跳至主要内容
临床试验/NCT06978790
NCT06978790尚未招募不适用

Generative Artificial Intelligence Nurse Staffing (GAINS) Study

University of Hawaii0 个研究点目标入组 660 人开始时间: 2026年4月1日最近更新:

试验速览

阶段
不适用
状态
尚未招募
发起方
入组人数
660
主要终点
Qualitative Interviews to Evaluate Feasibility, Normalization, and Acceptability of the GAINS Intervention

研究概览

简要总结

This study is guided by Maslach's Burnout Theory and with Normalization Process Theory supporting the implementation of the GAINS intervention by facilitating its integration into routine system-level practice. In Year 1, the investigative team will collaborate with hospital-based nursing leadership and key stakeholders to identify staffing-specific factors essential for operationalizing the GAINS AI model/intervention. In Year 1, the investigators will also conduct a survey amongst nursing staff to measure baseline burnout. In Year 2, the AI-staffing intervention will be implemented with the medical-surgical nursing float pool team. In Year 3, the investigators will first repeat the nurse burnout survey and second, expand the intervention to include the nursing assistant float pool team. In Year 4, the investigators will conduct the final burnout survey with nurses, assess feasibility of GAINS (target vs. actual staffing- nurses and nursing assistants), and assess preliminary efficacy of GAINS to reduce costs related to staffing. the investigators will compare outcomes at three time points (pre, mid, and post-intervention). Interviews with nurses, nursing assistants, unit nurse managers, and leadership will further explicate the intervention's acceptability, feasibility, and impact on burnout.

研究设计

研究类型
Interventional
分配方式
Non Randomized
干预模型
Sequential
主要目的
Health Services Research
盲法
None

入排标准

年龄范围
18 Years 至 —(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • Registered nurses, nursing assistants, or key stakeholders
  • Employed by The Queen's Medical Center
  • Working at least 24 hours per week
  • Position associated with medical-surgical units where float pool nurses work

排除标准

  • Employees working less than 24 hours per week at The Queen's Medical Center
  • Employees whose roles are not related to medical-surgical units

结局指标

主要结局

Qualitative Interviews to Evaluate Feasibility, Normalization, and Acceptability of the GAINS Intervention

时间窗: Up to 3 years

We will interview 10-20 key stakeholders to collect and analyze qualitative data to evaluate the feasibility, normalization, and acceptability of the GAINS intervention. T3here are two phases of the GAINS intervention. 1. Phase I: GAINS study applied to nurses in Year 2 2. Phase 2: GAINS study applied to nurses and nursing assistants in Year These qualitative interviews will be held in Year 3 after Phase 1 over a 1-month time frame and Year 4 after Phase 2 completion of the study over a 1-month time frame. Interviews will be conducted to gather in-depth feedback on the intervention's feasibility, acceptability, and normalized into nursing practice.

Maslach's Burnout Inventory

时间窗: Up to 2.5 years

Using Maslach's Burnout Inventory, burnout is the primary outcome measure and will assess burnout (1) at baseline over a time frame of 2 weeks, (2) 12-months after the GAINS intervention is applied to the float pool nurses over a time frame of 2 weeks, and 12-months after the GAINS intervention is applied to the float pool nurses and nursing assistants over a time frame of 2 weeks.

次要结局

  • Total Cost: Travel Nurse and Nurse Overtime(Up to 2 years)
  • Optimization Staffing Rates [Target staffing rate - Actual staffing rate](Up to 2 years)

研究者

发起方
University of Hawaii
申办方类型
Other
责任方
Principal Investigator
主要研究者

Katie Azama

Assistant Professor

University of Hawaii

相似试验