Articles Vol. 65 No. CĐ 3 - Bệnh viện Phổi Trung ương 15/05/2024

5. CURRENT SITUATION OF DEPRESSION ACCORDING TO PHQ-9 SCALE IN PEOPLE WITH DRUG-RESISTANT TUBERCULOSIS IN VIETNAM, 2023

Le Ngoc Huy1,2, Nguyen Binh Hoa1,2, Le Minh Giang3,4, Nguyen Huy Binh3,4, Dinh Van Luong1,2
1 National Lung Hospital
2 Bệnh viện Phổi Trung ương
3 Hanoi Medical University
4 Đại học Y Hà Nội
Corresponding author: Huy.lengochmu@gmail.com
DOI: 10.52163/yhc.v65iCD3.1100
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Abstract

Introduction: This study aims to explore the prevalence of depression among drug-resistant tuberculosis (TB) patients in Vietnam. A total of 250 patients were sampled, utilizing the PHQ- 9 questionnaire to assess levels of depression, along with gathering personal characteristics including age, geographical location, occupation, and treatment frequency.

Methods: This quantitative study employed questionnaires and descriptive statistical analysis to identify depression levels and related factors.

Results: Findings indicate that 34.4% of patients did not experience depression, whereas 36.8% suffered from mild depression and 14% from moderate depression. A significantly increased level of depression was observed in individuals who had a history of forgetting to take their TB medication (OR = 0.5; p = 0.032) and in the low-performing knowledge group with a high rate of depression (70.2%).

Discussion: The research underscores the importance of screening and intervening for depression among drug-resistant TB patients, especially those with a history of non-compliance with treatment. Enhancing psychological support and timely intervention can improve the quality of life and treatment outcomes for TB patients.

References
[1]
Charlson FJ, Ferrari AJ, Santomauro DF, Diminic S, Google Scholar
[2]
Stockings E, Scott JG, et al. Global Epidemiology and Google Scholar
[3]
Burden of Schizophrenia: Findings Google Scholar
[4]
From the Global Burden of Disease Study 2016. Google Scholar
[5]
Schizophr Bull. 2018 Oct 17;44(6):1195–203. Google Scholar
[6]
Depression and Other Common Mental Disorders Google Scholar
[7]
[Internet]. [cited 2024 Apr 6]. Available Google Scholar
[9]
redirect/depression-global-health-estimates Google Scholar
[10]
Global Tuberculosis Report 2023 [Internet]. [cited Google Scholar
[11]
Mar 13]. Available from: https://www. Google Scholar
[12]
who.int/teams/global-tuberculosis-programme/ Google Scholar
[13]
tb-reports/global-tuberculosis-report-2023 Google Scholar
[14]
Sweetland A, Oquendo M, Wickramaratne P, Google Scholar
[15]
Weissman M, Wainberg M. Depression: a silent Google Scholar
[16]
driver of the global tuberculosis epidemic. World Google Scholar
[17]
Psychiatry. 2014 Oct;13(3):325–6. Google Scholar
[18]
Vega P, Sweetland A, Acha J, Castillo H, Guerra Google Scholar
[19]
D, Smith Fawzi MC, et al. Psychiatric issues in Google Scholar
[20]
the management of patients with multidrug-resistant Google Scholar
[21]
tuberculosis. Int J Tuberc Lung Dis Off J Google Scholar
[22]
Int Union Tuberc Lung Dis. 2004 Jun;8(6):749–59. Google Scholar
[23]
Pachi A, Bratis D, Moussas G, Tselebis A. Psychiatric Google Scholar
[24]
Morbidity and Other Factors Affecting Google Scholar
[25]
Treatment Adherence in Pulmonary Tuberculosis Google Scholar
[26]
Patients. Tuberc Res Treat. 2013;2013:489865. Google Scholar
[27]
Redwood L, Mitchell EMH, Viney K, Snow K, Google Scholar
[28]
Nguyen TA, Dung LAT, et al. Depression, stigma and Google Scholar
[29]
quality of life in people with drug-susceptible TB Google Scholar
[30]
and drug-resistant TB in Vietnam.Int J Tuberc Lung Dis. Google Scholar
[31]
Jun 1;25(6):461–7. Google Scholar
[32]
Acha J, Sweetland A, Guerra D, Chalco K, Castillo Google Scholar
[33]
H, Palacios E. Psychosocial support groups for patients Google Scholar
[34]
with multidrug-resistant tuberculosis: five years of Google Scholar
[35]
experience. Glob Public Health. 2007;2(4):404–17. Google Scholar
[36]
Aydin IO, Uluşahin A. Depression, anxiety Google Scholar
[37]
comorbidity, and disability in tuberculosis and Google Scholar
[38]
chronic obstructive pulmonary disease patients: Google Scholar
[39]
applicability of GHQ-12. Gen Hosp Psychiatry. Google Scholar
[40]
;23(2):77–83. Google Scholar
[41]
Deribew A, Tesfaye M, Hailmichael Y, Apers Google Scholar
[42]
L, Abebe G, Duchateau L, et al. Common mental Google Scholar
[43]
disorders in TB/HIV co-infected patients in Google Scholar
[44]
Ethiopia. BMC Infect Dis. 2010 Jul 9;10:201. Google Scholar
[45]
Galea JT, Monedero-Recuero I, Sweetland AC. Google Scholar
[46]
Beyond screening: a call for the routine integration of Google Scholar
[47]
mental health care with tuberculosis treatment. Google Scholar
[48]
Public Health Action. 2019 Mar 21;9(1):2. Google Scholar
[49]
Where there’s a will, there’s a way: advancing Google Scholar
[50]
integrated care for mental health, substance Google Scholar
[51]
use and tuberculosis disease - PubMed [Internet]. Google Scholar
[52]
[cited 2024 Apr 6]. Available from: https:// Google Scholar
[53]
pubmed.ncbi.nlm.nih.gov/31097057/ Google Scholar
[54]
Van Rie A, Sengupta S, Pungrassami P, Balthip Google Scholar
[55]
Q, Choonuan S, Kasetjaroen Y, et al. Measuring Google Scholar
[56]
stigma associated with tuberculosis and HIV/ Google Scholar
[57]
AIDS in southern Thailand: exploratory and Google Scholar
[58]
confirmatory factor analyses of two new scales. Google Scholar
[59]
Trop Med Int Health TM IH. 2008 Jan;13(1):21– Google Scholar
[60]
Alonso J, Liu Z, Evans-Lacko S, Sadikova E, Google Scholar
[61]
Sampson N, Chatterji S, et al. Treatment gap for Google Scholar
[62]
anxiety disorders is global: Results of the World Google Scholar
[63]
Mental Health Surveys in 21 countries. Depress Google Scholar
[64]
Anxiety. 2018 Mar;35(3):195–208. Google Scholar
[65]
Kroenke K, Spitzer RL, Williams JB. The PHQ- Google Scholar
[66]
: validity of a brief depression severity measure. Google Scholar
[67]
J Gen Intern Med. 2001 Sep;16(9):606–13. Google Scholar
[68]
Ali GC, Ryan G, De Silva MJ. Validated Screening Google Scholar
[69]
Tools for Common Mental Disorders in Low Google Scholar
[70]
and Middle Income Countries: A Systematic Review. Google Scholar
[71]
PLoS ONE. 2016 Jun 16;11(6):e0156939. Google Scholar
[72]
Nguyen N, An P, Tien N. Reliability and Validity Google Scholar
[73]
of Vietnamese Version of Patient Health Questionnaire 9 Google Scholar
[74]
Items (PHQ-9) Among UMP Medical Freshmen. Google Scholar
[75]
In 2022. p. 901–23. Google Scholar
[76]
Lotrakul M, Sumrithe S, Saipanish R. Reliability Google Scholar
[77]
and validity of the Thai version of the PHQ-9. Google Scholar
[78]
BMC Psychiatry. 2008;8:46. Google Scholar
[79]
Kigozi G. Confirmatory factor analysis of the Google Scholar
[80]
Patient Health Questionnaire-9: A study amongst Google Scholar
[81]
tuberculosis patients in the Free State province. Google Scholar
[82]
South Afr J Infect Dis [Internet]. 2020 [cited Google Scholar
[83]
Apr 6];35(1). Available from: https://www. Google Scholar
[84]
ncbi.nlm.nih.gov/pmc/articles/PMC8378120/ Google Scholar
[85]
Velen K, Nguyen VN, Nguyen BH, Dang T, Google Scholar
[86]
Nguyen HA, Vu DH, et al. Harnessing new Google Scholar
[87]
mHealth technologies to Strengthen the Management Google Scholar
[88]
of Multidrug-Resistant Tuberculosis in Vietnam Google Scholar
[89]
(V-SMART trial): a protocol for a randomised Google Scholar
[90]
controlled trial. BMJ Open. 2022 Jun22;12(6):e052633. Google Scholar
[91]
The Patient Health Questionnaire (PHQ-9) as a Google Scholar
[92]
tool to screen for depression in people with multiple Google Scholar
[93]
sclerosis: a cross-sectional validation study Google Scholar
[94]
| BMC Psychology | Full Text [Internet]. [cited Google Scholar
[95]
Apr 6]. Available from: https://bmcpsychology. Google Scholar
[96]
biomedcentral.com/articles/10.1186/ s40359-022-00949-8 Google Scholar
[97]
Shrestha SK, Joshi S, Bhattarai RB, Joshi LR, Google Scholar
[98]
Adhikari N, Shrestha SK, et al. Prevalence Google Scholar
[99]
and risk factors of depression in patients with Google Scholar
[100]
drug-resistant tuberculosis in Nepal: A cross-sectional Google Scholar
[101]
study. J Clin Tuberc Mycobact Dis. 2020 Oct 29;21:100200. Google Scholar
[102]
Batte C, Namusobya MS, Kirabo R, Mukisa J, Google Scholar
[103]
Adakun S, Katamba A. Prevalence and factors Google Scholar
[104]
associated with non-adherence to multi-drug resistant Google Scholar
[105]
tuberculosis (MDR-TB) treatment at Mulago National Google Scholar
[106]
Referral Hospital, Kampala, Uganda. Afr Health Sci. Google Scholar
[107]
Apr 16;21(1):238–47. Google Scholar
[108]
Endo Y, Jaramillo J, Yadav RPH. Patient- and Google Scholar
[109]
Health-System-Related Barriers to Treatment Google Scholar
[110]
Adherence for Patients with Drug-Resistant Google Scholar
[111]
Tuberculosis in the Philippines: A Mixed-Methods Google Scholar
[112]
Study. Tuberc Res Treat. 2022 Nov 19;2022:e6466960. Google Scholar
[113]
Sharma R, Bakshi H, Prajapati S, Bhatt GS, Mehta R, Google Scholar
[114]
Rami KC, et al. Prevalence and Determinants of Google Scholar
[115]
Depression among Multi Drug Resistant Google Scholar
[116]
(MDR) TB cases registered under National Google Scholar
[117]
Tuberculosis Elimination Program in Ahmedabad Google Scholar
[118]
City. Indian J Community Med Off Publ Indian Google Scholar
[119]
Assoc Prev Soc Med. 2022;47(1):45–9. Google Scholar
[120]
Risk Factors for Depression in Tuberculosis Google Scholar
[121]
Patients: A Meta-Analysis - PMC [Internet]. [cited Google Scholar
[122]
Apr 6]. Available from: https://www.ncbi. Google Scholar
[123]
nlm.nih.gov/pmc/articles/PMC9012238/ Google Scholar