Validation of the sixth version of the Addiction Severity Index (ASI-6) for patients in a clinical population of Colombia
Abstract
Introduction: The Addiction Severity Index (ASI-6) is recommended for identifying the needs of addicted patients and assessing the effectiveness of a program.
Objective: To develop a version of the ASI-6 suitable for Colombia and trans-linguistically and trans-culturally equivalent to the original. Additionally, this study also sought to assess the reliability and construct validity of the resulting version.
Materials and methods: The study included Colombian adults with harmful substance use or dependence syndrome who were being treated at drug addiction centers. The original English version underwent a cultural adaptation process. The scale was translated and back-translated to assess its equivalence. Reliability was assessed in terms of internal consistency and interrater and test-retest reliability. The convergent aspect of the construct validity was assessed via the correlation of the instrument with other scales measuring similar underlying constructs.
Results: We found an adequate internal consistency for the subscales of the ASI-6 for its Cronbach´s alpha coefficient was above 0.7 with the exception of the social problems subscale (α=0.66). In addition, interrater and test-retest reliability was high, since their intraclass correlation coefficient (ICC) was above 0.7 for all the subscales. Construct validity was demonstrated by a Spearman correlation coefficient ranging from 0.53 to 0.88 between the ASI-6 subscales and other similar scales.
Conclusion: The version of the ASI-6 adapted to the Colombian context was found to have good reliability and validity, thus it can be introduced into clinical practice. However, additional studies are needed to evaluate its responsiveness and structural validity.
Downloads
References
Sussman S, Sussman AN. Considering the definition of addiction. Int J Environ Res Public Health. 2011;8:4025-38. https://doi.org/10.3390/ijerph8104025
United Nations Office on Drugs and Crime. World Drug Report, 2017. Fecha de consulta: 12 de octubre de 2018. New York: United Nations Office on Drugs and Crime; 2017. p. 68. Disponible en: https://www.unodc.org/wdr2017/field/Booklet_2_HEALTH.pdf
Ministerio de Justicia y del Derecho, Ministerio de Salud y Protección Social. Estudio Nacional de Consumo de Sustancias Psicoactivas en Colombia - 2013. Fecha de consulta: 12 de octubre de 2018. Bogotá: ALVI Impresores S.A.S; 2014. Disponible en: https://www.unodc.org/documents/colombia/2014/Julio/Estudio_de_Consumo_UNODC.pdf
Leshner AI. Addition is a brain disease, and it matters. Science. 1997;278:45-7. https://doi.org/10.1126/science.278.5335.45
French MT, McGeary KA, Chitwood DD, McCoy CB. Chronic illicit drug use, health services utilization and the cost of medical care. Soc Sci Med. 2000;50:1703-13. https://doi.org/10.1016/S0277-9536(99)00411-6
Degenhardt L, Whiteford HA, Ferrari AJ, Baxter AJ, Charlson FJ, Hall WD, et al. Global burden of disease attributable to illicit drug use and dependence: Findings from the Global Burden of Disease Study 2010. Lancet. 2013;382:1564-74. https://doi.org/10.1016/S0140-6736(13)61530-5
Sartor R. The social impact of drug abuse on community life. Med Law. 1991;10:205-8.
Choenni V, Hammink A, van de Mheen D. Association between substance use and the perpetration of family violence in industrialized countries: A systematic review. Trauma Violence Abuse. 2015;18:37-50. https://doi.org/10.1177/1524838015589253
United Nations Office on Drugs and Crime. Treatnet–International Network of Drug Dependence Treatment and Rehabilitation Resource Centres. Fecha de consulta: 17 de septiembre de 2015. Disponible en: https://www.unodc.org/treatment/en/drug-treatmentnetwork---home-archive.html
United Nations Office on Drugs and Crime. Treatnet. Quality standards for drug dependence treatment and care services. Vienna: United Nations; 2012. Fecha de consulta: 17 de septiembre de 2015. Disponible en: https://www.unodc.org/docs/treatment/treatnet_quality_standards.pdf
Cacciola JS, Alterman AI, Habing B, Mclellan AT. Recent status scores for version 6 of the Addiction Severity Index (ASI-6). Addiction. 2011;106:1588-602. https://doi.org/10.1111/j.1360-0443.2011.03482.x
Kessler F, Cacciola J, Alterman A, Faller S, Souza-Formigoni ML, Cruz MS, et al. Psychometric properties of the sixth version of the Addiction Severity Index (ASI-6) in Brazil. Rev Bras Psiquiatr 2012;34:24-33. https://doi.org/10.1590/S1516-44462012000100006
Díaz-Mesa EM, García-Portilla P, Sáiz PA, Bascarán TB, Casares MJ, Fonseca E, et al. Rendimiento psicométrico de la sexta versión del Addiction Severity Index en español (ASI-6). Psicothema. 2010;22:513-9.
Hospital Mental de Antioquia. Segundo Taller sobre Aplicación de Instrumentos Clínico- Investigativos en la Adicción. Manual de aplicación, calificación e interpretación. Bello: Hospital Mental de Antioquia; 1988. p. 147.
Martin CS, Langenbucher JW, Chung T, Sher KJ. Truth or consequences in the diagnosis of substance use disorders. Addiction. 2014;109:1773-8. https://doi.org/10.1111/add.12615
McLellan AT. Is addiction an illness—can it be treated? Subst Abus. 2002;23:67-94.
Bonett DG. Sample size requirements for testing and estimating coefficient alpha. J Educ Behav Stat. 2002;27:335-40. https://doi.org/10.3102/10769986027004335
Walter SD, Eliasziw M, Donner A. Sample size and optimal designs for reliability studies. Stat Med. 1998;17:101-10.
Streiner D, Norman G, Cairney J. Health Measurement Scales. A practical guide to their development and use. Fifth Edit. New York: Oxford University Press; 2015.
Bonett DG, Wright TA. Sample size requirements for estimating Pearson, Kendall and Spearman correlations. Psychometrika. 2000;65:23-8. https://doi.org/10.1007/BF02294183
International Test Commission. International Guidelines on Test Adaptation. Fecha de consulta: 17 de septiembre de 2015. 2005. Disponible en: https://www.intestcom.org/files/guideline_test_adaptation_2ed.pdf
Departamento Administrativo Nacional de Estadística. Clasificación Internacional Uniforme de Ocupaciones. CIUO - 08 A.C. Adaptada para Colombia. Fecha de consulta: 17 de septiembre de 2015. Bogotá D.C.: DANE; 2015. p. 443. Disponible en: https://www.dane.gov.co/files/sen/nomenclatura/ciuo/CIUO_08_AC_2015_07_21.pdf
Terwee CB, Bot SD, de Boer MR, van der Windt DA, Knol DL, Dekker J, et al. Quality criteria were proposed for measurement properties of health status questionnaires. J Clin Epidemiol 2007;60:34-42. https://doi.org/10.1016/j.jclinepi.2006.03.012
Alterman AI, McDermott PA, Cook TG, Metzger D, Rutherford MJ, Cacciola JS, et al. New scales to assess change in the Addiction Severity Index for the opioid, cocaine, and alcohol dependent. Psychol Addict Behav. 1998;12:233-46. https://doi.org/10.1037/0893-164X.12.4.233
Alterman AI, Cacciola JS, Habing B, Lynch KG. Addiction severity index recent and lifetime summary indexes based on nonparametric item response theory methods. Psychol Assess. 2007;19:119-32. https://doi.org/10.1037/1040-3590.19.1.119
Cacciola JS, Alterman AI, Habing B, McLellan AT. Recent status scores for version 6 of the Addiction Severity Index (ASI-6). Addiction. 2011;106:1588-602. https://doi.org/10.1111/j.1360-0443.2011.03482.x
Grissom GR, Bragg A. Addiction Severity Index: Experience in the field. Int J Addict. 1991;26:55-64.
Mokkink LB, Terwee CB, Knol DL, Stratford PW, Alonso J, Patrick DL, et al. The COSMIN checklist for evaluating the methodological quality of studies on measurement properties: A clarification of its content. BMC Med Res Methodol. 2010;10:22. https://doi.org/10.1186/1471-2288-10-22
Bastiaens L, Galus J, Goodlin M. The 12 Item W.H.O.D.A.S. as primary self report outcome measure in a correctional community treatment center for dually diagnosed patients. Psychiatr Q. 2015;86:219-24. https://doi.org/10.1007/s11126-014-9322-6
Thomas McLellan A, Cacciola JC, Alterman AI, Rikoon SH, Carise D. The Addiction Severity Index at 25: Origins, contributions and transitions. Am J Addict. 2006;15:113-24. https://doi.org/10.1080/10550490500528316
Iraurgi-Castillo I. Comparación del instrumento de salud SF-12 frente al SF-36 en pacientes en mantenimiento con metadona. Adicciones. 2007;19:59-67.
Lugo LH, García HI, Gómez C. Confiabilidad del cuestionario de calidad de vida en salud SF-36 en Colombia. Rev Fac Nac Salud Pública. 2006;24:37-50.
Ramírez-Vélez R, Agredo-Zúñiga RA, Jerez-Valderrama AM. Confiabilidad y valores normativos preliminares del cuestionario de salud SF-12 (Short Form 12 Health Survey) en adultos Colombianos. Rev Salud Pública. 2010;12:807-19.
World Health Organization. WHO Disability Assessment Schedule 2.0 (WHODAS 2.0) 2016. Fecha de consulta: 27 de abril de 2016. Disponible en: http://www.who.int/classifications/icf/more_whodas/en/
Mas-Expósito L, Amador-Campos JA, Gómez-Benito J, Lalucat-Jo L. The World Health Organization Short Disability Assessment Schedule: A validation study in patients with schizophrenia. Compr Psychiatry. 2012;53:208-16. https://doi.org/10.1016/j.comppsych.2011.02.009
Buist-Bouwman MA, Ormel J, De Graaf R, Vilagut G, Alonso J, Van Sonderen E, et al. Psychometric properties of the World Health Organization Disability Assessment Schedule used in the European Study of the Epidemiology of Mental Disorders. Int J Methods Psychiatr Res 2008;17:185-97. https://doi.org/10.1002/mpr.261
American Psychiatric Association. Diagnostic and statistical manual of mental disorders. Fifth Edit. Arlington: American Psychiatric Publishing; 2013.
Gold LH. DSM-5 and the assessment of functioning: The World Health Organization Disability Assessment Schedule 2.0 (WHODAS 2.0). J Am Acad Psychiatry Law. 2014;42:173-81.
World Health Organization. Measuring health and disability: Manual for WHO disability assessment schedule WHODAS 2.0. Üstün T, Kostanjsek N, Chatterji S, Rehm J, editores. Geneve: World Health Organization; 2010.
Kiluk BD, Dreifuss JA, Weiss RD, Morgenstern J, Carroll KM. The Short Inventory of Problems – Revised (SIP-R): Psychometric properties within a large, diverse sample of substance use disorder treatment seekers. Psychol Addict Behav. 2013;27:307-14. https://doi.org/1037/a0028445
Alterman AI, Cacciola JS, Ivey MA, Habing B, Lynch KG. Reliability and validity of the alcohol short index of problems and a newly constructed drug short index of problems. J Stud Alcohol Drugs. 2009;70:304-7.
Kiluk BD, Dreifuss JA, Weiss RD, Horigian VE, Carroll KM. Psychometric properties of a Spanish-language version of the Short Inventory of Problems. Psychol Addict Behav. 2013;27:893-900. https://doi.org/10.1037/a0032805
de Vet HCW, Terwee CB, Mokkink LB, Knol DL. Measurement in Medicine. New York: Cambridge University Press; 2011.
López-Pina J. Coeficiente alfa y dimensionalidad en los tests psicométricos. Avances en Medición. 2008;6:131-41.
Mukaka MM. Statistics corner: A guide to appropriate use of correlation coefficient in medical research. Malawi Med J. 2012;24:69-71.
Martínez-Jiménez YP, Cote-Menéndez M, Prieto-Suárez E. Evaluación y diagnóstico multidimensional según el Índice de Severidad de la Adicción, versión 6.0 (ASI-6) en español, de las personas que ingresan a un centro de atención en adicciones en la ciudad de Bogotá, Colombia (2014-2015). Bogotá: Universidad Nacional de Colombia; 2015. Fecha de consulta: 11 de octubre de 2018. Disponible en: http://www.bdigital.unal.edu.co/50808/1/1140814805.2015.pdf
Gil HL, Mello DF de, Ferriani M das GC, Silva MA. Perceptions of adolescents students on the consumption of drugs: A case study in Lima, Perú. Rev Lat Am Enfermagem. 2008;16:551-7.
Manders WA, Janssens JM, Cook WL, Oud JH, De Bruyn EE, Scholte RH. Perceptions of problem behavior in adolescents’ families: Perceiver, target, and family effects. J Youth Adolesc. 2009;38:1328-38. https://doi.org/10.1007/s10964-008-9339-y
Mertens JR, Lu YW, Parthasarathy S, Moore C, Weisner CM. Medical and psychiatric conditions of alcohol and drug treatment patients in an HMO. Arch Intern Med. 2003;163:2511-17. https://doi.org/10.1001/archinte.163.20.2511
Cullen W, O’Brien S, O’Carroll A, O’Kelly FD, Bury G. Chronic illness and multimorbidity among problem drug users: A comparative cross sectional pilot study in primary care. BMC Fam Pract. 2009;10:25-32. https://doi.org/10.1186/1471-2296-10-25
Meier MH, Caspi A, Cerdá M, Hancox RJ, Harrington H, Houts R, et al. Associations between cannabis use and physical health problems in early midlife. JAMA Psychiatry. 2016;73:731-40. https://doi.org/10.1001/jamapsychiatry.2016.0637
Richter D, Eikelmann B, Berger K. Use of the SF-36 in the evaluation of a drug detoxification program. Qual Life Res 2004;13:907-14. https://doi.org/10.1023/B:QURE.0000025589.07313.46
Neale J. Measuring the health of Scottish drug users. Health Soc Care Community. 2004;12:202-11. https://doi.org/10.1111/j.1365-2524.2004.00489.x
Amin-Esmaeili M, Rahimi-Movaghar A, Sharifi V, Hajebi A, Mojtabai R, Radgoodarzi R, et al. Alcohol use disorders in Iran: Prevalence, symptoms, correlates, and comorbidity. Drug Alcohol Depend. 2017;176:48-54. https://doi.org/10.1016/j.drugalcdep.2017.02.018
Subodh BN, Hazari N, Elwadhi D, Basu D. Prevalence of dual diagnosis among clinic attending patients in a de-addiction centre of a tertiary care hospital. Asian J Psychiatr. 2017;25:169-74. https://doi.org/10.1016/j.ajp.2016.10.020
Roncero C, Grau-López L, Palma-Álvarez RF, Rodríguez-Cintas L, Ros-Cucurull E, Esojo A, et al. Higher severity of cocaine addiction is associated with tactile and somatic hallucinations. Eur Psychiatry. 2017;42:63-9. https://doi.org/10.1016/j.eurpsy.2016.11.006
Østergaard MLD, Nordentoft M, Hjorthøj C. Associations between substance use disorders and suicide or suicide attempts in people with mental illness: A Danish nation-wide, prospective, register-based study of patients diagnosed with schizophrenia, bipolar disorder, unipolar depression or personal. Addiction. 2017;112:1250-9. https://doi.org/10.1111/add.13788
Paiva CB, Ferreira IB, Bosa VL, Narváez JC de M. Depression, anxiety, hopelessness and quality of life in users of cocaine/crack in outpatient treatment. Trends Psychiatry Psychother. 2017;39:34-42. https://doi.org/10.1590/2237-6089-2015-0065
Henkel D. Unemployment and substance use: A review of the literature (1990-2010). Curr Drug Abuse Rev. 2011;4:4-27. https://doi.org/10.2174/1874473711104010004
Janlert U. Unemployment as a disease and diseases of the unemployed. Scand J Work Environ Health. 1997;23 (Suppl. 3):79-83.
Velleman R, Bennett G, Miller T, Orford J, Rigby K, Tod A. The families of problem drug users: A study of 50 close relatives. Addiction. 1993;88:1281-9. https://doi.org/10.1111/j.1360-0443.1993.tb02150.x
Amin-Esmaeili M, Hefazi M, Radgoodarzi R, Motevalian A, Sharifi V, Hajebi A, et al. Outof- pocket cost of drug abuse consequences: Results from Iranian National Mental Health Survey. East Mediterr Health J. 2017;23:150-60.
Wilson IM, Graham K, Taft A. Living the cycle of drinking and violence: A qualitative study of women’s experience of alcohol-related intimate partner violence. Drug Alcohol Rev. 2017;36:115-24. https://doi.org/10.1111/dar.12405
Gameroff MJ, Wickramaratne P, Weissman MM. Testing the Short and Screener versions of the Social Adjustment Scale - Self-report (SAS-SR). Int J Methods Psychiatr Res. 2012;21:52-65. https://doi.org/10.1002/mpr.358
Ray JV, Hall J, Rivera-Hudson N, Poythress NG, Lilienfeld SO, Morano M. The relation between self-reported psychopathic traits and distorted response styles: A meta-analytic review. Personal Disord. 2013;4:1-14. https://doi.org/10.1037/a0026482
Busner J, Targum SD, Miller DS. The Clinical Global Impressions scale: Errors in understanding and use. Compr Psychiatry. 2009;50:257-62. https://doi.org/10.1016/j.comppsych.2008.08.005
Some similar items:
- Miguel Simancas-Pallares, Katherine Margarita Arrieta, Luisa Leonor Arévalo, Construct validity and internal consistency of three factor structures and two scoring methods of the 12-item General Health Questionnaire , Biomedica: Vol. 37 No. 3 (2017)
- Juan Carlos Aristizábal, María Teresa Restrepo, Amalia López, Validation by hydrodensitometry of skinfold thickness equations used for female body composition assessment , Biomedica: Vol. 28 No. 3 (2008)
- María Ximena Rojas, Rodolfo José Dennis, Reference values for respiratory parameters in the adult population of Bogotá, D.C., Colombia , Biomedica: Vol. 30 No. 1 (2010)
- Adalberto Campo, Luis Alfonso Díaz, Germán Eduardo Rueda, Validity of the brief Zung's scale for screening major depressive episode among the general population from Bucaramanga, Colombia , Biomedica: Vol. 26 No. 3 (2006)
- Ricardo Sánchez, Juliana Velásquez, Álvaro Navarro, Validation by Rasch analysis of the Mania Scale (EMUN) for measuring manic symptions , Biomedica: Vol. 31 No. 3 (2011)
- Ángela M. Pedraza, Carlos E. Rodríguez-Martínez, Ranniery Acuña, Initial validation of a scale to measure the burden for parents/caregivers of children with asthma and factors associated with this burden in a population of asthmatic children , Biomedica: Vol. 33 No. 3 (2013)
- Eliseo Bustamante, Álvaro Sanabria, Spanish adaptation of The Penn State College of Medicine Scale to assess professionalism in medical students , Biomedica: Vol. 34 No. 2 (2014)
- Luz Helena Cano, María Natalia Acosta, Adriana Pulido, Adaptation to Spanish and criterion validity of a scale for the screening of emotional and behavioral problems in early childhood , Biomedica: Vol. 38 No. Sup.1 (2018): Suplemento 1, Enfermedades crónicas
- Guillermo Castaño, Gloria Sierra, Daniela Sánchez, Yolanda Torres, Carolina Salas, Carolina Buitrago, Mental disorders and drug use in victims of the armed conflict in three cities in Colombia , Biomedica: Vol. 38 No. Sup.1 (2018): Suplemento 1, Enfermedades crónicas
- Sofía Elizabeth Muñoz , Ricardo Sánchez, Ligia Elena del Toro, Assessment of the operational characteristics of the National Comprehensive Cancer Network distress management tool, v. 2.2018, in patients seen at the Instituto Nacional de Cancerología, Bogotá , Biomedica: Vol. 41 No. 4 (2021)
| Article metrics | |
|---|---|
| Abstract views | |
| Galley vies | |
| PDF Views | |
| HTML views | |
| Other views | |
