2,102
Views
5
CrossRef citations to date
0
Altmetric
Review Article

Reducing outcome measures in mental health: a systematic review of the methods

, , , , &
Pages 461-472 | Received 13 Mar 2015, Accepted 12 Aug 2015, Published online: 04 Dec 2015

References

  • Andresen R, Caputi P, Oades L. (2013). Development of a short measure of psychological recovery in serious mental illness: The STORI-30. Australas Psychiatry, 21, 267–70
  • Andrich D. (2004). Controversy and the Rasch model: A characteristic of incompatible paradigms? Med Care, 42, I7–16
  • Andrich D. (2013). An expanded derivation of the threshold structure of the polytomous Rasch model that dispels any “Threshold Disorder Controversy”. Educ Psychol Meas, 73, 78–124
  • Barkham M, Bewick B, Mullin T, et al. (2013). The CORE-10: A short measure of psychological distress for routine use in the psychological therapies. Couns Psychother Res, 13, 3–13
  • Bhakta B, Tennant A, Horton M, et al. (2005). Using item response theory to explore the psychometric properties of extended matching questions examination in undergraduate medical education. BMC Med Educ, 5, 9
  • Bilker WB, Brensinger C, Kurtz MM, et al. (2003). Development of an abbreviated schizophrenia quality of life scale using a new method. Neuropsychopharmacology, 28, 773–7
  • Bond TG, Fox CM. (2013). Applying the Rasch model: Fundamental measurement in the human sciences, Second edition. Oxon: Taylor & Francis
  • Boyer L, Simeoni MC, Loundou A, et al. (2010). The development of the S-QoL, 18, A shortened quality of life questionnaire for patients with schizophrenia. Schizophr Res, 121, 241–50
  • Brazier J, Rowen D, Mavranezouli I, et al. (2012). Developing and testing methods for deriving preference-based measures of health from condition-specific measures (and other patient-based measures of outcome). Health Technol Assess, 16, 1–114
  • Chang CH, Reeve BB. (2005). Item response theory and its applications to patient-reported outcomes measurement. Eval Health Prof, 28, 264–82
  • Clauser BE, Mazor KM. (1998). Using statistical procedures to identify differentially functioning test items. Educ Meas, 17, 31–44
  • Corrigan PW, Giffort D, Rashid F, et al. (1999). Recovery as a psychological construct. Community Ment Health J, 35, 231–9
  • Costello A, Osborne J. (2005). Best practices in exploratory factor analysis: Four recommendations for getting the most from your analysis. Pract Assess Res Eval, 10, 173–8
  • DeVellis RF. (2006). Classical test theory. Med Care, 44, S50–9
  • Drummond F. (2005). Methods for the economic evaluation of health care programmes. Oxford: Oxford University Press, Incorporated
  • Edelen MO, Reeve BB. (2007). Applying item response theory (IRT) modeling to questionnaire development, evaluation, and refinement. Qual Life Res, 16, 5–18
  • Engelhard G. (2012). Invariant measurement: Using Rasch models in the social, behavioral, and health sciences. New York: Routledge
  • Evans C, Connell J, Barkham M, et al. (2002). Towards a standardised brief outcome measure: Psychometric properties and utility of the CORE-OM. Br J Psychiatry, 180, 51–60
  • Fabrigar LR, Wegener DT, MacCallum RC, Strahan EJ. (1999). Evaluating the use of exploratory factor analysis in psychological research. Psychol Methods, 4, 272–99
  • Grimby G, Tennant A, Tesio L. (2012). The use of raw scores from ordinal scales: Time to end malpractice? J Rehabil Med, 44, 97–8
  • Gudex, C. (1994). Time trade-off user manual: Props and self-completion method [Online]. York: Centre for Health Economics, University of York. Available: http://www.york.ac.uk/che/pdf/op20.pdf
  • Hagquist C, Bruce M, Gustavsson JP. (2009). Using the Rasch model in nursing research: An introduction and illustrative example. International Journal of Nursing Studies, 46, 380–93. doi: 10.1016/j.ijnurstu.2008.10.007
  • Harvill LM. (1991). Standard error of measurement. Educ Meas, 10, 9
  • Hays RD, Morales LS, Reise SP. (2000). Item response theory and health outcomes measurement in the 21st century. Med Care, 38, II28–42
  • Hocking R, Leslie R. (1967). Selection of the best subset in regression analysis. Technometrics, 9, 531–40
  • Las Hayas C, Quintana JM, Padierna JA, et al. (2010). Use of Rasch methodology to develop a short version of the health related quality of life for eating disorders questionnaire: A prospective study. Health Qual Life Outcomes, 8, 1–12
  • Ledesma RD, Valero-Mora P. (2007). Determining the number of factors to retain in EFA: An easy-to-use computer program for carrying out parallel analysis. Pract Assess Res Eval, 12, 1–11
  • Longworth L, Yang Y, Young T, et al. (2014). Use of generic and condition-specific measures of health-related quality of life in NICE decision-making: A systematic review, statistical modelling and survey. Health Technol Assess, 18, 1–224
  • Lovaglio PG, Monzani E. (2012). Health of the nation outcome scales evaluation in a community setting population. Qual Life Res, 21, 1643–53
  • Magis D. (2013). A note on the item information function of the four-parameter logistic model. Appl Psychol Meas, 37, 304–15
  • Mallinson T, Stelmack J, Velozo C. (2004). A comparison of the separation ratio and coefficient α in the creation of minimum item sets. Med Care, 42, I1–17
  • Massof RW. (2002). The measurement of vision disability. Optom Vis Sci, 79, 516–52
  • Mavranezouli I, Brazier JE, Young TA, Barkham M. (2011). Using Rasch analysis to form plausible health states amenable to valuation: The development of CORE-6D from a measure of common mental health problems (CORE-OM). Qual Life Res, 20, 321–33
  • Mulhern B, Smith SC, Rowen D, et al. (2012). Improving the measurement of QALYs in dementia: Developing patient- and carer-reported health state classification systems using Rasch analysis. Value Health, 15, 323–33
  • Prieto L, Alonso J, Lamarca R. (2003). Classical test theory versus Rasch analysis for quality of life questionnaire reduction. Health Qual Life Outcomes, 1, 1–13
  • Rasch G. (1966). An individualistic approach to item analysis. In: Lazarsfeld PF, Henry NW, eds. Readings in mathematical social science (pp. 89–108). Chicago: Science Research Associates, 89–108
  • Rasch G. (1980). Probabilistic models for some intelligence and attainment tests. Chicago: University of Chicago Press
  • Ritsner M, Kurs R, Gibel A, et al. (2005a). Validity of an abbreviated quality of life enjoyment and satisfaction questionnaire (Q-LES-Q-18) for schizophrenia, schizoaffective, and mood disorder patients. Qual Life Res, 14, 1693–703
  • Ritsner M, Kurs R, Ratner Y, Gibel A. (2005b). Condensed version of the quality of life scale for schizophrenia for use in outcome studies. Psychiatry Res, 135, 65–75
  • Rowen D, Mulhern B, Banerjee S, et al. (2012). Estimating preference-based single index measures for dementia using DEMQOL and DEMQOL-Proxy. Value Health, 15, 346–56
  • Salzberger T. (2010). Does the Rasch model convert an ordinal scale into an interval scale? Rasch Meas Trans, 24, 2
  • Scrucca L. (2006). Subset selection in dimension reduction methods. Perugia, Italy: Università di Perugia, Dipartimento Economia, Finanza e Statistica
  • Smith A, Rush R, Fallowfield L, et al. (2008). Rasch fit statistics and sample size considerations for polytomous data. BMC Med Res Methodol, 8, 1–11
  • Smith RM. (1996). Polytomous mean-square fit statistics. Rasch Meas Trans, 10, 516–17
  • van der Velde G, Beaton D, Hogg-Johnston S, et al. (2009). Rasch analysis provides new insights into the measurement properties of the neck disability index. Arthritis Care Res 61:544–51
  • Wing JK, Beevor AS, Curtis RH, et al. (1998). Health of the Nation Outcome Scales (HoNOS). Research and development. Br J Psychiatry 172:11–18
  • Wright BD. (1996). Comparing Rasch measurement and factor analysis. Struct Equ Modeling Multidisciplin J, 3, 3–24
  • Zhu X, Stone CA. (2011). Assessing fit of unidimensional graded response models using Bayesian methods. J Educ Meas, 48, 81–97