The Validation of Indonesian Version of Patient Health Questionnaire-9
DOI:
https://doi.org/10.3889/oamjms.2022.9293Keywords:
Indonesian version of Patient Health Questionnaire, Depression level, Medical students, Validation Patient Health Questionnaire-9, Mini ICD 10Abstract
Background: The level of depression among college students differ to each other based on their activities, particularly in terms of their educational backgrounds. However, the national depression level among these students needs to be investigated further due to the differences of social and cultural environments.
Aims: This research aims to investigate the level of depression among medical students in the range of ages 17-22.
Research Design: The study performed the Indonesian version of PHQ-9 which was assessed to 500 medical students.
Methodology: The Indonesian version of PHQ-9 was prepared via forward-backward translation. The statistical analysis such as the Receiver Operating Characteristic (ROC), the Internal Concurrent Reliability, and concurrent validity were performed.
Results: Our findings have confirmed that the correlation of Indonesian version of PHQ-9 to the original version. The ROC analysis has suggested that the Area under the Curve (AUC) was accounted for 92.0, whereas the Cut-off value was 5.5. With sensitivity and specificity respectively were 0.907 and 0.865, the results could confirm the depression level that equals 5.5 or above.
Conclusion: The PHQ-9 translated version could be used as an evaluation to determine the depression level to the sample of medical students with acceptable validation results.
Downloads
Metrics
Plum Analytics Artifact Widget Block
References
World Health Organisation. Depression and Other Common Mental Disorders. Geneva: World Health Organisation; 2017.
Shin C, Kim Y, Park S, Yoon S, Ko YH, Kim YK, et al. Prevalence and associated factors of depression in general population of Korea: Results from the Korea national health and nutrition examination survey, 2014. J Korean Med Sci. 2017;32(11):1861-9. https://doi.org/10.3346/jkms.2017.32.11.1861 PMid:28960042 DOI: https://doi.org/10.3346/jkms.2017.32.11.1861
Tasman A, Kay J, Lieberman JA, First MB, Riba MB. Psychiatry. 4th ed. New York: John Wiley and Sons, Ltd.; 2015. DOI: https://doi.org/10.1002/9781118753378
American Psychiatric Association, Diagnostic and Statistical Manual of Mental Disorder DSM-IV. Washington, DC: American Pscyhiatric Publishing; 2005.
Peltzer K, Pengpid S. High prevalence of depressive symptoms in a national sample of adults in Indonesia: Childhood adversity, sociodemographic factors and health risk behaviour. Asian J Psychiatr. 2018;33:52-9. https://doi.org/10.1016/j.ajp.2018.03.017 DOI: https://doi.org/10.1016/j.ajp.2018.03.017
Chen Y, Bennett D, Clarke R, Guo Y, Yu C, Bian Z, et al. Patterns and correlates of major depression in Chinese adults: A cross-sectional study of 0.5 million men and women. Psychol Med. 2017;47(5):958-70. https://doi.org/10.1017/S0033291716002889 PMid:27919307 DOI: https://doi.org/10.1017/S0033291716002889
Christiani Y, Byles J, Tavener M, Dugdale P. Socioeconomic related inequality in depression among young and middle-adult women in Indonesia’s major cities. J Affect Disord. 2015;182:76-81. https://doi.org/10.1016/j.jad.2015.04.042 PMid:25978717 DOI: https://doi.org/10.1016/j.jad.2015.04.042
Peltzer K, Pengpid S. Depressive symptoms and social demographic, stress and health risk behaviour among university students in 26 low-, middle- and high-income countries. Int J Psychiatry Clin Pract. 2015;19(4):259-65. https://doi.org/10.3109/13651501.2015.1082598 PMid:26265420 DOI: https://doi.org/10.3109/13651501.2015.1082598
Riskesdas. Prevalensi Depresi pada Penduduk Umur 15 Tahun ke Atas Menurut Provinsi; 2018.
Lecrubier JP, Weiller E, Hergueta T, Amorim P, Bonora LI. MINI Mini International Neuropsychiatric Interview French current DSM-IV; 2015. https://doi.org/10.13140/RG.2.1.2792.9440
Shahid A, Wilkinson K, Marcu S, Shapiro CM. Beck Depression Inventory. New York: Springer; 2011. DOI: https://doi.org/10.1007/978-1-4419-9893-4_8
Kroenke K, Spitzer RL, Williams JB. The PHQ-9: Validity of a brief depression severity measure. J Gen Intern Med. 2001;16(9):606-13. https://doi.org/10.1046/j.1525-1497.2001.016009606.x PMid:11556941 DOI: https://doi.org/10.1046/j.1525-1497.2001.016009606.x
Muñoz-Navarro R, Cano-Vindel A, Medrano LA, Schmitz F, Ruiz-Rodríguez P, Abellán-Maeso C, et al. Utility of the PHQ-9 to identify major depressive disorder in adult patients in Spanish primary care centres. BMC Psychiatry. 2017;17(1):291. https://doi.org/10.1186/s12888-017-1450-8 PMid:28793892 DOI: https://doi.org/10.1186/s12888-017-1450-8
Sirait PJ. Validitas dan Reliabilitas Overt Agitation Severity Scale (OASS) versi Bahasa Indonesia. Universitas Sumatera Utara; 2013.
Osborne JW, Costello AB. Practical Assessment Research and Evaluation, Psychology. 2004;9: 11.
Dahlan MS. Statistik untuk Kedokteran dan Kesehatan: Deskriptif, Bivariat dan Multivariat; 2015.
American Academy of Psychiatrics. Mental Health Screening and Assessment Tools for Primary Care. Vol. 125. American Academy of Psychiatrics; 2010. DOI: https://doi.org/10.1542/peds.2010-0788R
Tsang S, Royse CF, Terkawi AS. Guidelines for developing, translating, and validating a questionnaire in perioperative and pain medicine. Saudi J Anaesth. 2017;11(Suppl 1):S80-9. https://doi.org/10.4103/sja.SJA_203_17 DOI: https://doi.org/10.4103/sja.SJA_203_17
Sinclair S, Blais M, Blacker D. Psychiatric rating scale. In: Comprehensive Textbook of Psychiatry. 10th ed. Philadelphia: Wolters Kluwer Medknow Publications; 2017. p. 2722-48.
Downloads
Published
How to Cite
Issue
Section
Categories
License
Copyright (c) 2022 Cut N. Dian, Elmeida Effendy, Mustafa M. Amin (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
http://creativecommons.org/licenses/by-nc/4.0