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: 6952882
• 负责人: Ramesh Farzanfar
• 金额: $ 47.87万
• 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 2007-09-29
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6952882
• 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个保密的工作场所计划，该计划使用计算机电话与工人进行沟通，以评估他们是否患有可能影响其工作场所表现的心理健康障碍，并将未经治疗和治疗不当的工人转介到替代治疗环境。我们建议开发并进行一项随机评估，用于检测工作场所的精神健康障碍（TLC-Detect）。TLC检测将：a）通过施用PRIME-MD来评估雇员的心理健康是否存在一组相关的心理健康障碍，（精神障碍的初级保健评估）患者问卷调查，2）为患有精神健康障碍的员工提供转诊和其他治疗方案的建议，3）教育和激励员工参与治疗，4）实施自动定期随访，以监测心理健康症状的严重程度和治疗维持，5）教育和激励员工继续接受治疗。本研究的具体目标是：设计和开发由心理健康诊断模块组成的TLC-检测，该模块（a）将检测影响工作场所生产力的常见心理健康障碍，（B）症状严重程度模块，该模块评估每个识别的心理健康状况的症状严重程度，（c）一个治疗模块，用于评估患有精神健康状况的雇员是否愿意接受治疗，并教育和辅导该人接受治疗，（d）后续治疗模块，将监测该人的治疗维持情况。在随机临床试验中，将检验以下假设：1）与对照组相比，TLC-Detect组将具有较少的缺勤和出勤，以损失的小时/天测量[例如，缺勤时间和出勤时间]。2）与对照组相比，TLC-Detect组接受心理健康治疗的比例更大。3)与对照组相比，TLC-Detect组的症状严重程度改善更大。4)员工参与者将接受并认为TLC-Detect有用。