Antimicrobial resistance (AMR) is one of this century’s most alarming challenges to human health. With the AMR crisis peaking, experts warn that the era of ineffective antibiotics is imminent. The World Health Organization estimates that about half of antimicrobial prescriptions are inappropriate and that about half of patients do not complete their prescribed treatments [1,2].

The rise in AMR is particularly detrimental to low- and middle-income countries, undermining health and development policies aimed at eliminating severe poverty by 2030. According to the World Bank, the financial impact of AMR on health care could range from US $300 billion to over US $1 trillion by 2050. In India, the National Action Plan on Antimicrobial Resistance, launched in April 2017, outlines priorities that are in alignment with the World Health Organization Global Action Plan. The first strategy of the action plan focuses on improving awareness and understanding of AMR through effective communication, education, and training [3,4].

A significant challenge in antimicrobial stewardship (AMS) programs is the extensive knowledge students must quickly acquire. AMR remains a concept frequently misunderstood; several health care professionals, including pharmacists and dentists, incorrectly assume that resistance develops in individuals instead of microorganisms. The current knowledge of optimal antimicrobial use among medical students and practitioners is insufficient, presenting a challenge for educators to develop effective teaching strategies for AMR and AMS [5,6].

In this context, gamification—the incorporation of game features in non-game environments—has emerged as a viable educational instrument in health professions education. Rooted in Kolb’s experiential learning theory, gamification fosters active engagement by enabling learners to apply knowledge in realistic, consequence-driven settings. In addition, Bloom’s taxonomy suggests that game-based learning may enhance higher-order cognitive abilities, including application, analysis, and assessment. Through the incorporation of competition, problem-solving, and feedback, games align with self-determination theory, which highlights autonomy, competence, and relatedness as fundamental motivators for learning [7-9].

Recently, games have been increasingly used in AMS programs, showing greater effectiveness compared with traditional teaching methods [10-12]. Games can enhance learners’ interest in the subject, reinforce prior knowledge, and create a competitive and interactive learning environment. Consequently, games are seen as a valuable addition to current health care education efforts, addressing the shortcomings of conventional teaching techniques [13,14]. This study aims to explore how games can improve knowledge about antibiotic prescription practices by providing an engaging and interactive learning environment.

In this interventional study involving 60 participants, including clinical practitioners, undergraduates (MBBS and interns), postgraduate doctors, and pharmacy students, we implemented a structured approach consisting of pretest and posttest assessments flanking an educational intervention. The intervention used innovative educational games designed for this study. These games were designed to cover a comprehensive array of topics crucial to antimicrobial therapy. They encompassed empiric and specific antimicrobial treatments, the intricate dynamics of pharmacokinetics and pharmacodynamics of antibiotics, optimal dosages and durations for antibiotic regimens, intrinsic antibiotic resistance, effective antifungal strategies, combined antibiotic therapies, and the use of biomarkers specific to various infections such as those of the respiratory tract, gastrointestinal tract, urinary tract, skin and soft tissues, and bloodstream (including sepsis), and acute undifferentiated fever.

Pretest analysis revealed that, of the 60 participants, the proportion of participants that answered at least one question correctly was 41.7% (n=25) for respiratory tract infections, 40% (n=24) for gastrointestinal tract infections, 35% (n=21) for urinary tract infections, 26.7% (n=16) for skin and soft tissue infections, 18.3% (n=11) for bloodstream infections (including sepsis), and 36.7% (n=22) for acute undifferentiated fever. Posttest analysis showed significant improvements, with the proportion of participants that answered at least one question correctly for respiratory tract infections increased to 93.3% (n=56), for gastrointestinal tract infections increased to 80% (n=48), for urinary tract infections increased to 71.7% (n=43), for skin and soft tissue infections increased to 66.7% (n=40), for bloodstream infections (including sepsis) increased to 73.3% (n=44), and for acute undifferentiated fever increased to 81.6% (n=49).

The following 6 preintervention and postintervention questionnaire components were assessed:

Table 1 shows the study results assessing changes in the 6 components from pretest to posttest. Each component demonstrated an increase in the proportion of participants who answered at least one question correctly after the intervention. In component 1, the posttest mean score of 10.87 (SD 7.63) is slightly lower than the pretest mean score of 11.62 (SD 9.02), but the improvement in participants with adequate knowledge (from n=25, 41.7% to n=56, 93.3%) was statistically significant (P=.02). Component 2 shows a more pronounced increase in participants with adequate knowledge (from n=24, 40% to n=48, 80%), with mean scores decreasing from 8.56 (SD 5.62) to 7.56 (SD 2.51); a highly significant P value less than .001 indicates a substantial difference. Component 3 also saw improvement in the number of participants with adequate knowledge (from n=21, 35% to n=43, 71.7%), which was significant (P=.007), although the mean score slightly decreased from 14.56 (SD 8.51) to 12.37 (SD 10.42). Component 4 demonstrated an increase in the number of participants with adequate knowledge (from n=16, 26.7% to n=40, 66.7%), with a highly significant P value less than .001, despite a decrease in the mean score from 18.50 (SD 25.55) to 15.5 (SD 14.34). Component 5 saw a notable increase in participant percentage score (from n=11, 18.3% to n=44, 73.3%), with a slight mean score increase from 21.37 (SD 18.56) to 22.43 (SD 17.60) and a significant P value of .02. Finally, component 6 showed a participant percentage score increase (from n=22, 36.7% to n=49, 81.6%), with a marginal mean increase (from 19.89, SD 17.51 to 20.17, SD 1.27) and a highly significant P value less than .001.

Overall, these results suggest that the intervention was effective across components, with statistically significant improvements in participant scores and response rates. The test improvements are represented in Figure 1. Paired t tests were used to compare pretest and posttest results for each component. A P value less than .05 was judged as statistically significant. The mean differences were determined using a 95% CI. To quantify the magnitude of change, effect sizes were calculated using Cohen d. Even though posttest success rates increased dramatically, minor decreases in mean scores in specific components (eg, components 1 and 3) might be attributable to a greater number of participants scoring near the passing threshold rather than achieving consistently high scores. This pattern suggests a broader distribution of correct responses, but with considerable variety in depth of knowledge. This difference might be ascribed to the variation in question difficulty and the distribution of incomplete tries among several items within a component’s section. Although more participants selected correct answers overall, individual scores may have been lower because scoring required completely correct answers (no partial credit), and a small number of low posttest outliers may have influenced the mean.

Participants reported heightened engagement and interest in the subject matter due to the interactive and competitive nature of the games, favoring this approach over traditional lectures for retaining complex information. This study underscores that innovative games effectively enhance knowledge and understanding of antimicrobial therapy among medical students and faculty. This method shows promise as a valuable supplement to traditional educational techniques, addressing the limitations of passive learning strategies. The substantial improvements in posttest scores across all infection categories highlight the effectiveness of this interactive approach in enhancing comprehension and retention of complex AMR concepts.

The findings of this interventional study demonstrate the efficacy of game-based learning tools in improving AMS knowledge and promoting rational antibiotic use across diverse clinical contexts. The gamified intervention was developed according to experiential learning theory (Kolb), encouraging participants to apply clinical decision-making skills in virtual environments. This approach incorporates competition, peer interaction, and immediate feedback, and draws on self-determination theory to promote autonomy, engagement, and motivation. Learning goals were aligned with the Bloom taxonomy, focusing on the application, analysis, and assessment stages of cognition. A total of 60 participants, including undergraduate students, interns, postgraduate physicians, clinical practitioners, and pharmacy students, completed pretest and posttest assessments for this educational intervention that used purpose-designed instructional games.

There were significant improvements across all 6 infection types. For respiratory tract infections, the percentage of participants with appropriate antibiotic knowledge increased from 41.7% (25/60) in the pretest to 93.3% (56/60) in the posttest. Although the mean score decreased from 11.62 (SD 9.02) to 10.87 (SD 7.63), this change was statistically significant (P=.02), indicating it had a meaningful educational effect. This study supports prior data promoting gamification as an effective approach for teaching complex treatment concepts and facilitating active memory [13-15].

In urinary tract infections, the proportion of participants with appropriate knowledge increased from 35% (21/60) to 71.7% (43/60), whereas the mean score decreased from 14.56 (SD 8.51) to 12.37 (SD 10.42). The change remained statistically significant (P=.007), indicating effective knowledge translation. In skin and soft tissue infections, similar trends were seen: the proportion of correct responses went from 26.7% (16/60) to 66.7% (40/60), and the average score went from 18.50 (SD 25.55) to 15.5 (SD 14.34; P<.001) [16-18].

There was a significant improvement in bloodstream infections, with the proportion of participants with appropriate knowledge increasing from 18.3% (11/60) to 73.3% (44/60). The average score went up a little, from 21.37 (SD 18.56) to 22.43 (SD 17.60; P=.02). This finding supports the conclusion that participants not only learned to identify appropriate antibiotic regimens but also retained their quantitative knowledge. These results highlight how important interactive teaching methods are for conveying AMS care fundamentals [19,20].

In cases of acute undifferentiated fever, the proportion of participants with appropriate knowledge increased from 36.7% (22/60) to 81.6% (49/60). There was a statistically significant change (P<.001) in the mean scores, which increased from 19.89 (SD 13.24) to 20.17 (SD 12.75). The games incorporated key concepts that are not often covered in traditional classes, such as biomarker-guided treatment (eg, procalcitonin), empiric therapeutic techniques, and pathogen-specific approaches. Previous research has shown that active learning methods improve retention of multilayered decision-making frameworks [21,22].

Although the mean test scores differed somewhat, the consistent and statistically significant increase in the proportion of participants across all 6 infection groups indicates that the intervention had a favorable effect. Game-based learning aligns with global guidelines emphasizing the need for new, interesting, and competency-based teaching approaches to improve antibiotics prescribing and reduce AMR [12,23,24]. The observed disparity between mean score trends and percentage increases across components indicates that group-level accuracy improved, while individual score distributions remained variable. This is most likely attributable to scoring standards and question design rather than a decline in knowledge.

Participants also reported improved engagement, motivation, and understanding of AMS concepts, consistent with research showing that game-based methods result in greater learner satisfaction and better preparation for clinical practice than passive teaching methods.

This study has several limitations. Reliance on convenience sampling and the absence of a control or comparator group limit the ability to establish causation between the intervention and improved knowledge outcomes. Second, participants were not stratified by discipline (eg, medicine vs pharmacy) or baseline knowledge, which may have affected the intervention’s efficacy. Third, the absence of randomization or blinding in group allocation introduces the potential for selection and performance bias. The limited sample size and single-institution context may affect the generalizability of the results.

We advocate for the use of more rigorous methodologies for future research, such as randomized controlled trials or stepped-wedge cluster trials, including stratification based on educational background and baseline knowledge. Incorporating a comparison group (eg, conventional lecture-based instruction) would facilitate assessment of the true impact of gamified learning on AMS knowledge and retention.

With a heightened emphasis on education about AMR and AMS, numerous challenges will persist. However, these challenges could be alleviated through more immersive and interactive educational techniques. Gamified education presents a promising solution to address many of these issues. It is increasingly important to educate a diverse range of health care professionals nationally and globally within a short time frame to counter the looming threat of AMR.