Redefining diagnostic symptoms of depression using Rasch analysis: testing an item bank suitable for DSM-V and computer adaptive testing

References

• Mitchell AJ, Vaze A, Rao S. Clinical diagnosis of depression in primary care: a meta-analysis. Lancet 2009; 374:609–619.
   PubMed Web of Science ®Google Scholar
• Andrade L, Caraveo-Anduaga JJ, Berglund P . The epidemiology of major depressive episodes: results from the International Consortium of Psychiatric Epidemiology (ICPE) surveys. Int J Methods Psychiatr Res 2003;12:3–21.
   PubMed Web of Science ®Google Scholar
• Alhasnawi S, Sadik S, Rasheed M . The prevalence and correlates of DSM-IV disorders in the Iraq Mental Health Survey (IMHS). World Psychiatry 2009; 8:97–109.
   PubMed Web of Science ®Google Scholar
• Agency for Healthcare Research and Quality. Screening for depression: systematic evidence review number 6. Rockville, MD: Agency for Healthcare Research and Quality, 2002.
   Google Scholar
• National Institute for Clinical Excellence. Depression: core interventions in the management of depression in primary and secondary care. London: HMSO, 2004.
   Google Scholar
• MacMillan HL, Patterson CJS, Wathen CN. The Canadian Task Force on Preventive Health Care. Screening for depression in primary care: recommendation statement from the Canadian Task Force on Preventive Health Care. Can Med Assoc J 2005; 172:33–35.
   Web of Science ®Google Scholar
• New Zealand Guidelines Group. Available at URL: http://www.spinz.org.nz/file/downloads/pdf/file_225.pdf
   Google Scholar
• National Institute for Clinical Excellence. Depression: core interventions in the management of depression in primary and secondary care. London: HMSO, 2004, 2009.
   Google Scholar
• US Preventive Services Task Force. Screening for depression in adults: US Preventive Services Task Force Recommendation Statement. Ann Int Med 2009; 151:784–792.
   PubMed Web of Science ®Google Scholar
• Gilbody S, Sheldon T, House A. Screening and case-finding instruments for depression: a meta-analysis. Can Med Assoc J 2008; 178:997–1003.
   PubMed Web of Science ®Google Scholar
• Mitchell AJ, Coyne J. Screening for postnatal depression: barriers to success. Br J Ob Gyn 2009; 116:11–14.
   Google Scholar
• Mitchell AJ, Coyne JC. Do ultra-short screening instruments accurately detect depression in primary care? A pooled analysis and meta-analysis of 22 studies. Br J Gen Pract 2007; 57: 144–151.
   PubMed Web of Science ®Google Scholar
• Smith AB, Wright EP, Rush R, Stark DP, Velikova G, Selby PJ. Rasch analysis of the dimensional structure of the Hospital Anxiety and Depression Scale. Psycho-Oncol 2006; 15: 817–827.
   PubMed Web of Science ®Google Scholar
• Tang WK, Wong E, Chiu HF . The Geriatric Depression Scale should be shortened: results of Rasch analysis. Int J Geriatr Psychiatry 2005; 20:783–789.
   PubMed Web of Science ®Google Scholar
• Fliege H, Becker J, Walter OB, Bjorner JB, Klapp BF, Rose M. Development of a computer-adaptive test for depression (D-CAT). Qual Life Res 2005; 14:2277–2291.
   PubMed Web of Science ®Google Scholar
• Smith AB, Rush R, Wright P, Stark D, Velikova G, Sharpe M. Validation of an item bank for detecting & assessing psychological distress in cancer patients. Psycho-Oncol 2009; 18:195–199.
   PubMed Web of Science ®Google Scholar
• Becker J, Fliege H, Kocalevent RD . Functioning and validity of a computerized adaptive test to measure anxiety (A-CAT). Depress Anxiety 2008; 25:E182–194.
   Web of Science ®Google Scholar
• Gershon RC. Computer adaptive testing. J Appl Meas 2005; 6: 109–127.
   PubMedGoogle Scholar
• Forkmann T, Boecker M, Norra C . Development of an item bank for the assessment of depression in persons with mental illnesses and physical diseases using Rasch analysis. Rehabil Psychol 2009; 54:186–197.
   PubMed Web of Science ®Google Scholar
• Radloff LS. The CES-D scale: a self-report depression scale for research in the general population. Appl Psychol Meas 1977; 1: 385–401.
   Web of Science ®Google Scholar
• Spitzer RL, Williams JB, Kroenke K . Utility of a new procedure for diagnosing mental disorders in primary care. The PRIME-MD 1000 study. JAMA 1994; 272:1749–1756.
   PubMed Web of Science ®Google Scholar
• Zigmond AS, Snaith RP. The Hospital Anxiety and Depression Scale. Acta Psych Scand 1983; 67:361–370.
   PubMed Web of Science ®Google Scholar
• Bjelland I, Dahl AA, Haug TT, Neckelmann D. The validity of the Hospital Anxiety and Depression Scale. An updated literature review. J Psychosom Res 2002; 52:69–77.
   PubMed Web of Science ®Google Scholar
• Addington D, Addington J, Maticka-Tyndale E, Joyce J. Reliability and validity of a depression rating scale for schizophrenics. Schizophr Res 1992; 6:201–208.
   PubMed Web of Science ®Google Scholar
• Rasch G. Probabilistic models for some intelligence and attainment tests. Chicago, IL: University of Chicago Press, 1980.
   Google Scholar
• Masters GM. A Rasch model for partial credit scoring. Psychometrika 1982; 47:149–174.
   Web of Science ®Google Scholar
• Linacre JM. A user's guide to Winsteps/Ministeps Rasch-model programs. Chicago, IL: MESA Press, 2005.
   Google Scholar
• Smith EV. Detecting and evaluation the impact of multidimensionality using item fit statistics and principal component analysis of residuals. J Appl Meas 2002; 3:205–231.
   PubMedGoogle Scholar
• Bode RK, Lai JS, Dineen K, Heinemann AW, Shevrin D, Von Roenn J, Cella D. Expansion of a physical function item bank and development of an abbreviated form for clinical research. J Appl Meas 2006; 7:1–15.
   PubMedGoogle Scholar
• Smith AB, Rush R, Velikova G . The initial development of an item bank to assess and screen for psychological distress in cancer patients. Psycho-Oncol 2007; 16:724–732.
   PubMed Web of Science ®Google Scholar
• Smith AB, Rush R, Fallowfield LJ, Velikova G, Sharpe M. Rasch fit statistics and sample size considerations for polytomous data. BMC Med Res Methodol 2008; 8:33.
   PubMed Web of Science ®Google Scholar
• Fliege H, Becker J, Walter OB, Rose M, Bjorner JB, Klapp BF. Evaluation of a computer-adaptive test for the assessment of depression (D-CAT) in clinical application. Int J Methods Psychiatr Res 2009; 18:23–36.
   PubMed Web of Science ®Google Scholar
• Gibbons RD, Weiss DJ, Kupfer DJ . Using computerized adaptive testing to reduce the burden of mental health assessment. Psychiatr Serv 2008; 59:361–368.
   PubMed Web of Science ®Google Scholar
• Regier DA, Narrow WE, Kuhl EA . The conceptual development of DSM-V. Am J Psych 2009; 166: 645–650.
   PubMed Web of Science ®Google Scholar
• Joyce PR. Classification of mood disorders in DSM-V and DSM-VI. Aust N Z J Psych 2008; 42:851–862.
   PubMed Web of Science ®Google Scholar
• Klein, DN. Classification of depressive disorders in the DSM-V: Proposal for a two-dimension system. J Abnorm Psychol 2008; 117:552–560.
   PubMed Web of Science ®Google Scholar
• Parker G. How should mood disorders be modelled? Aust N Z J Psych 2008; 42:841–850.
   PubMed Web of Science ®Google Scholar
• Mitchell AJ, McGlinchey JB, Young D. Accuracy of specific symptoms in the diagnosis of major depressive disorder in psychiatric out-patients: data from the MIDAS project. Psychol Med 2009; 39:1107–1116.
   PubMed Web of Science ®Google Scholar
• Zimmerman M, Galione JN, Chelminski . A simpler definition of major depressive disorder. Psychol Med 2010; 40:451–457.
   PubMed Web of Science ®Google Scholar