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A Collective Intelligence Strategy for Evaluating and Advancing Nurse Autonomy in Primary Care.

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Nurse demand management (NDM) adoption is high in primary care teams, but nurses report challenges with teamwork and accessibility. A new tool, xGID, helps evaluate NDM and guide care model transformation.

Keywords:
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Area of Science:

  • Health Services Research
  • Nursing Practice
  • Primary Care Innovation

Background:

  • European health systems are transitioning to proactive, person-centered care models.
  • Nurse demand management (NDM) empowers nurses for autonomous population health needs response.
  • Standardized evaluation tools are lacking for NDM implementation, leading to intuitive adoption.

Purpose of the Study:

  • To measure the adoption of NDM in primary care teams (PCTs) using the xGID instrument.
  • To foster shared diagnosis, organizational reflection, and targeted recommendations through collective intelligence.
  • To provide a standardized evaluation tool for NDM implementation in primary care.

Main Methods:

  • The xGID instrument was designed and implemented across 47 PCTs in Catalonia.
  • 1474 healthcare professionals participated in the study.
  • Structured surveys assessed NDM adoption dimensions: professional autonomy, teamwork, continuity, and accessibility.

Main Results:

  • Overall NDM adoption scored high at 7.6/10.
  • Significant differences in NDM perception were observed across professional groups and practice areas.
  • Nurses expressed concerns regarding teamwork, longitudinal care, and accessibility, highlighting their critical role and workload.

Conclusions:

  • A standardized NDM evaluation tool is crucial for identifying barriers and transforming care models.
  • The xGID instrument's participatory approach facilitates data-driven decision-making in clinical practice.
  • NDM is positioned as a fundamental component of future primary care systems.