What if the biggest challenge in responsible gambling is not designing another intervention, but deciding what success actually looks like?
Ask ten people to define healthy gambling and you may receive ten different answers. Is success spending less, gambling less often, setting a limit, using a responsible gambling tool, avoiding high-risk play, reporting greater enjoyment, maintaining financial control, or simply keeping gambling consistent with the rest of one’s life?
The answer is probably “it depends.” That does not mean responsible gambling cannot be measured. It means the field may be trying to compress a multidimensional outcome into a collection of convenient proxies.
What We Can Count Is Not Always What Matters
Digital gambling environments now generate extraordinary amounts of behavioural data. Operators and researchers can examine deposits, losses, session length, gambling frequency, product switching, limit-setting, breaks in play, and hundreds of other indicators. Predictive models can identify behavioural changes that may indicate emerging risk.
These capabilities are valuable. But behavioural data tell us what happened, not always what the behaviour meant for the person. A decrease in gambling could reflect improved control, but it could also reflect financial exhaustion. An increase in limit-setting could indicate healthy planning, or growing concern. A self-exclusion could be a sign that harm has escalated, or evidence that a protective system worked exactly as intended.
Even apparently straightforward metrics can create interpretation problems. More people using a tool may indicate greater awareness and accessibility. It may also indicate that more people are struggling. Fewer self-exclusions may mean reduced harm, or a service that is difficult to find and use. Metrics become meaningful only when they are connected to the outcomes people experience.
Healthcare Faced A Similar Problem
Healthcare has long relied on clinical indicators such as blood pressure, laboratory results, readmission rates, and mortality. These measures remain essential, but they cannot fully describe whether a patient can work, sleep, participate in family life, manage symptoms, or feel heard during treatment.
That limitation contributed to the development of patient-reported outcome measures, commonly called PROMs, and patient-reported experience measures, or PREMs. PROMs ask people directly about their health, functioning, symptoms, and quality of life. PREMs examine how people experienced the care they received, including whether it was accessible, respectful, understandable, and responsive to their needs.
Responsible gambling may be ready for a similar shift. Behavioural measures can tell us about gambling activity. Player-reported measures can help us understand whether gambling remains affordable, intentional, enjoyable, and compatible with the person’s goals and well-being.
What Would Player Health Include?
Player health should not be treated as a euphemism for the absence of gambling disorder. Most people who gamble will never meet diagnostic criteria, yet their experiences can still move in healthier or less healthy directions. A useful framework would capture both protection from harm and the preservation of autonomy and enjoyment.
A core player-reported outcome set could examine financial control, time control, emotional well-being, perceived autonomy, interference with relationships or responsibilities, and whether gambling remains aligned with personal intentions. It could also assess whether the person can stop when planned, whether losses remain tolerable, and whether gambling continues to feel like entertainment rather than an obligation.
A complementary experience measure could ask whether responsible gambling information was understandable, tools were easy to find and use, limits felt meaningful, interactions were respectful, and support was available without stigma. These questions would assess not only whether a program existed, but how it was experienced.
This approach would not replace behavioural data, clinical measures, or population surveillance. It would add the part of the picture that those systems cannot provide on their own.
Different People Can Have Different Healthy Outcomes
Health does not look identical across people. The goals of a recreational lottery player, a professional poker player, and someone returning to gambling after treatment may be very different. Culture, income, age, family responsibilities, and personal values all shape what manageable gambling looks like.
A person-centred framework therefore needs both a common core and room for individual goals. Some outcomes, such as financial stability, autonomy, and freedom from significant harm, may be broadly relevant. Others should be selected or interpreted in context.
This is also why a single behavioural threshold is unlikely to define healthy gambling for everyone. A dollar amount that is inconsequential to one person may be destabilizing to another. Two hours of poker may be a planned social activity for one individual and an unwanted loss of control for another. Context is not an inconvenience in measurement. It is part of the outcome.
What Should Responsible Gambling Optimize?
The field often asks how to measure responsible gambling. A better starting point may be to ask what responsible gambling is intended to produce.
If the answer is simply lower gambling involvement, then expenditure and frequency may be enough. But if the goal is to help people maintain control, make informed choices, avoid serious harm, and preserve gambling as an intentional form of entertainment, success requires a broader measurement system.
The next generation of responsible gambling evaluation should combine three perspectives: what people do, what consequences they experience, and how they experience the systems intended to support them. Behavioural data, player-reported outcomes, and player-reported experiences each answer a different question. Together, they can tell us not only whether behaviour changed, but whether life improved.
We are becoming increasingly sophisticated at counting bets. The more important challenge now is learning how to count what matters.
References
Black, N. (2013). Patient reported outcome measures could help transform healthcare. BMJ, 346, f167.
Kingsley, C., & Patel, S. (2017). Patient-reported outcome measures and patient-reported experience measures. BJA Education, 17(4), 137–144.
Wood, R. T. A., Wohl, M. J. A., Tabri, N., & Philander, K. (2017). Measuring responsible gambling amongst players: Development of the Positive Play Scale. Frontiers in Psychology, 8, 227.
Dr. Travis Sztainert is director of research and education at the International Center for Responsible Gaming and an adjunct research professor in the Department of Psychology at Carleton University. His work focuses on gambling-related harm, responsible gambling and player protection, knowledge translation, and improving the connection between research, policy, and practice. He is particularly interested in emerging gambling products, innovative approaches to prevention and treatment, and ensuring that gambling policy and responsible gaming initiatives are grounded in high-quality evidence.Author’s note: The views expressed are the author’s own and do not necessarily reflect those of the International Center for Responsible Gaming (ICRG). This article is based on previous LinkedIn posts and articles by the author
