Summary
This paper from Claire Su-Yeon Park aims to propose Park's sweet spot theory-driven implementation strategy, which makes optimal safe staffing policy really work in nursing practice.
Content
For the last 40 years, mainstream nursing workforce research has emphasised that having more registered nurses leads to better patient outcomes, and yet staffing policies have failed to implement this crucial concept. Meanwhile, global nursing shortages have become rampant, a problem that only dilutes the skill-mix ratios in the nursing workforce. There remains a dearth of well-researched evidence for a clear threshold on optimal safe staffing levels that could maximise quality of care relative to cost given limited healthcare financial budgets and which could also be fitted into each care setting. Along with that, an implementation strategy for optimal safe staffing levels is non-existent.
An implementation strategy has been developed through interdisciplinary consilience-based theory synthesis of both prospective theory and regulatory focus theory combined with Park's optimized nursing staffing (sweet spot) estimation theory.
A theory-driven novel implementation strategy is proposed, which functions as a nudge strategy that uses the synchronous balance of quality of care, nurse staffing, and cost. It illustrates (1) how to create shared value among patients, nurses, and stakeholders through robust evidence-based, informed shared decision-making rationales on the optimal safe nurse staffing levels and (2) how to induce stakeholders to overcome resistance to innovation and improve their nursing workforce through value chain in management science.
Implications for nursing workforce policy
This novel implementation strategy may be a viable solution to mitigate the nursing shortage by leading stakeholders (1) to compete with each other (on the basis of nursing sufficiency) and (2) to competitively demonstrate the patient-centered value (patient-perceived care quality relative to cost) of their institutions.
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