Synthesis line · hospice
Quality of Life Trajectory
Single 0-100 line on the hospice dashboard. Combines HHHHHMM, JOURNEYS, and the rolling 7-day percentage of good days from the Lap of Love daily check-in. Three bands: difficult (<40), watchful (40-60), comfortable hospice (>60).
Formula
trajectory = HHHHHMM_norm × 0.4 + JOURNEYS_norm × 0.3 + daily_rolling_7 × 0.3
- HHHHHMM_norm = (HHHHHMM / 70) × 100. Higher is better; no inversion needed.
- JOURNEYS_norm = 100 − (JOURNEYS / 80) × 100. Higher JOURNEYS raw score = worse trajectory; inversion makes the trajectory line consistently 'higher is better'.
- daily_rolling_7 is already 0-100 (percentage of good days in the last 7 days from the Lap of Love daily diary).
Weighting rationale
HHHHHMM × 0.4
HHHHHMM gives the most comprehensive read across seven domains and is the only published instrument with a quantitative threshold (>=35 with each item >=5). Weighted highest.
JOURNEYS × 0.3
JOURNEYS provides decline-signal detail (yelling, breathing, sleep) that HHHHHMM does not cover directly. Weighted equally with the daily diary.
Lap of Love daily × 0.3
The rolling 7-day diary keeps the line responsive to short-term shifts the weekly HHHHHMM and fortnightly JOURNEYS instruments cannot see in isolation.
Bands
Comfortable hospice> 60
Continue current management. Monitor weekly with HHHHHMM and daily with the Lap of Love diary.
Watchful40 to 60
Review pain control and any specific domain that has slipped. Worth a vet conversation in the next few days.
Difficult< 40
Active conversation about quality of life and timing. Please contact your vet today.
Clinical note
The 0.4 / 0.3 / 0.3 weighting is a clinical judgement by Alastair Greenway MRCVS and Claire Greenway BVM&S MRCVS, not derived from validation studies — none exist for end-of-life synthesis lines combining these three instruments. The Phase 2 clinical advisory board reviews this. Where any single instrument is missing, the available components are reweighted so the visible weights still sum to 1; the dashboard's clinical view exposes which components contributed to any given point.