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Coping, Community Functioning and Severe Mental Illness

应对、社区功能和严重精神疾病

基本信息

批准号：
7272006
负责人：
PHILIP T YANOS
金额：
$ 12.28万
依托单位：
JOHN JAY COLLEGE OF CRIMINAL JUSTICE
依托单位国家：
美国
项目类别：
财政年份：
2003
资助国家：
美国
起止时间：
2003-07-01 至 2008-07-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/7272006
关键词：
Award Behavior Behavioral Sciences Categories Clinical Communities Complement Daily Data Data Analyses Diagnosis Event Foundations Funding Future Goals Health Services Research Individual Interview Just-in-time-concept K-Series Research Career Programs Literature Mental Health Services Mental disorders Mentored Patient-Oriented Research Career Development Award Mentors Methods Nature Outcome Outcomes Research Participant Patient Self-Report Persons Population Population Research Process Assessment Rate Research Research Personnel Running Sampling Self Assessment Self Management Severities Social Functioning Statistical Models Structure Symptoms System Time Training Training Activity Variant Week Work clinically relevant coping day experience functional outcomes improved innovation knowledge base multilevel analysis patient oriented prevent programs response severe mental illness skills stressor theories

项目摘要

DESCRIPTION (provided by applicant): The candidate is requesting five years of funding through the Mentored Patient-Oriented Career Development Award (K23) program to improve his methodological skills in mental health services research, specifically to better study the relationship between coping and functional outcomes among persons diagnosed with severe mental illness. The ultimate goal is to develop expertise in innovative methods of assessing coping from the behavioral science literature, and to use this expertise to conduct clinically relevant research that will enhance the existing knowledge base on the nature of the relationship between coping efforts and community functioning of persons diagnosed with severe mental illness. The candidate's strong clinical background with this population and research background in the study of coping within it provide an excellent foundation for this work. The proposed training goals include enhanced skills in: 1) qualitative interviewing and event-structure data analysis, 2) daily process assessment methods, 3) multilevel modeling statistical analysis, 4) clinical outcomes research and psychiatric rating assessment approaches, and 5) coping theory. These training activities will allow the candidate to incorporate methodological and statistical advances to better understand the nature of the relationship between the use of coping strategies and community functioning among persons diagnosed with severe mental illness in his future work. The research plan for this award is divided into two exploratory studies that will complement the proposed training activities by establishing their feasibility and laying the groundwork for an RO1 application to conduct a larger study. In the first study, the candidate will conduct intensive clinical and qualitative interviews with a sample of 30 persons diagnosed with severe mental illness at two points in time: just before beginning participation in professional and consumer-run illness self-management programs, and 6 months later. Narrative data from both rounds of interviews will be analyzed using event-structure analysis to relate types and sequences of coping strategies used to specific community functioning outcomes. In the second study, the same participants will complete daily self-assessments of symptoms, coping strategies, and social functioning behavior for two separate periods of 14 days as they participate in the illness self-management groups. This data will be analyzed using multilevel modeling approaches and will provide a crucial adjunct to the retrospective data from the first study.

候选人正在申请五年的资金，通过指导患者为导向的职业发展奖（K23）计划，以提高他在心理健康服务研究中的方法技能，特别是为了更好地研究被诊断患有严重精神疾病的人之间的应对和功能结果之间的关系。最终的目标是开发专门知识，从行为科学文献中评估应对的创新方法，并利用这种专门知识进行临床相关的研究，将加强现有的知识基础上的性质之间的关系的应对努力和社区功能的人诊断为严重精神疾病。候选人的强大的临床背景与这一人口和研究背景中的应对它的研究提供了一个很好的基础，这项工作。建议的培训目标包括提高以下技能：1）定性访谈和事件结构数据分析，2）日常过程评估方法，3）多层次建模统计分析，4）临床结局研究和精神病评定方法，5）应对理论。这些培训活动将使候选人能够在今后的工作中纳入方法和统计方面的进展，以更好地了解被诊断患有严重精神疾病的人使用应对策略与社区运作之间关系的性质。该奖项的研究计划分为两个探索性研究，通过确定其可行性和为RO 1应用程序奠定基础来补充拟议的培训活动，以进行更大的研究。在第一项研究中，候选人将在两个时间点对30名被诊断患有严重精神疾病的人进行密集的临床和定性访谈：在开始参与专业和消费者运行的疾病自我管理计划之前，以及6个月后。两轮访谈的叙事数据将使用事件结构分析进行分析，以确定用于特定社区功能结果的应对策略的类型和顺序。在第二项研究中，相同的参与者将在两个独立的14天内完成症状，应对策略和社会功能行为的日常自我评估，因为他们参加了疾病自我管理组。这些数据将使用多水平建模方法进行分析，并将为第一项研究的回顾性数据提供重要辅助。