Skip to main content

Issues in Mental Health Assessment

  • Chapter
  • First Online:
Book cover Handbook of the Sociology of Mental Health

Abstract

This chapter focuses on the evolution and current state of community-based mental health assessment. A brief history of mental health assessment in the community and the challenges that led to four key generations of instrument development are described. Recent advances in mental health assessment—including the integration of dimensional instruments into the forthcoming versions of the Diagnostic and Statistical Manual and International Classification of Disease diagnostic manuals and the ongoing creation of item banks based on item response theory for specific disorders—are highlighted. Two main types of mental health assessment instruments, diagnostic and dimensional, are described in detail and examples of commonly used instruments of both types are presented along with source information. Practical issues in mental health assessment including sampling considerations and instrument selection and administration are discussed. Ongoing controversies and future directions for the field are described.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 299.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 379.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 379.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    Items are arranged hierarchically in Guttman scales such that agreement with a more extreme item (e.g., “I am sad all the time”) automatically implies that the respondent would have agreed with all less extreme items (e.g., “I sometimes feel unhappy.”) This type of hierarchical order among items measuring a particular construct (e.g., depression) is critically important for IRT-based scale construction.

Abbreviations

DSM-IIIDiagnostic and Statistical Manual of Mental Disorders version III DSM-IV-TR:

Diagnostic and Statistical Manual of Mental Disorders version IV

ICD-10:

International Classification of Diseases ICD-10

NSA:

Neuropsychiatric Screen Adjunct

NIMH:

National Institute of Mental Health

DIS:

Diagnostic Interview Schedule

ECA:

Epidemiologic Catchment Area

SCID:

Structured Clinical Interview for DSM-IV

WHO-CIDI:

World Health Organization-Composite International Diagnostic Interview

MINI:

Mini International Neuropsychiatric Interview

PROMIS:

Patient Reported Outcomes Measurement Information System

NIH:

National Institutes of Health

IRT:

Item Response Theory

CAT:

Computerized Adaptive Testing

MASS:

Mood and Anxiety Spectrum Scales

CATs:

Computerized Adaptive Tests

CIDI:

Composite International Diagnostic Interview

GHQ:

General Health Questionnaire

HSCL:

Hopkins Symptom Checklist

CES-D:

Center for Epidemiologic Studies Depression Scale

SCL-90:

Symptom Check List

BDI:

Beck Depression Inventory

CIS:

Clinical Interview Schedule

HAQ:

Health Assessment Questionnaire

PTSD:

Posttraumatic stress disorder

References

  • Ader, D. N. (2007). Developing the patient-reported outcomes measurement information system (PROMIS). Medical Care, 45, S1–S2.

    Google Scholar 

  • American Psychiatric Association. (2000). Diagnostic and statistical manual of mental disorders (4th ed., text rev.). Washington, DC: Author.

    Google Scholar 

  • Alarcon, R.D., Becker, A.E., Lewis-Femandez, R., Like R.C., Desai, P., Foulks, E., Gonzalez, J., Hansen H., Kopelowicz, Lu, F. G., Qquendo, M.A., & Primm, A. for the Cultural Psychiatry Committee of the Group for the Advancement of Psychiatry (2009). Issues for DSM-V: The role of culture in psyciatric donation. The Journal of Nervous and Mental Disease, 197(8), 559-560. doi:10.1097/NMD.0b013e3181b0cbff.

    Google Scholar 

  • Bakker, I. M., Terluin, B., van Marwijk, H. W. J., van Mechelen, W., & Stalman, W. A. B. (2009). Test–retest reliability of the PRIME-MD: Limitations in diagnosing mental disorders in primary care. European Journal of Public Health, 19, 303–307.

    Google Scholar 

  • Berkson, J. (1946). Limitation of the application of fourfold table analysis to hospital data. Biomedical Bulletin, 2, 47–53.

    Google Scholar 

  • Batelaan, N. M., de Graaf, R., Spijker, J., Smith, J. H., van Balkom, A. J. L. M., Vollebergh, W. A. M., et al. (2010). The course of panic attacks in individuals with panic disorder and subthreshold panic disorder: A population-based study. Journal of Affective Disorders, 121, 30–38.

    Google Scholar 

  • Beck, A. T., & Steer, R. A. (1990). Manual for the Beck Anxiety Inventory. San Antonio, TX: Psychological Corporation.

    Google Scholar 

  • Beck, A. T., Ward, C. H., Mendelson, M., Mock, J., & Erbaugh, J. (1961). An inventory for measuring depression. Archives of General Psychiatry, 4, 561–571.

    Google Scholar 

  • Blanchard, E. B., Jones-Alexander, J., Buckley, T. C., & Forneris, C. A. (1996). Psychometric properties of the PTSD checklist (PCL). Behavioral Research Therapy, 34, 669–673.

    Google Scholar 

  • Bromet, E. J., Kotov, R., Fochtmann, L. J., Carlson, G. A., Tanenberg-Karant, M., Ruggero, C., et al. (2011). Diagnostic shifts during the decade following first admission for psychosis. The American Journal of Psychiatry. doi:10.1176/appi.ajp. 2011.11010048. Advance online publication.

    Google Scholar 

  • Brown, T. A., & Barlow, D. H. (2005). Dimensional versus categorical classification of mental disorders in the fifth edition of the diagnostic and statistical manual of mental disorders and beyond: Comment on the special section. Journal of Abnormal Psychology, 114, 551–556.

    Google Scholar 

  • Burke, J. D., Jr., & Regier, D. A. (1994). Epidemiology of mental disorders. In R. E. Hales, S. C. Yudofsky, & J. A. Talbott (Eds.), The American Psychiatric Press textbook of psychiatry (2nd ed., pp. 81–104). Washington, DC: American Psychiatric Press.

    Google Scholar 

  • Callahan, C. M., & Wolinsky, F. D. (1994). The effect of gender and race on the measurement properties of the CES-D in older adults. Medical Care, 32, 341–356.

    Google Scholar 

  • Cella, D., Gershon, R., Lai, J. S., & Choi, S. (2007). The future of outcomes measurement: Item banking, tailored short-forms, and computerized adaptive assessment. Quality of Life Research, 16, 133–141.

    Google Scholar 

  • Cella, D., Riley, W., Stone, A., Rothrock, N., Reeve, B., Yount, S., et al. (2010). The Patient-Reported Outcomes Measurement Information System (PROMIS) developed and tested its first wave of adult self-reported health outcome item banks: 2005–2008. Journal of Clinical Epidemiology, 63, 1179–1194.

    Google Scholar 

  • Ciurli, P., Formisano, R., Bivona, U., Cantagallo, A., & Angelelli, P. (2011). Neuropsychiatric disorders in persons with severe traumatic brain injury: Prevalence, phenomenology, and relationship with demographic, clinical, and functional features. The Journal of Head Trauma Rehabilitation, 26, 116–126.

    Google Scholar 

  • Cooper, J. E., Kendell, R. E., Gurland, B. J., Sharpe, L., Copeland, J. R. M., & Simon, R. (1972). Psychiatric diagnosis in New York and London: A comparative study of mental hospital admissions. Oxford, UK: Oxford University Press.

    Google Scholar 

  • Costa, E., Barreto, S. M., Uchoa, E., Firmo, J. O., Lima-Costa, M. F., & Prince, M. (2007). Prevalence of international classification of diseases, 10th revision common mental disorders in the elderly in a Brazilian community: The Bambui health ageing study. The American Journal of Geriatric Psychiatry, 15, 17–27.

    Google Scholar 

  • Costa, P. T., & McCrae, R. R. (1985). The NEO personality inventory: Manual, form S and form R. Odessa, FL: Psychological Assessment Resources.

    Google Scholar 

  • Craddock, N., & Owen, M. J. (2010). The Kraepelinian dichotomy – Going, going… but still not gone. The British Journal of Psychiatry, 196, 92–95.

    Google Scholar 

  • Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16, 297–334.

    Google Scholar 

  • Crozier, I. (2011). Making up koro: Multiplicity, psychiatry, culture, and penis-shrinking anxieties. Journal of the History of Medicine and Allied Sciences. doi:10.1093/jhmas/jrr008. Advance online publication.

  • Dahlstrom, W. G., Welsh, G. S., & Dahlstrom, L. E. (1972). An MMPI handbook: Vol. I. Clinical interpretation. Minneapolis, MN: University of Minnesota Press.

    Google Scholar 

  • Davis, R. E., Couper, M. P., Janz, N. K., Caldwell, C. H., & Resnicow, K. (2010). Interviewer effects in public health surveys. Health Education Research, 25, 14–26.

    Google Scholar 

  • de Azevedo Marques, J. M., & Zuardi, A. W. (2008). Validity and applicability of the Mini International Neuropsychiatric Interview administered by family medicine residents in primary health care in Brazil. General Hospital Psychiatry, 30, 303–310.

    Google Scholar 

  • Derogatis, L. R., & Cleary, P. A. (1977). Confirmation of the dimensional structure of the SCL-90: A study in construct validation. Journal of Clinical Psychology, 33, 981–989.

    Google Scholar 

  • Derogatis, L. R., Lipman, R. S., Rickels, K., Uhlenhuth, E. H., & Covi, L. (1974). The Hopkins Symptom Checklist (HSCL): A self-report symptom inventory. Behavioral Science, 19, 1–15.

    Google Scholar 

  • DeVellis, R. F. (2003). Scale development: Theory and applications (2nd ed.). Thousand Oaks, CA: Sage.

    Google Scholar 

  • Dew, M. A. (1993). Assessment and prevention of expectancy effects in community mental health studies. In P. D. Blanck (Ed.), Interpersonal expectations: Theory, research, and application (pp. 437–453). New York: Cambridge University Press.

    Google Scholar 

  • Dew, M. A. (1998). Psychiatric disorder in the context of physical illness. In B. P. Dohrenwend (Ed.), Adversity, stress, and psychopathology (pp. 177–218). New York: Oxford University Press.

    Google Scholar 

  • Dew, M. A., Switzer, G. E., Myaskovsky, L., DiMartini, A. F., & Tovt-Korshynska, M. I. (2005). Rating scales for mood disorders. In D. J. Stein, D. J. Kupfer, & A. F. Schatzberg (Eds.), The American Psychiatric Publishing textbook of mood disorders (pp. 69–97). Washington, DC: American Psychiatric Publishing.

    Google Scholar 

  • Dignon, A. M. (1996). Acceptability of a computer-administered psychiatric interview. Computers in Human Behavior, 12, 177–191.

    Google Scholar 

  • Dillman, D. A. (2007). Mail and internet surveys: The tailored design method (2nd ed.). Hoboken, NJ: Wiley.

    Google Scholar 

  • Dohrenwend, B. P. (1995). The problem of validity in field studies of psychological disorders. In M. T. Tsuang, M. Tohen, & G. E. P. Zahner (Eds.), Textbook in psychiatric epidemiology (pp. 3–20). New York: Wiley.

    Google Scholar 

  • Dohrenwend, B. P., & Dohrenwend, B. S. (1982). Perspectives on the past and future of psychiatric epidemiology. The 1981 Rema Lapouse Lecture. American Journal of Public Health, 72, 1271–1279.

    Google Scholar 

  • Dowrick, C., Gask, L., Edwards, S., Aseem, S., Bower, P., Burroughs, H., et al. (2009). Researching the mental health needs of hard-to-reach groups: Managing multiple sources of evidence. BMC Health Services Research, 9, 226.

    Google Scholar 

  • Eaton, W. W. (1980). The sociology of mental disorders. New York: Praeger.

    Google Scholar 

  • Eaton, W. W., Neufield, K., Chen, L.-S., & Cai, G. (2000). A comparison of self-report and clinical diagnostic interviews for depression: Diagnostic interview schedule and schedules for clinical assessment in neuropsychiatry in the Baltimore epidemiologic catchment area follow-up. Archives of General Psychiatry, 57, 217–222.

    Google Scholar 

  • Eaton, W. W., Shao, H., Nestadt, G., Lee, H. B., Bienvenu, O. J., & Zandi, P. (2008). Population-based study of first onset and chronicity in major depressive disorder. Archives of General Psychiatry, 65, 513–520.

    Google Scholar 

  • Erdman, H. R., Klein, M. H., Greist, J. H., Skare, S. S., Husted, J. J., Robins, L. N., et al. (1992). A comparison of two computer-administered versions of the NIMH diagnostic interview schedule. Journal of Psychiatric Research, 26, 85–95.

    Google Scholar 

  • Eysenk, H. J. (1947). Dimensions of personality. London: Routledge & Kegan Paul.

    Google Scholar 

  • Faris, R. E. L., & Dunham, H. W. (1939). Mental disorders in urban areas. An ecological study of schizophrenia and other psychoses. Chicago: University of Chicago Press.

    Google Scholar 

  • Fearnley, A. M. (2007). Primitive madness: Re-writing the history of mental illness and race. Journal of the History of Medicine and Allied Sciences, 63, 245–257.

    Google Scholar 

  • First, M. B., & Wakefield, J. C. (2010). Defining ‘mental disorder’ in DSM-V. Psychological Medicine, 40, 1779–1782.

    Google Scholar 

  • Gary, F. A. (2005). Stigma: Barrier to mental health care among ethnic minorities. Issues in Mental Health Nursing, 26, 979–999.

    Google Scholar 

  • Gibbons, R. D., Weiss, D. J., Kupfer, D. J., Frank, E., Fagiolini, A., Grochocinski, V. J., et al. (2008). Using computerized adaptive testing to reduce the burden of mental health assessment. Psychiatric Services, 59, 361–368.

    Google Scholar 

  • Gigantesco, A., & Morosini, P. (2008). Development, reliability and factor analysis of a self-administered questionnaire which originates from the World Health Organization’s Composite International Diagnostic Interview – Short form (CIDI-SF) for assessing mental disorders. Clinical Practice and Epidemiology in Mental Health, 4, 8.

    Google Scholar 

  • Goldberg, D. P. (1972). The detection of psychiatric illness by questionnaire: A technique for the identification and assessment of non-psychotic psychiatric illness. London: Oxford University Press.

    Google Scholar 

  • Goldstein, J. M., & Simpson, I. C. (1995). Validity, definitions and applications to psychiatric research. In M. T. Tsuang, M. Tohen, & G. E. P. Zahner (Eds.), Textbook in psychiatric epidemiology (pp. 229–242). New York: Wiley.

    Google Scholar 

  • Guarnaccia, P. J., Good, B. J., & Kleinman, A. (1990). A critical review of epidemiological studies of Puerto Rican mental health. The American Journal of Psychiatry, 147, 1449–1456.

    Google Scholar 

  • Gum, A. M., King-Kallimanis, B., & Kohn, R. (2009). Prevalence of mood, anxiety, and substance-abuse disorders for older Americans in the National Comorbidity Survey-Replication. The American Journal of Geriatric Psychiatry, 17, 769–781.

    Google Scholar 

  • Hamilton, M. (1960). A rating scale for depression. Journal of Neurology, Neurosurgery & Psychiatry, 23, 56–62.

    Google Scholar 

  • Hays, R. D., Morales, L. S., & Reise, S. P. (2000). Item response theory and health outcomes measurement in the 21st century. Medical Care, 38, II28–II42.

    Google Scholar 

  • Henry, G. T. (1990). Practical sampling. Newbury Park, CA: Sage.

    Google Scholar 

  • Hyler, S. E. (1994). The personality diagnostic questionnaire (PDQ-4) (4th ed.). New York: New York State Psychiatric Institute.

    Google Scholar 

  • Jarvis, E. (1971). Insanity and idiocy in Massachusetts: Report of the Commission on Lunacy, 1855. Cambridge, MA: Harvard University Press.

    Google Scholar 

  • Karterud, S., Øien, M., & Pedersen, G. (2010). Validity aspects of the diagnostic and statistical manual of mental disorders, fourth edition, narcissistic personality disorder construct. Comprehensive Psychiatry. doi:10.1016/j.comppsych.2010.11.001. Advance online publication.

  • Katz, M. M., & Lyerly, S. B. (1963). Methods for measuring adjustment and social behavior in the community: I. Rationale, description, discriminative validity and scale development. Psychological Reports, 13, 503–535.

    Google Scholar 

  • Kendler, K. S. (2009). An historical framework for psychiatric nosology. Psychological Medicine, 39, 1935–1941.

    Google Scholar 

  • Keough, M. E., Timpano, K. R., & Schmidt, N. B. (2009). Ataques de nervios: Culturally bound and distinct from panic attacks? Depression and Anxiety, 26, 16–21.

    Google Scholar 

  • Kessler, R. C., Andrews, G., Colpe, L. J., Hiripi, E., Mroczek, D. K., Normand, S.-L. T., et al. (2002). Short screening scales to monitor population prevalences and trends in non-specific psychological distress. Psychological Medicine, 32, 959–976.

    Google Scholar 

  • Kessler, R. C., Chiu, W. T., Demler, O., Merikangas, K. R., & Walters, E. E. (2005). Prevalence, severity, and comorbidity of 12-month DSM-IV disorders in the National Comorbidity Survey replication. Archives of General Psychiatry, 62, 617–627.

    Google Scholar 

  • Kessler, R. C., & Üstün, T. B. (2004). The World Mental Health (WMH) survey initiative version of the World Health Organization (WHO) Composite International Diagnostic Interview (CIDI). International Journal of Methods in Psychiatric Research, 13, 93–121.

    Google Scholar 

  • Knappe, S., Runge, J., Beesdo, K., Jacobi, F., & Wittchen, H.-U. (2008). Diagnosing mental disorders: Gold or tin standard?–Critical comments on standardized diagnostic interviews and clinical routine diagnoses. Psychotherapie Psychosomatik Medizinische Psychologie, 58, 72–75.

    Google Scholar 

  • Kobak, K. A., Greist, J. H., Jefferson, J. W., & Katzelnick, D. J. (1996). Computer-administered clinical rating scales: A review. Psychopharmacology, 127, 291–301.

    Google Scholar 

  • Kobak, K. A., Reynolds, W. M., & Greist, J. H. (1993). Development and validation of a computer-administered version of the Hamilton Rating Scale. Psychological Assessment, 5, 487–492.

    Google Scholar 

  • Kramer, M. (1961). Some problems for international research suggested by observations on differences in first admission rates to the mental hospitals of England and Wales of the United States. Proceedings of the Third World Congress of Psychiatry, 3, 153–160.

    Google Scholar 

  • Kroenke, K., Spitzer, R. L., & Williams, J. B. W. (2001). The PHQ-9: Validity of a brief depression severity measure. Journal of General Internal Medicine, 16, 606–613.

    Google Scholar 

  • Läge, D., Egli, S., Riedel, M., Strauss, A., & Möller, H.-J. (2011). Combining the categorical and the dimensional perspective in a diagnostic map of psychotic disorders. European Archives of Psychiatry and Clinical Neuroscience, 261, 3–10.

    Google Scholar 

  • Leighton, D. C., Harding, J. S., Macklin, D. B., Macmillan, A. M., & Leighton, A. H. (1963). The character of danger: Psychiatric symptoms in selected communities. New York: Basic Books.

    Google Scholar 

  • Lewis, G. (1994). Assessing psychiatric disorder with a human interviewer or a computer. Journal of Epidemiology and Community Health, 48, 207–210.

    Google Scholar 

  • Link, B., & Dohrenwend, B. P. (1980). Formulation of hypotheses about the true prevalence of demoralization in the United States. In B. P. Dohrenwend, B. S. Dohrenwend, M. S. Gould, B. Link, R. Neugebauer, & R. Wunsch-Hitzig (Eds.), Mental illness in the United States: Epidemiological estimates (pp. 114–132). New York: Praeger.

    Google Scholar 

  • Linscott, R. J., & van Os, J. (2010). Systematic reviews of categorical versus continuum models in psychosis: Evidence for discontinuous subpopulations underlying a psychometric continuum. Implications for DSM-V, DSM-VI, and DSM-VII. Annual Review of Clinical Psychology, 6, 391–419.

    Google Scholar 

  • Liu, H., Cella, D., Gershon, R., Shen, J., Morales, L. S., Riley, W., et al. (2010). Representativeness of the patient-reported outcomes measurement information system internet panel. Journal of Clinical Epidemiology, 63, 1169–1178.

    Google Scholar 

  • Loranger, A. W. (1988). Personality Disorders Examination (PDE). Yonkers: DV Communications.

    Google Scholar 

  • Löwe, B., Spitzer, R.L., Williams, J.B., Mussell, M., Schellberg, D., & Kroenke, K. (2008). Depression, anxiety and somatization in primary care: sysdrome overlap and functional impaiment. General Hospital Psychiatry, 30(3), 191-99. doi:10.1016/j.genhosppsych.2008.01.001

    Google Scholar 

  • Manson, S. M., Shore, J. H., & Bloom, J. D. (1985). The depressive experience in American Indian communities: A challenge for psychiatric theory and diagnosis. In A. Kleinman & B. Good (Eds.), Culture and depression: Studies in the anthropology and cross-cultural psychiatry of affect and disorder (pp. 331–368). Berkeley, CA: University of California Press.

    Google Scholar 

  • Massof, R. W. (2011). Understanding Rasch and item response theory models: Applications to the estimation and validation of interval latent trait measures from responses to rating scale questionnaires. Ophthalmic Epidemiology, 18, 1–19.

    Google Scholar 

  • McDowell, I. (2006). Measuring health: A guide to rating scales and questionnaires (3rd ed.). New York: Oxford University Press.

    Google Scholar 

  • McNair, D. M., Lorr, M., & Droppleman, L. F. (1992). EdITS manual for the profile of mood states. San Diego, CA: Educational and Industrial Testing Service.

    Google Scholar 

  • Merz, E. L., & Roesch, S. C. (2011). Modeling trait and state variation using multilevel factor analysis with PANAS daily diary data. Journal of Personality Research, 45, 2–9.

    Google Scholar 

  • Millon, T. (1983). Millon clinical multiaxial inventory (3rd ed.). Minneapolis, MN: National Computer Systems.

    Google Scholar 

  • Mirowsky, J., & Ross, C. E. (2002). Measurement for a human science. Journal of Health and Social Behavior, 43, 152–170.

    Google Scholar 

  • Mojtabai, R., Olfson, M., Sampson, N. A., Jin, R., Druss, B., Wang, P. S., et al. (2010). Barriers to mental health treatment: Results from the National Comorbidity Survey Replication. Psychological Medicine. doi:10.1017/S0033291710002291. Advance online publication.

  • Möller, H.-J. (2008). Systematic of psychiatric disorders between categorical and dimensional approaches: Kraepelin’s dichotomy and beyond. European Archives of Psychiatry and Clinical Neuroscience, 258, 48–73.

    Google Scholar 

  • Montgomery, S. A., & Asberg, M. (1979). A new depression scale designed to be sensitive to change. The British Journal of Psychiatry, 134, 382–389.

    Google Scholar 

  • Morgan, C. D., Wiederman, M. W., & Magnus, R. D. (1998). Discriminant validity of the SCL-90 dimensions of anxiety and depression. Assessment, 5, 197–201.

    Google Scholar 

  • Murphy, J. M. (2002). Symptom scales and diagnostic schedules in adult psychiatry. In M. T. Tsuang & M. Tohen (Eds.), Textbook in psychiatric epidemiology (2nd ed., pp. 273–332). Hoboken, NJ: Wiley.

    Google Scholar 

  • Nunnally, J. C., & Bernstein, I. H. (Eds.). (1994). Psychometric theory (3rd ed.). New York: McGraw-Hill.

    Google Scholar 

  • Nurnberger, J. I., Jr., Blehar, M. C., Kaufmann, C. A., York-Cooler, C., Simpson, S. G., Harkavy-Friedman, J., et al. (1994). Diagnostic interview for genetic studies: Rationale, unique features, and training. NIMH Genetics Initiative. Archives of General Psychiatry, 51, 849–859.

    Google Scholar 

  • Padgett, D. K., Patrick, C., Burns, B. J., & Schlesinger, H. J. (1994). Ethnicity and the use of outpatient mental health services in a national insured population. American Journal of Public Health, 84, 222–226.

    Google Scholar 

  • Parloff, M. B., Kelman, H. C., & Frank, J. D. (1954). Comfort, effectiveness, and self-awareness as criteria of improvement in psychotherapy. The American Journal of Psychiatry, 111, 343–352.

    Google Scholar 

  • Patten, S. B., Williams, J. V. A., Lavorato, D. H., Bulloch, A. G. M., D’Arcy, C., & Streiner, D. L. (2011). Recall of recent and more remote depressive episodes in a prospective cohort study. Social Psychiatry and Psychiatric Epidemiology. doi:10.1007/s00127-011-0385-5. Advance online publication.

  • Pfohl, B., Blum, N., Zimmerman, M., & Stangl, D. (1989). Structured interview for the DSM-II1R personality disorder (SIDP-R). Iowa City, IA: University of Iowa Press.

    Google Scholar 

  • Pfohl, B., Stangl, D., & Zimmerman, M. (1982). The structured interview for the DSM-III personality disorder (SIDP). Iowa City, IA: University of Iowa, Department of Psychiatry.

    Google Scholar 

  • Radloff, L. S. (1977). The CES-D scale: A self-report depression scale for research in the general population. Applied Psychological Measurement, 1, 385–401.

    Google Scholar 

  • Reeve, B. B., Hays, R. D., Bjorner, J. B., Cook, K. F., Crane, P. K., Teresi, J. A., et al. (2007). Psychometric evaluation and calibration of health-related quality of life item banks: Plans for the patient-reported outcomes measurement information system (PROMIS). Medical Care, 45, S22–S31.

    Google Scholar 

  • Regier, D. A., Myers, J. K., Kramer, M., Robins, L. N., Blazer, D. G., Hough, R. L., et al. (1984). The NIMH epidemiologic catchment area program: Historical context, major objectives, and study population characteristics. Archives of General Psychiatry, 41, 934–941.

    Google Scholar 

  • Regier, D. A., & Robins, L. N. (1991). Introduction. In L. N. Robins & D. A. Regier (Eds.), Psychiatric disorders in America: The epidemiologic catchment area study (pp. 1–10). New York: Free Press.

    Google Scholar 

  • Reynolds, W. M., & Kobak, K. A. (1995). Reliability and validity of the Hamilton depression inventory: A paper-and-pencil version of the Hamilton depression rating scale clinical interview. Psychological Assessment, 7, 472–483.

    Google Scholar 

  • Riley, W. T., Rothrock, N., Bruce, B., Christodolou, C., Cook, K., Hahn, E. A., et al. (2010). Patient-reported outcomes measurement information system (PROMIS) domain names and definitions revisions: Further evaluation of content validity in IRT-derived item banks. Quality of Life Research, 19, 1311–1321.

    Google Scholar 

  • Robins, L. N. (1985). Epidemiology: Reflections on testing the validity of psychiatric interviews. Archives of General Psychiatry, 42, 918–924.

    Google Scholar 

  • Robins, L. N. (2002). Birth and development of psychiatric interviews. In M. T. Tsuang & M. Tohen (Eds.), Textbook in psychiatric epidemiology (2nd ed., pp. 257–271). Hoboken, NJ: Wiley.

    Google Scholar 

  • Robins, L. N., Helzer, J. E., Croughan, J., & Ratcliff, K. S. (1981). The NIMH diagnostic interview schedule: Its history, characteristics and validity. Archives of General Psychiatry, 45, 1069–1077.

    Google Scholar 

  • Robins, L. N., Wing, J., Wittchen, H.-U., Helzer, J. E., Babor, T. F., Burke, J., et al. (1988). The composite international diagnostic interview: An epidemiologic instrument suitable for use in conjunction with different diagnostic systems and in different cultures. Archives of General Psychiatry, 45, 1069–1077.

    Google Scholar 

  • Rush, A. J., Jr., First, M. B., & Blacker, D. (2007). Handbook of psychiatric measures (2nd ed.). Arlington, VA: American Psychiatric Publishing.

    Google Scholar 

  • Sajatovic, M., & Ramirez, L. F. (2003). Rating scales in mental health (2nd ed.). Hudson, OH: Lexi-Comp.

    Google Scholar 

  • Salant, P., & Dillman, D. A. (1994). How to conduct your own survey. New York: Wiley.

    Google Scholar 

  • Schwarz, N., Hippler, H. J., Deutsch, B., & Strack, F. (1985). Response scales: Effects of category range on reported behavior and subsequent judgments. Public Opinion Quarterly, 49, 388–395.

    Google Scholar 

  • Shaffer, D., Fisher, P., Lucas, C. P., Dulcan, M. K., & Schwab-Stone, M. E. (2000). NIMH diagnostic interview schedule for children version IV (NIMH DISC-IV): Description, differences from previous versions, and reliability of some common diagnoses. Journal of the American Academy of Child and Adolescent Psychiatry, 39, 28–38.

    Google Scholar 

  • Shea, M. T., Glass, D. R., Pilkonis, P. A., Watkins, J., & Docherty, J. P. (1987). Frequency and implications of personality disorders in a sample of depressed outpatients. Journal of Personality Disorders, 1, 27–42.

    Google Scholar 

  • Sheehan, D. V., Lecrubier, Y., Sheehan, K. H., Amorim, P., Janavs, J., Weiller, E., et al. (1998). The mini-international neuropsychiatric interview (MINI): The development and validation of a structured diagnostic psychiatric interview for DSM-IV and ICD-10. The Journal of Clinical Psychiatry, 59, 22–33.

    Google Scholar 

  • Spielberger, C. D. (1984). State-trait anxiety inventory: A comprehensive bibliography. Palo Alto, CA: Consulting Psychologists Press.

    Google Scholar 

  • Spitzer, R. L., Kroenke, K., Williams, J. B. W., & Löwe, B. (2006). A brief measure for assessing generalized anxiety disorder. Archives of Internal Medicine, 166, 1092–1097.

    Google Scholar 

  • Spitzer, R. L., Williams, J. B. W., Gibbon, M., & First, M. B. (1992). The structured clinical interview for DSM-III-R (SCID): I. History, rationale, and description. Archives of General Psychiatry, 49, 624–629.

    Google Scholar 

  • Spitzer, R. L., Williams, J. B. W., Kroenke, K., Hornyak, R., & McMurray, J. (2000). Validity and utility of the PRIME-MD patient health questionnaire in assessment of 3000 obstetric-gynecologic patients: The PRIME-MD patient health questionnaire obstetrics-gynecology study. American Journal of Obstetrics and Gynecology, 183, 759–769.

    Google Scholar 

  • Spitzer, R. L., Williams, J. B. W., Kroenke, K., Linzer, M., deGruy, F. V., III, Hahn, S. R., et al. (1994). Utility of a new procedure for diagnosing mental disorders in primary care. The PRIME-MD 1000 study. Journal of the American Medical Association, 272, 1749–1756.

    Google Scholar 

  • Srole, L., Langner, T. S., Michael, S. T., Opler, M. K., & Rennie, T. A. C. (1962). Mental health in the metropolis: The Midtown Manhattan study. New York: McGraw-Hill.

    Google Scholar 

  • Star, S. A. (1950). The screening of psychoneurotics in the army: Technical developments of tests. In S. A. Stouffer, L. Guttman, E. A. Suchman, P. F. Lazarsfeld, S. A. Star, & J. A. Clausen (Eds.), Measurement and prediction: Studies in social psychology in World War II (Vol. 4, pp. 486–547). Princeton, NJ: Princeton University Press.

    Google Scholar 

  • Steer, R. A., Rissmiller, D. J., Ranieri, W. F., & Beck, A. T. (1994). Use of the computer-administered Beck depression inventory and Hopelessness scale with psychiatric inpatients. Computers in Human Behavior, 10, 223–229.

    Google Scholar 

  • Stein, D. J., Phillips, K. A., Bolton, D., Fulford, K. W. M., Sadler, J. Z., & Kendler, K. S. (2010). What is a mental/psychiatric disorder? From DSM-IV to DSM-V. Psychological Medicine, 40, 1759–1765.

    Google Scholar 

  • Stouffer, S. A., Guttman, L., Suchman, E. A., Lazarsfeld, P. F., Star, S. A., & Clausen, J. A. (1950). The American soldier: Measurement and prediction (Vol. IV). Princeton, NJ: Princeton University Press.

    Google Scholar 

  • Switzer, G. E., Wisniewski, S. R., Belle, S. H., Dew, M. A., & Schultz, R. (1999). Selecting, developing, and evaluating research instruments. Social Psychiatry and Psychiatric Epidemiology, 34, 399–409.

    Google Scholar 

  • Taylor, J. A. (1953). A personality scale of manifest anxiety. Journal of Abnormal and Social Psychology, 48, 285–290.

    Google Scholar 

  • Tellegen, A., & Waller, N. G. (1982). Exploring personality through test construction: Development of the multidimensional personality questionnaire. In S. R. Briggs & J. M. Cheek (Eds.), Personality measures: Development and evaluation (Vol. 1). Greenwich, CT: JAI Press.

    Google Scholar 

  • Teresi, J. A., Ocepek-Welikson, K., Kleinman, M., Eimicke, J. P., Crane, P. K., Jones, R. N., et al. (2009). Analysis of differential item functioning in the depression item bank from the patient reported outcome measurement information system (PROMIS): An item response theory approach. Psychology Science Quarterly, 51, 148–180.

    Google Scholar 

  • Thomas, M. L. (2010). The value of item response theory in clinical assessment: A review. Assessment. doi:10.1177/1073191110374797. Advance online publication.

  • Thomicroft, G. (1992). Computerized mental health assessments. In G. Thornicroft, C. Brewin, & J. K. Wing (Eds.), Measuring mental needs (pp. 258–272). London: Gaskell/Royal College of Psychiatrists.

    Google Scholar 

  • U.S. Department of Health and Human Services. (2001). Mental health: Culture, race, and ethnicity–A supplement to mental health: A report of the surgeon general. Rockville, MD: U.S. Department of Health and Human Services, Substance Abuse and Mental Health Services Administration, Center for Mental Health Services.

    Google Scholar 

  • Üstün, T. B., & Tien, A. Y. (1995). Recent developments for diagnostic measures in psychiatry. Epidemiologic Reviews, 17, 210–220.

    Google Scholar 

  • Vaishnavi, S., Rao, V., & Fann, J. R. (2009). Neuropsychiatric problems after traumatic brain injury: Unraveling the silent epidemic. Psychosomatics, 50, 198–205.

    Google Scholar 

  • Weathers, F. W., Litz, B. T., Herman, D. S., Huska, J. A., & Keane, T. M. (1993, October). The PTSD checklist (PCL): Reliability, validity, and diagnostic utility. Paper presented at the annual meeting of the International Society for Traumatic Stress Studies, San Antonio, TX.

    Google Scholar 

  • Weissman, M. M., & Bothwell, S. (1976). Assessment of social adjustment by patient self-report. Archives of General Psychiatry, 33, 1111–1115.

    Google Scholar 

  • Widiger, T. A., & Samuel, D. B. (2005). Diagnostic categories or dimensions? A question for the diagnostic and statistical manual of mental disorders–fifth edition. Journal of Abnormal Psychology, 114, 494–504.

    Google Scholar 

  • Wing, J. K. (1961). A simple and reliable subclassification of chronic schizophrenia. Journal of Mental Sciences, 107, 862–875.

    Google Scholar 

  • Wing, J. K., Babor, T., Brugha, T., Burke, J., Cooper, J. E., Giel, R., et al. (1990). SCAN: Schedule for clinical assessment in neuropsychiatry. Archives of General Psychiatry, 47, 589–593.

    Google Scholar 

  • Wing, J. K., Cooper, J. E., & Sartorius, N. (1974). Measurement and classification of psychiatric symptoms: An instruction manual for the PSE and CATEGO Program. Cambridge, UK: Cambridge University Press.

    Google Scholar 

  • Wittkampf, K. A., Baas, K. D., van Weert, H. C., Lucassen, P., & Schene, A. H. (2011). The psychometric properties of the panic disorder module of the patient health questionnaire (PHQ-PD) in high-risk groups in primary care. Journal of Affective Disorders, 130, 260–267.

    Google Scholar 

  • World Health Organization. (n.d.). The ICD-10 classification of mental and behavioural disorders: Clinical descriptions and diagnostic guidelines. Geneva, Switzerland: Author. Retrieved from http://www.who.int/classifications/icd/en/bluebook.pdf

  • Yanos, P. T., West, M. L., & Smith, S. M. (2010). Coping, productive time use, and negative mood among adults with severe mental illness: A daily diary study. Schizophrenia Research, 124, 54–59.

    Google Scholar 

  • Zahner, G. E. P., Chung-Cheng, H., & Fleming, J. (1995). Introduction to epidemiologic research methods. In M. T. Tsuang, M. Tohen, & G. E. P. Zahner (Eds.), Textbook in psychiatric epidemiology (pp. 23–53). New York: Wiley.

    Google Scholar 

  • Zanarini, M. C., Frankenberg, F. R., Chauncey, D. L., & Gunderson, J. G. (1987). The diagnostic interview for personality disorders: Interrater and test-retest reliability. Comprehensive Psychiatry, 28, 467–480.

    Google Scholar 

  • Zigmond, A. S., & Snaith, R. P. (1983). The hospital anxiety and depression scale. Acta Psychiatrica Scandinavica, 67, 361–370.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Galen E. Switzer .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer Science+Business Media Dordrecht

About this chapter

Cite this chapter

Switzer, G.E., Dew, M.A., Bromet, E.J. (2013). Issues in Mental Health Assessment. In: Aneshensel, C.S., Phelan, J.C., Bierman, A. (eds) Handbook of the Sociology of Mental Health. Handbooks of Sociology and Social Research. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-4276-5_7

Download citation

Publish with us

Policies and ethics