Violence against healthcare workers (HCWs) is increasingly recognized as a global public health emergency, eroding not only the safety of frontline providers but also the integrity of healthcare systems themselves (1). The pervasiveness of this issue is underscored by extensive international research. A 2024 narrative review by O'Brien et al. (2) highlights that despite decades of interventions, workplace violence (WPV) is worsening globally in both severity and frequency, driven by factors like long wait times, poor communication, and organizational failures. This is corroborated by the large-scale ViSHWaS global survey, which found that over half (55%) of HCWs had experienced firsthand violence, with patients or their families being the perpetrators in the majority of cases (3). The consequences are severe, contributing to burnout and a diminished workforce, a dynamic influenced by factors ranging from systemic pressures to individual characteristics like emotional resilience (4). In Nepal, the situation has reached a critical juncture, as escalating physical assaults and incidents of hospital property destruction have exposed deep-seated systemic pressures, ranging from chronic resource constraints to inadequate communication channels (5–7). While national data is limited, localized studies from urban teaching hospitals indicate that nurses often bear a disproportionate burden of this violence compared to doctors, particularly verbal abuse (8, 9). Although stricter legal penalties have been introduced in an attempt to deter attacks, they alone have not curbed the violence, signaling that punitive measures do little to address the root causes (7).

Traditional approaches to HCW violence often emphasize punitive or incident-based responses, yet frequently fail to capture the complex, feedback-driven dynamics underlying such events. To address this gap, this opinion piece employs system dynamics modeling to dissect the interconnected factors fueling HCW violence in Nepal (10). Beyond categorizing individual incidents, this approach illuminates how resource scarcity and prolonged waiting times—often perceived by patients as unjust—reinforce frustration and aggression. By mapping these reinforcing loops, I move past a purely descriptive narrative to propose a targeted intervention: a novel mobile application designed to enhance transparency around wait times, manage patient expectations, and improve communication. This digital tool is conceptualized not as a panacea, but as a strategic instrument to disrupt key feedback loops, thereby mitigating a primary trigger of aggression. Through this systemic lens, I argue that sustainable change in Nepal's healthcare environment demands multifaceted solutions capable of transforming an under-resourced and tension-laden system into one that is safer and more equitable for providers and patients.

Violence against HCWs in Nepal is not an isolated phenomenon; rather, it emerges predictably from the pressures and constraints of an overburdened healthcare system. Figure 1 presents a simplified, conceptual system dynamics model focusing on the core vicious cycle that perpetuates this crisis. This primary loop illustrates how high patient volumes and resource scarcities escalate the risk of violence, ultimately harming both HCWs and patient outcomes. This core mechanism is then amplified by several interconnected reinforcing feedback loops involving cultural practices, political dynamics, and the direct impact of violence on healthcare professionals.

The primary objective of the proposed intervention is to disrupt the core feedback loops driving violence by enhancing systemic transparency and managing patient expectations. To achieve this, a novel mobile application, “Sustha Samaya” (which translates to “Healthy Time”), is proposed. This intervention is designed to target the critical leverage points of excessive waiting times and communication breakdowns, thereby fostering a more predictable and less frustrating healthcare experience.

Punitive measures are insufficient to curb violence against HCWs because, as this analysis demonstrates, the phenomenon is rooted in systemic failure. The system dynamics model in Figure 1 offers critical insights into why purely punitive measures—such as harsher legal penalties—have had limited success (7). These measures address only a single node in a complex, interlocking network of factors. Without tackling underlying drivers—resource scarcity, breakdowns in communication, entrenched cultural norms such as “Afno Manche,” and political interference—violence is likely to persist and potentially worsen (21). This echoes broader public health research that has repeatedly shown violence to be a symptom of deeper systemic weaknesses in healthcare (22). Indeed, an umbrella review by Rossi et al. (23) substantiates this systemic framing on a global scale, summarizing that common factors contributing to workplace violence in healthcare settings include high stress levels, prolonged work hours, dissatisfaction with treatment, excessive waiting times, and high medical costs, often positioning patients and their relatives as the primary offenders. The review further notes the pervasive issue of underreporting and the severe consequences of violence—such as diminished job satisfaction, burnout, and detrimental effects on patient care—all of which align with the structural issues identified within the Nepali context. For instance, studies in India highlight overcrowding, long wait times, and insufficient communication as triggers for aggression toward providers (24), while work in sub-Saharan Africa underscores how limited resources and weak governance directly threaten HCW safety (25). Thus, the Nepali context exemplifies a larger, global pattern of healthcare violence fueled by multifaceted systemic deficiencies.

Based on this systemic analysis, achieving sustainable change necessitates a comprehensive strategy that extends beyond any single intervention. Key recommendations include:

This opinion piece utilizes a conceptual system dynamics model, which, while effective for illustrating complex feedback structures, has inherent limitations. The model is a qualitative abstraction intended to map relationships rather than a quantitative simulation to predict outcomes. The connections and polarities are based on a synthesis of existing literature and may not capture the full heterogeneity of experiences across all healthcare settings in Nepal.

Furthermore, the proposed “Sustha Samaya” mobile application, while grounded in the model's logic, faces practical hurdles. Its feasibility is contingent upon overcoming challenges related to data integration from disparate hospital systems, ensuring reliable internet connectivity, and addressing varying levels of digital literacy among the patient population. The behavioral impact also warrants consideration; while the app is designed to reduce frustration, it cannot be assumed that access to information will uniformly alter entrenched behaviors without complementary social and educational interventions.

The system dynamics driving violence against Nepal's healthcare workers are clearly demonstrated by this analysis: a predictable confluence of resource scarcity, prolonged waiting times, entrenched systems of favoritism like “Afno Manche,” and pervasive impunity. Technological interventions, particularly mHealth applications, may offer temporary relief by addressing friction points; the proposed “Sustha Samaya” app is conceptualized as one such tool focused on waiting and communication, yet it cannot fundamentally alter the trajectory of a system under such strain. True transformation requires grappling with the uncomfortable reality that this violence is not an aberration, but an expected output of the current systemic configuration. This underscores the need to critically examine the locus of responsibility for systemic reform and to consider the long-term viability of a healthcare system where providers consistently operate under the threat of violence.