Computerized adaptive self-report diagnostic assessment for mental health: the SC

心理健康计算机化自适应自我报告诊断评估：SC

• 批准号: 8200450
• 负责人: BENJAMIN B BRODEY
• 金额: $ 16.78万
• 依托单位: TELESAGE, INC.
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-07-01 至 2013-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8200450
• 关键词: Adult; Biological Markers; Categories; Cognitive; Collaborations; Communities; Confusion; Consensus; DSM-IV; DSM-V; Databases; Development; Diagnosis; Diagnostic; Diagnostic and Statistical Manual; Diagnostic and Statistical Manual of Mental Disorders; Disease; Exhibits; Generations; Gold; Individual; Interview; Interviewer; Language; Lead; Link; Mental Health; Mental disorders; Mentally Ill Persons; Methodology; Methods; Mission; National Institute of Mental Health; Outcome; Outpatients; Participant; Patient Self-Report; Patients; Phase; Population; Protocols documentation; Public Sector; Questionnaires; Reading; Recruitment Activity; Reporting; Research; Research Personnel; Respondent; Sampling; Schedule; Screening procedure; Series; Small Business Innovation Research Grant; Specific qualifier value; Target Populations; Testing; Text; Time; Training; Translations; Treatment Effectiveness; Validation; Vocabulary; base; clinical care; clinical practice; computerized; cost effective; diagnosis standard; follow-up; improved; instrument; member; mental health organization; phrases; response; success

DESCRIPTION (provided by applicant): In order to improve our understanding and treatment of mental illnesses, the primary mission of the National Institutes of Mental Health (NIMH), one must first accurately diagnose research participants and patients receiving routine clinical care. In this way, the appropriate links may be drawn between specific disorders, biological markers, and the effectiveness of treatments. The gold-standard for diagnosing mental health disorders is a standardized clinician-administered interview. However, such diagnostic interviews are not always practical in research and clinical practice due to time, expertise, and monetary requirements. Currently only one validated self-report diagnostic assessment exists, namely the Psychiatric Diagnostic Screening Questionnaire (PDSQ). However, this instrument was not developed for and has not been validated with a community mental health population. The PDSQ also lacks many important features that ease respondent and staff burden and increase usefulness in research and clinical practice. Given the tremendous need for valid cost-effective diagnostic assessments, we propose to develop the SCID-SR, a computerized, adaptive self-report diagnostic assessment with self-scoring, instantaneous narrative report generation, and a searchable response database. The SCID-SR will contain 15 diagnostic categories and will be based on the SCID-I, a gold-standard clinician administered diagnostic assessment for Axis I disorders, which uses criteria from the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision (DSM-IV-TR). The SCID-SR will be appropriate for use with an adult community mental health population, including SPMI individuals. It will be developed using rigorous item authoring methods that have been used successfully in previous SBIR projects and produce items that are easy to read and understand, hold widespread cultural relevance, and are amenable to direct translation to other languages. SCID-SR items will be reviewed and rated by an Expert Panel during development and subsequently tested with three iterative rounds of cognitive interviewing with 60 adult community mental health outpatients from one of the largest private non-profit mental health organizations in the U.S. Cognitive interviews will include thinkalouds by participants while responding to the SCID-SR self-report items, follow-up interview questions pertaining to vocabulary, timeframe and selection of responses, as well as a modified set of SCID-I questions in order to establish correspondence between SCID-SR responses and SCID-I ratings by a trained interviewer. Results of cognitive interviews will inform the selection of the final set of SCID-SR items by the Expert Panel. The final set of SCID-SR items will undergo full quantitative validation with a large, diverse sample of community mental health outpatients in Phase II. Necessary revisions of the SCID-SR to conform with DSM-V, scheduled for release in 2013, will also be completed in Phase II. PUBLIC HEALTH RELEVANCE: Accurate diagnoses are the necessary first step to improving our understanding and treatment of mental illnesses, the primary mission of the National Institutes of Mental Health (NIMH). Availability of the SCID-SR, a computerized, adaptive self-report diagnostic assessment of Axis I mental health disorders, will provide researchers and clinicians with a rigorous, cost-effective alternative to clinician-administered diagnostic assessments. The SCID-SR will include Likert response sets, concise, easy to read and understand questions, automated scoring, instantaneous generation of comprehensive narrative reports, and a searchable response database, which will ease staff and respondent burden and increase usefulness in research and clinical practice.

描述（由申请人提供）：为了提高我们对精神疾病的理解和治疗，这是美国国立精神卫生研究院 (NIMH) 的首要任务，必须首先准确诊断研究参与者和接受常规临床护理的患者。通过这种方式，可以在特定疾病、生物标志物和治疗效果之间建立适当的联系。诊断精神健康障碍的黄金标准是由临床医生进行的标准化访谈。然而，由于时间、专业知识和资金要求，这​​种诊断访谈在研究和临床实践中并不总是实用。目前只有一种经过验证的自我报告诊断评估，即精神病诊断筛查问卷（PDSQ）。然而，该工具不是为社区心理健康人群开发的，也没有经过社区心理健康人群的验证。 PDSQ 还缺乏许多重要的功能，无法减轻受访者和工作人员的负担并提高研究和临床实践的实用性。鉴于对有效且具有成本效益的诊断评估的巨大需求，我们建议开发 SCID-SR，这是一种计算机化、自适应自我报告诊断评估，具有自我评分、即时叙述报告生成和可搜索响应数据库。 SCID-SR 将包含 15 个诊断类别，并将以 SCID-I 为基础，SCID-I 是临床医生对 Axis I 疾病进行诊断评估的黄金标准，它使用《精神疾病诊断和统计手册》第四版文本修订版中的标准（DSM-IV-TR）。 SCID-SR 适用于成人社区心理健康人群，包括 SPMI 个体。它将使用严格的项目创作方法进行开发，这些方法已在之前的 SBIR 项目中成功使用，并生成易于阅读和理解的项目，具有广泛的文化相关性，并且可以直接翻译成其他语言。 SCID-SR 项目将在开发过程中由专家小组进行审查和评级，随后对来自美国最大的私人非营利性心理健康组织之一的 60 名成人社区心理健康门诊患者进行三轮迭代认知访谈进行测试。包括参与者在回答 SCID-SR 自我报告项目时的大声思考、与词汇、时间范围和回答选择相关的后续访谈问题，以及一组修改后的 SCID-I 问题以便在受过训练的访谈员的 SCID-SR 回答和 SCID-I 评级之间建立对应关系。认知访谈的结果将为专家小组选择最终的 SCID-SR 项目集提供信息。最终的 SCID-SR 项目将在第二阶段对大量、多样化的社区心理健康门诊患者样本进行全面的定量验证。 SCID-SR 的必要修订也将在第二阶段完成，以符合计划于 2013 年发布的 DSM-V。 公共卫生相关性：准确的诊断是提高我们对精神疾病的理解和治疗的必要的第一步，这是美国国立精神卫生研究院 (NIMH) 的首要使命。 SCID-SR 是一种针对 Axis I 精神健康障碍的计算机化、自适应自我报告诊断评估，它的推出将为研究人员和临床医生提供严格的、具有成本效益的替代临床医生管理的诊断评估。 SCID-SR 将包括 Likert 回答集、简洁、易于阅读和理解的问题、自动评分、即时生成综合叙述报告以及可搜索的回答数据库，这将减轻工作人员和受访者的负担，并提高研究和临床实践的实用性。