When a mental health game enters schools, delivery matters too

From a game to a school program

Digital games can turn psychological concepts into stories, tasks and practice. Yet offering content on a phone and delivering a useful support program in everyday life are separate research questions. Who schedules the time, whether the material suits the age group, and whether people want to continue can affect what they actually encounter.

The Australian Future Proofing trial, published in 2025, examined these questions at scale. It evaluated SPARX, a game-based cognitive behavioral program, as universal prevention in schools. It was not an individual treatment trial restricted to patients diagnosed with depression.

No added advantage at 12 months

The intention-to-treat analysis found a between-group difference in symptom change of −0.05 points at the primary 12-month endpoint, with a 95% confidence interval of −0.36 to 0.23 and p = .75. It did not establish an additional reduction in depressive symptoms for this delivery model. Secondary anxiety, psychological distress and insomnia outcomes also showed no clear between-group advantage.

This is an average comparison for the tested program, age group and school implementation. It does not establish equivalence, nor does it settle the value of every digital game, another version or an intervention for a clinical population. For a universal prevention initiative, failing to achieve the expected result is itself important evidence.

What the 22% completion figure means

In the intervention group, 87% installed SPARX, 57% completed the first module, 22% completed at least four, and 12% completed all seven. The abstract’s 22% figure should therefore not be retold as full completion. Installation, starting, reaching a content threshold and finishing describe different levels of engagement.

Schools were expected to provide some class time. Many instead asked students to complete SPARX independently outside school because of timetable and phone-use constraints. The authors consider implementation a possible explanation for low engagement and the overall findings. However, class-time and outside-school delivery were not separately randomized. The trial cannot show that scheduling lessons would necessarily make the program effective.

More participation is not automatically more treatment

Additional analyses compared engagement groups. Higher engagement was associated with a more favorable symptom change immediately after intervention, but those participants already differed from controls at baseline. Motivation, need or available time may distinguish people who complete more. This comparison is not a randomized dose trial.

Baseline participation represented about 31% of invited students. At 12 months, 4841 provided follow-up data, leaving approximately 24% without follow-up. Statistical assumptions about missing data do not remove questions about nonparticipants and nonresponders. The pandemic, developmental fit and an older game presentation were further limitations or possible explanations discussed by the authors.

Study both content and the conditions of use

One implication for digital wellbeing research is to describe content and delivery separately: which exercises are offered, who makes time for them, what support is available, who starts or leaves, and when outcomes are assessed. This is a proposed research direction, not a validated improvement strategy.

Future studies could begin with feasibility work across different schools, then directly compare support arrangements while listening to students about relevance, burden and comprehension. Completion can indicate exposure, but it should not become the sole definition of success or a reason to put additional task pressure on participants.

Global research on games needs these details: the basis of the content, its use under real conditions, and the changes observed for particular people. Connecting all three provides a clearer account of a digital support program’s value.