 derived from SEM=2.44 for treatment change (Löwe et al. 2004) via SEM=SD·√(1−r). Cutoff ≥10 = moderate (Kroenke 2001). Item 9 = self-harm risk.

          What you should seeLatest-score distributions have a different population from paired change statistics.

          Step 7: At the top, what every number counts

          Automatic

          At the top of the tab, a coverage strip splits your completed assessments into what these statistics could draw on and what they could not. Each bucket is counted directly, not estimated. Every section below states its own scope, so you always know whether a number covers the whole practice or only the assessments you sent.

          What every number countsSeparate interactive example for this step. Uses made-up details. Changes here do not change your practice.

          What these statistics are computed over

          10 completed assessments, whole practice

          • 10used in a statistic
          • 0below the five-patient threshold
          • 0without verified constants

          What you should seeThe coverage strip names used, below-threshold, excluded and unscored readings in the same units.

          Frequently asked questions

          What does the effect size on a measure card tell me?

          It describes uncontrolled change between a first and a latest reading in this caseload, and it renders with its confidence interval and the number of patients behind it. Some of that change is regression to the mean and who remained in therapy. It describes the caseload, not the practitioner.

          Why is my Outcomes tab empty?

          Because every statistic here needs two completed readings of the same measure from the same patient. A practice that has only sent first assessments has nothing to compare yet. Sending follow-ups to patients you have already assessed is what fills the tab.

          Why does a measure need five patients before it shows statistics?

          A reliable change count or an effect size drawn from one or two patients is noise dressed as a finding. Five paired patients is the floor applied before any statistic is drawn. Below that the readings are still listed for you, exactly as recorded, without a change calculation.

          Which measures can show change statistics?

          The curated, citation-verified registry currently offers DASS-21, PHQ-9, GAD-7, K10 and CORE-10 for change statistics. Other instruments may show latest scores when published bands are available. An unscored response is reported separately.

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