Department of Psychiatry, Dartmouth Psychiatric Research Center, Concord, NH 03301, USA.
Psychiatr Serv. 2011 Apr;62(4):360-6. doi: 10.1176/ps.62.4.pss6204_0360.
Rates of cigarette smoking are high among people with severe mental illnesses compared with the general population (45%-90% versus 20%). The authors developed a Web-based computer decision support system that is tailored for use by people with cognitive deficits and is designed to stimulate motivation to quit smoking by using evidence-based treatment.
This initial study used a quasi-experimental design to test the decision support system among a convenience sample of 41 smokers with severe mental illnesses. Researchers interviewed participants at baseline and two months later to assess for behaviors indicative of motivation to quit smoking. A negative binomial regression modeled the outcome and controlled for baseline group differences.
Participants who used the decision support system were significantly more likely to show any behavioral motivation to quit smoking (such as meet with a clinician to discuss cessation, initiate cessation treatment, or otherwise attempt to quit) (67% versus 35%; χ(2)=4.11, df=41, p=.04). Further, using the decision support system increased by a factor of 2.97, or about 300%, the expected number of ways that a participant showed motivation.
The encouraging results of this pilot study indicate that electronic decision supports may facilitate motivation to quit smoking and use of cessation treatment among people with severe mental illnesses.
与普通人群（20%）相比，患有严重精神疾病的人群的吸烟率较高（45%-90%）。作者开发了一种基于网络的计算机决策支持系统，专为认知障碍患者设计，旨在通过使用基于证据的治疗来激发戒烟动机。
本初步研究采用准实验设计，在 41 名患有严重精神疾病的吸烟者中对决策支持系统进行了测试。研究人员在基线和两个月后对参与者进行访谈，以评估表明戒烟动机的行为。负二项回归模型预测了结果，并控制了基线组的差异。
使用决策支持系统的参与者更有可能表现出任何戒烟的行为动机（如与临床医生会面讨论戒烟、开始戒烟治疗或其他试图戒烟的行为）（67%对 35%；χ(2)=4.11，df=41，p=.04）。此外，使用决策支持系统将参与者表现出动机的方式的预期数量增加了 2.97 倍，约为 300%。
这项初步研究的令人鼓舞的结果表明，电子决策支持系统可能有助于患有严重精神疾病的人戒烟动机和使用戒烟治疗。
