Automated Assessement of Mental Health in the Work Place

工作场所心理健康的自动评估

• 批准号: 7122956
• 负责人: Ramesh Farzanfar
• 金额: $ 41.55万
• 依托单位: BOSTON MEDICAL CENTER
• 依托单位国家: 美国
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-09-30 至 2009-03-29
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7122956
• 关键词: absenteeism; automated health care system; clinical depression; clinical research; counseling; education evaluation /planning; employee; functional ability; health behavior; health care service utilization; health service demonstration project; health services research tag; human subject; mental disorder diagnosis; mental disorder prevention; mental health education; occupational health /safety; patient oriented research; psychological tests; psychotherapy; quality of life; statistics /biometry; telemedicine; work site

DESCRIPTION (provided by applicant): The aim of this proposal is the development and initial evaluation of a confidential workplace program that uses computer telephony to communicate with workers, to evaluate whether they have a mental health disorder which could impact their workplace performance and that refers untreated and inadequately treated workers to alternate treatment settings. We propose to develop and conduct a randomized evaluation of Telephone-Linked Communications for Detection of Mental Health Disorders in the Workplace (TLC-Detect). TLC-Detect will: a) assess an employee's mental health for a group of relevant mental health disorders by administering the PRIME-MD (Primary Care Evaluation of Mental Disorders) Patient Questionnaire, 2) provide recommendations for referral and other treatment options for employees who have a mental health disorder, 3) educate and motivate employees to engage in treatment, 4) implement automated periodic follow-ups to monitor mental health symptom severity and treatment maintenance, 5) educate and motivate the employees to remain in treatment. The specific goals of this study are: to design and develop TLC-Detect that consists of a mental health Diagnostic Module that (a) will detect common mental health disorders that affect workplace productivity, (b) Symptom Severity Module that assesses the symptom severity for each identified mental health condition, (c) a Treatment Module that assesses the willingness of the employee who has a mental health condition to engage in treatment and educates and counsels that person to engage in treatment, (d) a Follow-up Treatment Module that will monitor the person's treatment maintenance. In the randomized clinical trial, the following hypotheses will be tested: 1) The TLC-Detect group will have less absenteeism and presenteeism compared to the control group measured in hours/days lost [e.g., absenteeism time and presenteeism time].2) A larger proportion of the TLC-Detect group will be in mental health treatment than the control group. 3) There will be a greater improvement in symptom severity in the TLC-Detect group than in the control group. 4) The TLC-Detect will be acceptable and considered useful by the employee participants.

描述(由申请人提供)：本提案的目的是开发和初步评估一项保密的工作场所计划，该计划使用计算机电话与工人进行交流，评估他们是否患有可能影响其工作场所表现的精神健康障碍，并将未经治疗和治疗不足的工人转介到替代治疗环境。我们建议开发并进行一项用于检测工作场所精神健康障碍的电话连接通信(TLC-DETECT)的随机评估。TLC-DETECT将：a)通过执行Prime-MD(初级护理精神障碍评估)患者问卷来评估一组相关精神健康障碍的员工的精神健康；2)为患有精神健康障碍的员工提供转介和其他治疗选择的建议；3)教育和激励员工从事治疗；4)实施自动化的定期随访，以监测精神健康症状的严重程度和治疗的维持；5)教育和激励员工继续接受治疗。这项研究的具体目标是：设计和开发TLC-DETECT，包括：(A)检测影响工作场所生产力的常见精神健康障碍；(B)症状严重程度模块，评估每种已确定的精神健康状况的症状严重程度；(C)治疗模块，评估有精神健康状况的员工从事治疗的意愿，并教育和建议该人参与治疗；(D)后续治疗模块，监测患者的治疗维持情况。在随机临床试验中，将检验以下假设：1)TLC检测组与对照组相比，以损失的小时/天数衡量的缺勤率和出勤率将更低[例如，缺勤时间和出勤时间]。2)TLC检测组将比对照组有更大比例的精神健康治疗。3)TLC检测组症状严重程度较对照组有较大改善。4)TLC-DETECT将被员工参与者接受并认为有用。