Nurses’ Mindset and Support Systems Drive Success of Hospital-Wide Bed-Sharing Model

A sweeping survey of more than 700 clinical nurses in China has revealed what makes healthcare workers ready to learn from one another when hospitals shuffle beds across departments, and the answer lies less in seniority or training level than in psychological resilience and how supported nurses feel by their institutions. The study, conducted at a single tertiary hospital in Jiangsu Province and published in BMC Nursing, arrives at a moment when hospital-wide bed-sharing models are spreading rapidly as health systems grapple with surging demand, uneven bed occupancy, and the lingering aftershocks of pandemic-era capacity crises. Under such models, patients are no longer confined to the ward where their admitting specialty resides; instead, beds are treated as a shared hospital resource, and nurses routinely find themselves caring for patients whose conditions fall outside their usual clinical comfort zones.

This operational flexibility comes at a human cost. When a cardiology nurse is redeployed to cover a respiratory ward, or an orthopedic team absorbs overflow medical patients, the boundaries that once defined professional identity begin to blur. Success in this environment depends on what researchers call readiness for interprofessional learning, or RIPL, a measurable construct describing a clinician’s willingness and ability to engage in collaborative learning across professional and departmental lines. The new study, led by Na Li, Wenjuan Wang, Juan Zhou, and Xin Yang of the Second Affiliated Hospital of Nanjing Medical University, set out to quantify that readiness and identify the levers that might raise it.

Between June and August 2025, the team administered a cross-sectional survey to 718 clinical nurses recruited through convenience sampling. Participants completed a self-developed demographic questionnaire alongside three validated instruments: the Readiness for Interprofessional Learning Scale, a psychological capital scale designed for nurses, and a perceived organisational support scale. The RIPL scale, widely used in health professions education research, captures attitudes toward shared learning, teamwork, and the value of understanding other professionals’ roles. Psychological capital, often abbreviated as PsyCap, is a composite of four psychological resources: self-efficacy, hope, resilience, and optimism. Perceived organisational support measures the degree to which employees believe their employer values their contributions and cares about their wellbeing.

The headline finding was encouraging. The nurses posted a mean RIPL score of 80.26 with a standard deviation of 11.49, a level the authors characterize as relatively high. In practical terms, this suggests that frontline nurses in a bed-sharing hospital are not resisting the collaborative demands of the model; most arrive at cross-departmental assignments with a genuine openness to learning from colleagues in other specialties. That openness matters because interprofessional learning is widely regarded as the foundation of interprofessional collaboration, which in turn is tightly linked to patient safety, reduced medical error, and smoother care transitions.

But the study’s real analytical weight lies in its regression modeling. Using hierarchical multiple regression, the researchers tested which factors independently predicted RIPL scores after accounting for demographic characteristics. Three variables emerged as significant. Experience mentoring nursing interns carried a standardized beta of 0.096, psychological capital a beta of 0.348, and perceived organisational support a beta of 0.499. Together, the three explained 66.3 percent of the total variance in readiness scores, an unusually large share for research on workplace attitudes, where models often account for far less. All three associations were positive and statistically significant at the P < 0.001 level.

The dominance of perceived organisational support is the finding most likely to catch the attention of hospital administrators. A beta of 0.499 means that, after controlling for other variables, each increment in how supported a nurse feels corresponds to a substantial rise in readiness to learn across professional boundaries. The theoretical framing of the study draws on the Job Demands-Resources model, a well-established framework in occupational psychology that posits every job involves demands that drain energy and resources that sustain engagement. In the bed-sharing context, cross-departmental deployment is a demand; organisational support, in the form of fair scheduling, recognition, adequate staffing, and responsive management, is a resource. The data suggest the resource side of the equation is doing most of the heavy lifting.

Psychological capital ranked second in predictive strength, and its role is conceptually distinct. Where organisational support is external, PsyCap is internal, a psychological reserve that nurses carry with them into ambiguous situations. A nurse high in self-efficacy believes she can master unfamiliar clinical routines; a nurse high in resilience recovers quickly from the friction of working outside her home unit; hope and optimism sustain motivation when the bed-sharing model produces chaotic days. The study’s results imply that these internal resources are not fixed traits but trainable capacities, and that interventions targeting them, such as structured resilience training or efficacy-building mentorship programs, could raise the collaborative readiness of the entire nursing workforce.

The third significant factor, experience mentoring interns, is perhaps the most intriguing because it points to a virtuous cycle embedded in teaching itself. Nurses who had supervised nursing students or interns scored higher on interprofessional learning readiness than those who had not. The authors suggest that mentoring requires nurses to articulate their own reasoning, model collaboration, and reflect on practice, all activities that reinforce openness to learning from others. Teaching, in other words, is not a one-way transfer from mentor to mentee; it reshapes the mentor. This finding hints at a practical, low-cost strategy: hospitals could expand teaching roles for frontline nurses not only to benefit students but to cultivate a more collaborative senior workforce.

The study does have limits that temper generalization. It was conducted at a single tertiary hospital in Jiangsu Province using convenience sampling, which means the participants may not represent nurses in smaller hospitals, rural facilities, or different regional health systems. Cross-sectional design also prevents causal claims; it is possible, for instance, that nurses who are already more ready for interprofessional learning elicit more organisational support rather than the reverse. The authors themselves frame the work as a starting point, calling for future efforts to strengthen organisational support, optimize teaching mechanisms, and enhance nurses’ psychological capital as pathways toward better interprofessional collaboration capacity.

Still, the implications travel well beyond one Chinese hospital. Hospital-wide bed-sharing is part of a global shift toward flexible capacity management, from surge staffing in the United States to floating pools and cross-ward deployment in European systems. Everywhere it is implemented, the same question arises: will nurses adapt, collaborate, and learn, or will they burn out and disengage? This study offers a data-driven answer, identifying psychological capital and perceived organisational support as the twin engines of adaptation, with mentoring experience as an accessible accelerant. For health systems betting on flexible beds as the future of hospital operations, the message is clear: the model’s success will be decided not in the bed-management software but in the minds of the nurses who staff the wards, and in whether their institutions make them feel valued enough to keep learning across the lines that once divided them.

Subject of Research: Readiness for interprofessional learning among clinical nurses in hospital-wide bed-sharing models and its associated factors

Article Title: Clinical nurses’ readiness for interprofessional learning in the hospital-wide bed-sharing model and its associated factors: a cross-sectional study

Article References: Li, N., Wang, W., Zhou, J., & Yang, X. (2026). Clinical nurses’ readiness for interprofessional learning in the hospital-wide bed-sharing model and its associated factors: a cross-sectional study. BMC Nursing. https://doi.org/10.1186/s12912-026-05469-z

Image Credits: AI Generated

DOI: 10.1186/s12912-026-05469-z

Keywords: nurses, interprofessional learning, hospital-wide bed-sharing, psychological capital, perceived organisational support, nursing management, cross-sectional study, mentoring, job demands-resources model, China, tertiary hospital, patient safety