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06-08-2020

Relationship between family functioning and health-related quality of life among methadone maintenance patients: a Bayesian approach

Auteurs: Khuong Quynh Long, Ong Phuc Thinh, Trinh Thi Kim Thao, Nguyen Van Huy, Vu Thi Hoang Lan, Vu Quynh Mai, Hoang Van Minh

Gepubliceerd in: Quality of Life Research | Uitgave 12/2020

Abstract

Purpose

To examine the relationship of family functioning on health-related quality of life (HRQoL) among methadone maintenance patients using the Bayesian approach.

Methods

A cross-sectional study was conducted on 182 patients at Go Vap Methadone Clinic, Ho Chi Minh City, Vietnam. Family functioning and HRQoL were measured by the APGAR scale and World Health Organization Quality of Life short-form instrument (WHOQoL-BREF), respectively. Directed Acyclic Graphs were used to present the conceptual framework and to identify a set of confounders of the relationship between family functioning and HRQoL. Bayesian multivariable linear regressions were fitted with four different priors to determine the effect size of the relationship of interest.

Results

The mean score of APGAR was 6.0 (SD = 3.3), and the mean scores of HRQoL were from 47.1 (SD = 17.6) in the social relationships dimension to 69.0 (SD = 10.3) in the environment dimension. Patients with a higher score of family functioning were likely to have a higher score of HRQoL, with coefficients and 95% highest density interval (HDI) greater than 0 in all priors. Family functioning had the most substantial impact on the psychological health dimension, with 99.9% to 100% and 44.6% to 83.7% of posterior distribution greater than 1 and 2, in different priors, respectively.

Conclusion

Family functioning is intimately associated with HRQoL. Treatment plans for patients undergoing methadone maintenance treatment should aim to involve the families appropriately and effectively to maximize the benefits for patients and improve their overall well-being.

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Amato, L., Davoli, M., Perucci, C. A., Ferri, M., Faggiano, F., & Mattick, R. P. (2005). An overview of systematic reviews of the effectiveness of opiate maintenance therapies: Available evidence to inform clinical practice and research. Journal of Substance Abuse Treatment, 28(4), 321–329. https://doi.org/10.1016/j.jsat.2005.02.007.CrossRefPubMed

Schuckit, M. A. (2016). Treatment of opioid-use disorders. New England Journal of Medicine, 375(4), 357–368. https://doi.org/10.1056/NEJMra1604339.CrossRefPubMed

Fullerton, C. A., Kim, M., Thomas, C. P., Lyman, D. R., Montejano, L. B., Dougherty, R. H., et al. (2014). Medication-assisted treatment with methadone: Assessing the evidence. Psychiatric Services, 65(2), 146–157. https://doi.org/10.1176/appi.ps.201300235.CrossRefPubMed

Nguyen, L. H., Nguyen, L. H. T., Boggiano, V. L., Hoang, C. D., Van Nguyen, H., Le, H. T., et al. (2017). Quality of life and healthcare service utilization among methadone maintenance patients in a mountainous area of Northern Vietnam. Health and Quality of Llife Outcomes, 15(1), 77. https://doi.org/10.1186/s12955-017-0633-9.CrossRef

Nguyen, L. H., Tran, B. X., Nguyen, H. L. T., Nguyen, C. T., Hoang, C. D., Le, H. Q., et al. (2017). Psychological distress among methadone maintenance patients in Vietnamese Mountainous Areas. AIDS and Behavior, 21(11), 3228–3237. https://doi.org/10.1007/s10461-017-1779-5.CrossRefPubMed

The Prime Minister. (2012). No. 608/QD-TTg: Approving the National Strategy on HIV/AIDS Prevention and Control through 2020 with a vision to 2030. Hanoi, Vietnam.

Drummond, M. F., Sculpher, M. J., Claxton, K., Stoddart, G. L., & Torrance, G. W. (2015). Methods for the economic evaluation of health care programmes (4th ed.). Oxford: Oxford University Press.

De Maeyer, J., Vanderplasschen, W., Lammertyn, J., van Nieuwenhuizen, C., Sabbe, B., & Broekaert, E. (2011). Current quality of life and its determinants among opiate-dependent individuals five years after starting methadone treatment. Quality of Life Research, 20(1), 139–150. https://doi.org/10.1007/s11136-010-9732-3.CrossRefPubMed

Zubaran, C., & Foresti, K. (2009). Quality of life and substance use: Concepts and recent tendencies. Current Opinion in Psychiatry, 22(3), 281–286. https://doi.org/10.1097/yco.0b013e328328d154.CrossRefPubMed

10.

Xiao, L., Wu, Z., Luo, W., & Wei, X. (2010). Quality of life of outpatients in methadone maintenance treatment clinics. Journal of Acquired Immune Deficiency Syndromes, 53(Suppl 1), S116. https://doi.org/10.1097/QAI.0b013e3181c7dfb5.CrossRefPubMed

11.

Smilkstein, G. (1978). The family APGAR: A proposal for a family function test and its use by physicians. The Journal of Family Practice, 6(6), 1231–1239.PubMed

12.

Eshagh Afkari, M., Ghasemi, A., Shojaeizadeh, D., Tol, A., Rahimi Foroshani, A., & Taghdisi, M. H. (2013). Comparison between family function dimensions and quality of life among amphetamine addicts and non- addicts. Iranian Red Crescent Medical Journal, 15(4), 356–362. https://doi.org/10.5812/ircmj.9947.CrossRefPubMedPubMedCentral

13.

Li, P., Luo, J., & Zhang, C.-M. (2007). The influence of methadone maintenance treatment on family function of heroin addicts. Chinese Mental Health Journal, 21(3), 155.

14.

Lin, C., Wu, Z., & Detels, R. (2011). Family support, quality of life and concurrent substance use among methadone maintenance therapy clients in China. Public Health, 125(5), 269–274. https://doi.org/10.1016/j.puhe.2011.01.009.CrossRefPubMedPubMedCentral

15.

Tomori, C., Go, V. F., Huong, N. M., Binh, N. T., Zelaya, C. E., Celentano, D. D., et al. (2014). “In their perception we are addicts”: Social vulnerabilities and sources of support for men released from drug treatment centers in Vietnam. International Journal of Drug Policy, 25(5), 897–904. https://doi.org/10.1016/j.drugpo.2014.04.012.CrossRefPubMed

16.

Giang, L. M., Huong, N. T. L., Nhu, N. T., & Thu, V. T. H. (2015). Quality of life and related factors among methadone maintenance patients in Hai Phong, Vietnam. Journal of Medical Research, 96(4).

17.

World Health Organization. Division of Mental, H. (1996). WHOQOL-BREF : Introduction, administration, scoring and generic version of the assessment : Field trial version, December 1996. Geneva: World Health Organization.

18.

Tran, B. X., Ohinmaa, A., Duong, A. T., Do, N. T., Nguyen, L. T., Nguyen, Q. C., et al. (2012). Changes in drug use are associated with health-related quality of life improvements among methadone maintenance patients with HIV/AIDS. Quality of Life Research, 21(4), 613–623. https://doi.org/10.1007/s11136-011-9963-y.CrossRefPubMed

19.

Wang, P.-W., Wu, H.-C., Yen, C.-N., Yeh, Y.-C., Chung, K.-S., Chang, H.-C., et al. (2012). Change in quality of life and its predictors in heroin users receiving methadone maintenance treatment in Taiwan: An 18-month follow-up study. The American Journal of Drug Alcohol Abuse, 38(3), 213–219. https://doi.org/10.3109/00952990.2011.649222.CrossRefPubMed

20.

Textor, J., van der Zander, B., Gilthorpe, M. S., Liśkiewicz, M., & Ellison, G. T. H. (2017). Robust causal inference using directed acyclic graphs: the R package ‘dagitty’. International Journal of Epidemiology, 45(6), 1887–1894. https://doi.org/10.1093/ije/dyw341.CrossRef

21.

Shrier, I., & Platt, R. W. (2008). Reducing bias through directed acyclic graphs. BMC Medical Research Methodology, 8(1), 70. https://doi.org/10.1186/1471-2288-8-70.CrossRefPubMedPubMedCentral

22.

Dang, T. N., Long, K. Q., Tram, H. T., Hong, L. H., & Vo, T. M. (2018). Directed acyclic graphs: Alternative tool for causal inference in epidemiology and biostatistics research and teaching. Medpharmes, 2(3), 12–16. https://doi.org/10.32895/UMP.MPR.2.3.12.CrossRef

23.

Perezgonzalez, J. D. (2015). Fisher, Neyman-Pearson or NHST? A tutorial for teaching data testing. Frontiers in Psychology, 6, 223. https://doi.org/10.3389/fpsyg.2015.00223.CrossRefPubMedPubMedCentral

24.

Gelman, A., & Geurts, H. M. (2017). The statistical crisis in science: How is it relevant to clinical neuropsychology? The Clinical Neuropsychologist, 31(6–7), 1000–1014. https://doi.org/10.1080/13854046.2016.1277557.CrossRefPubMed

25.

Van de Schoot, R., Kaplan, D., Denissen, J., Asendorpf, J. B., Neyer, F. J., & Van Aken, M. A. (2014). A gentle introduction to Bayesian analysis: Applications to developmental research. Child Development, 85(3), 842–860. https://doi.org/10.1111/cdev.12169.CrossRefPubMed

26.

Amrhein, V., Greenland, S., & McShane, B. (2019). Scientists rise up against statistical significance. Berlin: Nature Publishing Group.CrossRef

27.

McShane, B. B., Gal, D., Gelman, A., Robert, C., & Tackett, J. L. (2019). Abandon statistical significance. The American Statistician, 73(sup1), 235–245. https://doi.org/10.1080/00031305.2018.1527253.CrossRef

28.

Kruschke, J. (2015). Doing bayesian data analysis (2nd ed.). Boston: Academic Press.

29.

Bürkner, P.-C. (2017). brms: An R package for bayesian multilevel models using stan. Journal of Statistical Software. https://doi.org/10.18637/jss.v080.i01.CrossRef

30.

Goodman, S. N. (1999). Toward evidence-based medical statistics. 2: The Bayes factor. Annals of Internal Medicine, 130(12), 1005–1013. https://doi.org/10.7326/0003-4819-130-12-199906150-00019.CrossRefPubMed

31.

Gelman, A., Carlin, J., Stern, H., Dunson, D., Vehtari, A., & Rubin, D. (2013). Bayesian data analysis (3rd ed.). New York: Chapman and Hall/CRC.CrossRef

32.

Fei, J. T., Yee, A., & Habil, M. H. (2016). Psychiatric comorbidity among patients on methadone maintenance therapy and its influence on quality of life. The American Journal on Addictions, 25(1), 49–55. https://doi.org/10.1111/ajad.12317.CrossRef

33.

Tran, B. X., Moir, M., Nguyen, T. M. T., Do, H. N., Vu, G. T., Dang, A. K., et al. (2020). Changes in quality of life and its associated factors among illicit drug users in Vietnamese mountainous provinces: A 12-month follow-up study. Substance Abuse Treatment, Prevention, Policy, 15(1), 1–8. https://doi.org/10.1186/s13011-020-00265-7.CrossRef

34.

Kim, U. (1997). Asian collectivism: An indigenous perspective. Asian Perspectives on Psychology, 19, 147–163.

35.

O’Sullivan, D., Xiao, Y., & Watts, J. R. (2019). Recovery capital and quality of life in stable recovery from addiction. Rehabilitation Counseling Bulletin, 62(4), 209–221. https://doi.org/10.1177/0034355217730395.CrossRef

36.

Rhodes, T. (2018). The becoming of methadone in Kenya: How an intervention's implementation constitutes recovery potential. Social Science Medicine, 201, 71–79. https://doi.org/10.1016/j.socscimed.2018.02.007.CrossRefPubMed

37.

Ho, Y.-F., Ng, M.-H., Tsai, C.-C., Lee, C.-H., Tsai, D., Chou, J.-Y., et al. (2017). Major depression and related factors among heroin users who received methadone maintenance treatment in Taiwan: A case control study. Journal of Substance Use, 22(4), 457–462. https://doi.org/10.3109/14659891.2015.1021866.CrossRef

38.

Koller, D., & Friedman, N. (2009). Probabilistic graphical models: Principles and techniques. Cambridge: MIT press.

39.

Chatham, L. R., Knight, K., Joe, G. W., & Simpson, D. D. (1995). Suicidality in a sample of methadone maintenance clients. The American Journal of Drug Alcohol Abuse, 21(3), 345–361. https://doi.org/10.3109/00952999509002702.CrossRefPubMed

40.

Ziaaddini, H., Ebrahim-Nejad, B., & Nakhaee, N. (2013). The effectiveness of group therapy on the family functioning of individuals under methadone treatment: A clinical trial. Addiction Health, 5(1–2), 1.PubMedPubMedCentral

41.

Jalali, A., Yekzaman, M., Bazrafshan, M.-R., Salari, N., & Rahmati, M. (2018). Investigating the effect of family counseling on the acceptance and support of patients under methadone maintenance treatment. Shiraz E Medical Journal. https://doi.org/10.5812/semj.62347.CrossRef

Titel: Relationship between family functioning and health-related quality of life among methadone maintenance patients: a Bayesian approach
Auteurs: Khuong Quynh Long
Ong Phuc Thinh
Trinh Thi Kim Thao
Nguyen Van Huy
Vu Thi Hoang Lan
Vu Quynh Mai
Hoang Van Minh
Publicatiedatum: 06-08-2020
Uitgeverij: Springer International Publishing
Gepubliceerd in: Quality of Life Research / Uitgave 12/2020
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI: https://doi.org/10.1007/s11136-020-02598-z

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