The Use of Physiologic Measures and Sleep Health Promotion to Identify and Mitigate Predisposing Factors of Suicidal Ideation in Nurses
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 入组人数
- 25
- 试验地点
- 2
- 主要终点
- Columbia Suicide Severity Rating Scale (Intensity of Ideation) - Number of Participants With a Positive CSSRS Ideation
研究概览
简要总结
The purpose of this study is to identify factors (sleep, psychiatric characteristics, stressful life events, and work environment characteristics) that potentiate or mitigate adverse effects of real-world stressors that predispose nurses to suicidal risk.
The specific aims are:
Aim 1. To investigate associations between sleep, stressful life events (life stressors, discrimination, lateral violence), psychiatric characteristics (psychiatric diagnosis, subjective mood), work environment characteristics (workload, shift type and duration, overtime, nurse work environment, and team relations) and stress (self-report and heart rate variability) in working nursing professionals while controlling for standard covariates known to influence stress.
Aim 2. To determine if stress exposure (self-report and HRV) is associated with predisposing factors (sleep, stressful life events, additional psychiatric characteristics, and work environment characteristics), and to explore whether stress mediates the effect of predisposing factors on suicidal ideation in working nursing professionals.
Exploratory Aim. To explore the preliminary impact of an existing sleep intervention (sleep health promotion kit) on self-reported stress, HRV, sleep, and psychiatric health outcomes including depression, burnout, and suicidal ideation.
This record will focus on the Exploratory Aim.
详细描述
Despite being the largest healthcare workforce in the United States (US) (~5 million nurses), evidence about suicidal ideation and predisposing factors that contribute to suicide in nurses is limited. Outside of nursing, there is substantial evidence that an individual's psychiatric characteristics (psychiatric diagnosis; decision-making; social cognition; mood) and/or life stressors (e.g., death of a loved one, divorce, discrimination, or lateral violence) are significantly associated to suicidal ideation. Yet, it is unclear why nurses have higher rates of suicide compared to other populations and which factors predispose nurses to higher risk for suicidal behavior. It has become critical to test new approaches to reduce stress in nurses and subsequently mitigate suicide ideation. There is early evidence that sleep disturbances may induce increased stress and subsequently higher psychological risk, including depression, a known predisposing risk factor for suicidal risk. Evidence about the associations between sleep and suicidal ideation is limited but early studies show promise that interventions promoting sleep health may help mitigate suicidal risk. The isolation of predisposing factors for stress in nurses and investigation of potential interventions to counteract such stress may help to identify and mitigate suicide risk in nurses. Past evidence about suicide has been limited to post-mortem data inhibiting an understanding of which personal, psychosocial, and work environment factors predispose a nurse to suicidal behaviors. The combined study of self-report and physiologic data may help us better understand sources of stress adaptation in the search for underlying biological mechanisms associated with suicide and other suboptimal psychologic health outcomes.
研究设计
- 研究类型
- Interventional
- 分配方式
- Na
- 干预模型
- Single Group
- 主要目的
- Health Services Research
- 盲法
- None
入排标准
- 年龄范围
- 21 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- 未提供
排除标准
- 未提供
结局指标
主要结局
Columbia Suicide Severity Rating Scale (Intensity of Ideation) - Number of Participants With a Positive CSSRS Ideation
时间窗: Follow-up: Week 8
This outcome measures the number of participants who had a score greater than 0 on the CSSRS at Follow-up (Week 8). CSSRS total score range is from 0-6, with the higher number indicating more intense ideation. Any score above 0 indicates a positive ideation in the past month.
Physiologic Stress Response- Heart Rate Variability [Group Mean Difference Between Week 1-4(Control) and Week 5-8(Intervention)]
时间窗: 8 weeks
Participants will wear the OuraRing to capture physiologic continuous heart rate variability. Heart rate variability is the variance in time between heart beats (RR intervals on an EKG) and is calculated using root mean square of successive differences between heartbeats. The middle 50% of 20-25 year olds usually have an average HRV in the 55-105 range, while 60-65 year olds tend to be between 25-45. In general, a higher heart rate variability is considered better as it indicates a more adaptable and resilient autonomic nervous system, which can respond effectively to different stressors. We calculated the mean difference between the control time period (Week1-4) and the intervention time period (Week 5-8).
Perceived Sleep Quality Via Pittsburgh Sleep Quality Index Global Sleep Score (Group Mean)
时间窗: Follow up- Week 8
Scaling: Self reported Survey Instrument Range: 0 to 21 Interpretation: A global sleep score over 5 indicates poor sleep quality.
Physiologic Sleep Data - Sleep Duration (Mean Daily Hours)
时间窗: 8 weeks
This is to measure the average amount of daily sleep (hours) over an 8 week period. The physiologic data is collected via a wearable device (OuraRing). We calculated the mean difference in sleep duration (hours) between Week 1-4 (Control time period) and Week 5-8(Intervention time period).
Number of Participants With at Least 1 Suicidal Behavior (Frequency)
时间窗: 8 Weeks
Total number of participants with at least 1 suicidal behavior that occurred during the given time period of 8 weeks.
次要结局
- Burnout Screening Via Maslach Burnout Inventory (Subscale 1: Emotional Exhaustion) - Mean Composite Score(Week 8)
- Burnout Screening Via Maslach Burnout Inventory (Subscale 2: Depersonalization) - Mean Composite Score(Week 8)
- Burnout Screening Via Maslach Burnout Inventory (Subscale 3: Personal Accomplishment) - Mean Composite Score(Baseline- Week 1)
- Burnout Screening Via Maslach Burnout Inventory (Subscale 3: Personal Achievement) - Mean Composite Score(Week 8)
研究者
Allison Norful
Assistant Professor
Columbia University