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10-04-2018

Change in functioning outcomes as a predictor of the course of depression: a 12-month longitudinal study

Auteurs: Carlos G. Forero, Elena Olariu, Pilar Álvarez, José-Ignacio Castro-Rodriguez, Maria Jesús Blasco, Gemma Vilagut, Víctor Pérez, Jordi Alonso, INSAyD Investigators

Gepubliceerd in: Quality of Life Research | Uitgave 8/2018

Abstract

Purpose

Functioning is a necessary diagnostic criterion for depression, and thus routinely assessed in depressive patients. While it is highly informative of disorder severity, its change has not been tested for prognostic purposes. Our study aimed to analyze to what extent early functioning changes predict depression in the mid-term.

Methods

Longitudinal study (four occasions: baseline, 1, 3, and 12 months) of 243 patients with depressive symptomatology at three different services (primary care, outpatients, and hospital). Functioning was assessed on the first three occasions using the Global Assessment of Functioning (GAF), the WHODAS-2.0, and a self-reported functioning (SRF) rating scale. Growth mixture modeling of initial assessments served to estimate individual person-change parameters of each outcome. Person-growth parameters were used as predictors of major depressive episode at 12 months in a logistic regression model, adjusted by sex, age, healthcare level, and depression clinical status at third month. Predictive accuracy of all measures was assessed with area under the receiver operating curve (AUC).

Results

Of the 179 patients who completed all assessments, 58% had an active depression episode at baseline and 20% at 12 months (64% non-recoveries and 36% new onsets). Individual trends of change in functioning significantly predicted patient depression status a year later (AUC_WHODAS = 0.76; AUC_GAF = 0.92; AUC_SRF = 0.93).

Conclusions

Longitudinal modeling of functioning was highly predictive of patients’ clinical status after 1 year. Although clinical and patient-reported assessment had high prognostic value, the use of very simple patient-reported outcome measures could improve case management outside specialized psychiatric services.

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Alonso, J., Lépine, J.-P., & ESEMeD/MHEDEA 2000 Scientific Committee. (2007). Overview of key data from the European Study of the Epidemiology of Mental Disorders (ESEMeD). The Journal of Clinical Psychiatry, 68(Suppl 2), 3–9.PubMed

Kessler, R. C. (2012). The costs of depression. The Psychiatric clinics of North America, 35(1), 1–14. https://doi.org/10.1016/j.psc.2011.11.005.CrossRefPubMed

Serrano-Blanco, A., Palao, D. J., Luciano, J. V., Pinto-Meza, A., Luján, L., Fernández, A., … Haro, J. M. (2010). Prevalence of mental disorders in primary care: results from the diagnosis and treatment of mental disorders in primary care study (DASMAP). Social Psychiatry and Psychiatric Epidemiology, 45(2), 201–210. https://doi.org/10.1007/s00127-009-0056-y.CrossRefPubMed

Wang, P. S., Aguilar-Gaxiola, S., Alonso, J., Angermeyer, M. C., Borges, G., Bromet, E. J., … Wells, J. E. (2007). Use of mental health services for anxiety, mood, and substance disorders in 17 countries in the WHO world mental health surveys. The Lancet, 370(9590), 841–850. https://doi.org/10.1016/S0140-6736(07)61414-7.CrossRef

Gilbody, S. M. (2003). Improving the detection and management of depression in primary care. Quality and Safety in Health Care, 12(2), 149–155. https://doi.org/10.1136/qhc.12.2.149.CrossRefPubMed

Zimmerman, M., McGlinchey, J. B., Posternak, M. A., Friedman, M., Attiullah, N., & Boerescu, D. (2006). How should remission from depression be defined? The depressed patient’s perspective. American Journal of Psychiatry, 163(1), 148–150. https://doi.org/10.1176/appi.ajp.163.1.148.CrossRefPubMed

Moos, R. H., McCoy, L., & Moos, B. S. (2000). Global Assessment of Functioning (GAF) ratings: Determinants and role as predictors of one-year treatment outcomes. Journal of Clinical Psychology, 56(4), 449–461.CrossRefPubMed

Curran, P. J., Obeidat, K., & Losardo, D. (2010). Twelve frequently asked questions about growth curve modeling. Journal of Cognition and Development, 11(2), 121–136. https://doi.org/10.1080/15248371003699969.CrossRefPubMedPubMedCentral

Hajek, A., Brettschneider, C., Eisele, M., Lühmann, D., Mamone, S., Wiese, B., … König, H.-H. (2017). Disentangling the complex relation of disability and depressive symptoms in old age—Findings of a multicenter prospective cohort study in Germany. International Psychogeriatrics, 29(6), 885–895. https://doi.org/10.1017/S1041610216002507.CrossRefPubMed

10.

Hybels, C. F., Pieper, C. F., & Blazer, D. G. (2009). The complex relationship between depressive symptoms and functional limitations in community-dwelling older adults: The impact of subthreshold depression. Psychological Medicine, 39(10), 1677. https://doi.org/10.1017/S0033291709005650.CrossRefPubMedPubMedCentral

11.

Mendes de Leon, C. F., & Rajan, K. B. (2014). Psychosocial influences in onset and progression of late life disability. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 69(2), 287–302. https://doi.org/10.1093/geronb/gbt130.CrossRef

12.

Powers, J. H., Patrick, D. L., Walton, M. K., Marquis, P., Cano, S., Hobart, J., … Burke, L. B. (2017). Clinician-Reported Outcome Assessments of Treatment Benefit: Report of the ISPOR Clinical Outcome Assessment Emerging Good Practices Task Force. Value in Health, 20(1), 2–14. https://doi.org/10.1016/j.jval.2016.11.005.CrossRefPubMedPubMedCentral

13.

Vatnaland, T., Vatnaland, J., Friis, S., & Opjordsmoen, S. (2007). Are GAF scores reliable in routine clinical use? Acta Psychiatrica Scandinavica, 115(4), 326–330. https://doi.org/10.1111/j.1600-0447.2006.00925.x.CrossRefPubMed

14.

Söderberg, P., Tungström, S., & Armelius, B.Å. (2005). Special section on the GAF: Reliability of Global Assessment of Functioning ratings made by clinical psychiatric staff. Psychiatric Services, 56(4), 434–438. https://doi.org/10.1176/appi.ps.56.4.434.CrossRefPubMed

15.

Zimmerman, M., McGlinchey, J. B., Posternak, M. A., Friedman, M., Boerescu, D., & Attiullah, N. (2008). Remission in depressed outpatients: More than just symptom resolution? Journal of Psychiatric Research, 42(10), 797–801. https://doi.org/10.1016/j.jpsychires.2007.09.004.CrossRefPubMed

16.

Cieza, A., Brockow, T., Ewert, T., Amman, E., Kollerits, B., Chatterji, S., … Stucki, G. (2002). Linking health-status measurements to the international classification of functioning, disability and health. Journal of Rehabilitation Medicine, 34(5), 205–210. https://doi.org/10.1080/165019702760279189.CrossRefPubMed

17.

American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (5th ed.). Arlington: American Psychiatric Association. https://doi.org/10.1176/appi.books.9780890425596.744053.CrossRef

18.

Regier, D. A., Kuhl, E. A., & Kupfer, D. J. (2013). The DSM-5: Classification and criteria changes. World Psychiatry, 12(2), 92–98. https://doi.org/10.1002/wps.20050.CrossRefPubMedPubMedCentral

19.

Üstün, T., Kostanjsek, N., Chatterji, S., & Rehm, J. (2010). Measuring health and disability: Manual for WHO Disability Assessment Schedule (WHODAS 2.0). Geneva: World Health Organization.

20.

Federici, S., Meloni, F., & Presti, A. L. (2009). International literature review on WHODAS II (World Health Organization Disability Assessment Schedule II). Life Span and Disability, 12(1), 83–110.

21.

Luciano, J. V., Ayuso-Mateos, J. L., Fernandez, A., Aguado, J., Serrano-Blanco, A., Roca, M., & Haro, J. M. (2010). Utility of the twelve-item World Health Organization Disability Assessment Schedule II (WHO-DAS II) for discriminating depression “caseness” and severity in Spanish primary care patients. Quality of Life Research, 19(1), 97–101. https://doi.org/10.1007/s11136-009-9566-z.CrossRefPubMed

22.

Bodlund, O., Kullgren, G., Ekselius, L., Lindström, E., & von Knorring, L. (1994). Axis V—Global Assessment of Functioning Scale. Evaluation of a self-report version. Acta Psychiatrica Scandinavica, 90(5), 342–347.CrossRefPubMed

23.

Ramirez, A., Ekselius, L., & Ramklint, M. (2008). Axis V—Global Assessment of Functioning Scale (GAF), further evaluation of the self-report version. European Psychiatry, 23(8), 575–579. https://doi.org/10.1016/j.eurpsy.2008.05.001.CrossRefPubMed

24.

Olariu, E., Forero, C. G., Álvarez, P., Castro-Rodriguez, J.-I., Blasco, M., & Alonso, J. (2015). Asking patients about their general level of functioning: Is IT worth IT for common mental disorders? Psychiatry Research, 229(3), 791–800. https://doi.org/10.1016/j.psychres.2015.07.088.CrossRefPubMed

25.

Olariu, E., Castro-Rodriguez, J.-I., Álvarez, P., Garnier, C., Reinoso, M., Martín-López, L. M., … Forero, C. G. (2015). Validation of clinical symptom IRT scores for diagnosis and severity assessment of common mental disorders. Quality of Life Research, 24(4), 979–992. https://doi.org/10.1007/s11136-014-0814-5.CrossRefPubMed

26.

Folstein, M. F., Folstein, S. E., & McHugh, P. R. (1975). Mini-mental state. Journal of Psychiatric Research, 12(3), 189–198. https://doi.org/10.1016/0022-3956(75)90026-6.CrossRefPubMed

27.

Sheehan, D. V., Lecrubier, Y., Sheehan, K. H., Amorim, P., Janavs, J., Weiller, E., … Dunbar, G. C. (1998). The MINI-International Neuropsychiatric Interview (M.I.N.I.): The development and validation of a structured diagnostic psychiatric interview for DSM-IV and ICD-10. The Journal of Clinical Psychiatry, 59(suppl 20), 22–33.PubMed

28.

Kroenke, K., Spitzer, R. L., & Williams, J. B. (2001). The PHQ-9: validity of a brief depression severity measure. Journal of general internal medicine, 16(9), 606–613.CrossRefPubMedPubMedCentral

29.

Fitzpatrick, R., Gibbons, E., & Mackintosh, A. (2009). An overview of patient-reported outcome measures for people with anxiety and depression 2009. Patient-reported Outcome Measurement Group Department of Public Health University of Oxford.

30.

Pettersson, A., Boström, K. B., Gustavsson, P., & Ekselius, L. (2015). Which instruments to support diagnosis of depression have sufficient accuracy? A systematic review. Nordic Journal of Psychiatry, 69(7), 497–508. https://doi.org/10.3109/08039488.2015.1008568.CrossRefPubMed

31.

First, M. (2001). Manual diagnóstico y estadístico de los trastornos mentales DSM-IV TR. Barcelona: Masson.

32.

Centers for Disease Control and Prevention, & National Center for Health Statistics. (2013). ICD—ICD-9-CM—International classification of diseases, ninth revision, clinical modification. Classification of Diseases, Functioning, and Disability, 2008, 1–2.

33.

Vázquez-Barquero, J. L., Vázquez, E.B., Castanedo, H., Saiz, S., Uriarte, J., Morales, M., … Ustün, T. B. (2000). Spanish version of the new World Health Organization Disability Assessment Schedule II (WHO-DAS-II): Initial phase of development and pilot study. Cantabria disability work group. Actas Españolas de Psiquiatría, 28(2), 77–87.PubMed

34.

Curran, P. J., Bauer, D. J., & Willoughby, M. T. (2004). Testing main effects and interactions in latent curve analysis. Psychological Methods, 9(2), 220–237. https://doi.org/10.1037/1082-989X.9.2.220.CrossRefPubMed

35.

Nylund, K. L., Asparouhov, T., & Muthén, B. O. (2007). Deciding on the number of classes in latent class analysis and growth mixture modeling: A Monte Carlo simulation study. Structural Equation Modeling: A Multidisciplinary Journal, 14(4), 535–569. https://doi.org/10.1080/10705510701575396.CrossRef

36.

Dziak, J. J., Lanza, S. T., & Tan, X. (2014). Effect size, statistical power, and sample size requirements for the bootstrap likelihood ratio test in latent class analysis. Structural Equation Modeling: A Multidisciplinary Journal, 21(4), 534–552. https://doi.org/10.1080/10705511.2014.919819.CrossRef

37.

Larsen, R. (2011). Missing data imputation versus full information maximum likelihood with second-level dependencies. Structural Equation Modeling: A Multidisciplinary Journal, 18(4), 649–662.CrossRef

38.

van Buuren, S. (2007). Multiple imputation of discrete and continuous data by fully conditional specification. Statistical Methods in Medical Research, 16(3), 219–242. https://doi.org/10.1177/0962280206074463.CrossRefPubMed

39.

Castro-Rodríguez, J. I., Olariu, E., Garnier-Lacueva, C., Martín-López, L. M., Pérez-Solà, V., Alonso, J., & Forero, C. G. (2015). Diagnostic accuracy and adequacy of treatment of depressive and anxiety disorders: A comparison of primary care and specialized care patients. Journal of Affective Disorders, 172, 462–471. https://doi.org/10.1016/j.jad.2014.10.020.CrossRefPubMed

40.

Wardenaar, K. J., Giltay, E. J., van Veen, T., Zitman, F. G., & Penninx, B. W. J. H. (2012). Symptom dimensions as predictors of the two-year course of depressive and anxiety disorders. Journal of Affective Disorders, 136(3), 1198–1203. https://doi.org/10.1016/j.jad.2011.11.037.CrossRefPubMed

41.

McKnight, P. E., & Kashdan, T. B. (2009). The importance of functional impairment to mental health outcomes: A case for reassessing our goals in depression treatment research. Clinical Psychology Review, 29(3), 243–259. https://doi.org/10.1016/j.cpr.2009.01.005.CrossRefPubMedPubMedCentral

42.

Tiersky, L. A., DeLuca, J., Hill, N., Dhar, S. K., Johnson, S. K., Lange, G., … Natelson, B. H. (2001). Longitudinal assessment of neuropsychological functioning, psychiatric status, functional disability and employment status in chronic fatigue syndrome. Applied Neuropsychology, 8(1), 41–50. https://doi.org/10.1207/S15324826AN0801_6.CrossRefPubMed

43.

Fleury, M.-J., Ngui, A., Bamvita, J.-M., Grenier, G., & Caron, J. (2014). Predictors of healthcare service utilization for mental health reasons. International Journal of Environmental Research and Public Health, 11(12), 10559–10586. https://doi.org/10.3390/ijerph111010559.CrossRefPubMedPubMedCentral

44.

Álvarez, A. S. (2012). The application of the international classification of functioning, disability, and health in psychiatry. American Journal of Physical Medicine & Rehabilitation, 91, S69–S73. https://doi.org/10.1097/PHM.0b013e31823d4f1c.CrossRef

45.

Geisser, M. E., Clauw, D. J., Strand, V., Gendreau, M. R., Palmer, R., & Williams, D. A. (2010). Contributions of change in clinical status parameters to Patient Global Impression of Change (PGIC) scores among persons with fibromyalgia treated with milnacipran. Pain, 149(2), 373–378. https://doi.org/10.1016/j.pain.2010.02.043.CrossRefPubMed

46.

Ramirez, A., Ekselius, L., & Ramklint, M. (2008). Axis V—Global Assessment of Functioning Scale (GAF), further evaluation of the self-report version. European Psychiatry, 23, 575–579. https://doi.org/10.1016/j.eurpsy.2008.05.001.CrossRefPubMed

47.

Bradley, S. M., Rumsfeld, J. S., & Ho, P. M. (2016). Incorporating health status in routine care to improve health care value. JAMA, 316(5), 487. https://doi.org/10.1001/jama.2016.6495.CrossRefPubMed

48.

Sheeran, T., & Zimmerman, M. (2002). Case identification of depression with self-report questionnaires. Psychiatry Research, 109(1), 51–59.CrossRefPubMed

49.

Alson, A. R., Robinson, D. M., Ivanova, D., Azer, J., Moreno, M., Turk, M. L., … Blackman, K. S. (2016). Depression in primary care. The International Journal of Psychiatry in Medicine, 51(2), 182–200. https://doi.org/10.1177/0091217416636580.CrossRefPubMed

Titel: Change in functioning outcomes as a predictor of the course of depression: a 12-month longitudinal study
Auteurs: Carlos G. Forero
Elena Olariu
Pilar Álvarez
José-Ignacio Castro-Rodriguez
Maria Jesús Blasco
Gemma Vilagut
Víctor Pérez
Jordi Alonso
INSAyD Investigators
Publicatiedatum: 10-04-2018
Uitgeverij: Springer International Publishing
Gepubliceerd in: Quality of Life Research / Uitgave 8/2018
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI: https://doi.org/10.1007/s11136-018-1853-0

Bohn Stafleu van Loghum

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Abstract

Purpose

Methods

Results

Conclusions

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