Efficacy of telemedicine consultation compared to in-person consultation for patients with major mental illness: An open-label randomised control trial
概览
- 阶段
- 不适用
- 状态
- 招募中
- 发起方
- Multidisciplinary Research Unit MRU of AIIMS Deoghar under DHR
- 入组人数
- 496
- 试验地点
- 1
- 主要终点
- 1. change in CGI-S scores at all consultations to assess severity.
概览
简要总结
Despite the wide use of telemedicine across India, the efficacy of telemedicine over in-person consultations has yet to be established for mental health. This is one of the barriers to the broader utilisation and expansion of the services from the patient’s and clinicians’ points of view. We could not find similar studies in the Indian context. Paper to public health translation of telemedicine guidelines requires evidence for its usefulness across contexts, disorders, and demographics. The current study will help generate evidence for the feasibility of telemedicine compared to in-person consultations for patients with severe mental illnesses like schizophrenia, bipolar disorder, OCD and depression. The hypothesis for this trial is that, the efficacy of telemedicine will be equal to an in-person consultation for severe mental illness, and telemedicine will be cost-effective compared to in-person consultations for the same purpose.
研究设计
- 研究类型
- Interventional
- 分配方式
- Randomized
- 盲法
- None
入排标准
- 年龄范围
- 18.00 Year(s) 至 90.00 Year(s)(—)
- 性别
- All
入选标准
- •• Adult patients diagnosed with major mental illness like Schizophrenia Bipolar Disorder Major Depressive Disorder and OCD were diagnosed using ICD
- •• Able to provide written informed consent.
- •• Having Mobile phone with WhatsApp facility.
排除标准
- •Patients with severe disease as determined by requiring inpatient care or referral to a higher centre for intervention.
结局指标
主要结局
1. change in CGI-S scores at all consultations to assess severity.
时间窗: Baseline, 15th, 30th, 45th day
次要结局
- 1. Change in Positive and Negative symptoms scale (PANSS) scores for schizophrenia.(2. Change in Hamilton rating scale for depression (HAM-D) for Depression.)
研究者
Santanu Nath
All India Institute of Medical Sciences-Deoghar