OUR EVIDENCE

KPI & ROI Studies

Understanding outcomes: human-centered research demonstrating measurable impact and future value.

Executive Summary

Evidence matters when access, recovery, and long-term health are the goal.

The ROI model should be interpreted as a scenario-based value proposition rather than a forecast of realized savings. Key outputs depend on program engagement, utilization-change assumptions, benchmark costs, and projected program fees.

Two Components

A diabetes total cost of care benchmark analysis and an illustrative ROI model applying utilization assumptions to fully engaged participants.

Clinical Evidence

Digital and home-based interventions show potential to improve sedentary time, glycemic measures, blood pressure, and cardiovascular risk factors.

Narrative Support

Digitally supported, multifactorial, and home-based programs can influence behaviors and intermediate clinical measures.

Model Overview

Total Cost of Care Benchmark & Value Proposition

Benchmark Analysis

Compares medical and pharmacy costs across diabetes cohorts using allowed cost, utilization per 1,000, unit cost, and PMPM by service category.

Cohort Comparison

Compare newly identified and consistently identified diabetes members. PMPM ratios and differences by major service category.

Value Proposition

Post-intervention PMPM, dollar impact, program fees, gross ROI, and net ROI for fully engaged participants.

Benchmark Results

Diabetes Total Cost of Care by Cohort

New Diabetes
$2,054
Total PMPM
$568
Inpatient
$544
Outpatient
$419
Professional
$33
Other
$489
Pharmacy
Consistent Diabetes
$2,181
Total PMPM
$313
Inpatient
$505
Outpatient
$390
Professional
$45
Other
$927
Pharmacy
Non-Diabetes
$715
Total PMPM
$93
Inpatient
$208
Outpatient
$214
Professional
$9
Other
$191
Pharmacy
Financial Drivers

Key Utilization Drivers for the ROI Model

$60
Emergency Dept. Reduction
301 util/1,000 · $2,422 unit cost
$161
Inpatient Admission Reduction
68 util/1,000 · $28,427 unit cost
$51
Increased Office Visits
4,431 util/1,000 · $138 unit cost
Value Proposition

Illustrative Program Assumptions

100,000
Covered Lives
8.2%
Diabetes Prevalence
8,224
Members w/ Diabetes
10%
Projected Users
50%
Fully Engaged
411
Engaged Members
Illustrative ROI
2.58x
Gross Return on Investment
1.58x
Net ROI
$66,776
Estimated Dollar Impact

Starting PMPM: $2,156. Post-intervention PMPM: $2,141. Program fees: $25,906. Illustrative interpretation only — not a forecast of realized savings.

Evidence Library

Supporting Evidence Studies

118 RCTs · 21,662 Participants

Digital Health in Type 2 Diabetes

Improved HbA1c, fasting glucose, and postprandial glucose; no significant improvement in physical activity or HOMA-IR. The most directly relevant study for a diabetes value proposition. Supports a potential glycemic pathway.

26 RCTs · 3,800 Participants

Digital Health & Sedentary Behavior

Digital interventions reduced overall sitting time by 30.8 minutes relative to comparators.

27 Trials

Home-Based Exercise & Hypertension

Endurance, isometric strength, and breathing programs appeared effective in reducing blood pressure.

74,679 Adults

A1C Improvement & Acute-Care Utilization

0.9–1.1 point A1C reduction accompanied by lower diabetes-related hospitalizations (up to 52.7%) and ED visits (up to 36.6%). Strong utilization-plausibility evidence.

100 Adults

Telemonitoring & ED Visits

Greater A1C reduction, fewer ED visits, and reported healthcare savings over six months.

59,830 Adults

Glycemic Control & Acute-Care Costs

HbA1c <7% associated with lower annual acute-care costs and total medical costs.

Limitations & Next Steps

The Evidence Base Will Continue to Grow

1

Utilization and savings assumptions should be validated using client-specific claims data or a program-specific outcomes evaluation.

2

Clearly separate evidence-supported findings from hypothetical assumptions in the workbook and in any client-facing presentation.

3

Present conservative, expected, and optimistic scenarios, with each tied to documented sources or clearly stated clinical rationale.

4

Use clinical judgment and, where available, program-specific data to support any assumed relationship between clinical improvement and financial impact.

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