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Validation of the Italian version of Mini-ICF-APP, a short instrument for rating activity and participation restrictions in psychiatric disorders

Published online by Cambridge University Press:  19 September 2012

M. Balestrieri ,
M. Isola ,
R. Bonn ,
T. Tam ,
A. Vio ,
M. Linden  and
E. Maso
M. Balestrieri*
Affiliation:
Section of Psychiatry, Department of Experimental and Clinical Medical Sciences, University of Udine, Udine, Italy
M. Isola
Affiliation:
Department of Medical and Biological Sciences, University of Udine, Udine, Italy
R. Bonn
Affiliation:
North-Udine Community Mental Health Centre, Local Health Authority, Udine, Italy
T. Tam
Affiliation:
Section of Psychiatry, Department of Experimental and Clinical Medical Sciences, University of Udine, Udine, Italy
A. Vio
Affiliation:
North-Udine Community Mental Health Centre, Local Health Authority, Udine, Italy
M. Linden
Affiliation:
Research Group Psychosomatic Rehabilitation, Charité University Medicine, Berlin, Germany Department of Behavioral Medicine, Rehabilitation Center Seehof, Teltow/Berlin, Germany
E. Maso
Affiliation:
Section of Psychiatry, Department of Experimental and Clinical Medical Sciences, University of Udine, Udine, Italy North-Udine Community Mental Health Centre, Local Health Authority, Udine, Italy
*
*Address for correspondence: Professor Matteo Balestrieri, Clinica Psichiatrica, Azienda Ospedaliero Universitaria, P.le S.M.Misericordia, 33100 Udine, Italy. (Email: [email protected])
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Abstract

Aims.

The assessment of limitations in social capacities can be done with the Mini-ICF-APP, a rating scale built in reference to the International Classification of Functioning, Disability and Health (ICF). The aim of this study was to assess the reliability and the convergent validity of the Italian version of this scale.

Methods.

We recruited 120 consecutive patients diagnosed with schizophrenia, major depression, bipolar I disorder and anxiety disorders. Included measures were the Brief Psychiatric Rating Scale (BPRS), the Clinical Global Impression Scale (CGI-S), the Personal and Social Performance Scale (PSP) and the Social and Occupational Functioning Assessment Scale (SOFAS).

Results.

The median CGI-S and BPRS scores were 5 and 16.5. Mean Mini-ICF-APP total score was 18.1. Schizophrenics' Mini-ICF-APP score was higher, while that of anxious patients was lower than in the other diagnoses. Intra-class correlations (ICC) revealed a significant inter-rater agreement for total score (ICC 0.987) and for each item of the Mini-ICF-APP. The test–retest agreement was also highly significant (ICC 0.993). The total score of the Mini-ICF-APP obtained good negative correlations with PSP (rs = −0.767) and with SOFAS scores (rs = −0.790). The distribution items of the Mini-ICF-APP showed some skewness, indicating that self-care (item 12) and mobility (item 13) were amply preserved in most patients. The Mini-ICF-APP total score was significantly correlated with both CGI-S (rs = 0.777) and BPRS (rs = 0.729).

Conclusions.

As a short instrument, the Mini-ICF-APP scale seems to be well suited to everyday psychiatric practice as a means of monitoring changes in psychosocial functioning, in particular in schizophrenic patients.

Keywords

ICFMini-ICF-APPparticipation restrictionsPSPpsychopathologysocial functioningSOFAS.
Type
Original Articles
Information
Epidemiology and Psychiatric Sciences , Volume 22 , Issue 1 , March 2013 , pp. 81 - 91
Copyright
Copyright © Cambridge University Press 2012

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References

American Psychiatric Association (1994). Diagnostic and Statistical Manual of Mental Disorders, 4th edn.American Psychiatric Association Press: Washington, DC.Google Scholar
Baron, S, Linden, M (2008). The role of the “International Classification of Functioning, Disability and Health, ICF” in the classification of mental disorders. European Archives of Psychiatry and Clinical Neurosciences 255(Suppl. 5), 81–85.Google Scholar
Baron, S, Linden, M (2009). Disorders of functioning and disorders of competence in relation to sick leave in mental disorders. International Journal of Social Psychiatry 55, 57–63.Google Scholar
Becchi, A, Rucci, P, Placentino, A, Neri, G, de Girolamo, G (2004). Quality of life in patients with schizophrenia – comparison of self-report and proxy assessments. Social Psychiatry and Psychiatric Epidemiology 39, 397–401.Google Scholar
Boldt, C, Brach, M, Grill, E, Berthou, A, Meister, K, Scheuringer, M, Stucki, G (2005). The ICF categories identified in nursing interventions administered to neurological patients with post-acute rehabilitation needs. Disability and Rehabilitation 27, 420–431.CrossRefGoogle ScholarPubMed
Box, GEP, Andersen, SL (1955). Permutation theory in the derivation of robust criteria and the study of departures from assumption. Journal of the Royal Statistical Society, Series B 17, 1–26.Google Scholar
Bulmer, MG (1979). Principles of Statistics. Dover: New York.Google Scholar
Burns, T, Patrick, D (2007). Social functioning as an outcome measure in 381 schizophrenia studies. Acta Psychiatrica Scandinavica 116, 403–418.Google Scholar
Cieza, A, Stucki, G (2005). Content comparison of Health Related Quality of Life (HRQOL) instruments based on the International Classification of Functioning, Disability and Health (ICF). Quality of Life Research 14, 1225–1237.Google Scholar
Guy, W (1976). ECDEU Assessment Manual for Psychopharmacology. U.S. Department of Health, Education, and Welfare: Rockville, MD.Google Scholar
Harvey, PD (2011). Assessment of everyday functioning in schizophrenia. Innovations in Clinical Neurosciences 8, 21–24.Google Scholar
Heinemann, A (2010). Rehabilitation Measures Database. Rehabilitation Institute of Chicago, Center for Rehabilitation Outcomes Research, Northwestern University Feinberg School of Medicine, Department of Medical Social Sciences Informatics Group. Retrieved 1 August 2012 from http://www.rehabmeasures.org/rehabweb/rhstats.aspx.Google Scholar
Hensing, G, Brage, S, Nygǻrd, JF, Sandanger, I (2000). Sickness absence with psychiatric disorders – an increased risk for marginalisation among men? Social Psychiatry and Psychiatric Epidemiology 35, 335–340.CrossRefGoogle ScholarPubMed
Ho, BC, Flaum, M, Hubbard, W, Arndt, S, Andreasen, NC (2004). Validity of symptom assessment in psychotic disorders: information variance across different sources of history. Schizophrenia Research 68, 299–307.Google Scholar
Holmes, W, Bix, B, Shea, J (1996). SF-20 score and item distributions in a human immunodeficiency virus-seropositive sample. Medical Care 34, 562–569.Google Scholar
Juckel, G, Schaub, D, Fuchs, N, Naumann, U, Uhl, I, Witthaus, H, Hargarter, L, Bierhoff, HW, Brüne, M (2008). Validation of the Personal and Social Performance (PSP) Scale in a German sample of acutely ill patients with schizophrenia. Schizophrenia Research 104, 287–293.Google Scholar
Katz, S, Moskowitz, RW, Jackson, BA (1963). Studies of illness in the aged. The index of ADL: a standardized measure of biological and psychosocial function. Journal of American Medical Association 185, 914–919.Google Scholar
Linden, M, Baron, S (2005). Das Mini-ICF-Rating für Psychische Störungen (Mini-ICF-P). Ein Kurzinstrument zur Beurteilung von Fähigkeitsstörungen bei psychischen Erkrankungen. Rehabilitation 44, 144–151.Google Scholar
Linden, M, Weidner, C (2005). Arbeitsunfähigkeit bei psychischen Störungen. Nervenarzt 76, 1421–1431.Google Scholar
Linden, M, Baron, S, Muschalla, B (2009). Mini-ICF-Rating für Aktivitäts- und Partizipationsstörungen bei Psychischen Erkrankungen (Mini-ICF-APP). Verlag Hans Huber: Hogrefe AG, Bern (Italian translation: Linden M., Baron S, Muschalla B. (2012). Mini-ICF-APP. Uno strumento per la valutazione dei deficit di Attività e Partecipazione nei Disturbi Psichici. Eds. Balestrieri, Matteo, Maso, Elisa. Giunti OS editore, Firenze, Italy.)Google Scholar
Morosini, PL, Magliano, L, Brambilla, L, Ugolini, S, Pioli, R (2000). Development, reliability and acceptability of a new version of the DSM-IV Social and Occupational Functioning Assessment Scale (SOFAS) to assess routine social functioning. Acta Psychiatrica Scandinavica 1001, 323–329.Google Scholar
Overall, JE, Gorham, DR (1962). The brief psychiatric rating scale. Psychological Report 10, 799–812.CrossRefGoogle Scholar
Patrick, DL, Burns, T, Morosini, P, Rothman, M, Gagnon, DD, Wild, D, Adriaenssen, I (2009). Reliability, validity and ability to detect change of the clinician-rated Personal and Social Performance scale in patients with acute symptoms of schizophrenia. Current Medical Research Opinion 25, 325–338.Google Scholar
Prytys, M, Garety, PA, Jolley, S, Onwumere, J, Craig, T (2011). Implementing the NICE guideline for schizophrenia recommendations for psychological therapies: a qualitative analysis of the attitudes of CMHT staff. Clinical Psychology and Psychotherapy 18, 48–59.Google Scholar
Ruggeri, M, Lora, A, Semisa, D, SIEP-DIRECT'S Group (2008). The SIEP-DIRECT'S Project on the discrepancy between routine practice and evidence. An outline of main findings and practical implications for the future of community based mental health services. Epidemiologia Psichiatria Sociale 17, 358–368.Google Scholar
Sabbag, S, Twamley, EM, Vella, L, Heaton, RK, Patterson, TL, Harvey, PD (2011). Assessing everyday functioning in schizophrenia: not all informants seem equally informative. Schizophrenia Research 131, 250–255.Google Scholar
Savikko, A, Alexanderson, K, Hensing, G (2001). Do mental health problems increase sickness absence due to other diseases? Social Psychiatry Psychiatric Epidemiology 36, 310–316.Google Scholar
Schaub, D, Brüne, M, Jaspen, E, Pajonk, FG, Bierhoff, HW, Juckel, G (2011). The illness and everyday living: close interplay of psychopathological syndromes and psychosocial functioning in chronic schizophrenia. European Archives of Psychiatry and Clinical Neurosciences 261, 85–93.Google Scholar
Shrout, PE, Fleiss, JL (1979). Intraclass correlations: use in assessing rate reliability. Psychological Bulletin 86, 420–428.Google Scholar
Stier-Jarmer, M, Grill, E, Ewert, T, Bartholomeyczik, S, Finger, M, Mokrusch, T, Kostanjsek, N, Stucki, G (2005). ICF Core Set for patients with neurological conditions in early post-acute rehabilitation facilities. Disability and Rehabilitation 27, 389–396.Google Scholar
Üstün, TB, Kostanjsek, N, Chatterji, S, Rehm, J (2010). Measuring Health and Disability: Manual for WHO Disability Assessment Schedule (WHODAS 2.0). WHO Press: Geneva.Google Scholar
Walter, SD, Eliasziw, M, Donner, A (1998). Sample size and optimal designs for reliability studies. Statistics in Medicine 17, 101–110.3.0.CO;2-E>CrossRefGoogle ScholarPubMed
Wiersma, D, DeJong, A, Ormel, J (1988). The Groningen social disability schedule: development, relationship with I.C.I.D.H., and psychometric properties. International Journal of Rehabilitation Research 11, 213–224.Google Scholar
World Health Organization (2001). International Classification of Functioning, Disability and Health (ICF). WHO Press: Geneva.Google Scholar