In brief
A nurse-led, systems-focused proposal to reduce burnout by having frontline nurses redesign the work conditions that drive it; it reports aims and preliminary work, not effectiveness results.
What this article is about
Quick Answer
A nurse-led, systems-focused proposal to reduce burnout by having frontline nurses redesign the work conditions that drive it; it reports aims and preliminary work, not effectiveness results.
Student takeaways
Key Takeaways
- This is a funded proposal; apart from preliminary work, it reports aims and rationale, not effectiveness results for RESTORE.
- Background context cited: about 56% of U.S. nurses report burnout, 31.5% of leavers cite it as the primary reason, and burnout is linked to depression, suicide, and worse patient outcomes.
- The proposal frames burnout as an imbalance between job demands and job resources within the work system, not a personal failing.
- Preliminary work completed: a systems analysis of burnout drivers among 6,000 nurses at Banner Health found nurses could identify drivers but not develop solutions.
- Three aims are proposed: adapt RESTORE to engage nurses in system redesign; evaluate its effect on demands, resources, and burnout; and study its scalability and dissemination.
Student summary
Why This Research Matters
This is a funded research proposal from the National Institute of Nursing Research. It describes a plan to adapt, test, and study the scalability of an intervention called RESTORE, short for REducing nurse burnout through SysTems analysis and Organizational REdesign. Because it is a proposal, most of what it contains are aims, rationale, and background statistics rather than results. One part does describe completed preliminary work, which is noted clearly below. The problem is nurse burnout. The proposal cites that over half, 56 percent, of U.S. nurses report burnout, and that burnout is linked to worse patient care, including higher mortality. It also notes that burnout harms nurses themselves, contributing to depression and even suicide, and that 31.5 percent of nurses who leave their positions name burnout as the primary reason. These figures are background context the authors draw on, not new findings from this study. A key conceptual point is how the proposal defines burnout: an imbalance between job demands, the workload and pressures of the job, and job resources, the supports available to meet those demands, within the work system. This systems view reframes burnout as a property of how work is organised, not simply a personal weakness. The proposal is critical of past approaches. Individual-level interventions, such as resilience training, are described as failing to address root causes and placing the burden on nurses to fix their own burnout. Organizational interventions, meanwhile, are often not tailored to the specific drivers on a given unit, do not involve nurses in designing them, and do not scale well to settings with limited resources. RESTORE is proposed as a response to these gaps. The scientific premise is that burnout can be reduced by two linked moves: first, identifying and addressing the context-specific job demands that drive burnout on a particular unit; and second, increasing job resources by giving nursing staff ownership over the design and implementation of unit-level solutions. In other words, the nurses who experience the problems help design the fixes. The proposal reports one piece of completed preliminary work: the team conducted a systems analysis of the drivers of burnout for 6,000 nurses at Banner Health. A revealing observation from that work was that nurses could identify problems but did not know how to develop solutions to address them. RESTORE builds on this by adapting a human-centered design approach the team has used before to help nurses create their own unit-level solutions. Three aims follow. Aim 1 is to adapt the RESTORE intervention so it engages nursing staff in system analysis and in designing, implementing, and evaluating unit-level solutions. Aim 2 is to evaluate whether RESTORE actually reduces job demands, increases job resources, and lowers burnout. Aim 3 is to identify what helps or hinders scaling RESTORE across units and organisations and to develop strategies for spreading it more widely. For nursing students, this proposal is a clear example of thinking about well-being at the systems level. It aligns with a growing consensus that burnout is best addressed by changing working conditions, not just by asking individuals to be more resilient. It also models participatory design, treating frontline nurses as experts on their own work. A few cautions are important. Because this is a proposal, we cannot yet say whether RESTORE works; the Aim 2 evaluation has not produced results here. The background statistics come from other sources and describe the general problem, not this project's outcomes. Finally, the topic touches on serious issues, nurse depression and suicide. If you or a colleague are struggling, this is a signal to reach out for support; confidential help lines and employee-assistance and mental-health resources exist for exactly this reason, and seeking help is a sign of strength, not failure. In summary, RESTORE is a systems-focused, nurse-led plan to reduce burnout by fixing the conditions that cause it. Its promise lies in its design and premise; whether it delivers measurable improvements is a question its planned evaluation still has to answer.
Source abstract
Study Overview
Over half (56%) of U.S. nurses are burned out, and their burnout is associated with adverse patient care consequences, including mortality. Burnout has additional negative consequences for nurse health and well-being, including depression and suicide, and is the primary driver of turnover reported by 31.5% of nurses leaving their positions. Burnout occurs when there is an imbalance between job demands and resources in the work system. Prior efforts to address burnout among nurses have included individual-level or organizational interventions, but few have been rigorously tested. Individual-level interventions often seek to increase nurse resilience, fail to address root causes contributing to burnout, and put the onus on the nurse to fix their own burnout. Organizational interventions are generally not tailored to address unique unit-context-specific drivers of burnout, do not engage nurses in their development and implementation, and are not scalable to resource-limited settings. To address these gaps and in alignment with NINR’s NOSI to address organizational factors to prevent or mitigate nurse burnout, we propose adapting, evaluating, and exploring the scalability of the REducing nurse burnout through SysTems analysis and Organizational REdesign (RESTORE) intervention. Our scientific premise is that hospital nursing staff burnout will be reduced by: 1) identifying and addressing context-specific job demands that act as drivers of burnout, and 2) optimizing job resources for nursing staff through ownership over the design and implementation of unit-level solutions targeting burnout drivers. In our preliminary work, we conducted a system analysis of drivers of burnout for 6,000 nurses at Banner Health; however, nurses did not know how to develop solutions to address these drivers. RESTORE adapts a human-centered design approach we have previously used to develop nurse-driven unit-level solutions to address burnout. Specific aims are to: Aim 1. Adapt the RESTORE intervention to engage nursing staff in system analysis and the design, implementation, and evaluation of unit-level burnout system redesign solutions. Aim 2. Evaluate the effectiveness of RESTORE on reducing nursing staff job demands, increasing job resources, and reducing burnout. Aim 3. Identify ongoing challenges and facilitators that impact the scalability of RESTORE to engage nursing staff in system redesign and address burnout across hospital units and organizations and develop strategies for dissemination. The outcomes of this project will be a rigorously tested RESTORE intervention that can be implemented to address nursing staff burnout in hospital settings. This work addresses critical gaps in current knowledge related to how organizations can effectively use a systems approach to address nursing staff burnout. The proposed study will advance the science and contribute new knowledge related to unit-level drivers of nursing staff burnout that may be amenable to organizational interventions and system redesign, and an effective approach to engaging nurses in systems redesign to reduce burnout.
Evidence appraisal
Main Findings
- This is a funded proposal; apart from preliminary work, it reports aims and rationale, not effectiveness results for RESTORE.
- Background context cited: about 56% of U.S. nurses report burnout, 31.5% of leavers cite it as the primary reason, and burnout is linked to depression, suicide, and worse patient outcomes.
- The proposal frames burnout as an imbalance between job demands and job resources within the work system, not a personal failing.
- Preliminary work completed: a systems analysis of burnout drivers among 6,000 nurses at Banner Health found nurses could identify drivers but not develop solutions.
- Three aims are proposed: adapt RESTORE to engage nurses in system redesign; evaluate its effect on demands, resources, and burnout; and study its scalability and dissemination.
Practice transfer
Clinical Relevance
- Burnout is best understood and addressed at the systems level; nurses and leaders can look for fixable job demands rather than blaming individuals.
- Engaging frontline nurses in designing unit-level solutions (participatory, human-centered design) may increase both resources and buy-in.
- Individual resilience training alone is unlikely to resolve burnout if root causes in the work system remain unaddressed.
- Because RESTORE has not yet been evaluated here, its effectiveness is unproven; nurses should not assume adopting it reduces burnout.
- Given links to depression and suicide, workplaces should ensure confidential mental-health support and normalise help-seeking for nurses.
Faculty notes
Educational Relevance
This NINR-funded proposal is a strong teaching case for systems thinking about clinician well-being. Stress that it is a protocol reporting aims plus prior preliminary work, not effectiveness results; only the 6,000-nurse Banner Health systems analysis is completed, and its takeaway was that nurses could name burnout drivers but not design solutions. Use the demands-resources framing to move students away from viewing burnout as personal fragility and toward organisational and work-system causes. Contrast the critique of individual resilience training with the human-centered, participatory RESTORE approach, and connect it to structural empowerment and shared governance. The three aims (adapt, evaluate, scale) map neatly to implementation-science stages and let you introduce concepts like fidelity, context-specific drivers, and dissemination. Background statistics (56% burnout; 31.5% citing burnout as the primary turnover reason; links to depression, suicide, and patient mortality) are useful for framing severity but should be attributed to their sources, not this study. Handle the depression and suicide content with care, and use it to open a conversation about help-seeking, psychological safety, and available supports. A good critique prompt: how would you rigorously measure demands, resources, and burnout, and control for unit-level confounders?
Critical appraisal
Limitations
- As a proposal, the source reports no effectiveness outcomes for RESTORE; whether it reduces burnout remains untested here.
- The headline statistics are drawn from other literature and describe the general problem, not this project's results.
- Only preliminary work (a single-system analysis at Banner Health) is completed, which may limit generalisability.
Classroom use
Discussion Questions
- How does defining burnout as a demands-resources imbalance change how we try to fix it?
- Why might individual resilience training fail to resolve burnout on its own?
- What are the advantages of involving frontline nurses in designing solutions to their own burnout?
- Why does the proposal emphasise unit-context-specific drivers rather than one-size-fits-all fixes?
- How is nurse burnout connected to patient safety and outcomes?
- What ethical concerns arise from placing the 'onus' on nurses to fix their own burnout?
- How would you rigorously measure whether an intervention actually reduced burnout?
- What makes an organizational intervention scalable to resource-limited settings?
- Why is it important to attribute background statistics to their original sources rather than to this study?
- How can workplaces support nurses experiencing depression or suicidal thoughts while reducing stigma?
Search-ready answers
Frequently asked questions
Does this study prove RESTORE reduces burnout?
No. It is a proposal; the effectiveness evaluation has not produced results in this source.
What is nurse burnout?
A state of exhaustion arising from an imbalance between job demands and available resources in the work system.
Is burnout the nurse's fault?
No. The proposal frames it as a systems problem, best fixed by changing working conditions, not by blaming individuals.
Why isn't resilience training enough?
It can help individuals cope but does not remove the root causes in the work environment.
What is human-centered design in this context?
An approach where frontline nurses help design the solutions to problems they experience.
What did the preliminary work find?
In 6,000 nurses at Banner Health, staff could identify burnout drivers but not develop solutions.
How is burnout related to patient care?
The abstract notes burnout is associated with adverse patient outcomes, including mortality.
Where do the 56% and 31.5% figures come from?
They are background statistics from the wider literature, not results of this project.
What should a nurse do if experiencing depression or suicidal thoughts?
Reach out for help; confidential support lines and employee or mental-health resources exist, and help-seeking is a strength.
What are the three aims?
Adapt RESTORE, evaluate its effect on demands, resources, and burnout, and study its scalability and dissemination.