How to measure a workplace health prevention program
A prevention program should be judged neither by the number of apps purchased nor by a vague promise of savings. You need to measure its deployment, use, accessibility and effects, while protecting individual medical data. Here is a practical measurement framework for employers.
By Rubens Valcy
Founder of MyTwin
Published on
Contents
Workplace health prevention takes budget, time and employee trust. To know whether it works, employers need to define from the outset what they want to improve and which indicators will track progress. The goal is not to monitor individual health, but to evaluate a collective program using appropriate, protected information.
France’s national institute for occupational health and safety (INRS) recommends a structured approach: initial assessment, objectives, action plan, monitoring and evaluation of results. Among other indicators, it cites health and safety, incidents, visits to the company infirmary, absenteeism and turnover. These data points do not all mean the same thing and should never be interpreted in isolation.
Start with a simple theory of action
A program can be described on four levels. Resources include the budget, teams and activated services. Deployment measures whether the program actually reaches the intended populations. Intermediate outcomes cover access, use, satisfaction or referrals. Final outcomes relate to the health, safety or organizational goals set at the outset.
- 01
Resources
The budget, teams and activated services.
- 02
Deployment
Does the program actually reach the intended populations?
- 03
Intermediate outcomes
Access, use, satisfaction or referrals.
- 04
Final outcomes
The health, safety or organizational goals set at the outset.
This logic keeps you from attributing a complex change to the program too quickly. A drop in absenteeism may depend on the season, business activity, management, remote work or an epidemic. It calls for analysis, not an automatic conclusion.
Five families of indicators
Coverage
How many employees have been informed, are eligible and can technically access the service? Breaking the data down by site, contract type or working hours can reveal unequal access, provided anonymity is preserved.
Engagement
The activation rate, use of a first service, continuation of the journey or the drop-out rate help identify points of friction. A high rate does not prove a medical benefit, but a very low rate shows that the program is missing its operational goal.
Quality of experience
Satisfaction, understanding, time to access, ease of use and willingness to recommend shed direct light on the program. Qualitative feedback helps explain why an indicator changes.
Referral and coordination
In aggregate, you can track the number of people referred to a relevant service, the time before care begins, the use of benefits already paid for, or the reduction of duplicate providers. These measures are close to the value proposition of a coordination platform.
Collective outcomes
Depending on the context, these may be indicators of occupational risks, accidents, occupational diseases, absenteeism or aggregated health outcomes. Interpretation must account for the expected time frame and external factors.
Privacy: the red line
France’s data protection authority, the CNIL, states clearly that an employer cannot know its employees’ health data, and that medical records are held by occupational health services.
Roles must be kept separate. The authorized professional or service handles the individual information needed for each person’s journey. The employer manages the contract, access, deployment and collective trends. This separation must be reflected in access rights, contracts and the interface.
How should you talk about return on investment?
Financial ROI compares monetized benefits with program costs. In occupational health, the assumptions can be fragile: the cost of an avoided absence, attributing a hospitalization, or long-term effects. It is more prudent to present several levels of outcomes: implementation, participation, experience, referral, collective outcomes, and then economic impact when the data and methodology allow it.
The U.S. Centers for Disease Control and Prevention (CDC) offer a coordinated, systematic and comprehensive model for building a workplace health program. Its Worksite Health ScoreCard helps assess whether evidence-based interventions have been put in place. The tool first measures the quality of the practices deployed, before claiming to demonstrate any clinical or economic return.
The minimal dashboard
A useful dashboard can fit on a single page: coverage, activation, journeys started, journeys completed, average time to access, satisfaction, use of existing services, referrals made, privacy incidents and key qualitative insights. Each indicator should state its definition, source, period and limits of interpretation.
Employer dashboard
Aggregated information only- Coverage
- Activation
- Journeys started
- Journeys completed
- Average time to access
- Satisfaction
- Use of existing services
- Referrals made
- Privacy incidents
- Key qualitative insights
For each indicator
- Definition
- Source
- Period
- Limits of interpretation
MyTwin for employers is a platform that lets you choose modules, deploy a personalized journey, coordinate human expertise and measure aggregated results. Employers must not access individual medical information. To understand the user experience, see also MyTwin for patients and MyTwin Stories.
Frequently asked questions
There isn’t one. At a minimum, you need to connect deployment, use, experience and outcomes.
Yes, as a collective indicator, but it depends on many factors. On its own, it does not demonstrate that the program is effective.
No. The CNIL, France’s data protection authority, points out that employers are not entitled to know their employees’ health data.
Measure deployment early, then outcomes over time frames that fit the objective. A medical or economic effect often takes longer.
To attribute an effect rigorously, a comparison can be useful. Its feasibility and ethical framework should be assessed with specialists.
Sources
- INRS, December 18, 2023, “Mise en œuvre d’une démarche de prévention”.
- CNIL, page accessed September 9, 2026, “Données sur la santé : un employeur peut-il les connaître ?”.
- CDC, July 15, 2024, “CDC Workplace Health Model”.
- Roemer EC et al., 2022, “A Tool to Advance Workplace Health Promotion Programs”, Preventing Chronic Disease.
This article is provided for information purposes only. It does not replace advice, diagnosis or treatment from a healthcare professional.
