Mobile Clinic Outcomes and Measures Library

Start with the decision and the decision-makers

Start by asking what decision the data should help you make. For example:

Should we continue or expand a service?
Are we reaching the intended population?
Are patients completing referrals or follow-up care?
Is a clinical outcome changing over time?
Are outcomes different across groups or locations?
What does the program cost to operate and sustain?

Ask the people who will use the results what information they need. Their input can help ensure that the evaluation measures what matters to program staff, patients, community partners, funders, and policymakers, not only what matters to the person designing the evaluation. Involving these groups early also makes the findings more useful for decisions about program improvement, policy change, and funding.

When possible, choose one primary outcome. Then add a few measures that help explain reach, implementation, experience, equity, and cost.

Core mobile clinic measures

Measure	Suggested calculation or definition	Why it matters
Reach
Unique patients served	Count each patient once during a defined reporting period	Shows how many people received care
Patient encounters	Total completed visits during a defined period	Shows service volume
Intended population reached	Number served from the intended population divided by the estimated number eligible or in need	Connects activity to community need
Access
New patients	Patients with no previous visit to the program divided by unique patients served	Shows whether the program is extending access
Time to service	Median time from request, referral, or eligibility to completed service	Identifies delays
Geographic access	Distance or estimated travel time between a patient's community and the nearest fixed-site alternative, using a documented method	Describes the access barrier addressed
Care delivery
Screening completion	Eligible patients who received the screening divided by eligible patients seen	Measures delivery of an intended service
Referral completion	Referred patients who completed the referral within a defined period divided by patients referred	Shows whether connections lead to care
Follow-up completion	Patients completing the planned follow-up within a defined period divided by patients due for follow-up	Measures continuity
Experience
Respect and trust	Patient-reported experience measured with clearly worded questions or a validated instrument	Shows whether patients experience care as respectful and trustworthy
Needs addressed	Patients reporting that the visit addressed their main need divided by patients responding	Connects services to patient priorities
Health
Condition-specific outcome	Change in a clinically appropriate measure over a defined period	Assesses whether health status changed
Patient-reported outcome	Change in symptoms, function, quality of life, or confidence using an appropriate instrument	Captures changes patients can report directly
Equity
Reach and outcome differences	Report key measures by relevant population, geography, language, payer, or other justified characteristics	Shows who benefits and where gaps remain
Cost
Operating cost per encounter	Total program operating cost divided by completed encounters	Supports budgeting and comparison over time
Operating cost per unique patient	Total program operating cost divided by unique patients served	Shows resource use at the patient level
Implementation
Service delivered as planned	Completed delivery elements divided by elements specified in the program model	Measures consistency and fidelity
Site reliability	Completed mobile service days divided by scheduled mobile service days	Shows operational reliability
Sustainability
Funding concentration	Share of annual revenue supplied by the largest funding source	Identifies financial dependence
Program continuation	Whether the service remains active at a defined follow-up point, with changes documented	Measures maintenance over time

Measures to add when they fit the question

Community need and reach

Number and type of communities or sites served
Patients who lacked a usual source of care
Patients who would have delayed or gone without care
Demographic and geographic representation
Reasons eligible patients did not participate

Access and continuity

Walk-in availability
Appointment completion and no-show rates
Wait time at the mobile site
Connection to a medical home
Referral turnaround time
Repeat visit rate, interpreted in the context of the service model

Clinical and behavioral outcomes

Blood pressure, glycemic, asthma, infectious disease, pregnancy, behavioral health, dental, vision, or other condition-specific outcomes
Medication access or adherence
Preventive service completion
Emergency department use or hospitalization, when reliable data and an appropriate design are available
Self-management confidence and health-related quality of life

Clinical measures should follow current professional guidance and fit the population, service, and follow-up period. Document the source and version of each measure. Avoid creating a new clinical threshold solely for the study.

Patient and community experience

Feeling respected and heard
Trust in the program and care team
Language access
Privacy during the visit
Cultural responsiveness
Perceived benefit and burden
Community partner experience

Cost and value

Direct and indirect operating cost
Cost by service line or site
Staff time by activity
Cost per completed referral or achieved outcome
Revenue and reimbursement by source
Budget impact for the sponsoring organization

Claims about savings, return on investment, emergency visits prevented, or life-years saved require appropriate expertise and a transparent model with explicit assumptions and sensitivity analyses.

Define every measure before data collection

For each measure, record:

Measure name and purpose
Exact numerator and denominator
Eligible population
Data source
Collection schedule
Follow-up period
Person responsible
Permitted stratifications
Missing-data rules
Clinical or methodological source
Privacy and suppression rules
Planned analysis and reporting format

Together, these definitions form the project’s data dictionary.

Keep equity visible

An overall average can hide meaningful differences. Work with community partners to decide which comparisons are important and appropriate. Protect privacy when categories or locations include small numbers of people. Report missing demographic data, and do not treat identity itself as the cause of a difference.

Frequently asked questions

How many measures should a mobile clinic track?

There is no universal number. Begin with the primary question, then select the smallest set that can explain the result. A focused evaluation with six well-defined measures is often more useful than a dashboard with dozens that no one uses to make decisions.

What is the difference between an output and an outcome?

An output describes what the program did, such as visits completed or screenings delivered. An outcome describes what changed, such as improved follow-up, better blood pressure control, reduced symptoms, or greater trust.

Can we compare our program with another mobile clinic?

Only when the definitions, populations, services, time periods, and methods are similar enough to support a meaningful comparison. Describe any differences alongside the results.

Should every measure be stratified?

Plan stratification where it can answer an equity or implementation question and where privacy can be protected. Small groups and rare events may require combining periods, broader categories, suppression, or no public reporting.

Framework resources

All research resources

Reviewed by: Mollie Williams, DrPH, MPH
Last reviewed: 2026-08-28