A Resilience-Based Nursing Intervention Framework for Internet Gaming Disorder in Saudi University Health Settings.

Background/Objectives: Internet Gaming Disorder (IGD) is included in ICD-11 and poses a substantial risk to Saudi university students, yet no structured nursing intervention framework exists within Saudi higher education health services. This paper presents the Resilience-Based Nursing Intervention Framework (RBNIF), a three-tiered, theory-driven nursing architecture translating evidence on impulsivity, resilience, and IGD into practice specifications for this setting. Methods: Using secondary analysis of a dataset of 207 gaming students from four King Saud University colleges, framework development followed a four-phase Medical Research Council (MRC) process: theoretical identification (I-PACE, Dual Process Theory, COM-B), evidence synthesis, Behavior Change Wheel/Intervention Mapping, and cultural adaptation via Bernal et al.'s Ecological Validity Framework. Results: The sample (58.9% male; 20-25 years, 61.4%; bachelor's level, 73.9%) yielded three tiers differentiated by a dual-domain screening rule (elevated impulsivity and/or low resilience, rather than a single combined score): Tier 1 (universal psychoeducation); Tier 2 (six-session group program, S-UPPS-P ≥ 52 and/or CD-RISC-10 ≤ 20; 63 of 207 participants [30.4%]); and Tier 3 (10-session RIRDH clinical program, IGDS9-SF ≥ 36, met by 38 of 207 participants [18.4%]). Fifty-two participants (25.1%) met the elevated-impulsivity criterion, and 51 (24.6%) met the low-resilience criterion. Each tier specifies nursing competencies and behavior change techniques, with cultural adaptation integrating Islamic values concepts (sabr, mizan, tawakkul), family protocols, and single-sex delivery. Conclusions: To our knowledge, the RBNIF is the first theory-driven, culturally adapted nursing intervention architecture for IGD in Saudi university health services; a focused, non-systematic search of PubMed, Scopus, and CINAHL identified no directly comparable published framework. It is pre-implementation and requires feasibility testing, pilot evaluation, and a cluster-randomized controlled trial (c-RCT).