Using patient characteristics and attitudinal data to identify depression treatment preference groups: A latent-class model

Depression and Anxiety

Volumn 21, Issue 2, 2005, Pages 47-54

  Thacher, Jennifer A ^a   Morey, Edward ^b   Craighead, W Edward ^b  

^a UNIVERSITY OF NEW MEXICO   (United States)

^b UNIVERSITY OF COLORADO   (United States)

Author keywords

Major Depressive Disorder; Patient acceptance of health care; Patient care

Indexed keywords

ADULT; AGED; ARTICLE; ATTITUDE; CONTROLLED STUDY; DEPRESSION; FEMALE; HEALTH CARE COST; HEALTH SURVEY; HUMAN; MALE; PATIENT COMPLIANCE; POPULATION MODEL; PRIORITY JOURNAL; SENSITIVITY ANALYSIS; TREATMENT OUTCOME;

ADOLESCENT; ADULT; AGED; ANTIDEPRESSIVE AGENTS; ATTITUDE; CHOICE BEHAVIOR; DEPRESSIVE DISORDER, MAJOR; FEMALE; HUMANS; MALE; MIDDLE AGED; MODELS, PSYCHOLOGICAL; PATIENT ACCEPTANCE OF HEALTH CARE; PATIENT CARE; PATIENTS; QUESTIONNAIRES; TREATMENT OUTCOME;

EID: 19544392161     PISSN: 10914269     EISSN: None     Source Type: Journal    
DOI: 10.1002/da.20057     Document Type: Article

References (45)

1. Akaike H. 1974. A new look at the statistical model identification. IEEE Transactions on Automatic Control 19:716-723.
2. Aptech Systems I. 1995. GAUSS (Vol. 3.2). Maple Valley, WA.
3. Bandeen-Roche K, Miglioretti D, Zeger S, Rathouz P. 1997. Latent variable regression for multiple discrete outcomes. J Am Stat Assoc 92:1375-1386.
4. Bartholomew D, Knott M. 1999. Latent Variable Models and Factor Analysis (2nd ed.). New York: Oxford University Press.
5. Bozdogan H. 1987. Model selection and Akaike's information criterion (AIC): The general theory and its analytical extensions. Psychometrika 52:345-370.
6. Brundage M, Feldman-Stewart D, Cosby R, Gregg R, Dixon P, Youssef Y, Mackillop W. 2001. Cancer patients' attitudes toward treatment options for advanced non-small cell lung cancer: Implications for patient education and decision support. Patient Educ Couns 45:149-157.
7. Clogg C, Goodman L. 1984. Latent structure analysis of a set of multidimensional contingency tables. J Am Stat Assoc 79: 762-771.
8. Cooper L, Brown C, Vu H, Palenchar D, Gonzales J, Ford D, Powe N. 2000. Primary care patients' opinions regarding the importance of various aspects of care for depression. Gen Hosp Psych 22: 163-173.
9. De Menezes L, Bartholomew D. 1996. New developments in latent structure analysis applied to social attitudes. J R Stat Soc: Ser A 159:213-224.
10. Dempster A, Laird N, Rubin D. 1977. Maximum likelihood from incomplete observations. J R Stat Soc: Ser B 39:1-38.
11. Demyttenaere K. 1997. Compliance during treatment with antidepressants. J Affect Disord 43:27-39.
12. Dwight-Johnson M, Sherbourne C, Liao D, Wells K. 2000. Treatment preferences among depressed primary care patients, J Gen Intern Med 15:527-534.
13. Eid M, Langeheine R, Diener E. 2003. Comparing typological structures across cultures by multigroup latent class analysis - A primer. J Cross Cult Psych 34;195-210.
14. Forman A. 2003. Latent class model diagnostics - A review and some proposals. Computational Statistics and Data Analysis 41:549-559.
15. Green C, Brazier J, Deverill M. 2000. Valuing health-related quality of life: A review of health state valuation techniques. Pharmaco-economics 2000:151-165.
16. Hubert L, Arabie P. 1985. Comparing partitions. J Classification 2:193-218.
17. Hurvich M, Tsai C. 1989. Regression and time series model selection in small samples. Biometrika 76:297-307.
18. Kremer T, Gesten E. 2003. Managed mental health care: The client's perspective. Prof Psych 34:187-196.
19. Lin E, VonKorrff M, Katon W, Bush T, Simon G, Walker E, Robinson P. 1995. The role of the primary care physician in patients' adherence to antidepressant therapy. Med Care 33:67-74.
20. McCombs J, Nicho M, Stimmel G, Sclar D, Beasley C, Gross L. 1990. The cost of antidepressant drug therapy failure: A study of antidepressant use patterns in a Medicaid population. J Clin Psychiatry 51:60-69.
21. McCutcheon A. 1987. Sexual morality, pro-life values, and attitudes toward abortion - A simultaneous latent structure analysis for 1978-1983. Socio Methods Res 16:256-275.
22. McCutcheon A, Nawojcyzk M. 1995. Making the break-Popular sentiment toward legalized abortion among American and Polish Catholic laities. Int J Public Opinion Res 7:232-252.
23. Milligan G, Cooper M. 1986. A study of the comparability of external criteria for hierchical cluster analysis. Multivariate Behavioral Res pp. 441-458.
24. Montgomery A, Harding J, Fahey T. 2001. Shared decision making in hypertension: The impact of patient preferences on treatment choice. Fam Pract 18:309-313.
25. Morey E, Thacher J, Breffle W. (in press). Using angler characteristics and attitudinal data to identify environmental preference classes: A latent-class model. Environmental and Resource Economics.
26. Muthen B, Muthen L. 1998-2004. Mplus User's Guide. Los Angeles: Muthen and Muthen.
27. Myers E, Branthwaite A. 1992. Out-patient compliance with antidepressant medication. Br J Psychiatry 160:83-86.
28. Nease R, Kneeland T, O'Connor G, Sumner W, Lumpkins C, Shaw L, Pryor D, Sox H. 1995. Variation in patient utilities for outcomes of the management of chronic stable angina: Implications for clinical practice guidelines. JAMA 273:1185-1190.
29. O'Brien B, Novosel S, Torrance G, Streiner D. 1995. Assessing the economic value of a new anti-depressant: A willingness-to-pay approach. Pharmacoeconomics 8:34-45.
30. Revicki D, Wood M. 1998. Patient-assigned health state utilities for depression-related outcomes: Differences by depression severity and antidepressant medications. J Affect Disord 48:25-36.
31. SAS Institute Inc. 1987. SAS User's Guide 8.02. Cary, NC: Author.
32. Schwarz G. 1978. Estimating the dimension of a model. Ann Statistics 6:461-464.
33. Sestoft D, Pedersen L, Bendsen B, Hancke B, Larsen A, Mikkelsen S, Unden M, Kreiner S. 1998. The effect of electroconvulsive therapy on patient's attitudes to treatment of depression. Nord J Psychiatry 52:31-37.
34. Simon G, Von Korrff M, Heiligenstein J, Revicki D, Grothaus L, Katon W, Wagner E. 1996. Initial antidepressant choice in primary care: Effectiveness and cost of fluoxetine vs. tricyclic antidepressants. JAMA 275:1897-1902.
35. Thompson D, Buesching D, Grogor K, Oster G. 1996. Patterns of anti-depressant use and their relation to costs of care. Am J Man Care 2:1239-1246.
36. Titterington D, Smith A, Makov U. 1985. Statistical Analysis of Finite Mixture Distribution (1st ed.). New York: Wiley.
37. Tsevat J, Dawson N, Wu A, Lynn J, Soukup J, Cook E, Vidaillet H, Philips R. 1998. Health values of hospitalized patients 80 years or older. JAMA 279:371-375.
38. Vermunt J. 1997. LEM 1.0: A general program for the analysis of categorical data. Tilburg, The Netherlands: Tilburg University.
39. Vermunt J, Magidson J. 2000. Latent GOLD User's Manual. Belmont, MA: Statistical Innovations, Inc.
40. von Daiver M. 1997. Bootstrapping goodness-of-fit statistics for sparse categorical data: Results of a Monte Carlo study. Methods of Pyschological Research Online 2: http://www.pabst-publishers.de/mpr.
41. Walburn J, Gray R, Gournay K, Quraishi S, David A. 2001. Systematic review of patient and nurse attitudes to depot antipsychotic medication. Br J Psychiatry 179:300-307.
42. Wedel M, Kamakura W 2000. Market segmentation: Conceptual and methodological foundations (2nd ed.). Boston: Kluwer.
43. Wells K, Sherbourne C. 1999. Functioning and utility for current health of patients with depression or chronic medical conditions in managed primary care practices. Arch Gen Psychiatry 56:897-904.
44. Wu Z, Freeman J, Greer A, Freeman D, Goodwin J. 2001. The influence of patients' concerns on surgeons' recommendations for early breast cancer. Eur J Cancer Care 10:100-106.
45. Yamaguchi K. 2000. Multinomial logit latent-class regression models: An analysis of the predictors of gender-role attitudes among Japanese women. Am J Sociology 105:1702-1740.