Translate

How we measure results

Outcomes Methods & Data

Our pathway-driven, in-home model reduces hospital use, prevents complications, and supports quality performance measures — while improving patient quality of life.

Current Reported Metrics

Patient satisfaction

97% — Patient Satisfaction

97% of patients reported being satisfied with their care (based on XX patients surveyed between Jan–June 2025).

How we calculated this

Patient satisfaction is measured through short post-visit and periodic check-in surveys completed by patients and/or caregivers. Responses are compiled across the measurement period and reported as the percent of respondents who selected “Satisfied” or “Very Satisfied.” Feedback is reviewed by our leadership team to improve scheduling, education, and consistency of in-home care.

Days — Average Time to First Visit

5 Days — Average Time to First Visit

5 days from referral to first in-home visit (measured across all new patients in 2025).

How we calculated this

Time to first visit is calculated as the number of calendar days from receipt of a complete referral (required demographics, clinical indication, and payer information) to the first completed in-home evaluation/visit. We track this across all new-start patients during the measurement window and monitor delays separately (referral completeness, authorization timing, patient scheduling barriers).

Symptom Improvement

75% — Symptom Improvement

75% of patients reported less swelling and better mobility after treatment (based on XX patients measured between Jan–June 2025).

How we calculated this

Symptom improvement is measured using standardized patient-reported check-ins collected at intake and follow-up, focusing on swelling, heaviness/tightness, discomfort, and functional mobility (walking tolerance, stairs, and daily activities). The reported percentage reflects patients who indicated improvement compared to their baseline during the measurement period.

Fewer cellulitis episodes

97%— Fewer Cellulitis Episodes

Need Short description here..

How we calculated this

We track avoidable escalations of care associated with chronic edema and lymphatic disease—especially episodes driven by cellulitis risk, skin breakdown, and uncontrolled swelling. Rates are trended over time for enrolled patients using available utilization notifications and documented clinical events. When additional data feeds are available, results are validated against partner-provided utilization reporting.

Fewer Wound Complications

30% — Fewer Wound Complications

Lower rates of infection, non-healing ulcers, and skin breakdown

How we calculated this

We monitor skin integrity at every visit and document changes such as new breakdown, worsening drainage, signs of infection risk, and need for escalation to the referring provider. Complication rates are tracked as documented clinical events over time for the enrolled population. This is paired with adherence to compression, skin care routines, and early identification workflows that reduce preventable deterioration.

Fewer Admissions

75% — Fewer Admissions

Reducing avoidable hospitalizations related to cellulitis, wounds, and fluid overload

How we calculated this

Admissions are tracked during active enrollment using documented patient/caregiver reports, provider updates, and care coordination records. When available, partner utilization reporting is used to validate trends. The reported change reflects admissions during the measurement window, with focus on edema-driven triggers (infection risk, skin breakdown, uncontrolled swelling).

Cancellation Rate

8%— Cancellation Rate

High patient compliance and engagement

How we calculated this

Cancellation rate is measured as cancelled or no-show visits divided by total scheduled visits over the same period. We track patient-initiated cancellations separately from clinical holds (e.g., hospitalization) and weather/force majeure. This helps us improve engagement, scheduling reliability, and adherence.

Inpatient & Observation Rates

20% — Inpatient & Observation Rates

Fewer unnecessary escalations of care

How we calculated this

We track inpatient and observation episodes for enrolled patients and trend changes over time, with attention to edema-driven complications (skin breakdown, infection risk, uncontrolled swelling). Events are captured through available utilization notifications and documented care coordination outreach. When partner utilization reporting is available, we reconcile and validate trends.

Fewer edema-related hospitalizations (fluid overload, cellulitis, wound, falls)

70% — Fewer edema-related hospitalizations

Need Short Description here

How we calculated this

We track inpatient and observation episodes for enrolled patients and trend changes over time, with attention to edema-driven complications (skin breakdown, infection risk, uncontrolled swelling). Events are captured through available utilization notifications and documented care coordination outreach. When partner utilization reporting is available, we reconcile and validate trends.

Improved Care Coordination

50% — Improved Care Coordination

Addressing social barriers, caregiver education, and medical compliance

How we calculated this

We track the completion of key coordination actions during the episode of care—risk factor screening, education delivered, care barriers identified, and closed-loop communication back to the care team. Coordination performance is measured through documentation completion and the timeliness of clinical updates. The goal is simple: better visibility, faster escalation when needed, and fewer gaps between the home and the medical team.

Data Sources We Use

Depending on the metric and the reporting partner, outcomes may be compiled from:

Who Is Included

Unless otherwise specified on the metric itself, reported results generally reflect:

Important Context

Chronic edema and lymphedema outcomes are influenced by many factors (comorbidities, mobility, caregiver support, access barriers, and social determinants). Our outcomes reporting is designed to be honest and actionable, and to support continuous improvement—not to imply that every change is solely attributable to AxiomHealth.

Privacy

Public-facing metrics are displayed in aggregate. Patient-specific information is shared only as part of clinical coordination with appropriate permissions and applicable privacy requirements.

LinkedIn
Email
Print