Validation of the ReTA-model: Rehabilitation Trail for Workers on Long-term Sick Leave in the Healthcare
试验速览
- 阶段
- 不适用
- 入组人数
- 64
- 试验地点
- 1
- 主要终点
- Symptom Checklist - 6
研究概览
简要总结
The ReTA-model is a rehabilitation model for return to work after long-term sickness absence (LTSA) due to stress or burnout. The ReTA-model will be validated in this trial among nurses and physicians currently in LTSA. The ReTA-model includes a three-week treatment with exercise, individual and collegial talks with psychology and lecturing. The control group will receive conventional rehabilitation from regular care.
详细描述
The ReTA-model is a rehabilitation model for return to work after long-term sickness absence (LTSA) due to stress or burnout. The ReTA-model will be validated in this trial among nurses and physicians currently in LTSA. The ReTA-model includes a three-week treatment with exercise, individual and collegial talks with psychology and lecturing. The control group will receive conventional rehabilitation from regular care.
研究设计
- 研究类型
- Interventional
- 分配方式
- Randomized
- 干预模型
- Parallel
- 主要目的
- Treatment
- 盲法
- None
入排标准
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •currently on sick leave for burnout
- •employed in the Swedish healthcare services as a nurse or as a physician
排除标准
- 未提供
研究组 & 干预措施
Intervention group
Will receive a rehabilitation intervention
干预措施: ReTA-model (Behavioral)
Controll
Will receive conventional rehabilitation
干预措施: ReTA-model (Behavioral)
结局指标
主要结局
Symptom Checklist - 6
时间窗: 12 months
Decreased points on the SCL-6 scale, with a higher number reflecting depression.
Montgomery Åsberg Depression Rating Scale
时间窗: 12 months
Decreased points in the MADRAS scale with score ranging from 0 to 60, with higher scores reflecting greater depression severity.
Return to work
时间窗: 12 months
At work part or full-time compare to no return to work
Karolinska Exhaustion Disorder Scale KEDS
时间窗: 12 months
Decreased points in the KEDS scale 1-19, qith higher scores reflecting greater exhaustion severity.
次要结局
未报告次要终点
研究者
Emma Hagqvist
Associate Professor
Karolinska Institutet