Literature DB >> 27974997

The Depression Inventory Development Workgroup: A Collaborative, Empirically Driven Initiative to Develop a New Assessment Tool for Major Depressive Disorder.

Anthony L Vaccarino1, Kenneth R Evans1, Amir H Kalali1, Sidney H Kennedy1, Nina Engelhardt1, Benicio N Frey1, John H Greist1, Kenneth A Kobak1, Raymond W Lam1, Glenda MacQueen1, Roumen Milev1, Franca M Placenza1, Arun V Ravindran1, David V Sheehan1, Terrence Sills1, Janet B W Williams1.   

Abstract

The Depression Inventory Development project is an initiative of the International Society for CNS Drug Development whose goal is to develop a comprehensive and psychometrically sound measurement tool to be utilized as a primary endpoint in clinical trials for major depressive disorder. Using an iterative process between field testing and psychometric analysis and drawing upon expertise of international researchers in depression, the Depression Inventory Development team has established an empirically driven and collaborative protocol for the creation of items to assess symptoms in major depressive disorder. Depression-relevant symptom clusters were identified based on expert clinical and patient input. In addition, as an aid for symptom identification and item construction, the psychometric properties of existing clinical scales (assessing depression and related indications) were evaluated using blinded datasets from pharmaceutical antidepressant drug trials. A series of field tests in patients with major depressive disorder provided the team with data to inform the iterative process of scale development. We report here an overview of the Depression Inventory Development initiative, including results of the third iteration of items assessing symptoms related to anhedonia, cognition, fatigue, general malaise, motivation, anxiety, negative thinking, pain and appetite. The strategies adopted from the Depression Inventory Development program, as an empirically driven and collaborative process for scale development, have provided the foundation to develop and validate measurement tools in other therapeutic areas as well.

Entities:  

Keywords:  Major depressive disorder; depressive symptoms; item response theory; rating scales

Year:  2016        PMID: 27974997      PMCID: PMC5141593     

Source DB:  PubMed          Journal:  Innov Clin Neurosci        ISSN: 2158-8333


  43 in total

1.  Effects of interrater reliability of psychopathologic assessment on power and sample size calculations in clinical trials.

Authors:  Matthias J Müller; Armin Szegedi
Journal:  J Clin Psychopharmacol       Date:  2002-06       Impact factor: 3.153

2.  Item response theory and health outcomes measurement in the 21st century.

Authors:  R D Hays; L S Morales; S P Reise
Journal:  Med Care       Date:  2000-09       Impact factor: 2.983

3.  An item response analysis of the motor and behavioral subscales of the unified Huntington's disease rating scale in huntington disease gene expansion carriers.

Authors:  Anthony L Vaccarino; Karen Anderson; Beth Borowsky; Kevin Duff; Joseph Giuliano; Mark Guttman; Aileen K Ho; Michael Orth; Jane S Paulsen; Terrence Sills; Daniel P van Kammen; Kenneth R Evans
Journal:  Mov Disord       Date:  2011-03-02       Impact factor: 10.338

4.  The importance of somatic symptoms in depression in primary care.

Authors:  André Tylee; Paul Gandhi
Journal:  Prim Care Companion J Clin Psychiatry       Date:  2005

5.  The Sexual Interest and Desire Inventory-Female (SIDI-F): item response analyses of data from women diagnosed with hypoactive sexual desire disorder.

Authors:  Terrence Sills; Glen Wunderlich; Robert Pyke; R Taylor Segraves; Sandra Leiblum; Anita Clayton; Dan Cotton; Kenneth Evans
Journal:  J Sex Med       Date:  2005-11       Impact factor: 3.802

6.  Examining symptom expression as a function of symptom severity: item performance on the Hamilton Rating Scale for Depression.

Authors:  D A Santor; J C Coyne
Journal:  Psychol Assess       Date:  2001-03

7.  Relationships among measures of treatment outcome in depressed patients.

Authors:  Roger T Mulder; Peter R Joyce; Chris Frampton
Journal:  J Affect Disord       Date:  2003-09       Impact factor: 4.839

8.  The new GRID Hamilton Rating Scale for Depression demonstrates excellent inter-rater reliability for inexperienced and experienced raters before and after training.

Authors:  Hideaki Tabuse; Amir Kalali; Hideki Azuma; Norio Ozaki; Nakao Iwata; Hiroshi Naitoh; Teruhiko Higuchi; Shigenobu Kanba; Kunihiko Shioe; Tatsuo Akechi; Toshi A Furukawa
Journal:  Psychiatry Res       Date:  2007-04-18       Impact factor: 3.222

9.  An item response theory evaluation of three depression assessment instruments in a clinical sample.

Authors:  Mats Adler; Jerker Hetta; Göran Isacsson; Ulf Brodin
Journal:  BMC Med Res Methodol       Date:  2012-06-21       Impact factor: 4.615

10.  Assessing behavioural manifestations prior to clinical diagnosis of huntington disease: "anger and irritability" and "obsessions and compulsions".

Authors:  Anthony L Vaccarino; Karen E Anderson; Beth Borowsky; Emil Coccaro; David Craufurd; Jean Endicott; Joseph Giuliano; Mark Groves; Mark Guttman; Aileen K Ho; Peter Kupchak; Jane S Paulsen; Matthew S Stanford; Daniel P van Kammen; David Watson; Kevin D Wu; Ken Evans
Journal:  PLoS Curr       Date:  2011-07-11
View more
  8 in total

1.  The severity of psychiatric disorders.

Authors:  Mark Zimmerman; Theresa A Morgan; Kasey Stanton
Journal:  World Psychiatry       Date:  2018-10       Impact factor: 49.548

2.  THE DEPRESSION INVENTORY DEVELOPMENT SCALE: Assessment of Psychometric Properties Using Classical and Modern Measurement Theory in a CAN-BIND Trial.

Authors:  Anthony L Vaccarino; Amir H Kalali; Pierre Blier; Susan Gilbert Evans; Nina Engelhardt; Jane A Foster; Benicio N Frey; John H Greist; Kenneth A Kobak; Raymond W Lam; Glenda MacQueen; Roumen Milev; Daniel J Müller; Sagar V Parikh; Franca M Placenza; Sakina J Rizvi; Susan Rotzinger; David V Sheehan; Terrence Sills; Claudio N Soares; Gustavo Turecki; Rudolph Uher; Janet B W Williams; Sidney H Kennedy; Kenneth R Evans
Journal:  Innov Clin Neurosci       Date:  2020-07-01

3.  Using validity theory and psychometrics to evaluate and support expanded uses of existing scales.

Authors:  Carrie R Houts; Elizabeth Nicole Bush; Michael C Edwards; R J Wirth
Journal:  Qual Life Res       Date:  2022-06-03       Impact factor: 3.440

4.  The Appalachia Mind Health Initiative (AMHI): a pragmatic randomized clinical trial of adjunctive internet-based cognitive behavior therapy for treating major depressive disorder among primary care patients.

Authors:  Robert M Bossarte; Ronald C Kessler; Andrew A Nierenberg; Ambarish Chattopadhyay; Pim Cuijpers; Angel Enrique; Phyllis M Foxworth; Sarah M Gildea; Bea Herbeck Belnap; Marc W Haut; Kari B Law; William D Lewis; Howard Liu; Alexander R Luedtke; Wilfred R Pigeon; Larry A Rhodes; Derek Richards; Bruce L Rollman; Nancy A Sampson; Cara M Stokes; John Torous; Tyler D Webb; Jose R Zubizarreta
Journal:  Trials       Date:  2022-06-20       Impact factor: 2.728

5.  Beyond Response: Aiming for Quality Remission in Depression.

Authors:  Sidney H Kennedy
Journal:  Adv Ther       Date:  2022-03-05       Impact factor: 4.070

Review 6.  Unraveling the Mysteries of Mental Illness With Psilocybin.

Authors:  Robert Sotille; Herpreet Singh; Anne Weisman; Thomas Vida
Journal:  Cureus       Date:  2022-05-27

7.  The establishment of rat model in myocardial ischemia with psychological stress.

Authors:  Chen Wang; Xiao-Reng Wang; Dan-Dan Song; Jian-Li Wang; You Wang; Tian-Qi Tao; Mi Liu; Xiu-Hua Liu; Xu-Dong Wu
Journal:  Ann Transl Med       Date:  2020-03

8.  The bi-factor structure of the 17-item Hamilton Depression Rating Scale in persistent major depression; dimensional measurement of outcome.

Authors:  Neil Nixon; Boliang Guo; Anne Garland; Catherine Kaylor-Hughes; Elena Nixon; Richard Morriss
Journal:  PLoS One       Date:  2020-10-26       Impact factor: 3.240

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.